Analyses of observational data can provide insights into relationships between environmental conditions and biological responses across a broader range of natural conditions than experimental studies, potentially complementing insights gained from experiments. However, observational data must be analyzed carefully to minimize the likelihood that confounding variables bias observed relationships. Propensity scores provide a robust approach for controlling for the effects of measured confounding variables when analyzing observational data. Here, we use propensity scores to estimate changes in mean invertebrate taxon richness in streams that have experienced insecticide concentrations that exceed aquatic life use benchmark concentrations. A simple comparison of richness in sites exposed to elevated insecticides with those that were not exposed suggests that exposed sites had on average 6.8 fewer taxa compared to unexposed sites. The presence of potential confounding variables makes it difficult to assert a causal relationship from this simple comparison. After controlling for confounding factors using propensity scores, the difference in richness between exposed and unexposed sites was reduced to 4.1 taxa, a difference that was still statistically significant. Because the propensity score analysis controlled for the effects of a wide variety of possible confounding variables, we infer that the change in richness observed in the propensity score analysis was likely caused by insecticide exposure.
","language":"English","publisher":"SETAC","doi":"10.1897/08-551.1","usgsCitation":"Yuan, L.L., Pollard, A., and Carlisle, D.M., 2009, Using propensity scores to estimate the effects of insecticides on stream invertebrates from observational data: Environmental Toxicology and Chemistry, v. 28, no. 7, p. 1518-1527, https://doi.org/10.1897/08-551.1.","productDescription":"10 p.","startPage":"1518","endPage":"1527","ipdsId":"IP-006181","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":347467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2009-07-01","publicationStatus":"PW","scienceBaseUri":"5a07f84fe4b09af898c8ce0e","contributors":{"authors":[{"text":"Yuan, Lester L.","contributorId":198316,"corporation":false,"usgs":false,"family":"Yuan","given":"Lester","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":715682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pollard, Amina I.","contributorId":198315,"corporation":false,"usgs":false,"family":"Pollard","given":"Amina I.","affiliations":[],"preferred":false,"id":715681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":715680,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97277,"text":"fs20083103 - 2009 - Floods of Selected Streams in Arkansas, Spring 2008","interactions":[],"lastModifiedDate":"2012-02-10T00:11:47","indexId":"fs20083103","displayToPublicDate":"2009-02-11T00:00:00","publicationYear":"2009","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":"2008-3103","title":"Floods of Selected Streams in Arkansas, Spring 2008","docAbstract":"Floods can cause loss of life and extensive destruction to property. Monitoring floods and understanding the reasons for their occurrence are the responsibility of many Federal agencies. The National Weather Service, the U.S. Army Corps of Engineers, and the U.S. Geological Survey are among the most visible of these agencies. Together, these three agencies collect and analyze floodflow information to better understand the variety of mechanisms that cause floods, and how the characteristics and frequencies of floods vary with time and location.\r\n\r\nThe U.S. Geological Survey (USGS) has monitored and assessed the quantity of streamflow in our Nation's streams since the agency's inception in 1879. Because of ongoing collection and assessment of streamflow data, the USGS can provide information about a range of surface-water issues including the suitability of water for public supply and irrigation and the effects of agriculture and urbanization on streamflow. As part of its streamflow-data collection activities, the USGS measured streamflow in multiple streams during extreme flood events in Arkansas in the spring of 2008. The analysis of streamflow information collected during flood events such as these provides a scientific basis for decision making related to resource management and restoration. Additionally, this information can be used by water-resource managers to better define flood-hazard areas and to design bridges, culverts, dams, levees, and other structures.\r\n\r\nWater levels (stage) and streamflow (discharge) currently are being monitored in near real-time at approximately 150 locations in Arkansas. The streamflow-gaging stations measure and record hydrologic data at 15-minute or hourly intervals; the data then are transmitted through satellites to the USGS database and displayed on the internet every 1 to 4 hours. Streamflow-gaging stations in Arkansas are part of a network of over 7,500 active streamflow-gaging stations operated by the USGS throughout the United States in cooperation with other Federal, State, and local government agencies. In Arkansas, the major supporters of the streamflow-gaging network are the U.S. Army Corps of Engineers, Arkansas Natural Resources Commission, Arkansas Department of Environmental Quality, and Arkansas Geological Survey. Many other Federal, State, and local government entities provide additional support for streamflow-gaging stations. It is the combined support of the USGS and all funding partners that make it possible to maintain an adequate streamflow-gaging network in Arkansas. Data collected over the years at streamflow-gaging stations can be used to characterize the relative magnitude of flood events and their statistical frequency of occurrence. These analyses provide water-resource managers with accurate and reliable hydrologic information based on present and historical flow conditions. Continued collection of streamflow data, with consideration of changes in land use, agricultural practices, and climate change, will help scientists to more accurately characterize the magnitude of extreme floods in the future.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20083103","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Little Rock and Memphis Districts","usgsCitation":"Funkhouser, J.E., and Eng, K., 2009, Floods of Selected Streams in Arkansas, Spring 2008: U.S. Geological Survey Fact Sheet 2008-3103, 4 p., https://doi.org/10.3133/fs20083103.","productDescription":"4 p.","temporalStart":"2008-03-01","temporalEnd":"2008-04-30","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":124641,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3103.jpg"},{"id":12328,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3103/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95,32.5 ], [ -95,37 ], [ -89,37 ], [ -89,32.5 ], [ -95,32.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d8e4b07f02db5df7ee","contributors":{"authors":[{"text":"Funkhouser, Jaysson E. jefunkho@usgs.gov","contributorId":772,"corporation":false,"usgs":true,"family":"Funkhouser","given":"Jaysson","email":"jefunkho@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":301559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eng, Ken","contributorId":89480,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","affiliations":[],"preferred":false,"id":301560,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97282,"text":"ofr20091020 - 2009 - Geochemical Analyses of Rock, Sediment, and Water from the Region In and Around the Tuba City Landfill, Tuba City, Arizona","interactions":[],"lastModifiedDate":"2012-02-10T00:11:45","indexId":"ofr20091020","displayToPublicDate":"2009-02-11T00:00:00","publicationYear":"2009","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":"2009-1020","title":"Geochemical Analyses of Rock, Sediment, and Water from the Region In and Around the Tuba City Landfill, Tuba City, Arizona","docAbstract":"The Tuba City Landfill (TCL) started as an unregulated waste disposal site in the 1940s and was administratively closed in 1997. Since the TCL closure, radionuclides have been detected in the shallow ground water. In 2006, the Bureau of Indian Affairs (BIA) contracted with the U.S. Geological Survey (USGS) to better understand the source of radionuclides in the ground water at the TCL compared to the surrounding region. This report summarizes those data and presents interpretations that focus on the geochemistry in the rocks and water from the Tuba City region.\r\n\r\nThe TCL is sited on Navajo Sandstone above the contact with the Kayenta Formation. These formations are not rich in uranium but generally are below average crustal abundance values for uranium. Uranium ores in the area were mined nearby in the Chinle Formation and processed at the Rare Metals mill (RMM). Regional samples of rock, sediment, leachates, and water were collected in and around the TCL site and analyzed for major and minor elements, 18O, 2H, 3H, 13C, 14C,34S, 87Sr, and 234U/238U, as appropriate. Results of whole rock and sediment samples, along with leachates, suggest the Chinle Formation is a major source of uranium and other trace elements in the area. Regional water samples indicate that some of the wells within the TCL site have geochemical signatures that are different from the regional springs and surface water. The geochemistry from these TCL wells is most similar to leachates from the Chinle Formation rocks and sediments. Isotope samples do not uniquely identify TCL-derived waters, but they do provide a useful indicator for shallow compared to deep ground-water flow paths and general rock/water interaction times. Information in this report provides a comparison between the geochemistry within the TCL and in the region as a whole.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091020","collaboration":"Prepared in cooperation with the Bureau of Indian Affairs","usgsCitation":"Johnson, R.H., and Wirt, L., 2009, Geochemical Analyses of Rock, Sediment, and Water from the Region In and Around the Tuba City Landfill, Tuba City, Arizona: U.S. Geological Survey Open-File Report 2009-1020, viii, 44 p., https://doi.org/10.3133/ofr20091020.","productDescription":"viii, 44 p.","onlineOnly":"Y","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195485,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12333,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1020/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.41666666666667,36 ], [ -111.41666666666667,36.25 ], [ -111,36.25 ], [ -111,36 ], [ -111.41666666666667,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae9f0","contributors":{"authors":[{"text":"Johnson, Raymond H. rhjohnso@usgs.gov","contributorId":707,"corporation":false,"usgs":true,"family":"Johnson","given":"Raymond","email":"rhjohnso@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":301576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wirt, Laurie","contributorId":13204,"corporation":false,"usgs":true,"family":"Wirt","given":"Laurie","affiliations":[],"preferred":false,"id":301577,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97274,"text":"ofr20091014 - 2009 - Seasonal Distribution and Abundance of Larval and Juvenile Lost River and Shortnose Suckers in Hanks Marsh, Upper Klamath National Wildlife Refuge, Upper Klamath Lake, Oregon: 2007 Annual Report","interactions":[],"lastModifiedDate":"2012-02-02T00:15:12","indexId":"ofr20091014","displayToPublicDate":"2009-02-11T00:00:00","publicationYear":"2009","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":"2009-1014","title":"Seasonal Distribution and Abundance of Larval and Juvenile Lost River and Shortnose Suckers in Hanks Marsh, Upper Klamath National Wildlife Refuge, Upper Klamath Lake, Oregon: 2007 Annual Report","docAbstract":"In the summer of 2007, we undertook an assessment of larval and juvenile sucker use of Hanks Marsh in Upper Klamath Lake, Oregon. This 1,200-acre marsh on the southeastern shoreline of the lake represents part of the last remaining natural emergent wetland habitat in the lake. Because of the suspected importance of this type of habitat to larval and juvenile endangered Lost River and shortnose suckers, it was thought that sucker abundance in the marsh might be comparatively greater than in other non-vegetated areas of the lake. It also was hoped that Hanks Marsh would serve as a reference site for wetland restoration projects occurring in other areas of the lake. Our study had four objectives: to (1) examine seasonal distribution and relative abundance of larval suckers in and adjacent to Hanks Marsh in relation to habitat features such as depth, vegetation, water quality, and relative abundance of non-sucker species; (2) determine the presence or absence and describe the distribution of juvenile suckers [35 to 80 mm standard length (SL)] along the periphery of Hanks Marsh; (3) assess spatial and temporal overlap between larval suckers and their potential predators; and (4) assess suitability of water quality throughout the summer for young-of-the-year suckers. Due to the low number of suckers found in the marsh and our inability to thoroughly sample all marsh habitats due to declining lake levels during the summer, we were unable to completely address these objectives in this pilot study. The results, however, do give some indication of the relative use of Hanks Marsh by sucker and non-sucker species.