{"pageNumber":"827","pageRowStart":"20650","pageSize":"25","recordCount":68927,"records":[{"id":97851,"text":"sir20095191 - 2009 - Simulation of streamflow and water quality in the Leon Creek watershed, Bexar County, Texas, 1997-2004","interactions":[],"lastModifiedDate":"2012-12-17T09:37:03","indexId":"sir20095191","displayToPublicDate":"2009-09-29T00:00:00","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":"2009-5191","title":"Simulation of streamflow and water quality in the Leon Creek watershed, Bexar County, Texas, 1997-2004","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers and the San Antonio River Authority, configured, calibrated, and tested a Hydrological Simulation Program ? FORTRAN watershed model for the approximately 238-square-mile Leon Creek watershed in Bexar County, Texas, and used the model to simulate streamflow and water quality (focusing on loads and yields of selected constituents). Streamflow in the model was calibrated and tested with available data from five U.S. Geological Survey streamflow-gaging stations for 1997-2004. Simulated streamflow volumes closely matched measured streamflow volumes at all streamflow-gaging stations. Total simulated streamflow volumes were within 10 percent of measured values. Streamflow volumes are greatly influenced by large storms. Two months that included major floods accounted for about 50 percent of all the streamflow measured at the most downstream gaging station during 1997-2004. \n\nWater-quality properties and constituents (water temperature, dissolved oxygen, suspended sediment, dissolved ammonia nitrogen, dissolved nitrate nitrogen, and dissolved and total lead and zinc) in the model were calibrated using available data from 13 sites in and near the Leon Creek watershed for varying periods of record during 1992-2005. Average simulated daily mean water temperature and dissolved oxygen at the most downstream gaging station during 1997-2000 were within 1 percent of average measured daily mean water temperature and dissolved oxygen. Simulated suspended-sediment load at the most downstream gaging station during 2001-04 (excluding July 2002 because of major storms) was 77,700 tons compared with 74,600 tons estimated from a streamflow-load regression relation (coefficient of determination = .869). Simulated concentrations of dissolved ammonia nitrogen and dissolved nitrate nitrogen closely matched measured concentrations after calibration. At the most downstream gaging station, average simulated monthly mean concentrations of dissolved ammonia and nitrate concentrations during 1997-2004 were 0.03 and 0.37 milligram per liter, respectively. For the most downstream station, the measured and simulated concentrations of dissolved and total lead and zinc for stormflows during 1993-97 after calibration do not match particularly closely. For base-flow conditions during 1997-2004 at the most downstream station, the simulated/measured match is better. For example, median simulated concentration of total lead (for 2,041 days) was 0.96 microgram per liter, and median measured concentration (for nine samples) of total lead was 1.0 microgram per liter. \n\nTo demonstrate an application of the Leon Creek watershed model, streamflow constituent loads and yields for suspended sediment, dissolved nitrate nitrogen, and total lead were simulated at the mouth of Leon Creek (outlet of the watershed) for 1997-2004. The average suspended-sediment load was 51,800 tons per year. The average suspended-sediment yield was 0.34 ton per acre per year. The average load of dissolved nitrate at the outlet of the watershed was 802 tons per year. The corresponding yield was 10.5 pounds per acre per year. The average load of lead at the outlet was 3,900 pounds per year. The average lead yield was 0.026 pound per acre per year.\n\nThe degree to which available rainfall data represent actual rainfall is potentially the most serious source of measurement error associated with the Leon Creek model. Major storms contribute most of the streamflow loads for certain constituents. For example, the three largest stormflows contributed about 64 percent of the entire suspended-sediment load at the most downstream station during 1997-2004.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095191","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and the San Antonio River Authority","usgsCitation":"Ockerman, D.J., and Roussel, M.C., 2009, Simulation of streamflow and water quality in the Leon Creek watershed, Bexar County, Texas, 1997-2004: U.S. Geological Survey Scientific Investigations Report 2009-5191, vi, 51 p., https://doi.org/10.3133/sir20095191.","productDescription":"vi, 51 p.","temporalStart":"1997-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":125681,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5191.jpg"},{"id":13026,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5191/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","county":"Bexar","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.83333333333333,29.166666666666668 ], [ -98.83333333333333,29.75 ], [ -98,29.75 ], [ -98,29.166666666666668 ], [ -98.83333333333333,29.166666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db698358","contributors":{"authors":[{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roussel, Meghan C. mroussel@usgs.gov","contributorId":1578,"corporation":false,"usgs":true,"family":"Roussel","given":"Meghan","email":"mroussel@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":303349,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97866,"text":"sir20095133 - 2009 - Estimated bankfull discharge for selected Michigan rivers and regional hydraulic geometry curves for estimating bankfull characteristics in southern Michigan rivers","interactions":[],"lastModifiedDate":"2023-04-07T21:26:05.299907","indexId":"sir20095133","displayToPublicDate":"2009-09-29T00:00:00","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":"2009-5133","title":"Estimated bankfull discharge for selected Michigan rivers and regional hydraulic geometry curves for estimating bankfull characteristics in southern Michigan rivers","docAbstract":"<p>Regional hydraulic geometry curves are power-function equations that relate riffle dimensions and bankfull discharge to drainage-basin size. They are defined by data collected through surveys conducted at stable stream reaches and can be used to aid watershed managers, design engineers, and others involved in determination of the best course of action for an unstable stream. Hydraulic geometry curves provide a mechanism through which comparisons can be made between riffle dimensions collected at an unstable stream to those collected at stable streams within the same region. In 2005, a study was initiated to delineate regional hydraulic geometry curves for Michigan. After<br>in-office review of 343 U.S. Geological Survey streamgaging stations and an extensive field reconnaissance effort, 44 stable reaches were selected for this study. Detailed surveys that included cross-sectional and longitudinal profiles and pebble counts were conducted at selected streamgages, which were distributed throughout Michigan. By use of survey data from riffle cross sections and water-surface slope, bankfull discharge was estimated and compared to flood-recurrence intervals using regional flood equations. This comparison shows that bankfull discharges in Michigan recur more frequently than every 2&nbsp;years.</p><p>Regional hydraulic geometry curves were developed rather than statewide curves owing to large differences in factors that control channel geometry across the State. However, after the data were subdivided according to ecoregions, it was determined that there were enough data to delineate regional hydraulic geometry curves only for the Southern Lower Michigan Ecoregion. For this ecoregion, geometry curve equations and their coefficients of determination are:</p><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Width = 8.19 x DA<sup>0.44</sup>; R<sup>2</sup><span>&nbsp;</span>= 0.69,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Depth = 0.67 x DA<sup>0.27</sup>; R<sup>2</sup><span>&nbsp;</span>= 0.28,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Area = 4.38 x DA<sup>0.74</sup>; R<sup>2</sup><span>&nbsp;</span>= 0.59,</p><p>where</p><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;DA is the drainage area and<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;R<sup>2</sup><span>&nbsp;</span>is the coefficient of determination.</p><p>By use of discharge estimates for the Southern Lower Michigan Ecoregion, a bankfull discharge curve was delineated. The corresponding equation and its coefficient of determination are:</p><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Discharge = 4.05 x DA<sup>0.95</sup>; R<sup>2</sup><span>&nbsp;</span>= 0.60.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095133","collaboration":"Prepared in cooperation with the Michigan Department of Environmental Quality, Michigan Department of Transportation, U.S. Army Corps of Engineers, and \r\nU.S. Fish and Wildlife Service","usgsCitation":"Rachol, C.M., and Boley-Morse, K., 2009, Estimated bankfull discharge for selected Michigan rivers and regional hydraulic geometry curves for estimating bankfull characteristics in southern Michigan rivers: U.S. Geological Survey Scientific Investigations Report 2009-5133, Report: vi, 17 p.; 3 Appendixes, https://doi.org/10.3133/sir20095133.","productDescription":"Report: vi, 17 p.; 3 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 \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fdc69","contributors":{"authors":[{"text":"Rachol, Cynthia M. 0000-0001-9984-3435 crachol@usgs.gov","orcid":"https://orcid.org/0000-0001-9984-3435","contributorId":3488,"corporation":false,"usgs":true,"family":"Rachol","given":"Cynthia","email":"crachol@usgs.gov","middleInitial":"M.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":303385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boley-Morse, Kristine","contributorId":75652,"corporation":false,"usgs":true,"family":"Boley-Morse","given":"Kristine","email":"","affiliations":[],"preferred":false,"id":303386,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97850,"text":"fs20093093 - 2009 - Monitoring for Pesticides in Groundwater and Surface Water in Nevada, 2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:31","indexId":"fs20093093","displayToPublicDate":"2009-09-29T00:00:00","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":"2009-3093","title":"Monitoring for Pesticides in Groundwater and Surface Water in Nevada, 2008","docAbstract":"Commercial pesticide applicators, farmers, and homeowners apply about 1 billion pounds of pesticides annually to agricultural land, non-crop land, and urban areas throughout the United States (Gilliom and others, 2006, p. 1). The U.S. Environmental Protection Agency (USEPA) defines a pesticide as any substance used to kill or control insects, weeds, plant diseases, and other pest organisms. Although there are important benefits from the proper use of pesticides, like crop protection and prevention of human disease outbreaks, there are also risks. One risk is the contamination of groundwater and surface-water resources. Data collected during 1992-2001 from 51 major hydrologic systems across the United States indicate that one or more pesticide or pesticide breakdown product was detected in more than 50 percent of 5,057 shallow (less than 20 feet below land surface) wells and in all of the 186 stream sites that were sampled in agricultural and urban areas (Gilliom and others, 2006, p. 2-4).\r\n\r\nPesticides can contaminate surface water and groundwater from both point sources and non-point sources. Point sources are from specific locations such as spill sites, disposal sites, pesticide drift during application, and application of pesticides to control aquatic pests. Non-point sources represent the dominant source of surface water and groundwater contamination and may include agricultural and urban runoff, erosion, leaching from application sites, and precipitation that has become contaminated by upwind applications. Pesticides typically enter surface water when rainfall or irrigation exceeds the infiltration capacity of soil and resulting runoff then transports pesticides to streams, rivers, and other surface-water bodies. Contamination of groundwater may result directly from spills near poorly sealed well heads and from pesticide applications through improperly designed or malfunctioning irrigation systems that also are used to apply pesticides (chemigation; Carpenter and Johnson, 1997). Groundwater contamination also may come indirectly by the percolation of agricultural and urban irrigation water through soil layers and into groundwater and from pesticide residue in surface water, such as drainage ditches, streams, and municipal wastewater.