{"pageNumber":"613","pageRowStart":"15300","pageSize":"25","recordCount":46883,"records":[{"id":70041860,"text":"70041860 - 2012 - Predominant-period site classification for response spectra prediction equations in Italy","interactions":[],"lastModifiedDate":"2012-12-18T10:46:56","indexId":"70041860","displayToPublicDate":"2012-12-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":960,"text":"BSSA","active":true,"publicationSubtype":{"id":10}},"title":"Predominant-period site classification for response spectra prediction equations in Italy","docAbstract":"We propose a site‐classification scheme based on the predominant period of the site, as determined from the average horizontal‐to‐vertical (H/V) spectral ratios of ground motion. Our scheme extends Zhao <i>et al.</i> (2006) classifications by adding two classes, the most important of which is defined by flat H/V ratios with amplitudes less than 2. The proposed classification is investigated by using 5%‐damped response spectra from Italian earthquake records. We select a dataset of 602 three‐component analog and digital recordings from 120 earthquakes recorded at 214 seismic stations within a hypocentral distance of 200 km. Selected events are in the moment‐magnitude range 4.0≤M<sub>w</sub>≤6.8 and focal depths from a few kilometers to 46 km. We computed H/V ratios for these data and used them to classify each site into one of six classes. We then investigate the impact of this classification scheme on empirical ground‐motion prediction equations (GMPEs) by comparing its performance with that of the conventional rock/soil classification. Although the adopted approach results in only a small reduction of the overall standard deviation, the use of H/V spectral ratios in site classification does capture the signature of sites with flat frequency‐response, as well as deep and shallow‐soil profiles, characterized by long‐ and short‐period resonance, respectively; in addition, the classification scheme is relatively quick and inexpensive, which is an advantage over schemes based on measurements of shear‐wave velocity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"BSSA","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120110084","usgsCitation":"Di Alessandro, C., Bonilla, L.F., Boore, D.M., Rovelli, A., and Scotti, O., 2012, Predominant-period site classification for response spectra prediction equations in Italy: BSSA, p. 680-695, https://doi.org/10.1785/0120110084.","productDescription":"16 p.","startPage":"680","endPage":"695","additionalOnlineFiles":"Y","ipdsId":"IP-029087","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":264094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264093,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110084"}],"country":"Italy","noUsgsAuthors":false,"publicationDate":"2012-03-29","publicationStatus":"PW","scienceBaseUri":"50d20bb0e4b08b071e771b38","contributors":{"authors":[{"text":"Di Alessandro, Carola","contributorId":43436,"corporation":false,"usgs":true,"family":"Di Alessandro","given":"Carola","email":"","affiliations":[],"preferred":false,"id":470255,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonilla, Luis Fabian","contributorId":17894,"corporation":false,"usgs":true,"family":"Bonilla","given":"Luis","email":"","middleInitial":"Fabian","affiliations":[],"preferred":false,"id":470253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boore, David M. boore@usgs.gov","contributorId":2509,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":470252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rovelli, Antonio","contributorId":79378,"corporation":false,"usgs":false,"family":"Rovelli","given":"Antonio","email":"","affiliations":[{"id":12533,"text":"Istituto Nazionale di Geofisica e Vulcanologia – Sezione di Palermo- Via Ugo La Malfa, 153,  90146 Palermo, Italy","active":true,"usgs":false}],"preferred":false,"id":470256,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scotti, Oona","contributorId":38873,"corporation":false,"usgs":true,"family":"Scotti","given":"Oona","email":"","affiliations":[],"preferred":false,"id":470254,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041864,"text":"70041864 - 2012 - Fixed bed sorption of phosphorus from wastewater using iron oxide-based media derived from acid mine drainage","interactions":[],"lastModifiedDate":"2013-02-19T07:53:38","indexId":"70041864","displayToPublicDate":"2012-12-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Fixed bed sorption of phosphorus from wastewater using iron oxide-based media derived from acid mine drainage","docAbstract":"Phosphorus (P) releases to the environment have been implicated in the eutrophication of important water bodies worldwide. Current technology for the removal of P from wastewaters consists of treatment with aluminum (Al) or iron (Fe) salts, but is expensive. The neutralization of acid mine drainage (AMD) generates sludge rich in Fe and Al oxides that has hitherto been considered a waste product, but these sludges could serve as an economical adsorption media for the removal of P from wastewaters. Therefore, we have evaluated an AMD-derived media as a sorbent for P in fixed bed sorption systems. The homogenous surface diffusion model (HSDM) was used to analyze fixed bed test data and to determine the value of related sorption parameters. The surface diffusion modulus Ed was found to be a useful predictor of sorption kinetics. Values of Ed < 0.2 were associated with early breakthrough of P, while more desirable S-shaped breakthrough curves resulted when 0.2 < Ed < 0.5. Computer simulations of the fixed bed process with the HSDM confirmed that if Ed was known, the shape of the breakthrough curve could be calculated. The surface diffusion coefficient D s was a critical factor in the calculation of Ed and could be estimated based on the sorption test conditions such as media characteristics, and influent flow rate and concentration. Optimal test results were obtained with a relatively small media particle size (average particle radius 0.028 cm) and resulted in 96 % removal of P from the influent over 46 days of continuous operation. These results indicate that fixed bed sorption of P would be a feasible option for the utilization of AMD residues, thus helping to decrease AMD treatment costs while at the same time ameliorating the impacts of P contamination.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water, Air, and Soil Pollution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s11270-012-1262-x","usgsCitation":"Sibrell, P.L., and Tucker, T., 2012, Fixed bed sorption of phosphorus from wastewater using iron oxide-based media derived from acid mine drainage: Water, Air, & Soil Pollution, v. 223, no. 8, p. 5105-5117, https://doi.org/10.1007/s11270-012-1262-x.","productDescription":"13 p.","startPage":"5105","endPage":"5117","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":264091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264090,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11270-012-1262-x"}],"country":"United States","state":"Pennsylvania","city":"Brandy Camp","otherGeospatial":"Blue Valley","volume":"223","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-07-19","publicationStatus":"PW","scienceBaseUri":"50d20b82e4b08b071e771b15","contributors":{"authors":[{"text":"Sibrell, Philip L. psibrell@usgs.gov","contributorId":2006,"corporation":false,"usgs":true,"family":"Sibrell","given":"Philip","email":"psibrell@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":470260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, T.W.","contributorId":85409,"corporation":false,"usgs":true,"family":"Tucker","given":"T.W.","email":"","affiliations":[],"preferred":false,"id":470261,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041821,"text":"ofr20121257 - 2012 - Reconnaissance soil geochemistry at the Riverton Uranium Mill Tailings Remedial Action Site, Fremont County, Wyoming","interactions":[],"lastModifiedDate":"2025-05-14T19:21:42.065777","indexId":"ofr20121257","displayToPublicDate":"2012-12-17T00:00:00","publicationYear":"2012","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":"2012-1257","title":"Reconnaissance soil geochemistry at the Riverton Uranium Mill Tailings Remedial Action Site, Fremont County, Wyoming","docAbstract":"Soil samples were collected and chemically analyzed from the Riverton Uranium Mill Tailings Remedial Action Site, which lies within the Wind River Indian Reservation in Fremont County, Wyoming. Nineteen soil samples from a depth of 0 to 5 centimeters were collected in August 2011 from the site. The samples were sieved to less than 2 millimeters and analyzed for 44 major and trace elements following a near-total multi-acid extraction. Soil pH was also determined. The geochemical data were compared to a background dataset consisting of 160 soil samples previously collected from the same depth throughout the State of Wyoming as part of another ongoing study by the U.S. Geological Survey. Risk from potentially toxic elements in soil from the site to biologic receptors and humans was estimated by comparing the concentration of these elements with soil screening values established by the U.S. Environmental Protection Agency. All 19 samples exceeded the carcinogenic human health screening level for arsenic in residential soils of 0.39 milligrams per kilogram (mg/kg), which represents a one-in-one-million cancer risk (median arsenic concentration in the study area is 2.7 mg/kg). All 19 samples also exceeded the lead and vanadium screening levels for birds. Eighteen of the 19 samples exceeded the manganese screening level for plants, 13 of the 19 samples exceeded the antimony screening level for mammals, and 10 of 19 samples exceeded the zinc screening level for birds. However, these exceedances are also found in soils at most locations in the Wyoming Statewide soil database, and elevated concentrations alone are not necessarily cause for alarm. Uranium and thorium, two other elements of environmental concern, are elevated in soils at the site as compared to the Wyoming dataset, but no human or ecological soil screening levels have been established for these elements.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121257","usgsCitation":"Smith, D., and Sweat, M.J., 2012, Reconnaissance soil geochemistry at the Riverton Uranium Mill Tailings Remedial Action Site, Fremont County, Wyoming: U.S. Geological Survey Open-File Report 2012-1257, Report: iv, 23 p.; 1 Appendix, https://doi.org/10.3133/ofr20121257.","productDescription":"Report: iv, 23 p.; 1 Appendix","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2011-08-01","temporalEnd":"2011-08-31","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":264080,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1257.gif"},{"id":264079,"rank":1,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1257/Appendix%201.xlsx"},{"id":264078,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1257/OF12-1257.pdf"},{"id":264077,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1257/"}],"country":"United States","state":"Wyoming","county":"Fremont","otherGeospatial":"Riverton Uranium Mill","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.420833,42.975 ], [ -108.420833,43.25 ], [ -108.383333,43.25 ], [ -108.383333,42.975 ], [ -108.420833,42.975 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d0498ce4b0d83991d15696","contributors":{"authors":[{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":470239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweat, Michael J. mjsweat@usgs.gov","contributorId":356,"corporation":false,"usgs":true,"family":"Sweat","given":"Michael","email":"mjsweat@usgs.gov","middleInitial":"J.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470238,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041849,"text":"ofr20121217 - 2012 - Quaternary geologic map of the Glasgow 1° x 2° quadrangle, Montana","interactions":[],"lastModifiedDate":"2012-12-26T14:47:22","indexId":"ofr20121217","displayToPublicDate":"2012-12-17T00:00:00","publicationYear":"2012","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":"2012-1217","title":"Quaternary geologic map of the Glasgow 1° x 2° quadrangle, Montana","docAbstract":"The Glasgow quadrangle encompasses approximately 16,084 km<sup>2</sup> (6,210 mi<sup>2</sup>). The northern boundary is the Montana/Saskatchewan (U.S./Canada) boundary. The quadrangle is in the Northern Plains physiographic province and it includes the Boundary Plateau, Peerless Plateau, and Larb Hills. The primary river is the Milk River.\n\nThe map units are surficial deposits and materials, not landforms. Deposits that comprise some constructional landforms (for example, ground-moraine deposits, end-moraine deposits, and stagnation-moraine deposits, all composed of till) are distinguished for purposes of reconstruction of glacial history. Surficial deposits and materials are assigned to 23 map units on the basis of genesis, age, lithology or composition, texture or particle size, and other physical, chemical, and engineering characteristics. It is not a map of soils that are recognized in pedology or agronomy. Rather, it is a generalized map of soils recognized in engineering geology, or of substrata or parent materials in which pedologic or agronomic soils are formed. Glaciotectonic (ice-thrust) structures and deposits are mapped separately, represented by a symbol. The surficial deposits are glacial, ice-contact, glaciofluvial, alluvial, lacustrine, eolian, colluvial, and mass-movement deposits. Residuum, a surficial material, also is mapped. \n\nTill of late Wisconsin age is represented by three map units. Till of Illinoian age is also represented locally but is widespread in the subsurface.\n\nThis map was prepared to serve as a database for compilation of a Quaternary geologic map of the United States and Canada (scale 1:1,000,000). Letter symbols for the map units are those used for the same units in the Quaternary Geologic Atlas of the United States map series.