{"pageNumber":"151","pageRowStart":"3750","pageSize":"25","recordCount":16502,"records":[{"id":70048132,"text":"sir20135116 - 2013 - Sediment distribution and hydrologic conditions of the Potomac aquifer in Virginia and parts of Maryland and North Carolina","interactions":[],"lastModifiedDate":"2017-01-17T20:46:55","indexId":"sir20135116","displayToPublicDate":"2013-09-11T15:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5116","title":"Sediment distribution and hydrologic conditions of the Potomac aquifer in Virginia and parts of Maryland and North Carolina","docAbstract":"Sediments of the heavily used Potomac aquifer broadly contrast across major structural features of the Atlantic Coastal Plain Physiographic Province in eastern Virginia and adjacent parts of Maryland and North Carolina. Thicknesses and relative dominance of the highly interbedded fluvial sediments vary regionally. Vertical intervals in boreholes of coarse-grained sediment commonly targeted for completion of water-supply wells are thickest and most widespread across the central and southern parts of the Virginia Coastal Plain. Designated as the Norfolk arch depositional subarea, the entire sediment thickness here functions hydraulically as a single interconnected aquifer. By contrast, coarse-grained sediment intervals are thinner and less widespread across the northern part of the Virginia Coastal Plain and into southern Maryland, designated as the Salisbury embayment depositional subarea. Fine-grained intervals that are generally avoided for completion of water-supply wells are increasingly thick and widespread northward. Fine-grained intervals collectively as thick as several hundred feet comprise two continuous confining units that hydraulically separate three vertically spaced subaquifers. The subaquifers are continuous northward but merge southward into the single undivided Potomac aquifer. Lastly, far southeastern Virginia and northeastern North Carolina are designated as the Albemarle embayment depositional subarea, where both coarse- and fine-grained intervals are of only moderate thickness. The entire sediment thickness functions hydraulically as a single interconnected aquifer. A substantial hydrologic separation from overlying aquifers is imposed by the upper Cenomanian confining unit.\n\nPotomac aquifer sediments were deposited by a fluvial depositional complex spanning the Virginia Coastal Plain approximately 100 to 145 million years ago. Westward, persistently uplifted granite and gneiss source rocks sustained a supply of coarse-grained sand and gravel. Immature, high-gradient braided streams deposited longitudinal bars and channel fills across the Norfolk arch subarea. By contrast, across the Salisbury and Albemarle embayment subareas, mature, medium- to low-gradient meandering streams deposited medium- to coarse-grained channel fills and point bars segregated from fine-grained overbank deposits. The Virginia depositional complex merged northward across the Salisbury embayment subarea with another complex in Maryland. Here, additional sediments were received from schist source rocks that underwent three cycles of initial uplift and rapid erosion followed by crustal stability and erosional leveling.\n\nBecause of the predominance of coarse-grained sediments, transmissivity, hydraulic conductivity, and regional velocities of lateral flow through the Potomac aquifer are greatest across the Norfolk arch depositional subarea, but decrease progressively northward with increasingly fine-grained sediments. Confining units hydraulically separate the Potomac aquifer from overlying aquifers, as indicated by large vertical hydraulic gradients. By contrast, most of the Potomac aquifer internally functions hydraulically as a single interconnected aquifer, as indicated by uniformly small vertical gradients. Most fine-grained sediments within the aquifer do not hydraulically separate overlying and underlying coarse-grained sediments. Across the Salisbury embayment depositional subarea, however, hydraulic separation among the vertically spaced subaquifers is imposed by the intervening confining units.\n\nThe Potomac aquifer is the largest and most heavily used source of groundwater in the Virginia Coastal Plain. Water-level declines as great as 200 feet create the potential for saltwater intrusion. Conventional stratigraphic correlation has been generally ineffective at accurately characterizing complexly distributed fluvial sediments that compose the Potomac aquifer. Consequently, the aquifer’s internal hydraulic connectivity and overall hydrologic function have not been well understood. Water-supply planning and development efforts have been hampered, and interpretations of regulatory criteria for allowable water-level declines have been ambiguous.