\r\n \r\nTo protect surface water and groundwater from pesticide contamination, the USEPA requires that all states establish a pesticide management plan. The Nevada Department of Agriculture (NDOA), with assistance from the USEPA, developed a management program of education (Hefner and Donaldson, 2006), regulation (Johnson and others, 2006), and monitoring (Pennington and others, 2001) to protect Nevada's water resources from pesticide contaminants. Sampling sites are located in areas where urban or agricultural pesticide use may affect groundwater, water bodies, endangered species, and other aquatic life. Information gathered from these sites is used by NDOA to help make regulatory decisions that will protect human and environmental health by reducing and eliminating the occurrence of pesticide contamination. This fact sheet describes current (2008) pesticide monitoring of groundwater and streams by the NDOA in Nevada and supersedes Pennington and others (2001).","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093093","usgsCitation":"Thodal, C.E., Carpenter, J., and Moses, C.W., 2009, Monitoring for Pesticides in Groundwater and Surface Water in Nevada, 2008: U.S. Geological Survey Fact Sheet 2009-3093, 4 p., https://doi.org/10.3133/fs20093093.","productDescription":"4 p.","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":125423,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3093.jpg"},{"id":13025,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3093/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120,35 ], [ -120,42 ], [ -114,42 ], [ -114,35 ], [ -120,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db69913d","contributors":{"authors":[{"text":"Thodal, Carl E. 0000-0003-0782-3280 cethodal@usgs.gov","orcid":"https://orcid.org/0000-0003-0782-3280","contributorId":2292,"corporation":false,"usgs":true,"family":"Thodal","given":"Carl","email":"cethodal@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carpenter, Jon","contributorId":72040,"corporation":false,"usgs":true,"family":"Carpenter","given":"Jon","email":"","affiliations":[],"preferred":false,"id":303348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moses, Charles W.","contributorId":28232,"corporation":false,"usgs":true,"family":"Moses","given":"Charles","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":303347,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97853,"text":"sir20095140 - 2009 - Hydrologic Conditions that Influence Streamflow Losses in a Karst Region of the Upper Peace River, Polk County, Florida","interactions":[],"lastModifiedDate":"2012-02-10T00:11:46","indexId":"sir20095140","displayToPublicDate":"2009-09-29T00:00:00","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":"2009-5140","title":"Hydrologic Conditions that Influence Streamflow Losses in a Karst Region of the Upper Peace River, Polk County, Florida","docAbstract":"The upper Peace River from Bartow to Fort Meade, Florida, is described as a groundwater recharge area, reflecting a reversal from historical groundwater discharge patterns that existed prior to the 1950s. The upper Peace River channel and floodplain are characterized by extensive karst development, with numerous fractures, crevasses, and sinks that have been eroded in the near-surface and underlying carbonate bedrock. With the reversal in groundwater head gradients, river water is lost to the underlying groundwater system through these karst features. An investigation was conducted to evaluate the hydrologic conditions that influence streamflow losses in the karst region of the upper Peace River. \r\n\r\nThe upper Peace River is located in a basin that has been altered substantially by phosphate mining and increases in groundwater use. These alterations have changed groundwater flow patterns and caused streamflow declines through time. Hydrologic factors that have had the greatest influence on streamflow declines in the upper Peace River include the lowering of the potentiometric surfaces of the intermediate aquifer system and Upper Floridan aquifer beneath the riverbed elevation due to below-average rainfall (droughts), increases in groundwater use, and the presence of numerous karst features in the low-water channel and floodplain that enhance the loss of streamflow.\r\n\r\nSeepage runs conducted along the upper Peace River, from Bartow to Fort Meade, indicate that the greatest streamflow losses occurred along an approximate 2-mile section of the river beginning about 1 mile south of the Peace River at Bartow gaging station. Along the low-water and floodplain channel of this 2-mile section, there are about 10 prominent karst features that influence streamflow losses. Losses from the individual karst features ranged from 0.22 to 16 cubic feet per second based on measurements made between 2002 and 2007. The largest measured flow loss for all the karst features was about 50 cubic feet per second, or about 32 million gallons per day, on June 28, 2002. \r\n\r\nStreamflow losses varied throughout the year, and were related to seasonal fluctuations in groundwater levels. When groundwater levels were at their lowest level at the end of the dry season (May and June), there was an increased potential for streamflow losses. During this study, the largest streamflow losses occurred at the beginning of the summer rainy season when discharge in the river increased and large volumes of water were needed to replenish unfilled cavities and void spaces in the underlying aquifers.\r\n\r\nThe underlying geology along the upper Peace River and floodplain is highly karstified, and aids in the movement and amount of streamflow that is lost to the groundwater system in this region. Numerous karst features and fractured carbonates and cavernous zones observed in geologic cores and geophysical logs indicate an active, well-connected, groundwater flow system. Aquifer and dye tests conducted along the upper Peace River indicate the presence of cavernous and highly transmissive layers within the floodplain area that can store and transport large volumes of water in underground cavities. A discharge measurement made during this study indicates that the cavernous system associated with Dover Sink can accept over 10 million gallons per day (16 cubic feet per second) of streamflow before the localized aquifer storage volume is replenished and the level of the sink is stabilized.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095140","isbn":"9781411325456","collaboration":"Prepared in cooperation with the Southwest Florida Water Management District","usgsCitation":"Metz, P.A., and Lewelling, B., 2009, Hydrologic Conditions that Influence Streamflow Losses in a Karst Region of the Upper Peace River, Polk County, Florida: U.S. Geological Survey Scientific Investigations Report 2009-5140, x, 82 p., https://doi.org/10.3133/sir20095140.","productDescription":"x, 82 p.","temporalStart":"2001-10-01","temporalEnd":"2007-09-30","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":125609,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5140.jpg"},{"id":13028,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5140/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.08333333333333,27.583333333333332 ], [ -82.08333333333333,28.166666666666668 ], [ -81.5,28.166666666666668 ], [ -81.5,27.583333333333332 ], [ -82.08333333333333,27.583333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2de4b07f02db614457","contributors":{"authors":[{"text":"Metz, P. A.","contributorId":68706,"corporation":false,"usgs":true,"family":"Metz","given":"P.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":303355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewelling, B. R.","contributorId":17969,"corporation":false,"usgs":true,"family":"Lewelling","given":"B. R.","affiliations":[],"preferred":false,"id":303354,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97865,"text":"sir20095177 - 2009 - Annual peak-flow frequency characteristics and (or) peak dam-pool-elevation frequency characteristics of dry dams and selected streamflow-gaging stations in the Great Miami River Basin, Ohio","interactions":[],"lastModifiedDate":"2023-12-14T19:39:19.584691","indexId":"sir20095177","displayToPublicDate":"2009-09-29T00:00:00","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":"2009-5177","title":"Annual peak-flow frequency characteristics and (or) peak dam-pool-elevation frequency characteristics of dry dams and selected streamflow-gaging stations in the Great Miami River Basin, Ohio","docAbstract":"<p><span>This report describes the results of a study to determine frequency characteristics of postregulation annual peak flows at streamflow-gaging stations at or near the Lockington, Taylorsville, Englewood, Huffman, and Germantown dry dams in the Miami Conservancy District flood-protection system (southwestern Ohio) and five other streamflow-gaging stations in the Great Miami River Basin further downstream from one or more of the dams. In addition, this report describes frequency characteristics of annual peak elevations of the dry-dam pools. In most cases, log-Pearson Type III distributions were fit to postregulation annual peak-flow values through 2007 (the most recent year of published peak-flow values at the time of this analysis) and annual peak dam-pool storage values for the period 1922–2008 to determine peaks with recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years. For one streamflow-gaging station (03272100) with a short period of record, frequency characteristics were estimated by means of a process involving interpolation of peak-flow yields determined for an upstream and downstream gage. Once storages had been estimated for the various recurrence intervals, corresponding dam-pool elevations were determined from elevation-storage ratings provided by the Miami Conservancy District.</span></p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095177","collaboration":"Prepared in cooperation With the Miami Conservancy District","usgsCitation":"Koltun, G., 2009, Annual peak-flow frequency characteristics and (or) peak dam-pool-elevation frequency characteristics of dry dams and selected streamflow-gaging stations in the Great Miami River Basin, Ohio: U.S. Geological Survey Scientific Investigations Report 2009-5177, iv, 15 p., https://doi.org/10.3133/sir20095177.","productDescription":"iv, 15 p.","temporalStart":"1922-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":423580,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87417.htm","linkFileType":{"id":5,"text":"html"}},{"id":125675,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5177.jpg"},{"id":13040,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5177/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Ohio","otherGeospatial":"Great Miami River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.8206,\n              40.55\n            ],\n            [\n              -84.8206,\n              39.1\n            ],\n            [\n              -83.5833,\n              39.1\n            ],\n            [\n              -83.5833,\n              40.55\n            ],\n            [\n              -84.8206,\n              40.55\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67bbc8","contributors":{"authors":[{"text":"Koltun, G. F. 0000-0003-0255-2960","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":49817,"corporation":false,"usgs":true,"family":"Koltun","given":"G. F.","affiliations":[],"preferred":false,"id":303384,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97868,"text":"sir20095194 - 2009 - Capacitively Coupled Resistivity Survey of Selected Irrigation Canals Within the North Platte River Valley, Western Nebraska and Eastern Wyoming, 2004 and 2007-2009","interactions":[],"lastModifiedDate":"2012-02-10T00:11:48","indexId":"sir20095194","displayToPublicDate":"2009-09-29T00:00:00","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":"2009-5194","title":"Capacitively Coupled Resistivity Survey of Selected Irrigation Canals Within the North Platte River Valley, Western Nebraska and Eastern Wyoming, 2004 and 2007-2009","docAbstract":"Due to water resources of portions of the North Platte River basin being designated as over-appropriated by the State of Nebraska Department of Natural Resources (DNR), the North Platte Natural Resources District (NPNRD), in cooperation with the DNR, is developing an Integrated Management Plan (IMP) for groundwater and surface water in the NPNRD. As part of the IMP, a three-dimensional numerical finite difference groundwater-flow model is being developed to evaluate the effectiveness of using leakage of water from selected irrigation canal systems to manage groundwater recharge. To determine the relative leakage potential of the upper 8 m of the selected irrigation canals within the North Platte River valley in western Nebraska and eastern Wyoming, the U.S. Geological Survey performed a land-based capacitively coupled (CC) resistivity survey along nearly 630 km of 13 canals and 2 laterals in 2004 and from 2007 to 2009. These 13 canals were selected from the 27 irrigation canals in the North Platte valley due to their location, size, irrigated area, and relation to the active North Platte valley flood plain and related paleochannels and terrace deposits where most of the saturated thickness in the alluvium exists. The resistivity data were then compared to continuous cores at 62 test holes down to a maximum depth of 8 m. Borehole electrical conductivity (EC) measurements at 36 of those test holes were done to correlate resistivity values with grain sizes in order to determine potential vertical leakage along the canals as recharge to the underlying alluvial aquifer. The data acquired in 2004, as well as the 25 test hole cores from 2004, are presented elsewhere. These data were reprocessed using the same updated processing and inversion algorithms used on the 2007 through 2009 datasets, providing a consistent and complete dataset for all collection periods. Thirty-seven test hole cores and borehole electrical conductivity measurements were acquired based on the 2008 data. This report presents comparisons between the CC resistivity data and results from the 37 test holes and includes all binned and inverted CC resistivity datasets from all four years as well as the EC log data for the 37 test holes acquired in 2008 and 2009. The information gained from these data can help State and local water managers and scientists better understand the characteristics of the shallow subsurface underlying the irrigation canals so that the water resources can be managed more effectively.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095194","collaboration":"Prepared in cooperation with the North Platte Natural Resources District","usgsCitation":"Burton, B., Johnson, M., Vrabel, J., Imig, B.H., Payne, J., and Tompkins, R.E., 2009, Capacitively Coupled Resistivity Survey of Selected Irrigation Canals Within the North Platte River Valley, Western Nebraska and Eastern Wyoming, 2004 and 2007-2009: U.S. Geological Survey Scientific Investigations Report 2009-5194, Report: vi, 70 p.; Figure; Digital Data Directory, https://doi.org/10.3133/sir20095194.","productDescription":"Report: vi, 70 p.; Figure; Digital Data Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2004-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":212,"text":"Crustal Imaging and Characterization","active":false,"usgs":true}],"links":[{"id":125683,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5194.jpg"},{"id":13043,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5194/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.33333333333333,41.5 ], [ -104.33333333333333,42.333333333333336 ], [ -102.66666666666667,42.333333333333336 ], [ -102.66666666666667,41.5 ], [ -104.33333333333333,41.