{"pageNumber":"794","pageRowStart":"19825","pageSize":"25","recordCount":40754,"records":[{"id":70199995,"text":"70199995 - 2010 - Biological communities in San Francisco Bay track large‐scale climate forcing over the North Pacific","interactions":[],"lastModifiedDate":"2018-10-10T09:45:56","indexId":"70199995","displayToPublicDate":"2010-11-01T09:45:34","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Biological communities in San Francisco Bay track large‐scale climate forcing over the North Pacific","docAbstract":"<p><span>Long‐term observations show that fish and plankton populations in the ocean fluctuate in synchrony with large‐scale climate patterns, but similar evidence is lacking for estuaries because of shorter observational records. Marine fish and invertebrates have been sampled in San Francisco Bay since 1980 and exhibit large, unexplained population changes including record‐high abundances of common species after 1999. Our analysis shows that populations of demersal fish, crabs and shrimp covary with the Pacific Decadal Oscillation (PDO) and North Pacific Gyre Oscillation (NPGO), both of which reversed signs in 1999. A time series model forced by the atmospheric driver of NPGO accounts for two‐thirds of the variability in the first principal component of species abundances, and generalized linear models forced by PDO and NPGO account for most of the annual variability of individual species. We infer that synchronous shifts in climate patterns and community variability in San Francisco Bay are related to changes in oceanic wind forcing that modify coastal currents, upwelling intensity, surface temperature, and their influence on recruitment of marine species that utilize estuaries as nursery habitat. Ecological forecasts of estuarine responses to climate change must therefore consider how altered patterns of atmospheric forcing across ocean basins influence coastal oceanography as well as watershed hydrology.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010GL044774","usgsCitation":"Cloern, J.E., Hieb, K., Jacobson, T., Sanso, B., Di Lorenzo, E., Stacey, M., Largier, J.L., Meiring, W., Peterson, W.T., Powell, T.M., Winder, M., and Jassby, A.D., 2010, Biological communities in San Francisco Bay track large‐scale climate forcing over the North Pacific: Geophysical Research Letters, v. 37, no. 21, 6 p., https://doi.org/10.1029/2010GL044774.","productDescription":"6 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475646,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl044774","text":"Publisher Index Page"},{"id":358233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","volume":"37","issue":"21","noUsgsAuthors":false,"publicationDate":"2010-11-06","publicationStatus":"PW","scienceBaseUri":"5c10c635e4b034bf6a7f3b17","contributors":{"authors":[{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":747660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hieb, Kathryn","contributorId":174609,"corporation":false,"usgs":false,"family":"Hieb","given":"Kathryn","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":747661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacobson, Teresa","contributorId":208549,"corporation":false,"usgs":false,"family":"Jacobson","given":"Teresa","email":"","affiliations":[],"preferred":false,"id":747662,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanso, Bruno","contributorId":208550,"corporation":false,"usgs":false,"family":"Sanso","given":"Bruno","email":"","affiliations":[],"preferred":false,"id":747663,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Di Lorenzo, Emanuele","contributorId":203861,"corporation":false,"usgs":false,"family":"Di Lorenzo","given":"Emanuele","email":"","affiliations":[{"id":36732,"text":"School of Earth & Atmospheric Sciences, Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":747664,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stacey, Mark T.","contributorId":13367,"corporation":false,"usgs":true,"family":"Stacey","given":"Mark T.","affiliations":[],"preferred":false,"id":747665,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Largier, John L.","contributorId":175121,"corporation":false,"usgs":false,"family":"Largier","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":747666,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meiring, Wendy","contributorId":208551,"corporation":false,"usgs":false,"family":"Meiring","given":"Wendy","email":"","affiliations":[],"preferred":false,"id":747667,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Peterson, William T","contributorId":195103,"corporation":false,"usgs":false,"family":"Peterson","given":"William","email":"","middleInitial":"T","affiliations":[],"preferred":false,"id":747668,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Powell, Thomas M.","contributorId":173317,"corporation":false,"usgs":false,"family":"Powell","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":747669,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Winder, Monika","contributorId":196556,"corporation":false,"usgs":false,"family":"Winder","given":"Monika","email":"","affiliations":[],"preferred":false,"id":747670,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jassby, Alan D.","contributorId":66403,"corporation":false,"usgs":true,"family":"Jassby","given":"Alan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":747671,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70200648,"text":"70200648 - 2010 - Thermal constraints to the sporogonic development and altitudinal distribution of avian malaria Plasmodium relictum in Hawai'i","interactions":[],"lastModifiedDate":"2020-10-22T20:08:12.315957","indexId":"70200648","displayToPublicDate":"2010-10-31T10:20:36","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2414,"text":"Journal of Parasitology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Thermal constraints to the sporogonic development and altitudinal distribution of avian malaria <i>Plasmodium relictum </i> in Hawai'i","title":"Thermal constraints to the sporogonic development and altitudinal distribution of avian malaria Plasmodium relictum in Hawai'i","docAbstract":"<p><span>More than half of the Hawaiian honeycreepers (Drepanidinae) known from historical records are now extinct. Introduced mosquito-borne disease, in particular the avian malaria&nbsp;</span><i><span class=\"genus-species\">Plasmodium relictum</span></i><span>, has been incriminated as a leading cause of extinction during the 20th century and a major limiting factor in the recovery of remaining species populations. Today, most native Hawaiian bird species reach their highest densities and diversity in high elevation (&gt;1,800&nbsp;m above sea level) forests. We determined the thermal requirements for sporogonic development of&nbsp;</span><i><span class=\"genus-species\">P. relictum</span></i><span>&nbsp;in the natural vector,&nbsp;</span><i><span class=\"genus-species\">Culex quinquefasciatus</span></i><span>, and assessed the current distribution of native bird species in light of this information. Sporogonic development was completed at constant laboratory and mean field temperatures between 30 and 17&nbsp;C, but development, prevalence, and intensity decreased significantly below 21&nbsp;C. Using a degree-day (DD) model, we estimated a minimum threshold temperature of 12.97&nbsp;C and a thermal requirement of 86.2 DD as necessary to complete development. Predicted (adiabatic lapse-rate) and observed summer threshold isotherm (13&nbsp;C) correspond to the elevation of high forest refuges on the islands of Maui and Hawai'i. Our data support the hypothesis that avian malaria currently restricts the altitudinal distribution of Hawaiian honeycreeper populations and provide an ecological explanation for the absence of disease at high elevation.</span></p>","language":"English","publisher":"American Society of Parasitologists","doi":"10.1645/GE-2290.1","usgsCitation":"Lapointe, D., Goff, M., and Atkinson, C.T., 2010, Thermal constraints to the sporogonic development and altitudinal distribution of avian malaria Plasmodium relictum in Hawai'i: Journal of Parasitology, v. 96, no. 2, p. 318-324, https://doi.org/10.1645/GE-2290.1.","productDescription":"7 p.","startPage":"318","endPage":"324","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":358837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"96","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10c635e4b034bf6a7f3b1f","contributors":{"authors":[{"text":"LaPointe, Dennis A. 0000-0002-6323-263X dlapointe@usgs.gov","orcid":"https://orcid.org/0000-0002-6323-263X","contributorId":150365,"corporation":false,"usgs":true,"family":"LaPointe","given":"Dennis","email":"dlapointe@usgs.gov","middleInitial":"A.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":749950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goff, M.L.","contributorId":102432,"corporation":false,"usgs":true,"family":"Goff","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":749951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749952,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98853,"text":"sir20105090a - 2010 - Global mineral resource assessment: porphyry copper assessment of Mexico: Chapter A in <i>Global mineral resource assessment</i>","interactions":[{"subject":{"id":98853,"text":"sir20105090a - 2010 - Global mineral resource assessment: porphyry copper assessment of Mexico: Chapter A in <i>Global mineral resource assessment</i>","indexId":"sir20105090a","publicationYear":"2010","noYear":false,"chapter":"A","title":"Global mineral resource assessment: porphyry copper assessment of Mexico: Chapter A in <i>Global mineral resource assessment</i>"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2020-08-18T22:41:02.745365","indexId":"sir20105090a","displayToPublicDate":"2010-10-30T00:00:00","publicationYear":"2010","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":"2010-5090","chapter":"A","title":"Global mineral resource assessment: porphyry copper assessment of Mexico: Chapter A in <i>Global mineral resource assessment</i>","docAbstract":"<p>Mineral resource assessments provide a synthesis of available information about distributions of mineral deposits in the Earth&rsquo;s crust. A probabilistic mineral resource assessment of undiscovered resources in porphyry copper deposits in Mexico was done as part of a global mineral resource assessment. The purpose of the study was to (1) delineate permissive areas (tracts) for undiscovered porphyry copper deposits within 1 km of the surface at a scale of 1:1,000,000; (2) provide a database of known porphyry copper deposits and significant prospects; (3) estimate numbers of undiscovered deposits within those permissive tracts; and (4) provide probabilistic estimates of amounts of copper (Cu), molybdenum (Mo), gold (Au), and silver (Ag) that could be contained in undiscovered deposits for each permissive tract. The assessment was conducted using a three-part form of mineral resource assessment based on mineral deposit models (Singer, 1993). Delineation of permissive tracts primarily was based on distributions of mapped igneous rocks related to magmatic arcs that formed in tectonic settings associated with subduction boundary zones. Using a GIS, map units were selected from digital geologic maps based on lithology and age to delineate twelve permissive tracts associated with Jurassic, Laramide (~90 to 34 Ma), and younger Tertiary magmatic arcs. Stream-sediment geochemistry, mapped alteration, regional aeromagnetic data, and exploration history were considered in conjunction with descriptive deposit models and grade and tonnage models to guide estimates.</p>\n<p>The 12 permissive tracts delineated for this assessment are grouped by age (Jurassic-Early Cretaceous, Laramide (~90 to 34 Ma), Tertiary) and range in size from ~3,000 to 184,000 km<sup>2</sup>. Probabilistic estimates of numbers of undiscovered deposits were made for 10 tracts. A qualitative discussion is included for one Jurassic tract that extends into the U.S. from northern Mexico, and a preliminary outline of the northernmost part of a Tertiary tract that continues well to the south of Mexico is included in summary figures for reference.</p>\n<p>This assessment estimates that 39 undiscovered deposits contain an arithmetic mean estimate of ~144 million metric tons of copper or more in ten tracts for which probabilistic estimates were made, in addition to 21 porphyry copper deposits that contain identified resources of ~52 million metric tons of copper. Approximately 70 percent of the estimated mean undiscovered copper resources are associated with permissive tracts that contain identified resources; the remaining estimated resources are associated with permissive tracts with no reported porphyry copper resources. In addition to copper, the mean expected values of undiscovered byproduct resources predicted by the simulation are ~4 million metric tons of molybdenum, ~48 thousand metric tons of silver, and 4 thousand metric tons of gold. The probability associated with these arithmetic means is on the order of 30 percent. Median expected amounts of metals predicted by the simulations may be ~50 percent lower than mean estimates, and in some cases, zero.</p>\n<p>For tracts that contain identified resources, the ratios of undiscovered to identified copper resources indicate that:</p>\n<ul>\n<li>Jurassic-Early Cretaceous tracts MX-J1 and MX-J2 contain fewer estimated undiscovered copper resources (ratios &lt;1) than identified resources;</li>\n<li>Laramide tract MX-L1 may contain significantly more copper than has been identified;</li>\n<li>Laramide tract MX-L2, the tract that contains most of the known deposits in Mexico, including the world-class deposits at Cananea and La Caridad, may contain about as much copper, molybdenum, and silver in undiscovered deposits and more gold than has been identified;</li>\n<li>Tertiary tracts MX-T1 and MX-T2, where no porphyry copper deposits are known, may contain undiscovered deposits;</li>\n<li>Tertiary tract MX-T3 may contain about three times more copper than has been identified; and</li>\n<li>Permissive tracts with no known deposits (MX-J3, MX-J5, MX-L3, MX-T1, MX-T2) contain approximately 30 percent of the total estimated undiscovered copper resources.