\n\nAn investigation undertaken during 2010–11 by the U.S. Geological Survey, in cooperation with the Virginia Department of Environmental Quality, provides a comprehensive regional description of the spatial distribution of Potomac aquifer sediments and their relation to hydrologic conditions. Altitudes and thicknesses of 2,725 vertical sediment intervals represent the spatial distribution of Potomac aquifer sediments in the Virginia Coastal Plain and adjacent parts of Maryland and North Carolina. Sediment intervals are designated as either dominantly coarse or fine grained and were determined by interpretation of geophysical logs and ancillary information from 456 boreholes. Sediment-interval and borehole summary statistical data indicate regional trends in sediment lithology and stratigraphic continuity, upon which three structurally based and hydrologically distinct sediment depositional subareas are designated. Broad patterns of sediment deposition over time are inferred from published sediment pollen-age data. Discrepancies in previously drawn hydrostratigraphic relations between southeastern Virginia and northeastern North Carolina are partly resolved based on borehole geophysical logs and a recently documented geologic map and corehole. A conceptual model theorizes the depositional history of the sediments and geologically accounts for their distribution. Documented pumping tests of the Potomac aquifer at 197 locations produced 336 values of transmissivity and 127 values of storativity. Based on effective aquifer thicknesses, 296 values of sediment hydraulic conductivity and 113 values of sediment specific storage are calculated. Vertical hydraulic gradients are calculated from 9,479 pairs of water levels measured between November 17, 1953, and October 4, 2011, in 129 closely spaced pairs of wells.\n\nBorehole sediment-interval and related data provide a means to achieve high yielding production wells in the Potomac aquifer by site-specific targeting of drilling operations toward water-bearing coarse-grained sand and gravel. Advance knowledge of the potential of different parts of the aquifer also aids in planning optimal groundwater-development areas. Depositional subareas further provide a possible context for resource management. Current (2013) regulatory limits on water-level declines are relative to top surfaces of subdivided upper, middle, and lower Potomac aquifers across the entire Virginia Coastal Plain, but have the potential to exceed the same limit relative to a single undivided Potomac aquifer. By contrast, designation of the sediments as a single aquifer in the Norfolk arch and Albemarle embayment subareas—and as a series of vertically spaced subaquifers and intervening confining units in the Salisbury embayment subarea—best reflects understanding of the Potomac aquifer and can avoid the potential for excessive water-level declines. Simulation modeling to evaluate effects of groundwater withdrawals could be designed similarly, including vertical discretization and (or) zonation of the Potomac aquifer based on depositional subareas and a geostatistical distribution of aquifer properties derived from borehole sediment-interval data. Further resource-management information needs extend beyond the developed part of the Potomac aquifer, particularly across the Northern Neck and Middle Peninsula where only the shallowest part of the aquifer is known, and include structural aspects such as faults, basement bedrock, and the Chesapeake Bay impact crater.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135116","collaboration":"Prepared in cooperation with the Virginia Department of Environmental Quality","usgsCitation":"McFarland, R.E., 2013, Sediment distribution and hydrologic conditions of the Potomac aquifer in Virginia and parts of Maryland and North Carolina: U.S. Geological Survey Scientific Investigations Report 2013-5116, Report: vi, 67 p.; 3 Attachments; 2 Plates: 24 x 36 inches and 36 x 40 inches, https://doi.org/10.3133/sir20135116.","productDescription":"Report: vi, 67 p.; 3 Attachments; 2 Plates: 24 x 36 inches and 36 x 40 inches","numberOfPages":"77","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":277490,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5116/tables/sir2013-5116_attachment2.xlsx"},{"id":277485,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5116/"},{"id":277484,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5116/pdf/sir2013-5116.pdf"},{"id":277486,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5116/tables/sir2013-5116_attachment3.xlsx"},{"id":277487,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5116/plates/sir2013-5116_plate1.pdf"},{"id":277488,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5116/plates/sir2013-5116_plate2.pdf"},{"id":277491,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5116/tables/sir2013-5116_attachment1.xls"},{"id":277492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135116.jpg"}],"scale":"500000","country":"United States","state":"Maryland, North Carolina, Virginia","otherGeospatial":"Potomac Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.6964,35.9713 ], [ -77.6964,38.7026 ], [ -75.26,38.7026 ], [ -75.26,35.9713 ], [ -77.6964,35.9713 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f251e4b0bc0bec0a02f3","contributors":{"authors":[{"text":"McFarland, Randolph E.","contributorId":93879,"corporation":false,"usgs":true,"family":"McFarland","given":"Randolph","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":483806,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048113,"text":"ofr20131163 - 2013 - Submergence Vulnerability Index development and application to Coastwide Reference Monitoring System Sites and Coastal Wetlands Planning, Protection and Restoration Act projects","interactions":[],"lastModifiedDate":"2013-09-10T19:40:45","indexId":"ofr20131163","displayToPublicDate":"2013-09-10T19:33:00","publicationYear":"2013","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":"2013-1163","title":"Submergence Vulnerability Index development and application