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fde4b07f02db5f693a","contributors":{"authors":[{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":303396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":303394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vrabel, Joseph 0000-0002-8773-0764 jvrabel@usgs.gov","orcid":"https://orcid.org/0000-0002-8773-0764","contributorId":1577,"corporation":false,"usgs":true,"family":"Vrabel","given":"Joseph","email":"jvrabel@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Imig, Brian H.","contributorId":103376,"corporation":false,"usgs":true,"family":"Imig","given":"Brian","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":303399,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Payne, Jason  0000-0003-4294-7924 jdpayne@usgs.gov","orcid":"https://orcid.org/0000-0003-4294-7924","contributorId":1062,"corporation":false,"usgs":true,"family":"Payne","given":"Jason ","email":"jdpayne@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":303395,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tompkins, Ryan E.","contributorId":20851,"corporation":false,"usgs":true,"family":"Tompkins","given":"Ryan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":303398,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":97854,"text":"ofr20091148 - 2009 - Groundwater, surface–water, and water-chemistry data, Black Mesa area, northeastern Arizona—2007-2008","interactions":[],"lastModifiedDate":"2021-08-31T21:21:13.416031","indexId":"ofr20091148","displayToPublicDate":"2009-09-29T00:00:00","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":"2009-1148","title":"Groundwater, surface–water, and water-chemistry data, Black Mesa area, northeastern Arizona—2007-2008","docAbstract":"The N aquifer is an extensive aquifer and the primary source of groundwater in the 5,400-square-mile Black Mesa area in northeastern Arizona. Availability of water is an important issue in northeastern Arizona because of continued water requirements for industrial and municipal use by a growing population and because of low precipitation in the arid climate of the Black Mesa area, which is typically about 6 to 14 inches per year. \r\n\r\nThe U.S. Geological Survey water-monitoring program in the Black Mesa area began in 1971 and provides information about the long-term effects of groundwater withdrawals from the N aquifer for industrial and municipal uses. This report presents results of data collected as part of the monitoring program in the Black Mesa area from January 2007 to September 2008. The monitoring program includes measurements of (1) groundwater withdrawals, (2) groundwater levels, (3) spring discharge, (4) surface-water discharge, and (5) groundwater chemistry. \r\n\r\nIn 2007, total groundwater withdrawals were 4,270 acre-feet, industrial withdrawals were 1,170 acre-ft, and municipal withdrawals were 3,100 acre-ft. Total withdrawals during 2007 were about 41 percent less than total withdrawals in 2005. From 2006 to 2007, however, total withdrawals increased by 4 percent, industrial withdrawals decreased by approximately 2 percent, and total municipal withdrawals increased by 7 percent. \r\n\r\nFrom 2007 to 2008, annually measured water levels in the Black Mesa area declined in 6 of 11 wells measured in the unconfined areas of the N aquifer, and the median change was -0.2 feet. Water levels declined in 9 of 18 wells measured in the confined area of the aquifer. The median change for the confined area of the aquifer was -0.2 feet. From the prestress period (prior to 1965) to 2008, the median water-level change for 33 wells in both the confined and unconfined area was -12.9 feet. Median water-level changes were -1.0 feet for 15 wells measured in the unconfined areas and -33.2 feet for 18 wells measured in the confined area. \r\n\r\nSpring flow was measured at two springs in 2008. Flow decreased at both Moenkopi School Spring and Pasture Canyon Spring from previous years. Flow fluctuated during the period of record, but a decreasing trend was apparent. \r\n\r\nContinuous records of surface-water discharge in the Black Mesa area were collected from streamflow-gaging stations at the following sites: Moenkopi Wash at Moenkopi 09401260 (1976 to 2007), Dinnebito Wash near Sand Springs 09401110 (1993 to 2007), Polacca Wash near Second Mesa 09400568 (1994 to 2007), and Pasture Canyon Springs 09401265 (August 2004 to 2007). Median winter flows (November through February) of each water year were used as an index of the amount of groundwater discharge at the above-named sites. For the period of record of each streamflow-gaging station, the median winter flows have generally remained constant, which suggests no change in groundwater. The period of record is too short to determine if there is a trend at Pasture Canyon Spring. \r\n\r\nIn 2008, water samples collected from 6 wells and 2 springs in the Black Mesa area were analyzed for selected chemical constituents and the results compared with previous analyses. Concentrations of dissolved solids, chloride, and sulfate have varied at all 6 wells for the period of record, but neither increasing nor decreasing trends over time were found. Dissolved-solids, chloride, and sulfate concentrations increased at Moenkopi School Spring during the more than 12 years of record at that site. Concentrations of dissolved solids, chloride, and sulfate at Pasture Canyon Spring have not varied much since the early 1980s, and there is no trend in those data.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091148","collaboration":"Prepared in cooperation with the Bureau of Indian Affairs and the Arizona Department of Water Resources","usgsCitation":"Macy, J.P., 2009, Groundwater, surface–water, and water-chemistry data, Black Mesa area, northeastern Arizona—2007-2008: U.S. Geological Survey Open-File Report 2009-1148, vi, 43 p., https://doi.org/10.3133/ofr20091148.","productDescription":"vi, 43 p.","onlineOnly":"Y","temporalStart":"2007-01-01","temporalEnd":"2008-09-30","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":118519,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1148.jpg"},{"id":13029,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1148/","linkFileType":{"id":5,"text":"html"}},{"id":388446,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87412.htm"}],"country":"United States","state":"Arizona","otherGeospatial":"Black Mesa area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.5,35.5 ], [ -111.5,37 ], [ -109.5,37 ], [ -109.5,35.5 ], [ -111.5,35.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a68e4b07f02db63b250","contributors":{"authors":[{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303356,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97847,"text":"fs20093074 - 2009 - Effects of Climate Variability and Change on Groundwater Resources of the United States","interactions":[],"lastModifiedDate":"2012-02-02T00:15:11","indexId":"fs20093074","displayToPublicDate":"2009-09-29T00:00:00","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":"2009-3074","title":"Effects of Climate Variability and Change on Groundwater Resources of the United States","docAbstract":"Groundwater is an important part of the global fresh water supply and is affected by climate. U.S. Geological Survey (USGS) scientists are working with local, State, Federal, and international partners to understand how the availability and sustainability of groundwater resources in the United States will be affected by climate variability and change. This fact sheet describes climate variability and change, important groundwater resources of the Nation, and how USGS research is helping to answer critical questions about the effects of climate on groundwater.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093074","usgsCitation":"Gurdak, J.S., Hanson, R.T., and Green, T.R., 2009, Effects of Climate Variability and Change on Groundwater Resources of the United States: U.S. Geological Survey Fact Sheet 2009-3074, 4 p., https://doi.org/10.3133/fs20093074.","productDescription":"4 p.","costCenters":[{"id":492,"text":"Office of Global Change","active":false,"usgs":true}],"links":[{"id":13022,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3074/","linkFileType":{"id":5,"text":"html"}},{"id":118570,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3074.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db6251a7","contributors":{"authors":[{"text":"Gurdak, Jason S.","contributorId":61531,"corporation":false,"usgs":true,"family":"Gurdak","given":"Jason","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":303341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Timothy R.","contributorId":93587,"corporation":false,"usgs":true,"family":"Green","given":"Timothy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":303342,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97849,"text":"fs20093078 - 2009 - Unearthing Secrets of the Forest","interactions":[],"lastModifiedDate":"2012-02-02T00:15:08","indexId":"fs20093078","displayToPublicDate":"2009-09-29T00:00:00","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":"2009-3078","title":"Unearthing Secrets of the Forest","docAbstract":"Forests are a defining feature for large areas of the Pacific northwestern United States from northern California to Alaska. Coniferous temperate rainforests in the western Cascade and coastal mountain ranges are appreciated for their aesthetic value and abundant natural resources. Few people recognize the riches beneath the forest floor; yet, soil is a key ecosystem component that makes each type of forest unique. Soils harbor immense biological diversity and control the release of water and nutrients that support life above ground.\r\n\r\nUnderstanding how carbon and nutrients cycle in forests, known as forest biogeochemistry, is crucial for evaluating forest productivity, composition, diversity, and change. At the U.S. Geological Survey (USGS) Forest and Rangeland Ecosystem Science Center, research in the Terrestrial Ecosystems Laboratory focuses on nutrient cycling in five themes: climate change, nutrition and sustainability, fire effects, restoration, and forest-stream linkages. This research is essential to understand the entire forest ecosystem and to use the best science available to make informed policy and management decisions.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093078","usgsCitation":"Beldin, S.I., and Perakis, S., 2009, Unearthing Secrets of the Forest: U.S. Geological Survey Fact Sheet 2009-3078, 4 p., https://doi.org/10.3133/fs20093078.","productDescription":"4 p.","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":118572,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3078.jpg"},{"id":13024,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3078/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a18e4b07f02db6053d5","contributors":{"authors":[{"text":"Beldin, Sarah I.","contributorId":70081,"corporation":false,"usgs":true,"family":"Beldin","given":"Sarah","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":303345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perakis, Steven S. 0000-0003-0703-9314","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":16797,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven S.","affiliations":[],"preferred":false,"id":303344,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97852,"text":"sir20095183 - 2009 - Description and evaluation of numerical groundwater flow models for the Edwards Aquifer, south-central Texas","interactions":[],"lastModifiedDate":"2020-05-28T11:55:07.948529","indexId":"sir20095183","displayToPublicDate":"2009-09-29T00:00:00","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":"2009-5183","displayTitle":"Description and Evaluation of Numerical Groundwater Flow Models for the Edwards Aquifer, South-Central Texas","title":"Description and evaluation of numerical groundwater flow models for the Edwards Aquifer, south-central Texas","docAbstract":"<table border=\"0\" class=\"mce-item-table\"><tbody><tr><td id=\"leftContent\"><div id=\"abstract\"><p>A substantial number of public water system wells in south-central Texas withdraw groundwater from the karstic, highly productive Edwards aquifer. However, the use of numerical groundwater flow models to aid in the delineation of contributing areas for public water system wells in the Edwards aquifer is problematic because of the complex hydrogeologic framework and the presence of conduit-dominated flow paths in the aquifer. The U.S. Geological Survey, in cooperation with the Texas Commission on Environmental Quality, evaluated six published numerical groundwater flow models (all deterministic) that have been developed for the Edwards aquifer San Antonio segment or Barton Springs segment, or both. This report describes the models developed and evaluates each with respect to accessibility and ease of use, range of conditions simulated, accuracy of simulations, agreement with dye-tracer tests, and limitations of the models. These models are (1) GWSIM model of the San Antonio segment, a FORTRAN computer-model code that pre-dates the development of MODFLOW; (2) MODFLOW conduit-flow model of San Antonio and Barton Springs segments; (3)&nbsp;MODFLOW diffuse-flow model of San Antonio and Barton Springs segments; (4) MODFLOW Groundwater Availability Modeling [GAM] model of the Barton Springs segment; (5) MODFLOW recalibrated GAM model of the Barton Springs segment; and (6)&nbsp;MODFLOW–DCM (dual conductivity model) conduit model of the Barton Springs segment. The GWSIM model code is not commercially available, is limited in its application to the San Antonio segment of the Edwards aquifer, and lacks the ability of MODFLOW to easily incorporate newly developed processes and packages to better simulate hydrologic processes. MODFLOW is a widely used and tested code for numerical modeling of groundwater flow, is well documented, and is in the public domain. These attributes make MODFLOW a preferred code with regard to accessibility and ease of use. The MODFLOW conduit-flow model incorporates improvements over previous models by using (1)&nbsp;a user-friendly interface, (2) updated computer codes (MODFLOW–96 and MODFLOW–2000), (3) a finer grid resolution, (4) less-restrictive boundary conditions, (5) an improved discretization of hydraulic conductivity, (6) more accurate estimates of pumping stresses, (7) a long transient simulation period (54 years, 1947–2000), and (8) a refined representation of high-permeability zones or conduits. All of the models except the MODFLOW–DCM conduit model have limitations resulting from the use of Darcy’s law to simulate groundwater flow in a karst aquifer system where non-Darcian, turbulent flow might actually dominate. The MODFLOW–DCM conduit model is an improvement in the ability to simulate karst-like flow conditions in conjunction with porous-media-type matrix flow. However, the MODFLOW–DCM conduit model has had limited application and testing and currently (2008) lacks commercially available pre- and post-processors. The MODFLOW conduit-flow and diffuse-flow Edwards aquifer models are limited by the lack of calibration for the northern part of the Barton Springs segment (Travis County) and their reliance on the use of the calibrated hydraulic conductivity and storativity values from the calibrated Barton Springs segment GAM model. The major limitation of the Barton Springs segment GAM and recalibrated GAM models is that they were calibrated to match measured water levels and springflows for a restrictive range of hydrologic conditions, with each model having different hydraulic conductivity and storativity values appropriate to the hydrologic conditions that were simulated. The need for two different sets of hydraulic conductivity and storativity values increases the uncertainty associated with the accuracy of either set of values, illustrates the non-uniqueness of the model solution, and probably most importantly demonstrates the limitations of using a one-layer model to represent the heterogeneous hydrostratigraphic units composing the Edwards aquifer. In general, the best matches or agreement between groundwater flow directions inferred by numerical model simulation, and by dye-tracer tests, are observed where model outputs accurately reproduce the configuration of the potentiometric surface with regard to the positions of major and minor groundwater troughs and divides. None of the models, with the possible exception of the MODFLOW–DCM conduit model, has a documented capability to accurately simulate travel times for conduit-dominated velocities in the Edwards aquifer. Public water system assessments of wells in the Barton Springs segment of the Edwards aquifer, and elsewhere where conduit-flow conditions are thought to dominate aquifer hydraulic behavior, might be enhanced by use of either the MODFLOW–DCM model or the newly developed U.S. Geological Survey MODFLOW Conduit-Flow Process module for MODFLOW–2005, because each incorporates a type of dual or triple hydraulic conductivity approach and has the capability to explicitly simulate turbulent flow and conduit hydraulic characteristics.