\r\n\r\nThrough sampling of larval and juvenile suckers in various habitat types within the marsh, we determined that sucker use of Hanks Marsh may be very low in comparison with other areas of the lake. We caught only 42 larval and 19 juvenile suckers during 12 weeks of sampling throughout the marsh. Sucker catches were rare in Hanks Marsh, and were lower than catch rates in other marshes of Upper Klamath Lake and in other nearshore and offshore areas of the lake. Based on the few suckers we did capture in Hanks Marsh, larvae tended to be found more often in vegetated habitats. A modified sampling design and approach may be necessary to address the objectives in this study, given that declining lake-surface elevation prevented us from adequately sampling all portions of the marsh throughout the sampling season. \r\n\r\nCommon non-sucker species in Hanks Marsh included juvenile and adult brown bullhead, larval blue chub, tui chub, fathead minnow, and yellow perch. This species composition was similar to that of other marshes in Upper Klamath Lake but most species were found in lower numbers in Hanks Marsh than other marshes. It may be that use of Hanks Marsh is limited by poor water quality, which we found to exist at many sites after June. It also may be that access to or habitat in the marsh is limited at certain times of the year by low water. Although the results from this initial study of Hanks Marsh indicate that the area may have little direct benefit for sucker species, indirect benefits for these species possibly may come from its positive influence on some aspects of water quality in the lake, such as regulation of pH. It also may be the case that use of Hanks Marsh may vary by year and conditions; however, under the current scope of the study, we were unable to investigate inter-annual variability.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091014","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Anderson, G.O., Wilkens, A.X., Burdick, S.M., and VanderKooi, S., 2009, Seasonal Distribution and Abundance of Larval and Juvenile Lost River and Shortnose Suckers in Hanks Marsh, Upper Klamath National Wildlife Refuge, Upper Klamath Lake, Oregon: 2007 Annual Report: U.S. Geological Survey Open-File Report 2009-1014, v, 36 p., https://doi.org/10.3133/ofr20091014.","productDescription":"v, 36 p.","temporalStart":"2007-04-01","temporalEnd":"2007-07-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":196479,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12325,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1014/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc461","contributors":{"authors":[{"text":"Anderson, Greer O.","contributorId":24459,"corporation":false,"usgs":true,"family":"Anderson","given":"Greer","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":301554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilkens, Alexander X.","contributorId":62688,"corporation":false,"usgs":true,"family":"Wilkens","given":"Alexander","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":301555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":301553,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"VanderKooi, Scott P.","contributorId":106584,"corporation":false,"usgs":true,"family":"VanderKooi","given":"Scott P.","affiliations":[],"preferred":false,"id":301556,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97272,"text":"sir20085206 - 2009 - Estimation of Flood Discharges at Selected Recurrence Intervals for Streams in New Hampshire","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"sir20085206","displayToPublicDate":"2009-02-07T00:00:00","publicationYear":"2009","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":"2008-5206","title":"Estimation of Flood Discharges at Selected Recurrence Intervals for Streams in New Hampshire","docAbstract":"This report provides estimates of flood discharges at selected recurrence intervals for streamgages in and adjacent to New Hampshire and equations for estimating flood discharges at recurrence intervals of 2-, 5-, 10-, 25-, 50-, 100-, and 500-years for ungaged, unregulated, rural streams in New Hampshire. The equations were developed using generalized least-squares regression. Flood-frequency and drainage-basin characteristics from 117 streamgages were used in developing the equations. The drainage-basin characteristics used as explanatory variables in the regression equations include drainage area, mean April precipitation, percentage of wetland area, and main channel slope. The average standard error of prediction for estimating the 2-, 5-, 10-, 25-, 50-, 100-, and 500-year recurrence interval flood discharges with these equations are 30.0, 30.8, 32.0, 34.2, 36.0, 38.1, and 43.4 percent, respectively.\r\n\r\nFlood discharges at selected recurrence intervals for selected streamgages were computed following the guidelines in Bulletin 17B of the U.S. Interagency Advisory Committee on Water Data. To determine the flood-discharge exceedence probabilities at streamgages in New Hampshire, a new generalized skew coefficient map covering the State was developed. The standard error of the data on new map is 0.298. To improve estimates of flood discharges at selected recurrence intervals for 20 streamgages with short-term records (10 to 15 years), record extension using the two-station comparison technique was applied. The two-station comparison method uses data from a streamgage with long-term record to adjust the frequency characteristics at a streamgage with a short-term record.\r\n\r\nA technique for adjusting a flood-discharge frequency curve computed from a streamgage record with results from the regression equations is described in this report. Also, a technique is described for estimating flood discharge at a selected recurrence interval for an ungaged site upstream or downstream from a streamgage using a drainage-area adjustment. The final regression equations and the flood-discharge frequency data used in this study will be available in StreamStats. StreamStats is a World Wide Web application providing automated regression-equation solutions for user-selected sites on streams.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085206","isbn":"9781411323322","collaboration":"Prepared in cooperation with the New Hampshire Department of Transportation","usgsCitation":"Olson, S.A., 2009, Estimation of Flood Discharges at Selected Recurrence Intervals for Streams in New Hampshire: U.S. Geological Survey Scientific Investigations Report 2008-5206, vi, 52 p., https://doi.org/10.3133/sir20085206.","productDescription":"vi, 52 p.","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":195265,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12322,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5206/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.5,42 ], [ -73.5,45.5 ], [ -70,45.5 ], [ -70,42 ], [ -73.5,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db635f44","contributors":{"authors":[{"text":"Olson, Scott A. 0000-0002-1064-2125 solson@usgs.gov","orcid":"https://orcid.org/0000-0002-1064-2125","contributorId":2059,"corporation":false,"usgs":true,"family":"Olson","given":"Scott","email":"solson@usgs.gov","middleInitial":"A.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301550,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97269,"text":"ofr20091011 - 2009 - Total selenium and selenium species in irrigation drain inflows to the Salton Sea, California, April and July 2008","interactions":[],"lastModifiedDate":"2017-01-31T14:46:28","indexId":"ofr20091011","displayToPublicDate":"2009-02-07T00:00:00","publicationYear":"2009","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":"2009-1011","title":"Total selenium and selenium species in irrigation drain inflows to the Salton Sea, California, April and July 2008","docAbstract":"This report presents the results for two sampling periods (April 2008 and July 2008) during a 4-year monitoring program to characterize selenium concentrations in selected irrigation drains flowing into the Salton Sea, California. Total selenium, selenium species (dissolved selenite, selenate, organoselenium), and total suspended solids were determined in water samples and total selenium was determined in water column particulates and in sediment, detritus, and biota that included algae, plankton, midge larvae (family, Chironomidae), and two fish species - western mosquitofish (Gambusia affinis) and sailfin molly (Poecilia latipinna). In addition, sediments were analyzed for percent total organic carbon and particle size. Mean total selenium concentrations in water for both sampling periods ranged from 1.93 to 44.2 micrograms per liter, predominately as selenate, which is typical of waters where selenium is leached out of selenium-containing marine shales and associated soils under alkaline and oxidizing conditions. Total selenium concentrations (micrograms per gram dry weight) ranged as follows: algae, 0.75 to 3.39; plankton, 0.88 to 4.03; midges, 2.52 to 44.3; fish, 3.37 to 18.9; detritus, 1.11 to 13.6; sediment, 0.11 to 8.93.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091011","usgsCitation":"May, T.W., Walther, M., Saiki, M.K., and Brumbaugh, W.G., 2009, Total selenium and selenium species in irrigation drain inflows to the Salton Sea, California, April and July 2008: U.S. Geological Survey Open-File Report 2009-1011, iv, 18 p., https://doi.org/10.3133/ofr20091011.","productDescription":"iv, 18 p.","onlineOnly":"Y","temporalStart":"2008-04-01","temporalEnd":"2008-07-31","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":196290,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12319,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1011/","linkFileType":{"id":5,"text":"html"}},{"id":334501,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2009/1011/pdf/OF2009_1011.pdf","size":"508 kB","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629a52","contributors":{"authors":[{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":301542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walther, Michael J. mwalther@usgs.gov","contributorId":2852,"corporation":false,"usgs":true,"family":"Walther","given":"Michael J.","email":"mwalther@usgs.gov","affiliations":[],"preferred":true,"id":301543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saiki, Michael K.","contributorId":54671,"corporation":false,"usgs":true,"family":"Saiki","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":301544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":301541,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97260,"text":"ofr20081206 - 2009 - Coastal change along the shore of northeastern South Carolina: The South Carolina Coastal Erosion Study","interactions":[],"lastModifiedDate":"2022-07-05T19:52:07.636972","indexId":"ofr20081206","displayToPublicDate":"2009-02-06T00:00:00","publicationYear":"2009","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":"2008-1206","title":"Coastal change along the shore of northeastern South Carolina: The South Carolina Coastal Erosion Study","docAbstract":"The U.S. Geological Survey, in cooperation with the South Carolina Sea Grant Consortium, conducted a 7-year, multi-disciplinary study of coastal erosion in northeastern South Carolina. The main objective was to understand the geologic and oceanographic processes that control sediment movement along the region's shoreline and thereby improve projections of coastal change. The study used high-resolution remote sensing and sampling techniques to define the geologic framework and assess historic shoreline change. Based on these findings, oceanographic-process studies and numerical modeling were carried out to determine the rates and directions of sediment transport along South Carolina's Grand Strand.