{"pageNumber":"515","pageRowStart":"12850","pageSize":"25","recordCount":46666,"records":[{"id":70118084,"text":"70118084 - 2014 - Assessing the solubility controls on vanadium in groundwater, northeastern San Joaquin Valley, CA","interactions":[],"lastModifiedDate":"2014-07-28T10:01:01","indexId":"70118084","displayToPublicDate":"2014-07-25T14:35:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the solubility controls on vanadium in groundwater, northeastern San Joaquin Valley, CA","docAbstract":"<p>The solubility controls on vanadium (V) in groundwater were studied due to concerns over possible harmful health effects of ingesting V in drinking water. Vanadium concentrations in the northeastern San Joaquin Valley ranged from <3 μg/L to 70 μg/L with a median of 21 μg/L. Concentrations of V were highest in samples collected from oxic groundwater (49% > 25 μg/L) and lowest in samples collected from anoxic groundwater (70% < 0.8 μg/L). In oxic groundwater, speciation modeling (SM) using PHREEQC predicted that V exists primarily as the oxyanion H<sub>2</sub>VO<sub>4</sub><sup>−</sup>. Adsorption/desorption reactions with mineral surfaces and associated oxide coatings were indicated as the primary solubility control of V<sup>5+</sup> oxyanions in groundwater. Environmental data showed that V concentrations in oxic groundwater generally increased with increasing groundwater pH. However, data from adsorption isotherm experiments indicated that small variations in pH (7.4–8.2) were not likely as an important a factor as the inherent adsorption capacity of oxide assemblages coating the surface of mineral grains. In suboxic groundwater, accurate SM modeling was difficult since Eh measurements of source water were not measured in this study. Vanadium concentrations in suboxic groundwater decreased with increasing pH indicating that V may exist as an oxycationic species [e.g. V(OH)<sub>3</sub><sup>+</sup>]. Vanadium may complex with dissolved inorganic and organic ligands under suboxic conditions, which could alter the adsorption behavior of V in groundwater. Speciation modeling did not predict the existence of V-inorganic ligand complexes and organic ligands were not collected as part of this study. More work is needed to determine processes governing V solubility under suboxic groundwater conditions. Under anoxic groundwater conditions, SM predicts that aqueous V exists as the uncharged V(OH)<sub>3</sub> molecule. However, exceedingly low V concentrations show that V is sparingly soluble in anoxic conditions. Results indicated that V may be precipitating as V<sup>3+</sup>- or mixed V<sup>3+</sup>/Fe<sup>3+</sup>-oxides in anoxic groundwater, which is consistent with results of a previous study. The fact that V appears insoluble in anoxic (Fe reducing) redox conditions indicates that the behavior of V is different than arsenic (As) in aquifer systems where the reductive dissolution of Fe-oxides with As adsorbed to the surface is a well-documented mechanism for increasing As concentrations in groundwater. This hypothesis is supported by the relation of V to As concentrations in oxic versus anoxic redox conditions.</p>\n<br>\n<p>Sequential extraction procedures (SEP) applied to aquifer material showed that the greatest amount of V was recovered by the nitric acid (HNO<sub>3</sub>) extract (37–71%), followed by the oxalate-ascorbic acid extract (19–60%) and the oxalate extract (3–14%). These results indicate that V was not associated with the solid phase as an easily exchangeable fraction. Although the total amount of V recovered was greatest for the HNO<sub>3</sub> extract that targets V adsorbed to sorption sites of crystalline Al, Fe and Mn oxides, the greatest V saturation of sorption sites appeared to occur on the amorphous and poorly crystalline oxide solid phases targeted by the oxalate and oxalate-ascorbic acid extracts respectively. Adsorption isotherm experiments showed no correlation between V sorption and any of the fractions identified by the SEP. This lack of correlation indicates the application of an SEP alone is not adequate to estimate the sorption characteristics of V in an aquifer system.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.06.025","usgsCitation":"Wright, M.T., Stollenwerk, K.G., and Belitz, K., 2014, Assessing the solubility controls on vanadium in groundwater, northeastern San Joaquin Valley, CA: Applied Geochemistry, v. 48, p. 41-52, https://doi.org/10.1016/j.apgeochem.2014.06.025.","productDescription":"12 p.","startPage":"41","endPage":"52","numberOfPages":"12","ipdsId":"IP-045310","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":291026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291025,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2014.06.025"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,37.0 ], [ -121.5,38.5 ], [ -120.0,38.5 ], [ -120.0,37.0 ], [ -121.5,37.0 ] ] ] } } ] }","volume":"48","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f0a7e4b0bc0bec09f8bd","contributors":{"authors":[{"text":"Wright, Michael T. 0000-0003-0653-6466 mtwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-6466","contributorId":1508,"corporation":false,"usgs":true,"family":"Wright","given":"Michael","email":"mtwright@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":false,"id":496245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stollenwerk, Kenneth G. kgstolle@usgs.gov","contributorId":578,"corporation":false,"usgs":true,"family":"Stollenwerk","given":"Kenneth","email":"kgstolle@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":496244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":496243,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70113805,"text":"ofr20141127 - 2014 - Geologic logs of geotechnical cores from the subsurface Sacramento-San Joaquin Delta, California","interactions":[],"lastModifiedDate":"2014-07-25T12:51:08","indexId":"ofr20141127","displayToPublicDate":"2014-07-25T12:35:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1127","title":"Geologic logs of geotechnical cores from the subsurface Sacramento-San Joaquin Delta, California","docAbstract":"This report presents and summarizes descriptive geologic logs of geotechnical cores collected from 2009–12 in the Sacramento–San Joaquin Delta, California, by the California Department of Water Resources. Graphic logs are presented for 1,785.7 ft of retained cores from 56 borehole sites throughout the Sacramento-San Joaquin Delta. Most core sections are from a depth of ~100–200 feet. Cores primarily contain mud, silt, and sand lithologies. Tephra (volcanic ash and pumice), paleosols, and gravels are also documented in some core sections. Geologic observations contained in the core logs in this report provide stratigraphic context for subsequent sampling and data for future chronostratigraphic subsurface correlations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141127","collaboration":"Prepared in cooperation with the California Department of Water Resources","usgsCitation":"Maier, K., Ponti, D.J., Tinsley, J., Gatti, E., and Pagenkopp, M., 2014, Geologic logs of geotechnical cores from the subsurface Sacramento-San Joaquin Delta, California: U.S. Geological Survey Open-File Report 2014-1127, Report: iv, 16 p.; Appendix, https://doi.org/10.3133/ofr20141127.","productDescription":"Report: iv, 16 p.; Appendix","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-054788","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":291007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141127.jpg"},{"id":291004,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1127"},{"id":291005,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1127/pdf/ofr2014-1127.pdf"},{"id":291006,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1127/pdf/ofr2014-1127_appendix.pdf"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.8,37.8 ], [ -121.8,38.5 ], [ -121.45,38.5 ], [ -121.45,37.8 ], [ -121.8,37.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f0a7e4b0bc0bec09f8c1","contributors":{"authors":[{"text":"Maier, Katherine L.","contributorId":91411,"corporation":false,"usgs":true,"family":"Maier","given":"Katherine L.","affiliations":[],"preferred":false,"id":495199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ponti, Daniel J. 0000-0002-2437-5144 dponti@usgs.gov","orcid":"https://orcid.org/0000-0002-2437-5144","contributorId":1020,"corporation":false,"usgs":true,"family":"Ponti","given":"Daniel","email":"dponti@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":495196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tinsley, John C. III jtinsley@usgs.gov","contributorId":3266,"corporation":false,"usgs":true,"family":"Tinsley","given":"John C.","suffix":"III","email":"jtinsley@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":495197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gatti, Emma egatti@usgs.gov","contributorId":5302,"corporation":false,"usgs":true,"family":"Gatti","given":"Emma","email":"egatti@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":495198,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pagenkopp, Mark","contributorId":102802,"corporation":false,"usgs":true,"family":"Pagenkopp","given":"Mark","email":"","affiliations":[],"preferred":false,"id":495200,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70116799,"text":"fs20143064 - 2014 - Platinum-group elements: So many excellent properties","interactions":[],"lastModifiedDate":"2023-05-26T15:24:02.018359","indexId":"fs20143064","displayToPublicDate":"2014-07-25T08:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3064","title":"Platinum-group elements: So many excellent properties","docAbstract":"<p>The platinum-group elements (PGE) include platinum, palladium, rhodium, ruthenium, iridium, and osmium. These metals have similar physical and chemical properties and occur together in nature. The properties of PGE, such as high melting points, corrosion resistance, and catalytic qualities, make them indispensable to many industrial applications. PGE are strategic and critical materials for many nations because they are essential for important industrial applications but are mined in a limited number of places and have no adequate substitutes.</p>\n<br/>\n<p>Exploration and mining companies have found approximately 104,000 metric tons of PGE (with minor gold) in mineral deposits around the world that could be developed. For PGE, almost all known production and resources are associated with three geologic features: the Bushveld Complex, a layered mafic-to-ultramafic intrusion in South Africa; the Great Dyke, a layered mafic-to-ultramafic intrusion in Zimbabwe; and sill-like intrusions associated with flood basalts in the Noril’sk-Talnakh area, Russia.</p>\n<br/>\n<p>To help predict where PGE supplies might be located, USGS scientists study how and where PGE resources are concentrated in the Earth's crust and use that knowledge to assess the likelihood that undiscovered PGE deposits may exist. Techniques used for assessing mineral resources were developed by the USGS to support the stewardship of Federal lands and evaluate mineral resource availability in a global context. The USGS also compiles statistics and information on the worldwide supply, demand, and flow of PGE. These data are all used to inform U.S. national policymakers.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143064","collaboration":"USGS Mineral Resources Program","usgsCitation":"Zientek, M.L., and Loferski, P.J., 2014, Platinum-group elements: So many excellent properties: U.S. Geological Survey Fact Sheet 2014-3064, 2 p., https://doi.org/10.3133/fs20143064.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-054262","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":290959,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143064.jpg"},{"id":290958,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3064/pdf/fs2014-3064.pdf"},{"id":290957,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3064/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f0a7e4b0bc0bec09f8c3","contributors":{"authors":[{"text":"Zientek, Michael L. 0000-0002-8522-9626 mzientek@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":2420,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael","email":"mzientek@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":495854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loferski, Patricia J. ploferski@usgs.gov","contributorId":4096,"corporation":false,"usgs":true,"family":"Loferski","given":"Patricia","email":"ploferski@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":495855,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70114044,"text":"sir20145101 - 2014 - Characterization of salinity loads and selenium loads in the Smith Fork Creek region of the Lower Gunnison River Basin, western Colorado, 2008-2009","interactions":[],"lastModifiedDate":"2014-07-24T16:12:10","indexId":"sir20145101","displayToPublicDate":"2014-07-24T15:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5101","title":"Characterization of salinity loads and selenium loads in the Smith Fork Creek region of the Lower Gunnison River Basin, western Colorado, 2008-2009","docAbstract":"<p>The lower Gunnison River Basin of the Colorado River Basin has elevated salinity and selenium levels. The Colorado River Basin Salinity Control Act of June 24, 1974 (Public Law 93–320, amended by Public Law 98–569), authorized investigation of the Lower Gunnison Basin Unit Salinity Control Project by the U.S. Department of the Interior. The Bureau of Reclamation (Reclamation) and the Natural Resources Conservation Service are responsible for assessing and implementing measures to reduce salinity and selenium loading in the Colorado River Basin. Cost-sharing programs help farmers, ranchers, and canal companies improve the efficiency of water delivery systems and irrigation practices. The delivery systems (irrigation canals) have been identified as potential sources of seepage, which can contribute to salinity loading. Reclamation wants to identify seepage from irrigation systems in order to maximize the effectiveness of the various salinity-control methods, such as polyacrylamide lining and piping of irrigation canals programs. The U.S. Geological Survey, in cooperation with Reclamation, developed a study to characterize the salinity and selenium loading of seven subbasins in the Smith Fork Creek region and identify where control efforts can be maximized to reduce salinity and selenium loading.</p>\n<br/>\n<p>Total salinity loads ranged from 27.9±19.1 tons per year (t/yr) to 87,500±80,500 t/yr. The four natural subbasins—BkKm, RCG1, RCG2, and SF1—had total salinity loads of 27.9±19.1 t/yr, 371±248 t/yr, 2,180±1,590 t/yr, and 4,200±2,720 t/yr, respectively. The agriculturally influenced sites had salinity loads that ranged from 7,580±6,900 t/yr to 87,500±80,500 t/yr. Salinity loads for the subbasins AL1, B1, CK1, SF2, and SF3 were 7,580±6,900 t/yr; 28,300±26,700 t/yr; 48,700±36,100 t/yr; 87,500±80,900 t/yr; and 52,200±31,800 t/yr, respectively.</p>\n<br/>\n<p>The agricultural salinity load was separated into three components: tail water, deep percolation, and canal seepage. Annual tail-water salinity loads ranged from 48.0 to 2,750 tons in the Smith Fork Creek region. The largest tail-water salinity load was in subbasin SF3, and the lowest salinity load from tail water was in subbasin R1. The remaining four agricultural subbasins—AL1, B1, CK1, and SF2—had tail-water loads of 285 t/yr, 180 t/yr, 333 t/yr, and 1,700 t/yr, respectively. The deep percolation component of the agricultural salinity load ranged from 3,300 t/yr in subbasin AL1 to 51,800 t/yr in subbasin SF2. Subbasins R1, B1, CK1, and SF3 had deep percolation salinity loads of 4,940 t/yr, 15,200 t/yr, 21,200 t/yr, and 23,600 t/yr, respectively. The canal seepage component of the agricultural salinity load ranged from 1,100 t/yr in subbasin AL1 to 15,300 t/yr in subbasin CK1. Subbasins B1, R1, SF2, and SF3 had canal seepage salinity loads of 6,610 t/yr, 3,890 t/yr, 9,430 t/yr, and 12,100 t/yr, respectively.</p>\n<br/>\n<p>Four natural subbasins—RCG1, RCG2, SF1, and BkKm—were used to calculate natural salinity yields for the remaining subbasins. The appropriate salinity yield was applied to the corresponding number of acres and resulted in a natural salinity load for each subbasin. The annual salinity yields for the Dakota Sandstone and Burro Canyon Formation, Mancos Shale, and crystalline geologies are 0.217 tons per acre (t/acre), 0.113 t/acre, and 0.151 t/acre, respectively.</p>\n<br/>\n<p>Three of the four natural subbasins had little to no selenium load based on the measured data and calculated selenium loads. Subbasins RCG1 and RCG2 had surface-water selenium loads of 0.106±0.024 pounds (lb) and 0.00 lb, respectively. Subbasin BkKm did not have an estimated surface-water selenium load because of the lack of any water-quality samples during the study period. The subbasin designated by site CK1 had the highest selenium load with 135±38.7 lb, and the next highest subbasins in decreasing order are B1, SF3, AL1, SF1, and R1 with selenium loads of 69.6±28.4 lb, 56.5±23.8 lb, 30.5±16.6 lb, 26.8±6.95 lb, and 15.6±27.7 lb, respectively.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145101","collaboration":"Prepared in cooperation with the Bureau of Reclamation and the Colorado River Salinity Control Forum","usgsCitation":"Richards, R.J., Linard, J.I., and Hobza, C.M., 2014, Characterization of salinity loads and selenium loads in the Smith Fork Creek region of the Lower Gunnison River Basin, western Colorado, 2008-2009: U.S. Geological Survey Scientific Investigations Report 2014-5101, v, 34 p., https://doi.org/10.3133/sir20145101.","productDescription":"v, 34 p.","numberOfPages":"43","onlineOnly":"Y","ipdsId":"IP-045746","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":290955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145101.jpg"},{"id":290954,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5101/pdf/sir2014-5101.pdf"},{"id":290953,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5101/"}],"projection":"Universal Transverse Mercator projection Zone 13","datum":"North American Datum of 1983","country":"United States","state":"Colorado","otherGeospatial":"Gunnison River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.874069,38.49928 ], [ -107.874069,38.899583 ], [ -107.357025,38.899583 ], [ -107.357025,38.49928 ], [ -107.874069,38.49928 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f0a7e4b0bc0bec09f8c5","contributors":{"authors":[{"text":"Richards, Rodney J. 0000-0003-3953-984X rjrichar@usgs.gov","orcid":"https://orcid.org/0000-0003-3953-984X","contributorId":2204,"corporation":false,"usgs":true,"family":"Richards","given":"Rodney","email":"rjrichar@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linard, Joshua I. jilinard@usgs.gov","contributorId":1465,"corporation":false,"usgs":true,"family":"Linard","given":"Joshua","email":"jilinard@usgs.gov","middleInitial":"I.