</li>\n</ul>\n<p>Most porphyry copper exploration in Mexico focused on the exposed northern parts of the Laramide arc. This assessment suggests that the exposed and shallowly buried (&lt;1 km) parts of the Laramide and Tertiary arcs delineated as permissive tracts are more likely to contain undiscovered deposits than are older (Jurassic-Early Cretaceous) arc segments. Interest in gold has prompted exploration of historical precious metal prospects and small mines in Mexico, some of which may represent high-sulfidation epithermal systems overlying or adjacent to porphyry copper systems.</p>\n<p>This report includes a brief overview of porphyry copper deposits in Mexico, a description of the assessment process used, a summary of results, and appendixes. Appendixes A through K contain summary information for each tract, as follows: location, the geologic feature assessed, the rationale for tract delineation, tables and descriptions of known deposits and significant prospects, exploration history, model selection, rationale for the estimates, assessment results, and references. The accompanying digital map files (shapefiles) provide permissive tract outlines, assessment results, and data for deposits and prospects in a GIS format (appendix L).</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Global mineral resource assessment (Scientific Investigations Report 2010-5090)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090a","collaboration":"Prepared in cooperation with the Servicio Geológico Mexicano","usgsCitation":"Hammarstrom, J.M., Robinson, G.R., Ludington, S., Gray, F., Drenth, B.J., Cendejas-Cruz, F., Espinosa, E., Perez-Segura, E., Valencia-Moreno, M., Rodriguez-Castaneda, J.L., Vasquez-Mendoza, R., and Zürcher, L., 2010, Global mineral resource assessment: porphyry copper assessment of Mexico: Chapter A in <i>Global mineral resource assessment</i>: U.S. Geological Survey Scientific Investigations Report 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Jr. grobinso@usgs.gov","contributorId":3083,"corporation":false,"usgs":true,"family":"Robinson","given":"Gilpin","suffix":"Jr.","email":"grobinso@usgs.gov","middleInitial":"R.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":306710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ludington, Steve","contributorId":106848,"corporation":false,"usgs":true,"family":"Ludington","given":"Steve","affiliations":[],"preferred":false,"id":306718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":306707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":306709,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cendejas-Cruz, Francisco","contributorId":58605,"corporation":false,"usgs":true,"family":"Cendejas-Cruz","given":"Francisco","email":"","affiliations":[],"preferred":false,"id":306712,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Espinosa, Enrique","contributorId":99516,"corporation":false,"usgs":true,"family":"Espinosa","given":"Enrique","email":"","affiliations":[],"preferred":false,"id":306716,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Perez-Segura, Efren","contributorId":106450,"corporation":false,"usgs":true,"family":"Perez-Segura","given":"Efren","email":"","affiliations":[],"preferred":false,"id":306717,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Valencia-Moreno, Martin","contributorId":63354,"corporation":false,"usgs":true,"family":"Valencia-Moreno","given":"Martin","email":"","affiliations":[],"preferred":false,"id":306713,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rodriguez-Castaneda, Jose Luis","contributorId":89851,"corporation":false,"usgs":true,"family":"Rodriguez-Castaneda","given":"Jose","email":"","middleInitial":"Luis","affiliations":[],"preferred":false,"id":306715,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Vasquez-Mendoza, Rigobert","contributorId":46474,"corporation":false,"usgs":true,"family":"Vasquez-Mendoza","given":"Rigobert","email":"","affiliations":[],"preferred":false,"id":306711,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zürcher, Lukas 0000-0001-5575-1192","orcid":"https://orcid.org/0000-0001-5575-1192","contributorId":89101,"corporation":false,"usgs":true,"family":"Zürcher","given":"Lukas","affiliations":[],"preferred":false,"id":306714,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":98850,"text":"sir20105201 - 2010 - Empirical models of wind conditions on Upper Klamath Lake, Oregon","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105201","displayToPublicDate":"2010-10-29T00:00:00","publicationYear":"2010","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":"2010-5201","title":"Empirical models of wind conditions on Upper Klamath Lake, Oregon","docAbstract":"Upper Klamath Lake is a large (230 square kilometers), shallow (mean depth 2.8 meters at full pool) lake in southern Oregon. Lake circulation patterns are driven largely by wind, and the resulting currents affect the water quality and ecology of the lake. To support hydrodynamic modeling of the lake and statistical investigations of the relation between wind and lake water-quality measurements, the U.S. Geological Survey has monitored wind conditions along the lakeshore and at floating raft sites in the middle of the lake since 2005. In order to make the existing wind archive more useful, this report summarizes the development of empirical wind models that serve two purposes: (1) to fill short (on the order of hours or days) wind data gaps at raft sites in the middle of the lake, and (2) to reconstruct, on a daily basis, over periods of months to years, historical wind conditions at U.S. Geological Survey sites prior to 2005. Empirical wind models based on Artificial Neural Network (ANN) and Multivariate-Adaptive Regressive Splines (MARS) algorithms were compared. ANNs were better suited to simulating the 10-minute wind data that are the dependent variables of the gap-filling models, but the simpler MARS algorithm may be adequate to accurately simulate the daily wind data that are the dependent variables of the historical wind models. To further test the accuracy of the gap-filling models, the resulting simulated winds were used to force the hydrodynamic model of the lake, and the resulting simulated currents were compared to measurements from an acoustic Doppler current profiler. The error statistics indicated that the simulation of currents was degraded as compared to when the model was forced with observed winds, but probably is adequate for short gaps in the data of a few days or less. Transport seems to be less affected by the use of the simulated winds in place of observed winds. The simulated tracer concentration was similar between model results when simulated winds were used to force the model, and when observed winds were used to force the model, and differences between the two results did not accumulate over time. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105201","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Buccola, N., and Wood, T.M., 2010, Empirical models of wind conditions on Upper Klamath Lake, Oregon: U.S. Geological Survey Scientific Investigations Report 2010-5201, vi, 25 p.;Dowload folders: Title page; Table of contents; List of figures; List of tables, https://doi.org/10.3133/sir20105201.","productDescription":"vi, 25 p.;Dowload folders: Title page; Table of contents; List of figures; List of tables","additionalOnlineFiles":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":126039,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5201.jpg"},{"id":14261,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5201/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.16666666666667,42.166666666666664 ], [ -122.16666666666667,42.666666666666664 ], [ -121.66666666666667,42.666666666666664 ], [ -121.66666666666667,42.166666666666664 ], [ -122.16666666666667,42.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db604505","contributors":{"authors":[{"text":"Buccola, Norman L. nbuccola@usgs.gov","contributorId":4295,"corporation":false,"usgs":true,"family":"Buccola","given":"Norman L.","email":"nbuccola@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":306701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Tamara M. 0000-0001-6057-8080 tmwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6057-8080","contributorId":1164,"corporation":false,"usgs":true,"family":"Wood","given":"Tamara","email":"tmwood@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306700,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98852,"text":"sim3134 - 2010 - Geologic map of the Maumee quadrangle, Searcy and Marion Counties, Arkansas","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"sim3134","displayToPublicDate":"2010-10-29T00:00:00","publicationYear":"2010","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":"3134","title":"Geologic map of the Maumee quadrangle, Searcy and Marion Counties, Arkansas","docAbstract":"This map summarizes the geology of the Maumee 7.5-minute quadrangle in northern Arkansas. The map area is in the Ozark plateaus region on the southern flank of the Ozark dome. The Springfield Plateau, composed of Mississippian cherty limestone, overlies the Salem Plateau, composed of Ordovician carbonate and clastic rocks, with areas of Silurian rocks in between. Erosion related to the Buffalo River and its tributaries, Tomahawk, Water, and Dry Creeks, has exposed a 1,200-ft-thick section of Mississippian, Silurian, and Ordovician rocks mildly deformed by faults and folds. An approximately 130-mile-long corridor along the Buffalo River forms the Buffalo National River that is administered by the National Park Service.\r\n\r\nMcKnight (1935) mapped the geology of the Maumee quadrangle as part of a larger 1:125,000-scale map focused on understanding the lead and zinc deposits common in the area. Detailed new mapping for this study was compiled using a Geographic Information System (GIS) at 1:24,000 scale. Site location and elevation were obtained by using a Global Positioning Satellite (GPS) receiver in conjunction with a U.S. Geological Survey 7.5-minute topographic map and barometric altimeter. U.S. Geological Survey 10-m digital elevation model data were used to derive a hill-shade-relief map used along with digital orthophotographs to map ledge-forming units between field sites. Bedding attitudes were measured in drainage bottoms and on well-exposed ledges. Bedding measured at less than 2 degree dip is indicated as horizontal. Structure contours constructed for the base of the Boone Formation are constrained by field-determined elevations on both upper and lower formation contacts.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3134","usgsCitation":"Turner, K.J., and Hudson, M., 2010, Geologic map of the Maumee quadrangle, Searcy and Marion Counties, Arkansas: U.S. Geological Survey Scientific Investigations Map 3134, PDF Map: 52.63 inches x 32.88 inches; Dowloads Directory, https://doi.org/10.3133/sim3134.","productDescription":"PDF Map: 52.63 inches x 32.88 inches; Dowloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":246707,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94466.htm","linkFileType":{"id":5,"text":"html"},"description":"94466"},{"id":126040,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3134.jpg"},{"id":14264,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3134/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.75,36 ], [ -92.75,36.1175 ], [ -92.61749999999999,36.1175 ], [ -92.61749999999999,36 ], [ -92.75,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67ea03","contributors":{"authors":[{"text":"Turner, Kenzie J. 0000-0002-4940-3981 kturner@usgs.gov","orcid":"https://orcid.org/0000-0002-4940-3981","contributorId":496,"corporation":false,"usgs":true,"family":"Turner","given":"Kenzie","email":"kturner@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":306705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Mark R. 0000-0003-0338-6079 mhudson@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-6079","contributorId":1236,"corporation":false,"usgs":true,"family":"Hudson","given":"Mark R.","email":"mhudson@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":306706,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98851,"text":"sir20105181 - 2010 - Constituent concentrations, loads, and yields to Beaver Lake, Arkansas, water years 1999-2008","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"sir20105181","displayToPublicDate":"2010-10-29T00:00:00","publicationYear":"2010","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":"2010-5181","title":"Constituent concentrations, loads, and yields to Beaver Lake, Arkansas, water years 1999-2008","docAbstract":"Beaver Lake is a large, deep-storage reservoir used as a drinking-water supply and considered a primary watershed of concern in the State of Arkansas. As such, information is needed to assess water quality, especially nutrient enrichment, nutrient-algal relations, turbidity, and sediment issues within the reservoir system. Water-quality samples were collected at three main inflows to Beaver Lake: the White River near Fayetteville, Richland Creek at Goshen, and War Eagle Creek near Hindsville. Water-quality samples collected over the period represented different flow conditions (from low to high). Constituent concentrations, flow-weighted concentrations, loads, and yields from White River, Richland Creek, and War Eagle Creek to Beaver Lake for water years 1999-2008 were documented for this report. Constituents include total ammonia plus organic nitrogen, dissolved nitrite plus nitrate nitrogen, dissolved orthophosphorus (soluble reactive phosphorus), total phosphorus, total nitrogen, dissolved organic carbon, total organic carbon, and suspended sediment. Linear regression models developed by computer program S-LOADEST were used to estimate loads for each constituent for the 10-year period at each station. Constituent yields and flow-weighted concentrations for each of the three stations were calculated for the study.