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081206","collaboration":"Prepared in cooperation with the South Carolina Sea Grant Consortium","usgsCitation":"2009, Coastal change along the shore of northeastern South Carolina: The South Carolina Coastal Erosion Study: U.S. Geological Survey Open-File Report 2008-1206, HTML Document, https://doi.org/10.3133/ofr20081206.","productDescription":"HTML Document","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":195109,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":403010,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86342.htm","linkFileType":{"id":5,"text":"html"}},{"id":12310,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1206/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.244384765625,\n 33.261656767328006\n ],\n [\n -78.673095703125,\n 33.261656767328006\n ],\n [\n -78.673095703125,\n 33.8339199536547\n ],\n [\n -79.244384765625,\n 33.8339199536547\n ],\n [\n -79.244384765625,\n 33.261656767328006\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aec69","contributors":{"editors":[{"text":"Barnhardt, W. A.","contributorId":86449,"corporation":false,"usgs":true,"family":"Barnhardt","given":"W. A.","affiliations":[],"preferred":false,"id":726034,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}} ,{"id":97262,"text":"ofr20081364 - 2009 - Investigation of coastal hydrogeology utilizing geophysical and geochemical tools along the Broward County coast, Florida","interactions":[],"lastModifiedDate":"2023-12-07T17:08:10.560415","indexId":"ofr20081364","displayToPublicDate":"2009-02-06T00:00:00","publicationYear":"2009","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":"2008-1364","title":"Investigation of coastal hydrogeology utilizing geophysical and geochemical tools along the Broward County coast, Florida","docAbstract":"Geophysical (CHIRP, boomer, and continuous direct-current resistivity) and geochemical tracer studies (continuous and time-series 222Radon) were conducted along the Broward County coast from Port Everglades to Hillsboro Inlet, Florida. Simultaneous seismic, direct-current resistivity, and radon surveys in the coastal waters provided information to characterize the geologic framework and identify potential groundwater-discharge sites. Time-series radon at the Nova Southeastern University National Coral Reef Institute (NSU/NCRI) seawall indicated a very strong tidally modulated discharge of ground water with 222Rn activities ranging from 4 to 10 disintegrations per minute per liter depending on tidal stage. CHIRP seismic data provided very detailed bottom profiles (i.e., bathymetry); however, acoustic penetration was poor and resulted in no observed subsurface geologic structure. Boomer data, on the other hand, showed features that are indicative of karst, antecedent topography (buried reefs), and sand-filled troughs. Continuous resistivity profiling (CRP) data showed slight variability in the subsurface along the coast. Subtle changes in subsurface resistivity between nearshore (higher values) and offshore (lower values) profiles may indicate either a freshening of subsurface water nearshore or a change in sediment porosity or lithology. Further lithologic and hydrologic controls from sediment or rock cores or well data are needed to constrain the variability in CRP data.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081364","usgsCitation":"Reich, C.D., Swarzenski, P.W., Greenwood, W.J., and Wiese, D.S., 2009, Investigation of coastal hydrogeology utilizing geophysical and geochemical tools along the Broward County coast, Florida: U.S. Geological Survey Open-File Report 2008-1364, Report: v, 21 p.; 3 Appendixes, https://doi.org/10.3133/ofr20081364.","productDescription":"Report: v, 21 p.; 3 Appendixes","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":12312,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1364/","linkFileType":{"id":5,"text":"html"}},{"id":388198,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86340.htm"},{"id":198107,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Florida","county":"Broward County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.14114379882812,\n 25.96792222903405\n ],\n [\n -79.969482421875,\n 25.96792222903405\n ],\n [\n -79.969482421875,\n 26.295877391487554\n ],\n [\n -80.14114379882812,\n 26.295877391487554\n ],\n [\n -80.14114379882812,\n 25.96792222903405\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48b2e4b07f02db530d58","contributors":{"authors":[{"text":"Reich, Christopher D. 0000-0002-2534-1456 creich@usgs.gov","orcid":"https://orcid.org/0000-0002-2534-1456","contributorId":900,"corporation":false,"usgs":true,"family":"Reich","given":"Christopher","email":"creich@usgs.gov","middleInitial":"D.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":301523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":301524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greenwood, W. Jason","contributorId":40315,"corporation":false,"usgs":true,"family":"Greenwood","given":"W.","email":"","middleInitial":"Jason","affiliations":[],"preferred":false,"id":301526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":301525,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97268,"text":"sir20095002 - 2009 - Water use in Georgia by county for 2005; and water-use trends, 1980-2005","interactions":[],"lastModifiedDate":"2022-12-26T14:25:31.406981","indexId":"sir20095002","displayToPublicDate":"2009-02-06T00:00:00","publicationYear":"2009","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":"2009-5002","title":"Water use in Georgia by county for 2005; and water-use trends, 1980-2005","docAbstract":"Water use for 2005 for each county in Georgia was estimated using data obtained from various Federal and State agencies and local sources. Total consumptive water use also was estimated for each county in Georgia for 2005. Estimates of offstream water use include the categories of public supply, domestic, commercial, industrial, mining, irrigation, livestock, and thermoelectric power. The only category of instream use estimated was hydroelectric-power generation.
Total offstream water use from ground- and surface-water sources was about 5,471 million gallons per day (Mgal/d) in 2005. Surface water used in the process of thermoelectric-power generation was the largest volume of water withdrawn with withdrawals of 2,717 Mgal/d in 2005. Estimated instream water use for hydroelectric-power generation was 54,096 Mgal/d. Withdrawals for irrigation totaled 752 Mgal/d with 65 percent supplied by ground-water sources. Surface water provided 78 percent of the 1,180 Mgal/d withdrawn for public supply. Many counties in the northern Piedmont physiographic province of Georgia, an area of dense population, had a large percentage of withdrawals from surface-water sources. In contrast, in the southern Coastal Plain physiographic province part of the State, many counties had more withdrawals from ground-water sources.
As part of the Georgia Water-Use Program, statewide water-use estimates have been compiled every 5 years since 1980. During this period, water use was greatest in 1980 at 6,725 Mgal/d. Water use decreased by 31 percent to 5,353 Mgal/d in 1990 then increased to 6,487 Mgal/d in 2000. By 2005, water withdrawals had decreased to an estimated 5,471 Mgal/d primarily because of a decline in withdrawals for thermoelectric-power generation and a decline in demands as 2005 was a normal year for precipitation compared to 2000, which was in drought. Throughout the period 1980–2005, water withdrawn for thermoelectric-power generation made up the largest volume of offstream water use in Georgia. Total withdrawals for thermoelectric-power generation decreased about 24 percent in 2005 compared to 2000, due to the decommissioning of three power plants in the State. In addition, several plants operated by Georgia Power Company were retooled during this period to increase water conservation. Public-supply use steadily increased from 1980 to 2000, concurrent with increasing population in the State; however, in 2005, there was a slight decrease in public-supply use. Conversely, industrial water use decreased during the period 1980–2005. Water withdrawals for irrigation during 1980–2005 followed changing hydrologic conditions, increasing during drier years (1980 and 2000) and decreasing during normal or wetter years. Withdrawals for the categories of domestic and commercial use remained about the same during 1980–2005. Livestock and mining use increased in 2005 compared to the 2000 estimates because of changes in estimation techniques.
Consumptive water use was determined for each category of use and compiled for each county. Estimation techniques vary for each water-use category. While consumptive use varied for each county in 2005, from about 1 percent to nearly 100 percent of total withdrawals, consumptive-use estimates for the entire State totaled 1,310 Mgal/d, about 24 percent of total withdrawals.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095002","collaboration":"Prepared in cooperation with the Georgia Department of Natural Resources, Environmental Protection Division","usgsCitation":"Fanning, J.L., and Trent, V.P., 2009, Water use in Georgia by county for 2005; and water-use trends, 1980-2005: U.S. Geological Survey Scientific Investigations Report 2009-5002, iv, 186 p., https://doi.org/10.3133/sir20095002.","productDescription":"iv, 186 p.","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":123178,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5002.jpg"},{"id":411011,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_96493.htm","linkFileType":{"id":5,"text":"html"}},{"id":110963,"rank":2,"type":{"id":15,"text":"Index 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd1a9","contributors":{"authors":[{"text":"Fanning, Julia L.","contributorId":73981,"corporation":false,"usgs":true,"family":"Fanning","given":"Julia","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":301540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trent, Victoria P.","contributorId":59141,"corporation":false,"usgs":true,"family":"Trent","given":"Victoria","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":301539,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70147902,"text":"70147902 - 2009 - Bycatch of the endangered pallid sturgeon (Scaphirhynchus albus) in a commercial fishery for shovelnose sturgeon (Scaphirhynchus platorynchus)","interactions":[],"lastModifiedDate":"2017-06-14T14:42:47","indexId":"70147902","displayToPublicDate":"2009-02-01T14:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Bycatch of the endangered pallid sturgeon (Scaphirhynchus albus) in a commercial fishery for shovelnose sturgeon (Scaphirhynchus platorynchus)","title":"Bycatch of the endangered pallid sturgeon (Scaphirhynchus albus) in a commercial fishery for shovelnose sturgeon (Scaphirhynchus platorynchus)","docAbstract":"We quantified the bycatch of pallid sturgeon Scaphirhynchus albus in Tennessee's shovelnose sturgeon (Scaphirhynchus platorynchus) fishery by accompanying commercial fishers and monitoring their catch on five dates in spring 2007. Fishers were free to keep or discard any sturgeon they collected in their gillnets and trotlines and we were afforded the opportunity to collect meristic and morphometric data and tissue samples from discarded and harvested specimens. Fishers removed 327 live sturgeon from their gear in our presence, of which 93 were harvested; we also obtained the carcasses of 20 sturgeon that a fisher harvested out of our sight while we were on the water with another fisher. Two of the 113 harvested sturgeon were confirmed pallid sturgeon based on microsatellite DNA analyses. Additionally, fishers gave us five, live pallid sturgeon that they had removed from their gear. If the incidental harvest rate of pallid sturgeon (1.8% of all sturgeon harvested) was similar in the previous two commercial seasons, at least 169 adult pallid sturgeon were harvested by commercial fishers in the Tennessee waters of the Mississippi River in 2005-2007. If fishers altered their behavior because of our presence (i.e. if they were more conservative in what they harvested), the pallid sturgeon take was probably higher when they fished unaccompanied by observers. While retrieving a gill net set the previous day, a fisher we were accompanying retrieved a gillnet lost 2 days earlier; this ghost net caught 53 sturgeon whereby one fish was harvested but most fish were dead, including one confirmed pallid sturgeon.