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495243,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70117797,"text":"70117797 - 2014 - Inference for finite-sample trajectories in dynamic multi-state site-occupancy models using hidden Markov model smoothing","interactions":[],"lastModifiedDate":"2014-07-24T12:49:41","indexId":"70117797","displayToPublicDate":"2014-07-24T12:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1573,"text":"Environmental and Ecological Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Inference for finite-sample trajectories in dynamic multi-state site-occupancy models using hidden Markov model smoothing","docAbstract":"Ecologists and wildlife biologists increasingly use latent variable models to study patterns of species occurrence when detection is imperfect. These models have recently been generalized to accommodate both a more expansive description of state than simple presence or absence, and Markovian dynamics in the latent state over successive sampling seasons. In this paper, we write these multi-season, multi-state models as hidden Markov models to find both maximum likelihood estimates of model parameters and finite-sample estimators of the trajectory of the latent state over time. These estimators are especially useful for characterizing population trends in species of conservation concern. We also develop parametric bootstrap procedures that allow formal inference about latent trend. We examine model behavior through simulation, and we apply the model to data from the North American Amphibian Monitoring Program.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental and Ecological Statistics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10651-013-0256-1","usgsCitation":"Fiske, I.J., Royle, J., and Gross, K., 2014, Inference for finite-sample trajectories in dynamic multi-state site-occupancy models using hidden Markov model smoothing: Environmental and Ecological Statistics, v. 21, no. 2, p. 313-328, https://doi.org/10.1007/s10651-013-0256-1.","productDescription":"16 p.","startPage":"313","endPage":"328","numberOfPages":"16","ipdsId":"IP-019312","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":290919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290916,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10651-013-0256-1"}],"volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-06-25","publicationStatus":"PW","scienceBaseUri":"57f7f0a7e4b0bc0bec09f8cd","contributors":{"authors":[{"text":"Fiske, Ian J.","contributorId":96411,"corporation":false,"usgs":true,"family":"Fiske","given":"Ian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":496095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":496094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gross, Kevin","contributorId":71483,"corporation":false,"usgs":true,"family":"Gross","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":496093,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70117793,"text":"70117793 - 2014 - Below the disappearing marshes of an urban estuary: historic nitrogen trends and soil structure","interactions":[],"lastModifiedDate":"2014-07-24T11:41:34","indexId":"70117793","displayToPublicDate":"2014-07-24T11:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Below the disappearing marshes of an urban estuary: historic nitrogen trends and soil structure","docAbstract":"Marshes in the urban Jamaica Bay Estuary, New York, USA are disappearing at an average rate of 13 ha/yr, and multiple stressors (e.g., wastewater inputs, dredging activities, groundwater removal, and global warming) may be contributing to marsh losses. Among these stressors, wastewater nutrients are suspected to be an important contributing cause of marsh deterioration. We used census data, radiometric dating, stable nitrogen isotopes, and soil surveys to examine the temporal relationships between human population growth and soil nitrogen; and we evaluated soil structure with computer-aided tomography, surface elevation and sediment accretion trends, carbon dioxide emissions, and soil shear strength to examine differences among disappearing (Black Bank and Big Egg) and stable marshes (JoCo). Radiometric dating and nitrogen isotope analyses suggested a rapid increase in human wastewater nutrients beginning in the late 1840s, and a tapering off beginning in the 1930s when wastewater treatment plants (WWTPs) were first installed. Current WWTPs nutrient loads to Jamaica Bay are approximately 13 995 kg N/d and 2767 kg P/d. At Black Bank, the biomass and abundance of roots and rhizomes and percentage of organic matter on soil were significantly lower, rhizomes larger in diameter, carbon dioxide emission rates and peat particle density significantly greater, and soil strength significantly lower compared to the stable JoCo Marsh, suggesting Black Bank has elevated decomposition rates, more decomposed peat, and highly waterlogged peat. Despite these differences, the rates of accretion and surface elevation change were similar for both marshes, and the rates of elevation change approximated the long term relative rate of sea level rise estimated from tide gauge data at nearby Sandy Hook, New Jersey. We hypothesize that Black Bank marsh kept pace with sea level rise by the accretion of material on the marsh surface, and the maintenance of soil volume through production of larger diameter rhizomes and swelling (dilation) of waterlogged peat. JoCo Marsh kept pace with sea-level rise through surface accretion and soil organic matter accumulation. Understanding the effects of multiple stressors, including nutrient enrichment, on soil structure, organic matter accumulation, and elevation change will better inform management decisions aimed at maintaining and restoring coastal marshes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-0594.1","usgsCitation":"Wigand, C., Roman, C., Davey, E., Stolt, M., Johnson, R., Hanson, A., Watson, E.B., Moran, S.B., Cahoon, D.R., Lynch, J., and Rafferty, P., 2014, Below the disappearing marshes of an urban estuary: historic nitrogen trends and soil structure: Ecological Applications, v. 24, no. 4, p. 633-649, https://doi.org/10.1890/13-0594.1.","productDescription":"17 p.","startPage":"633","endPage":"649","numberOfPages":"17","ipdsId":"IP-046181","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472861,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/13-0594.1","text":"Publisher Index Page"},{"id":290900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290897,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/13-0594.1"}],"country":"United States","state":"New York","otherGeospatial":"Jamaica Bay Estuary","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.049671,40.539818 ], [ -74.049671,40.780 ], [ -73.598545,40.780 ], [ -73.598545,40.539818 ], [ -74.049671,40.539818 ] ] ] } } ] }","volume":"24","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f0a7e4b0bc0bec09f8cf","contributors":{"authors":[{"text":"Wigand, Cathleen","contributorId":70700,"corporation":false,"usgs":true,"family":"Wigand","given":"Cathleen","email":"","affiliations":[],"preferred":false,"id":496079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roman, Charles T.","contributorId":28171,"corporation":false,"usgs":true,"family":"Roman","given":"Charles T.","affiliations":[],"preferred":false,"id":496073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davey, Earl","contributorId":65770,"corporation":false,"usgs":true,"family":"Davey","given":"Earl","email":"","affiliations":[],"preferred":false,"id":496077,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stolt, Mark","contributorId":73506,"corporation":false,"usgs":true,"family":"Stolt","given":"Mark","email":"","affiliations":[],"preferred":false,"id":496080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Roxanne","contributorId":38066,"corporation":false,"usgs":true,"family":"Johnson","given":"Roxanne","email":"","affiliations":[],"preferred":false,"id":496074,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hanson, Alana","contributorId":106022,"corporation":false,"usgs":true,"family":"Hanson","given":"Alana","email":"","affiliations":[],"preferred":false,"id":496082,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Watson, Elizabeth B.","contributorId":56562,"corporation":false,"usgs":true,"family":"Watson","given":"Elizabeth","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":496076,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moran, S. Bradley","contributorId":101339,"corporation":false,"usgs":true,"family":"Moran","given":"S.","email":"","middleInitial":"Bradley","affiliations":[],"preferred":false,"id":496081,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":496072,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lynch, James C.","contributorId":54717,"corporation":false,"usgs":true,"family":"Lynch","given":"James C.","affiliations":[],"preferred":false,"id":496075,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rafferty, Patricia","contributorId":70296,"corporation":false,"usgs":true,"family":"Rafferty","given":"Patricia","affiliations":[],"preferred":false,"id":496078,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70116466,"text":"ofr20141146 - 2014 - Field methods and quality-assurance plan for water-quality activities and water-level measurements, U.S. Geological Survey, Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2014-07-24T10:29:51","indexId":"ofr20141146","displayToPublicDate":"2014-07-24T10:25:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1146","title":"Field methods and quality-assurance plan for water-quality activities and water-level measurements, U.S. Geological Survey, Idaho National Laboratory, Idaho","docAbstract":"<p>Water-quality activities and water-level measurements by the personnel of the U.S. Geological Survey (USGS) Idaho National Laboratory (INL) Project Office coincide with the USGS mission of appraising the quantity and quality of the Nation’s water resources. The activities are carried out in cooperation with the U.S. Department of Energy (DOE) Idaho Operations Office. Results of the water-quality and hydraulic head investigations are presented in various USGS publications or in refereed scientific journals and the data are stored in the National Water Information System (NWIS) database. The results of the studies are used by researchers, regulatory and managerial agencies, and interested civic groups.</p>\n<br/>\n<p>In the broadest sense, quality assurance refers to doing the job right the first time. It includes the functions of planning for products, review and acceptance of the products, and an audit designed to evaluate the system that produces the products. Quality control and quality assurance differ in that quality control ensures that things are done correctly given the “state-of-the-art” technology, and quality assurance ensures that quality control is maintained within specified limits.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141146","collaboration":"DOE/ID-22230. Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Bartholomay, R.C., Maimer, N.V., and Wehnke, A.J., 2014, Field methods and quality-assurance plan for water-quality activities and water-level measurements, U.S. Geological Survey, Idaho National Laboratory, Idaho: U.S. Geological Survey Open-File Report 2014-1146, Report: iv, 66 p.; Appendix B, https://doi.org/10.3133/ofr20141146.","productDescription":"Report: iv, 66 p.; Appendix B","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-052534","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":290874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141146.PNG"},{"id":290872,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1146/pdf/ofr2014-1146.pdf"},{"id":290873,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1146/downloads/ofr2014-1146_appendixB.xls"},{"id":290871,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1146/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f0a7e4b0bc0bec09f8d5","contributors":{"authors":[{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maimer, Neil V. 0000-0003-3047-3282 nmaimer@usgs.gov","orcid":"https://orcid.org/0000-0003-3047-3282","contributorId":5659,"corporation":false,"usgs":true,"family":"Maimer","given":"Neil","email":"nmaimer@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wehnke, Amy J. 0000-0003-1237-052X ajwehnke@usgs.gov","orcid":"https://orcid.org/0000-0003-1237-052X","contributorId":5660,"corporation":false,"usgs":true,"family":"Wehnke","given":"Amy","email":"ajwehnke@usgs.gov","middleInitial":"J.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495812,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70117677,"text":"70117677 - 2014 - Radar analysis of fall bird migration stopover sites in the northeastern U.S.","interactions":[],"lastModifiedDate":"2014-07-25T12:29:25","indexId":"70117677","displayToPublicDate":"2014-07-24T10:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Radar analysis of fall bird migration stopover sites in the northeastern U.S.","docAbstract":"The national network of weather surveillance radars (WSR-88D) detects flying birds and is a useful remote-sensing tool for ornithological study. We used data collected during fall 2008 and 2009 by 16 WSR-88D radars in the northeastern U.S. to quantify the spatial distribution of landbirds during migratory stopover. We geo-referenced estimates based on radar reflectivity, of the density of migrants aloft at their abrupt evening exodus from daytime stopover sites, to the approximate locations from which they emerged. We classified bird stopover use by the magnitude and variation of radar reflectivity across nights; areas were considered “important” stopover sites for conservation if bird density was consistently high. We developed statistical models that predict potentially important stopover sites across the region, based on land cover, ground elevation, and geographic location. Large areas of regionally important stopover sites were located along the coastlines of Long Island Sound, throughout the Delmarva Peninsula, in areas surrounding Baltimore and Washington, along the western edge of the Adirondack Mountains, and within the Appalachian Mountains of southwestern Virginia and West Virginia. Locally important stopover sites generally were associated with deciduous forests embedded within landscapes dominated by developed or agricultural lands, or near the shores of major water bodies. Preserving or enhancing patches of natural habitat, particularly deciduous forests, in developed or agricultural landscapes and along major coastlines could be a priority for conservation plans addressing the stopover requirements of migratory landbirds in the northeastern U.S. Our maps of important stopover sites can be used to focus conservation efforts and can serve as a sampling frame for fieldwork to validate radar observations or for ecological studies of landbirds on migratory stopover.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-13-162.1","usgsCitation":"Buler, J., and Dawson, D.K., 2014, Radar analysis of fall bird migration stopover sites in the northeastern U.S.: The Condor, v. 116, no. 3, p. 357-370, https://doi.org/10.1650/CONDOR-13-162.1.","productDescription":"14 p.","startPage":"357","endPage":"370","numberOfPages":"14","ipdsId":"IP-053278","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472863,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1650/CONDOR-13-162.1","text":"External Repository"},{"id":290869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290829,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1650/CONDOR-13-162.1"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.08,35.21 ], [ -83.08,47.19 ], [ -64.93,47.19 ], [ -64.93,35.21 ], [ -83.08,35.21 ] ] ] } } ] }","volume":"116","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f0a7e4b0bc0bec09f8d7","contributors":{"authors":[{"text":"Buler, Jeffrey J.","contributorId":78431,"corporation":false,"usgs":true,"family":"Buler","given":"Jeffrey J.","affiliations":[],"preferred":false,"id":496055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Deanna K. ddawson@usgs.gov","contributorId":1257,"corporation":false,"usgs":true,"family":"Dawson","given":"Deanna","email":"ddawson@usgs.gov","middleInitial":"K.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":496054,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189090,"text":"70189090 - 2014 - Application of near-surface geophysics as part of a hydrologic study of a subsurface drip irrigation system along the Powder River floodplain near Arvada, Wyoming","interactions":[],"lastModifiedDate":"2017-06-29T14:59:50","indexId":"70189090","displayToPublicDate":"2014-07-24T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Application of near-surface geophysics as part of a hydrologic study of a subsurface drip irrigation system along the Powder River floodplain near Arvada, Wyoming","docAbstract":"<p id=\"sp0005\">Rapid development of coalbed natural gas (CBNG) production in the Powder River Basin (PRB) of Wyoming has occurred since 1997. National attention related to CBNG development has focused on produced water management, which is the single largest cost for on-shore domestic producers. Low-cost treatment technologies allow operators to reduce their disposal costs, provide treated water for beneficial use, and stimulate oil and gas production by small operators. Subsurface drip irrigation (SDI) systems are one potential treatment option that allows for increased CBNG production by providing a beneficial use for the produced water in farmland irrigation.