\r\n\r\nConstituent concentrations and loads and yields varied with time and varied among the three tributaries contributing to Beaver Lake. These differences can result from differences in precipitation, land use, contributions of nutrients from point sources, and variations in basin size. Load and yield estimates varied yearly during the study period, water years 1999-2008, with the least nutrient and sediment load and yields generally occurring in water year 2006, and the greatest occurring in water year 2008, during a year with record amounts of precipitation. Flow-weighted concentrations of most constituents were greatest at War Eagle Creek near Hindsville than White River near Fayetteville and Richland Creek at Goshen. Loads and yields of most constituents were greater at the War Eagle Creek and White River stations than at the Richland Creek Station.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105181","collaboration":"Prepared in cooperation with the Beaver Water District\r\n","usgsCitation":"Bolyard, S., De Lanois, J.L., and Green, W.R., 2010, Constituent concentrations, loads, and yields to Beaver Lake, Arkansas, water years 1999-2008: U.S. Geological Survey Scientific Investigations Report 2010-5181, ix, 33 p.; Appendices, https://doi.org/10.3133/sir20105181.","productDescription":"ix, 33 p.; Appendices","onlineOnly":"Y","temporalStart":"1998-10-01","temporalEnd":"2008-09-30","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":126038,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5181.jpg"},{"id":14262,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5181/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.25,35.25 ], [ -94.25,36.46666666666667 ], [ -93.41666666666667,36.46666666666667 ], [ -93.41666666666667,35.25 ], [ -94.25,35.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db6983a3","contributors":{"authors":[{"text":"Bolyard, Susan E.","contributorId":47321,"corporation":false,"usgs":true,"family":"Bolyard","given":"Susan E.","affiliations":[],"preferred":false,"id":306703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Lanois, Jeanne L. jdelanoi@usgs.gov","contributorId":4672,"corporation":false,"usgs":true,"family":"De Lanois","given":"Jeanne","email":"jdelanoi@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":306702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, W. Reed","contributorId":87886,"corporation":false,"usgs":true,"family":"Green","given":"W.","email":"","middleInitial":"Reed","affiliations":[],"preferred":false,"id":306704,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98849,"text":"sir20105114 - 2010 - Estimation of the effects of land use and groundwater withdrawals on streamflow for the Pomperaug River, Connecticut","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105114","displayToPublicDate":"2010-10-28T00:00:00","publicationYear":"2010","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":"2010-5114","title":"Estimation of the effects of land use and groundwater withdrawals on streamflow for the Pomperaug River, Connecticut","docAbstract":"A precipitation runoff model for the Pomperaug River watershed, Connecticut was developed to address issues of concern including the effect of development on streamflow and groundwater recharge, and the implications of water withdrawals on streamflow. The model was parameterized using a strategy that requires a minimum of calibration and optimization by establishing basic relations between the parameter value and physical characteristics of individual hydrologic response units (HRUs) that comprise the model. The strategy was devised so that the information needed can be obtained from Geographic Information System and other general databases for Connecticut. Simulation of groundwater recharge enabled evaluation of the temporal and spatial mapping of recharge variation across the watershed and the spatial effects of changes in land cover on base flow and surface runoff.\r\n\r\nThe modeling indicated that over the course of a year, groundwater provides between 60 and 70 percent of flow in the Pomperaug River; the remainder is generated by more rapid flow through the shallow subsurface and runoff from impermeable surfaces and saturated ground. Groundwater is recharged primarily during periods of low evapotranspiration in the winter, spring, and fall. The largest amount of recharge occurs in the spring in response to snowmelt. During floods, the Weekeepeemee and Nonnewaug Rivers (tributaries that form the Pomperaug River) respond rapidly with little flood peak attenuation due to flood-plain storage. In the Pomperaug River, flood-plain storage is more important in attenuating floods; abandoned quarry ponds (O&G ponds) adjacent to the river provide substantial flood storage above specific river stages when flow from the river spills over the banks and fills the ponds. Discharge from the ponds also helps to sustain low flows in the Pomperaug River. Similarly, releases from the Bronson-Lockwood reservoir sustain flow in the Nonnewaug River and tend to offset the effect of groundwater withdrawals from a well field adjacent to the river during periods of natural low flow.\r\n\r\nThe model indicated that under the current zoning, future development could reduce low flows by as much as 10 percent at the 99 percent exceedance level (99 percent of flows are greater than or equal to this flow), but would not substantially increase the highest flows. Simulation of projected and hypothetical development in the watershed shows, depending on how stormwater is managed, that between 10 and 20 percent effective impervious area in an HRU results in streamflow becoming dominated by the surface-runoff component. This shift from a groundwater-dominated system would likely result in substantial changes in water quality and instream habitat characteristics of the river.\r\n\r\nBase flow to streams in the Pomperaug River watershed is reduced by both increased impervious surface and increased groundwater withdrawals. For the watershed as a whole, increasing groundwater withdrawals have the potential for causing greater overall reductions in flow compared to increased development and impervious surfaces. Additionally, on the basis of groundwater-modeling simulations, the projected increase in development across the watershed and, to a lesser extent the increase in groundwater withdrawals, will increase the number of local losing reaches experiencing dry conditions and the duration of these dry periods. The location of the losing reaches tends to be in areas near the transition from the uplands to the valley bottoms that are filled with coarse glacial stratified deposits. The simulated increase in the duration and extent of localized dry stream reaches is most sensitive to local increase in impervious surface.\r\n\r\nConversion of land from forest or developed land cover to pasture or agricultural land increases groundwater recharge and discharge to streams, while at the same time increasing overall streamflow (the opposite effect as increased impervious surface). These resu","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105114","collaboration":"Prepared in cooperation with the Pomperaug River Watershed Coalition and the Town of Woodbury, Connecticut\r\n","usgsCitation":"Bjerklie, D.M., Starn, J.J., and Tamayo, C., 2010, Estimation of the effects of land use and groundwater withdrawals on streamflow for the Pomperaug River, Connecticut: U.S. Geological Survey Scientific Investigations Report 2010-5114, vii, 77 p.; Table, https://doi.org/10.3133/sir20105114.","productDescription":"vii, 77 p.; Table","additionalOnlineFiles":"N","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":126051,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5114.jpg"},{"id":14260,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5114/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.75,41 ], [ -73.75,42 ], [ -71.75,42 ], [ -71.75,41 ], [ -73.75,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fb1ea","contributors":{"authors":[{"text":"Bjerklie, David M. 0000-0002-9890-4125 dmbjerkl@usgs.gov","orcid":"https://orcid.org/0000-0002-9890-4125","contributorId":3589,"corporation":false,"usgs":true,"family":"Bjerklie","given":"David","email":"dmbjerkl@usgs.gov","middleInitial":"M.","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starn, J. Jeffrey","contributorId":101617,"corporation":false,"usgs":true,"family":"Starn","given":"J.","email":"","middleInitial":"Jeffrey","affiliations":[],"preferred":false,"id":306699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tamayo, Claudia","contributorId":88705,"corporation":false,"usgs":true,"family":"Tamayo","given":"Claudia","email":"","affiliations":[],"preferred":false,"id":306698,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98846,"text":"fs20103084 - 2010 - Groundwater availability study for Guam; goals, approach, products, and schedule of activities","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"fs20103084","displayToPublicDate":"2010-10-28T00:00:00","publicationYear":"2010","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":"2010-3084","title":"Groundwater availability study for Guam; goals, approach, products, and schedule of activities","docAbstract":"An expected significant population increase on Guam has raised concern about the sustainability of groundwater resources. In response, the U.S. Geological Survey (USGS), in collaboration with the University of Guam's Water and Environmental Research Institute of the Western Pacific (WERI) and with funding from the U.S. Marine Corps (USMC), is conducting a 3.5-year study to advance understanding of regional groundwater dynamics in the Northern Guam Lens Aquifer, provide a new estimate of groundwater recharge, and develop a numerical groundwater flow and transport model for northern Guam. Results of the study, including two USGS reports and a well database, will provide more reliable evaluations of the potential effects of groundwater production and help guide sustainable management of this critical resource. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103084","collaboration":"In collaboration with the Water and Environmental Research Institute of the Western Pacific (WERI), University of Guam","usgsCitation":"Gingerich, S.B., and Jenson, J.W., 2010, Groundwater availability study for Guam; goals, approach, products, and schedule of activities: U.S. Geological Survey Fact Sheet 2010-3084, 4 p., https://doi.org/10.3133/fs20103084.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":126053,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3084.jpg"},{"id":14257,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3084/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.63333333333333,13.166666666666666 ], [ 144.63333333333333,13.75 ], [ 145,13.75 ], [ 145,13.166666666666666 ], [ 144.63333333333333,13.166666666666666 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64b508","contributors":{"authors":[{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenson, John W.","contributorId":23112,"corporation":false,"usgs":true,"family":"Jenson","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":306679,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98847,"text":"ofr20101262 - 2010 - Nogales flood detention study","interactions":[],"lastModifiedDate":"2012-02-02T00:04:47","indexId":"ofr20101262","displayToPublicDate":"2010-10-28T00:00:00","publicationYear":"2010","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":"2010-1262","title":"Nogales flood detention study","docAbstract":"Flooding in Ambos Nogales often exceeds the capacity of the channel and adjacent land areas, endangering many people. The Nogales Wash is being studied to prevent future flood disasters and detention features are being installed in tributaries of the wash. This paper describes the application of the KINEROS2 model and efforts to understand the capacity of these detention features under various flood and urbanization scenarios. Results depict a reduction in peak flow for the 10-year, 1-hour event based on current land use in tributaries with detention features. However, model results also demonstrate that larger storm events and increasing urbanization will put a strain on the features and limit their effectiveness. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101262","usgsCitation":"Norman, L.M., Levick, L., Guertin, D.P., Callegary, J., Guadarrama, J.Q., Anaya, C.Z., Prichard, A., Gray, F., Castellanos, E., Tepezano, E., Huth, H., Vandervoet, P., Rodriguez, S., Nunez, J., Atwood, D., Granillo, G.P., and Ceballos, F.O., 2010, Nogales flood detention study: U.S. Geological Survey Open-File Report 2010-1262, vi, 23 p.; Appendices; Download Appendix B folder, https://doi.org/10.3133/ofr20101262.","productDescription":"vi, 23 p.; Appendices; Download Appendix B folder","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":126050,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1262.jpg"},{"id":14258,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1262/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afde4b07f02db6971f2","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":306681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Levick, Lainie","contributorId":50871,"corporation":false,"usgs":true,"family":"Levick","given":"Lainie","affiliations":[],"preferred":false,"id":306692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guertin, D. Phillip","contributorId":46062,"corporation":false,"usgs":false,"family":"Guertin","given":"D.","email":"","middleInitial":"Phillip","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":306690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Callegary, James","contributorId":62558,"corporation":false,"usgs":true,"family":"Callegary","given":"James","affiliations":[],"preferred":false,"id":306693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guadarrama, Jesus Quintanar","contributorId":29376,"corporation":false,"usgs":true,"family":"Guadarrama","given":"Jesus","email":"","middleInitial":"Quintanar","affiliations":[],"preferred":false,"id":306686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anaya, Claudia Zulema Gil","contributorId":30202,"corporation":false,"usgs":true,"family":"Anaya","given":"Claudia","email":"","middleInitial":"Zulema