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121217","collaboration":"Prepared in cooperation with the Montana Bureau of Mines and Geology","usgsCitation":"Fullerton, D.S., Colton, R.B., and Bush, C.A., 2012, Quaternary geologic map of the Glasgow 1° x 2° quadrangle, Montana: U.S. Geological Survey Open-File Report 2012-1217, Map: 52 x 36 inches; Downloads Directory, https://doi.org/10.3133/ofr20121217.","productDescription":"Map: 52 x 36 inches; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":264794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1217.gif"},{"id":264085,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1217/downloads/"},{"id":264083,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1217/"},{"id":264084,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1217/OF12_1217_508.pdf"}],"scale":"250000","country":"United States","state":"Montana","otherGeospatial":"Milk River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.0,48.0 ], [ -108.0,49.0 ], [ -106.0,49.0 ], [ -106.0,48.0 ], [ -108.0,48.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4989ae4b0e8fec6cd9d2a","contributors":{"authors":[{"text":"Fullerton, David S. fullerton@usgs.gov","contributorId":448,"corporation":false,"usgs":true,"family":"Fullerton","given":"David","email":"fullerton@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":470249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colton, Roger B.","contributorId":17967,"corporation":false,"usgs":true,"family":"Colton","given":"Roger","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":470251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bush, Charles A. cbush@usgs.gov","contributorId":1258,"corporation":false,"usgs":true,"family":"Bush","given":"Charles","email":"cbush@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":470250,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040393,"text":"70040393 - 2012 - Temporal variations of geyser water chemistry in the Upper Geyser Basin, Yellowstone National Park, USA","interactions":[],"lastModifiedDate":"2019-05-30T12:35:05","indexId":"70040393","displayToPublicDate":"2012-12-13T09:04:47","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variations of geyser water chemistry in the Upper Geyser Basin, Yellowstone National Park, USA","docAbstract":"Geysers are rare features that reflect a delicate balance between an abundant supply of water and heat and a unique geometry of fractures and porous rocks. Between April 2007 and September 2008, we sampled Old Faithful, Daisy, Grand, Oblong, and Aurum geysers in Yellowstone National Park's Upper Geyser Basin and characterized temporal variations in major element chemistry and water isotopes (δ<sup>18</sup>O, δD, <sup>3</sup>H). We compare these temporal variations with temporal trends of Geyser Eruption Intervals (GEI). SiO<sub>2</sub> concentrations and geothermometry indicate that the geysers are fed by waters ascending from a reservoir with temperatures of ∼190 to 210°C. The studied geysers display small and complex chemical and isotopic seasonal variations, and geysers with smaller volume display larger seasonal variations than geysers with larger volumes. Aurum and Oblong Geysers contain detectable tritium concentrations, suggesting that erupted water contains some modern meteoric water. We propose that seasonal GEI variations result from varying degrees of evaporation, meteoric water recharge, water table fluctuations, and possible hydraulic interaction with the adjacent Firehole River. We demonstrate that the concentrations of major dissolved species in Old Faithful Geyser have remained nearly constant since 1884 despite large changes in Old Faithful's eruption intervals, suggesting that no major changes have occurred in the hydrothermal system of the Upper Geyser Basin for >120 years. Our data set provides a baseline for monitoring future changes in geyser activity that might result from varying climate, earthquakes, and changes in heat flow from the underlying magmatic system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemistry, Geophysics, Geosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012GC004388","usgsCitation":"Hurwitz, S., Hunt, A.G., and Evans, W.C., 2012, Temporal variations of geyser water chemistry in the Upper Geyser Basin, Yellowstone National Park, USA: Geochemistry, Geophysics, Geosystems, v. 13, no. 12, 19 p., https://doi.org/10.1029/2012GC004388.","productDescription":"19 p.","numberOfPages":"19","ipdsId":"IP-041584","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":280954,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GC004388"},{"id":280955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Firehole River;Upper Geyser Basin;Yellowstone National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.156,44.1313 ], [ -111.156,45.109 ], [ -109.8255,45.109 ], [ -109.8255,44.1313 ], [ -111.156,44.1313 ] ] ] } } ] }","volume":"13","issue":"12","noUsgsAuthors":false,"publicationDate":"2012-12-13","publicationStatus":"PW","scienceBaseUri":"53cd768de4b0b2908510af70","contributors":{"authors":[{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","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":468259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":468258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":468260,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041781,"text":"sir20125216 - 2012 - Evaluation of water-quality characteristics and sampling design for streams in North Dakota, 1970–2008","interactions":[],"lastModifiedDate":"2017-10-14T11:23:39","indexId":"sir20125216","displayToPublicDate":"2012-12-13T00:00:00","publicationYear":"2012","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":"2012-5216","title":"Evaluation of water-quality characteristics and sampling design for streams in North Dakota, 1970–2008","docAbstract":"In response to the need to examine the large amount of historic water-quality data comprehensively across North Dakota and evaluate the efficiency of the State-wide sampling programs, a study was done by the U.S. Geological Survey in cooperation with the North Dakota State Water Commission and the North Dakota Department of Health to describe the water-quality data collected for the various programs and determine an efficient State-wide sampling design for monitoring future water-quality conditions. Although data collected for the North Dakota State Water Commission High-Low Sampling Program, the North Dakota Department of Health Ambient Water-Quality Network, and other projects and programs provide valuable information on the quality of water in streams in North Dakota, the objectives vary among the programs, some of the programs overlap spatially and temporally, and the various sampling designs may not be the most efficient or relevant to the objectives of the individual programs as they have changed through time.\n\nOne objective of a State-wide sampling program was to evaluate ways to describe the spatial variability of water-quality conditions across the State in the most efficient manner. Weighted least-squares regression analysis was used to relate the average absolute difference between paired downstream and upstream concentrations, expressed as a percent of the average downstream concentration, to the average absolute difference in daily flow between the downstream and upstream pairs, expressed as a percent of the average downstream flow. The analysis showed that a reasonable spatial network would consist of including the most downstream sites in large basins first, followed by the next upstream site(s) that roughly bisect the downstream flows at the first sites, followed by the next upstream site(s) that roughly bisect flows for the second sites. Sampling sites to be included in a potential State-wide network were prioritized into 3 design levels: level 1 (highest priority), level 2 (second priority), and level 3 (third priority).\n\nGiven the spatial distribution and priority designation (levels 1–3) of sites in the potential spatial network, the next consideration was to determine the appropriate temporal sampling frequency to use for monitoring future water-quality conditions. The time-series model used to detect concentration trends for this report also was used to evaluate sampling designs to monitor future water-quality trends. Sampling designs were evaluated with regard to their sensitivity to detect seasonal trends that occurred during three 4-month seasons—March through June, July through October, and November through February.\n\nFor the 34 level-1 sites, samples would be collected for major ions, trace metals, nutrients, bacteria, and sediment eight times per year, with samples in January, April (2 samples),May, June, July, August, and October. For the 21 level-2 sites, samples would be collected for major ions, trace metals, and nutrients six times per year (January, April, May, June, August, and October), and for the 26 level-3 sites, samples would be collected for these constituents four times per year (April, June, August, and October).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125216","collaboration":"Prepared in cooperation with the North Dakota State Water Commission and the North Dakota Department of Health","usgsCitation":"Galloway, J.M., Vecchia, A.V., Vining, K.C., Densmore, B.K., and Lundgren, R.F., 2012, Evaluation of water-quality characteristics and sampling design for streams in North Dakota, 1970–2008: U.S. Geological Survey Scientific Investigations Report 2012-5216, Report: viii, 301 p.; Appendix 3, https://doi.org/10.3133/sir20125216.","productDescription":"Report: viii, 301 p.; Appendix 3","numberOfPages":"316","onlineOnly":"Y","temporalStart":"1970-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":264016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5216.gif"},{"id":264014,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5216/"},{"id":264015,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5216/downloads/appendix3.xlsx"},{"id":264057,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5216/sir12-5216.pdf"}],"country":"United States","state":"North Dakota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.05,45.9351 ], [ -104.05,49.0007 ], [ -96.5545,49.0007 ], [ -96.5545,45.9351 ], [ -104.05,45.9351 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50cb5769e4b09e092d6f03d5","contributors":{"authors":[{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":470215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vining, Kevin C. 0000-0001-5738-3872 kcvining@usgs.gov","orcid":"https://orcid.org/0000-0001-5738-3872","contributorId":308,"corporation":false,"usgs":true,"family":"Vining","given":"Kevin","email":"kcvining@usgs.gov","middleInitial":"C.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lundgren, Robert F. 0000-0001-7669-0552 rflundgr@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-0552","contributorId":1657,"corporation":false,"usgs":true,"family":"Lundgren","given":"Robert","email":"rflundgr@usgs.gov","middleInitial":"F.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470213,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041777,"text":"70041777 - 2012 - Waste rice seed in conventional and stripper-head harvested fields in California: Implications for wintering waterfowl","interactions":[],"lastModifiedDate":"2012-12-13T20:09:08","indexId":"70041777","displayToPublicDate":"2012-12-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Waste rice seed in conventional and stripper-head harvested fields in California: Implications for wintering waterfowl","docAbstract":"Waste rice seed is an important food for wintering waterfowl and current estimates of its availability are needed to determine the carrying capacity of rice fields and guide habitat conservation. We used a line-intercept method to estimate mass-density of rice seed remaining after harvest during 2010 in the Sacramento Valley (SACV) of California and compared results with estimates from previous studies in the SACV and Mississippi Alluvial Valley (MAV). Posterior mean (95% credible interval) estimates of total waste rice seed mass-density for the SACV in 2010 were 388 (336–449) kg/ha in conventionally harvested fields and 245 (198–307) kg/ha in stripper-head harvested fields; the 2010 mass-density is nearly identical to the mid-1980s estimate for conventionally harvested fields but 36% lower than the mid-1990s estimate for stripped fields. About 18% of SACV fields were stripper-head harvested in 2010 vs. 9–15% in the mid-1990s and 0% in the mid-1980s; but due to a 50% increase in planted rice area, total mass of waste rice seed in SACV remaining after harvest in 2010 was 43% greater than in the mid-1980s. However, total mass of seed-eating waterfowl also increased 82%, and the ratio of waste rice seed to seed-eating waterfowl mass was 21% smaller in 2010 than in the mid-1980s. Mass-densities of waste rice remaining after harvest in SACV fields are within the range reported for MAV fields. However, because there is a lag between harvest and waterfowl use in the MAV but not in the SACV, seed loss is greater in the MAV and estimated waste seed mass-density available to wintering waterfowl in SACV fields is about 5–30 times recent MAV estimates. Waste rice seed remains an abundant food source for waterfowl wintering in the SACV, but increased use of stripper-head harvesters would reduce this food. To provide accurate data on carrying capacities of rice fields necessary for conservation planning, trends in planted rice area, harvest method, and postharvest field treatment should be tracked and impacts of postharvest field treatment and other farming practices on waste rice seed availability should be investigated.