</p><p id=\"sp0010\">Water management practices in the development of CBNG in Wyoming have been aided by integrated geophysical, geochemical, and hydrologic studies of both the disposal and utilization of water. The U.S. Department of Energy (DOE) National Energy Technology Laboratory (NETL) and the U.S. Geological Survey (USGS) have utilized multi-frequency airborne, ground, and borehole electromagnetic (EM) and ground resistivity methods to characterize the near-surface hydrogeology in areas of produced water disposal. These surveys provide near-surface EM data that can be compared with results of previous surveys to monitor changes in soils and local hydrology over time as the produced water is discharged through SDI.</p><p id=\"sp0015\">The focus of this investigation is the Headgate Draw SDI site, situated adjacent to the Powder River near the confluence of a major tributary, Crazy Woman Creek, in Johnson County, Wyoming. The SDI system was installed during the summer of 2008 and began operation in October of 2008. Ground, borehole, and helicopter electromagnetic (HEM) conductivity surveys were conducted at the site prior to the installation of the SDI system. After the installation of the subsurface drip irrigation system, ground EM surveys have been performed quarterly (weather permitting). The geophysical surveys map the heterogeneity of the near-surface geology and hydrology of the study area. The geophysical data are consistent between surveys using different techniques and between surveys carried out at different times from 2007 through 2011. This paper summarizes geophysical results from the 4-year monitoring study of the SDI system.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2013.10.009","usgsCitation":"Sams, J., Veloski, G., Smith, B.D., Minsley, B.J., Engle, M.A., Lipinski, B.A., Hammack, R.W., and Zupancic, J.W., 2014, Application of near-surface geophysics as part of a hydrologic study of a subsurface drip irrigation system along the Powder River floodplain near Arvada, Wyoming: International Journal of Coal Geology, v. 126, p. 128-139, https://doi.org/10.1016/j.coal.2013.10.009.","productDescription":"12 p.","startPage":"128","endPage":"139","ipdsId":"IP-045676","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Powder River floodplain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.14084720611572,\n              44.482728653624804\n            ],\n            [\n              -106.10921859741211,\n              44.482728653624804\n            ],\n            [\n              -106.10921859741211,\n              44.49984185895695\n            ],\n            [\n              -106.14084720611572,\n              44.49984185895695\n            ],\n            [\n              -106.14084720611572,\n              44.482728653624804\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"126","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611c1e4b0d1f9f050679d","contributors":{"authors":[{"text":"Sams, James I.","contributorId":193983,"corporation":false,"usgs":false,"family":"Sams","given":"James I.","affiliations":[],"preferred":false,"id":702819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Veloski, Garret","contributorId":193984,"corporation":false,"usgs":false,"family":"Veloski","given":"Garret","email":"","affiliations":[],"preferred":false,"id":702820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":702818,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lipinski, Brian A.","contributorId":193985,"corporation":false,"usgs":false,"family":"Lipinski","given":"Brian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":702821,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hammack, Richard W.","contributorId":150019,"corporation":false,"usgs":false,"family":"Hammack","given":"Richard","email":"","middleInitial":"W.","affiliations":[{"id":17887,"text":"National Energy Technology Laboratory, Department of Energy","active":true,"usgs":false}],"preferred":false,"id":702822,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zupancic, John W.","contributorId":193986,"corporation":false,"usgs":false,"family":"Zupancic","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":702823,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70119416,"text":"70119416 - 2014 - COSMO-SkyMed Spotlight interometry over rural areas: the Slumgullion landslide in Colorado, USA","interactions":[],"lastModifiedDate":"2017-06-10T11:16:08","indexId":"70119416","displayToPublicDate":"2014-07-23T15:57:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1942,"text":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"COSMO-SkyMed Spotlight interometry over rural areas: the Slumgullion landslide in Colorado, USA","docAbstract":"In the last 7 years, spaceborne synthetic aperture radar (SAR) data with resolution of better than a meter acquired by satellites in spotlight mode offered an unprecedented improvement in SAR interferometry (InSAR). Most attention has been focused on monitoring urban areas and man-made infrastructure exploiting geometric accuracy, stability, and phase fidelity of the spotlight mode. In this paper, we explore the potential application of the COSMO-SkyMed® Spotlight mode to rural areas where decorrelation is substantial and rapidly increases with time. We focus on the rapid repeat times of as short as one day possible with the COSMO-SkyMed® constellation. We further present a qualitative analysis of spotlight interferometry over the Slumgullion landslide in southwest Colorado, which moves at rates of more than 1 cm/day.","language":"English","publisher":"IEEE Geoscience and Remote Sensing Society","doi":"10.1109/JSTARS.2014.2345664","usgsCitation":"Milillo, P., Fielding, E.J., Schulz, W.H., Delbridge, B., and Burgmann, R., 2014, COSMO-SkyMed Spotlight interometry over rural areas: the Slumgullion landslide in Colorado, USA: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 7, no. 7, p. 2919-2926, https://doi.org/10.1109/JSTARS.2014.2345664.","productDescription":"8 p.","startPage":"2919","endPage":"2926","ipdsId":"IP-058488","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":294389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0603,36.9924 ], [ -109.0603,41.0034 ], [ -102.0409,41.0034 ], [ -102.0409,36.9924 ], [ -109.0603,36.9924 ] ] ] } } ] }","volume":"7","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422bb1be4b08312ac7cef7d","contributors":{"authors":[{"text":"Milillo, Pietro","contributorId":9587,"corporation":false,"usgs":true,"family":"Milillo","given":"Pietro","email":"","affiliations":[],"preferred":false,"id":497677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fielding, Eric J.","contributorId":99837,"corporation":false,"usgs":true,"family":"Fielding","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":497681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schulz, William H.","contributorId":91927,"corporation":false,"usgs":true,"family":"Schulz","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":497679,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Delbridge, Brent","contributorId":52093,"corporation":false,"usgs":true,"family":"Delbridge","given":"Brent","affiliations":[],"preferred":false,"id":497678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burgmann, Roland","contributorId":95128,"corporation":false,"usgs":true,"family":"Burgmann","given":"Roland","affiliations":[],"preferred":false,"id":497680,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70112606,"text":"70112606 - 2014 - Biomass modeling of four water intensiveleading world crops using hyperspectral narrowbands in support of HyspIRI Mission","interactions":[],"lastModifiedDate":"2017-06-30T13:51:21","indexId":"70112606","displayToPublicDate":"2014-07-23T15:34:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Biomass modeling of four water intensiveleading world crops using hyperspectral narrowbands in support of HyspIRI Mission","docAbstract":"New satellite missions are expected to record high spectral resolution information globally and consistently for the first time, so it is important to identify modeling techniques that take advantage of these new data. In this paper, we estimate biomass for four major crops using ground-based hyperspectral narrowbands. The spectra and their derivatives are evaluated using three modeling techniques: two-band hyperspectral vegetation indices (HVIs), multiple band-HVIs (MB-HVIs) developed from Sequential Search Methods (SSM), and MB-HVIs developed from Principal Component Regression. Overall, the two-band HVIs and MB-HVIs developed from SSMs using first derivative transformed spectra in the visible blue and green and NIR explained more biomass variability and had lower error than the other approaches or transformations; however a better search criterion needs to be developed in order to reflect the true ability of the two-band HVI approach. Short-Wave Infrared 1 (1000 to 1700 nm) proved less effective, but still important in the final models.","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.80.8.757","usgsCitation":"Marshall, M.T., and Thenkabail, P.S., 2014, Biomass modeling of four water intensiveleading world crops using hyperspectral narrowbands in support of HyspIRI Mission: Photogrammetric Engineering and Remote Sensing, v. 80, no. 8, p. 757-772, https://doi.org/10.14358/PERS.80.8.757.","productDescription":"16 p.","startPage":"757","endPage":"772","ipdsId":"IP-052043","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472864,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.80.8.757","text":"Publisher Index Page"},{"id":294385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294384,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.14358/PERS.80.8.757"}],"volume":"80","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422bb19e4b08312ac7cef52","contributors":{"authors":[{"text":"Marshall, Michael T. mmarshall@usgs.gov","contributorId":5480,"corporation":false,"usgs":true,"family":"Marshall","given":"Michael","email":"mmarshall@usgs.gov","middleInitial":"T.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":494840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":494839,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70117138,"text":"70117138 - 2014 - Accuracy of travel time distribution (TTD) models as affected by TTD complexity, observation errors, and model and tracer selection","interactions":[],"lastModifiedDate":"2018-09-18T10:10:50","indexId":"70117138","displayToPublicDate":"2014-07-23T14:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy of travel time distribution (TTD) models as affected by TTD complexity, observation errors, and model and tracer selection","docAbstract":"Analytical models of the travel time distribution (TTD) from a source area to a sample location are often used to estimate groundwater ages and solute concentration trends. The accuracies of these models are not well known for geologically complex aquifers. In this study, synthetic datasets were used to quantify the accuracy of four analytical TTD models as affected by TTD complexity, observation errors, model selection, and tracer selection. Synthetic TTDs and tracer data were generated from existing numerical models with complex hydrofacies distributions for one public-supply well and 14 monitoring wells in the Central Valley, California. Analytical TTD models were calibrated to synthetic tracer data, and prediction errors were determined for estimates of TTDs and conservative tracer (NO<sub>3</sub>−) concentrations. Analytical models included a new, scale-dependent dispersivity model (SDM) for two-dimensional transport from the watertable to a well, and three other established analytical models. The relative influence of the error sources (TTD complexity, observation error, model selection, and tracer selection) depended on the type of prediction. Geological complexity gave rise to complex TTDs in monitoring wells that strongly affected errors of the estimated TTDs. However, prediction errors for NO3− and median age depended more on tracer concentration errors. The SDM tended to give the most accurate estimates of the vertical velocity and other predictions, although TTD model selection had minor effects overall. Adding tracers improved predictions if the new tracers had different input histories. Studies using TTD models should focus on the factors that most strongly affect the desired predictions.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014WR015625","usgsCitation":"Green, C.T., Zhang, Y., Jurgens, B., Starn, J.J., and Landon, M.K., 2014, Accuracy of travel time distribution (TTD) models as affected by TTD complexity, observation errors, and model and tracer selection: Water Resources Research, v. 50, no. 7, p. 6191-6213, https://doi.org/10.1002/2014WR015625.","productDescription":"23 p.","startPage":"6191","endPage":"6213","ipdsId":"IP-052071","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":472865,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014wr015625","text":"Publisher Index Page"},{"id":294376,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2014WR015625"},{"id":294377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.7757,35.0674 ], [ -122.7757,40.7363 ], [ -118.7989,40.7363 ], [ -118.7989,35.0674 ], [ -122.7757,35.0674 ] ] ] } } ] }","volume":"50","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-07-30","publicationStatus":"PW","scienceBaseUri":"5422bb0de4b08312ac7ceedd","contributors":{"authors":[{"text":"Green, Christopher T. 0000-0002-6480-8194 ctgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":1343,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"ctgreen@usgs.gov","middleInitial":"T.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":495946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Yong","contributorId":19029,"corporation":false,"usgs":true,"family":"Zhang","given":"Yong","affiliations":[],"preferred":false,"id":495947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":22454,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant C.","affiliations":[],"preferred":false,"id":495948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Starn, J. Jeffrey","contributorId":101617,"corporation":false,"usgs":true,"family":"Starn","given":"J.","email":"","middleInitial":"Jeffrey","affiliations":[],"preferred":false,"id":495949,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495945,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70117436,"text":"fs20143066 - 2014 - The 3D Elevation Program: summary for North Carolina","interactions":[],"lastModifiedDate":"2016-08-17T15:38:02","indexId":"fs20143066","displayToPublicDate":"2014-07-23T13:02:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3066","title":"The 3D Elevation Program: summary for North Carolina","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, and recreation. For the State of North Carolina, elevation data are critical for flood risk management, natural resources conservation, agriculture and precision farming, infrastructure and construction management, forest resources management, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment (NEEA; Dewberry, 2011) evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the use community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143066","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for North Carolina: U.S. Geological Survey Fact Sheet 2014-3066, 2 p., https://doi.org/10.3133/fs20143066.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057847","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":290809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143066.jpg"},{"id":290808,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3066/pdf/fs2014-3066.pdf","text":"Report","size":"401 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":290794,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3066/"}],"country":"United States","state":"North