</p></div></td><td id=\"rightContent\"><br data-mce-bogus=\"1\"></td></tr></tbody></table>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095183","collaboration":"Prepared in cooperation with the Texas Commission on Environmental Quality","usgsCitation":"Lindgren, R.J., Taylor, C.J., and Houston, N.A., 2009, Description and evaluation of numerical groundwater flow models for the Edwards Aquifer, south-central Texas: U.S. Geological Survey Scientific Investigations Report 2009-5183, iv, 25 p., https://doi.org/10.3133/sir20095183.","productDescription":"iv, 25 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":125677,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5183.jpg"},{"id":13027,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5183/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -101,28 ], [ -101,31 ], [ -97,31 ], [ -97,28 ], [ -101,28 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66dd27","contributors":{"authors":[{"text":"Lindgren, Richard J. lindgren@usgs.gov","contributorId":1667,"corporation":false,"usgs":true,"family":"Lindgren","given":"Richard","email":"lindgren@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":303351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Charles J.","contributorId":93100,"corporation":false,"usgs":true,"family":"Taylor","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":303353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houston, Natalie A. 0000-0002-6071-4545 nhouston@usgs.gov","orcid":"https://orcid.org/0000-0002-6071-4545","contributorId":1682,"corporation":false,"usgs":true,"family":"Houston","given":"Natalie","email":"nhouston@usgs.gov","middleInitial":"A.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303352,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70158956,"text":"70158956 - 2009 - Velocity mapping in the Lower Congo River: A first look at the unique bathymetry and hydrodynamics of Bulu Reach","interactions":[],"lastModifiedDate":"2021-10-27T16:24:08.484691","indexId":"70158956","displayToPublicDate":"2009-09-25T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Velocity mapping in the Lower Congo River: A first look at the unique bathymetry and hydrodynamics of Bulu Reach","docAbstract":"<p><span>The lower Congo River is one of the deepest, most powerful, and most biologically diverse stretches of river on Earth. The river&rsquo;s 270 m decent from Malebo Pool though the gorges of the Crystal Mountains to the Atlantic Ocean (498 km downstream) is riddled with rapids, cataracts, and deep pools. Much of the lower Congo is a mystery from a hydraulics perspective. However, this stretch of the river is a hotbed for biologists who are documenting evolution in action within the diverse, but isolated, fish populations. Biologists theorize that isolation of fish populations within the lower Congo is due to barriers presented by flow structure and bathymetry. To investigate this theory, scientists from the U.S. Geological Survey and American Museum of Natural History teamed up with an expedition crew from National Geographic in 2008 to map flow velocity and bathymetry within target reaches in the lower Congo River using acoustic Doppler current profilers (ADCPs) and echo sounders. Simultaneous biological and water quality sampling was also completed. This paper presents some preliminary results from this expedition, specifically with regard to the velocity structure andbathymetry. Results show that the flow in the bedrock controlled Bulu reach of the lower Congo is highly energetic. Turbulent and secondary flow structures can span the full depth of flow (up to 165 m), while coherent bank-to-bank cross-channel flow structures are absent. Regions of flow separation near the banks are isolated from one another and from the opposite bank by high shear, high velocity zones with depth-averaged flow velocities that can exceed 4 m/s.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the IAHR symposium on river coastal and estuarine morphodynamics 2009","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"IAHR Symposium on River Coastal and Estuarine Morphodynamics 2009","conferenceDate":"September 21-25 2009","conferenceLocation":"Santa Fe, Argentina","language":"English","publisher":"CRC Press","usgsCitation":"Jackson, P., Oberg, K.A., Gardiner, N., and Shelton, J., 2009, Velocity mapping in the Lower Congo River: A first look at the unique bathymetry and hydrodynamics of Bulu Reach, <i>in</i> Proceedings of the IAHR symposium on river coastal and estuarine morphodynamics 2009, Santa Fe, Argentina, September 21-25 2009, 7 p.","productDescription":"7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013579","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":309789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Democratic Republic of the Congo","otherGeospatial":"Lower Congo River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              17.704467773437496,\n              -3.2885981251958962\n            ],\n            [\n              18.4185791015625,\n              -3.381823735328289\n            ],\n            [\n              18.6163330078125,\n              -3.5298694189562885\n            ],\n            [\n              18.5174560546875,\n              -3.7162636347405162\n            ],\n            [\n              17.583618164062496,\n              -3.365372801331187\n            ],\n            [\n              17.633056640625,\n              -3.277629828526926\n            ],\n            [\n              17.7593994140625,\n              -3.2885981251958962\n            ],\n            [\n              17.704467773437496,\n              -3.2885981251958962\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"561793d8e4b0cdb063e3fbb1","contributors":{"authors":[{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","affiliations":[],"preferred":false,"id":577044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oberg, Kevin A. kaoberg@usgs.gov","contributorId":928,"corporation":false,"usgs":true,"family":"Oberg","given":"Kevin","email":"kaoberg@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":577045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardiner, Ned","contributorId":147086,"corporation":false,"usgs":false,"family":"Gardiner","given":"Ned","email":"","affiliations":[],"preferred":false,"id":577046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelton, John","contributorId":149138,"corporation":false,"usgs":false,"family":"Shelton","given":"John","affiliations":[],"preferred":false,"id":577047,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70157543,"text":"70157543 - 2009 - Temporal characteristics of coherent flow structures generated over alluvial sand dunes, Mississippi River, revealed by acoustic doppler current profiling and multibeam echo sounding","interactions":[],"lastModifiedDate":"2022-11-03T13:42:04.130074","indexId":"70157543","displayToPublicDate":"2009-09-25T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Temporal characteristics of coherent flow structures generated over alluvial sand dunes, Mississippi River, revealed by acoustic doppler current profiling and multibeam echo sounding","docAbstract":"<p><span>This paper investigates the flow in the lee of a large sand dune located at the confluence of the Mississippi and Missouri Rivers, USA. Stationary profiles collected from an anchored boat using an acoustic Doppler current profiler (ADCP) were georeferenced with data from a real-time kinematic differential global positioning system. A multibeam echo sounder was used to map the bathymetry of the confluence and provided a morphological context for the ADCP measurements. The flow in the lee of a low-angle dune shows good correspondence with current conceptual models of flow over dunes. As expected, quadrant 2 events (upwellings of low-momentum fluid) are associated with high backscatter intensity. Turbulent events generated in the lower lee of a dune near the bed are associated with periods of vortex shedding and wake flapping. Remnant coherent structures that advect over the lower lee of the dune in the upper portion of the water column, have mostly dissipated and contribute little to turbulence intensities. The turbulent events that occupy most of the water column in the upper lee of the dune are associated with periods of wake flapping.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the IAHR symposium on river coastal and estuarine morphodynamics 2009","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"IAHR Symposium on River Coastal and Estuarine Morphodynamics 2009","conferenceDate":"September 21-25 2009","conferenceLocation":"Santa Fe, Argentina","language":"English","publisher":"CRC Press","usgsCitation":"Czuba, J.A., Oberg, K.A., Best, J.L., Parsons, D.R., Simmons, S.M., Johnson, K., and Malzone, C., 2009, Temporal characteristics of coherent flow structures generated over alluvial sand dunes, Mississippi River, revealed by acoustic doppler current profiling and multibeam echo sounding, <i>in</i> Proceedings of the IAHR symposium on river coastal and estuarine morphodynamics 2009, Santa Fe, Argentina, September 21-25 2009, 6 p.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013599","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":308609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Mississippi River, Missouri River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.13425230126444,\n              38.79276452465004\n            ],\n            [\n              -90.13379273893399,\n              38.79129900283712\n            ],\n            [\n              -90.12944778599132,\n              38.79413196785876\n            ],\n            [\n              -90.12326458372672,\n              38.79813700214737\n            ],\n            [\n              -90.11871073881619,\n              38.80492674348011\n            ],\n            [\n              -90.11720671664408,\n              38.812479622121884\n            ],\n            [\n              -90.12213656709794,\n              38.813488782325834\n            ],\n            [\n              -90.12773487185073,\n              38.8066349250372\n            ],\n            [\n              -90.12994912671532,\n              38.80155593678586\n            ],\n            [\n              -90.1304086890458,\n              38.7976487763886\n            ],\n            [\n              -90.13095180816401,\n              38.79569511585811\n            ],\n            [\n              -90.13425230126444,\n              38.79276452465004\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5606703fe4b058f706e51968","contributors":{"authors":[{"text":"Czuba, John A.","contributorId":147994,"corporation":false,"usgs":false,"family":"Czuba","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":573540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oberg, Kevin A. kaoberg@usgs.gov","contributorId":928,"corporation":false,"usgs":true,"family":"Oberg","given":"Kevin","email":"kaoberg@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":573541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Best, Jim L.","contributorId":147995,"corporation":false,"usgs":false,"family":"Best","given":"Jim","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":573542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parsons, Daniel R.","contributorId":35170,"corporation":false,"usgs":true,"family":"Parsons","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":573543,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simmons, S. M.","contributorId":147996,"corporation":false,"usgs":false,"family":"Simmons","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":573544,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, K. K.","contributorId":70871,"corporation":false,"usgs":true,"family":"Johnson","given":"K. K.","affiliations":[],"preferred":false,"id":573545,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Malzone, C.","contributorId":38816,"corporation":false,"usgs":true,"family":"Malzone","given":"C.","affiliations":[],"preferred":false,"id":573546,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":97845,"text":"sir20095156 - 2009 - Magnitude and Frequency of Rural Floods in the Southeastern United States, 2006: Volume 3, South Carolina","interactions":[],"lastModifiedDate":"2023-05-04T10:59:50.486185","indexId":"sir20095156","displayToPublicDate":"2009-09-24T00:00:00","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":"2009-5156","title":"Magnitude and Frequency of Rural Floods in the Southeastern United States, 2006: Volume 3, South Carolina","docAbstract":"A multistate approach was used to update methods for estimating the magnitude and frequency of floods in rural, ungaged basins in South Carolina, Georgia, and North Carolina that are not substantially affected by regulation, tidal fluctuations, or urban development. Annual peak-flow data through September 2006 were analyzed for 943 streamgaging stations having 10 or more years of data on rural streams in South Carolina, Georgia, North Carolina, and adjacent parts of Alabama, Florida, Tennessee, and Virginia. Flood-frequency estimates were computed for the 943 stations by fitting the logarithms of annual peak flows for each station to a Pearson Type III distribution. As part of the computation of flood-frequency estimates for the stations, a new value for the generalized skew coefficient was developed using a Bayesian generalized least-squares regression model. Additionally, basin characteristics for these stations were computed by using a geographical information system and automated computer algorithms.