to Coastwide Reference Monitoring System Sites and Coastal Wetlands Planning, Protection and Restoration Act projects","docAbstract":"Since its implementation in 2003, the Coastwide Reference Monitoring System (CRMS) in Louisiana has facilitated the creation of a comprehensive dataset that includes, but is not limited to, vegetation, hydrologic, and soil metrics on a coastwide scale. The primary impetus for this data collection is to assess land management activities, including restoration efforts, across the coast. The aim of the CRMS analytical team is to provide a method to synthesize this data to enable multiscaled evaluations of activities in Louisiana’s coastal wetlands. Several indices have been developed to facilitate data synthesis and interpretation, including a Floristic Quality Index, a Hydrologic Index, and a Landscape Index. This document details the development of the Submergence Vulnerability Index, which incorporates sediment-elevation data as well as hydrologic data to determine the vulnerability of a wetland based on its ability to keep pace with sea-level rise. The objective of this document is to provide Federal and State sponsors, project managers, planners, landowners, data users, and the rest of the coastal restoration community with the following: (1) data collection and model development methods for the sediment-elevation response variables, and (2) a description of how these response variables will be used to evaluate CWPPRA project and program effectiveness.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131163","collaboration":"Prepared in cooperation with the Coastal Wetlands Planning, Protection and Restoration Act","usgsCitation":"Stagg, C.L., Sharp, L., McGinnis, T., and Snedden, G., 2013, Submergence Vulnerability Index development and application to Coastwide Reference Monitoring System Sites and Coastal Wetlands Planning, Protection and Restoration Act projects: U.S. Geological Survey Open-File Report 2013-1163, iv, 12 p., https://doi.org/10.3133/ofr20131163.","productDescription":"iv, 12 p.","numberOfPages":"19","onlineOnly":"Y","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":277468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131163.gif"},{"id":277466,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1163/"},{"id":277467,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1163/pdf/OF13-1163.pdf"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.04,28.93 ], [ -94.04,30.99 ], [ -88.82,30.99 ], [ -88.82,28.93 ], [ -94.04,28.93 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5230315fe4b04b8e63a2060c","contributors":{"authors":[{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":483761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharp, Leigh A.","contributorId":43879,"corporation":false,"usgs":true,"family":"Sharp","given":"Leigh A.","affiliations":[],"preferred":false,"id":483763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGinnis, Thomas E.","contributorId":92959,"corporation":false,"usgs":true,"family":"McGinnis","given":"Thomas E.","affiliations":[],"preferred":false,"id":483764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snedden, Gregg A. 0000-0001-7821-3709","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":17338,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":483762,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048107,"text":"ofr20131174 - 2013 - Environmental consequences of the Retsof Salt Mine roof collapse","interactions":[],"lastModifiedDate":"2013-09-10T15:41:44","indexId":"ofr20131174","displayToPublicDate":"2013-09-10T15:05:00","publicationYear":"2013","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":"2013-1174","title":"Environmental consequences of the Retsof Salt Mine roof collapse","docAbstract":"In 1994, the largest salt mine in North America, which had been in operation for more than 100 years, catastrophically flooded when the mine ceiling collapsed. In addition to causing the loss of the mine and the mineral resources it provided, this event formed sinkholes, caused widespread subsidence to land, caused structures to crack and subside, and changed stream flow and erosion patterns. Subsequent flooding of the mine drained overlying aquifers, changed the groundwater salinity distribution (rendering domestic wells unusable), and allowed locally present natural gas to enter dwellings through water wells. Investigations including exploratory drilling, hydrologic and water-quality monitoring, geologic and geophysical studies, and numerical simulation of groundwater flow, salinity, and subsidence have been effective tools in understanding the environmental consequences of the mine collapse and informing decisions about management of those consequences for the future. Salt mines are generally dry, but are susceptible to leaks and can become flooded if groundwater from overlying aquifers or surface water finds a way downward into the mined cavity through hundreds of feet of rock. With its potential to flood the entire mine cavity, groundwater is a constant source of concern for mine operators. The problem is compounded by the viscous nature of salt and the fact that salt mines commonly lie beneath water-bearing aquifers. Salt (for example halite or potash) deforms and “creeps” into the mined openings over time spans that range from years to centuries. This movement of salt can destabilize the overlying rock layers and