Carolina","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-75.753765,35.199612],[-75.718015,35.209377],[-75.684006,35.232913],[-75.664512,35.227514],[-75.630358,35.238487],[-75.599005,35.256253],[-75.596915,35.269491],[-75.581935,35.263917],[-75.535741,35.272856],[-75.529393,35.288272],[-75.487678,35.485056],[-75.487528,35.525889],[-75.47861,35.553069],[-75.48133,35.622896],[-75.487678,35.648287],[-75.507385,35.680564],[-75.515397,35.73038],[-75.533512,35.773577],[-75.522232,35.774178],[-75.496086,35.728515],[-75.458659,35.596597],[-75.471355,35.479615],[-75.486771,35.391652],[-75.52592,35.233839],[-75.533627,35.225825],[-75.560225,35.232048],[-75.610101,35.227514],[-75.769705,35.180359],[-75.944725,35.105091],[-76.013145,35.061855],[-76.013561,35.068832],[-75.99188,35.092395],[-75.989175,35.115165],[-75.98395,35.120042],[-75.9547,35.1196],[-75.893942,35.150433],[-75.801444,35.183079],[-75.785729,35.194244],[-75.753765,35.199612]]],[[[-75.675245,35.929024],[-75.65954,35.919564],[-75.662019,35.906522],[-75.64512,35.905788],[-75.62767,35.883149],[-75.616833,35.856331],[-75.619772,35.847606],[-75.614361,35.815659],[-75.620454,35.809253],[-75.63898,35.818639],[-75.667891,35.82354],[-75.675054,35.830204],[-75.660086,35.83861],[-75.663356,35.869835],[-75.67283,35.882423],[-75.681415,35.88398],[-75.697672,35.901639],[-75.696871,35.909556],[-75.702165,35.915428],[-75.723782,35.925569],[-75.727251,35.93362],[-75.718266,35.939714],[-75.705323,35.939403],[-75.675245,35.929024]]],[[[-76.12236,36.550621],[-75.867044,36.550754],[-75.818735,36.357579],[-75.773329,36.231529],[-75.71831,36.113674],[-75.658537,36.02043],[-75.569794,35.863301],[-75.533012,35.787377],[-75.536428,35.780118],[-75.543259,35.779691],[-75.573083,35.828867],[-75.588878,35.844926],[-75.619151,35.889415],[-75.620114,35.925288],[-75.648899,35.965758],[-75.668379,35.978394],[-75.678909,35.993925],[-75.723662,36.003139],[-75.727084,36.01051],[-75.722609,36.037362],[-75.737088,36.040784],[-75.74051,36.046839],[-75.73972,36.07527],[-75.75572,36.153922],[-75.783676,36.215949],[-75.811588,36.244014],[-75.808165,36.259545],[-75.814483,36.285344],[-75.822907,36.291662],[-75.837913,36.294558],[-75.845284,36.305614],[-75.841335,36.328517],[-75.831858,36.339047],[-75.831595,36.346418],[-75.836201,36.363135],[-75.85147,36.379456],[-75.85147,36.415785],[-75.864106,36.430527],[-75.888325,36.441583],[-75.899908,36.482124],[-75.907279,36.485809],[-75.924127,36.482124],[-75.935473,36.490601],[-75.972545,36.494671],[-76.003708,36.506235],[-76.023627,36.500778],[-76.031949,36.482496],[-76.012337,36.447462],[-75.98005,36.435464],[-75.962285,36.41724],[-75.940676,36.41885],[-75.928369,36.428588],[-75.923601,36.425788],[-75.916409,36.38901],[-75.923331,36.361863],[-75.895285,36.319615],[-75.882154,36.284674],[-75.864933,36.284674],[-75.86052,36.280607],[-75.867356,36.252483],[-75.864154,36.235522],[-75.858703,36.222628],[-75.848838,36.21657],[-75.838367,36.200129],[-75.839924,36.17711],[-75.823915,36.158332],[-75.822531,36.145957],[-75.800378,36.112728],[-75.791637,36.082267],[-75.793974,36.07171],[-75.836084,36.092616],[-75.867792,36.127262],[-75.863914,36.159226],[-75.882987,36.186807],[-75.910658,36.212157],[-75.922344,36.244122],[-75.94984,36.25787],[-75.96462,36.254433],[-75.957058,36.247903],[-75.945372,36.222468],[-75.956027,36.198065],[-75.936436,36.18088],[-75.904999,36.164188],[-75.939047,36.165518],[-76.016984,36.186367],[-76.029086,36.202036],[-76.043838,36.210126],[-76.054308,36.229162],[-76.08148,36.237935],[-76.132005,36.287773],[-76.184702,36.298166],[-76.188717,36.281242],[-76.171378,36.265806],[-76.149486,36.263902],[-76.115851,36.214219],[-76.080106,36.19944],[-76.05992,36.15514],[-76.064224,36.143775],[-76.092555,36.135794],[-76.178946,36.123424],[-76.206873,36.137521],[-76.254064,36.18419],[-76.273316,36.189062],[-76.27699,36.184952],[-76.247401,36.161823],[-76.228527,36.130647],[-76.191715,36.107197],[-76.216599,36.095409],[-76.265037,36.104886],[-76.329921,36.133396],[-76.373571,36.138208],[-76.3935,36.163251],[-76.447812,36.192514],[-76.454414,36.189901],[-76.456061,36.183577],[-76.375892,36.12042],[-76.346418,36.121023],[-76.334965,36.110903],[-76.298733,36.1012],[-76.303998,36.092776],[-76.323478,36.084879],[-76.355069,36.086458],[-76.410878,36.078034],[-76.420881,36.06066],[-76.451418,36.039073],[-76.459316,36.024331],[-76.491959,36.018013],[-76.514335,36.00564],[-76.547505,36.009852],[-76.580674,36.00722],[-76.60384,36.033018],[-76.615423,36.037757],[-76.653332,36.035124],[-76.676484,36.043612],[-76.721445,36.147838],[-76.719401,36.199441],[-76.675462,36.266882],[-76.693253,36.278357],[-76.744436,36.212725],[-76.7521,36.147328],[-76.722996,36.066585],[-76.679657,35.991951],[-76.70019,35.964573],[-76.692376,35.945342],[-76.667547,35.933509],[-76.528551,35.944039],[-76.473795,35.960888],[-76.460632,35.970365],[-76.398242,35.984317],[-76.38192,35.971681],[-76.381394,35.96273],[-76.362966,35.942197],[-76.340327,35.94325],[-76.317687,35.946935],[-76.272408,35.972734],[-76.213966,35.988002],[-76.176585,35.993267],[-76.093697,35.993001],[-76.083131,35.989845],[-76.062071,35.993004],[-76.024162,35.970891],[-76.014159,35.957202],[-76.01995,35.934036],[-76.014353,35.920746],[-76.063203,35.853433],[-76.050485,35.806689],[-76.046813,35.717935],[-76.036393,35.690344],[-76.046361,35.659067],[-76.04015,35.65131],[-76.029863,35.649443],[-76.013808,35.669103],[-75.9869,35.768194],[-75.987148,35.836967],[-75.97783,35.897181],[-75.962562,35.901393],[-75.94782,35.920347],[-75.927286,35.93193],[-75.92676,35.940354],[-75.943608,35.952464],[-75.947293,35.959835],[-75.899382,35.977209],[-75.84989,35.976156],[-75.80935,35.959308],[-75.800926,35.944566],[-75.782498,35.935615],[-75.778813,35.918241],[-75.751961,35.878227],[-75.748276,35.852428],[-75.734587,35.839266],[-75.727216,35.822703],[-75.726689,35.811361],[-75.739357,35.770994],[-75.724743,35.742892],[-75.71294,35.69849],[-75.713502,35.693993],[-75.741605,35.672073],[-75.742167,35.655212],[-75.729802,35.625985],[-75.747225,35.610248],[-75.778138,35.592262],[-75.775328,35.579335],[-75.837154,35.570904],[-75.859636,35.586641],[-75.895045,35.573152],[-75.916403,35.538305],[-75.950126,35.530998],[-75.964178,35.511326],[-75.963053,35.493903],[-75.987222,35.484348],[-75.995652,35.475355],[-75.997901,35.453435],[-76.009704,35.442194],[-76.01139,35.423084],[-76.020945,35.410719],[-76.025441,35.408471],[-76.050171,35.415778],[-76.059726,35.410157],[-76.063661,35.405099],[-76.059726,35.383741],[-76.069281,35.370813],[-76.132793,35.349455],[-76.14291,35.338776],[-76.14291,35.32866],[-76.149655,35.326411],[-76.182254,35.336528],[-76.20586,35.336528],[-76.235087,35.350017],[-76.253072,35.350017],[-76.257569,35.344397],[-76.265437,35.343273],[-76.282299,35.345521],[-76.304781,35.355638],[-76.327263,35.356762],[-76.335132,35.355638],[-76.340752,35.346645],[-76.349745,35.345521],[-76.382344,35.356762],[-76.399206,35.348893],[-76.408199,35.350017],[-76.431805,35.362383],[-76.436301,35.37812],[-76.448666,35.383741],[-76.462156,35.380368],[-76.472273,35.371375],[-76.485762,35.371375],[-76.540292,35.410657],[-76.586349,35.508957],[-76.476706,35.511707],[-76.456427,35.550546],[-76.471207,35.55742],[-76.48358,35.538172],[-76.55679,35.528892],[-76.600441,35.538516],[-76.634468,35.510332],[-76.601472,35.460838],[-76.580187,35.387113],[-76.606041,35.387113],[-76.710083,35.427155],[-76.759234,35.418906],[-76.830897,35.447949],[-76.942022,35.473529],[-77.023912,35.514802],[-77.026638,35.490569],[-76.967214,35.438296],[-76.891938,35.433649],[-76.664027,35.345696],[-76.500375,35.321915],[-76.482389,35.314046],[-76.467776,35.276951],[-76.467776,35.261213],[-76.477893,35.243228],[-76.490258,35.233111],[-76.494755,35.212877],[-76.521733,35.192643],[-76.536346,35.174657],[-76.539719,35.166788],[-76.536346,35.142058],[-76.546463,35.122948],[-76.557704,35.116204],[-76.568945,35.097094],[-76.60042,35.067867],[-76.631895,35.056626],[-76.801426,34.964369],[-76.982904,35.060607],[-76.989778,35.045484],[-76.977404,35.004926],[-76.89354,34.957495],[-76.762931,34.920374],[-76.635072,34.989116],[-76.588055,34.991428],[-76.566697,34.998173],[-76.502623,35.007166],[-76.491382,35.017283],[-76.490258,35.034144],[-76.474521,35.070116],[-76.463468,35.076411],[-76.435762,35.057941],[-76.425461,35.001464],[-76.395625,34.975179],[-76.332044,34.970917],[-76.326361,34.976245],[-76.329557,34.986901],[-76.364367,35.034853],[-76.318546,35.020645],[-76.288354,35.005726],[-76.296524,34.976245],[-76.275567,34.960971],[-76.277698,34.940014],[-76.347673,34.872171],[-76.368274,34.872881],[-76.379641,34.86258],[-76.400242,34.855476],[-76.463016,34.785076],[-76.524712,34.681964],[-76.586236,34.698805],[-76.582421,34.767757],[-76.604796,34.787482],[-76.620606,34.784389],[-76.616567,34.714059],[-76.673619,34.71491],[-76.673537,34.70757],[-76.523303,34.652271],[-76.383827,34.807906],[-76.322808,34.86116],[-76.233672,34.925926],[-76.093349,35.048705],[-76.069906,35.075701],[-76.043621,35.070017],[-76.035933,35.058987],[-76.137269,34.987858],[-76.233088,34.905477],[-76.31021,34.852309],[-76.386804,34.784579],[-76.494068,34.66197],[-76.524199,34.615416],[-76.535946,34.588577],[-76.555196,34.615993],[-76.549343,34.645585],[-76.579467,34.660174],[-76.642939,34.677618],[-76.676312,34.693151],[-76.770044,34.696899],[-76.817453,34.693722],[-76.990262,34.669623],[-77.136843,34.632926],[-77.209161,34.605032],[-77.322524,34.535574],[-77.462922,34.471354],[-77.556943,34.417218],[-77.661673,34.341868],[-77.740136,34.272546],[-77.829209,34.162618],[-77.878161,34.067963],[-77.915536,33.971723],[-77.946568,33.912261],[-77.960172,33.853315],[-77.970606,33.844517],[-78.009973,33.861406],[-78.018689,33.888289],[-78.095429,33.906031],[-78.17772,33.914272],[-78.276147,33.912364],[-78.383964,33.901946],[-78.509042,33.865515],[-78.541087,33.851112],[-79.358317,34.545358],[-79.675299,34.804744],[-80.797543,34.819786],[-80.782042,34.935782],[-80.93495,35.107409],[-81.041489,35.044703],[-81.057648,35.062433],[-81.058029,35.07319],[-81.052078,35.096276],[-81.032806,35.108049],[-81.038968,35.126299],[-81.05042,35.131048],[-81.044391,35.147918],[-81.239358,35.159974],[-82.27492,35.200071],[-82.314863,35.191089],[-82.32335,35.184789],[-82.344554,35.193115],[-82.361469,35.190831],[-82.36899,35.181747],[-82.379712,35.186884],[-82.378744,35.198053],[-82.390439,35.215395],[-82.403348,35.204473],[-82.417597,35.200131],[-82.439595,35.165863],[-82.448969,35.165037],[-82.455609,35.177425],[-82.460092,35.178143],[-82.483937,35.173798],[-82.495506,35.164312],[-82.516044,35.163442],[-82.529973,35.155617],[-82.550508,35.159498],[-82.556168,35.151736],[-82.563767,35.151575],[-82.578316,35.142104],[-82.609706,35.139039],[-82.629031,35.126155],[-82.642237,35.129215],[-82.662381,35.118123],[-82.683625,35.125833],[-82.694898,35.098456],[-82.72701,35.094142],[-82.738379,35.079453],[-82.749491,35.078487],[-82.757704,35.068019],[-82.777376,35.064143],[-82.781973,35.066817],[-82.776357,35.081349],[-82.787867,35.085024],[-83.108535,35.000771],[-83.620185,34.992091],[-83.619985,34.986592],[-84.321869,34.988408],[-84.29024,35.225572],[-84.28322,35.226577],[-84.223718,35.269078],[-84.211818,35.266078],[-84.202879,35.255772],[-84.200117,35.244679],[-84.188417,35.239979],[-84.170416,35.245779],[-84.12889,35.243679],[-84.12115,35.250644],[-84.097508,35.247382],[-84.081117,35.261146],[-84.052612,35.269982],[-84.02141,35.301383],[-84.02651,35.309283],[-84.03501,35.311983],[-84.029377,35.333197],[-84.038081,35.348363],[-84.024756,35.353896],[-84.007586,35.371661],[-84.008207,35.389683],[-84.021782,35.407418],[-84.00225,35.422548],[-83.992568,35.438065],[-83.973057,35.448921],[-83.971439,35.455145],[-83.966656,35.454941],[-83.961054,35.462838],[-83.949389,35.461164],[-83.937015,35.471511],[-83.911773,35.476028],[-83.905612,35.48906],[-83.880074,35.518745],[-83.859261,35.521851],[-83.848502,35.519259],[-83.827428,35.524653],[-83.802434,35.541588],[-83.780129,35.550387],[-83.771736,35.562118],[-83.749894,35.561146],[-83.735669,35.565455],[-83.723459,35.561874],[-83.707199,35.568533],[-83.676268,35.570289],[-83.640498,35.566075],[-83.608889,35.579451],[-83.582,35.562684],[-83.56609,35.565993],[-83.498335,35.562981],[-83.485527,35.568204],[-83.479317,35.582764],[-83.455722,35.598045],[-83.445802,35.611803],[-83.421576,35.611186],[-83.396626,35.62272],[-83.388602,35.632352],[-83.366941,35.638728],[-83.35156,35.659858],[-83.334965,35.665471],[-83.321101,35.662815],[-83.312757,35.654809],[-83.297154,35.65775],[-83.290682,35.672638],[-83.258117,35.691924],[-83.255489,35.714974],[-83.251247,35.719916],[-83.240669,35.72676],[-83.214501,35.724434],[-83.18837,35.729798],[-83.159208,35.764892],[-83.120183,35.766234],[-83.07403,35.790016],[-83.036209,35.787405],[-83.001473,35.773752],[-82.992053,35.773948],[-82.964088,35.78998],[-82.961724,35.800491],[-82.945515,35.824662],[-82.920171,35.841664],[-82.918312,35.863977],[-82.901301,35.872593],[-82.901843,35.890274],[-82.911936,35.921618],[-82.901577,35.931446],[-82.898506,35.9451],[-82.874159,35.952698],[-82.860724,35.94743],[-82.852554,35.949089],[-82.826045,35.929721],[-82.82257,35.922531],[-82.804997,35.927168],[-82.805771,35.935316],[-82.800431,35.944155],[-82.787465,35.952163],[-82.785356,35.96253],[-82.774905,35.971978],[-82.785558,35.977795],[-82.785267,35.987927],[-82.776001,36.000103],[-82.750065,36.006004],[-82.688865,36.038604],[-82.684765,36.045004],[-82.637165,36.065805],[-82.618664,36.056105],[-82.618164,36.047005],[-82.609663,36.044906],[-82.596177,36.03188],[-82.595525,36.026012],[-82.614362,36.003506],[-82.613028,35.994],[-82.604239,35.987319],[-82.610889,35.967409],[-82.581003,35.965557],[-82.576678,35.959255],[-82.557874,35.953901],[-82.549682,35.964275],[-82.507068,35.977475],[-82.483498,35.996284],[-82.460658,36.007809],[-82.409458,36.083409],[-82.355157,36.115609],[-82.336756,36.114909],[-82.321448,36.119551],[-82.289455,36.13571],[-82.270954,36.12761],[-82.260353,36.13371],[-82.247521,36.130865],[-82.213852,36.159112],[-82.182549,36.143714],[-82.147948,36.149516],[-82.136547,36.128817],[-82.137974,36.119576],[-82.127146,36.104417],[-82.105444,36.108119],[-82.080303,36.105728],[-82.061342,36.113121],[-82.054142,36.126821],[-82.033141,36.120422],[-81.908137,36.302013],[-81.879382,36.313767],[-81.857333,36.334787],[-81.841268,36.343321],[-81.800812,36.358073],[-81.766102,36.338517],[-81.730976,36.341187],[-81.707438,36.335171],[-81.707785,36.346007],[-81.721334,36.353101],[-81.732865,36.376502],[-81.729813,36.388033],[-81.737952,36.39719],[-81.739648,36.406686],[-81.720734,36.422537],[-81.715229,36.436532],[-81.71489,36.45722],[-81.695311,36.467912],[-81.697829,36.507544],[-81.707573,36.526101],[-81.707963,36.536209],[-81.699962,36.536829],[-81.69003,36.552154],[-81.690236,36.568718],[-81.677036,36.570718],[-81.677535,36.588117],[-81.003802,36.563629],[-80.837954,36.559131],[-80.704831,36.562319],[-80.295243,36.543973],[-80.122183,36.542646],[-78.529722,36.540981],[-77.16966,36.547315],[-77.152691,36.544078],[-76.916048,36.543815],[-76.916989,36.550742],[-76.12236,36.550621]]]]},\"properties\":{\"name\":\"North Carolina\",\"nation\":\"USA  \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b58b65e4b03bcb0104bc8f","contributors":{"authors":[{"text":"Carswell, William J. Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":495987,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70111715,"text":"ofr20141115 - 2014 - Timing of ore-related magmatism in the western Alaska Range, southwestern Alaska","interactions":[],"lastModifiedDate":"2014-07-23T12:57:09","indexId":"ofr20141115","displayToPublicDate":"2014-07-23T12:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1115","title":"Timing of ore-related magmatism in the western Alaska Range, southwestern Alaska","docAbstract":"This report presents isotopic age data from mineralized granitic plutons in an area of the Alaska Range located approximately 200 kilometers to the west-northwest of Anchorage in southwestern Alaska. Uranium-lead isotopic data and trace element concentrations of zircons were determined for 12 samples encompassing eight plutonic bodies ranging in age from approximately 76 to 57.4 millions of years ago (Ma). Additionally, a rhenium-osmium age of molybdenite from the Miss Molly molybdenum occurrence is reported (approx. 59 Ma). All of the granitic plutons in this study host gold-, copper-, and (or) molybdenum-rich prospects. These new ages modify previous interpretations regarding the age of magmatic activity and mineralization within the study area. The new ages show that the majority of the gold-quartz vein-hosting plutons examined in this study formed in the Late Cretaceous. Further work is necessary to establish the ages of ore-mineral deposition in these deposits.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141115","usgsCitation":"Taylor, R.D., Graham, G.E., Anderson, E.D., and Selby, D., 2014, Timing of ore-related magmatism in the western Alaska Range, southwestern Alaska: U.S. Geological Survey Open-File Report 2014-1115, Report: iv, 25 p.; Tables 1-4, https://doi.org/10.3133/ofr20141115.","productDescription":"Report: iv, 25 p.; Tables 1-4","numberOfPages":"29","onlineOnly":"Y","ipdsId":"IP-054073","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":290806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141115.jpg"},{"id":290803,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1115/"},{"id":290804,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1115/pdf/ofr2014-1115.pdf"},{"id":290805,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1115/downloads/ofr2014-1115_tables.xlsx"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska Range","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -154.0,61.5 ], [ -154.0,62.25 ], [ -152.0,62.25 ], [ -152.0,61.5 ], [ -154.0,61.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f0a8e4b0bc0bec09f8dd","contributors":{"authors":[{"text":"Taylor, Ryan D. 0000-0002-8845-5290 rtaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":3412,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan","email":"rtaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":494450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":494448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Eric D. 0000-0002-0138-6166 ericanderson@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-6166","contributorId":1733,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric","email":"ericanderson@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":494449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Selby, David","contributorId":58167,"corporation":false,"usgs":true,"family":"Selby","given":"David","affiliations":[],"preferred":false,"id":494451,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70056368,"text":"sir20135210 - 2014 - Mesohabitats, fish assemblage composition, and mesohabitat use of the Rio Grande silvery minnow over a range of seasonal flow regimes in the Rio Grande/Rio Bravo del Norte, in and near Big Bend National Park, Texas, 2010-11","interactions":[],"lastModifiedDate":"2016-08-05T12:24:47","indexId":"sir20135210","displayToPublicDate":"2014-07-23T12:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5210","title":"Mesohabitats, fish assemblage composition, and mesohabitat use of the Rio Grande silvery minnow over a range of seasonal flow regimes in the Rio Grande/Rio Bravo del Norte, in and near Big Bend National Park, Texas, 2010-11","docAbstract":"<p>In 2010&ndash;11, the U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service, evaluated the physical characteristics and fish assemblage composition of mapped river mesohabitats at four sites on the Rio Grande/Rio Bravo del Norte (hereinafter Rio Grande) in and near Big Bend National Park, Texas. The four sites used for the river habitat study were colocated with sites where the U.S. Fish and Wildlife Service has implemented an experimental reintroduction of the Rio Grande silvery minnow (Hybognathus amarus), a federally listed endangered species, into part of the historical range of this species. The four sites from upstream to downstream are USGS station 08374340 Rio Grande at Contrabando Canyon near Lajitas, Tex. (hereinafter the Contrabando site), USGS station 290956103363600 Rio Grande at Santa Elena Canyon, Big Bend National Park, Tex. (hereinafter the Santa Elena site), USGS station 291046102573900 Rio Grande near Ranger Station at Rio Grande Village, Tex. (hereinafter the Rio Grande Village site), and USGS station 292354102491100 Rio Grande above Stillwell Crossing near Big Bend National Park, Tex. (hereinafter the Stillwell Crossing site).