\r\n\r\nExploratory regression analyses using ordinary least-squares regression completed on the initial database of 943 gaged stations resulted in defining five hydrologic regions for South Carolina, Georgia, and North Carolina. Stations with drainage areas less than 1 square mile were removed from the database, and a procedure to examine for basin redundancy (based on drainage area and periods of record) also resulted in the removal of some stations from the regression database.\r\n\r\nRegional regression analysis, using generalized least-squares regression, was used to develop a set of predictive equations for estimating the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent chance exceedance flows for rural ungaged basins in Georgia, South Carolina, and North Carolina. Flood-frequency estimates and basin characteristics for 828 streamgaging stations were combined to form the final database used in the regional regression analysis. The final predictive equations are all functions of drainage area and percentage of the drainage basin within each hydrologic region. Average errors of prediction for these regression equations range from 34.0 to 47.7 percent.\r\n\r\nPeak-flow records at 25 regulated stations were assessed to determine if a flood-frequency analysis was appropriate. Based on those assessments, flood-frequency estimates are provided for three regulated stations. Annual peak-flow data are provided for the regulated stations in an appendix.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095156","collaboration":"Prepared in cooperation with the South Carolina Department of Transportation","usgsCitation":"Feaster, T., Gotvald, A.J., and Weaver, J., 2009, Magnitude and Frequency of Rural Floods in the Southeastern United States, 2006: Volume 3, South Carolina: U.S. Geological Survey Scientific Investigations Report 2009-5156, Report: viii, 227 p.; 2 Oversized Figures; Downloadable Files, https://doi.org/10.3133/sir20095156.","productDescription":"Report: viii, 227 p.; 2 Oversized Figures; Downloadable Files","additionalOnlineFiles":"Y","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":126595,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5156.jpg"},{"id":416653,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20235006","text":"Scientific Investigations Report 2023–5006","linkHelpText":"- <strong><em>The methods and statistics from SIR 2009–5156 have been updated in SIR 2023–5006.</em></strong>"},{"id":13018,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5156/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.5,30 ], [ -85.5,38.5 ], [ -74.5,38.5 ], [ -74.5,30 ], [ -85.5,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6494d3","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":303334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weaver, J. Curtis","contributorId":42260,"corporation":false,"usgs":true,"family":"Weaver","given":"J. Curtis","affiliations":[],"preferred":false,"id":303336,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97842,"text":"sir20095201 - 2009 - Ecological Requirements for Pallid Sturgeon Reproduction and Recruitment in the Lower Missouri River: A Research Synthesis 2005-08","interactions":[],"lastModifiedDate":"2012-02-10T00:11:49","indexId":"sir20095201","displayToPublicDate":"2009-09-24T00:00:00","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":"2009-5201","title":"Ecological Requirements for Pallid Sturgeon Reproduction and Recruitment in the Lower Missouri River: A Research Synthesis 2005-08","docAbstract":"This report provides a synthesis of results obtained between 2005 and 2008 from the Comprehensive Sturgeon Research Program, an interagency collaboration between the U.S. Geological Survey, Nebraska Game and Parks Commission, U.S. Fish and Wildlife Service, and the U.S. Army Corps of Engineers' Missouri River Recovery - Integrated Science Program. The goal of the Comprehensive Sturgeon Research Program is to improve fundamental understanding of reproductive ecology of the pallid sturgeon with the intent that improved understanding will inform river and species management decisions. Specific objectives include:\r\n\r\n*Determining movement, habitat-use, and reproductive behavior of pallid sturgeon; \r\n*Understanding reproductive physiology of pallid sturgeon and relations to environmental conditions; \r\n*Determining origin, transport, and fate of drifting pallid sturgeon larvae, and evaluating bottlenecks for recruitment of early life stages; \r\n*Quantifying availability and dynamics of aquatic habitats needed by pallid sturgeon for all life stages; and \r\n*Managing databases, integrating understanding, and publishing relevant information into the public domain. \r\n \r\n\r\nManagement actions to increase reproductive success and survival of pallid sturgeon in the Lower Missouri River have been focused on flow regime, channel morphology, and propagation. Integration of 2005-08 Comprehensive Sturgeon Research Program research provides insight into linkages among flow regime, re-engineered channel morphology, and pallid sturgeon reproduction and survival.\r\n\r\nThe research approach of the Comprehensive Sturgeon Research Program integrates opportunistic field studies, field-based experiments, and controlled laboratory studies. The field study plan is designed to explore the role of flow regime and associated environmental cues using two complementary approaches. An upstream-downstream approach compares sturgeon reproductive behavior between an upstream section of the Lower Missouri River with highly altered flow regime to a downstream section that maintains much of its pre-regulation flow variability. The upstream section also has the potential for an experimental approach to compare reproductive behavior in years with pulsed flow modifications ('spring rises') to years without.\r\n\r\nThe reproductive cycle of the female sturgeon requires several years to progress through gonadal development, oocyte maturation, and spawning. Converging lines of evidence support the hypothesis that maturation and readiness to spawn in female sturgeon is cued many months before spawning. Information on reproductive readiness of shovelnose sturgeon indicates that sturgeon at different locations along the Lower Missouri River between St. Louis and Gavins Point Dam are all responding to the same early cue. Although not a perfect surrogate, the more abundant shovelnose sturgeon is morphologically, physiologically, and genetically similar to pallid sturgeon, and thereby provides a useful comparative model for the rarer species. Day length is the likely candidate to define a temporal spawning window. Within the spawning window, one or more additional, short-term, and specific cues may serve to signal ovulation and release of gametes. Of three potential spawning cues - water temperature, water discharge, and day of year - water temperature is the most likely proximate cue because of the fundamental physiological role temperature plays in sturgeon embryo development and survival, and the sensitivity of many fish hormones to temperature change. It also is possible that neither temperature nor discharge is cueing spawning; instead, reproductive behavior may result from the biological clock advancing an individual fish's readiness to spawn day after day through the spawning period until the right moment, independent of local environmental conditions. Separation of the individual effects of discharge events, water temperature, and other possible factors, such as proximity to male","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095201","collaboration":"Prepared in cooperation with the Missouri River Recovery?Integrated Science Program U.S. Army Corps of Engineers, Yankton, South Dakota","usgsCitation":"DeLonay, A.J., Jacobson, R.B., Papoulias, D.M., Simpkins, D.G., Wildhaber, M.L., Reuter, J.M., Bonnot, T.W., Chojnacki, K.A., Korschgen, C.E., Mestl, G.E., and Mac, M.J., 2009, Ecological Requirements for Pallid Sturgeon Reproduction and Recruitment in the Lower Missouri River: A Research Synthesis 2005-08: U.S. Geological Survey Scientific Investigations Report 2009-5201, viii, 60 p., https://doi.org/10.3133/sir20095201.","productDescription":"viii, 60 p.","temporalStart":"2005-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":118497,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5201.jpg"},{"id":13015,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5201/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117,34 ], [ -117,50 ], [ -87,50 ], [ -87,34 ], [ -117,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ee4b07f02db627cd4","contributors":{"authors":[{"text":"DeLonay, Aaron J.","contributorId":53360,"corporation":false,"usgs":true,"family":"DeLonay","given":"Aaron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":303325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":303315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Papoulias, Diana M. 0000-0002-5106-2469 dpapoulias@usgs.gov","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":2726,"corporation":false,"usgs":true,"family":"Papoulias","given":"Diana","email":"dpapoulias@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":303318,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simpkins, Darin G.","contributorId":10892,"corporation":false,"usgs":true,"family":"Simpkins","given":"Darin","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":303320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":303316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reuter, Joanna M.","contributorId":50179,"corporation":false,"usgs":true,"family":"Reuter","given":"Joanna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":303324,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bonnot, Tom W.","contributorId":9131,"corporation":false,"usgs":true,"family":"Bonnot","given":"Tom","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":303319,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chojnacki, Kimberly A. kchojnacki@usgs.gov","contributorId":1978,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Kimberly","email":"kchojnacki@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":303317,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Korschgen, Carl E.","contributorId":29354,"corporation":false,"usgs":true,"family":"Korschgen","given":"Carl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":303322,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mestl, Gerald E.","contributorId":49336,"corporation":false,"usgs":true,"family":"Mestl","given":"Gerald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":303323,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mac, Michael J.","contributorId":16772,"corporation":false,"usgs":true,"family":"Mac","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":303321,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":97846,"text":"ofr20091204 - 2009 - Distribution and Joint Fish-Tag Survival of Juvenile Chinook Salmon Migrating through the Sacramento-San Joaquin River Delta, California, 2008","interactions":[],"lastModifiedDate":"2012-02-02T00:15:11","indexId":"ofr20091204","displayToPublicDate":"2009-09-24T00:00:00","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":"2009-1204","title":"Distribution and Joint Fish-Tag Survival of Juvenile Chinook Salmon Migrating through the Sacramento-San Joaquin River Delta, California, 2008","docAbstract":"Acoustic telemetry was used to obtain the movement histories of 915 juvenile fall-run Chinook salmon (Oncorhynchus tshawytscha) through the lower San Joaquin River and Sacramento-San Joaquin Delta, California, in 2008. Data were analyzed within a release-recapture framework to estimate survival, route distribution, and detection probabilities among three migration pathways through the Delta. The pathways included the primary route through the San Joaquin River and two less direct routes (Old River and Turner Cut). Strong inferences about survival were limited by premature tag failure, but estimates of fish distribution among migration routes should be unaffected by tag failure. Based on tag failure tests (N = 66 tags), we estimated that only 55-78 percent of the tags used in this study were still functioning when the last fish was detected exiting the study area 15 days after release. Due to premature tag failure, our 'survival' estimates represent the joint probability that both the tag and fish survived, not just survival of fish. Low estimates of fish-tag survival could have been caused by fish mortality or fish travel times that exceeded the life of the tag, but we were unable to differentiate between the two. Fish-tag survival through the Delta (from Durham Ferry to Chipps Island by all routes) ranged from 0.05 +or- 0.01 (SE) to 0.06 +or- 0.01 between the two weekly release groups. Among the three migration routes, fish that remained in the San Joaquin River exhibited the highest joint fish-tag survival (0.09 +or- 0.02) in both weeks, but only 22-33 percent of tagged fish used this route, depending on the week of release. Only 4-10 percent (depending on week) of tagged fish traveled through Turner Cut, but no tagged fish that used this route were detected exiting the Delta. Most fish (63-68 percent, depending on week of release) migrated through Old River, but fish-tag survival through this route (0.05 +or- 0.01) was only about one-half that of fish that remained in the San Joaquin River. Once tagged fish entered Old River, only fish collected at two large water conveyance projects and transported through the Delta by truck were detected exiting the Delta, suggesting that this route was the only successful migration pathway for fish that entered Old River. The rate of entrainment of tagged juvenile salmon into Old River was similar to the fraction of San Joaquin River discharge flowing into Old River, which averaged 63 percent but varied tidally and ranged from 33 to 100 percent daily. Although improvements in transmitter battery life are clearly needed, this information will help guide the development of future research and monitoring efforts in this system.