Gil","affiliations":[],"preferred":false,"id":306687,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prichard, Andrea","contributorId":97869,"corporation":false,"usgs":true,"family":"Prichard","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":306696,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":306680,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Castellanos, Edgar","contributorId":24749,"corporation":false,"usgs":true,"family":"Castellanos","given":"Edgar","email":"","affiliations":[],"preferred":false,"id":306685,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tepezano, Edgar","contributorId":17958,"corporation":false,"usgs":true,"family":"Tepezano","given":"Edgar","email":"","affiliations":[],"preferred":false,"id":306684,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Huth, Hans","contributorId":9220,"corporation":false,"usgs":true,"family":"Huth","given":"Hans","email":"","affiliations":[],"preferred":false,"id":306682,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Vandervoet, Prescott","contributorId":85932,"corporation":false,"usgs":true,"family":"Vandervoet","given":"Prescott","email":"","affiliations":[],"preferred":false,"id":306695,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rodriguez, Saul","contributorId":38948,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Saul","email":"","affiliations":[],"preferred":false,"id":306689,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Nunez, Jose","contributorId":34100,"corporation":false,"usgs":true,"family":"Nunez","given":"Jose","email":"","affiliations":[],"preferred":false,"id":306688,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Atwood, Donald","contributorId":15161,"corporation":false,"usgs":true,"family":"Atwood","given":"Donald","email":"","affiliations":[],"preferred":false,"id":306683,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Granillo, Gilberto Patricio Olivero","contributorId":71936,"corporation":false,"usgs":true,"family":"Granillo","given":"Gilberto","email":"","middleInitial":"Patricio Olivero","affiliations":[],"preferred":false,"id":306694,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ceballos, Francisco Octavio Gastellum","contributorId":49321,"corporation":false,"usgs":true,"family":"Ceballos","given":"Francisco","email":"","middleInitial":"Octavio Gastellum","affiliations":[],"preferred":false,"id":306691,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":98843,"text":"sir20105194 - 2010 - Simulation of streamflow and suspended-sediment concentrations and loads in the lower Nueces River watershed, downstream from Lake Corpus Christi to the Nueces Estuary, South Texas, 1958-2008","interactions":[],"lastModifiedDate":"2016-08-11T16:22:39","indexId":"sir20105194","displayToPublicDate":"2010-10-28T00:00:00","publicationYear":"2010","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":"2010-5194","title":"Simulation of streamflow and suspended-sediment concentrations and loads in the lower Nueces River watershed, downstream from Lake Corpus Christi to the Nueces Estuary, South Texas, 1958-2008","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers-Fort Worth District, City of Corpus Christi, Guadalupe-Blanco River Authority, San Antonio River Authority, and San Antonio Water System, developed, calibrated, and tested a Hydrological Simulation Program ? FORTRAN (HSPF) watershed model to simulate streamflow and suspended-sediment concentrations and loads during 1958-2008 in the lower Nueces River watershed, downstream from Lake Corpus Christi to the Nueces Estuary in South Texas. Data available to simulate suspended-sediment concentrations and loads consisted of historical sediment data collected during 1942-82 in the study area and suspended-sediment concentration data collected periodically by the USGS during 2006-07 at three USGS streamflow-gaging stations, Nueces River near Mathis, Nueces River at Bluntzer, and Nueces River at Calallen. The Nueces River near Mathis station is downstream from Wesley E. Seale Dam, completed in 1958 to impound Lake Corpus Christi. Suspended-sediment data collected before and after completion of Wesley E. Seale Dam provide insights to the effects of the dam and reservoir on suspended-sediment loads transported by the lower Nueces River from downstream of the dam to the Nueces Estuary. Annual suspended-sediment loads at a site near the Nueces River at Mathis station were considerably lower, for a given annual mean discharge, after the dam was completed than before the dam was completed. Most of the suspended sediment transported by the Nueces River downstream from Wesley E. Seale Dam occurred during high-flow releases from the dam or during floods. During October 1964-September 1971, about 532,000 tons of suspended sediment were transported by the Nueces River near Mathis. Of this amount, about 473,000 tons, or about 89 percent, were transported by large runoff events (mean streamflow exceeding 1,000 cubic feet per second). To develop the watershed model to simulate suspended-sediment concentrations and loads in the lower Nueces River watershed during 1958-2008, streamflow simulations were calibrated and tested with available data for 2001-08 from the Nueces River at Bluntzer and Nueces River at Calallen stations. Streamflow data from the Nueces River near Mathis station were used as input to the model at the upstream boundary of the model. Simulated streamflow volumes for the Bluntzer and Calallen stations showed good agreement (within 6 percent) with measured streamflow volumes. The HSPF model was calibrated to simulate suspended sediment using suspended-sediment data collected at the Mathis, Bluntzer, and Calallen stations during 2006-07. The calibrated watershed model was used to estimate streamflow and suspended-sediment loads for 1958-2008, including loads transported to the Nueces Estuary. During 1958-2008, on average, an estimated 307 tons per day of suspended sediment were delivered to the lower Nueces River; an estimated 297 tons per day were delivered to the estuary. The annual suspended-sediment load was highly variable, depending on the occurrence of storm events and high streamflows. During 1958-2008, the annual total sediment loads to the estuary varied from an estimated 3.8 to 2,490 tons per day. On average, 117 tons per day, or about 38 percent of the estimated annual suspended-sediment contribution, originated from cropland in the study watershed. Releases from Lake Corpus Christi delivered an estimated 98 tons per day of suspended sediment or about 32 percent of the 307 tons per day estimated to have been delivered to the lower Nueces River. Erosion of stream-channel bed and banks accounted for 55 tons per day or about 18 percent of the estimated total suspended-sediment load. All other land categories, except cropland, accounted for an estimated 37 tons per day, or about 12 percent of the total. An estimated 9.6 tons per day of suspended sediment or about 3 percent of the suspended-sediment load delivered to the lower Nueces River</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/sir20105194","collaboration":"In cooperation with the U.S. Army Corps of Engineers, Fort Worth District; City of Corpus Christi; Guadalupe-Blanco River Authority; San Antonio River Authority; and San Antonio Water System","usgsCitation":"Ockerman, D.J., and Heitmuller, F.T., 2010, Simulation of streamflow and suspended-sediment concentrations and loads in the lower Nueces River watershed, downstream from Lake Corpus Christi to the Nueces Estuary, South Texas, 1958-2008: U.S. Geological Survey Scientific Investigations Report 2010-5194, vi, 43 p.; Appendix, https://doi.org/10.3133/sir20105194.","productDescription":"vi, 43 p.; Appendix","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":133902,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14254,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5194/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98,27.666666666666668 ], [ -98,28.25 ], [ -97.33333333333333,28.25 ], [ -97.33333333333333,27.666666666666668 ], [ -98,27.666666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db60459b","contributors":{"authors":[{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heitmuller, Franklin T.","contributorId":67476,"corporation":false,"usgs":true,"family":"Heitmuller","given":"Franklin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":306671,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70171519,"text":"70171519 - 2010 - Dissolved organic carbon export and internal cycling in small, headwater lakes","interactions":[],"lastModifiedDate":"2018-10-09T11:21:07","indexId":"70171519","displayToPublicDate":"2010-10-27T15:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved organic carbon export and internal cycling in small, headwater lakes","docAbstract":"<p><span>Carbon (C) cycling in freshwater lakes is intense but poorly integrated into our current understanding of overall C transport from the land to the oceans. We quantified dissolved organic carbon export (DOC</span><sub><span>X</span></sub><span>) and compared it with modeled gross DOC mineralization (DOC</span><span>R</span><span>) to determine whether hydrologic or within-lake processes dominated DOC cycling in a small headwaters watershed in Minnesota, USA. We also used DOC optical properties to gather information about DOC sources. We then compared our results to a data set of approximately 1500 lakes in the Eastern USA (Eastern Lake Survey, ELS, data set) to place our results in context of lakes more broadly. In the open-basin lakes in our watershed (</span><i>n</i><span>&nbsp;= 5), DOC</span><sub><span>X</span></sub><span>&nbsp;ranged from 60 to 183 g C m</span><sup><span>&minus;2</span></sup><span>&nbsp;lake area yr</span><sup><span>&minus;1</span></sup><span>, whereas DOC</span><span>R</span><span>&nbsp;ranged from 15 to 21 g C m</span><sup><span>&minus;2</span></sup><span>&nbsp;lake area yr</span><sup><span>&minus;1</span></sup><span>, emphasizing that lateral DOC fluxes dominated. DOC</span><sub><span>X</span></sub><span>&nbsp;calculated in our study watershed clustered near the 75th percentile of open-basin lakes in the ELS data set, suggesting that these results were not unusual. In contrast, DOC</span><sub><span>X</span></sub><span>&nbsp;in closed-basin lakes (</span><i>n</i><span>&nbsp;= 2) was approximately 5 g C m</span><sup><span>&minus;2</span></sup><span>&nbsp;lake area yr</span><sup><span>&minus;1</span></sup><span>, whereas DOC</span><span>R</span><span>&nbsp;was 37 to 42 g C m</span><sup><span>&minus;2</span></sup><span>&nbsp;lake area yr</span><sup><span>&minus;1</span></sup><span>, suggesting that internal C cycling dominated. In the ELS data set, median DOC</span><sub><span>X</span></sub><span>&nbsp;was 32 and 12 g C m</span><sup><span>&minus;2</span></sup><span>&nbsp;yr</span><sup><span>&minus;1&nbsp;</span></sup><span>in open-basin and closed-basin lakes, respectively. Although not as high as what was observed in our study watershed, DOC</span><sub><span>X</span></sub><span>&nbsp;is an important component of lake C flux more generally, particularly in open-basin lakes.</span></p>","language":"English","publisher":"Academic Press","publisherLocation":"San Diego, CA","doi":"10.1029/2010GB003815","usgsCitation":"Stets, E., Striegl, R.G., and Aiken, G.R., 2010, Dissolved organic carbon export and internal cycling in small, headwater lakes: Global Biogeochemical Cycles, v. 24, no. 4, p. 1-12, https://doi.org/10.1029/2010GB003815.","productDescription":"12 p.","startPage":"1","endPage":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019608","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":322110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2010-10-27","publicationStatus":"PW","scienceBaseUri":"575158aee4b053f0edd03c2f","contributors":{"authors":[{"text":"Stets, Edward G. estets@usgs.gov","contributorId":152533,"corporation":false,"usgs":true,"family":"Stets","given":"Edward G.","email":"estets@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":631572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":631574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":631573,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156580,"text":"70156580 - 2010 - Avalanche ecology and large magnitude avalanche events: Glacier National Park, Montana, USA","interactions":[],"lastModifiedDate":"2021-11-09T17:10:38.547996","indexId":"70156580","displayToPublicDate":"2010-10-22T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Avalanche ecology and large magnitude avalanche events: Glacier National Park, Montana, USA","docAbstract":"<p><span>Large magnitude snow avalanches play an important role ecologically in terms of wildlife habitat, vegetation diversity, and sediment transport within a watershed. Ecological effects from these infrequent avalanches can last for decades. Understanding the frequency of such large magnitude avalanches is also critical to avalanche forecasting for the Going-to-the-Sun Road (GTSR). In January 2009, a large magnitude avalanche cycle occurred in and around Glacier National Park, Montana. The study site is the Little Granite avalanche path located along the GTSR. The study is designed to quantify change in vegetative cover immediately after a large magnitude event and document ecological response over a multi-year period. GPS field mapping was completed to determine the redefined perimeter of the avalanche path. Vegetation was inventoried using modified U.S. Forest Service Forest Inventory and Analysis plots, cross sections were taken from over 100 dead trees throughout the avalanche path, and an avalanche chronology was developed. Initial results indicate that the perimeter of this path was expanded by 30%. The avalanche travelled approximately 1200 vertical meters and 3 linear kilometers. Stands of large conifers as old as 150 years were decimated by the avalanche, causing a shift in dominant vegetation types in many parts of the avalanche path. Woody debris is a major ground cover up to 3 m in depth on lower portions of the avalanche path and will likely affect tree regrowth. Monitoring and measuring the post-avalanche vegetation recovery of this particular avalanche path provides a unique dataset for determining the ecological role of avalanches in mountain landscapes.