</p>\n<p>In-channel river habitat was mapped at the mesohabitat scale over a range of seasonal streamflows. A late summer (August&ndash;September 2010) high-flow regime, an early spring (April&ndash;May 2010) intermediate flow regime, and a late spring (May 2011) low-flow regime were the seasonal flows used in the study. River habitat was mapped in the field by using a geographic information system and a Global Positioning System unit to characterize the sites at the mesohabitat scale. Physical characteristics of a subset of mesohabitats in a reach of the Rio Grande at each site were measured during each flow regime and included depth, velocity, type and size of the substrate, and percent embeddedness. Selected water-quality properties (dissolved oxygen, pH, specific conductance, and temperature) of a subset of mesohabitats were also measured. The fish assemblage composition at the four sites was determined during the three flow regimes, and fish were collected by seining in each mesohabitat where physical characteristic data were measured, except during some periods of high flow when electrofishing was done to supplement seining.</p>\n<p>The total number and number of types of mesohabitats were larger during low flows compared to intermediate flows, and larger during intermediate flows compared to high flows. Decreases in streamflow typically led to increases in channel complexity in terms of the number of different types and total number of mesohabitats present. The total wetted area increased and the number of mesohabitat types generally decreased as streamflow increased. At all four sites, the smallest depths and velocities were generally measured during low flow and the largest depths and velocities at high flow. Specific conductance was relatively consistent between the Contrabando and Santa Elena sites, the two most upstream sites. Specific conductance decreased appreciably between the Santa Elena site and the Rio Grande Village, and decreased slightly between the Rio Grande Village site and the Stillwell Crossing site. Specific-conductance values within and among mesohabitat types at a given site were relatively consistent. The pH values measured within and among mesohabitat types also were relatively consistent at all four sites. Median dissolved oxygen concentrations were relatively consistent between the Contrabando and Santa Elena sites (8.34 and 8.54 milligrams per liter [mg/L], respectively) but decreased along the stretch of river between the Santa Elena and Rio Grande Village sites to 7.31 mg/L, possibly because of small dissolved oxygen concentrations associated with contributions from springs between the Santa Elena and Rio Grande Village sites. Dissolved oxygen concentrations increased substantially between the Rio Grande Village and Stillwell Crossing sites to 10.06 mg/L. Mesohabitat water temperatures were generally highest in mesohabitats commonly associated with shallow water depths and low velocities (forewaters, backwaters, and embayments).</p>\n<p>Of the 21 species of fish collected during the three flow regimes, red shiner (<i>Cyprinella lutrensis</i>) was the most abundant species overall, accounting for about 35 percent of all fish collected. Another minnow, the endemic Tamaulipas shiner (<i>Notropis braytoni</i>), was second in overall abundance. A nonnative species, the common carp (<i>Cyprinus carpio</i>), was the third most abundant species overall. No statistically significant differences in fish-species richness were found among the different mesohabitat types. Median fish-species richness and maximum fish-species richness values were larger, and fish-species richness was more variable in runs, pools, forewaters, and backwaters during low flow compared to the fish-species richness values calculated for intermediate and high flows. Fish density in backwater mesohabitats was significantly different from fish densities in run mesohabitats, but fish densities were not significantly different among the other mesohabitat types.</p>\n<p>Of the 39 Rio Grande silvery minnow individuals collected at the four study sites, 21 (more than half) were collected at the Santa Elena site, 12 at the Contrabando site, and 3 each at the Rio Grande Village and Stillwell Crossing sites. Rio Grande silvery minnow fish-species densities followed the same order as abundance of this species at the sites; fish-species densities ranged from 0.95 fish per 100 square meters (m<sup>2</sup>) at the Santa Elena site to 0.11&ndash;0.47 fish per 100 m<sup>2</sup> at the other three sites. The Rio Grande silvery minnow was most common in pools and runs during low- and intermediate-flow regimes. This species was less commonly collected in backwaters, embayments, and rapids, and none were collected in forewaters or submerged channel bars. The Tamaulipas shiner has similar life-history characteristics compared to the Rio Grande silvery minnow, including similar feeding habits and habitat use. Tamaulipas shiner was most common in backwater, run, and riffle mesohabitats (in decreasing order) during low and intermediate flow and was less common in submerged channel bar, pool, forewater, rapid, and embayment mesohabitats (in decreasing order) during the same flows. The overall relative percent density (composite of all three flow regimes) of Rio Grande silvery minnow was largest in rapid and pool mesohabitats and for Tamaulipas shiner was largest in backwater mesohabitats.</p>\n<p>There were no statistically significant differences between the stream velocities associated with seine hauls of the Rio Grande silvery minnow and Tamaulipas shiner. Stream velocities associated with the seine hauls that included Rio Grande silvery minnow indicate that this species is predominantly found in low-velocity mesohabitats. Velocities associated with seine hauls that included the Tamaulipas shiner represented a much broader overall range of velocities than those associated with Rio Grande silvery minnow collections. No statistically significant differences were found between the depths for seine hauls that included Rio Grande silvery minnow or Tamaulipas shiner. The Rio Grande silvery minnow was more commonly collected in seine hauls from mesohabitats dominated by cobble substrates and less frequently collected in mesohabitats with substrates dominated by fine-sized silt and clay particles, gravels, and sands, in that order. In contrast, the Tamaulipas shiner was broadly distributed among mesohabitats characterized as having gravel, cobble, and silt and clay.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135210","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Moring, J., Braun, C.L., and Pearson, D., 2014, Mesohabitats, fish assemblage composition, and mesohabitat use of the Rio Grande silvery minnow over a range of seasonal flow regimes in the Rio Grande/Rio Bravo del Norte, in and near Big Bend National Park, Texas, 2010-11: U.S. Geological Survey Scientific Investigations Report 2013-5210, Report: x, 89 p.; Spatial Data, https://doi.org/10.3133/sir20135210.","productDescription":"Report: x, 89 p.; Spatial Data","numberOfPages":"103","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2010-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-048947","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":290799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135210.jpg"},{"id":290798,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2013/5210/downloads/"},{"id":290797,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5210/pdf/sir2013-5210.pdf"},{"id":290795,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5210/"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Texas","otherGeospatial":"Big Bend National Park, Rio Grande","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.75,28.50 ], [ -103.75,30.00 ], [ -101.25,30.00 ], [ -101.25,28.50 ], [ -103.75,28.50 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a5b8cbe4b0ebae89b78983","contributors":{"authors":[{"text":"Moring, J. Bruce","contributorId":53372,"corporation":false,"usgs":true,"family":"Moring","given":"J. Bruce","affiliations":[],"preferred":false,"id":486547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearson, Daniel K.","contributorId":52014,"corporation":false,"usgs":true,"family":"Pearson","given":"Daniel K.","affiliations":[],"preferred":false,"id":486546,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70117149,"text":"ofr20141154 - 2014 - Methow River Studies, Washington: abundance estimates from Beaver Creek and the Chewuch River screw trap, methodology testing in the Whitefish Island side channel, and survival and detection estimates from hatchery fish releases, 2013","interactions":[],"lastModifiedDate":"2014-07-24T08:18:46","indexId":"ofr20141154","displayToPublicDate":"2014-07-23T09:36:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1154","title":"Methow River Studies, Washington: abundance estimates from Beaver Creek and the Chewuch River screw trap, methodology testing in the Whitefish Island side channel, and survival and detection estimates from hatchery fish releases, 2013","docAbstract":"<p>Salmon and steelhead populations have been severely depleted in the Columbia River from factors such as the presence of tributary dams, unscreened irrigation diversions, and habitat degradation from logging, mining, grazing, and others (Raymond, 1988). The U.S. Geological Survey (USGS) has been funded by the Bureau of Reclamation (Reclamation) to provide evaluation of on-going Reclamation funded efforts to recover Endangered Species Act (ESA) listed anadromous salmonid populations in the Methow River watershed, a watershed of the Columbia River in the Upper Columbia River Basin, in north-central Washington State (fig. 1). This monitoring and evaluation program was funded to document Reclamation’s effort to partially fulfill the 2008 Federal Columbia River Power System Biological Opinion (BiOp) (National Oceanographic and Atmospheric Administration, Fisheries Division 2003). This Biological Opinion includes Reasonable and Prudent Alternatives (RPA) to protect listed salmon and steelhead across their life cycle. Species of concern in the Methow River include Upper Columbia River (UCR) spring Chinook salmon (<i>Oncorhynchus tshawytscha</i>), UCR summer steelhead (<i>O. mykiss</i>), and bull trout (<i>Salvelinus confluentus</i>), which are all listed as threatened or endangered under the ESA. The work done by the USGS since 2004 has encompassed three phases of work. The first phase started in 2004 and continued through 2012. This first phase involved the evaluation of stream colonization and fish production in Beaver Creek following the modification of several water diversions (2000–2006) that were acting as barriers to upstream fish movement. Products to date from this work include: Ruttenburg (2007), Connolly and others (2008), Martens and Connolly (2008), Connolly (2010), Connolly and others (2010), Martens and Connolly (2010), Benjamin and others (2012), Romine and others (2013a), Weigel and others (2013a, 2013b, 2013c), and Martens and others (2014). The second phase, initiated in 2008, focuses on the evaluation of the M2 reach (rkm 66– 80) of the mainstem Methow River prior to restoration actions planned by Reclamation and Yakama Nation. The M2 study was designed to help understand the inter-relationships between stream habitat and the life history of various fish species to explain potential success or limitations in response to restoration actions. To help document changes derived by restoration, two reference reaches (Upper Methow between rkm 85 and 90, and Chewuch River between rkm 4 and 11) were identified based on relative lack of disturbance, proximity to the restoration reach, and relative unconfined geomorphology. A control reach (Lower Methow between rkm 57 and 64, also referred to as “Silver Reach”) was 2 identified based on its similar disturbance as the reference reach, proximity to the restoration reach, and relatively unconfined geomorphology. Products to date include Barber and others (2011), Bellmore (2011), Tibbits and others (2012), Bellmore and others (2013), Benjamin and others (2013), Romine and others (2013b), Bellmore and other (2014), Martens and others (2014), and Martens and Connolly (2014). The third phase of work has been to help with the development and to provide data for modeling efforts.</p>\n<br/>\n<p>Most of the planned M2 reach restoration is focused on the creation or improvement of offchannel habitat, especially side channels. The pre-restoration portion of this study has been documented by Martens and Connolly (2014). Side channel restoration actions were initiated in 2012 (Whitefish Island side channel, also referred to as SC3; rkm 76) and are planned to continue over the next several years. The Whitefish Island side channel was modified to maintain hydrological connection with the mainstem throughout the year. In addition, several log structures were installed and pools were deepened to create fish habitat. Prior to restoration, this side channel would lose hydrological connection with the mainstem Methow River, leaving one large pool near the bottom of the side channel and several shallow isolated pools that may or may not go dry. In seasonally connected side channels, juvenile salmonid survival in pools less than 100 cm average depth was lower than in pools greater than 100 cm average depth (Martens and Connolly, 2014).</p>\n<br/>\n<p>In this report, we document our field work and analysis completed in 2013. During 2013, USGS sampling efforts were focused on resampling of three reaches in Beaver Creek, testing methodology in the Whitefish Island side channel, conducting hatchery survival estimates, and operating a screw trap on the Chewuch River (funded by Yakama Nation; fig. 1). The Beaver Creek sampling effort was a revisit of three index sites sampled continuously from 2004 to 2007 to look at the fish response to barrier removal. Methodology testing in Whitefish Island side channel was done to determine the best method for evaluating fish populations after restoration efforts in side channels (previous sampling methods were determined to be ineffective after pools were deepened). Hatchery survival estimates were completed to monitor fish survival in the Methow and Columbia Rivers, while the screw trap was operated to estimate migrating fish populations in the Chewuch River and track passive integrated transponder (PIT)-tagged fish. In addition, we maintained a network of PIT-tag interrogation systems (PTIS), assisted Reclamation with fish removal events associated with stream restoration (two people for 9 days; 14 percent of summer field season), and conducted a stream metabolism study designed to help parameterize and calibrate the stream productivity model (Bellmore and others, 2014) with model validation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141154","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Martens, K.D., Fish, T.M., Watson, G.A., and Connolly, P., 2014, Methow River Studies, Washington: abundance estimates from Beaver Creek and the Chewuch River screw trap, methodology testing in the Whitefish Island side channel, and survival and detection estimates from hatchery fish releases, 2013: U.S. Geological Survey Open-File Report 2014-1154, iv, 38 p., https://doi.org/10.3133/ofr20141154.","productDescription":"iv, 38 p.","numberOfPages":"47","onlineOnly":"Y","ipdsId":"IP-055654","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":290754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141154.JPG"},{"id":290844,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1154/pdf/ofr2014-1154.pdf"},{"id":290752,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1154/"}],"country":"United States","state":"Washington","otherGeospatial":"Upper Columbia River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.09,46.73 ], [ -124.09,49.0 ], [ -117.6,49.0 ], [ -117.6,46.73 ], [ -124.09,46.73 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f0a8e4b0bc0bec09f8e1","contributors":{"authors":[{"text":"Martens, Kyle D.","contributorId":12740,"corporation":false,"usgs":true,"family":"Martens","given":"Kyle","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":495959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fish, Teresa M. tfish@usgs.gov","contributorId":5869,"corporation":false,"usgs":true,"family":"Fish","given":"Teresa","email":"tfish@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":495958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watson, Grace A. gwatson@usgs.gov","contributorId":5435,"corporation":false,"usgs":true,"family":"Watson","given":"Grace","email":"gwatson@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":495957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":495956,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70114216,"text":"ofr20141118 - 2014 - Chirp seismic-reflection data from the Baltimore, Washington, and Norfolk Canyons, U.S. mid-Atlantic margin","interactions":[],"lastModifiedDate":"2017-11-18T11:59:32","indexId":"ofr20141118","displayToPublicDate":"2014-07-22T15:26:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1118","title":"Chirp seismic-reflection data from the Baltimore, Washington, and Norfolk Canyons, U.S. mid-Atlantic margin","docAbstract":"A large number of high-resolution geophysical surveys between Cape Hatteras and Georges Bank have been conducted by federal, state, and academic institutions since the turn of the century. A major goal of these surveys is providing a continuous view of bathymetry and shallow stratigraphy at the shelf edge in order to assess levels of geological activity during the current sea level highstand. In 2012, chirp seismic-reflection data was collected by the U.S. Geologial Survey aboard the motor vessel Tiki XIV near three United States mid-Atlantic margin submarine canyons. These data can be used to further our understanding of passive continental margin processes during the Holocene, as well as providing valuable information regarding potential submarine geohazards.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141118","collaboration":"Prepared in cooperation with the U.S. Nuclear Regulatory Commission and the Bureau of Ocean and Energy Management","usgsCitation":"Obelcz, J.B., Brothers, D., ten Brink, U., Chaytor, J., Worley, C.R., and Moore, E., 2014, Chirp seismic-reflection data from the Baltimore, Washington, and Norfolk Canyons, U.S. mid-Atlantic margin: U.S. Geological Survey Open-File Report 2014-1118, HTML Document, https://doi.org/10.3133/ofr20141118.