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091204","collaboration":"Prepared in cooperation with the Technical Committee of the Vernalis Adaptive Management Plan and the San Joaquin River Group Authority","usgsCitation":"Holbrook, C., Perry, R.W., and Adams, N.S., 2009, Distribution and Joint Fish-Tag Survival of Juvenile Chinook Salmon Migrating through the Sacramento-San Joaquin River Delta, California, 2008: U.S. Geological Survey Open-File Report 2009-1204, vi, 31 p., https://doi.org/10.3133/ofr20091204.","productDescription":"vi, 31 p.","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":125497,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1204.jpg"},{"id":13019,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1204/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a272","contributors":{"authors":[{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":4198,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher M.","email":"cholbrook@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":303339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":303337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":303338,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97843,"text":"sir20095152 - 2009 - Hydrogeologic Framework of the Yakima River Basin Aquifer System, Washington","interactions":[],"lastModifiedDate":"2012-03-08T17:16:27","indexId":"sir20095152","displayToPublicDate":"2009-09-24T00:00:00","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":"2009-5152","title":"Hydrogeologic Framework of the Yakima River Basin Aquifer System, Washington","docAbstract":"The Yakima River basin aquifer system underlies about 6,200 square miles in south-central Washington. The aquifer system consists of basin-fill deposits occurring in six structural-sedimentary basins, the Columbia River Basalt Group (CRBG), and generally older bedrock. The basin-fill deposits were divided into 19 hydrogeologic units, the CRBG was divided into three units separated by two interbed units, and the bedrock was divided into four units (the Paleozoic, the Mesozoic, the Tertiary, and the Quaternary bedrock units). The thickness of the basin-fill units and the depth to the top of each unit and interbed of the CRBG were mapped. Only the surficial extent of the bedrock units was mapped due to insufficient data. Average mapped thickness of the different units ranged from 10 to 600 feet.\r\n\r\nLateral hydraulic conductivity (Kh) of the units varies widely indicating the heterogeneity of the aquifer system. Average or effective Kh values of the water-producing zones of the basin-fill units are on the order of 1 to 800 ft/d and are about 1 to 10 ft/d for the CRBG units as a whole. Effective or average Kh values for the different rock types of the Paleozoic, Mesozoic, and Tertiary units appear to be about 0.0001 to 3 ft/d. The more permeable Quaternary bedrock unit may have Kh values that range from 1 to 7,000 ft/d. Vertical hydraulic conductivity (Kv) of the units is largely unknown. Kv values have been estimated to range from about 0.009 to 2 ft/d for the basin-fill units and Kv values for the clay-to-shale parts of the units may be as small as 10-10 to 10-7 ft/d. Reported Kv values for the CRBG units ranged from 4x10-7 to 4 ft/d.\r\n\r\nVariations in the concentrations of geochemical solutes and the concentrations and ratios of the isotopes of hydrogen, oxygen, and carbon in groundwater provided information on the hydrogeologic framework and groundwater movement. Stable isotope ratios of water (deuterium and oxygen-18) indicated dispersed sources of groundwater recharge to the CRBG and basin-fill units and that the source of surface and groundwater is derived from atmospheric precipitation. The concentrations of dissolved methane were larger than could be attributable to atmospheric sources in more than 80 percent of wells with measured methane concentrations. The concentrations of the stable isotope of carbon-13 of methane were indicative of a thermogenic source of methane. Most of the occurrences of methane were at locations several miles distant from mapped structural fault features, suggesting the upward vertical movement of thermogenic methane from the underlying bedrock may be more widespread than previously assumed or there may be a more general occurrence of unmapped (buried) fault structures. Carbon and tritium isotope data and the concentrations of dissolved constituents indicate a complex groundwater flow system with multiple contributing zones to groundwater wells and relative groundwater residence time on the order of a few tens to many thousands of years.\r\n\r\nPotential mean annual recharge for water years 1950-2003 was estimated to be about 15.6 in. or 7,149 ft3/s (5.2 million acre-ft) and includes affects of human activities such as irrigation of croplands. If there had been no human activities (predevelopment conditions) during that time period, estimated recharge would have been about 11.9 in. or 5,450 ft3/s (3.9 million acre-ft). Estimated mean annual recharge ranges from virtually zero in the dry parts of the lower basin to more than 100 in. in the humid uplands, where annual precipitation is more than 120 in.\r\n\r\nGroundwater in the different hydrogeologic units occurs under perched, unconfined, semiconfined, and confined conditions. Groundwater moves from topographic highs in the uplands to topographic low areas along the streams. The flow system in the basin-fill units is compartmentalized due to topography and geologic structure. The flow system also is compartmentalized for the CRBG units but not to as large","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095152","collaboration":"Prepared in cooperation with the Bureau of Reclamation, Washington State Department of Ecology, and the Yakama Nation","usgsCitation":"Vaccaro, J.J., Jones, M., Ely, D., Keys, M.E., Olsen, T.D., Welch, W., and Cox, S., 2009, Hydrogeologic Framework of the Yakima River Basin Aquifer System, Washington: U.S. Geological Survey Scientific Investigations Report 2009-5152, Report: x, 107 p.; 4 Plates; Figures, https://doi.org/10.3133/sir20095152.","productDescription":"Report: x, 107 p.; 4 Plates; Figures","additionalOnlineFiles":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":118679,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5152.jpg"},{"id":13016,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5152/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.58333333333333,45.916666666666664 ], [ -121.58333333333333,47.666666666666664 ], [ -119,47.666666666666664 ], [ -119,45.916666666666664 ], [ -121.58333333333333,45.916666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db628ddc","contributors":{"authors":[{"text":"Vaccaro, J. J.","contributorId":48173,"corporation":false,"usgs":true,"family":"Vaccaro","given":"J.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":303329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, M. A.","contributorId":37736,"corporation":false,"usgs":true,"family":"Jones","given":"M. A.","affiliations":[],"preferred":false,"id":303327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ely, D.M.","contributorId":33356,"corporation":false,"usgs":true,"family":"Ely","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":303326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keys, M. E.","contributorId":69656,"corporation":false,"usgs":true,"family":"Keys","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":303332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olsen, T. D.","contributorId":41463,"corporation":false,"usgs":true,"family":"Olsen","given":"T.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":303328,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Welch, W.B.","contributorId":53895,"corporation":false,"usgs":true,"family":"Welch","given":"W.B.","affiliations":[],"preferred":false,"id":303330,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cox, S.E.","contributorId":66663,"corporation":false,"usgs":true,"family":"Cox","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":303331,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":97844,"text":"sir20095096 - 2009 - Variations in Withdrawal, Return Flow, and Consumptive Use of Water in Ohio and Indiana, with Selected Data from Wisconsin, 1999-2004","interactions":[],"lastModifiedDate":"2012-02-10T00:11:46","indexId":"sir20095096","displayToPublicDate":"2009-09-24T00:00:00","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":"2009-5096","title":"Variations in Withdrawal, Return Flow, and Consumptive Use of Water in Ohio and Indiana, with Selected Data from Wisconsin, 1999-2004","docAbstract":"This report contains an analysis of water withdrawal and return-flow data for Ohio and withdrawal data for Indiana and Wisconsin to compute consumptive-use coefficients and to describe monthly variability of withdrawals and consumptive use. Concurrent data were available for most water-use categories from 1999 through 2004. Average monthly water withdrawals are discussed for a variety of water-use categories, and average water use per month is depicted graphically for Ohio, Indiana, and Wisconsin (public supply only).\r\n\r\nFor most water-use categories, the summer months were those of highest withdrawal and highest consumptive use. For public supply, average monthly withdrawals ranged from 1,380 million gallons per day (Mgal/d) (November) to 1,620 Mgal/d (July) in Ohio, 621 Mgal/d (December) to 816 Mgal/d (July) in Indiana, and 515 Mgal/d (December) to 694 Mgal/d (July) in Wisconsin. Ohio and Indiana thermoelectric facilities had large increases in average monthly withdrawals in the summer months (5,520 Mgal/d in March to 7,510 Mgal/d in August for Indiana; 7,380 Mgal/d in February to 10,040 Mgal/d in July for Ohio), possibly because of increased electricity production in the summer, a need for additional cooling-water withdrawals when intake-water temperature is high, or use of different types of cooling methods during different times of the year. Average industrial withdrawals ranged from 2,220 Mgal/d (December) to 2,620 Mgal/d (August) in Indiana and from 707 Mgal/d (January) to 787 Mgal/d (August) in Ohio. The Ohio and Indiana irrigation data showed that most withdrawals were in May through October for golf courses, nurseries, and crop irrigation. Commercial water withdrawals ranged from 30.4 Mgal/d (January) to 65.0 Mgal/d (September) in Indiana and from 23.2 Mgal/d (November) to 49.5 Mgal/d (August) in Ohio; commercial facilities that have high water demand in Ohio and Indiana are medical facilities, schools, amusement facilities, wildlife facilities, large stores, colleges, correctional institutions, and national security facilities. Monthly livestock withdrawals were constant for Ohio but were more variable in Indiana and depended on whether the livestock facility operated on a seasonal schedule. Aquaculture withdrawals appeared to correlate with growing seasons and with aeration of ponds during the winter months. Mining withdrawals - specifically, those for nonmetallic mining - tended to be highest in April and may be related to dewatering.\r\n\r\nConsumptive use and consumptive-use coefficients were computed by two principal methods in this study: the return-flow and withdrawal method (RW; Ohio only) and the winter-base-rate method (WBR; Ohio, Indiana and Wisconsin). The WBR method was not suitable for the thermoelectric, industrial, irrigation, livestock, aquaculture, and mining water-use categories. The RW method was not used for public-supply facilities. A third method, the Standard Industrial Classification code method (SIC), was used only for certain industrial facilities. The public-supply annual average consumptive-use coefficient derived by use of the WBR methods ranged from 6 to 8 percent among Ohio, Indiana, and Wisconsin; the summer average consumptive-use coefficient was considerably higher, ranging from 16 to 20 percent. The commercial annual consumptive-use coefficient for both Ohio and Indiana was 30 percent by the WBR method, which fell within the Ohio annual median (17 percent) and annual average (42 percent) by the RW method. Thermoelectric consumptive use differs greatly by the type of cooling the facility uses; the Ohio annual median consumptive-use coefficient (RW method) was 2 percent for all thermoelectric facilities and facilities with multiple types of cooling, but exclusively once-through-cooling facilities had a median of 0 percent and exclusively closed-loop-cooling facilities had a median of 25 percent. Industrial consumptive-use coefficients varied by type of industry, as reflected by SIC code","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095096","isbn":"9781411325081","usgsCitation":"Shaffer, K., 2009, Variations in Withdrawal, Return Flow, and Consumptive Use of Water in Ohio and Indiana, with Selected Data from Wisconsin, 1999-2004: U.S. Geological Survey Scientific Investigations Report 2009-5096, viii, 93 p., https://doi.org/10.3133/sir20095096.","productDescription":"viii, 93 p.","temporalStart":"1999-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":448,"text":"National Water Availability and Use Program","active":false,"usgs":true}],"links":[{"id":118634,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5096.jpg"},{"id":13017,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5096/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100,35 ], [ -100,50 ], [ -70,50 ], [ -70,35 ], [ -100,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697d65","contributors":{"authors":[{"text":"Shaffer, Kimberly H.","contributorId":98275,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly H.","affiliations":[],"preferred":false,"id":303333,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97838,"text":"sir20095081 - 2009 - Watershed Models for Decision Support for Inflows to Potholes Reservoir, Washington","interactions":[],"lastModifiedDate":"2012-03-08T17:16:27","indexId":"sir20095081","displayToPublicDate":"2009-09-22T00:00:00","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":"2009-5081","title":"Watershed Models for Decision Support for Inflows to Potholes Reservoir, Washington","docAbstract":"A set of watershed models for four basins (Crab Creek, Rocky Ford Creek, Rocky Coulee, and Lind Coulee), draining into Potholes Reservoir in east-central Washington, was developed as part of a decision support system to aid the U.S. Department of the Interior, Bureau of Reclamation, in managing water resources in east-central Washington State. The project is part of the U.S. Geological Survey and Bureau of Reclamation collaborative Watershed and River Systems Management Program. A conceptual model of hydrology is outlined for the study area that highlights the significant processes that are important to accurately simulate discharge under a wide range of conditions. The conceptual model identified the following factors as significant for accurate discharge simulations: (1) influence of frozen ground on peak discharge, (2) evaporation and ground-water flow as major pathways in the system, (3) channel losses, and (4) influence of irrigation practices on reducing or increasing discharge. \r\n\r\nThe Modular Modeling System was used to create a watershed model for the four study basins by combining standard Precipitation Runoff Modeling System modules with modified modules from a previous study and newly modified modules. The model proved unreliable in simulating peak-flow discharge because the index used to track frozen ground conditions was not reliable. Mean monthly and mean annual discharges were more reliable when simulated. Data from seven USGS streamflow-gaging stations were used to compare with simulated discharge for model calibration and evaluation. Mean annual differences between simulated and observed discharge varied from 1.2 to 13.8 percent for all stations used in the comparisons except one station on a regional ground-water discharge stream. Two thirds of the mean monthly percent differences between the simulated mean and the observed mean discharge for these six stations were between -20 and 240 percent, or in absolute terms, between -0.8 and 11 cubic feet per second. \r\n\r\nA graphical user interface was developed for the user to easily run the model, make runoff forecasts, and evaluate the results. The models; however, are not reliable for managing short-term operations because of their demonstrated inability to match individual storm peaks and individual monthly discharge values. Short-term forecasting may be improved with real-time monitoring of the extent of frozen ground and the snow-water equivalent in the basin. Despite the models unreliability for short-term runoff forecasts, they are useful in providing long-term, time-series discharge data where no observed data exist.