","language":"English","publisher":"Wiley-Blackwell","publisherLocation":"Berlin","doi":"10.1111/j.1439-0426.2008.01183.x","usgsCitation":"Bettoli, P.W., Casto-Yerty, M., Scholten, G., and Heist, E., 2009, Bycatch of the endangered pallid sturgeon (Scaphirhynchus albus) in a commercial fishery for shovelnose sturgeon (Scaphirhynchus platorynchus): Journal of Applied Ichthyology, v. 25, no. 1, p. 1-4, https://doi.org/10.1111/j.1439-0426.2008.01183.x.","productDescription":"4 p.","startPage":"1","endPage":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-009105","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":476096,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1439-0426.2008.01183.x","text":"Publisher Index Page"},{"id":300303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5551d2afe4b0a92fa7e93bd7","contributors":{"authors":[{"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":546358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casto-Yerty, M.","contributorId":68985,"corporation":false,"usgs":true,"family":"Casto-Yerty","given":"M.","email":"","affiliations":[],"preferred":false,"id":546694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholten, G.D.","contributorId":39184,"corporation":false,"usgs":true,"family":"Scholten","given":"G.D.","email":"","affiliations":[],"preferred":false,"id":546695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heist, Edward J.","contributorId":44849,"corporation":false,"usgs":true,"family":"Heist","given":"Edward J.","affiliations":[],"preferred":false,"id":546696,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70043426,"text":"70043426 - 2009 - Modeling Carbon Dioxide, pH and Un-Ionized Ammonia Relationships in Serial Reuse Systems","interactions":[],"lastModifiedDate":"2013-02-14T14:03:04","indexId":"70043426","displayToPublicDate":"2009-02-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":852,"text":"Aquacultural Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Modeling Carbon Dioxide, pH and Un-Ionized Ammonia Relationships in Serial Reuse Systems","docAbstract":"In serial reuse systems, excretion of metabolic carbon dioxide has a significant impact on ambient pH, carbon dioxide, and un-ionized ammonia concentrations. This impact depends strongly on alkalinity, water flow rate, feeding rate, and loss of carbon dioxide to the atmosphere. A reduction in pH from metabolic carbon dioxide can significantly reduce the un-ionized ammonia concentration and increase the carbon dioxide concentrations compared to those parameters computed from influent pH. The ability to accurately predict pH in serial reuse systems is critical to their design and effective operation.\n\nA trial and error solution to the alkalinity–pH system was used to estimate important water quality parameters in serial reuse systems. Transfer of oxygen and carbon dioxide across the air–water interface, at overflow weirs, and impacts of substrate-attached algae and suspended bacteria were modeled. Gas transfer at the weirs was much greater than transfer across the air–water boundary.\n\nThis simulation model can rapidly estimate influent and effluent concentrations of dissolved oxygen, carbon dioxide, and un-ionized ammonia as a function of water temperature, elevation, water flow, and weir type. The accuracy of the estimates strongly depends on assumed pollutional loading rates and gas transfer at the weirs. The current simulation model is based on mean daily loading rates; the impacts of daily variation loading rates are discussed. Copies of the source code and executable program are available free of charge.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquacultural Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.aquaeng.2008.10.004","usgsCitation":"Watten, B.J., Rust, M., and Colt, J., 2009, Modeling Carbon Dioxide, pH and Un-Ionized Ammonia Relationships in Serial Reuse Systems: Aquacultural Engineering, v. 40, no. 1, p. 28-44, https://doi.org/10.1016/j.aquaeng.2008.10.004.","startPage":"28","endPage":"44","ipdsId":"IP-011562","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":267411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267410,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.aquaeng.2008.10.004"}],"country":"United States","volume":"40","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511e1592e4b071e86a19a47b","contributors":{"authors":[{"text":"Watten, Barnaby J. 0000-0002-2227-8623 bwatten@usgs.gov","orcid":"https://orcid.org/0000-0002-2227-8623","contributorId":2002,"corporation":false,"usgs":true,"family":"Watten","given":"Barnaby","email":"bwatten@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rust, Michael","contributorId":65741,"corporation":false,"usgs":true,"family":"Rust","given":"Michael","email":"","affiliations":[],"preferred":false,"id":473562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colt, John","contributorId":63695,"corporation":false,"usgs":true,"family":"Colt","given":"John","email":"","affiliations":[],"preferred":false,"id":473561,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70154983,"text":"70154983 - 2009 - The ecology, restoration, and management of southeastern floodplain ecosystems: A synthesis","interactions":[],"lastModifiedDate":"2021-03-31T15:15:44.454957","indexId":"70154983","displayToPublicDate":"2009-02-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"The ecology, restoration, and management of southeastern floodplain ecosystems: A synthesis","docAbstract":"Floodplain ecosystems of the southeastern United States provide numerous services to society, but hydrologic and geomorphic alterations, agricultural practices, water quality and availability, and urban development continue to challenge restorationists and managers at multiple spatial and temporal scales. These challenges are further exacerbated by tremendous uncertainty regarding climate and land use patterns and natural variability in these systems. The symposium from which the papers in 2009 ensued was organized to provide a critical evaluation of current natural resource restoration and management practices to support the sustainability of floodplain ecosystem functions in the southeastern United States. In this paper we synthesize these concepts and evaluate restoration and conservation techniques in light of our understanding of these ecosystems. We also discuss current and future challenges and attempt to identify new approaches that may facilitate the long-term sustainability of southeastern floodplain systems. We conclude that integration of disciplines and approaches is necessary to meet the floodplain conservation challenges of the coming century. Integration will not only include purposeful dialogue between interdisciplinary natural resource professionals, but it also is necessary to sincerely engage the public about goals, objectives, and desirable outcomes of floodplain ecosystem restoration.