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-045651","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":290733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141118.jpg"},{"id":290732,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1118/ofr2014-1118-title_page.html"},{"id":290731,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1118/"}],"country":"United States","otherGeospatial":"Mid-atlantic Margin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.2498,36.0002 ], [ -75.2498,38.985 ], [ -72.9987,38.985 ], [ -72.9987,36.0002 ], [ -75.2498,36.0002 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f0a8e4b0bc0bec09f8e3","contributors":{"authors":[{"text":"Obelcz, Jeffrey B.","contributorId":73505,"corporation":false,"usgs":true,"family":"Obelcz","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":495272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brothers, Daniel S.","contributorId":72686,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel S.","affiliations":[],"preferred":false,"id":495271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":495273,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaytor, Jason D.","contributorId":88637,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason D.","affiliations":[],"preferred":false,"id":495274,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Worley, Charles R. cworley@usgs.gov","contributorId":3063,"corporation":false,"usgs":true,"family":"Worley","given":"Charles","email":"cworley@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495270,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moore, Eric M.","contributorId":102803,"corporation":false,"usgs":true,"family":"Moore","given":"Eric M.","affiliations":[],"preferred":false,"id":495275,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70156196,"text":"70156196 - 2014 - Influences of water and sediment quality and hydrologic processes on mussels in the Clinch River","interactions":[],"lastModifiedDate":"2016-07-08T12:04:40","indexId":"70156196","displayToPublicDate":"2014-07-22T13:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Influences of water and sediment quality and hydrologic processes on mussels in the Clinch River","docAbstract":"<p class=\"p1\"><span class=\"s1\">Segments of the Clinch River in Virginia have experienced declining freshwater mussel populations during the past 40&nbsp;years, while other segments of the river continue to support some of the richest mussel communities in the country. The close proximity of these contrasting reaches provides a study area where differences in climate, hydrology, and historic mussel distribution are minimal. The USGS conducted a study between 2009 and 2011 to evaluate possible causes of the mussel declines. Evaluation of mussel habitat showed no differences in physical habitat quality, leaving water and sediment quality as possible causes for declines. Three years of continuous water-quality data showed higher turbidity and specific conductance in the reaches with low-quality mussel assemblages compared to reaches with high-quality mussel assemblages. Discrete water-quality samples showed higher major ions and metals concentrations in the low-quality reach. Base-flow samples contained high major ion and metal concentrations coincident to low-quality mussel populations. These results support a conceptual model of dilution and augmentation where increased concentrations of major ions and other dissolved constituents from mined tributaries result in reaches with declining mussel populations. Tributaries from unmined basins provide water with low concentrations of dissolved constituents, diluting reaches of the Clinch River where high-quality mussel populations occur.</span></p>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/jawr.12221","usgsCitation":"Johnson, G.C., Krstolic, J.L., and Ostby, B.J., 2014, Influences of water and sediment quality and hydrologic processes on mussels in the Clinch River: Journal of the American Water Resources Association, v. 50, no. 4, p. 878-897, https://doi.org/10.1111/jawr.12221.","productDescription":"20 p.","startPage":"878","endPage":"897","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034906","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":324917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee, Virginia","otherGeospatial":"Clinch River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.48583984375,\n              37.47485808497102\n            ],\n            [\n              -80.244140625,\n              37.21283151445594\n            ],\n            [\n              -80.48583984375,\n              36.949891786813296\n            ],\n            [\n              -81.05712890625,\n              36.73888412439431\n            ],\n            [\n              -81.71630859375,\n              36.58024660149866\n            ],\n            [\n              -82.81494140625,\n              36.03133177633189\n            ],\n            [\n              -83.56201171875,\n              35.746512259918504\n            ],\n            [\n              -84.19921875,\n              35.496456056584165\n            ],\n            [\n              -84.74853515625,\n              35.35321610123821\n            ],\n            [\n              -85.01220703125,\n              35.51434313431818\n            ],\n            [\n              -84.88037109375,\n              35.88905007936091\n            ],\n            [\n              -84.48486328124999,\n              36.20882309283712\n            ],\n            [\n              -84.26513671875,\n              36.421282443649496\n            ],\n            [\n              -83.8037109375,\n              36.54494944148322\n            ],\n            [\n              -83.232421875,\n              36.66841891894786\n            ],\n            [\n              -82.94677734375,\n              36.82687474287728\n            ],\n            [\n              -82.3974609375,\n              37.00255267215955\n            ],\n            [\n              -82.08984375,\n              37.07271048132943\n            ],\n            [\n              -81.62841796875,\n              37.19533058280065\n            ],\n            [\n              -81.298828125,\n              37.23032838760387\n            ],\n            [\n              -80.48583984375,\n              37.47485808497102\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"50","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-22","publicationStatus":"PW","scienceBaseUri":"5780cebae4b081161682236f","contributors":{"authors":[{"text":"Johnson, Gregory C. 0000-0003-3683-5010 gcjohnso@usgs.gov","orcid":"https://orcid.org/0000-0003-3683-5010","contributorId":1420,"corporation":false,"usgs":true,"family":"Johnson","given":"Gregory","email":"gcjohnso@usgs.gov","middleInitial":"C.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":568004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krstolic, Jennifer L. 0000-0003-2253-9886 jkrstoli@usgs.gov","orcid":"https://orcid.org/0000-0003-2253-9886","contributorId":3677,"corporation":false,"usgs":true,"family":"Krstolic","given":"Jennifer","email":"jkrstoli@usgs.gov","middleInitial":"L.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":568005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ostby, Brett J.K.","contributorId":146480,"corporation":false,"usgs":false,"family":"Ostby","given":"Brett","email":"","middleInitial":"J.K.","affiliations":[{"id":16709,"text":"VaTech","active":true,"usgs":false}],"preferred":false,"id":568006,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70117573,"text":"70117573 - 2014 - Hydrothermal monitoring in a quiescent volcanic arc: Cascade Range, northwestern United States","interactions":[],"lastModifiedDate":"2019-03-11T09:27:19","indexId":"70117573","displayToPublicDate":"2014-07-22T11:34:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1765,"text":"Geofluids","active":true,"publicationSubtype":{"id":10}},"title":"Hydrothermal monitoring in a quiescent volcanic arc: Cascade Range, northwestern United States","docAbstract":"Ongoing (1996–present) volcanic unrest near South Sister, Oregon, is accompanied by a striking set of hydrothermal anomalies, including elevated temperatures, elevated major ion concentrations, and <sup>3</sup>He/<sup>4</sup>He ratios as large as 8.6 R<sub>A</sub> in slightly thermal springs. These observations prompted the US Geological Survey to begin a systematic hydrothermal-monitoring effort encompassing 25 sites and 10 of the highest-risk volcanoes in the Cascade volcanic arc, from Mount Baker near the Canadian border to Lassen Peak in northern California. A concerted effort was made to develop hourly, multiyear records of temperature and/or hydrothermal solute flux, suitable for retrospective comparison with other continuous geophysical monitoring data. Targets included summit fumarole groups and springs/streams that show clear evidence of magmatic influence in the form of high <sup>3</sup>He/<sup>4</sup>He ratios and/or anomalous fluxes of magmatic CO<sub>2</sub> or heat. As of 2009–2012, summit fumarole temperatures in the Cascade Range were generally near or below the local pure water boiling point; the maximum observed superheat was <2.5°C at Mount Baker. Variability in ground temperature records from the summit fumarole sites is temperature-dependent, with the hottest sites tending to show less variability. Seasonal variability in the hydrothermal solute flux from magmatically influenced springs varied from essentially undetectable to a factor of 5–10. This range of observed behavior owes mainly to the local climate regime, with strongly snowmelt-influenced springs and streams exhibiting more variability. As of the end of the 2012 field season, there had been 87 occurrences of local seismic energy densities approximately ≥ 0.001 J/m<sup>3</sup> during periods of hourly record. Hydrothermal responses to these small seismic stimuli were generally undetectable or ambiguous. Evaluation of multiyear to multidecadal trends indicates that whereas the hydrothermal system at Mount St. Helens is still fast-evolving in response to the 1980–present eruptive cycle, there is no clear evidence of ongoing long-term trends in hydrothermal activity at other Cascade Range volcanoes that have been active or restless during the past century (Baker, South Sister, and Lassen). Experience gained during the Cascade Range hydrothermal-monitoring experiment informs ongoing efforts to capture entire unrest cycles at more active but generally less accessible volcanoes such as those in the Aleutian arc.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geofluids","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley-Blackwell Publishing Ltd.","publisherLocation":"Oxford, UK","doi":"10.1111/gfl.12079","usgsCitation":"Ingebritsen, S.E., Randolph-Flagg, N., Gelwick, K.D., Lundstrom, E.A., Crankshaw, I.M., Murveit, A.M., Schmidt, M., Bergfeld, D., Spicer, K.R., Tucker, D.S., Mariner, R.H., and Evans, W.C., 2014, Hydrothermal monitoring in a quiescent volcanic arc: Cascade Range, northwestern United States: Geofluids, v. 14, no. 3, p. 326-346, https://doi.org/10.1111/gfl.12079.","productDescription":"21 p.","startPage":"326","endPage":"346","numberOfPages":"21","ipdsId":"IP-050978","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":290701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California;Oregon;Washington","otherGeospatial":"Cascade Range","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.2881,39.9834 ], [ -125.2881,49.0127 ], [ -119.751,49.0127 ], [ -119.751,39.9834 ], [ -125.2881,39.9834 ] ] ] } } ] }","volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-20","publicationStatus":"PW","scienceBaseUri":"57f7f0a8e4b0bc0bec09f8e5","chorus":{"doi":"10.1111/gfl.12079","url":"http://dx.doi.org/10.1111/gfl.12079","publisher":"Wiley-Blackwell","authors":"Ingebritsen S. E., Randolph-Flagg N. G., Gelwick K. D., Lundstrom E. A., Crankshaw I. M., Murveit A. M., Schmidt M. E., Bergfeld D., Spicer K. R., Tucker D. S., Mariner R. H., Evans W. C.","journalName":"Geofluids","publicationDate":"3/20/2014","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Ingebritsen, Steven E. 0000-0001-6917-9369 seingebr@usgs.gov","orcid":"https://orcid.org/0000-0001-6917-9369","contributorId":818,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steven","email":"seingebr@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":496023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Randolph-Flagg, N. G.","contributorId":92586,"corporation":false,"usgs":true,"family":"Randolph-Flagg","given":"N. G.","affiliations":[],"preferred":false,"id":496032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gelwick, Katrina D. kgelwick@usgs.gov","contributorId":4966,"corporation":false,"usgs":true,"family":"Gelwick","given":"Katrina","email":"kgelwick@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":496030,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lundstrom, Elizabeth A.","contributorId":42519,"corporation":false,"usgs":true,"family":"Lundstrom","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":496026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crankshaw, Ilana M. icrankshaw@usgs.gov","contributorId":4967,"corporation":false,"usgs":true,"family":"Crankshaw","given":"Ilana","email":"icrankshaw@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":496033,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murveit, Anna M.","contributorId":98626,"corporation":false,"usgs":true,"family":"Murveit","given":"Anna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":496024,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmidt, M.E.","contributorId":53075,"corporation":false,"usgs":true,"family":"Schmidt","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":496027,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bergfeld, Deborah 0000-0003-4570-7627 dbergfel@usgs.gov","orcid":"https://orcid.org/0000-0003-4570-7627","contributorId":152531,"corporation":false,"usgs":true,"family":"Bergfeld","given":"Deborah","email":"dbergfel@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":496028,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Spicer, Kurt R. 0000-0001-5030-3198 krspicer@usgs.gov","orcid":"https://orcid.org/0000-0001-5030-3198","contributorId":2684,"corporation":false,"usgs":true,"family":"Spicer","given":"Kurt","email":"krspicer@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":496029,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tucker, David S.","contributorId":143676,"corporation":false,"usgs":false,"family":"Tucker","given":"David","email":"","middleInitial":"S.","affiliations":[{"id":15299,"text":"Geology Department, Western Washington University, Bellingham, WA  98225","active":true,"usgs":false}],"preferred":false,"id":496025,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mariner, Robert H. rmariner@usgs.gov","contributorId":3290,"corporation":false,"usgs":true,"family":"Mariner","given":"Robert","email":"rmariner@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":496031,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":496034,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70117566,"text":"sir20145117 - 2014 - A reconnaissance spatial and temporal assessment of methane and inorganic constituents in groundwater in bedrock aquifers, Pike County, Pennsylvania, 2012-13","interactions":[],"lastModifiedDate":"2016-08-24T12:19:10","indexId":"sir20145117","displayToPublicDate":"2014-07-22T08:40:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5117","title":"A reconnaissance spatial and temporal assessment of methane and inorganic constituents in groundwater in bedrock aquifers, Pike County, Pennsylvania, 2012-13","docAbstract":"<p>Pike County in northeastern Pennsylvania is underlain by the Devonian-age Marcellus Shale and other shales, formations that have potential for natural gas development. During 2012&ndash;13, the U.S. Geological Survey in cooperation with the Pike County Conservation District conducted a reconnaissance study to assess baseline shallow groundwater quality in bedrock aquifers prior to possible shale-gas development in the county. For the spatial component of the assessment, 20 wells were sampled in summer 2012 to provide data on the occurrence of methane and other aspects of existing groundwater quality throughout the county, including concentrations of inorganic constituents commonly present at low levels in shallow, fresh groundwater but elevated in brines. For the temporal component of the assessment, 4 of the 20 wells sampled in summer 2012 were sampled monthly from July&nbsp;2012 through June&nbsp;2013 to provide data on seasonal variability in groundwater quality. All water samples were analyzed for major ions, nutrients, selected inorganic trace constituents (including metals and other elements), stable isotopes of water, radon-222, gross alpha- and gross beta-particle activity, dissolved gases (methane, ethane, and ethene), and, if possible, isotopic composition of methane. Additional analyses for boron and strontium isotopes, age-dating of water, and radium-226 were done on water samples collected from six wells in June&nbsp;2013.</p>\n<p>Results of the summer 2012 sampling show that water from 16 (80&nbsp;percent) of 20&nbsp;wells had detectable concentrations of methane, but concentrations were less than 0.1&nbsp;milligram per liter (mg/L) in most well-water samples; only two well-water samples had concentrations greater than 1&nbsp;mg/L. The groundwater with elevated methane also had a chemical composition that differed in some respects (pH, selected major ions, and inorganic trace constituents) from groundwater with low methane concentrations. The two well-water samples with the highest methane concentrations (about 3.7 and 5.8&nbsp;mg/L) also had the highest pH values (8.7 and 8.3, respectively) and the highest concentrations of sodium, lithium, boron, fluoride, and bromide. Elevated concentrations of some other constituents, such as barium, strontium, and chloride, were not limited to well-water samples with elevated methane, although the two samples with elevated methane also had among the highest concentrations of these&nbsp;constituents.</p>\n<p>One sample with elevated methane concentrations also had elevated arsenic concentrations, with the arsenic concentration of 30 micrograms per liter (&mu;g/L) exceeding the drinking-water standard of 10 &micro;g/L for arsenic. No other sample from the 20 wells sampled in summer 2012 had concentrations of constituents that exceeded any established primary drinking-water standards. However, radon-222 activities ranging up to 4,500 picocuries per liter (pCi/L) exceeded the proposed drinking-water standard of 300&nbsp;pCi/L in 85&nbsp;percent of the 20 well-water&nbsp;samples.