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Fish and Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Arlington, VA","doi":"10.3996/022012-JFWM-014","usgsCitation":"Fleskes, J.P., Halstead, B., Casazza, M.L., Coates, P.S., Kohl, J.D., and Skalos, D.A., 2012, Waste rice seed in conventional and stripper-head harvested fields in California: Implications for wintering waterfowl: Journal of Fish and Wildlife Management, v. 3, no. 2, p. 266-275, https://doi.org/10.3996/022012-JFWM-014.","productDescription":"10 p.; map","startPage":"266","endPage":"275","ipdsId":"IP-035176","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474206,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/022012-jfwm-014","text":"Publisher Index Page"},{"id":264018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264017,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3996/022012-JFWM-014"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"3","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50cb5783e4b09e092d6f03ed","contributors":{"authors":[{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":1889,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":470205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":470207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":470206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":470208,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kohl, Jeffrey D.","contributorId":79773,"corporation":false,"usgs":true,"family":"Kohl","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":470210,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Skalos, Daniel A.","contributorId":64123,"corporation":false,"usgs":true,"family":"Skalos","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470209,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70041776,"text":"sim3231 - 2012 - Flood-inundation maps for the White River at Newberry, Indiana","interactions":[],"lastModifiedDate":"2012-12-14T10:53:02","indexId":"sim3231","displayToPublicDate":"2012-12-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3231","title":"Flood-inundation maps for the White River at Newberry, Indiana","docAbstract":"Digital flood-inundation maps for a 4.9-mile reach of the White River at Newberry, Indiana (Ind.), were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Office of Community and Rural Affairs. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at <a href=\"http://water.usgs.gov/osw/flood_inundation\" target=\"_blank\">http://water.usgs.gov/osw/flood_inundation</a>, depict estimates of the areal extent of flooding corresponding to selected water levels (stages) at USGS streamgage 03360500, White River at Newberry, Ind. Current conditions at the USGS streamgage may be obtained on the Internet (<a href=\"http://waterdata.usgs.gov/in/nwis/uv?site_no=03360500\" target=\"_blank\">http://waterdata.usgs.gov/in/nwis/uv?site_no=03360500</a>). The National Weather Service (NWS) forecasts flood hydrographs at the Newberry streamgage. That forecasted peak-stage information, also available on the Internet, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. For this study, flood profiles were computed for the White River reach by means of a one-dimensional step-backwater model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the most current stage-discharge relation at USGS streamgage 03360500, White River at Newberry, Ind., and high-water marks from a flood in June 2008.The calibrated hydraulic model was then used to determine 22 water-surface profiles for flood stages a1-foot intervals referenced to the streamgage datum and ranging from bankfull to approximately the highest recorded water level at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level. The availability of these maps, along with Internet information regarding current stage from the USGS streamgage at Newberry, Ind., and forecasted stream stages from the NWS, provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3231","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs.  These sheets are availalbe in High Resolution PDF or Low Resolution JPG.  See <a href=\"http://pubs.usgs.gov/sim/3231/\" target=\"_blank\">SIM 3231</a> for more information.","usgsCitation":"Fowler, K.K., Kim, M.H., and Menke, C.D., 2012, Flood-inundation maps for the White River at Newberry, Indiana: U.S. Geological Survey Scientific Investigations Map 3231, Pamphlet: vi,8 p.; 22 sheets: 17 x 22 inches or smaller; Downloads Directory, https://doi.org/10.3133/sim3231.","productDescription":"Pamphlet: vi,8 p.; 22 sheets: 17 x 22 inches or smaller; Downloads Directory","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":264013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3231.gif"},{"id":263990,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3231/Downloads"},{"id":263988,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3231/"},{"id":263989,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3231/pdf/sim3231-102612.pdf"},{"id":263991,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet1-473_8ft.pdf"},{"id":263992,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet10-482_17ft.pdf"},{"id":263993,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet11-483_18ft.pdf"},{"id":263994,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet12-484_19ft.pdf"},{"id":263995,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet13-485_20ft.pdf"},{"id":263996,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet14-486_21ft.pdf"},{"id":263997,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet15-487_22ft.pdf"},{"id":263998,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet16-488_23ft.pdf"},{"id":263999,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet17-489_24ft.pdf"},{"id":264002,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet2-474_9ft.pdf"},{"id":264003,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet20-492_27ft.pdf"},{"id":264000,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet18-490_25ft.pdf"},{"id":264001,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet19-491_26ft.pdf"},{"id":264004,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet21-493_28ft.pdf"},{"id":264005,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet22-494_29ft.pdf"},{"id":264006,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet3-475_10ft.pdf"},{"id":264007,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet4-476_11ft.pdf"},{"id":264008,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet5-477_12ft.pdf"},{"id":264009,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet6-478_13ft.pdf"},{"id":264010,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet8-480_15ft.pdf"},{"id":264011,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet7-479_14ft.pdf"},{"id":264012,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3231/pdf/Sheet9-481_16ft.pdf"}],"projection":"Transverse Mercator","datum":"North American Datum of 1983","country":"United States","state":"Indiana","city":"Newberry","otherGeospatial":"White River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.07,38.90 ], [ -87.07,38.97 ], [ -86.67,38.97 ], [ -86.67,38.90 ], [ -87.07,38.90 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50cb576de4b09e092d6f03d9","contributors":{"authors":[{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kim, Moon H. 0000-0002-4328-8409 mkim@usgs.gov","orcid":"https://orcid.org/0000-0002-4328-8409","contributorId":3211,"corporation":false,"usgs":true,"family":"Kim","given":"Moon","email":"mkim@usgs.gov","middleInitial":"H.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Menke, Chad D. cdmenke@usgs.gov","contributorId":3209,"corporation":false,"usgs":true,"family":"Menke","given":"Chad","email":"cdmenke@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":470203,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041457,"text":"70041457 - 2012 - Geology and <sup>40</sup>Ar/<sup>39</sup>Ar geochronology of the medium- to high-K Tanaga volcanic cluster, western Aleutians","interactions":[],"lastModifiedDate":"2019-05-30T12:39:52","indexId":"70041457","displayToPublicDate":"2012-12-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Geology and <sup>40</sup>Ar/<sup>39</sup>Ar geochronology of the medium- to high-K Tanaga volcanic cluster, western Aleutians","docAbstract":"We used geologic mapping and geochemical data augmented by <sup>40</sup>Ar/<sup>39</sup>Ar dating to establish an eruptive chronology for the Tanaga volcanic cluster in the western Aleutian arc. The Tanaga volcanic cluster is unique in comparison to other central and western Aleutian volcanoes in that it consists of three closely spaced, active, volumetrically significant edifices (Sajaka, Tanaga, and Takawangha), the eruptive products of which have unusually high K<sub>2</sub>O contents. Thirty-five new <sup>40</sup>Ar/<sup>39</sup>Ar ages obtained in two different laboratories constrain the duration of Pleistocene–Holocene subaerial volcanism to younger than 295 ka. The eruptive activity has been mostly continuous for the last 150 k.y., unlike most other well-characterized arc volcanoes, which tend to grow in discrete pulses. More than half of the analyzed Tanaga volcanic cluster lavas are basalts that have erupted throughout the lifetime of the cluster, although a considerable amount of basaltic andesite and basaltic trachyandesite has also been produced since 200 ka. Major- and trace-element variations suggest that magmas from Sajaka and Tanaga volcanoes are likely to have crystallized pyroxene and/or amphibole at greater depths than the older Takawangha magmas, which experienced a larger percentage of plagioclase-dominated fractionation at shallower depths. Magma output from Takawangha has declined over the last 86 k.y. At ca. 19 ka, the focus of magma flux shifted to the west beneath Tanaga and Sajaka volcanoes, where hotter, more mafic magma erupted.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geological Society of America Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/B30472.1","usgsCitation":"Jicha, B.R., Coombs, M.L., Calvert, A.T., and Singer, B., 2012, Geology and <sup>40</sup>Ar/<sup>39</sup>Ar geochronology of the medium- to high-K Tanaga volcanic cluster, western Aleutians: Geological Society of America Bulletin, v. 124, no. 5-6, p. 842-856, https://doi.org/10.1130/B30472.1.","productDescription":"15 p.","startPage":"842","endPage":"856","ipdsId":"IP-027482","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":264035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264034,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B30472.1"}],"country":"United States","state":"Alaska","otherGeospatial":"Tanaga Island;Aleutian Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -178.228701,51.593733 ], [ -178.228701,51.918986 ], [ -177.613314,51.918986 ], [ -177.613314,51.593733 ], [ -178.228701,51.593733 ] ] ] } } ] }","volume":"124","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2012-03-09","publicationStatus":"PW","scienceBaseUri":"50cb5776e4b09e092d6f03e1","contributors":{"authors":[{"text":"Jicha, Brian R.","contributorId":44062,"corporation":false,"usgs":true,"family":"Jicha","given":"Brian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":469765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":469763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singer, Brad S.","contributorId":50425,"corporation":false,"usgs":true,"family":"Singer","given":"Brad S.","affiliations":[],"preferred":false,"id":469766,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041790,"text":"fs20123061 - 2012 - United States Geological Survey (USGS) Natural Hazards Response","interactions":[],"lastModifiedDate":"2012-12-14T09:53:27","indexId":"fs20123061","displayToPublicDate":"2012-12-13T00:00:00","publicationYear":"2012","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":"2012-3061","title":"United States Geological Survey (USGS) Natural Hazards Response","docAbstract":"The primary goal of U.S. Geological Survey (USGS) Natural Hazards Response is to ensure that the disaster response community has access to timely, accurate, and relevant geospatial products, imagery, and services during and after an emergency event. To accomplish this goal, products and services provided by the National Geospatial Program (NGP) and Land Remote Sensing (LRS) Program serve as a geospatial framework for mapping activities of the emergency response community. Post-event imagery and analysis can provide important and timely information about the extent and severity of an event. USGS Natural Hazards Response will also support the coordination of remotely sensed data acquisitions, image distribution, and authoritative geospatial information production as required for use in disaster preparedness, response, and recovery operations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123061","usgsCitation":"Lamb, R.M., and Jones, B., 2012, United States Geological Survey (USGS) Natural Hazards Response: U.S. Geological Survey Fact Sheet 2012-3061, 4 p., https://doi.org/10.3133/fs20123061.","productDescription":"4 p.","numberOfPages":"4","additionalOnlineFiles":"N","ipdsId":"IP-034620","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":264033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3061.gif"},{"id":264031,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3061/"},{"id":264032,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3061/fs2012-3061.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50cb577fe4b09e092d6f03e9","contributors":{"authors":[{"text":"Lamb, Rynn M. 0000-0001-6054-4139 lamb@usgs.gov","orcid":"https://orcid.org/0000-0001-6054-4139","contributorId":4038,"corporation":false,"usgs":true,"family":"Lamb","given":"Rynn","email":"lamb@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":470216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Brenda K. 0000-0003-4941-5349","orcid":"https://orcid.org/0000-0003-4941-5349","contributorId":60739,"corporation":false,"usgs":true,"family":"Jones","given":"Brenda K.","affiliations":[],"preferred":false,"id":470217,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041581,"text":"70041581 - 2012 - One year of migration data for a western yellow-billed cuckoo","interactions":[],"lastModifiedDate":"2013-11-15T10:31:25","indexId":"70041581","displayToPublicDate":"2012-12-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3743,"text":"Western Birds","active":true,"publicationSubtype":{"id":10}},"title":"One year of migration data for a western yellow-billed cuckoo","docAbstract":"In 2009, we studied the migration of the Western Yellow-billed Cuckoo by capturing 13 breeding birds on the middle Rio Grande, New Mexico, and attaching a 1.5-g Mk 14-S British Antarctic Survey geolocator to each bird. In 2010, we recaptured one of the cuckoos, enabling us to download its geolocation data. The cuckoo had flown approximately 9500 km during its southward migration, traveling through Central America to winter in portions of Bolivia, Brazil, Paraguay, and Argentina. The spring migration route differed somewhat from the fall route, with the cuckoo bypassing Central America to migrate through the Caribbean. Additionally, it moved between New Mexico and Mexico at the end of summer in 2009 and again in 2010 before being recaptured at its breeding site. Our results, albeit from one individual, hint at a dynamic migration strategy and have broad implications for the ecology and conservation of the Western Yellow-billed Cuckoo, a species of conservation concern.