lead to their eventual sagging and collapse, creating permeable pathways for leakage of water and depressions or openings at land surface, such as sinkholes. Salt is also highly soluble in water; therefore, whenever water begins to flow into a salt mine, the channels through which it flows increase in diameter as the surrounding salt dissolves. Some mines leak at a slow rate for decades before a section of rock gives way, allowing what initially was a trickle of water to suddenly become a cascade and finally a torrent. Other mines become flooded and are destroyed when an errant drill hole punctures the mine ceiling, allowing water from overlying sources to flow into the mine. Either scenario can cause catastrophic flooding and permanent loss of the mine. Occasionally, a mine that has remained dry for a century will undergo a roof collapse that results in flooding.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131174","usgsCitation":"Yager, R.M., 2013, Environmental consequences of the Retsof Salt Mine roof collapse: U.S. Geological Survey Open-File Report 2013-1174, Report: iv, 10 p.; Block Diagram, https://doi.org/10.3133/ofr20131174.","productDescription":"Report: iv, 10 p.; Block Diagram","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":277461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131174.gif"},{"id":277458,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1174/"},{"id":277460,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1174/pdf/ofr2013-1174_fig2.pdf"},{"id":277459,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1174/pdf/ofr2013-1174.pdf"}],"country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.953148,42.626128 ], [ -77.953148,42.90137 ], [ -77.633171,42.90137 ], [ -77.633171,42.626128 ], [ -77.953148,42.626128 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5230315ce4b04b8e63a20600","contributors":{"authors":[{"text":"Yager, Richard M. 0000-0001-7725-1148 ryager@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-1148","contributorId":950,"corporation":false,"usgs":true,"family":"Yager","given":"Richard","email":"ryager@usgs.gov","middleInitial":"M.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483753,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048035,"text":"70048035 - 2013 - A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: using point and gridded FLUXNET and water balance ET","interactions":[],"lastModifiedDate":"2013-09-06T12:47:19","indexId":"70048035","displayToPublicDate":"2013-09-06T12:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: using point and gridded FLUXNET and water balance ET","docAbstract":"Remote sensing datasets are increasingly being used to provide spatially explicit large scale evapotranspiration (ET) estimates. Extensive evaluation of such large scale estimates is necessary before they can be used in various applications. In this study, two monthly MODIS 1 km ET products, MODIS global ET (MOD16) and Operational Simplified Surface Energy Balance (SSEBop) ET, are validated over the conterminous United States at both point and basin scales. Point scale validation was performed using eddy covariance FLUXNET ET (FLET) data (2001–2007) aggregated by year, land cover, elevation and climate zone. Basin scale validation was performed using annual gridded FLUXNET ET (GFET) and annual basin water balance ET (WBET) data aggregated by various hydrologic unit code (HUC) levels. Point scale validation using monthly data aggregated by years revealed that the MOD16 ET and SSEBop ET products showed overall comparable annual accuracies. For most land cover types, both ET products showed comparable results. However, SSEBop showed higher performance for Grassland and Forest classes; MOD16 showed improved performance in the Woody Savanna class. Accuracy of both the ET products was also found to be comparable over different climate zones. However, SSEBop data showed higher skill score across the climate zones covering the western United States. Validation results at different HUC levels over 2000–2011 using GFET as a reference indicate higher accuracies for MOD16 ET data. MOD16, SSEBop and GFET data were validated against WBET (2000–2009), and results indicate that both MOD16 and SSEBop ET matched the accuracies of the global GFET dataset at different HUC levels. Our results indicate that both MODIS ET products effectively reproduced basin scale ET response (up to 25% uncertainty) compared to CONUS-wide point-based ET response (up to 50–60% uncertainty) illustrating the reliability of MODIS ET products for basin-scale ET estimation. Results from this research would guide the additional parameter refinement required for the MOD16 and SSEBop algorithms in order to further improve their accuracy and performance for agro-hydrologic applications.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2013.07.013","usgsCitation":"Velpuri, N.M., Senay, G., Singh, R.K., Bohms, S., and Verdin, J.P., 2013, A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: using point and gridded FLUXNET and water balance ET: Remote Sensing of Environment, v. 139, p. 35-49, https://doi.org/10.1016/j.rse.2013.07.013.","productDescription":"15 p.","startPage":"35","endPage":"49","numberOfPages":"15","ipdsId":"IP-046110","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":277386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277383,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2013.07.013"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"139","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522aeb52e4b08fd0132e7911","contributors":{"authors":[{"text":"Velpuri, Naga M. 