</p>\n<p>The isotopic composition methane in the two high-methane samples (&delta;C<sub>CH4</sub>&nbsp;values of -64.55 and -64.41&nbsp;per&nbsp;mil and &delta;D<sub>CH4</sub>&nbsp;values of -216.9 and -201.8&nbsp;per mil, respectively) indicates a predominantly microbial source for the methane formed by a carbon dioxide reduction process. The stable isotopic composition of water (&delta;D<sub>H20</sub>&nbsp;and &delta;<sup>18</sup>O<sub>H20</sub>) in samples from all 20 wells falls on the local meteoric line, indicating water in the wells was of relatively recent meteoric origin (modern precipitation), including samples with elevated methane&nbsp;concentrations.</p>\n<p>Analytical results for 4 of the 20&nbsp;wells sampled monthly for 1 year ending June&nbsp;2013 in order to assess temporal variability in groundwater quality show that concentrations of major ions generally varied by less than 20 percent, with most differences less than 4&nbsp;mg/L. Concentrations of methane varied by less than 1&nbsp;&mu;g/L (0.001&nbsp;mg/L) in samples from three wells with low methane and by as much as 1 mg/L (1,000&nbsp;&mu;g/L) in samples from one well with relatively high methane. The isotopic composition of methane in the one well with relatively high methane varied slightly in the monthly samples, ranging from about -64.5 to -64.8&nbsp;per&nbsp;mil for &delta;<sup>13</sup>C<sub>CH4</sub>&nbsp;and from about -217 to -228&nbsp;per&nbsp;mil for &delta;D<sub>CH4</sub>. The &delta;<sup>13</sup>C values for dissolved inorganic carbon (DIC) in water from this well were consistent with microbial methane formation by carbon dioxide reduction (drift-type methane) and varied little in the temporal samples, ranging from -10.5 to -10.1&nbsp;per&nbsp;mil.</p>\n<p>Additional analyses of samples collected in late June 2013 from six wells with a range of methane and trace constituent concentrations provided baseline data on strontium and boron isotopic compositions (<sup>87</sup>Sr/<sup>86</sup>Sr ratios and &delta;<sup>11</sup>B, respectively) that potentially may be used to differentiate among sources of these constituents. The strontium and boron isotopic composition determined in the six shallow Pike County groundwater samples had&nbsp;<sup>87</sup>Sr/<sup>86</sup>Sr ratios of 0.71426 to 0.71531 and &delta;<sup>11</sup>B values of 11.7 to 27.0&nbsp;per mil, which differ from those reported for brines in Devonian-age formations in&nbsp;Pennsylvania.</p>\n<p>The&nbsp;June&nbsp;2013 samples were also analyzed for radium-226 and age-dating dissolved gases. Activities of radium-226 ranged from 0.041 to 0.29&nbsp;pCi/L in water samples from the six wells and were less than the drinking-water standard of 5&nbsp;pCi/L for combined radium-226 and radium-228. Age-dating of groundwater using a method based on the presence of anthropogenic gases (chlorofluorocarbons and sulfur hexafluoride) released into the atmosphere yielded estimated recharge dates for water from these six wells that ranged from the 1940s to early 2000s. The oldest water was in samples from wells that had the highest methane concentrations and the youngest water was in samples from a continuously pumped 300-foot deep production&nbsp;well.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145117","collaboration":"Prepared in cooperation with the Pike County Conservation District","usgsCitation":"Senior, L.A., 2014, A reconnaissance spatial and temporal assessment of methane and inorganic constituents in groundwater in bedrock aquifers, Pike County, Pennsylvania, 2012-13: U.S. Geological Survey Scientific Investigations Report 2014-5117, x, 91 p., https://doi.org/10.3133/sir20145117.","productDescription":"x, 91 p.","numberOfPages":"106","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-054516","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":290640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145117.jpg"},{"id":290637,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5117/support/sir2014-5117.pdf","text":"Report","size":"5.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":290636,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5117/"}],"scale":"2000000","projection":"Albers Equal-Area Conic Projection","country":"United States","state":"Pennsylvania","county":"Pike County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-74.7506,41.4274],[-74.7487,41.4287],[-74.7461,41.4303],[-74.7438,41.4305],[-74.7408,41.4298],[-74.7389,41.4286],[-74.7376,41.4261],[-74.7384,41.4229],[-74.7391,41.4197],[-74.7405,41.4166],[-74.7412,41.4145],[-74.7415,41.4123],[-74.7419,41.4103],[-74.7421,41.4094],[-74.7409,41.4066],[-74.7392,41.4025],[-74.7376,41.4003],[-74.7349,41.3987],[-74.732,41.3973],[-74.7278,41.3963],[-74.7247,41.3958],[-74.7205,41.3947],[-74.7175,41.3929],[-74.7154,41.3917],[-74.7137,41.389],[-74.7126,41.3866],[-74.7105,41.3842],[-74.7064,41.3803],[-74.7011,41.3753],[-74.6985,41.373],[-74.6962,41.3713],[-74.6938,41.3688],[-74.6934,41.3683],[-74.6912,41.3662],[-74.69,41.3639],[-74.6901,41.3621],[-74.6913,41.3598],[-74.6955,41.3576],[-74.7019,41.3549],[-74.7052,41.3536],[-74.7062,41.3532],[-74.7113,41.3519],[-74.7161,41.3502],[-74.7211,41.3485],[-74.7247,41.3473],[-74.7278,41.3469],[-74.7322,41.3469],[-74.7364,41.3475],[-74.7396,41.3473],[-74.742,41.3471],[-74.7461,41.3464],[-74.7506,41.3455],[-74.7537,41.3442],[-74.7571,41.3422],[-74.7581,41.3411],[-74.7602,41.3391],[-74.7619,41.3362],[-74.7633,41.3331],[-74.7651,41.33],[-74.767,41.3283],[-74.7697,41.3269],[-74.773,41.3259],[-74.7754,41.3253],[-74.7764,41.325],[-74.7802,41.3243],[-74.7846,41.3244],[-74.787,41.324],[-74.79,41.3237],[-74.7925,41.3228],[-74.7937,41.3219],[-74.7949,41.3207],[-74.795,41.3186],[-74.7944,41.3172],[-74.7931,41.3159],[-74.7925,41.3145],[-74.7925,41.3127],[-74.7932,41.3117],[-74.7937,41.3109],[-74.7945,41.3103],[-74.796,41.3088],[-74.8017,41.3063],[-74.8077,41.3027],[-74.8126,41.2999],[-74.8163,41.2976],[-74.8193,41.2958],[-74.8218,41.2946],[-74.8223,41.2943],[-74.8254,41.2922],[-74.828,41.29],[-74.8299,41.2877],[-74.8319,41.2851],[-74.8338,41.2823],[-74.8358,41.2799],[-74.8376,41.2779],[-74.8389,41.2752],[-74.8392,41.2729],[-74.8402,41.2709],[-74.8418,41.269],[-74.843,41.2658],[-74.8436,41.2631],[-74.8442,41.2604],[-74.8442,41.2594],[-74.8461,41.2559],[-74.8497,41.2531],[-74.852,41.2523],[-74.8551,41.2506],[-74.8571,41.2483],[-74.8594,41.2459],[-74.86,41.244],[-74.8612,41.2417],[-74.8618,41.239],[-74.8629,41.237],[-74.8661,41.2335],[-74.8662,41.2322],[-74.8657,41.2294],[-74.8636,41.2272],[-74.8612,41.2249],[-74.8605,41.224],[-74.8599,41.2233],[-74.8593,41.2216],[-74.8598,41.2193],[-74.8613,41.2162],[-74.8621,41.2149],[-74.8629,41.214],[-74.8648,41.2118],[-74.8672,41.2086],[-74.8688,41.2062],[-74.8714,41.2022],[-74.8744,41.1977],[-74.8775,41.1931],[-74.8788,41.1904],[-74.8799,41.1881],[-74.8805,41.1861],[-74.8814,41.1844],[-74.8829,41.1819],[-74.8834,41.1812],[-74.8853,41.179],[-74.8884,41.1758],[-74.8916,41.1741],[-74.8935,41.1729],[-74.8957,41.1713],[-74.8972,41.1697],[-74.8985,41.1675],[-74.8999,41.1658],[-74.9017,41.1626],[-74.905,41.1568],[-74.9084,41.1526],[-74.9108,41.15],[-74.915,41.1458],[-74.9196,41.1416],[-74.9242,41.139],[-74.9302,41.1353],[-74.9346,41.1333],[-74.9381,41.1317],[-74.9406,41.1312],[-74.943,41.1303],[-74.9442,41.1294],[-74.9465,41.1277],[-74.9471,41.1258],[-74.9485,41.1244],[-74.9495,41.1231],[-74.9521,41.1216],[-74.9556,41.1197],[-74.9564,41.1192],[-74.9594,41.118],[-74.9624,41.1157],[-74.9652,41.1144],[-74.9667,41.114],[-74.9697,41.1138],[-74.9716,41.1136],[-74.9728,41.1136],[-74.9758,41.112],[-74.9771,41.1114],[-74.9775,41.111],[-74.9807,41.1084],[-74.9837,41.1056],[-74.9867,41.1002],[-74.9886,41.097],[-74.989,41.0962],[-74.9909,41.0935],[-74.9915,41.0926],[-74.9921,41.0931],[-74.9927,41.0931],[-74.9933,41.0936],[-74.9939,41.094],[-74.9952,41.0936],[-74.9958,41.0936],[-74.9964,41.0927],[-74.9983,41.0914],[-74.9995,41.091],[-75.0025,41.0924],[-75.0105,41.0898],[-75.0137,41.0858],[-75.0192,41.0864],[-75.0223,41.0851],[-75.0242,41.0824],[-75.0267,41.082],[-75.0302,41.0848],[-75.032,41.0871],[-75.0338,41.0889],[-75.0343,41.0894],[-75.0356,41.0899],[-75.0373,41.0908],[-75.0449,41.1005],[-75.0467,41.1032],[-75.0618,41.123],[-75.0653,41.1276],[-75.0712,41.1346],[-75.0764,41.1419],[-75.0934,41.1445],[-75.1147,41.1467],[-75.1251,41.1478],[-75.136,41.1489],[-75.1561,41.1516],[-75.1539,41.162],[-75.1518,41.1683],[-75.1463,41.1873],[-75.1442,41.1949],[-75.1429,41.1999],[-75.1373,41.2193],[-75.129,41.2478],[-75.1283,41.25],[-75.1276,41.2536],[-75.187,41.2506],[-75.2011,41.25],[-75.2335,41.2478],[-75.2476,41.2467],[-75.2654,41.2452],[-75.2918,41.242],[-75.2949,41.2412],[-75.2998,41.2408],[-75.3077,41.24],[-75.3273,41.2377],[-75.3285,41.2413],[-75.3301,41.2463],[-75.3319,41.2491],[-75.3366,41.2533],[-75.3414,41.2561],[-75.3426,41.257],[-75.3469,41.2589],[-75.3474,41.2598],[-75.3468,41.2611],[-75.3448,41.2652],[-75.3436,41.2665],[-75.3417,41.2669],[-75.3337,41.2695],[-75.3324,41.2704],[-75.3323,41.275],[-75.3322,41.2786],[-75.3309,41.2795],[-75.3297,41.2804],[-75.3296,41.2831],[-75.3296,41.284],[-75.3302,41.2849],[-75.3295,41.2863],[-75.3264,41.2876],[-75.3251,41.2889],[-75.3251,41.2898],[-75.3257,41.2912],[-75.3268,41.2935],[-75.328,41.2953],[-75.328,41.2971],[-75.3273,41.298],[-75.3261,41.2985],[-75.3248,41.2989],[-75.3236,41.2993],[-75.3224,41.2998],[-75.3217,41.3007],[-75.3211,41.3016],[-75.3198,41.3038],[-75.3185,41.3051],[-75.3173,41.3065],[-75.3166,41.3074],[-75.3141,41.311],[-75.3134,41.3132],[-75.3164,41.3165],[-75.3163,41.3174],[-75.3163,41.3187],[-75.3162,41.3196],[-75.3156,41.3201],[-75.3132,41.3209],[-75.3125,41.3209],[-75.3119,41.3218],[-75.3125,41.3223],[-75.3124,41.3241],[-75.3118,41.325],[-75.3105,41.3268],[-75.3105,41.3282],[-75.3117,41.3291],[-75.3188,41.3369],[-75.3194,41.3374],[-75.3206,41.3379],[-75.3261,41.3384],[-75.331,41.3362],[-75.3323,41.3362],[-75.3341,41.3363],[-75.3359,41.3363],[-75.3378,41.3363],[-75.3432,41.3382],[-75.3431,41.3405],[-75.3388,41.3436],[-75.3369,41.3449],[-75.3374,41.3477],[-75.3386,41.3495],[-75.3385,41.3504],[-75.3391,41.3509],[-75.3416,41.3518],[-75.3421,41.3532],[-75.3427,41.355],[-75.3469,41.3578],[-75.3475,41.3587],[-75.3475,41.3596],[-75.3497,41.366],[-75.3509,41.3679],[-75.3483,41.371],[-75.3465,41.371],[-75.3453,41.371],[-75.3447,41.3709],[-75.344,41.3714],[-75.3428,41.3732],[-75.3415,41.3741],[-75.3409,41.3745],[-75.3396,41.3759],[-75.3384,41.3763],[-75.3372,41.3763],[-75.3365,41.3763],[-75.3353,41.3758],[-75.3347,41.3744],[-75.3342,41.3735],[-75.3336,41.3726],[-75.333,41.3721],[-75.3318,41.3712],[-75.3282,41.3689],[-75.3209,41.3678],[-75.3203,41.3678],[-75.3172,41.3682],[-75.3129,41.37],[-75.3116,41.3713],[-75.311,41.3722],[-75.3103,41.3735],[-75.3109,41.374],[-75.3121,41.3754],[-75.3114,41.3772],[-75.3077,41.3776],[-75.3048,41.3735],[-75.3036,41.3725],[-75.3018,41.3711],[-75.3012,41.3707],[-75.3,41.3702],[-75.2969,41.3701],[-75.2926,41.3705],[-75.2914,41.3709],[-75.2895,41.3718],[-75.2877,41.3722],[-75.2859,41.3722],[-75.2828,41.3726],[-75.2699,41.3738],[-75.2674,41.3737],[-75.2656,41.3741],[-75.2643,41.3755],[-75.2636,41.38],[-75.2635,41.3814],[-75.2635,41.3827],[-75.2622,41.3841],[-75.2603,41.3854],[-75.2579,41.3863],[-75.2554,41.3871],[-75.2541,41.388],[-75.2528,41.3903],[-75.2528,41.3916],[-75.2528,41.3925],[-75.2531,41.3998],[-75.2525,41.4011],[-75.2506,41.4029],[-75.2511,41.4075],[-75.2527,41.4139],[-75.2489,41.4161],[-75.2471,41.4169],[-75.2464,41.4183],[-75.2457,41.4219],[-75.2445,41.4214],[-75.2433,41.4214],[-75.2341,41.4208],[-75.2335,41.4208],[-75.2334,41.4217],[-75.2346,41.4226],[-75.2321,41.4253],[-75.2284,41.4261],[-75.2205,41.4251],[-75.2149,41.4268],[-75.2111,41.4299],[-75.2043,41.4321],[-75.2037,41.4325],[-75.1999,41.4352],[-75.1992,41.437],[-75.1986,41.4379],[-75.1979,41.4397],[-75.1912,41.44],[-75.1905,41.4423],[-75.1862,41.444],[-75.1861,41.4454],[-75.1867,41.4463],[-75.189,41.4491],[-75.189,41.45],[-75.189,41.4509],[-75.187,41.4545],[-75.1882,41.4558],[-75.1882,41.4572],[-75.1881,41.4581],[-75.1856,41.4599],[-75.1844,41.4603],[-75.1813,41.4616],[-75.1743,41.4688],[-75.1737,41.4697],[-75.1692,41.4755],[-75.1679,41.4768],[-75.1666,41.4781],[-75.1654,41.4799],[-75.1628,41.4835],[-75.1557,41.4925],[-75.1494,41.5001],[-75.1224,41.5341],[-75.0974,41.5663],[-75.0723,41.599],[-75.0699,41.602],[-75.068,41.5999],[-75.0645,41.5961],[-75.0613,41.5935],[-75.0582,41.5922],[-75.055,41.5906],[-75.0525,41.5877],[-75.0504,41.5857],[-75.0472,41.5821],[-75.0461,41.5805],[-75.043,41.5749],[-75.0408,41.571],[-75.0389,41.5699],[-75.0359,41.5671],[-75.0326,41.5657],[-75.0294,41.5636],[-75.0247,41.5598],[-75.0216,41.5563],[-75.0192,41.553],[-75.0176,41.5498],[-75.0168,41.5471],[-75.0174,41.5448],[-75.0189,41.5433],[-75.0198,41.5429],[-75.0215,41.5417],[-75.023,41.5403],[-75.0228,41.5377],[-75.0218,41.5353],[-75.02,41.5335],[-75.0176,41.5321],[-75.0133,41.5307],[-75.008,41.5278],[-75.0056,41.5255],[-75.0035,41.5229],[-75.0022,41.5202],[-75.0016,41.5182],[-75.0017,41.5157],[-75.0023,41.5146],[-75.0029,41.5125],[-75.0042,41.5105],[-75.003,41.5092],[-75.0025,41.5086],[-74.9994,41.5082],[-74.9963,41.5085],[-74.9926,41.5094],[-74.9889,41.5093],[-74.9866,41.5074],[-74.9844,41.5055],[-74.984,41.5029],[-74.984,41.5016],[-74.9838,41.5007],[-74.9846,41.497],[-74.9859,41.4911],[-74.9865,41.4866],[-74.9859,41.483],[-74.9835,41.4808],[-74.9799,41.4788],[-74.9741,41.4779],[-74.9658,41.4765],[-74.9591,41.477],[-74.9541,41.4783],[-74.9501,41.4799],[-74.9467,41.4822],[-74.942,41.4837],[-74.9383,41.4842],[-74.9351,41.4835],[-74.9346,41.4834],[-74.9311,41.4818],[-74.9277,41.4796],[-74.9235,41.4777],[-74.9204,41.4763],[-74.9178,41.4752],[-74.9149,41.474],[-74.9132,41.4717],[-74.9119,41.469],[-74.9114,41.4664],[-74.9085,41.4628],[-74.9057,41.4606],[-74.9048,41.46],[-74.9013,41.459],[-74.8986,41.458],[-74.8976,41.4574],[-74.8966,41.4567],[-74.8946,41.4552],[-74.8931,41.4532],[-74.8931,41.4508],[-74.8949,41.4481],[-74.8974,41.4463],[-74.8979,41.444],[-74.8976,41.4417],[-74.8958,41.4399],[-74.8932,41.4391],[-74.8866,41.4391],[-74.8805,41.4408],[-74.8748,41.4425],[-74.8705,41.4443],[-74.8668,41.4452],[-74.8659,41.4451],[-74.8631,41.4447],[-74.8577,41.444],[-74.8516,41.4416],[-74.8473,41.4395],[-74.8468,41.4392],[-74.8431,41.437],[-74.8404,41.4352],[-74.8366,41.4341],[-74.8348,41.4336],[-74.8316,41.4338],[-74.8305,41.4342],[-74.8283,41.435],[-74.8258,41.4364],[-74.8229,41.4379],[-74.8211,41.4392],[-74.8178,41.4413],[-74.8141,41.4427],[-74.8104,41.4426],[-74.808,41.4417],[-74.8062,41.4394],[-74.805,41.4367],[-74.8032,41.434],[-74.8016,41.4314],[-74.8001,41.429],[-74.7977,41.4251],[-74.7953,41.4235],[-74.7929,41.4231],[-74.7886,41.423],[-74.7849,41.4244],[-74.7812,41.4257],[-74.7774,41.4264],[-74.7769,41.4265],[-74.7726,41.427],[-74.7677,41.4259],[-74.7671,41.4258],[-74.7628,41.4247],[-74.7579,41.4247],[-74.7561,41.4246],[-74.7536,41.4255],[-74.7506,41.4274]]]},\"properties\":{\"name\":\"Pike\",\"state\":\"PA\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c6ae56e4b0f2f0cebe3c9d","contributors":{"authors":[{"text":"Senior, Lisa A. 0000-0003-2629-1996 lasenior@usgs.gov","orcid":"https://orcid.org/0000-0003-2629-1996","contributorId":2150,"corporation":false,"usgs":true,"family":"Senior","given":"Lisa","email":"lasenior@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":496020,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70115551,"text":"fs20133042 - 2014 - Arkansas Groundwater-Quality Network","interactions":[],"lastModifiedDate":"2022-06-06T15:26:25.496357","indexId":"fs20133042","displayToPublicDate":"2014-07-21T14:51:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3042","title":"Arkansas Groundwater-Quality Network","docAbstract":"Arkansas is the fourth largest user of groundwater in the United States, where groundwater accounts for two-thirds of the total water use. Groundwater use in the State increased by 510 percent between 1965 and 2005 (Holland, 2007). The Arkansas Groundwater-Quality Network is a Web map interface (<a href=\"http://ar.water.usgs.gov/wqx\" target=\"_blank\">http://ar.water.usgs.gov/wqx</a>) that provides rapid access to the U.S. Geological Survey’s (USGS) National Water Information System (NWIS) and the U.S. Environmental Protection Agency’s (USEPA) STOrage and RETrieval (STORET) databases of ambient water information. The interface enables users to perform simple graphical analysis and download selected water-quality data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133042","usgsCitation":"Pugh, A., Jackson, B.T., and Miller, R., 2014, Arkansas Groundwater-Quality Network: U.S. Geological Survey Fact Sheet 2013-3042, 2 p., https://doi.org/10.3133/fs20133042.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-046329","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":290611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133042.jpg"},{"id":290605,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3042/"},{"id":290610,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3042/pdf/fs2013-3042.pdf"}],"country":"United States","state":"Arkansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.62,33.0 ], [ -94.62,36.5 ], [ -89.65,36.5 ], [ -89.65,33.0 ], [ -94.62,33.