","language":"English","publisher":"Springer","doi":"10.1672/08-223.1","usgsCitation":"King, S.L., Sharitz, R.R., Groninger, J.W., and Battaglia, L.L., 2009, The ecology, restoration, and management of southeastern floodplain ecosystems: A synthesis: Wetlands, v. 29, no. 2, p. 624-634, https://doi.org/10.1672/08-223.1.","productDescription":"11 p.","startPage":"624","endPage":"634","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010296","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Southeastern Floodplain systems","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.95556640625,\n 37.90953361677018\n ],\n [\n -93.0322265625,\n 29.094577077511826\n ],\n [\n -89.97802734375,\n 28.97931203672246\n ],\n [\n -86.98974609375,\n 30.050076521698735\n ],\n [\n -84.7705078125,\n 29.516110386062277\n ],\n [\n -83.8916015625,\n 29.7453016622136\n ],\n [\n -83.27636718749999,\n 28.555576049185973\n ],\n [\n -81.82617187499999,\n 25.16517336866393\n ],\n [\n -80.5517578125,\n 24.84656534821976\n ],\n [\n -80.00244140625,\n 28.07198030177986\n ],\n [\n -81.0791015625,\n 31.147006308556566\n ],\n [\n -75.146484375,\n 35.8356283888737\n ],\n [\n -74.970703125,\n 39.04478604850143\n ],\n [\n -86.50634765625,\n 39.2832938689385\n ],\n [\n -91.95556640625,\n 39.45316112807394\n ],\n [\n -91.95556640625,\n 37.90953361677018\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b0beafe4b09a3b01b530a7","contributors":{"authors":[{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharitz, Rebecca R.","contributorId":44598,"corporation":false,"usgs":true,"family":"Sharitz","given":"Rebecca","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":565303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groninger, John W.","contributorId":70208,"corporation":false,"usgs":true,"family":"Groninger","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":565304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Battaglia, Loretta L.","contributorId":8307,"corporation":false,"usgs":true,"family":"Battaglia","given":"Loretta","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":565305,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97255,"text":"sir20085200 - 2009 - Ground-Water Temperature, Noble Gas, and Carbon Isotope Data from the Espanola Basin, New Mexico","interactions":[],"lastModifiedDate":"2012-02-10T00:11:55","indexId":"sir20085200","displayToPublicDate":"2009-01-31T00:00:00","publicationYear":"2009","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":"2008-5200","title":"Ground-Water Temperature, Noble Gas, and Carbon Isotope Data from the Espanola Basin, New Mexico","docAbstract":"Ground-water samples were collected from 56 locations throughout the Espanola Basin and analyzed for general chemistry (major ions and trace elements), carbon isotopes (delta 13C and 14C activity) in dissolved inorganic carbon, noble gases (He, Ne, Ar, Kr, Xe, and 3He/4He ratio), and tritium. Temperature profiles were measured at six locations in the southeastern part of the basin. Temperature profiles suggest that ground water generally becomes warmer with distance from the mountains and that most ground-water flow occurs at depths <250 m below ground surface. The two dominant water types in the basin are Ca/CO3+HCO3 and Na/CO3+HCO3, followed by mixed-cation/CO3+HCO3. Waters generally evolve from Ca/CO3+HCO3 to Na/CO3+HCO3 with increasing residence time through Ca-Na cation exchange with clay minerals. Basin ground water can be divided into four hydrochemical zones based on chemical and isotopic composition: West, Southeast, Northeast, and Central Deep. Hydrochemical zone boundaries are roughly correlated with contacts between geologic units or lithosome transitions within the Tesuque Formation.\r\nGeochemical mass-transfer modeling was performed using NETPATH and 14C ages were adjusted accordingly. Isotopic input parameters were varied within reasonable limits to assess uncertainty in the adjusted 14C ages. For each sample, a preferred adjusted age was selected from multiple possible adjusted ages based primarily on the fit between measured and modeled delta 13C values. The range of possible age adjustments for most samples is about 6,000 years or less, indicating that the preferred adjusted age for most samples has a total range of uncertainty of <6,000 years. Preferred adjusted ages range from 0 to 35,400 years. First-order trends in the age distribution include older ages generally occurring farther from rivers on the east side of the basin and farther from the mountains, consistent with both mountain-front recharge and recharge on the basin floor in the form of stream-loss and arroyo recharge. Ages also increase with depth in the Southeast zone, the only area where discrete-depth samples could be collected.\r\nRecharge temperatures derived from noble gas concentrations were used in conjunction with an empirically derived local relationship between recharge temperature and elevation to constrain recharge elevation and to estimate fractions of mountain-block recharge (MBR) in sampled waters of Holocene age. Noble gas recharge temperatures indicate that ground water in the Southeast zone contains a significant fraction of MBR, commonly 20-50 percent or more. The same is apparently true for the Northeast zone, though only two data points could be used to evaluate the MBR fraction in this area. Recharge temperatures indicate that the upper 30 m of the regional aquifer on the Pajarito Plateau typically contain little or no MBR.\r\nTritium concentrations and apparent 3H/3He ages indicate that water in the mountain block is dominantly <50 years old, and water in the basin-fill is dominantly >50 years old, consistent with the 14C ages. Terrigenic He (Heterr) concentrations in ground water are high (log Delta Heterr of 2 to 5) throughout much of the basin. High Heterr concentrations are probably caused by in situ production in the Tesuque Formation from locally high concentrations of U-bearing minerals (Northeast zone only), or by upward diffusive/advective transport of crustal- and mantle-sourced He possibly enhanced by basement piercing faults, or by both. The 3He/4He ratio of Heterr (Rterr) is commonly high (Rterr/Ra of 0.3-2.0, where Ra is the 3He/4He ratio in air) suggesting that Espanola Basin ground water commonly contains mantle-sourced He. The 3He/4He ratio of Heterr is generally the highest in the western and southern parts of the basin, closest to the western border fault system and the Quaternary to Miocene volcanics of the Jemez Mountains and Cerros del Rio.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085200","collaboration":"Prepared in cooperation with Los Alamos National Laboratory and the City of Santa Fe, New Mexico","usgsCitation":"Manning, A.H., 2009, Ground-Water Temperature, Noble Gas, and Carbon Isotope Data from the Espanola Basin, New Mexico: U.S. Geological Survey Scientific Investigations Report 2008-5200, vi, 69 p., https://doi.org/10.3133/sir20085200.","productDescription":"vi, 69 p.","onlineOnly":"Y","costCenters":[{"id":213,"text":"Crustal Imaging and Characterization Team","active":false,"usgs":true}],"links":[{"id":196300,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12304,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5200/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110,31 ], [ -110,40 ], [ -101,40 ], [ -101,31 ], [ -110,31 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d493","contributors":{"authors":[{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":301508,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97250,"text":"ofr20091004 - 2009 - An Excel Workbook for Identifying Redox Processes in Ground Water","interactions":[],"lastModifiedDate":"2012-03-08T17:16:27","indexId":"ofr20091004","displayToPublicDate":"2009-01-30T00:00:00","publicationYear":"2009","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":"2009-1004","title":"An Excel Workbook for Identifying Redox Processes in Ground Water","docAbstract":"The reduction/oxidation (redox) condition of ground water affects the concentration, transport, and fate of many anthropogenic and natural contaminants. The redox state of a ground-water sample is defined by the dominant type of reduction/oxidation reaction, or redox process, occurring in the sample, as inferred from water-quality data. However, because of the difficulty in defining and applying a systematic redox framework to samples from diverse hydrogeologic settings, many regional water-quality investigations do not attempt to determine the predominant redox process in ground water. Recently, McMahon and Chapelle (2008) devised a redox framework that was applied to a large number of samples from 15 principal aquifer systems in the United States to examine the effect of redox processes on water quality. This framework was expanded by Chapelle and others (in press) to use measured sulfide data to differentiate between iron(III)- and sulfate-reducing conditions. These investigations showed that a systematic approach to characterize redox conditions in ground water could be applied to datasets from diverse hydrogeologic settings using water-quality data routinely collected in regional water-quality investigations. \r\n\r\nThis report describes the Microsoft Excel workbook, RedoxAssignment_McMahon&Chapelle.xls, that assigns the predominant redox process to samples using the framework created by McMahon and Chapelle (2008) and expanded by Chapelle and others (in press). Assignment of redox conditions is based on concentrations of dissolved oxygen (O2), nitrate (NO3-), manganese (Mn2+), iron (Fe2+), sulfate (SO42-), and sulfide (sum of dihydrogen sulfide [aqueous H2S], hydrogen sulfide [HS-], and sulfide [S2-]). The logical arguments for assigning the predominant redox process to each sample are performed by a program written in Microsoft Visual Basic for Applications (VBA). The program is called from buttons on the main worksheet. The number of samples that can be analyzed is only limited by the number of rows in Excel (65,536 for Excel 2003 and XP; and 1,048,576 for Excel 2007), and is therefore appropriate for large datasets.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091004","usgsCitation":"Jurgens, B., McMahon, P.B., Chapelle, F.H., and Eberts, S., 2009, An Excel Workbook for Identifying Redox Processes in Ground Water: U.S. Geological Survey Open-File Report 2009-1004, Report: vi, 8 p.; Workbook, https://doi.org/10.3133/ofr20091004.","productDescription":"Report: vi, 8 p.; Workbook","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":12299,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1004/","linkFileType":{"id":5,"text":"html"}},{"id":195364,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db686506","contributors":{"authors":[{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":22454,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant C.","affiliations":[],"preferred":false,"id":301495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eberts, Sandra M. smeberts@usgs.gov","contributorId":2264,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra M.","email":"smeberts@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":301494,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97246,"text":"sir20085226 - 2009 - Simulation of Water Quality in the Tull Creek and West Neck Creek Watersheds, Currituck Sound Basin, North Carolina and Virginia","interactions":[],"lastModifiedDate":"2017-01-17T10:11:44","indexId":"sir20085226","displayToPublicDate":"2009-01-28T00:00:00","publicationYear":"2009","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":"2008-5226","title":"Simulation of Water Quality in the Tull Creek and West Neck Creek Watersheds, Currituck Sound Basin, North Carolina and Virginia","docAbstract":"A study of the Currituck Sound was initiated in 2005 to evaluate the water chemistry of the Sound and assess the effectiveness of management strategies. As part of this study, the Soil and Water Assessment Tool (SWAT) model was used to simulate current sediment and nutrient loadings for two distinct watersheds in the Currituck Sound basin and to determine the consequences of different water-quality management scenarios. The watersheds studied were (1) Tull Creek watershed, which has extensive row-crop cultivation and artificial drainage, and (2) West Neck Creek watershed, which drains urban areas in and around Virginia Beach, Virginia.\r\n\r\nThe model simulated monthly streamflows with Nash-Sutcliffe model efficiency coefficients of 0.83 and 0.76 for Tull Creek and West Neck Creek, respectively. The daily sediment concentration coefficient of determination was 0.19 for Tull Creek and 0.36 for West Neck Creek. The coefficient of determination for total nitrogen was 0.26 for both watersheds and for dissolved phosphorus was 0.4 for Tull Creek and 0.03 for West Neck Creek.\r\n\r\nThe model was used to estimate current (2006-2007) sediment and nutrient yields for the two watersheds. Total suspended-solids yield was 56 percent lower in the urban watershed than in the agricultural watershed. Total nitrogen export was 45 percent lower, and total phosphorus was 43 percent lower in the urban watershed than in the agricultural watershed. A management scenario with filter strips bordering the main channels was simulated for Tull Creek. The Soil and Water Assessment Tool model estimated a total suspended-solids yield reduction of 54 percent and total nitrogen and total phosphorus reductions of 21 percent and 29 percent, respectively, for the Tull Creek watershed.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085226","collaboration":"Prepared in cooperation with the North Carolina Department of Environment and Natural Resources, Division of Water Resources","usgsCitation":"Garcia, A., 2009, Simulation of Water Quality in the Tull Creek and West Neck Creek Watersheds, Currituck Sound Basin, North Carolina and Virginia: U.S. Geological Survey Scientific Investigations Report 2008-5226, vi, 23 p., https://doi.org/10.3133/sir20085226.","productDescription":"vi, 23 p.","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":124590,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5226.jpg"},{"id":12297,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5226/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina, Virginia","otherGeospatial":"Currituck Sound Basin, Tull Creek, West Neck Creek Watersheds","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.5,36 ], [ -76.5,37 ], [ -75.5,37 ], [ -75.5,36 ], [ -76.5,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67bead","contributors":{"authors":[{"text":"Garcia, Ana Maria 0000-0002-5388-1281","orcid":"https://orcid.org/0000-0002-5388-1281","contributorId":44634,"corporation":false,"usgs":true,"family":"Garcia","given":"Ana Maria","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301478,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70208037,"text":"70208037 - 2009 - A marine biogeochemical perspective on black shale deposition","interactions":[],"lastModifiedDate":"2020-01-24T15:28:13","indexId":"70208037","displayToPublicDate":"2009-01-24T15:18:47","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"A marine biogeochemical perspective on black shale deposition","docAbstract":"Deposition of marine black shales has commonly been interpreted as having involved a high level of marine phytoplankton production that promoted high settling rates of organic matter through the water column and high burial fluxes on the seafloor or anoxic (sulfidic) water-column conditions that led to high levels of preservation of deposited organic matter, or a combination of the two processes. Here we review the hydrography and the budgets of trace metals and phytoplankton nutrients in two modern marine basins that have permanently anoxic bottom waters. This information is then used to hindcast the hydrography and biogeochemical conditions of deposition of a black shale of Late Jurassic age (the Kimmeridge Clay Formation, Yorkshire, England) from its trace metal and organic carbon content. Comparison of the modern and Jurassic sediment compositions reveals that the rate of photic zone primary productivity in the Kimmeridge Sea, based on the accumulation rate of the marine fraction of Ni, was as high as 840 g organic carbon m− 2 yr−1. This high level was possibly tied to the maximum rise of sea level during the Late Jurassic that flooded this and other continents sufficiently to allow major open-ocean boundary currents to penetrate into epeiric seas. Sites of intense upwelling of nutrient-enriched seawater would have been transferred from the continental margins, their present location, onto the continents. This global flooding event was likely responsible for deposition of organic matter-enriched sediments in other marine basins of this age, several of which today host major petroleum source rocks.