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2010 International snow science workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2010 International Snow Science Workshop","conferenceDate":"October 17-22, 2010","conferenceLocation":"Squaw Valley, California","language":"English","publisher":"Elsevier","usgsCitation":"Fagre, D.B., and Peitzsch, E.H., 2010, Avalanche ecology and large magnitude avalanche events: Glacier National Park, Montana, USA, <i>in</i> 2010 International snow science workshop, Squaw Valley, California, October 17-22, 2010, p. 800-805.","productDescription":"6 p.","startPage":"800","endPage":"805","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024668","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":307340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.4830322265625,\n              48.09275716032736\n            ],\n            [\n              -112.91748046874999,\n              48.09275716032736\n            ],\n            [\n              -112.91748046874999,\n              49.01985919086641\n            ],\n            [\n              -114.4830322265625,\n              49.01985919086641\n            ],\n            [\n              -114.4830322265625,\n              48.09275716032736\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe8207e4b0824b2d1483ef","contributors":{"authors":[{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":569564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peitzsch, Erich H. 0000-0001-7624-0455 epeitzsch@usgs.gov","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":3786,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","email":"epeitzsch@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":569565,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98828,"text":"ofr20101245 - 2010 - Magnetotelluric data, Taos Plateau Volcanic Field, New Mexico","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ofr20101245","displayToPublicDate":"2010-10-22T00:00:00","publicationYear":"2010","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":"2010-1245","title":"Magnetotelluric data, Taos Plateau Volcanic Field, New Mexico","docAbstract":"The population of the San Luis Basin region of northern New Mexico is growing. Water shortfalls could have serious consequences. Future growth and land management in the region depend on accurate assessment and protection of the region's groundwater resources. An important issue in managing the groundwater resources is a better understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits that fill the Rio Grande rift, which contain the principal groundwater aquifers. The shallow unconfined aquifer and the deeper confined Santa Fe Group aquifer in the San Luis Basin are the main sources of municipal water for the region.\r\n\r\nThe U.S. Geological Survey (USGS) is conducting a series of multidisciplinary studies of the San Luis Basin. Detailed geologic mapping, high-resolution airborne magnetic surveys, gravity surveys, an electromagnetic survey called magnetotellurics (MT), and hydrologic and lithologic data are being used to better understand the aquifers. This report describes a regional east-west MT sounding profile acquired in late July 2009 across the Taos Plateau Volcanic Field where drillhole data are sparse. Resistivity modeling of the MT data can be used to help map changes in electrical resistivity with depths that are related to differences in rock types. These various rock types help control the properties of aquifers. The purpose of this report is to release the MT sounding data collected along the east-west profile. No interpretation of the data is included.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101245","usgsCitation":"Ailes, C.E., and Rodriguez, B.D., 2010, Magnetotelluric data, Taos Plateau Volcanic Field, New Mexico: U.S. Geological Survey Open-File Report 2010-1245, iv, 8 p.; Appendices, https://doi.org/10.3133/ofr20101245.","productDescription":"iv, 8 p.; Appendices","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":126174,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1245.jpg"},{"id":14242,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1245/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106,36.666666666666664 ], [ -106,37 ], [ -105.5,37 ], [ -105.5,36.666666666666664 ], [ -106,36.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649462","contributors":{"authors":[{"text":"Ailes, Chad E. cailes@usgs.gov","contributorId":3995,"corporation":false,"usgs":true,"family":"Ailes","given":"Chad","email":"cailes@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":306632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":306631,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98824,"text":"ofr20101243 - 2010 - Evaluation of extraction methods for hexavalent chromium determination in dusts, ashes, and soils","interactions":[],"lastModifiedDate":"2012-02-02T00:04:42","indexId":"ofr20101243","displayToPublicDate":"2010-10-22T00:00:00","publicationYear":"2010","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":"2010-1243","title":"Evaluation of extraction methods for hexavalent chromium determination in dusts, ashes, and soils","docAbstract":"One of the difficulties in performing speciation analyses on solid samples is finding a suitable extraction method. Traditional methods for extraction of hexavalent chromium, Cr(VI), in soils, such as SW846 Method 3060A, can be tedious and are not always compatible with some determination methods. For example, the phosphate and high levels of carbonate and magnesium present in the U.S. Environmental Protection Agency (USEPA) Method 3060A digestion for Cr(VI) were found to be incompatible with the High Performance Liquid Chromatography-Inductively Coupled Plasma-Mass Spectrometry (HPLC-ICP-MS) detection method used by our laboratory. Modification of Method 3060A by eliminating the use of the phosphate buffer provided improved performance with the detection method, however dilutions are still necessary to achieve good chromatographic separation and detection of Cr(VI).\r\n\r\nAn ultrasonic extraction method using a 1 mM Na2CO3 - 9 mM NaHCO3 buffer solution, adapted from Occupational Safety and Health Administration (OSHA) Method ID215, has been used with good results for the determination of Cr(VI) in air filters. The average recovery obtained for BCR-545 - Welding Dust Loaded on Filter (IRMM, Belgium) using this method was 99 percent (1.2 percent relative standard deviation) with no conversion of Cr(VI) to Cr(III) during the extraction process.\r\n\r\nThis ultrasonic method has the potential for use with other sample matrices, such as ashes and soils. Preliminary investigations using NIST 2701 (Hexavalent Chromium in Contaminated Soil) loaded onto quartz filters showed promising results with approximately 90 percent recovery of the certified Cr(VI) value. Additional testing has been done using NIST 2701 and NIST 2700 using different presentation methods. Extraction efficiency of bulk presentation, where small portions of the sample are added to the bottom of the extraction vessel, will be compared with supported presentation, where small portions of the sample are loaded onto a quartz filter prior to extraction. In addition, results obtained from the standard grinding preparation of NIST 2701 and NIST 2700 will be compared with micronizing to reduce particle size before extraction.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101243","usgsCitation":"Wolf, R.E., and Wilson, S.A., 2010, Evaluation of extraction methods for hexavalent chromium determination in dusts, ashes, and soils: U.S. Geological Survey Open-File Report 2010-1243, 3 p.; 19 slides, https://doi.org/10.3133/ofr20101243.","productDescription":"3 p.; 19 slides","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":126172,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1243.jpg"},{"id":14238,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1243/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fae13","contributors":{"authors":[{"text":"Wolf, Ruth E. rwolf@usgs.gov","contributorId":903,"corporation":false,"usgs":true,"family":"Wolf","given":"Ruth","email":"rwolf@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":306623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Stephen A. 0000-0002-9468-0005 swilson@usgs.gov","orcid":"https://orcid.org/0000-0002-9468-0005","contributorId":1617,"corporation":false,"usgs":true,"family":"Wilson","given":"Stephen","email":"swilson@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":306624,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98826,"text":"sir20105068 - 2010 - Estimation of groundwater use for a groundwater-flow model of the Lake Michigan Basin and adjacent areas, 1864-2005","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"sir20105068","displayToPublicDate":"2010-10-22T00:00:00","publicationYear":"2010","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":"2010-5068","title":"Estimation of groundwater use for a groundwater-flow model of the Lake Michigan Basin and adjacent areas, 1864-2005","docAbstract":"The U.S. Geological Survey, at the request of Congress, is assessing the availability and use of the Nation's water resources to help characterize how much water is available now, how water availability is changing, and how much water can be expected to be available in the future. The Great Lakes Basin Pilot project of the U.S. Geological Survey national assessment of water availability and use focused on the Great Lakes Basin and included detailed studies of the processes governing water availability in the Great Lakes Basin. One of these studies included the development of a groundwater-flow model of the Lake Michigan Basin. This report describes the compilation and estimation of the groundwater withdrawals in those areas in Wisconsin, Michigan, Indiana, and Illinois that were needed for the Lake Michigan Basin study groundwater-flow model. These data were aggregated for 12 model time intervals spanning 1864 to 2005 and were summarized by model area, model subregion, category of water use, aquifer system, aquifer type, and hydrogeologic unit model layer.\r\n\r\n\r\nThe types and availability of information on groundwater withdrawals vary considerably among states because water-use programs often differ in the types of data collected and in the methods and frequency of data collection. As a consequence, the methods used to estimate and verify the data also vary. Additionally, because of the different sources of data and different terminologies applied for the purposes of this report, the water-use data published in this report may differ from water-use data presented in other reports. These data represent only a partial estimate of groundwater use in each state because estimates were compiled only for areas in Wisconsin, Michigan, Indiana, and Illinois within the Lake Michigan Basin model area. Groundwater-withdrawal data were compiled for both nearfield and farfield model areas in Wisconsin and Illinois, whereas these data were compiled primarily for the nearfield model area in Michigan and Indiana.\r\n\r\n\r\nOverall water use for the selected areas in Wisconsin, Michigan, Indiana, and Illinois was less during early time intervals than during more recent intervals, with large increases beginning around the 1960s. Total estimated groundwater withdrawals for model input range from 18.01 million gallons per day (Mgal/d) for interval 1 (1864-1900) to 1,280.25 Mgal/d for interval 12 (2001-5). Withdrawals for the public-supply category make up the majority of the withdrawals in each of the four states. In Wisconsin and Michigan, the second largest withdrawals are for the irrigation category; in Indiana and Illinois, industrial withdrawals account for the second largest withdrawal amounts. The smallest withdrawals are for miscellaneous uses in Wisconsin and irrigation uses in Indiana and Illinois.\r\n\r\n\r\nEstimated groundwater withdrawals in the Southern Lower Peninsula of Michigan, Northeastern Illinois, and the farfield model area are generally larger than in the other model subregions. Withdrawals in Michigan and Indiana are predominantly from the Quaternary aquifer system, whereas withdrawals in Illinois are predominantly from the Cambrian-Ordovician aquifer systems. Withdrawals in Wisconsin are about equal from the Quaternary and Cambrian-Ordovician aquifer systems. Estimated groundwater withdrawals in Michigan and Indiana are predominantly from the unconfined unconsolidated aquifer type. Withdrawals in Illinois are largely from the deep confined bedrock aquifer type, although they decreased considerably in more recent time intervals. Wisconsin withdrawals are about equal from unconfined unconsolidated and deep confined bedrock aquifer types.\r\n\r\n\r\nGroundwater-withdrawal estimates in Wisconsin were compiled for the 47 easternmost counties within the boundary of the Lake Michigan Basin model, of which 32 counties, though not entirely contained, are at least partly within the Lake Michigan Basin. Overall, 6,457 withdrawal locations were estima","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105068","collaboration":"National Water Availability and Use Pilot Program\r\n","usgsCitation":"Buchwald, C.A., Luukkonen, C.L., and Rachol, C.M., 2010, Estimation of groundwater use for a groundwater-flow model of the Lake Michigan Basin and adjacent areas, 1864-2005: U.S. Geological Survey Scientific Investigations Report 2010-5068, x, 90 p.; Appendices, https://doi.org/10.3133/sir20105068.","productDescription":"x, 90 p.; Appendices","additionalOnlineFiles":"N","costCenters":[{"id":446,"text":"National Water Availability and Use Great Lakes Pilot","active":false,"usgs":true}],"links":[{"id":126173,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5068.jpg"},{"id":14240,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5068/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90,41 ], [ -90,46 ], [ -82,46 ], [ -82,41 ], [ -90,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a59e4b07f02db62f60e","contributors":{"authors":[{"text":"Buchwald, Cheryl A. 0000-0001-8968-5023 cabuchwa@usgs.gov","orcid":"https://orcid.org/0000-0001-8968-5023","contributorId":1943,"corporation":false,"usgs":true,"family":"Buchwald","given":"Cheryl","email":"cabuchwa@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luukkonen, Carol L. clluukko@usgs.gov","contributorId":3489,"corporation":false,"usgs":true,"family":"Luukkonen","given":"Carol","email":"clluukko@usgs.gov","middleInitial":"L.