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f0a8e4b0bc0bec09f8e7","contributors":{"authors":[{"text":"Pugh, Aaron L. apugh@usgs.gov","contributorId":2480,"corporation":false,"usgs":true,"family":"Pugh","given":"Aaron L.","email":"apugh@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, Barry T. 0000-0001-9843-4162 btjackson@usgs.gov","orcid":"https://orcid.org/0000-0001-9843-4162","contributorId":154,"corporation":false,"usgs":true,"family":"Jackson","given":"Barry","email":"btjackson@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":495632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Roger","contributorId":63730,"corporation":false,"usgs":true,"family":"Miller","given":"Roger","affiliations":[],"preferred":false,"id":495634,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70100432,"text":"sir20145046 - 2014 - Flood-inundation maps for the Susquehanna River near Harrisburg, Pennsylvania, 2013","interactions":[],"lastModifiedDate":"2014-07-21T14:49:17","indexId":"sir20145046","displayToPublicDate":"2014-07-21T14:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5046","title":"Flood-inundation maps for the Susquehanna River near Harrisburg, Pennsylvania, 2013","docAbstract":"<p>A series of 28 digital flood-inundation maps was developed for an approximate 25-mile reach of the Susquehanna River in the vicinity of Harrisburg, Pennsylvania. The study was selected by the U.S. Army Corps of Engineers (USACE) national Silver Jackets program, which supports interagency teams at the state level to coordinate and collaborate on flood-risk management. This study to produce flood-inundation maps was the result of a collaborative effort between the USACE, National Weather Service (NWS), Susquehanna River Basin Commission (SRBC), The Harrisburg Authority, and the U.S. Geological Survey (USGS). These maps are accessible through Web-mapping applications associated with the NWS, SRBC, and USGS. The maps can be used in conjunction with the real-time stage data from the USGS streamgage 01570500, Susquehanna River at Harrisburg, Pa., and NWS flood-stage forecasts to help guide the general public in taking individual safety precautions and will provide local municipal officials with a tool to efficiently manage emergency flood operations and flood mitigation efforts.</p>\n<br/>\n<p>The maps were developed using the USACE HEC–RAS and HEC–GeoRAS programs to compute water-surface profiles and to delineate estimated flood-inundation areas for selected stream stages. The maps show estimated flood-inundation areas overlaid on high-resolution, georeferenced, aerial photographs of the study area for stream stages at 1-foot intervals between 11 feet and 37 feet (which include NWS flood categories Action, Flood, Moderate, and Major) and the June 24, 1972, peak-of-record flood event at a stage of 33.27 feet at the Susquehanna River at Harrisburg, Pa., streamgage.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145046","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, National Oceanic and Atmospheric Administration National Weather Service, Susquehanna River Basin Commission, and The Harrisburg Authority","usgsCitation":"Roland, M.A., Underwood, S.M., Thomas, C.M., Miller, J.F., Pratt, B.A., Hogan, L.G., and Wnek, P.A., 2014, Flood-inundation maps for the Susquehanna River near Harrisburg, Pennsylvania, 2013: U.S. Geological Survey Scientific Investigations Report 2014-5046, vi, 17 p., https://doi.org/10.3133/sir20145046.","productDescription":"vi, 17 p.","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-049553","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":290608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145046.jpg"},{"id":290604,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5046/"},{"id":290607,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5046/pdf/sir2014-5046.pdf"}],"country":"United States","state":"Pennsylvania","city":"Harrisburg","otherGeospatial":"Susquehanna River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.099991,40.049694 ], [ -77.099991,40.500225 ], [ -76.673927,40.500225 ], [ -76.673927,40.049694 ], [ -77.099991,40.049694 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f0a8e4b0bc0bec09f8e9","contributors":{"authors":[{"text":"Roland, Mark A. 0000-0002-0268-6507 mroland@usgs.gov","orcid":"https://orcid.org/0000-0002-0268-6507","contributorId":2116,"corporation":false,"usgs":true,"family":"Roland","given":"Mark","email":"mroland@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Underwood, Stacey M.","contributorId":21467,"corporation":false,"usgs":true,"family":"Underwood","given":"Stacey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":492213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Craig M.","contributorId":70292,"corporation":false,"usgs":true,"family":"Thomas","given":"Craig","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":492215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Jason F.","contributorId":98643,"corporation":false,"usgs":true,"family":"Miller","given":"Jason","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":492217,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pratt, Benjamin A.","contributorId":89807,"corporation":false,"usgs":true,"family":"Pratt","given":"Benjamin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":492216,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hogan, Laurie G.","contributorId":8001,"corporation":false,"usgs":true,"family":"Hogan","given":"Laurie","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":492212,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wnek, Patricia A.","contributorId":68227,"corporation":false,"usgs":true,"family":"Wnek","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":492214,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70114031,"text":"sir20145116 - 2014 - Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, April-May, 2013","interactions":[],"lastModifiedDate":"2023-12-05T00:00:16.936765","indexId":"sir20145116","displayToPublicDate":"2014-07-21T13:57:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5116","title":"Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, April-May, 2013","docAbstract":"<p>Bathymetric and velocimetric data were collected by the U.S. Geological Survey, in cooperation with the Missouri Department of Transportation, in the vicinity of 10 bridges at 9 highway crossings of the Missouri River between Lexington and Washington, Missouri, from April 22 through May 2, 2013. A multibeam echosounder mapping system was used to obtain channel-bed elevations for river reaches ranging from 1,640 to 1,840 feet longitudinally and extending laterally across the active channel between banks and spur dikes in the Missouri River during low- to moderate-flow conditions. These bathymetric surveys indicate the channel conditions at the time of the surveys and provide characteristics of scour holes that may be useful in the development of predictive guidelines or equations for scour holes. These data also may be useful to the Missouri Department of Transportation to assess the bridges for stability and integrity issues with respect to bridge scour during floods.</p>\n<br/>\n<p>Bathymetric data were collected around every pier that was in water, except those at the edge of water or in very shallow water (less than about 6 feet). Scour holes were present at most piers for which bathymetry could be obtained, except at piers on channel banks, near or embedded in lateral or longitudinal spur dikes, and on exposed bedrock outcrops. Scour holes observed at the surveyed bridges were examined with respect to depth and shape. Although exposure of parts of foundational support elements was observed at several piers, at most sites the exposure likely can be considered minimal compared to the overall substructure that remains buried in channel-bed material; however, there were several notable exceptions where the bed material thickness between the bottom of the scour hole and bedrock was less than 6 feet. Such substantial exposure of usually buried substructural elements may warrant special observation in future flood events.</p>\n<br/>\n<p>Previous bathymetric surveys had been done at all of the sites in this study during the flood of 2011. Comparisons between bathymetric surfaces from the previous surveys and those of this study generally indicate a consistent increase in the elevation of the bed and decrease in the size of scour holes at these sites, both likely caused by a substantial decrease in discharge and water-surface elevation compared to the 2011 surveys at most sites. However, multiple surveys at one of the sites indicate that the flow condition is not the sole variable in the determination of the size of scour holes at sites with a dual bridge configuration. Furthermore, another site had a smaller and shallower scour hole even though the discharge in this study was slightly greater than in 2011. Pier size, nose shape, and alignment to flow also had a substantial effect on the size of the scour hole observed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145116","collaboration":"Prepared in cooperation with the Missouri Department of Transportation","usgsCitation":"Huizinga, R.J., 2014, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, April-May, 2013: U.S. Geological Survey Scientific Investigations Report 2014-5116, viii, 79 p., https://doi.org/10.3133/sir20145116.","productDescription":"viii, 79 p.","numberOfPages":"92","onlineOnly":"Y","ipdsId":"IP-056537","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":290599,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5116/pdf/sir2014-5116.pdf"},{"id":290598,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5116/"},{"id":290600,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145116.jpg"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Missouri","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.00,38.00 ], [ -96.00,40.75 ], [ -90.00,40.75 ], [ -90.00,38.00 ], [ -96.00,38.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f0a8e4b0bc0bec09f8eb","contributors":{"authors":[{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495237,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70095411,"text":"ds768 - 2014 - Key subsurface data help to refine Trinity aquifer hydrostratigraphic units, south-central Texas","interactions":[],"lastModifiedDate":"2014-07-21T13:40:56","indexId":"ds768","displayToPublicDate":"2014-07-21T13:07:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"768","title":"Key subsurface data help to refine Trinity aquifer hydrostratigraphic units, south-central Texas","docAbstract":"<p>The geologic framework and hydrologic characteristics of aquifers are important components for studying the nation’s subsurface heterogeneity and predicting its hydraulic budgets. Detailed study of an aquifer’s subsurface hydrostratigraphy is needed to understand both its geologic and hydrologic frameworks. Surface hydrostratigraphic mapping can also help characterize the spatial distribution and hydraulic connectivity of an aquifer’s permeable zones. Advances in three-dimensional (3-D) mapping and modeling have also enabled geoscientists to visualize the spatial relations between the saturated and unsaturated lithologies.</p>\n<br/>\n<p>This detailed study of two borehole cores, collected in 2001 on the Camp Stanley Storage Activity (CSSA) area, provided the foundation for revising a number of hydrostratigraphic units representing the middle zone of the Trinity aquifer. The CSSA area is a restricted military facility that encompasses approximately 4,000 acres and is located in Boerne, Texas, northwest of the city of San Antonio. Studying both the surface and subsurface geology of the CSSA area are integral parts of a U.S. Geological Survey project funded through the National Cooperative Geologic Mapping Program. This modification of hydrostratigraphic units is being applied to all subsurface data used to construct a proposed 3-D EarthVision model of the CSSA area and areas to the south and west.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds768","collaboration":"Prepared in cooperation with Camp Stanley Storage Activity, Parsons Corporation, and Weatherford Laboratories","usgsCitation":"Blome, C.D., and Clark, A.K., 2014, Key subsurface data help to refine Trinity aquifer hydrostratigraphic units, south-central Texas: U.S. Geological Survey Data Series 768, 1 p., https://doi.org/10.3133/ds768.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","ipdsId":"IP-042154","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":290582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds768.jpg"},{"id":290591,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/768/pdf/ds768.pdf"},{"id":290581,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/768/"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.75,29.00 ], [ -99.75,30.50 ], [ -97.75,30.50 ], [ -97.75,29.00 ], [ -99.75,29.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f0a8e4b0bc0bec09f8ed","contributors":{"authors":[{"text":"Blome, Charles D. 0000-0002-3449-9378 cblome@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-9378","contributorId":1246,"corporation":false,"usgs":true,"family":"Blome","given":"Charles","email":"cblome@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":491188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Allan K. 0000-0003-0099-1521 akclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":1279,"corporation":false,"usgs":true,"family":"Clark","given":"Allan","email":"akclark@usgs.gov","middleInitial":"K.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":491189,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70170985,"text":"70170985 - 2014 - Linking rapid magma reservoir assembly and eruption trigger mechanisms at evolved Yellowstone-type supervolcanoes","interactions":[],"lastModifiedDate":"2019-11-14T12:31:26","indexId":"70170985","displayToPublicDate":"2014-07-21T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Linking rapid magma reservoir assembly and eruption trigger mechanisms at evolved Yellowstone-type supervolcanoes","docAbstract":"<p><span>The geological record contains evidence of volcanic eruptions that were as much as two orders of magnitude larger than the most voluminous eruption experienced by modern civilizations, the A.D. 1815 Tambora (Indonesia) eruption. Perhaps nowhere on Earth are deposits of such supereruptions more prominent than in the Snake River Plain&ndash;Yellowstone Plateau (SRP-YP) volcanic province (northwest United States). While magmatic activity at Yellowstone is still ongoing, the Heise volcanic field in eastern Idaho represents the youngest complete caldera cycle in the SRP-YP, and thus is particularly instructive for current and future volcanic activity at Yellowstone. The Heise caldera cycle culminated 4.5 Ma ago in the eruption of the &sim;1800 km</span><sup>3</sup><span>&nbsp;Kilgore Tuff. Accessory zircons in the Kilgore Tuff display significant intercrystalline and intracrystalline oxygen isotopic heterogeneity, and the vast majority are&nbsp;</span><sup>18</sup><span>O depleted. This suggests that zircons crystallized from isotopically distinct magma batches that were generated by remelting of subcaldera silicic rocks previously altered by low-&delta;</span><sup>18</sup><span>O meteoric-hydrothermal fluids. Prior to eruption these magma batches were assembled and homogenized into a single voluminous reservoir. U-Pb geochronology of isotopically diverse zircons using chemical abrasion&ndash;isotope dilution&ndash;thermal ionization mass spectrometry yielded indistinguishable crystallization ages with a weighted mean&nbsp;</span><sup>206</sup><span>Pb/</span><sup>238</sup><span>U date of 4.4876 &plusmn; 0.0023 Ma (MSWD = 1.5; n = 24). These zircon crystallization ages are also indistinguishable from the sanidine&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar dates, and thus zircons crystallized close to eruption. This requires that shallow crustal melting, assembly of isolated batches into a supervolcanic magma reservoir, homogenization, and eruption occurred extremely rapidly, within the resolution of our geochronology (10</span><sup>3</sup><span>&ndash;10</span><sup>4</sup><span>&nbsp;yr). The crystal-scale image of the reservoir configuration, with several isolated magma batches, is very similar to the reservoir configurations inferred from seismic data at active supervolcanoes. The connection of magma batches vertically distributed over several kilometers in the upper crust would cause a substantial increase of buoyancy overpressure, providing an eruption trigger mechanism that is the direct consequence of the reservoir assembly process.</span></p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/G35979.1","usgsCitation":"Wotzlaw, J., Bindeman, I., Watts, K.E., Schmitt, A., Caricchi, L., and Schaltegger, U., 2014, Linking rapid magma reservoir assembly and eruption trigger mechanisms at evolved Yellowstone-type supervolcanoes: Geology, v. 42, no. 9, p. 807-810, https://doi.org/10.1130/G35979.1.","productDescription":"4 p.","startPage":"807","endPage":"810","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057603","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":321300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.29150390625,\n              44.05601169578525\n            ],\n            [\n              -109.9072265625,\n              44.05601169578525\n            ],\n            [\n              -109.9072265625,\n              45.089035564831036\n            ],\n            [\n              -111.29150390625,\n              45.089035564831036\n            ],\n            [\n              -111.29150390625,\n              44.05601169578525\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d65a7e4b07e28b6684601","contributors":{"authors":[{"text":"Wotzlaw, J.F.","contributorId":169319,"corporation":false,"usgs":false,"family":"Wotzlaw","given":"J.F.","email":"","affiliations":[{"id":25472,"text":"University of Geneva","active":true,"usgs":false}],"preferred":false,"id":629330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bindeman, I.N.","contributorId":99337,"corporation":false,"usgs":true,"family":"Bindeman","given":"I.N.","affiliations":[],"preferred":false,"id":629331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watts, Kathryn E. 0000-0002-6110-7499 kwatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":5081,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn","email":"kwatts@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":629329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmitt, A.K.","contributorId":75320,"corporation":false,"usgs":true,"family":"Schmitt","given":"A.K.","email":"","affiliations":[],"preferred":false,"id":629332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caricchi, L.","contributorId":169320,"corporation":false,"usgs":false,"family":"Caricchi","given":"L.","affiliations":[{"id":25472,"text":"University of Geneva","active":true,"usgs":false}],"preferred":false,"id":629333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schaltegger, U.","contributorId":169321,"corporation":false,"usgs":false,"family":"Schaltegger","given":"U.","affiliations":[{"id":25472,"text":"University of Geneva","active":true,"usgs":false}],"preferred":false,"id":629334,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}