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Western Birds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Western Field Ornithologists","publisherLocation":"http://www.westernfieldornithologists.org/","usgsCitation":"Sechrist, J.D., Paxton, E.H., Ahlers, D.D., Doster, R.H., and Ryan, V.M., 2012, One year of migration data for a western yellow-billed cuckoo: Western Birds, v. 43, no. 1, p. 2-11.","productDescription":"10 p.","startPage":"2","endPage":"11","ipdsId":"IP-031415","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":263974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263973,"type":{"id":1,"text":"Abstract"},"url":"https://www.westernfieldornithologists.org/docs/abstracts/43-1.pdf"}],"volume":"43","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c9a766e4b06bc7a3e933c3","contributors":{"authors":[{"text":"Sechrist, Juddson D.","contributorId":52472,"corporation":false,"usgs":true,"family":"Sechrist","given":"Juddson","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":469942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":469941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahlers, Darrell D.","contributorId":92563,"corporation":false,"usgs":true,"family":"Ahlers","given":"Darrell","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":469945,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doster, Robert H.","contributorId":55710,"corporation":false,"usgs":true,"family":"Doster","given":"Robert","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":469943,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ryan, Vicky M.","contributorId":65742,"corporation":false,"usgs":true,"family":"Ryan","given":"Vicky","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469944,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041759,"text":"ofr20121239 - 2012 - Producing fractional rangeland component predictions in a sagebrush ecosystem, a Wyoming sensitivity analysis","interactions":[],"lastModifiedDate":"2012-12-12T15:01:41","indexId":"ofr20121239","displayToPublicDate":"2012-12-12T00:00:00","publicationYear":"2012","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":"2012-1239","title":"Producing fractional rangeland component predictions in a sagebrush ecosystem, a Wyoming sensitivity analysis","docAbstract":"Remote sensing information has been widely used to monitor vegetation condition and variations in a variety of ecosystems, including shrublands. Careful application of remotely sensed imagery can provide additional spatially explicit, continuous, and extensive data on the composition and condition of shrubland ecosystems. Historically, the most widely available remote sensing information has been collected by Landsat, which has offered large spatial coverage and moderate spatial resolution data globally for nearly three decades. Such medium-resolution satellite remote sensing information can quantify the distribution and variation of terrestrial ecosystems. Landsat imagery has been frequently used with other high-resolution remote sensing data to classify sagebrush components and quantify their spatial distributions (Ramsey and others, 2004; Seefeldt and Booth, 2004; Stow and others, 2008; Underwood and others, 2007). Modeling algorithms have been developed to use field measurements and satellite remote sensing data to quantify the extent and evaluate the quality of shrub ecosystem components in large geographic areas (Homer and others, 2009). The percent cover of sagebrush ecosystem components, including bare-ground, herbaceous, litter, sagebrush, and shrub, have been quantified for entire western states (Homer and others, 2012). Furthermore, research has demonstrated the use of current measurements with historical archives of Landsat imagery to quantify the variations of these components for the last two decades (Xian and others, 2012). The modeling method used to quantify the extent and spatial distribution of sagebrush components over a large area also has required considerable amounts of training data to meet targeted accuracy requirements. These training data have maintained product accuracy by ensuring that they are derived from good quality field measurements collected during appropriate ecosystem phenology and subsequently maximized by extrapolation on high-resolution remote sensing data (Homer and others, 2012). This method has proven its utility; however, to develop these products across even larger areas will require additional cost efficiencies to ensure that an adequate product can be developed for the lowest cost possible. Given the vast geographic extent of shrubland ecosystems in the western United States, identifying cost efficiencies with optimal training data development and subsequent application to medium resolution satellite imagery provide the most likely areas for methodological efficiency gains. The primary objective of this research was to conduct a series of sensitivity tests to evaluate the most optimal and practical way to develop Landsat scale information for estimating the extent and distribution of sagebrush ecosystem components over large areas in the conterminous United States. An existing dataset of sagebrush components developed from extensive field measurements, high-resolution satellite imagery, and medium resolution Landsat imagery in Wyoming was used as the reference database (Homer and others, 2012). Statistical analysis was performed to analyze the relation between the accuracy of sagebrush components and the amount and distribution of training data on Landsat scenes needed to obtain accurate predictions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121239","usgsCitation":"Xian, G., Homer, C.G., Granneman, B., and Meyer, D.K., 2012, Producing fractional rangeland component predictions in a sagebrush ecosystem, a Wyoming sensitivity analysis: U.S. Geological Survey Open-File Report 2012-1239, iv, 18 p., https://doi.org/10.3133/ofr20121239.","productDescription":"iv, 18 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":263980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1239.gif"},{"id":263978,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1239/"},{"id":263979,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1239/of12-1239.pdf"}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0,41.0 ], [ -111.0,45.0 ], [ -104.0,45.0 ], [ -104.0,41.0 ], [ -111.0,41.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c9a773e4b06bc7a3e933c7","contributors":{"authors":[{"text":"Xian, George 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":76589,"corporation":false,"usgs":true,"family":"Xian","given":"George","affiliations":[],"preferred":false,"id":470170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":470168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Granneman, Brian 0000-0002-1910-0955","orcid":"https://orcid.org/0000-0002-1910-0955","contributorId":96174,"corporation":false,"usgs":true,"family":"Granneman","given":"Brian","affiliations":[],"preferred":false,"id":470171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer, Debra K. 0000-0002-8841-697X dkmeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8841-697X","contributorId":3145,"corporation":false,"usgs":true,"family":"Meyer","given":"Debra","email":"dkmeyer@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":470169,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041489,"text":"70041489 - 2012 - Remote sensing of sagebrush canopy nitrogen","interactions":[],"lastModifiedDate":"2012-12-11T10:46:53","indexId":"70041489","displayToPublicDate":"2012-12-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing of sagebrush canopy nitrogen","docAbstract":"This paper presents a combination of techniques suitable for remotely sensing foliar Nitrogen (N) in semiarid shrublands – a capability that would significantly improve our limited understanding of vegetation functionality in dryland ecosystems. The ability to estimate foliar N distributions across arid and semi-arid environments could help answer process-driven questions related to topics such as controls on canopy photosynthesis, the influence of N on carbon cycling behavior, nutrient pulse dynamics, and post-fire recovery. Our study determined that further exploration into estimating sagebrush canopy N concentrations from an airborne platform is warranted, despite remote sensing challenges inherent to open canopy systems. Hyperspectral data transformed using standard derivative analysis were capable of quantifying sagebrush canopy N concentrations using partial least squares (PLS) regression with an <i>R<sup>2</sup></i> value of 0.72 and an <i>R<sup>2</sup></i> predicted value of 0.42 (<i>n</i> = 35). Subsetting the dataset to minimize the influence of bare ground (n = 19) increased <i>R<sup>2</sup></i> to 0.95 (<i>R<sup>2</sup></i> predicted = 0.56). Ground-based estimates of canopy N using leaf mass per unit area measurements (LMA) yielded consistently better model fits than ground-based estimates of canopy N using cover and height measurements. The LMA approach is likely a method that could be extended to other semiarid shrublands. Overall, the results of this study are encouraging for future landscape scale N estimates and represent an important step in addressing the confounding influence of bare ground, which we found to be a major influence on predictions of sagebrush canopy N from an airborne platform.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.rse.2012.05.002","usgsCitation":"Mitchell, J.J., Glenn, N.F., Sankey, T., Derryberry, D., and Germino, M., 2012, Remote sensing of sagebrush canopy nitrogen: Remote Sensing of Environment, v. 124, p. 217-223, https://doi.org/10.1016/j.rse.2012.05.002.","productDescription":"7 p.","startPage":"217","endPage":"223","ipdsId":"IP-038733","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":263920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263919,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2012.05.002"}],"volume":"124","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c8562ce4b03bc63bd679ba","contributors":{"authors":[{"text":"Mitchell, Jessica J.","contributorId":81772,"corporation":false,"usgs":true,"family":"Mitchell","given":"Jessica","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":469836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glenn, Nancy F.","contributorId":95321,"corporation":false,"usgs":true,"family":"Glenn","given":"Nancy","email":"","middleInitial":"F.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":469837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sankey, Temuulen T.","contributorId":38863,"corporation":false,"usgs":true,"family":"Sankey","given":"Temuulen T.","affiliations":[],"preferred":false,"id":469834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Derryberry, DeWayne R.","contributorId":99016,"corporation":false,"usgs":true,"family":"Derryberry","given":"DeWayne R.","affiliations":[],"preferred":false,"id":469838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Germino, Matthew J.","contributorId":50029,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[],"preferred":false,"id":469835,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041419,"text":"70041419 - 2012 - Rapid, low-cost photogrammetry to monitor volcanic eruptions: An example from Mount St. Helens, Washington, USA","interactions":[],"lastModifiedDate":"2021-02-11T20:39:24.649597","indexId":"70041419","displayToPublicDate":"2012-12-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Rapid, low-cost photogrammetry to monitor volcanic eruptions: An example from Mount St. Helens, Washington, USA","docAbstract":"<p><span>We describe a low-cost application of digital photogrammetry using commercially available photogrammetric software and oblique photographs taken with an off-the-shelf digital camera to create sequential digital elevation models (DEMs) of a lava dome that grew during the 2004–2008 eruption of Mount St. Helens (MSH) volcano. Renewed activity at MSH provided an opportunity to devise and test this method, because it could be validated against other observations of this well-monitored volcano. The datasets consist of oblique aerial photographs (snapshots) taken from a helicopter using a digital single-lens reflex camera. Twelve sets of overlapping digital images of the dome taken during 2004–2007 were used to produce DEMs and to calculate lava dome volumes and extrusion rates. Analyses of the digital images were carried out using photogrammetric software to produce three-dimensional coordinates of points identified in multiple photos. The evolving morphology of the dome was modeled by comparing successive DEMs. Results were validated by comparison to volume measurements derived from traditional vertical photogrammetric surveys by the US Geological Survey Cascades Volcano Observatory. Our technique was significantly less expensive and required less time than traditional vertical photogrammetric techniques; yet, it consistently yielded volume estimates within 5% of the traditional method. This technique provides an inexpensive, rapid assessment tool for tracking lava dome growth or other topographic changes at restless volcanoes.