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rachol, Cynthia M. 0000-0001-9984-3435 crachol@usgs.gov","orcid":"https://orcid.org/0000-0001-9984-3435","contributorId":3488,"corporation":false,"usgs":true,"family":"Rachol","given":"Cynthia","email":"crachol@usgs.gov","middleInitial":"M.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":306628,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70154873,"text":"70154873 - 2010 - Large reservoirs: Chapter 17","interactions":[],"lastModifiedDate":"2017-05-08T12:30:06","indexId":"70154873","displayToPublicDate":"2010-10-20T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Large reservoirs: Chapter 17","docAbstract":"<p>Large impoundments, defined as those with surface area of 200 ha or greater, are relatively new aquatic ecosystems in the global landscape. They represent important economic and environmental resources that provide benefits such as flood control, hydropower generation, navigation, water supply, commercial and recreational fisheries, and various other recreational and esthetic values. Construction of large impoundments was initially driven by economic needs, and ecological consequences received little consideration. However, in recent decades environmental issues have come to the forefront. In the closing decades of the 20th century societal values began to shift, especially in the developed world. Society is no longer willing to accept environmental damage as an inevitable consequence of human development, and it is now recognized that continued environmental degradation is unsustainable. Consequently, construction of large reservoirs has virtually stopped in North America. Nevertheless, in other parts of the world construction of large reservoirs continues. </p><p>The emergence of systematic reservoir management in the early 20th century was guided by concepts developed for natural lakes (Miranda 1996). However, we now recognize that reservoirs are different and that reservoirs are not independent aquatic systems inasmuch as they are connected to upstream rivers and streams, the downstream river, other reservoirs in the basin, and the watershed. Reservoir systems exhibit longitudinal patterns both within and among reservoirs. Reservoirs are typically arranged sequentially as elements of an interacting network, filter water collected throughout their watersheds, and form a mosaic of predictable patterns. </p><p>Traditional approaches to fisheries management such as stocking, regulating harvest, and in-lake habitat management do not always produce desired effects in reservoirs. As a result, managers may expend resources with little benefit to either fish or fishing. Some locally expressed effects, such as turbidity and water quality, zooplankton density and size composition, or fish growth rates and assemblage composition, are the upshot of large-scale factors operating outside reservoirs and not under the direct control of reservoir managers. Realistically, abiotic and biotic conditions in reservoirs are shaped by factors working inside and outside reservoirs, with the relative importance of external factors differing among reservoirs. </p><p>With this perspective, large reservoirs are viewed from a habitat standpoint within the framework of a conceptual model in which individual reservoir characteristics are influenced by both local- and landscape-scale factors (Figure 17.1). In the sections that follow, how&nbsp;each element of this hierarchical model influences habitat and fish assemblages in reservoirs is considered. Important in-reservoir habitat issues and reservoirs as part of larger systems, where reservoir management requires looking for real solutions outside individual reservoirs are described.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Inland fisheries management in North America","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","isbn":"978-1-934874-16-5","usgsCitation":"Miranda, L.E., and Bettoli, P.W., 2010, Large reservoirs: Chapter 17, chap. <i>of</i> Inland fisheries management in North America, p. 545-586.","productDescription":"42 p.","startPage":"545","endPage":"586","ipdsId":"IP-008920","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":340932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183bae4b0e541a03c1a90","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bettoli, Phillip William pbettoli@usgs.gov","contributorId":1919,"corporation":false,"usgs":true,"family":"Bettoli","given":"Phillip","email":"pbettoli@usgs.gov","middleInitial":"William","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":694471,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98817,"text":"ofr20101215 - 2010 - Ecological requirements for pallid sturgeon reproduction and recruitment in the Lower Missouri River: Annual report 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:10:06","indexId":"ofr20101215","displayToPublicDate":"2010-10-19T00:00:00","publicationYear":"2010","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":"2010-1215","title":"Ecological requirements for pallid sturgeon reproduction and recruitment in the Lower Missouri River: Annual report 2009","docAbstract":"The Comprehensive Sturgeon Research Project is a multiyear, multiagency collaborative research framework developed to provide information to support pallid sturgeon recovery and Missouri River management decisions. The general Comprehensive Sturgeon Research Project strategy is to integrate field and laboratory studies of sturgeon reproductive ecology, habitat requirements, and physiology to produce a predictive understanding of sturgeon population dynamics. The project scope of work is developed annually with cooperating research partners and in collaboration with the U.S. Army Corps of Engineers, Missouri River Recovery-Integrated Science Program. The research consists of several interdependent and complementary research tasks engaging multiple disciplines that primarily address spawning as a probable limiting factor in reproduction and survival of the pallid sturgeon. The research is multifaceted and is designed to provide information needed for management decisions impacting habitat restoration, flow modification, and pallid sturgeon population augmentation on the Missouri River, and throughout the range of the species. Research activities and progress towards understanding of the species are reported to the U.S. Army Corps of Engineers annually. This annual report details the research effort and progress made by Comprehensive Sturgeon Research Project during 2009.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101215","collaboration":"Prepared in cooperation with the Missouri River Recovery-Integrated Science Program U.S. Army Corps of Engineers, Yankton, South Dakota","usgsCitation":"DeLonay, A.J., Jacobson, R.B., Papoulias, D.M., Wildhaber, M.L., Chojnacki, K.A., Pherigo, E., Bergthold, C.L., and Mestl, G.E., 2010, Ecological requirements for pallid sturgeon reproduction and recruitment in the Lower Missouri River: Annual report 2009: U.S. Geological Survey Open-File Report 2010-1215, viii, 64 p. , https://doi.org/10.3133/ofr20101215.","productDescription":"viii, 64 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":126139,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1215.jpg"},{"id":14230,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1215/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115,35 ], [ -115,50 ], [ -90,50 ], [ -90,35 ], [ -115,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae2e4b07f02db688dca","contributors":{"authors":[{"text":"DeLonay, Aaron J.","contributorId":53360,"corporation":false,"usgs":true,"family":"DeLonay","given":"Aaron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":306596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":306590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Papoulias, Diana M. 0000-0002-5106-2469 dpapoulias@usgs.gov","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":2726,"corporation":false,"usgs":true,"family":"Papoulias","given":"Diana","email":"dpapoulias@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":306593,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":306591,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chojnacki, Kimberly A. kchojnacki@usgs.gov","contributorId":1978,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Kimberly","email":"kchojnacki@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":306592,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pherigo, Emily K.","contributorId":33300,"corporation":false,"usgs":true,"family":"Pherigo","given":"Emily K.","affiliations":[],"preferred":false,"id":306594,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bergthold, Casey L.","contributorId":59008,"corporation":false,"usgs":true,"family":"Bergthold","given":"Casey","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":306597,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mestl, Gerald E.","contributorId":49336,"corporation":false,"usgs":true,"family":"Mestl","given":"Gerald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":306595,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":98820,"text":"sir20105100 - 2010 - Relations that affect the probability and prediction of nitrate concentration in private wells in the glacial aquifer system in the United States","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105100","displayToPublicDate":"2010-10-19T00:00:00","publicationYear":"2010","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":"2010-5100","title":"Relations that affect the probability and prediction of nitrate concentration in private wells in the glacial aquifer system in the United States","docAbstract":"Nitrate in private wells in the glacial aquifer system is a concern for an estimated 17 million people using private wells because of the proximity of many private wells to nitrogen sources. Yet, less than 5 percent of private wells sampled in this study contained nitrate in concentrations that exceeded the U.S. Environmental Protection Agency (USEPA) Maximum Contaminant Level (MCL) of 10 mg/L (milligrams per liter) as N (nitrogen). However, this small group with nitrate concentrations above the USEPA MCL includes some of the highest nitrate concentrations detected in groundwater from private wells (77 mg/L). Median nitrate concentration measured in groundwater from private wells in the glacial aquifer system (0.11 mg/L as N) is lower than that in water from other unconsolidated aquifers and is not strongly related to surface sources of nitrate. Background concentration of nitrate is less than 1 mg/L as N.\r\n\r\nAlthough overall nitrate concentration in private wells was low relative to the MCL, concentrations were highly variable over short distances and at various depths below land surface. Groundwater from wells in the glacial aquifer system at all depths was a mixture of old and young water. Oxidation and reduction potential changes with depth and groundwater age were important influences on nitrate concentrations in private wells. \r\n\r\nA series of 10 logistic regression models was developed to estimate the probability of nitrate concentration above various thresholds. The threshold concentration (1 to 10 mg/L) affected the number of variables in the model. Fewer explanatory variables are needed to predict nitrate at higher threshold concentrations. The variables that were identified as significant predictors for nitrate concentration above 4 mg/L as N included well characteristics such as open-interval diameter, open-interval length, and depth to top of open interval. Environmental variables in the models were mean percent silt in soil, soil type, and mean depth to saturated soil. The 10-year mean (1992-2001) application rate of nitrogen fertilizer applied to farms was included as the potential source variable. A linear regression model also was developed to predict mean nitrate concentrations in well networks. The model is based on network averages because nitrate concentrations are highly variable over short distances. Using values for each of the predictor variables averaged by network (network mean value) from the logistic regression models, the linear regression model developed in this study predicted the mean nitrate concentration in well networks with a 95 percent confidence in predictions. \r\n\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105100","collaboration":"National Water-Quality Assessment Program\r\n","usgsCitation":"Warner, K., and Arnold, T., 2010, Relations that affect the probability and prediction of nitrate concentration in private wells in the glacial aquifer system in the United States: U.S. Geological Survey Scientific Investigations Report 2010-5100, xi, 73 p. , https://doi.org/10.3133/sir20105100.","productDescription":"xi, 73 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":126140,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5100.jpg"},{"id":14234,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5100/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal-Area Conic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125,35 ], [ -125,50 ], [ -65,50 ], [ -65,35 ], [ -125,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a28e4b07f02db6110b2","contributors":{"authors":[{"text":"Warner, Kelly L. klwarner@usgs.gov","contributorId":655,"corporation":false,"usgs":true,"family":"Warner","given":"Kelly L.","email":"klwarner@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arnold, Terri 0000-0003-1406-6054 tlarnold@usgs.gov","orcid":"https://orcid.org/0000-0003-1406-6054","contributorId":1598,"corporation":false,"usgs":false,"family":"Arnold","given":"Terri","email":"tlarnold@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":306607,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98818,"text":"fs20103097 - 2010 - The Border Environmental Health Initiative: Investigating the transboundary Santa Cruz watershed","interactions":[],"lastModifiedDate":"2024-02-22T22:24:21.697894","indexId":"fs20103097","displayToPublicDate":"2010-10-19T00:00:00","publicationYear":"2010","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":"2010-3097","title":"The Border Environmental Health Initiative: Investigating the transboundary Santa Cruz watershed","docAbstract":"In 2004 the U.S. Geological Survey (USGS) launched the Border Environmental Health Initiative (BEHI), a major project encompassing the entire U.S.