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":96183,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":483634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":66808,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel B.","affiliations":[],"preferred":false,"id":483633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Singh, Ramesh K. 0000-0002-8164-3483 rsingh@usgs.gov","orcid":"https://orcid.org/0000-0002-8164-3483","contributorId":3895,"corporation":false,"usgs":true,"family":"Singh","given":"Ramesh","email":"rsingh@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":483632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohms, Stefanie 0000-0002-2979-4655 sbohms@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":3148,"corporation":false,"usgs":true,"family":"Bohms","given":"Stefanie","email":"sbohms@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":483631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":483630,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048008,"text":"sir20135160 - 2013 - Numerical simulation of the groundwater-flow system in Chimacum Creek Basin and vicinity, Jefferson County, Washington","interactions":[],"lastModifiedDate":"2013-09-06T09:34:23","indexId":"sir20135160","displayToPublicDate":"2013-09-06T09:27:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5160","title":"Numerical simulation of the groundwater-flow system in Chimacum Creek Basin and vicinity, Jefferson County, Washington","docAbstract":"A groundwater-flow model was developed to evaluate potential future effects of growth and of water-management strategies on water resources in the Chimacum Creek Basin. The model covers an area of about 64 square miles (mi<sup>2</sup>) on the Olympic Peninsula in northeastern Jefferson County, Washington. The Chimacum Creek Basin drains an area of about 53 mi<sup>2</sup> and consists of Chimacum Creek and its tributary East Fork Chimacum Creek, which converge near the town of Chimacum and discharge to Port Townsend Bay near the town of Irondale. The topography of the model area consists of north-south oriented, narrow, regularly spaced parallel ridges and valleys that are characteristic of fluted glaciated surfaces. Thick accumulations of peat occur along the axis of East Fork Chimacum Creek and provide rich soils for agricultural use. The study area is underlain by a north-thickening sequence of unconsolidated glacial (till and outwash) and interglacial (fluvial and lacustrine) deposits, and sedimentary and igneous bedrock units that crop out along the margins and the western interior of the model area. Six hydrogeologic units in the model area form the basis of the groundwater-flow model. They are represented by model layers UC (upper confining), UA (upper aquifer), MC (middle confining), LA (lower aquifer), LC (lower confining), and OE (bedrock). Groundwater flow in the Chimacum Creek Basin and vicinity was simulated using the groundwater-flow model, MODFLOW-2005. The finite-difference model grid comprises 245 columns, 313 rows, and 6 layers. Each model cell has a horizontal dimension of 200 × 200 feet (ft). The thickness of model layers varies throughout the model area and ranges from 5 ft in the non-bedrock units to more than 2,400 ft in the bedrock. Groundwater flow was simulated for steady-state conditions, which were simulated for calibration of the model using average recharge, discharge, and water levels for the 180-month period October 1994–September 2009. The model as calibrated has a mean residual of 4.5 ft and a standard error on the mean of 2.1 ft for heads, and 0.64±0.42 cubic feet per second for streamflows. After the model was calibrated, a Current Conditions simulation was developed to reflect current (October 2008–September 2009) hydrologic conditions, with representative pumping, return flows, and “normal” recharge (based on National Weather Service average precipitation for 1981 to 2010). The Current Conditions simulation was used to estimate current flow quantities, and as a basis to compare other simulations.Simulated steady-state inflow to the model area from precipitation and secondary recharge, or “return flow,” was 16,347 acre-feet per year (acre-ft/yr); groundwater inflow from other basins to the north of the model boundary was 1,518 acre-ft/yr (net, 3,114 acre-ft/yr in and 1,596 acre-ft/yr out) and simulated inflow from lake leakage was 613 acre-ft/yr (net, 684 acre-ft/yr in and 71 acre-ft/yr out). Simulated outflow from the model primarily was through discharge to Puget Sound (10,022 acre-ft/yr), streams (5,424 acre-ft/yr ), springs and seeps (1,521 acre-ft/yr), and through withdrawals from wells (1,506 acre-ft/yr). Four simulations were formulated using the calibrated model—one to represent current conditions (2009, the end of the period used for calibration) and three to provide representative examples of how the model can be used to evaluate the relative effects of potential changes in groundwater withdrawals and consumptive use on groundwater levels and stream base flows: Probable Future Use, based on population projections; Full Beneficial Use, based on Jefferson County Public Utility District #1 water rights; Sanitary Sewer, based on eliminating