</span></p>","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00445-011-0548-y","usgsCitation":"Diefenbach, A., Crider, J.G., Schilling, S.P., and Dzurisin, D., 2012, Rapid, low-cost photogrammetry to monitor volcanic eruptions: An example from Mount St. Helens, Washington, USA: Bulletin of Volcanology, v. 74, no. 2, p. 579-587, https://doi.org/10.1007/s00445-011-0548-y.","productDescription":"9 p.","startPage":"579","endPage":"587","ipdsId":"IP-029276","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":263928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.22993850708006,\n              46.166754488708506\n            ],\n            [\n              -122.14702606201172,\n              46.166754488708506\n            ],\n            [\n              -122.14702606201172,\n              46.231034280827245\n            ],\n            [\n              -122.22993850708006,\n              46.231034280827245\n            ],\n            [\n              -122.22993850708006,\n              46.166754488708506\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"74","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-10-21","publicationStatus":"PW","scienceBaseUri":"50c85622e4b03bc63bd679b2","contributors":{"authors":[{"text":"Diefenbach, Angela K. 0000-0003-0214-7818","orcid":"https://orcid.org/0000-0003-0214-7818","contributorId":36650,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Angela K.","affiliations":[],"preferred":false,"id":469688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crider, Juliet G.","contributorId":78580,"corporation":false,"usgs":true,"family":"Crider","given":"Juliet","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":469689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schilling, Steve P. sschilli@usgs.gov","contributorId":634,"corporation":false,"usgs":true,"family":"Schilling","given":"Steve","email":"sschilli@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469687,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469686,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041742,"text":"sir20125260 - 2012 - Water-level altitudes and continuous and discrete water quality at and near an aquifer storage and recovery site, Bexar, Atascosa, and Wilson Counties, Texas, June 2004-September 2011","interactions":[],"lastModifiedDate":"2016-08-05T16:24:25","indexId":"sir20125260","displayToPublicDate":"2012-12-11T00:00:00","publicationYear":"2012","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":"2012-5260","title":"Water-level altitudes and continuous and discrete water quality at and near an aquifer storage and recovery site, Bexar, Atascosa, and Wilson Counties, Texas, June 2004-September 2011","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the San Antonio Water System (SAWS), collected data during 2004&ndash;11 to characterize the quality of native groundwater from the San Antonio segment of the Edwards aquifer (hereinafter, Edwards aquifer) and preinjection and postinjection water from the Carrizo aquifer (informal name commonly applied to the upper part of the Carrizo-Wilcox aquifer in the area) at and near an aquifer storage and recovery (ASR) site in Bexar, Atascosa, and Wilson Counties, Texas. Daily mean water-level altitude, water temperature, and specific conductance were measured continuously in a monitoring well on the ASR site to determine how injection and withdrawal at the ASR site might affect local groundwater. Groundwater samples were collected and analyzed for selected physical properties and constituents to characterize the quality of native groundwater from the Edwards aquifer and preinjection and postinjection water from the Carrizo aquifer near the ASR site to provide a better understanding of possible changes in the quality of groundwater near an active ASR site that might result from the mixing of water from different aquifers. During injection periods, the water-level altitude in the monitoring well generally increased as the amount of water being injected into all wells at the ASR site increased and decreased as the amount of water being injected into all wells at the ASR site decreased. During withdrawal periods, the water-level altitude in the monitoring well generally increased as the total volume of water being withdrawn from all wells at the ASR site decreased and generally decreased as the total volume of water being withdrawn from all wells increased. Daily mean water temperature fluctuated by less than 1 degree Celsius and was determined to be independent of injection or withdrawal conditions at the ASR site. Changes in daily mean specific-conductance values measured at four depths in the monitoring well at the ASR site occurred without regard to total ASR site injection or withdrawal volumes. No substantial differences were measured over time in major-ion, trace-element, or isotope chemistry of water samples collected from the wells that supplied water from the Edwards aquifer. Little variation in water chemistry was detected in the samples collected from four wells designed to inject and withdraw water at the ASR site, regardless of whether the ASR site was injecting or withdrawing water. The similarity of major-ion and isotope chemistry between the Edwards aquifer source wells and the four ASR wells indicates that little, if any, migration of injected water away from the ASR wells has occurred. In a well located closest to the ASR site in the direction of regional flow for the Carrizo aquifer, a greater alkalinity value and a smaller concentration of chloride were measured in the most recent sample than in all other samples collected at this well. Substantial increases in dissolved iron and manganese concentrations also were observed in this well. The increased alkalinity value and dissolved iron and manganese concentrations and the decreased chloride concentration in the well could indicate that the injected water from the Edwards aquifer had begun to move into at least a part of the strata supplying these wells and might be causing iron and manganese mobilization in the Carrizo aquifer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125260","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Crow, C.L., 2012, Water-level altitudes and continuous and discrete water quality at and near an aquifer storage and recovery site, Bexar, Atascosa, and Wilson Counties, Texas, June 2004-September 2011: U.S. Geological Survey Scientific Investigations Report 2012-5260, vii, 85 p., https://doi.org/10.3133/sir20125260.","productDescription":"vii, 85 p.","numberOfPages":"98","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2004-06-01","temporalEnd":"2011-09-30","ipdsId":"IP-041166","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":263956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5260.gif"},{"id":263954,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5260/"},{"id":263955,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5260/pdf/sir2012-5260.pdf"}],"country":"United States","state":"Texas","county":"Atascosa County, Bexar County, Wilson County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.51,25.84 ], [ -93.51,36.5 ], [ -106.65,36.5 ], [ -106.65,25.84 ], [ -93.51,25.84 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c85642e4b03bc63bd679ca","contributors":{"authors":[{"text":"Crow, Cassi L. 0000-0002-1279-2485 ccrow@usgs.gov","orcid":"https://orcid.org/0000-0002-1279-2485","contributorId":1666,"corporation":false,"usgs":true,"family":"Crow","given":"Cassi","email":"ccrow@usgs.gov","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470144,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70041736,"text":"70041736 - 2012 - Bioenergy potential of the United States constrained by satellite observations of existing productivity","interactions":[],"lastModifiedDate":"2012-12-11T20:46:43","indexId":"70041736","displayToPublicDate":"2012-12-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Bioenergy potential of the United States constrained by satellite observations of existing productivity","docAbstract":"United States (U.S.) energy policy includes an expectation that bioenergy will be a substantial future energy source. In particular, the Energy Independence and Security Act of 2007 (EISA) aims to increase annual U.S. biofuel (secondary bioenergy) production by more than 3-fold, from 40 to 136 billion liters ethanol, which implies an even larger increase in biomass demand (primary energy), from roughly 2.9 to 7.4 EJ yr<sup>–1</sup>. However, our understanding of many of the factors used to establish such energy targets is far from complete, introducing significgant uncertainty into the feasibility of current estimates of bioenergy potential. Here, we utilized satellite-derived net primary productivity (NPP) data—measured for every 1 km<sup>2</sup> of the 7.2 million km<sup>2</sup> of vegetated land in the conterminous U.S.—to estimate primary bioenergy potential (PBP). Our results indicate that PBP of the conterminous U.S. ranges from roughly 5.9 to 22.2 EJ yr<sup>–1</sup>, depending on land use. The low end of this range represents the potential when harvesting residues only, while the high end would require an annual biomass harvest over an area more than three times current U.S. agricultural extent. While EISA energy targets are theoretically achievable, we show that meeting these targets utilizing current technology would require either an 80% displacement of current crop harvest or the conversion of 60% of rangeland productivity. Accordingly, realistically constrained estimates of bioenergy potential are critical for effective incorporation of bioenergy into the national energy portfolio.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es203935d","usgsCitation":"Smith, W., Cleveland, C.C., Reed, S.C., Miller, N., and Running, S.W., 2012, Bioenergy potential of the United States constrained by satellite observations of existing productivity: Environmental Science & Technology, v. 46, no. 6, p. 3536-3544, https://doi.org/10.1021/es203935d.","productDescription":"9 p.","startPage":"3536","endPage":"3544","numberOfPages":"9","ipdsId":"IP-034254","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":263958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263957,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es203935d"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -172.5,18.9 ], [ -172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ -172.5,18.9 ] ] ] } } ] }","volume":"46","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-03-01","publicationStatus":"PW","scienceBaseUri":"50c855eae4b03bc63bd6798a","contributors":{"authors":[{"text":"Smith, W. Kolby","contributorId":9933,"corporation":false,"usgs":false,"family":"Smith","given":"W. Kolby","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":470130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cleveland, Cory C.","contributorId":10264,"corporation":false,"usgs":true,"family":"Cleveland","given":"Cory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":470131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":470129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Norman L.","contributorId":87830,"corporation":false,"usgs":true,"family":"Miller","given":"Norman L.","affiliations":[],"preferred":false,"id":470133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Running, Steven W. 0000-0001-6906-3841","orcid":"https://orcid.org/0000-0001-6906-3841","contributorId":53258,"corporation":false,"usgs":false,"family":"Running","given":"Steven","email":"","middleInitial":"W.","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":470132,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041730,"text":"sir20125238 - 2012 - Characterization of the hydrologic resources of San Miguel County, New Mexico, and identification of hydrologic data gaps, 2011","interactions":[],"lastModifiedDate":"2012-12-11T14:46:08","indexId":"sir20125238","displayToPublicDate":"2012-12-11T00:00:00","publicationYear":"2012","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":"2012-5238","title":"Characterization of the hydrologic resources of San Miguel County, New Mexico, and identification of hydrologic data gaps, 2011","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with San Miguel County, New Mexico, conducted a study to assess publicly available information regarding the hydrologic resources of San Miguel County and to identify data gaps in that information and hydrologic information that could aid in the management of available water resources. The USGS operates four continuous annual streamgages in San Miguel County. Monthly discharge at these streamgages is generally bimodally distributed, with most runoff corresponding to spring runoff and to summer monsoonal rains. Data compiled since 1951 on the geology and groundwater resources of San Miguel County are generally consistent with the original characterization of depth and availability of groundwater resources and of source aquifers. Subsequent exploratory drilling identified deep available groundwater in some locations. Most current (2011) development of groundwater resources is in western San Miguel County, particularly in the vicinity of El Creston hogback, the hogback ridge just west of Las Vegas, where USGS groundwater-monitoring wells indicate that groundwater levels are declining. \n\nRegarding future studies to address identified data gaps, the ability to evaluate and quantify surface-water resources, both as runoff and as potential groundwater recharge, could be enhanced by expanding the network of streamgages and groundwater-monitoring wells throughout the county. A series of seepage surveys along the lengths of the rivers could help to determine locations of surface-water losses to and gains from the local groundwater system and could help to quantify the component of streamflow attributable to irrigation return flow; associated synoptic water-quality sampling could help to identify potential effects to water quality attributable to irrigation return flow. Effects of groundwater withdrawals on streamflow could be assessed by constructing monitoring wells along transects between production wells and stream reaches of interest to monitor decline or recovery of the water table, to quantify the timing and extent of water-table response, and to identify the spatial extent of capture zones. Assessment of groundwater potential could be aided by a county-wide distribution of water-level information and by a series of maps of groundwater potential, compiled for each individual aquifer, including saline aquifers, for which the potential for municipal use through desalination could be explored. A county-wide geographic information