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095081","collaboration":"A contribution of the Watershed and River Systems Management Program, a joint program of the U.S. Geological Survey and the Bureau of Reclamation","usgsCitation":"Mastin, M.C., 2009, Watershed Models for Decision Support for Inflows to Potholes Reservoir, Washington: U.S. Geological Survey Scientific Investigations Report 2009-5081, viii, 55 p., https://doi.org/10.3133/sir20095081.","productDescription":"viii, 55 p.","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":118628,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5081.jpg"},{"id":13011,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5081/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.58333333333333,46.916666666666664 ], [ -119.58333333333333,48 ], [ -117.75,48 ], [ -117.75,46.916666666666664 ], [ -119.58333333333333,46.916666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dde4b07f02db5e26e8","contributors":{"authors":[{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303306,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97841,"text":"sim3088 - 2009 - Geologic Setting and Hydrogeologic Units of the Columbia Plateau Regional Aquifer System, Washington, Oregon, and Idaho","interactions":[],"lastModifiedDate":"2020-01-28T15:44:05","indexId":"sim3088","displayToPublicDate":"2009-09-22T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3088","title":"Geologic Setting and Hydrogeologic Units of the Columbia Plateau Regional Aquifer System, Washington, Oregon, and Idaho","docAbstract":"The Columbia Plateau Regional Aquifer System (CPRAS) covers approximately 44,000 square miles of northeastern Oregon, southeastern Washington, and western Idaho. The area supports a $6 billion per year agricultural industry, leading the Nation in production of apples and nine other commodities (State of Washington Office of Financial Management, 2007; U.S. Department of Agriculture, 2007). Groundwater availability in the aquifers of the area is a critical water-resource management issue because the water demand for agriculture, economic development, and ecological needs is high. \r\n\r\nThe primary aquifers of the CPRAS are basalts of the Columbia River Basalt Group (CRBG) and overlying basin-fill sediments. Water-resources issues that have implications for future groundwater availability in the region include (1) widespread water-level declines associated with development of groundwater resources for irrigation and other uses, (2) reduction in base flow to rivers and associated effects on temperature and water quality, and (3) current and anticipated effects of global climate change on recharge, base flow, and ultimately, groundwater availability. \r\n\r\nAs part of a National Groundwater Resources Program, the U.S. Geological Survey began a study of the CPRAS in 2007 with the broad goals of (1) characterizing the hydrologic status of the system, (2) identifying trends in groundwater storage and use, and (3) quantifying groundwater availability. \r\n\r\nThe study approach includes documenting changes in the status of the system, quantifying the hydrologic budget for the system, updating the regional hydrogeologic framework, and developing a groundwater-flow simulation model for the system. The simulation model will be used to evaluate and test the conceptual model of the system and later to evaluate groundwater availability under alternative development and climate scenarios.\r\n\r\nThe objectives of this study were to update the hydrogeologic framework for the CPRAS using the available geologic mapping and well information and to develop a digital, three-dimensional hydrogeologic model that could be used as the basis of a groundwater-flow model. This report describes the principal geologic and hydrogeologic units of the CPRAS and geologic map and well data that were compiled as part of the study. The report also describes simplified regional hydrogeologic sections and unit extent maps that were used to conceptualize the framework prior to development of the digital 3-dimensional framework model.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim3088","usgsCitation":"Kahle, S.C., Olsen, T.D., and Morgan, D.S., 2009, Geologic Setting and Hydrogeologic Units of the Columbia Plateau Regional Aquifer System, Washington, Oregon, and Idaho: U.S. Geological Survey Scientific Investigations Map 3088, Map Sheet: 44 x 34 inches, https://doi.org/10.3133/sim3088.","productDescription":"Map Sheet: 44 x 34 inches","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":125540,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3088.jpg"},{"id":13014,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3088/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho, Oregon, Washington","otherGeospatial":"Columbia Plateau Regional Aquifer System","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123,44 ], [ -123,49 ], [ -115,49 ], [ -115,44 ], [ -123,44 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a83b4","contributors":{"authors":[{"text":"Kahle, Sue C. 0000-0003-1262-4446 sckahle@usgs.gov","orcid":"https://orcid.org/0000-0003-1262-4446","contributorId":3096,"corporation":false,"usgs":true,"family":"Kahle","given":"Sue","email":"sckahle@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olsen, Theresa D. 0000-0003-4099-4057 tdolsen@usgs.gov","orcid":"https://orcid.org/0000-0003-4099-4057","contributorId":1644,"corporation":false,"usgs":true,"family":"Olsen","given":"Theresa","email":"tdolsen@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgan, David S.","contributorId":73181,"corporation":false,"usgs":true,"family":"Morgan","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":303314,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97837,"text":"sir20095167 - 2009 - Methodology for Estimation of Flood Magnitude and Frequency for New Jersey Streams","interactions":[],"lastModifiedDate":"2012-03-08T17:16:27","indexId":"sir20095167","displayToPublicDate":"2009-09-22T00:00:00","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":"2009-5167","title":"Methodology for Estimation of Flood Magnitude and Frequency for New Jersey Streams","docAbstract":"Methodologies were developed for estimating flood magnitudes at the 2-, 5-, 10-, 25-, 50-, 100-, and 500-year recurrence intervals for unregulated or slightly regulated streams in New Jersey. Regression equations that incorporate basin characteristics were developed to estimate flood magnitude and frequency for streams throughout the State by use of a generalized least squares regression analysis. Relations between flood-frequency estimates based on streamflow-gaging-station discharge and basin characteristics were determined by multiple regression analysis, and weighted by effective years of record. The State was divided into five hydrologically similar regions to refine the regression equations. The regression analysis indicated that flood discharge, as determined by the streamflow-gaging-station annual peak flows, is related to the drainage area, main channel slope, percentage of lake and wetland areas in the basin, population density, and the flood-frequency region, at the 95-percent confidence level. The standard errors of estimate for the various recurrence-interval floods ranged from 48.1 to 62.7 percent.\r\n\r\nAnnual-maximum peak flows observed at streamflow-gaging stations through water year 2007 and basin characteristics determined using geographic information system techniques for 254 streamflow-gaging stations were used for the regression analysis. Drainage areas of the streamflow-gaging stations range from 0.18 to 779 mi2. Peak-flow data and basin characteristics for 191 streamflow-gaging stations located in New Jersey were used, along with peak-flow data for stations located in adjoining States, including 25 stations in Pennsylvania, 17 stations in New York, 16 stations in Delaware, and 5 stations in Maryland. Streamflow records for selected stations outside of New Jersey were included in the present study because hydrologic, physiographic, and geologic boundaries commonly extend beyond political boundaries.\r\n\r\nThe StreamStats web application was developed cooperatively by the U.S. Geological Survey and the Environmental Systems Research Institute, Inc., and was designed for national implementation. This web application has been recently implemented for use in New Jersey. This program used in conjunction with a geographic information system provides the computation of values for selected basin characteristics, estimates of flood magnitudes and frequencies, and statistics for stream locations in New Jersey chosen by the user, whether the site is gaged or ungaged.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095167","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection and the U.S. Army Corps of Engineers","usgsCitation":"Watson, K.M., and Schopp, R.D., 2009, Methodology for Estimation of Flood Magnitude and Frequency for New Jersey Streams: U.S. Geological Survey Scientific Investigations Report 2009-5167, vi, 52 p., https://doi.org/10.3133/sir20095167.","productDescription":"vi, 52 p.","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":125622,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5167.jpg"},{"id":13010,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5167/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76,38.75 ], [ -76,41.5 ], [ -73,41.5 ], [ -73,38.75 ], [ -76,38.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629f9e","contributors":{"authors":[{"text":"Watson, Kara M. 0000-0002-2685-0260 kmwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-2685-0260","contributorId":2134,"corporation":false,"usgs":true,"family":"Watson","given":"Kara","email":"kmwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schopp, Robert D.","contributorId":10426,"corporation":false,"usgs":true,"family":"Schopp","given":"Robert","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":303305,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97839,"text":"sir20095128 - 2009 - Estimated water use in Washington, 2005","interactions":[],"lastModifiedDate":"2019-12-30T14:10:35","indexId":"sir20095128","displayToPublicDate":"2009-09-22T00:00:00","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":"2009-5128","title":"Estimated water use in Washington, 2005","docAbstract":"Water use in the State of Washington has evolved in the past century from meager domestic and stock water needs to the current complex requirements of domestic-water users, large irrigation projects, industrial plants, and numerous other uses such as fish habitat and recreational activities. Since 1950, the U.S. Geological Survey (USGS) has, at 5-year intervals, compiled data on the amount of water used in homes, businesses, industries, and on farms throughout the State. This water-use data, combined with other related USGS information, has facilitated a unique understanding of the effects of human activity on the State's water resources. As water availability continues to emerge as an important issue in the 21st century, the need for consistent, long-term water-use data will increase to support wise use of this essential natural resource.\r\n\r\nThis report presents state and county estimates of the amount of public- and self-supplied water used for domestic, irrigation, livestock, aquaculture, industrial, mining, and thermoelectric power purposes in the State of Washington during 2005. Offstream fresh-water use was estimated to be 5,780 million gallons per day (Mgal/d). Domestic water use was estimated to be 648 Mgal/d or 11 percent of the total. Irrigation water use was estimated to be 3,520 Mgal/d, or 61 percent of the total. Industrial fresh-water use was estimated to be 520 Mgal/d, or 9 percent of the total. These three categories accounted for about 81 percent (4,690 Mgal/d) of the total of the estimated offstream freshwater use in Washington during 2005.