Bottom-water redox conditions in the Kimmeridge Sea, deduced from the V:Mo ratio in the marine fraction of the Kimmeridge Clay Formation, varied from oxic to anoxic, but were predominantly suboxic, or denitrifying. A high settling flux of organic matter, a result of the high primary productivity, supported a high rate of bacterial respiration that led to the depletion of O2 in the bottom water. A high rate of burial of labile organic matter, albeit a low percentage of primary productivity, in turn promoted anoxic conditions in the sediment pore waters that enhanced retention of trace metals deposited from the water column.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2009.03.001","usgsCitation":"Piper, D.Z., and Calvert, S., 2009, A marine biogeochemical perspective on black shale deposition: Earth-Science Reviews, v. 95, no. 1-2, p. 63-96, https://doi.org/10.1016/j.earscirev.2009.03.001.","productDescription":"34 p.","startPage":"63","endPage":"96","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":371528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"West Europe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -7.91015625,\n 47.635783590864854\n ],\n [\n 6.85546875,\n 47.635783590864854\n ],\n [\n 6.85546875,\n 59.712097173322924\n ],\n [\n -7.91015625,\n 59.712097173322924\n ],\n [\n -7.91015625,\n 47.635783590864854\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"95","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Piper, David Z. dzpiper@usgs.gov","contributorId":2452,"corporation":false,"usgs":true,"family":"Piper","given":"David","email":"dzpiper@usgs.gov","middleInitial":"Z.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":780243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calvert, S.E.","contributorId":12196,"corporation":false,"usgs":true,"family":"Calvert","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":780244,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97228,"text":"sir20085197 - 2009 - Hydrology of Northern Utah Valley, Utah County, Utah, 1975-2005","interactions":[],"lastModifiedDate":"2017-01-25T11:58:42","indexId":"sir20085197","displayToPublicDate":"2009-01-23T00:00:00","publicationYear":"2009","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":"2008-5197","title":"Hydrology of Northern Utah Valley, Utah County, Utah, 1975-2005","docAbstract":"The ground-water resources of northern Utah Valley, Utah, were assessed during 2003-05 to describe and quantify components of the hydrologic system, determine a hydrologic budget for the basin-fill aquifer, and evaluate changes to the system relative to previous studies. Northern Utah Valley is a horst and graben structure with ground water occurring in both the mountain-block uplands surrounding the valley and in the unconsolidated basin-fill sediments. The principal aquifer in northern Utah Valley occurs in the unconsolidated basin-fill deposits where a deeper unconfined aquifer occurs near the mountain front and laterally grades into multiple confined aquifers near the center of the valley.\r\n\r\nSources of water to the basin-fill aquifers occur predominantly as either infiltration of streamflow at or near the interface of the mountain front and valley or as subsurface inflow from the adjacent mountain blocks. Sources of water to the basin-fill aquifers were estimated to average 153,000 (+/- 31,500) acre-feet annually during 1975-2004 with subsurface inflow and infiltration of streamflow being the predominant sources. Discharge from the basin-fill aquifers occurs in the valley lowlands as flow to waterways, drains, ditches, springs, as diffuse seepage, and as discharge from flowing and pumping wells. Ground-water discharge from the basin-fill aquifers during 1975-2004 was estimated to average 166,700 (+/- 25,900) acre-feet/year where discharge to wells for consumptive use and discharge to waterways, drains, ditches, and springs were the principal sources.\r\n\r\nMeasured water levels in wells in northern Utah Valley declined an average of 22 feet from 1981 to 2004. Water-level declines are consistent with a severe regional drought beginning in 1999 and continuing through 2004. Water samples were collected from 36 wells and springs throughout the study area along expected flowpaths. Water samples collected from 34 wells were analyzed for dissolved major ions, nutrients, and stable isotopes of hydrogen and oxygen. Water samples from all 36 wells were analyzed for dissolved-gas concentration including noble gases and tritium/helium-3. Within the basin fill, dissolved-solids concentration generally increases with distance along flowpaths from recharge areas, and shallower flowpaths tend to have higher concentrations than deeper flowpaths. Nitrate concentrations generally are at or below natural background levels. Dissolved-gas recharge temperature data support the conceptual model of the basin-fill aquifers and highlight complexities of recharge patterns in different parts of the valley. Dissolved-gas data indicate that the highest elevation recharge sources for the basin-fill aquifer are subsurface inflow derived from recharge in the adjacent mountain block between the mouths of American Fork and Provo Canyons. Apparent ground-water ages in the basin-fill aquifer, as calculated using tritium/helium-3 data, range from 2 to more than 50 years. The youngest waters in the valley occur near the mountain fronts with apparent ages generally increasing near the valley lowlands and discharge area around Utah Lake.\r\n\r\nFlowpaths are controlled by aquifer properties and the location of the predominant recharge sources, including subsurface inflow and recharge along the mountain front. Subsurface inflow is distributed over a larger area across the interface of the subsurface mountain block and basin-fill deposits. Subsurface inflow occurs at a depth deeper than that at which mountain-front recharge occurs. Recharge along the mountain front is often localized and focused over areas where streams and creeks enter the valley, and recharge is enhanced by the associated irrigation canals.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085197","collaboration":"Prepared in cooperation with Central Utah Water Conservancy District; Jordan Valley Water Conservancy District representing Draper City; Highland Water Company; Utah Department of Natural Resources, Division of Water Rights; and the municipalities of Alpine, American Fork, Cedar Hills, Eagle Mountain, Highland, Lehi, Lindon, Orem, Pleasant Grove, Provo, Saratoga Springs, and Vineyard","usgsCitation":"Cederberg, J.R., Gardner, P.M., and Thiros, S.A., 2009, Hydrology of Northern Utah Valley, Utah County, Utah, 1975-2005 (Version 2.0, Revised Feb 2009): U.S. Geological Survey Scientific Investigations Report 2008-5197, x, 114 p., https://doi.org/10.3133/sir20085197.","productDescription":"x, 114 p.","temporalStart":"1975-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":195791,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12278,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5197/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Utah","county":"Utah County","otherGeospatial":"Utah Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.25,40 ], [ -112.25,40.583333333333336 ], [ -111.25,40.583333333333336 ], [ -111.25,40 ], [ -112.25,40 ] ] ] } } ] }","edition":"Version 2.0, Revised Feb 2009","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e478fe4b07f02db48a36b","contributors":{"authors":[{"text":"Cederberg, Jay R. 0000-0001-6649-7353 cederber@usgs.gov","orcid":"https://orcid.org/0000-0001-6649-7353","contributorId":964,"corporation":false,"usgs":true,"family":"Cederberg","given":"Jay","email":"cederber@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Philip M. 0000-0003-3005-3587 pgardner@usgs.gov","orcid":"https://orcid.org/0000-0003-3005-3587","contributorId":962,"corporation":false,"usgs":true,"family":"Gardner","given":"Philip","email":"pgardner@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thiros, Susan A. 0000-0002-8544-553X sthiros@usgs.gov","orcid":"https://orcid.org/0000-0002-8544-553X","contributorId":965,"corporation":false,"usgs":true,"family":"Thiros","given":"Susan","email":"sthiros@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301426,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97226,"text":"sir20085049 - 2009 - Three-dimensional numerical model of ground-water flow in northern Utah Valley, Utah County, Utah","interactions":[],"lastModifiedDate":"2017-09-19T16:36:08","indexId":"sir20085049","displayToPublicDate":"2009-01-23T00:00:00","publicationYear":"2009","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":"2008-5049","title":"Three-dimensional numerical model of ground-water flow in northern Utah Valley, Utah County, Utah","docAbstract":"A three-dimensional, finite-difference, numerical model was developed to simulate ground-water flow in northern Utah Valley, Utah. The model includes expanded areal boundaries as compared to a previous ground-water flow model of the valley and incorporates more than 20 years of additional hydrologic data. The model boundary was generally expanded to include the bedrock in the surrounding mountain block as far as the surface-water divide. New wells have been drilled in basin-fill deposits near the consolidated-rock boundary. Simulating the hydrologic conditions within the bedrock allows for improved simulation of the effect of withdrawal from these wells. The inclusion of bedrock also allowed for the use of a recharge model that provided an alternative method for spatially distributing areal recharge over the mountains.