system hydrologic geodatabase could provide a comprehensive picture of water use in San Miguel County and could be used by San Miguel County as a decision-support tool for future management decisions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125238","collaboration":"Prepared in cooperation with San Miguel County, New Mexico","usgsCitation":"Matherne, A.M., and Stewart, A.M., 2012, Characterization of the hydrologic resources of San Miguel County, New Mexico, and identification of hydrologic data gaps, 2011: U.S. Geological Survey Scientific Investigations Report 2012-5238, Report: viii, 44 p.; XLSX Table 5, https://doi.org/10.3133/sir20125238.","productDescription":"Report: viii, 44 p.; XLSX Table 5","numberOfPages":"56","additionalOnlineFiles":"Y","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":263943,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5238/sir2012-5238.pdf"},{"id":263944,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5238/sir2012-5238_table5.xlsx"},{"id":263945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5238.gif"},{"id":263942,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5238/"}],"country":"United States","state":"New Mexico","county":"San Miguel","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.7222,35.0416 ], [ -105.7222,35.871 ], [ -103.637,35.871 ], [ -103.637,35.0416 ], [ -105.7222,35.0416 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c855fce4b03bc63bd67992","contributors":{"authors":[{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, Anne M. astewart@usgs.gov","contributorId":3938,"corporation":false,"usgs":true,"family":"Stewart","given":"Anne","email":"astewart@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470115,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041723,"text":"sir20115118 - 2012 - Low-flow characteristics of streams under natural and diversion conditions, Waipi&#699;o Valley, Island of Hawai&#699;i, Hawai&#699;i","interactions":[],"lastModifiedDate":"2012-12-11T14:34:07","indexId":"sir20115118","displayToPublicDate":"2012-12-11T00:00:00","publicationYear":"2012","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":"2011-5118","title":"Low-flow characteristics of streams under natural and diversion conditions, Waipi&#699;o Valley, Island of Hawai&#699;i, Hawai&#699;i","docAbstract":"Over the past 100 years, natural streamflow in Waipi&#699;o Valley has been reduced by the transfer of water out of the valley by Upper and Lower Hāmākua Ditches. The physical condition and diversion practices along the two ditch systems have varied widely over the years, and as a result, so have their effects on natural streamflow in Waipi&#699;o Valley. Recent renovation and improvements to Lower Hāmākua Ditch system, along with proposals for its future operation and water-diversion strategies, have unknown implications. The purpose of this report is to quantify the availability of streamflow and to determine the effects of current and proposed diversion strategies on the low-flow hydrology in Waipi&#699;o Valley. In this report, the low-flow hydrology of Waipi&#699;o Valley is described in terms of flow-duration statistics. Flow-duration statistics were computed for three locations in the Waipi&#699;o Valley study area where long-term surface-water gaging stations have been operated. Using a variety of streamflow record-extension techniques, flow-duration statistics were estimated at an additional 13 locations where only few historical data are available or where discharge measurements were made as part of this study. Flow-duration statistics were computed to reflect natural conditions, current (2000-2005) diversion conditions, and proposed future diversion conditions at the 16 locations. At the downstream limit of the study area, on Wailoa Stream at an altitude of 190 feet, a baseline for evaluating the availability of streamflow is provided by computed flow-duration statistics that are representative of natural, no-diversion conditions. At the Wailoa gaging station, 95- and 50-percentile discharges under natural conditions were determined to be 86 and 112 cubic feet per second, respectively. Under 1965-1969 diversion conditions, natural 95- and 50-percentile discharges were reduced by 52 and 53 percent, to 41 and 53 cubic feet per second, respectively. Under current (2000-2005) diversion conditions, natural 95- and 50-percentile discharges were reduced by 21 and 24 percent, to 68 and 85 cubic feet per second, respectively. Under proposed future diversion conditions, natural 95- and 50-percentile discharges would be reduced by 33 and 24 percent, to 58 and 85 cubic feet per second, respectively. Compared to discharges that reflect current (2000-2005) diversion conditions, proposed future diversion conditions would reduce 95-percentile discharges, which are representative of moderate drought levels in the stream, by 15 percent. No change would be expected in 50-percentile discharges, which are representative of normal conditions. The effects of current (2000-2005) and proposed future diversion conditions on the natural flow of streams in the Waipi&#699;o Valley study area differ, depending on the location. Under current (2000-2005) diversion conditions, reductions in natural 95- or 50-percentile discharges of greater than 30 percent were found in Kawainui Stream downstream from Upper Hamakua Ditch to an altitude of about 1,435 feet and in the reach of Waimā Stream between Upper and Lower Hāmākua Ditches. Under proposed future diversion conditions, reductions in natural 95- or 50-percentile discharges of greater than 30 percent were found in Kawainui Stream downstream from Upper Hamakua Ditch to an altitude of about 1,435 feet, in the reach of Waimā Stream between Upper and Lower Hāmākua Ditches, and along most stream reaches downstream from Lower Hāmākua Ditch, except for Waimā Stream.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115118","collaboration":"Prepared in cooperation with the State of Hawaiʻi Office of Hawaiian Affairs","usgsCitation":"Fontaine, R.A., 2012, Low-flow characteristics of streams under natural and diversion conditions, Waipi&#699;o Valley, Island of Hawai&#699;i, Hawai&#699;i: U.S. Geological Survey Scientific Investigations Report 2011-5118, ix, 80 p., https://doi.org/10.3133/sir20115118.","productDescription":"ix, 80 p.","numberOfPages":"94","onlineOnly":"Y","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":263941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5118.gif"},{"id":263939,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5118/"},{"id":263940,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5118/sir2011-5118.pdf"}],"scale":"24000","projection":"Transverse Mercator projection","datum":"North American Datum 1983","country":"United States","city":"Hawai?i","otherGeospatial":"Waipi?o Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 155.70,20.00 ], [ 155.70,20.15 ], [ 155.56,20.15 ], [ 155.56,20.00 ], [ 155.70,20.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c85615e4b03bc63bd679a6","contributors":{"authors":[{"text":"Fontaine, Richard A. rfontain@usgs.gov","contributorId":2379,"corporation":false,"usgs":true,"family":"Fontaine","given":"Richard","email":"rfontain@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":470109,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70041619,"text":"70041619 - 2012 - Redox reaction rates in shallow aquifers: Implications for nitrate transport in groundwater and streams","interactions":[],"lastModifiedDate":"2013-03-17T19:52:58","indexId":"70041619","displayToPublicDate":"2012-12-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Redox reaction rates in shallow aquifers: Implications for nitrate transport in groundwater and streams","docAbstract":"Groundwater age and water chemistry data along flow paths from recharge areas to streams were used to evaluate the trends and transformations of agricultural chemicals. Results from this analysis indicate that median nitrate recharge concentrations in these agricultural areas have increased markedly over the last 50 years from 4 mg N/L in samples collected prior to 1983 to 7.5 mg N/L in samples collected since 1983. The effect that nitrate accumulation in shallow aquifers will have on drinking water quality and stream ecosystems is dependent on the rate of redox reactions along flow paths and on the age distribution of nitrate discharging to supply wells and streams.","largerWorkTitle":"Abstracts with Programs, Geological Society of America Annual Meeting","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","usgsCitation":"Tesoriero, A., 2012, Redox reaction rates in shallow aquifers: Implications for nitrate transport in groundwater and streams, <i>in</i> Abstracts with Programs, Geological Society of America Annual Meeting, v. 44, no. 7, p. 208-208.","productDescription":"1 p.","startPage":"208","endPage":"208","ipdsId":"IP-025488","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":263925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263924,"type":{"id":11,"text":"Document"},"url":"https://gsa.confex.com/gsa/2012AM/finalprogram/abstract_210158.htm"}],"volume":"44","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c85626e4b03bc63bd679b6","contributors":{"authors":[{"text":"Tesoriero, Anthony J.","contributorId":40207,"corporation":false,"usgs":true,"family":"Tesoriero","given":"Anthony J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":469989,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70041048,"text":"70041048 - 2012 - The utility of harvest recoveries of marked individuals to assess polar bear (Ursus maritimus) survival","interactions":[],"lastModifiedDate":"2020-12-29T16:59:56.53923","indexId":"70041048","displayToPublicDate":"2012-12-10T13:11:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":894,"text":"Arctic","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The utility of harvest recoveries of marked individuals to assess polar bear (<i>Ursus maritimus</i>) survival","title":"The utility of harvest recoveries of marked individuals to assess polar bear (Ursus maritimus) survival","docAbstract":"<p><span>Management of polar bear (</span><i>Ursus maritimus</i><span>) populations requires the periodic assessment of life history metrics such as survival rate. This information is frequently obtained during short-term capture and marking efforts (e.g., over the course of three years) that result in hundreds of marked bears remaining in the population after active marking is finished. Using 10 additional years of harvest recovery subsequent to a period of active marking, we provide updated estimates of annual survival for polar bears in the Baffin Bay population of Greenland and Canada. Our analysis suggests a decline in survival of polar bears since the period of active marking that ended in 1997; some of the decline in survival can likely be attributed to a decline in springtime ice concentration over the continental shelf of Baffin Island. The variance around the survival estimates is comparatively high because of the declining number of marks available; therefore, results must be interpreted with caution. The variance of the estimates of survival increased most substantially in the sixth year post-marking. When survival estimates calculated with recovery-only and recapture-recovery data sets from the period of active marking were compared, survival rates were indistinguishable. However, for the period when fewer marks were available, survival estimates were lower using the recovery-only data set, which indicates that part of the decline we detected for 2003 – 09 may be due to using only harvest recovery data. Nevertheless, the decline in the estimates of survival is consistent with population projections derived from harvest numbers and earlier vital rates, as well as with an observed decline in the extent of sea ice habitat.</span></p>","language":"English","publisher":"Arctic Institute of North America","doi":"10.14430/arctic4237","usgsCitation":"Peacock, E.L., Laake, J., Laidre, K., Born, E.W., and Atkinson, S.N., 2012, The utility of harvest recoveries of marked individuals to assess polar bear (Ursus maritimus) survival: Arctic, v. 65, no. 4, p. 391-400, https://doi.org/10.14430/arctic4237.","productDescription":"10 p.","startPage":"391","endPage":"400","ipdsId":"IP-036229","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474210,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14430/arctic4237","text":"Publisher Index Page"},{"id":381727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada;Greenland","otherGeospatial":"Baffin Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.86,63.91 ], [ -99.86,81.64 ], [ -48.67,81.64 ], [ -48.67,63.91 ], [ -99.86,63.91 ] ] ] } } ] }","volume":"65","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-12-10","publicationStatus":"PW","scienceBaseUri":"53cd78c1e4b0b2908510c5e5","contributors":{"authors":[{"text":"Peacock, Elizabeth L. 0000-0001-7279-0329 lpeacock@usgs.gov","orcid":"https://orcid.org/0000-0001-7279-0329","contributorId":3361,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"lpeacock@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":469261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laake, Jeff","contributorId":81444,"corporation":false,"usgs":true,"family":"Laake","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":469260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laidre, Kristin L.","contributorId":37646,"corporation":false,"usgs":true,"family":"Laidre","given":"Kristin L.","affiliations":[],"preferred":false,"id":469259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Born, Erik W.","contributorId":8379,"corporation":false,"usgs":false,"family":"Born","given":"Erik","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":469257,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atkinson, Stephen N.","contributorId":12365,"corporation":false,"usgs":false,"family":"Atkinson","given":"Stephen","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":469258,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041421,"text":"70041421 - 2012 - Improving the accuracy of S0<sub>2</sub> column densities and emission rates obtained from upward-looking