-Mexico border region. In 2009, a study of the Santa Cruz River Watershed (SCW), located in the border region of Arizona and Sonora, Mexico, was initiated as part of the BEHI. In this borderland region of the desert Southwest, human health and the ecosystems on which humans rely depend critically on limited water resources. Surface water is scarce during much of the year, and groundwater is the primary source for industrial, agricultural, and domestic use. \r\n\r\nIn order to identify risks to water resources in the SCW, and the potential consequences to riparian ecosystems and ultimately human health, the USGS is using an interdisciplinary and integrative approach that incorporates the expertise of geographers, hydrologists, biologists, and geologists to track organic and inorganic contaminants and their effects from sources to sinks in sediment, water, plants, and animals. Existing groundwater and surface-water models are being used and modified to assess contaminant and sediment transport.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20103097","collaboration":"U.S.-Mexico Border Environmental Health Initiative","usgsCitation":"Norman, L.M., Callegary, J., van Riper, C., and Gray, F., 2010, The Border Environmental Health Initiative: Investigating the transboundary Santa Cruz watershed: U.S. Geological Survey Fact Sheet 2010-3097, 2 p., https://doi.org/10.3133/fs20103097.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":425889,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94413.htm","linkFileType":{"id":5,"text":"html"}},{"id":126141,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3097.jpg"},{"id":14231,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3097/","linkFileType":{"id":5,"text":"html"}}],"country":"Mexico, United States","state":"Arizona, Sonora","otherGeospatial":"Santa Cruz watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.0653,\n              31.6667\n            ],\n            [\n              -111.0653,\n              31.2417\n            ],\n            [\n              -110.5681,\n              31.2417\n            ],\n            [\n              -110.5681,\n              31.6667\n            ],\n            [\n              -111.0653,\n              31.6667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad3e4b07f02db6822cc","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":306599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Callegary, James","contributorId":62558,"corporation":false,"usgs":true,"family":"Callegary","given":"James","affiliations":[],"preferred":false,"id":306600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":306601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":306598,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98819,"text":"ofr20101185 - 2010 - Modified Mercalli intensity assignments for the May 16, 1909, Northern Plains earthquake","interactions":[{"subject":{"id":97859,"text":"ofr20091184 - 2009 - Modified Mercalli Intensity Assignments for the May 16, 1909, Northern Plains Earthquake","indexId":"ofr20091184","publicationYear":"2009","noYear":false,"title":"Modified Mercalli Intensity Assignments for the May 16, 1909, Northern Plains Earthquake"},"predicate":"SUPERSEDED_BY","object":{"id":98819,"text":"ofr20101185 - 2010 - Modified Mercalli intensity assignments for the May 16, 1909, Northern Plains earthquake","indexId":"ofr20101185","publicationYear":"2010","noYear":false,"title":"Modified Mercalli intensity assignments for the May 16, 1909, Northern Plains earthquake"},"id":1}],"lastModifiedDate":"2019-07-17T16:32:15","indexId":"ofr20101185","displayToPublicDate":"2010-10-19T00:00:00","publicationYear":"2010","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":"2010-1185","title":"Modified Mercalli intensity assignments for the May 16, 1909, Northern Plains earthquake","docAbstract":"We use newspaper accounts from the United States and Canada to assign modified Mercalli intensity (MMI) at 90 towns for the May 16, 1909 Northern Plains earthquake. Our MMI assignments generally are consistent with those plotted on Nuttli's (1976) isoseiemal map. The earthquake was felt over more than 1,500,000 km2 in the states of Minnesota, Montana, North Dakota, South Dakota, and Wyoming and the provinces of Alberta, Manitoba, Ontario, and Saskatchewan. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101185","collaboration":"This report supersedes USGS Open-File Report 2009-1184\r\n","usgsCitation":"Bakun, W.H., Stickney, M.C., Rogers, G., and Ristau, J., 2010, Modified Mercalli intensity assignments for the May 16, 1909, Northern Plains earthquake (Version 1.1; Revised 2011): U.S. Geological Survey Open-File Report 2010-1185, iii, 96 p.; Tables Folder  , https://doi.org/10.3133/ofr20101185.","productDescription":"iii, 96 p.; Tables Folder  ","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":235,"text":"Earthquake Hazards Program - Northern California","active":false,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":116794,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1185.gif"},{"id":14233,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1185/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115,40 ], [ -115,55 ], [ -90,55 ], [ -90,40 ], [ -115,40 ] ] ] } } ] }","edition":"Version 1.1; Revised 2011","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db699412","contributors":{"authors":[{"text":"Bakun, W. H.","contributorId":67055,"corporation":false,"usgs":true,"family":"Bakun","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":306603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stickney, M. C.","contributorId":96227,"corporation":false,"usgs":true,"family":"Stickney","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":306605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogers, G.","contributorId":75103,"corporation":false,"usgs":true,"family":"Rogers","given":"G.","affiliations":[],"preferred":false,"id":306604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ristau, J.","contributorId":36509,"corporation":false,"usgs":true,"family":"Ristau","given":"J.","email":"","affiliations":[],"preferred":false,"id":306602,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156525,"text":"70156525 - 2010 - Integrated simulation of consumptive use and land subsidence in the Central Valley, California, for the past and for a future subject to urbanization and climate change","interactions":[],"lastModifiedDate":"2021-11-09T16:54:44.832371","indexId":"70156525","displayToPublicDate":"2010-10-17T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Integrated simulation of consumptive use and land subsidence in the Central Valley, California, for the past and for a future subject to urbanization and climate change","docAbstract":"<p>Competition for water resources is growing throughout California, particularly in the Central Valley where about 20% of all groundwater used in the United States is consumed for agriculture and urban water supply. Continued agricultural use coupled with urban growth and potential climate change would result in continued depletion of groundwater storage and associated land subsidence throughout the Central Valley. For 1962-2003, an estimated 1,230 hectare meters (hm3) of water was withdrawn from fine-grained beds, resulting in more than three meters (m) of additional land subsidence locally. Linked physically-based, supply-constrained and emanddriven hydrologic models were used to simulate future hydrologic conditions under the A2 climate projection scenario that assumes continued \"business as usual\" greenhouse gas emissions. Results indicate an increased subsidence in the second half of the twenty-first century. Potential simulated land subsidence extends into urban areas and the eastern side of the valley where future surface-water deliveries may be depleted.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Land subsidence, associated hazards and the role of natural resources development: EISOLS 2010 proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Eighth International Symposium on Land Subsidence (EISOLS) 2010","conferenceDate":"October 17-22, 2010","conferenceLocation":"Querétaro, Mexico","language":"English","publisher":"International Association of Hydrological Sciences","isbn":"1907161120 9781907161124","usgsCitation":"Hanson, R.T., Flint, A.L., Faunt, C., Cayan, D.R., Flint, L.E., Leake, S.A., and Schmid, W., 2010, Integrated simulation of consumptive use and land subsidence in the Central Valley, California, for the past and for a future subject to urbanization and climate change, <i>in</i> Land subsidence, associated hazards and the role of natural resources development: EISOLS 2010 proceedings, v. 339, Querétaro, Mexico, October 17-22, 2010, p. 467-471.","productDescription":"5 p.","startPage":"467","endPage":"471","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-020430","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":307245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              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,{"id":98815,"text":"sir20105189 - 2010 - Effects of groundwater levels and headwater wetlands on streamflow in the Charlie Creek basin, Peace River watershed, west-central Florida","interactions":[],"lastModifiedDate":"2012-03-08T17:16:14","indexId":"sir20105189","displayToPublicDate":"2010-10-15T00:00:00","publicationYear":"2010","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":"2010-5189","title":"Effects of groundwater levels and headwater wetlands on streamflow in the Charlie Creek basin, Peace River watershed, west-central Florida","docAbstract":"The Charlie Creek basin was studied from April 2004 to December 2005 to better understand how groundwater levels in the underlying aquifers and storage and overflow of water from headwater wetlands preserve the streamflows exiting this least-developed tributary basin of the Peace River watershed. The hydrogeologic framework, physical characteristics, and streamflow were described and quantified for five subbasins of the 330-square mile Charlie Creek basin, allowing the contribution of its headwaters area and tributary subbasins to be separately quantified. A MIKE SHE model simulation of the integrated surface-water and groundwater flow processes in the basin was used to simulate daily streamflow observed over 21 months in 2004 and 2005 at five streamflow stations, and to quantify the monthly and annual water budgets for the five subbasins including the changing amount of water stored in wetlands. Groundwater heads were mapped in Zone 2 of the intermediate aquifer system and in the Upper Floridan aquifer, and were used to interpret the location of artesian head conditions in the Charlie Creek basin and its relation to streamflow. Artesian conditions in the intermediate aquifer system induce upward groundwater flow into the surficial aquifer and help sustain base flow which supplies about two-thirds of the streamflow from the Charlie Creek basin. Seepage measurements confirmed seepage inflow to Charlie Creek during the study period. \r\nThe upper half of the basin, comprised largely of the Upper Charlie Creek subbasin, has lower runoff potential than the lower basin, more storage of runoff in wetlands, and periodically generates no streamflow. Artesian head conditions in the intermediate aquifer system were widespread in the upper half of the Charlie Creek basin, preventing downward leakage from expansive areas of wetlands and enabling them to act as headwaters to Charlie Creek once their storage requirements were met. Currently, the dynamic balance between wetland storage, rainfall-runoff processes, and groundwater-level differences in the upper basin allow it to generate approximately half of the streamflow from the Charlie Creek basin. Therefore, future development in the upper basin that would alter the hydraulic connectivity of wetlands during high flow conditions or expand recharging groundwater conditions could substantially affect streamflow in Charlie Creek. LIDAR (Light detection and ranging) based topographic maps and integrated modeling results were used to quantify the water stored in wetlands and other topographic depressions, and to describe the network of shallow stream channels connecting wetlands to Charlie Creek and its tributaries over distances of several thousand feet. Peak flows at all but one streamflow station were underpredicted in MIKE SHE simulations, possibly because the hydraulics of surface channels connecting wetlands to stream channels were not explicitly simulated in the model. Explicitly simulating the smaller channels connecting wetlands and stream channels should improve the ability of future watershed models to simulate peak flows in streams with headwater wetlands. \r\nThe runoff potential was greater in the lower half of the Charlie Creek basin than in the upper half, and the streambed of Charlie Creek had greater potential to both directly gain streamflow from groundwater and lose streamflow to groundwater. Charlie Creek is more incised into the surficial aquifer in the lower basin than in the upper basin, and the streambed intersects the top of the intermediate aquifer system at two known locations. Groundwater levels in the intermediate aquifer system varied widely in the lower half of the basin from artesian conditions inducing upward flow toward the surficial aquifer and streams, to recharging conditions allowing downward flow and stream leakage. Recharge areas were greatest in May 2004 when rainfall was at a seasonal low and irrigation pumping was at a seasonal high. Recharge conditions ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105189","collaboration":"Prepared in cooperation with\r\nSouthwest Florida Water Management District \r\n","usgsCitation":"Lee, T.M., Sacks, L.A., and Hughes, J., 2010, Effects of groundwater levels and headwater wetlands on streamflow in the Charlie Creek basin, Peace River watershed, west-central Florida: U.S. Geological Survey Scientific Investigations Report 2010-5189, Ix, 70 p.; Appendices , https://doi.org/10.3133/sir20105189.","productDescription":"Ix, 70 p.; Appendices ","additionalOnlineFiles":"N","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":135776,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14228,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5189/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.5,26.75 ], [ -82.5,28.25 ], [ -81.5,28.25 ], [ -81.5,26.75 ], [ -82.5,26.