The model was calibrated to steady- and transient-state conditions. The steady-state simulation was developed and calibrated by using hydrologic data that represented average conditions for 1947. The transient-state simulation was developed and calibrated by using hydrologic data collected from 1947 to 2004. Areally, the model grid is 79 rows by 70 columns, with variable cell size. Cells throughout most of the model domain represent 0.3 mile on each side. The largest cells are rectangular with dimensions of about 0.3 by 0.6 mile. The largest cells represent the mountain block on the eastern edge of the model domain where the least hydrologic data are available. Vertically, the aquifer system is divided into 4 layers which incorporate 11 hydrogeologic units. The model simulates recharge to the ground-water flow system as (1) infiltration of precipitation over the mountain block, (2) infiltration of precipitation over the valley floor, (3) infiltration of unconsumed irrigation water from fields, lawns, and gardens, (4) seepage from streams and canals, and (5) subsurface inflow from Cedar Valley. Discharge of ground water is simulated by the model to (1) flowing and pumping wells, (2) drains and springs, (3) evapotranspiration, (4) Utah Lake, (5) the Jordan River and mountain streams, and (6) Salt Lake Valley by subsurface outflow through the Jordan Narrows.
During steady-state calibration, variables were adjusted within probable ranges to minimize differences between model-computed and measured water levels as well as between model-computed and independently estimated flows that include: recharge by seepage from individual streams and canals, discharge by seepage to individual streams and the Jordan River, discharge to Utah Lake, discharge to drains and springs, discharge by evapotranspiration, and subsurface flows into and out of northern Utah Valley from Cedar Valley and to Salt Lake Valley, respectively. The transient-state simulation was calibrated to measured water levels and water-level changes with consideration given to annual changes in the flows listed above.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085049","collaboration":"Prepared in cooperation with Central Utah Water Conservancy District; Jordan Valley Water Conservancy District representing Draper City; Highland Water Company; Utah Department of Natural Resources, Division of Water Rights; and the municipalities of Alpine, American Fork, Cedar Hills, Eagle Mountain, Highland, Lehi, Lindon, Orem, Pleasant Grove, Provo, Saratoga Springs, and Vinyard","usgsCitation":"Gardner, P.M., 2009, Three-dimensional numerical model of ground-water flow in northern Utah Valley, Utah County, Utah (Version 2.0 January 2011): U.S. Geological Survey Scientific Investigations Report 2008-5049, viii, 95 p., https://doi.org/10.3133/sir20085049.","productDescription":"viii, 95 p.","additionalOnlineFiles":"N","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":124653,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5049.jpg"},{"id":12276,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5049/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Utah","county":"Utah County","otherGeospatial":"Utah Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.25,40 ], [ -112.25,40.583333333333336 ], [ -111.25,40.583333333333336 ], [ -111.25,40 ], [ -112.25,40 ] ] ] } } ] }","edition":"Version 2.0 January 2011","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b910","contributors":{"authors":[{"text":"Gardner, Philip M. 0000-0003-3005-3587 pgardner@usgs.gov","orcid":"https://orcid.org/0000-0003-3005-3587","contributorId":962,"corporation":false,"usgs":true,"family":"Gardner","given":"Philip","email":"pgardner@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301420,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97233,"text":"ofr20091008 - 2009 - Map Showing Geology and Hydrostratigraphy of the Edwards Aquifer Catchment Area, Northern Bexar County, South-Central Texas","interactions":[],"lastModifiedDate":"2012-02-10T00:11:47","indexId":"ofr20091008","displayToPublicDate":"2009-01-23T00:00:00","publicationYear":"2009","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":"2009-1008","title":"Map Showing Geology and Hydrostratigraphy of the Edwards Aquifer Catchment Area, Northern Bexar County, South-Central Texas","docAbstract":"Rock units forming the Edwards and Trinity aquifers in northern Bexar County, Texas, are exposed within all or parts of seven 7.5-minute quadrangles: Bulverde, Camp Bullis, Castle Hills, Helotes, Jack Mountain, San Geronimo, and Van Raub. The Edwards aquifer is the most prolific ground-water source in Bexar County, whereas the Trinity aquifer supplies water for residential, commercial, and industrial uses for areas north of the San Antonio. The geologic map of northern Bexar County shows the distribution of informal hydrostratigraphic members of the Edwards Group and the underlying upper member of the Glen Rose Limestone. Exposures of the Glen Rose Limestone, which forms the Trinity aquifer alone, cover approximately 467 km2 in the county. This study also describes and names five informal hydrostratigraphic members that constitute the upper member of the Glen Rose Limestone; these include, in descending order, the Caverness, Camp Bullis, Upper evaporite, Fossiliferous, and Lower evaporite members. This study improves our understanding of the hydrogeologic connection between the two aquifers as it describes the geology that controls the infiltration of surface water and subsurface flow of ground water from the catchment area (outcropping Trinity aquifer rocks) to the Edwards water-bearing exposures.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091008","usgsCitation":"Clark, A.R., Blome, C.D., and Faith, J.R., 2009, Map Showing Geology and Hydrostratigraphy of the Edwards Aquifer Catchment Area, Northern Bexar County, South-Central Texas: U.S. Geological Survey Open-File Report 2009-1008, Report: 24 p.; Map: 39 x 30.5 inches; Downloads Directory, https://doi.org/10.3133/ofr20091008.","productDescription":"Report: 24 p.; Map: 39 x 30.5 inches; Downloads Directory","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195374,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12283,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1008/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.83333333333333,29.5 ], [ -98.83333333333333,29.783333333333335 ], [ -98.35,29.783333333333335 ], [ -98.35,29.5 ], [ -98.83333333333333,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64afc4","contributors":{"authors":[{"text":"Clark, Amy R.","contributorId":76397,"corporation":false,"usgs":true,"family":"Clark","given":"Amy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":301441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blome, Charles D. 0000-0002-3449-9378 cblome@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-9378","contributorId":1246,"corporation":false,"usgs":true,"family":"Blome","given":"Charles","email":"cblome@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":301440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faith, Jason R.","contributorId":92758,"corporation":false,"usgs":true,"family":"Faith","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":301442,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97236,"text":"cir1331 - 2009 - Climate Change and Water Resources Management: A Federal Perspective","interactions":[],"lastModifiedDate":"2012-02-02T00:15:05","indexId":"cir1331","displayToPublicDate":"2009-01-23T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1331","title":"Climate Change and Water Resources Management: A Federal Perspective","docAbstract":"Many challenges, including climate change, face the Nation's water managers. The Intergovernmental Panel on Climate Change (IPCC) has provided estimates of how climate may change, but more understanding of the processes driving the changes, the sequences of the changes, and the manifestation of these global changes at different scales could be beneficial. Since the changes will likely affect fundamental drivers of the hydrological cycle, climate change may have a large impact on water resources and water resources managers.\r\n\r\nThe purpose of this interagency report prepared by the U.S. Geological Survey (USGS), U.S. Army Corps of Engineers (USACE), Bureau of Reclamation (Reclamation), and National Oceanic and Atmospheric Administration (NOAA) is to explore strategies to improve water management by tracking, anticipating, and responding to climate change. This report describes the existing and still needed underpinning science crucial to addressing the many impacts of climate change on water resources management.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/cir1331","isbn":"9781411323254","usgsCitation":"Brekke, L., Kiang, J.E., Olsen, J., Pulwarty, R.S., Raff, D.A., Turnipseed, D.P., Webb, R.S., and White, K.D., 2009, Climate Change and Water Resources Management: A Federal Perspective: U.S. Geological Survey Circular 1331, viii, 66 p., https://doi.org/10.3133/cir1331.","productDescription":"viii, 66 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":121090,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1331.jpg"},{"id":12287,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1331/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4887e4b07f02db519e70","contributors":{"authors":[{"text":"Brekke, Levi D.","contributorId":35847,"corporation":false,"usgs":true,"family":"Brekke","given":"Levi D.","affiliations":[],"preferred":false,"id":301451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":301448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olsen, J. Rolf","contributorId":40311,"corporation":false,"usgs":true,"family":"Olsen","given":"J. Rolf","affiliations":[],"preferred":false,"id":301452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pulwarty, Roger S.","contributorId":30715,"corporation":false,"usgs":true,"family":"Pulwarty","given":"Roger","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":301450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raff, David A.","contributorId":14536,"corporation":false,"usgs":true,"family":"Raff","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":301449,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turnipseed, D. Phil 0000-0002-9737-3203 pturnip@usgs.gov","orcid":"https://orcid.org/0000-0002-9737-3203","contributorId":298,"corporation":false,"usgs":true,"family":"Turnipseed","given":"D.","email":"pturnip@usgs.gov","middleInitial":"Phil","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":301447,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Webb, Robert S.","contributorId":72894,"corporation":false,"usgs":true,"family":"Webb","given":"Robert","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":301453,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"White, Kathleen D.","contributorId":88451,"corporation":false,"usgs":true,"family":"White","given":"Kathleen","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":301454,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":97235,"text":"ds409 - 2009 - Summary of fluvial sediment collected at selected sites on the Gunnison River in Colorado and the Green and Duchesne Rivers in Utah, Water Years 2005-2008","interactions":[],"lastModifiedDate":"2017-09-20T12:15:42","indexId":"ds409","displayToPublicDate":"2009-01-23T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"409","title":"Summary of fluvial sediment collected at selected sites on the Gunnison River in Colorado and the Green and Duchesne Rivers in Utah, Water Years 2005-2008","docAbstract":"The Colorado River Basin provides habitat for 14 native fish, including four endangered species protected under the Federal Endangered Species Act of 1973 - Colorado pikeminnow (Ptychocheilus lucius), razorback sucker (Xyrauchen texanus), bonytail (Gila elegans), and humpback chub (Gila cypha). These endangered fish species once thrived in the Colorado River system, but water-resource development, including the building of numerous diversion dams and several large reservoirs, and the introduction of nonnative fish, resulted in large reductions in the numbers and range of the four species. Knowledge of sediment dynamics in river reaches important to specifc life-stages of the endangered fishes is critical to understanding the effects of flow regimes on endangered fish habitats. The U.S. Geological Survey, in cooperation with the Upper Colorado River Endangered Fish Recovery Program, Bureau of Reclamation, U.S. Fish and Wildlife Service, and Wyoming State Engineer's Office, implemented daily sediment sampling at three locations in critical habitat reaches in the Upper Colorado River Basin. This report presents a summary of data collected at these sites, including water and suspended-sediment discharge, streambed compositions, and channel and flood-plain topography. The locations are at U.S. Geological Survey streamflow-gaging stations 09152500, Gunnison River near Grand Junction, Colorado; 09261000, Green River near Jensen, Utah; and 09302000, Duchesne River near Randlett, Utah.