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095128","usgsCitation":"Lane, R.C., 2009, Estimated water use in Washington, 2005: U.S. Geological Survey Scientific Investigations Report 2009-5128, Report: iv, 31 p.; HTML, https://doi.org/10.3133/sir20095128.","productDescription":"Report: iv, 31 p.; HTML","temporalStart":"2005-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":125603,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5128.jpg"},{"id":13012,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5128/","linkFileType":{"id":5,"text":"html"}}],"country":"United 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 \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd7c5","contributors":{"authors":[{"text":"Lane, R. C.","contributorId":6421,"corporation":false,"usgs":true,"family":"Lane","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":303307,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97840,"text":"ds463 - 2009 - Groundwater-quality data in the South Coast Interior Basins study unit, 2008: Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2022-07-19T21:01:03.316013","indexId":"ds463","displayToPublicDate":"2009-09-22T00:00:00","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":"463","title":"Groundwater-quality data in the South Coast Interior Basins study unit, 2008: Results from the California GAMA Program","docAbstract":"<p>Groundwater quality in the approximately 653-square-mile South Coast Interior Basins (SCI) study unit was investigated from August to December 2008, as part of the Priority Basins Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The GAMA Priority Basins Project was developed in response to Legislative mandates (Supplemental Report of the 1999 Budget Act 1999-00 Fiscal Year; and, the Groundwater-Quality Monitoring Act of 2001 [Sections 10780-10782.3 of the California Water Code, Assembly Bill 599]) to assess and monitor the quality of groundwater used as public supply for municipalities in California, and is being conducted by the U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board (SWRCB). SCI was the 27th study unit to be sampled as part of the GAMA Priority Basins Project.</p><p>This study was designed to provide a spatially unbiased assessment of the quality of untreated groundwater used for public water supplies within SCI, and to facilitate statistically consistent comparisons of groundwater quality throughout California. Samples were collected from 54 wells within the three study areas [Livermore, Gilroy, and Cuyama] of SCI in Alameda, Santa Clara, San Benito, Santa Barbara, Ventura, and Kern Counties. Thirty-five of the wells were selected using a spatially distributed, randomized grid-based method to provide statistical representation of the study unit (grid wells), and 19 were selected to aid in evaluation of specific water-quality issues (understanding wells).</p><p>The groundwater samples were analyzed for organic constituents [volatile organic compounds (VOCs), pesticides and pesticide degradates, polar pesticides and metabolites, and pharmaceutical compounds], constituents of special interest [perchlorate and N-nitrosodimethylamine (NDMA)], naturally occurring inorganic constituents [trace elements, nutrients, major and minor ions, silica, total dissolved solids (TDS), and alkalinity], and radioactive constituents [gross alpha and gross beta radioactivity and radon-222]. Naturally occurring isotopes [stable isotopes of hydrogen, oxygen, and carbon, and activities of tritium and carbon-14] and dissolved noble gases also were measured to help identify the sources and ages of the sampled groundwater. In total, 288 constituents and water-quality indicators (field parameters) were investigated.</p><p>Three types of quality-control samples (blanks, replicates, and matrix spikes) each were collected at approximately 4–11&nbsp;percent of the wells, and the results for these samples were used to evaluate the quality of the data for the groundwater samples. Field blanks rarely contained detectable concentrations of any constituent, suggesting that contamination was not a significant source of bias in the data obtained from the groundwater samples. Differences between replicate samples generally were less than 10 percent relative standard deviation, indicating acceptable analytical reproducibility. Matrix spike recoveries were within the acceptable range (70 to 130&nbsp;percent) for most compounds.</p><p>This study did not attempt to evaluate the quality of water delivered to consumers; after withdrawal from the ground, untreated groundwater typically is treated, disinfected, and/or blended with other waters to maintain water quality. Regulatory thresholds apply to water that is served to the consumer, not to untreated groundwater. However, to provide some context for the results, concentrations of constituents measured in the untreated groundwater were compared with regulatory and nonregulatory health-based thresholds established by the U.S. Environmental Protection Agency (USEPA) and California Department of Public Health (CDPH), and to nonregulatory thresholds established for aesthetic and technical concerns by CDPH. Comparisons between data collected for this study and thresholds for drinking water are for illustrative purposes only, and are not indicative of compliance or noncompliance with those thresholds.</p><p>Most inorganic constituents that were detected in groundwater samples from the 35 grid wells in the SCI study unit were found at concentrations below drinking-water thresholds; additionally, all detections of organic constituents in SCI grid well samples were below health-based thresholds.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds463","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Mathany, T., Kulongoski, J., Ray, M.C., and Belitz, K., 2009, Groundwater-quality data in the South Coast Interior Basins study unit, 2008: Results from the California GAMA Program: U.S. Geological Survey Data Series 463, xii, 83 p., https://doi.org/10.3133/ds463.","productDescription":"xii, 83 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":118588,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_463.jpg"},{"id":13013,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/463/","linkFileType":{"id":5,"text":"html"}},{"id":404082,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87388.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"South Coast Interior Basins study unit","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.9833,\n              37.5833\n            ],\n            [\n              -121.650,\n              37.5833\n            ],\n            [\n              -121.650,\n              37.7833\n            ],\n            [\n              -121.9833,\n              37.7833\n            ],\n            [\n              -121.9833,\n              37.5833\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a94e4b07f02db658d8f","contributors":{"authors":[{"text":"Mathany, Timothy M. 0000-0002-4747-5113","orcid":"https://orcid.org/0000-0002-4747-5113","contributorId":99949,"corporation":false,"usgs":true,"family":"Mathany","given":"Timothy M.","affiliations":[],"preferred":false,"id":303311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":94750,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","affiliations":[],"preferred":false,"id":303310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ray, Mary C.","contributorId":65945,"corporation":false,"usgs":true,"family":"Ray","given":"Mary","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":303309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":303308,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97834,"text":"fs20093089 - 2009 - Science-Based Strategies for Sustaining Coral Ecosystems","interactions":[],"lastModifiedDate":"2012-02-02T00:14:27","indexId":"fs20093089","displayToPublicDate":"2009-09-19T00:00:00","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":"2009-3089","title":"Science-Based Strategies for Sustaining Coral Ecosystems","docAbstract":"Coral ecosystems and their natural capital are at risk. Greenhouse gas emissions, overfishing, and harmful land-use practices are damaging our coral reefs. Overwhelming scientific evidence indicates that the threats are serious, and if they are left unchecked, the ecological and social consequences will be significant and widespread. Although the primary stressors to coral ecosystems are known, science-based strategies are needed to more accurately explain natural processes and forecast human-induced change. Collaborations among managers and scientists and enhanced mapping, monitoring, research, and modeling can lead to effective mitigation plans. U.S. Geological Survey scientists and their partners assess coral ecosystem history, ecology, vulnerability, and resiliency and provide study results to decisionmakers who may devise policies to sustain coral resources and the essential goods and services they provide.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093089","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2009, Science-Based Strategies for Sustaining Coral Ecosystems: U.S. Geological Survey Fact Sheet 2009-3089, 4 p., https://doi.org/10.3133/fs20093089.","productDescription":"4 p.","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":125421,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3089.jpg"},{"id":13006,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3089/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fb8a8","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535020,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97832,"text":"fs20093087 - 2009 - Shuttle Radar Topography Mission (SRTM)","interactions":[],"lastModifiedDate":"2012-02-02T00:15:05","indexId":"fs20093087","displayToPublicDate":"2009-09-19T00:00:00","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":"2009-3087","title":"Shuttle Radar Topography Mission (SRTM)","docAbstract":"Under an agreement with the National Aeronautics and Space Administration (NASA) and the Department of Defense's National Geospatial-Intelligence Agency (NGA), the U.S. Geological Survey (USGS) is distributing elevation data from the Shuttle Radar Topography Mission (SRTM). The SRTM is a joint project of NASA and NGA to map the Earth's land surface in three dimensions at an unprecedented level of detail. As part of space shuttle Endeavour's flight during February 11-22, 2000, the SRTM successfully collected data over 80 percent of the Earth's land surface for most of the area between latitudes 60 degrees north and 56 degrees south. The SRTM hardware included the Spaceborne Imaging Radar-C (SIR-C) and X-band Synthetic Aperture Radar (X-SAR) systems that had flown twice previously on other space shuttle missions. The SRTM data were collected with a technique known as interferometry that allows image data from dual radar antennas to be processed for the extraction of ground heights.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093087","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2009, Shuttle Radar Topography Mission (SRTM): U.S. Geological Survey Fact Sheet 2009-3087, 2 p., https://doi.org/10.3133/fs20093087.","productDescription":"2 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":118576,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3087.jpg"},{"id":13004,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3087/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a8fe4b07f02db6553c5","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535019,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97836,"text":"ds466 - 2009 - Bromide, Chloride, and Sulfate Concentrations, and Specific Conductance, Lake Texoma, Texas and Oklahoma, 2007-08","interactions":[],"lastModifiedDate":"2016-08-22T12:51:55","indexId":"ds466","displayToPublicDate":"2009-09-19T00:00:00","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":"466","title":"Bromide, Chloride, and Sulfate Concentrations, and Specific Conductance, Lake Texoma, Texas and Oklahoma, 2007-08","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the City of Dallas Water Utilities Division, collected water-quality data from 11 sites on Lake Texoma, a reservoir on the Texas-Oklahoma border, during April 2007-September 2008. At 10 of the sites, physical properties (depth, specific conductance, pH, temperature, dissolved oxygen, and alkalinity) were measured and samples were collected for analysis of selected dissolved constituents (bromide, calcium, magnesium, potassium, sodium, carbonate, bicarbonate, chloride, and sulfate); at one site, only physical properties were measured. The primary constituent of interest was bromide. Bromate can form when ozone is used to disinfect raw water containing bromide, and bromate is a suspected human carcinogen. Chloride and sulfate were of secondary interest. Only the analytical results for bromide, chloride, sulfate, and measured specific conductance are discussed in this report. Median dissolved bromide concentrations ranged from 0.28 to 0.60 milligrams per liter. The largest median dissolved bromide concentration (0.60 milligram per liter at site 11) was from the Red River arm of Lake Texoma. Dissolved bromide concentrations generally were larger in the Red River arm of Lake Texoma than in the Washita arm of the lake. Median dissolved chloride concentrations were largest in the Red River arm of Lake Texoma at site 11 (431 milligrams per liter) and smallest at site 8 (122 milligrams per liter) in the Washita arm. At site 11 in the Red River arm, the mean and median chloride concentrations exceeded the secondary maximum contaminant level of 300 milligrams per liter for chloride established by the 'Texas Surface Water Quality Standards' for surface-water bodies designated for the public water supply use. Median dissolved sulfate concentrations ranged from 182 milligrams per liter at site 4 in the Big Mineral arm to 246 milligrams per liter at site 11 in the Red River arm. None of the mean or median sulfate concentrations exceeded the secondary maximum contaminant level of 300 milligrams per liter. Median specific conductance measurements at sites ranged from 1,120 microsiemens per centimeter at site 8 in the Washita arm to 2,100 microsiemens per centimeter in the Red River arm. The spatial distribution of specific conductance in Lake Texoma was similar to that of bromide and chloride, with larger specific conductance values in the Red River arm compared to those in the Washita arm.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds466","collaboration":"Prepared in cooperation with the City of Dallas Water Utilities Division","usgsCitation":"Baldys, S., 2009, Bromide, Chloride, and Sulfate Concentrations, and Specific Conductance, Lake Texoma, Texas and Oklahoma, 2007-08: U.S. Geological Survey Data Series 466, vi, 30 p., https://doi.org/10.3133/ds466.","productDescription":"vi, 30 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-04-01","temporalEnd":"2008-09-30","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":118589,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_466.jpg"},{"id":13008,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/466/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.25,33.666666666666664 ], [ -97.25,34.25 ], [ -96.25,34.25 ], [ -96.25,33.666666666666664 ], [ -97.25,33.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fb312","contributors":{"authors":[{"text":"Baldys, Stanley sbaldys@usgs.gov","contributorId":3366,"corporation":false,"usgs":true,"family":"Baldys","given":"Stanley","email":"sbaldys@usgs.gov","affiliations":[],"preferred":true,"id":303303,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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