UV-spectroscopic measurements of volcanic plumes by taking realistic radiative transfer into account","interactions":[],"lastModifiedDate":"2019-05-30T12:56:47","indexId":"70041421","displayToPublicDate":"2012-12-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2316,"text":"Journal of Geophysical Research D: Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Improving the accuracy of S0<sub>2</sub> column densities and emission rates obtained from upward-looking UV-spectroscopic measurements of volcanic plumes by taking realistic radiative transfer into account","docAbstract":"Sulfur dioxide (SO<sub>2</sub>) is monitored using ultraviolet (UV) absorption spectroscopy at numerous volcanoes around the world due to its importance as a measure of volcanic activity and a tracer for other gaseous species. Recent studies have shown that failure to take realistic radiative transfer into account during the spectral retrieval of the collected data often leads to large errors in the calculated emission rates. Here, the framework for a new evaluation method which couples a radiative transfer model to the spectral retrieval is described. In it, absorption spectra are simulated, and atmospheric parameters are iteratively updated in the model until a best match to the measurement data is achieved. The evaluation algorithm is applied to two example Differential Optical Absorption Spectroscopy (DOAS) measurements conducted at Kilauea volcano (Hawaii). The resulting emission rates were 20 and 90% higher than those obtained with a conventional DOAS retrieval performed between 305 and 315 nm, respectively, depending on the different SO<sub>2</sub> and aerosol loads present in the volcanic plume. The internal consistency of the method was validated by measuring and modeling SO2 absorption features in a separate wavelength region around 375 nm and comparing the results. Although additional information about the measurement geometry and atmospheric conditions is needed in addition to the acquired spectral data, this method for the first time provides a means of taking realistic three-dimensional radiative transfer into account when analyzing UV-spectral absorption measurements of volcanic SO<sub>2</sub> plumes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research D: Atmospheres","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012JD017936","usgsCitation":"Kern, C., Deutschmann, T., Werner, C., Sutton, A.J., Elias, T., and Kelly, P., 2012, Improving the accuracy of S0<sub>2</sub> column densities and emission rates obtained from upward-looking UV-spectroscopic measurements of volcanic plumes by taking realistic radiative transfer into account: Journal of Geophysical Research D: Atmospheres, v. 117, 23 p.; D20302, https://doi.org/10.1029/2012JD017936.","productDescription":"23 p.; D20302","numberOfPages":"23","ipdsId":"IP-037318","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true},{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":264054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264053,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012JD017936"}],"country":"United States","volume":"117","noUsgsAuthors":false,"publicationDate":"2012-10-18","publicationStatus":"PW","scienceBaseUri":"50cc58ece4b00ab7c548c6ac","contributors":{"authors":[{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":469697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deutschmann, Tim","contributorId":57742,"corporation":false,"usgs":true,"family":"Deutschmann","given":"Tim","email":"","affiliations":[],"preferred":false,"id":469701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Werner, Cynthia 0000-0003-3311-6694","orcid":"https://orcid.org/0000-0003-3311-6694","contributorId":11444,"corporation":false,"usgs":true,"family":"Werner","given":"Cynthia","affiliations":[],"preferred":false,"id":469699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutton, A. Jeff","contributorId":45605,"corporation":false,"usgs":true,"family":"Sutton","given":"A.","email":"","middleInitial":"Jeff","affiliations":[],"preferred":false,"id":469700,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elias, Tamar 0000-0002-9592-4518 telias@usgs.gov","orcid":"https://orcid.org/0000-0002-9592-4518","contributorId":3916,"corporation":false,"usgs":true,"family":"Elias","given":"Tamar","email":"telias@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelly, Peter J.","contributorId":72685,"corporation":false,"usgs":true,"family":"Kelly","given":"Peter J.","affiliations":[],"preferred":false,"id":469702,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70041641,"text":"70041641 - 2012 - Linking the historic 2011 Mississippi River flood to coastal wetland sedimentation","interactions":[],"lastModifiedDate":"2012-12-10T11:27:29","indexId":"70041641","displayToPublicDate":"2012-12-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Linking the historic 2011 Mississippi River flood to coastal wetland sedimentation","docAbstract":"Wetlands in the Mississippi River deltaic plain are deteriorating in part because levees and control structures starve them of sediment. In Spring of 2011 a record-breaking flood brought discharge on the lower Mississippi River to dangerous levels, forcing managers to divert up to 3500 m<sup>3</sup>/s<sup>-1</sup> of water to the Atchafalaya River Basin. Here we quantify differences between the Mississippi and Atchafalaya River inundation and sediment-plume patterns using field-calibrated satellite data, and assess the impact these outflows had on wetland sedimentation. We characterize hydrodynamics and suspended sediment patterns of the Mississippi River plume using <i>in-situ</i> data collected during the historic flood. We show that the focused, high-momentum jet from the leveed Mississippi delivered sediment far offshore. In contrast, the plume from the Atchafalaya was more diffuse; diverted water inundated a large area; and sediment was trapped within the coastal current. Maximum sedimentation (up to several centimetres) occurred in the Atchafalaya Basin despite the larger sediment load carried by the Mississippi. Minimum accumulation occurred along the shoreline between these river sources. Our findings provide a mechanistic link between river-mouth dynamics and wetland sedimentation patterns that is relevant for plans to restore deltaic wetlands using artificial diversions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","publisherLocation":"London, UK","doi":"10.1038/ngeo1615","usgsCitation":"Falcini, F., Khan, N., Macelloni, L., Horton, B.P., Lutken, C.B., McKee, K.L., Santoleri, R., Colella, S., Li, C., Volpe, G., D’Emidio, M., Salusti, A., and Jerolmack, D.J., 2012, Linking the historic 2011 Mississippi River flood to coastal wetland sedimentation: Nature Geoscience, v. 5, p. 803-807, https://doi.org/10.1038/ngeo1615.","productDescription":"5 p.","startPage":"803","endPage":"807","numberOfPages":"4","ipdsId":"IP-037659","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":263901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263900,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/ngeo1615"}],"country":"United States","otherGeospatial":"Atchafalaya River","volume":"5","noUsgsAuthors":false,"publicationDate":"2012-10-21","publicationStatus":"PW","scienceBaseUri":"50c70468e4b0ebb3997466d5","contributors":{"authors":[{"text":"Falcini, Federico","contributorId":10305,"corporation":false,"usgs":true,"family":"Falcini","given":"Federico","email":"","affiliations":[],"preferred":false,"id":470036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Khan, Nicole S.","contributorId":52466,"corporation":false,"usgs":true,"family":"Khan","given":"Nicole S.","affiliations":[],"preferred":false,"id":470037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macelloni, Leonardo","contributorId":78621,"corporation":false,"usgs":true,"family":"Macelloni","given":"Leonardo","email":"","affiliations":[],"preferred":false,"id":470043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horton, Benjamin P.","contributorId":63641,"corporation":false,"usgs":true,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":470039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lutken, Carol B.","contributorId":69433,"corporation":false,"usgs":true,"family":"Lutken","given":"Carol","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":470041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McKee, Karen L. 0000-0001-7042-670X","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":8927,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":470035,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Santoleri, Rosalia","contributorId":69434,"corporation":false,"usgs":true,"family":"Santoleri","given":"Rosalia","email":"","affiliations":[],"preferred":false,"id":470042,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Colella, Simone","contributorId":61309,"corporation":false,"usgs":true,"family":"Colella","given":"Simone","email":"","affiliations":[],"preferred":false,"id":470038,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Chunyan","contributorId":101163,"corporation":false,"usgs":true,"family":"Li","given":"Chunyan","email":"","affiliations":[],"preferred":false,"id":470047,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Volpe, Gianluca","contributorId":86656,"corporation":false,"usgs":true,"family":"Volpe","given":"Gianluca","email":"","affiliations":[],"preferred":false,"id":470045,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"D’Emidio, Marco","contributorId":94564,"corporation":false,"usgs":true,"family":"D’Emidio","given":"Marco","email":"","affiliations":[],"preferred":false,"id":470046,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Salusti, Alessandro","contributorId":68618,"corporation":false,"usgs":true,"family":"Salusti","given":"Alessandro","email":"","affiliations":[],"preferred":false,"id":470040,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jerolmack, Douglas J.","contributorId":78622,"corporation":false,"usgs":true,"family":"Jerolmack","given":"Douglas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":470044,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70041645,"text":"sir20125155 - 2012 - Yield of bedrock wells in the Nashoba terrane, central and eastern Massachusetts","interactions":[],"lastModifiedDate":"2018-04-03T11:29:07","indexId":"sir20125155","displayToPublicDate":"2012-12-10T00:00:00","publicationYear":"2012","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":"2012-5155","title":"Yield of bedrock wells in the Nashoba terrane, central and eastern Massachusetts","docAbstract":"The yield of bedrock wells in the fractured-bedrock aquifers of the Nashoba terrane and surrounding area, central and eastern Massachusetts, was investigated with analyses of existing data. Reported well yield was compiled for 7,287 wells from Massachusetts Department of Environmental Protection and U.S. Geological Survey databases. Yield of these wells ranged from 0.04 to 625 gallons per minute. In a comparison with data from 103 supply wells, yield and specific capacity from aquifer tests were well correlated, indicating that reported well yield was a reasonable measure of aquifer characteristics in the study area.\n\nStatistically significant relations were determined between well yield and a number of cultural and hydrogeologic factors. Cultural variables included intended water use, well depth, year of construction, and method of yield measurement. Bedrock geology, topography, surficial geology, and proximity to surface waters were statistically significant hydrogeologic factors. Yield of wells was higher in areas of granites, mafic intrusive rocks, and amphibolites than in areas of schists and gneisses or pelitic rocks; higher in valleys and low-slope areas than on hills, ridges, or high slopes; higher in areas overlain by stratified glacial deposits than in areas overlain by till; and higher in close proximity to streams, ponds, and wetlands than at greater distances from these surface-water features. Proximity to mapped faults and to lineaments from aerial photographs also were related to well yield by some measures in three quadrangles in the study area. Although the statistical significance of these relations was high, their predictive power was low, and these relations explained little of the variability in the well-yield data.\n\nSimilar results were determined from a multivariate regression analysis. Multivariate regression models for the Nashoba terrane and for a three-quadrangle subarea included, as significant variables, many of the cultural and hydrogeologic factors that were individually related to well yield, in ways that are consistent with conceptual understanding of their effects, but the models explained only 21 percent (regional model for the entire terrane) and 30 percent (quadrangle model) of the overall variance in yield. Moreover, most of the explained variance was due to well characteristics rather than hydrogeologic factors. Hydrogeologic factors such as topography and geology are likely important. However, the overall high variability in the well-yield data, which results from the high variability in aquifer hydraulic properties as well as from limitations of the dataset, would make it difficult to use hydrogeologic factors to predict well yield in the study area.