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds409","collaboration":"Prepared in cooperation with the Upper Colorado Endangered Fish Recovery Program, Bureau of Reclamation, U.S. Fish and Wildlife Service, Wyoming State Engineer's Office","usgsCitation":"Williams, C.A., Gerner, S.J., and Elliott, J.G., 2009, Summary of fluvial sediment collected at selected sites on the Gunnison River in Colorado and the Green and Duchesne Rivers in Utah, Water Years 2005-2008: U.S. Geological Survey Data Series 409, vi, 123 p., https://doi.org/10.3133/ds409.","productDescription":"vi, 123 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2004-10-01","temporalEnd":"2008-09-30","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":195268,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12285,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/409/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado, Utah","otherGeospatial":"Duchesne River, Green River, Gunnison River","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db699521","contributors":{"authors":[{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gerner, Steven J. 0000-0002-5701-1304 sjgerner@usgs.gov","orcid":"https://orcid.org/0000-0002-5701-1304","contributorId":972,"corporation":false,"usgs":true,"family":"Gerner","given":"Steven","email":"sjgerner@usgs.gov","middleInitial":"J.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, John G. jelliott@usgs.gov","contributorId":832,"corporation":false,"usgs":true,"family":"Elliott","given":"John","email":"jelliott@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":301445,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97223,"text":"sir20085215 - 2009 - Geography of Alaska lake districts: Identification, description, and analysis of lake-rich regions of a diverse and dynamic state","interactions":[],"lastModifiedDate":"2023-04-10T20:27:38.091362","indexId":"sir20085215","displayToPublicDate":"2009-01-23T00:00:00","publicationYear":"2009","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":"2008-5215","title":"Geography of Alaska lake districts: Identification, description, and analysis of lake-rich regions of a diverse and dynamic state","docAbstract":"Lakes are abundant landforms and important ecosystems in Alaska, but are unevenly distributed on the landscape with expansive lake-poor regions and several lake-rich regions. Such lake-rich areas are termed lake districts and have landscape characteristics that can be considered distinctive in similar respects to mountain ranges. In this report, we explore the nature of lake-rich areas by quantitatively identifying Alaska’s lake districts, describing and comparing their physical characteristics, and analyzing how Alaska lake districts are naturally organized and correspond to climatic and geophysical characteristics, as well as studied and managed by people.
We use a digital dataset (National Hydrography Dataset) of lakes greater than 1 hectare, which includes 409,040 individual lakes and represents 3.3 percent of the land-surface area of Alaska. The selection criteria we used to identify lake districts were (1) a lake area (termed limnetic ratio, in percent) greater than the mean for the State, and (2) a lake density (number of lakes per unit area) greater than the mean for the State using a pixel size scaled to the area of interest and number of lakes in the census. Pixels meeting these criteria were grouped and delineated and all groups greater than 1,000 square kilometers were identified as Alaska’s lake districts. These lake districts were described according to lake size-frequency metrics, elevation distributions, geology, climate, and ecoregions to better understand their similarities and differences. We also looked at where lake research and relevant ecological monitoring has occurred in Alaska relative to lake districts and how lake district lands and waters are currently managed.
We identified and delineated 20 lake districts in Alaska representing 16 percent of the State, but including 65 percent of lakes and 75 percent of lake area. The largest lake districts identified are the Yukon-Kuskokwim Delta, Arctic Coastal Plain, and Iliamna lake districts with high limnetic ratios of 19, 17, and 21 percent, respectively. The three smallest districts we considered were Tetlin in the eastern interior, Menhiskof on the Alaska Peninsula, and Matanuska–Susitna at the head of Cook Inlet with limnetic ratios of 14, 9, and 9 percent, respectively. Lake density and limnetic ratio were poorly related among lake districts, such that some districts had a few large lakes like Iliamna with Lakes Iliamna and Becharof—the two largest in the State, compared to other districts with many very small lakes like Yukon-Kuskokwim Delta with 111,130 lakes and 63 percent of these less than 10 hectares. Most lake districts are in regions with relatively low precipitation, but temperature regimes varied widely among lake districts. Approximately one-half of lake districts were glaciated during the Pleistocene and similar numbers occur in regions classified as having continuous, discontinuous, and sporadic permafrost, or perennially unfrozen soils. Most districts are at low elevations (less than 250 meters) with two important exceptions being Tetlin with a mean elevation of 530 meters and Ahtna with a mean elevation of 760 meters. These higher elevation districts, particularly Ahtna, had distinct characteristics from other lake districts such as continuous permafrost and Pleistocene glaciation. Several lake districts share similar boundaries to defined ecoregions with lake districts occurring in less than one-half of these 32 ecoregions of Alaska.
Most lake districts are lands fully or partly managed by the U.S. Fish and Wildlife Service and the National Park Service, with other land management by the Bureau of Land Management and State and borough government. Much of the U.S. Geological Survey’s lake water-quality sampling efforts has been done in the Arctic Coastal Plain, Matanuska-Susitna, and Iliamna districts but no recorded collections in nine lake districts. Similarly, most lake limnological studies in Alaska were site-specific and represent only a small portion of Alaska’s lake districts. This identification, characterization, and analysis of lake-rich regions may help provide a template to guide future limnological and other scientific research for Alaska.
","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085215","usgsCitation":"Arp, C.D., and Jones, B.M., 2009, Geography of Alaska lake districts: Identification, description, and analysis of lake-rich regions of a diverse and dynamic state: U.S. Geological Survey Scientific Investigations Report 2008-5215, vi, 40 p., https://doi.org/10.3133/sir20085215.","productDescription":"vi, 40 p.","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":415536,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86311.htm","linkFileType":{"id":5,"text":"html"}},{"id":12273,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5215/","linkFileType":{"id":5,"text":"html"}},{"id":195237,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -168,\n 55\n ],\n [\n -168,\n 72\n ],\n [\n -141,\n 72\n ],\n [\n -141,\n 55\n ],\n [\n -168,\n 55\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1be4b07f02db6a8fbb","contributors":{"authors":[{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":301414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":301413,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199705,"text":"70199705 - 2009 - Why are diverse relationships observed between phytoplankton biomass and transport time?","interactions":[],"lastModifiedDate":"2018-10-08T09:00:48","indexId":"70199705","displayToPublicDate":"2009-01-14T09:07:24","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Why are diverse relationships observed between phytoplankton biomass and transport time?","docAbstract":"Transport time scales such as flushing time and residence time are often used to explain variability in phytoplankton biomass. In many cases, empirical data are consistent with a positive phytoplankton‐transport time relationship (i.e., phytoplankton biomass increases as transport time increases). However, negative relationships, varying relationships, or no significant relationship may also be observed. We present a simple conceptual model, in both mathematical and graphical form, to help explain why phytoplankton may have a range of relationships with transport time, and we apply it to several real systems. The phytoplankton growth‐loss balance determines whether phytoplankton biomass increases with, decreases with, or is insensitive to transport time. If algal growth is faster than loss (e.g., grazing, sedimentation), then phytoplankton biomass increases with increasing transport time. If loss is faster than growth, phytoplankton biomass decreases with increasing transport time. If growth and loss are approximately balanced, then phytoplankton biomass is relatively insensitive to transport time. In analyses of several systems, portions of an individual system, or time periods, apparent insensitivity of phytoplankton biomass to changes in transport time could arise due to the superposition of cases with different phytoplankton‐transport time relationships. Thus, in order to understand or predict responses of phytoplankton biomass to changes in transport time, the relative rates of algal growth and loss must be known.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.4319/lo.2009.54.1.0381","usgsCitation":"Lucas, L.V., Thompson, J.K., and Brown, L.R., 2009, Why are diverse relationships observed between phytoplankton biomass and transport time?: Limnology and Oceanography, v. 54, no. 1, p. 381-390, https://doi.org/10.4319/lo.2009.54.1.0381.","productDescription":"10 p.","startPage":"381","endPage":"390","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":476103,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4319/lo.2009.54.1.0381","text":"Publisher Index Page"},{"id":357735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"54","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-01-14","publicationStatus":"PW","scienceBaseUri":"5c10cd70e4b034bf6a7f8b47","contributors":{"authors":[{"text":"Lucas, Lisa V.","contributorId":80992,"corporation":false,"usgs":true,"family":"Lucas","given":"Lisa","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":746279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":746280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746281,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}