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2ee4b07f02db6154be","contributors":{"authors":[{"text":"Lee, T. M.","contributorId":67855,"corporation":false,"usgs":true,"family":"Lee","given":"T.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":306586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sacks, L. A.","contributorId":83092,"corporation":false,"usgs":true,"family":"Sacks","given":"L.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":306587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, J.D.","contributorId":25539,"corporation":false,"usgs":true,"family":"Hughes","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":306585,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70158962,"text":"70158962 - 2010 - Data mining for water resource management part 2 - methods and approaches to solving contemporary problems","interactions":[],"lastModifiedDate":"2016-11-30T14:55:41","indexId":"70158962","displayToPublicDate":"2010-10-14T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Data mining for water resource management part 2 - methods and approaches to solving contemporary problems","docAbstract":"<p><span>This is the second of two papers that describe how data mining can aid natural-resource managers with the difficult problem of controlling the interactions between hydrologic and man-made systems. Data mining is a new science that assists scientists in converting large databases into knowledge, and is uniquely able to leverage the large amounts of real-time, multivariate data now being collected for hydrologic systems. Part 1 gives a high-level overview of data mining, and describes several applications that have addressed major water resource issues in South Carolina. This Part 2 paper describes how various data mining methods are integrated to produce predictive models for controlling surface- and groundwater hydraulics and quality. The methods include: - signal processing to remove noise and decompose complex signals into simpler components; - time series clustering that optimally groups hundreds of signals into \"classes\" that behave similarly for data reduction and (or) divide-and-conquer problem solving; - classification which optimally matches new data to behavioral classes; - artificial neural networks which optimally fit multivariate data to create predictive models; - model response surface visualization that greatly aids in understanding data and physical processes; and, - decision support systems that integrate data, models, and graphics into a single package that is easy to use.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the 2010 South Carolina Water Resources Conference","conferenceTitle":"2010 South Carolina Water Resources Conference","conferenceDate":"October 13-14 2010","conferenceLocation":"Columbia, South 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,{"id":98810,"text":"sir20105094 - 2010 - Historical changes in annual peak flows in Maine and implications for flood-frequency analyses","interactions":[],"lastModifiedDate":"2017-07-05T12:36:19","indexId":"sir20105094","displayToPublicDate":"2010-10-14T00:00:00","publicationYear":"2010","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":"2010-5094","title":"Historical changes in annual peak flows in Maine and implications for flood-frequency analyses","docAbstract":"<p>Flood-frequency analyses use statistical methods to compute peak streamflows for selected recurrence intervals— the average number of years between peak flows that are equal to or greater than a specified peak flow. Analyses are based on annual peak flows at a stream. It has long been assumed that the annual peak streamflows used in these computations were stationary (non-changing) over very long periods of time, except in river basins subject to direct effects of human activities, such as urbanization and regulation. Because of the potential effects of global warming on peak flows, the assumption of peak-flow stationarity has recently been questioned. Maine has many streamgages with 50 to 105 years of recorded annual peak streamflows. In this study, this long-term record has been tested for historical flood-frequency stationarity, to provide some insight into future flood frequency. </p><p>Changes over time in annual instantaneous peak streamflows at 28 U.S. Geological Survey streamgages with long-term data (50 or more years) and relatively complete records were investigated by examining linear trends for each streamgage’s period of record. None of the 28 streamgages had more than 5 years of missing data. Eight streamgages have substantial streamflow regulation. Because previous studies have suggested that changes over time may have occurred as a step change around 1970, step changes between each streamgage’s older record (start year to 1970) and newer record (1971 to 2006) also were computed. The median change over time for all 28 streamgages is an increase of 15.9 percent based on a linear change and an increase of 12.4 percent based on a step change. The median change for the 20 unregulated streamgages is slightly higher than for all 28 streamgages; it is 18.4 percent based on a linear change and 15.0 percent based on a step change. </p><p>Peak flows with 100- and 5-year recurrence intervals were computed for the 28 streamgages using the full annual peak-flow record and multiple sub-periods of that record using the guidelines (Bulletin 17B) of the Interagency Advisory Committee on Water Data. Magnitudes of 100- and 5-year peak flows computed from sub-periods then were compared to those computed from the full period. Sub-periods of 30 years with starting years staggered by 10 years were evaluated&nbsp;(1907–36, 1917–46, 1927–56, 1937–66, 1947–76, 1957–86, 1967–96, and 1977–2006). Two other sub-periods were evaluated using older data (start-of-record to 1970) and newer data (1971 to 2006). The 5-year peak flow is used to represent small and relatively frequent flood flows in Maine, whereas the 100-year peak flow is used to represent large flood flows. </p><p>The 1967–96 sub-period generated the highest 100- and 5-year peak flows overall when compared to peak flows based on the full period of record; the median difference for all 28 streamgages is 8 percent for 100- and 5-year peak flows. The 1977–2006 and 1971–2006 sub-periods also generated 100- and 5-year peak flows higher than peak flows based on the full period of record, but not as high as the peak flows based on the 1967–96 sub-period. The 1937–66 sub-period generated the lowest 100- and 5-year peak flows overall. The median difference from full-period peak flows is -11 percent for 100-year peak flows and -8 percent for 5-year peak flows. Overall, differences between peak flows based on the sub-periods and those based on the full periods, generated using the 20 unregulated streamgages, are similar to differences using all 28 streamgages. </p><p>Increases in the 5- and 100-year peak flows based on recent years of record are, in general, modest when compared to peak flows based on complete periods of record. The highest peak flows are based on the 1967–96 sub-period rather than the most recent sub-period (1977-2006). Peak flows for selected recurrence intervals are sensitive to very high peak flows that may occur once in a century or even less frequently. It is difficult, therefore, to determine which approach will produce the most reliable future estimates of peak flows for selected recurrence intervals, using only recent years of record or the traditional method using the entire historical period. One possible conservative approach to computing peak flows of selected recurrence intervals would be to compute peak flows using recent annual peak flows and the entire period of record, then choose the higher computed value. Whether recent or entire periods of record are used to compute peak flows of selected recurrence intervals, the results of this study highlight the importance of using recent data in the computation of the peak flows. The use of older records alone could result in underestimation of peak flows, particularly peak flows with short recurrence intervals, such as the 5-year peak flows.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105094","collaboration":"Prepared in cooperation with the Maine Department of Transportation","usgsCitation":"Hodgkins, G.A., 2010, Historical changes in annual peak flows in Maine and implications for flood-frequency analyses: U.S. Geological Survey Scientific Investigations Report 2010-5094, v, 38 p., https://doi.org/10.3133/sir20105094.","productDescription":"v, 38 p.","additionalOnlineFiles":"N","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":126016,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5094.jpg"},{"id":343324,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5094/pdf/sir2010-5094.pdf","text":"Report","size":"5.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":14222,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5094/","linkFileType":{"id":5,"text":"html"}}],"country":"United 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Associated with this population growth is an increased demand for domestic, public, industrial, and agricultural water supplies. The ACP sediments underlying Chesterfield County contain abundant supplies of highquality groundwater (Newcome, 2004). The U.S. Geological Survey, in cooperation with the South Carolina Department of Natural Resources is investigating the ACP groundwater resources of Chesterfield County. The initial task of the study is to establish a hydrologic data-collection network for the ACP part of the County. A groundwater-flow model and derived water budgets for the ACP aquifer that underlies most of the County will be constructed and calibrated later in the study. Both anthropogenic and natural groundwater contaminants that have been identified in the study area will be quantified and described as part of a companion study.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"2010 South Carolina Water Resources Conference","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"2010 South Carolina Water Resources Conference","conferenceDate":"October 13-14 2010","conferenceLocation":"Columbia, South Carolina","language":"English","publisher":"Clemson University Center for Watershed Excellence","usgsCitation":"Campbell, B.G., and Landmeyer, J., 2010, Development of a conceptual model of groundwater flow, Chesterfield County, South Carolina, <i>in</i> 2010 South Carolina Water Resources Conference, Columbia, South Carolina, October 13-14 2010, 4 p.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":307644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307643,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://tigerprints.clemson.edu/scwrc/2010/"}],"country":"United States","state":"South Carolina","county":"Chesterfield County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-80.32,34.8137],[-80.2121,34.8121],[-79.9763,34.8089],[-79.9248,34.8084],[-79.9345,34.8027],[-79.9346,34.7977],[-79.9277,34.7681],[-79.9244,34.7645],[-79.9044,34.752],[-79.8945,34.7437],[-79.8864,34.7269],[-79.8781,34.7159],[-79.8723,34.694],[-79.8536,34.672],[-79.8408,34.6696],[-79.8298,34.6568],[-79.8175,34.659],[-79.8092,34.6511],[-79.7959,34.6478],[-79.7959,34.6456],[-79.7987,34.6429],[-79.8021,34.6402],[-79.7927,34.6337],[-79.7916,34.6324],[-79.7894,34.631],[-79.79,34.6296],[-79.7912,34.6242],[-79.7852,34.6182],[-79.7791,34.6159],[-79.778,34.6131],[-79.7831,34.6077],[-79.787,34.6064],[-79.7937,34.606],[-79.7992,34.6102],[-79.8026,34.6102],[-79.8054,34.608],[-79.8095,34.5989],[-79.809,34.593],[-79.8085,34.5862],[-79.8103,34.5807],[-79.8148,34.5758],[-79.8183,34.5722],[-79.8289,34.5346],[-79.8378,34.5356],[-79.8423,34.5343],[-79.8474,34.5289],[-79.8592,34.5204],[-79.8621,34.5104],[-79.8723,34.5041],[-79.8746,34.5001],[-79.8852,34.4943],[-79.8931,34.4916],[-79.902,34.4921],[-79.9125,34.4963],[-79.9203,34.4973],[-79.9422,34.4902],[-79.9623,34.4868],[-79.9673,34.4891],[-79.9733,34.4969],[-79.9772,34.4992],[-79.9877,34.5002],[-80.0001,34.4971],[-80.0141,34.4904],[-80.0247,34.4855],[-80.0336,34.4874],[-80.0425,34.4916],[-80.2867,34.3711],[-80.2871,34.3929],[-80.2993,34.3975],[-80.3053,34.4089],[-80.3108,34.4144],[-80.3141,34.4226],[-80.3224,34.4272],[-80.3318,34.4409],[-80.3272,34.4522],[-80.3304,34.4731],[-80.3273,34.499],[-80.3289,34.5081],[-80.3378,34.5145],[-80.3456,34.5146],[-80.3534,34.5205],[-80.3566,34.5346],[-80.3715,34.5506],[-80.3743,34.5597],[-80.3742,34.5679],[-80.3814,34.5761],[-80.3791,34.5865],[-80.3951,34.603],[-80.4079,34.613],[-80.4168,34.6162],[-80.4122,34.6271],[-80.4228,34.6344],[-80.4339,34.6404],[-80.4344,34.6477],[-80.4305,34.6576],[-80.4332,34.6599],[-80.4394,34.6604],[-80.4488,34.6682],[-80.4516,34.6759],[-80.4599,34.6787],[-80.476,34.6983],[-80.4871,34.7061],[-80.4904,34.7229],[-80.5153,34.7593],[-80.5141,34.7666],[-80.5247,34.7707],[-80.5303,34.7798],[-80.5437,34.7853],[-80.5559,34.8013],[-80.5614,34.8157],[-80.4444,34.8148],[-80.32,34.8137]]]},\"properties\":{\"name\":\"Chesterfield\",\"state\":\"SC\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e034b6e4b0f42e3d040dfc","contributors":{"authors":[{"text":"Campbell, Bruce G. 0000-0003-4800-6674 bcampbel@usgs.gov","orcid":"https://orcid.org/0000-0003-4800-6674","contributorId":995,"corporation":false,"usgs":true,"family":"Campbell","given":"Bruce","email":"bcampbel@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":570453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":570454,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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