\n\nGeostatistical analysis (variograms), on the other hand, indicated that, although highly variable, the well-yield data are spatially correlated. The spatial continuity appears greater in the northeast-southwest direction and less in the southeast-northwest direction, directions that are parallel and perpendicular, respectively, to the regional geologic structural trends. Geostatistical analysis (kriging), used to estimate yield values throughout the study area, identified regional-scale areas of higher and lower yield that may be related to regional structural features—in particular, to a northeast-southwest trending regional fault zone within the Nashoba terrane. It also would be difficult to use kriging to predict yield at specific locations, however, because of the spatial variability in yield, particularly at small scales. The regional-scale analyses in this study, both with hydrogeologic variables and geostatistics, provide a context for understanding the variability in well yield, rather a basis for precise predictions, and site-specific information would be needed to understand local conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125155","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection","usgsCitation":"DeSimone, L., and Barbaro, J.R., 2012, Yield of bedrock wells in the Nashoba terrane, central and eastern Massachusetts: U.S. Geological Survey Scientific Investigations Report 2012-5155, viii, 74 p., https://doi.org/10.3133/sir20125155.","productDescription":"viii, 74 p.","numberOfPages":"86","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":438798,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7PV6HTP","text":"USGS data release","linkHelpText":"Bedrock well yield, lineaments, and ancillary data in the Nashoba Terrane, central and eastern Massachusetts"},{"id":263904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5155.jpg"},{"id":263902,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5155/"},{"id":263903,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5155/pdf/sir2012-5155_508.pdf"}],"country":"United States","state":"Massachusetts","city":"Webster;Dudley;Newbury;Rowley;Salisbury;Worcester","otherGeospatial":"Sudbury River;Assabet River;Concord River;Blackstone River;Ipswich River;Parker River;French River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.0209,41.9962 ], [ -72.0209,42.8921 ], [ -70.675,42.8921 ], [ -70.675,41.9962 ], [ -72.0209,41.9962 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c70477e4b0ebb3997466d9","contributors":{"authors":[{"text":"DeSimone, Leslie A. 0000-0003-0774-9607 ldesimon@usgs.gov","orcid":"https://orcid.org/0000-0003-0774-9607","contributorId":176711,"corporation":false,"usgs":true,"family":"DeSimone","given":"Leslie A.","email":"ldesimon@usgs.gov","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":470049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbaro, Jeffrey R. 0000-0002-6107-2142 jrbarbar@usgs.gov","orcid":"https://orcid.org/0000-0002-6107-2142","contributorId":1626,"corporation":false,"usgs":true,"family":"Barbaro","given":"Jeffrey","email":"jrbarbar@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470048,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041622,"text":"ofr20121242 - 2012 - Geomorphic analysis of the river response to sedimentation downstream of Mount Rainier, Washington","interactions":[],"lastModifiedDate":"2012-12-08T15:28:14","indexId":"ofr20121242","displayToPublicDate":"2012-12-08T00:00:00","publicationYear":"2012","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":"2012-1242","title":"Geomorphic analysis of the river response to sedimentation downstream of Mount Rainier, Washington","docAbstract":"A study of the geomorphology of rivers draining Mount Rainier, Washington, was completed to identify sources of sediment to the river network; to identify important processes in the sediment delivery system; to assess current sediment loads in rivers draining Mount Rainier; to evaluate if there were trends in streamflow or sediment load since the early 20th century; and to assess how rates of sedimentation might continue into the future using published climate-change scenarios.\n\nRivers draining Mount Rainier carry heavy sediment loads sourced primarily from the volcano that cause acute aggradation in deposition reaches as far away as the Puget Lowland. Calculated yields ranged from 2,000 tonnes per square kilometer per year [(tonnes/km<sup>2</sup>)/yr] on the upper Nisqually River to 350 (tonnes/km<sup>2</sup>)/yr on the lower Puyallup River, notably larger than sediment yields of 50–200 (tonnes/km2)/yr typical for other Cascade Range rivers. These rivers can be assumed to be in a general state of sediment surplus. As a result, future aggradation rates will be largely influenced by the underlying hydrology carrying sediment downstream. The active-channel width of rivers directly draining Mount Rainier in 2009, used as a proxy for sediment released from Mount Rainier, changed little between 1965 and 1994 reflecting a climatic period that was relatively quiet hydrogeomorphically. From 1994 to 2009, a marked increase in geomorphic disturbance caused the active channels in many river reaches to widen. Comparing active-channel widths of glacier-draining rivers in 2009 to the distance of glacier retreat between 1913 and 1994 showed no correlation, suggesting that geomorphic disturbance in river reaches directly downstream of glaciers is not strongly governed by the degree of glacial retreat. In contrast, there was a correlation between active-channel width and the percentage of superglacier debris mantling the glacier, as measured in 1971. A conceptual model of sediment delivery processes from the mountain indicates that rockfalls, glaciers, debris flows, and main-stem flooding act sequentially to deliver sediment from Mount Rainier to river reaches in the Puget Lowland over decadal time scales. Greater-than-normal runoff was associated with cool phases of the Pacific Decadal Oscillation. Streamflow-gaging station data from four unregulated rivers directly draining Mount Rainier indicated no statistically significant trends of increasing peak flows over the course of the 20th century.\n\nThe total sediment load of the upper Nisqually River from 1945 to 2011 was determined to be 1,200,000±180,000 tonnes/yr. The suspended-sediment load in the lower Puyallup River at Puyallup, Washington, was 860,000±300,000 tonnes/yr between 1978 and 1994, but the long-term load for the Puyallup River likely is about 1,000,000±400,000 tonnes/yr. Using a coarse-resolution bedload transport relation, the long-term average bedload was estimated to be about 30,000 tonnes/yr in the lower White River near Auburn, Washington, which was four times greater than bedload in the Puyallup River and an order of magnitude greater than bedload in the Carbon River. Analyses indicate a general increase in the sediment loads in Mount Rainier rivers in the 1990s and 2000s relative to the time period from the 1960s to 1980s. Data are insufficient, however, to determine definitively if post-1990 increases in sediment production and transport from Mount Rainier represent a statistically significant increase relative to sediment-load values typical from Mount Rainier during the entire 20th century.\n\nOne-dimensional river-hydraulic and sediment-transport models simulated the entrainment, transport, attrition, and deposition of bed material. Simulations showed that bed-material loads were largest for the Nisqually River and smallest for the Carbon River. The models were used to simulate how increases in sediment supply to rivers transport through the river systems and affect lowland reaches. For each simulation, the input sediment pulse evolved through a combination of translation, dispersion, and attrition as it moved downstream. The characteristic transport times for the median sediment-size pulse to arrive downstream for the Nisqually, Carbon, Puyallup, and White Rivers were approximately 70, 300, 80, and 60 years, respectively.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121242","collaboration":"Prepared in cooperation with Pierce County Public Works and Utilities, Surface Water Management; and King County Department of Natural Resources and Parks, Water and Land Resources Division","usgsCitation":"Czuba, J., Magirl, C.S., Czuba, C.R., Curran, C.A., Johnson, K.H., Olsen, T.D., Kimball, H.K., and Gish, C.C., 2012, Geomorphic analysis of the river response to sedimentation downstream of Mount Rainier, Washington: U.S. Geological Survey Open-File Report 2012-1242, xii, 134 p.; col. ill.; maps (col.), https://doi.org/10.3133/ofr20121242.","productDescription":"xii, 134 p.; col. ill.; maps (col.)","startPage":"i","endPage":"134","numberOfPages":"150","additionalOnlineFiles":"N","ipdsId":"IP-040356","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":263870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1242.jpg"},{"id":263868,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1242/"},{"id":263869,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1242/pdf/ofr20121242.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Rainier","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.79,45.54 ], [ -124.79,49.0 ], [ -116.92,49.0 ], [ -116.92,45.54 ], [ -124.79,45.54 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c46187e4b0e44331d07168","contributors":{"authors":[{"text":"Czuba, Jonathan A.","contributorId":19917,"corporation":false,"usgs":true,"family":"Czuba","given":"Jonathan A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":469995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":469994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Kenneth H. johnson@usgs.gov","contributorId":3103,"corporation":false,"usgs":true,"family":"Johnson","given":"Kenneth","email":"johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469993,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olsen, Theresa D. 0000-0003-4099-4057 tdolsen@usgs.gov","orcid":"https://orcid.org/0000-0003-4099-4057","contributorId":1644,"corporation":false,"usgs":true,"family":"Olsen","given":"Theresa","email":"tdolsen@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469990,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kimball, Halley K.","contributorId":36431,"corporation":false,"usgs":true,"family":"Kimball","given":"Halley","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":469996,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gish, Casey C.","contributorId":55245,"corporation":false,"usgs":true,"family":"Gish","given":"Casey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":469997,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70041597,"text":"70041597 - 2012 - Palynological composition of a Lower Cretaceous South American tropical sequence: Climatic implications and diversity comparisons with other latitudes.","interactions":[],"lastModifiedDate":"2013-11-15T10:48:31","indexId":"70041597","displayToPublicDate":"2012-12-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":724,"text":"American Journal of Botany","active":true,"publicationSubtype":{"id":10}},"title":"Palynological composition of a Lower Cretaceous South American tropical sequence: Climatic implications and diversity comparisons with other latitudes.","docAbstract":"<i>Premise of the study</i>: Reconstruction of floristic patterns during the early diversification of angiosperms is impeded by the scarce fossil record, especially in tropical latitudes. Here we collected quantitative palynological data from a stratigraphic sequence in tropical South America to provide floristic and climatic insights into such tropical environments during the Early Cretaceous.\n\n<i>Methods</i>: We reconstructed the floristic composition of an Aptian-Albian tropical sequence from central Colombia using quantitative palynology (rarefied species richness and abundance) and used it to infer its predominant climatic conditions. Additionally, we compared our results with available quantitative data from three other sequences encompassing 70 floristic assemblages to determine latitudinal diversity patterns.\n\n<i>Key results</i>: Abundance of humidity indicators was higher than that of aridity indicators (61% vs. 10%). Additionally, we found an angiosperm latitudinal diversity gradient (LDG) for the Aptian, but not for the Albian, and an inverted LDG of the overall diversity for the Albian. Angiosperm species turnover during the Albian, however, was higher in humid tropics.\n\n<i>Conclusions</i>: There were humid climates in northwestern South America during the Aptian-Albian interval contrary to the widespread aridity expected for the tropical belt. The Albian inverted overall LDG is produced by a faster increase in per-sample angiosperm and pteridophyte diversity in temperate latitudes. However, humid tropical sequences had higher rates of floristic turnover suggesting a higher degree of morphological variation than in temperate regions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Journal of Botany","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Botanical Society of America","publisherLocation":"St. Louis, MO","doi":"10.3732/ajb.1200135","usgsCitation":"Mejia-Velasquez, P., Dilcher, D.L., Jaramillo, C., Fortini, L., and Manchester, S., 2012, Palynological composition of a Lower Cretaceous South American tropical sequence: Climatic implications and diversity comparisons with other latitudes.: American Journal of Botany, v. 99, no. 11, p. 1819-1827, https://doi.org/10.3732/ajb.1200135.","productDescription":"9 p.","startPage":"1819","endPage":"1827","ipdsId":"IP-041295","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":263887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263886,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3732/ajb.1200135"}],"otherGeospatial":"South America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0,-56.5 ], [ -94.0,13.1 ], [ -32.6,13.1 ], [ -32.6,-56.5 ], [ -94.0,-56.5 ] ] ] } } ] }","volume":"99","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c46194e4b0e44331d07174","contributors":{"authors":[{"text":"Mejia-Velasquez, Paula J.","contributorId":19447,"corporation":false,"usgs":true,"family":"Mejia-Velasquez","given":"Paula J.","affiliations":[],"preferred":false,"id":469965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dilcher, David L.","contributorId":32208,"corporation":false,"usgs":true,"family":"Dilcher","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaramillo, Carlos A.","contributorId":76610,"corporation":false,"usgs":true,"family":"Jaramillo","given":"Carlos A.","affiliations":[],"preferred":false,"id":469968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fortini, Lucas B.","contributorId":10693,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas B.","affiliations":[],"preferred":false,"id":469964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manchester, Steven R.","contributorId":24657,"corporation":false,"usgs":true,"family":"Manchester","given":"Steven R.","affiliations":[],"preferred":false,"id":469966,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}