septic return flows in the Urban Growth Area. Particle tracking was used to assess flowpaths from sources and to sinks, and the effects of the presence of irrigation wells and their depths was assessed.","language":"English","doi":"10.3133/sir20135160","collaboration":"Prepared in cooperation with Jefferson County and the Washington State Department of Ecology","usgsCitation":"Jones, J.L., Johnson, K.H., and Frans, L.M., 2013, Numerical simulation of the groundwater-flow system in Chimacum Creek Basin and vicinity, Jefferson County, Washington: U.S. Geological Survey Scientific Investigations Report 2013-5160, vii, 79 p., https://doi.org/10.3133/sir20135160.","productDescription":"vii, 79 p.","numberOfPages":"86","ipdsId":"IP-046166","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":277358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/SIR20135160.PNG"},{"id":277329,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5160/"},{"id":277357,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5160/pdf/sir20135160.pdf"}],"country":"United States","state":"Washington","county":"Jefferson County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.0696,46.9432 ], [ -123.0696,48.5235 ], [ -121.5553,48.5235 ], [ -121.5553,46.9432 ], [ -123.0696,46.9432 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522aeb6ae4b08fd0132e794d","contributors":{"authors":[{"text":"Jones, Joseph L. jljones@usgs.gov","contributorId":3492,"corporation":false,"usgs":true,"family":"Jones","given":"Joseph","email":"jljones@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Kenneth H. johnson@usgs.gov","contributorId":3103,"corporation":false,"usgs":true,"family":"Johnson","given":"Kenneth","email":"johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frans, Lonna M. 0000-0002-3217-1862 lmfrans@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-1862","contributorId":1493,"corporation":false,"usgs":true,"family":"Frans","given":"Lonna","email":"lmfrans@usgs.gov","middleInitial":"M.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483584,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048015,"text":"70048015 - 2013 - Evaluation of internal loading and water level changes: implications for phosphorus, algal production, and nuisance blooms in Kabetogama Lake, Voyageurs National Park, Minnesota","interactions":[],"lastModifiedDate":"2013-09-06T09:19:16","indexId":"70048015","displayToPublicDate":"2013-09-06T09:14:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of internal loading and water level changes: implications for phosphorus, algal production, and nuisance blooms in Kabetogama Lake, Voyageurs National Park, Minnesota","docAbstract":"Hydrologic manipulations have the potential to exacerbate or remediate eutrophication in productive reservoirs. Dam operations at Kabetogama Lake, Minnesota, were modified in 2000 to restore a more natural water regime and improve water quality. The US Geological Survey and National Park Service evaluated nutrient, algae, and nuisance bloom data in relation to changes in Kabetogama Lake water levels. Comparison of the results of this study to previous studies indicates that chlorophyll a concentrations have decreased, whereas total phosphorus (TP) concentrations have not changed significantly since 2000. Water and sediment quality data were collected at Voyageurs National Park during 2008–2009 to assess internal phosphorus loading and determine whether loading is a factor affecting TP concentrations and algal productivity. Kabetogama Lake often was mixed vertically, except for occasional stratification measured in certain areas, including Lost Bay in the northeastern part of Kabetogama Lake. Stratification, higher bottom water and sediment nutrient concentrations than in other parts of the lake, and phosphorus release rates estimated from sediment core incubations indicated that Lost Bay is one of several areas that may be contributing to internal loading. Internal loading of TP is a concern because increased TP may cause excessive algal growth including potentially toxic cyanobacteria.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Lake and Reservoir Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2013.831148","usgsCitation":"Christensen, V.G., Maki, R., and Kiesling, R.L., 2013, Evaluation of internal loading and water level changes: implications for phosphorus, algal production, and nuisance blooms in Kabetogama Lake, Voyageurs National Park, Minnesota: Lake and Reservoir Management, v. 29, no. 3, p. 202-215, https://doi.org/10.1080/10402381.2013.831148.","productDescription":"14 p.","startPage":"202","endPage":"215","numberOfPages":"14","ipdsId":"IP-043981","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":473552,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10402381.2013.831148","text":"Publisher Index Page"},{"id":277356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277355,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/10402381.2013.831148"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park;Kabetogama Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.128616,48.402901 ], [ -93.128616,48.53329 ], [ -92.785409,48.53329 ], [ -92.785409,48.402901 ], [ -93.128616,48.402901 ] ] ] } } ] }","volume":"29","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522aeb68e4b08fd0132e793d","contributors":{"authors":[{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maki, Ryan P.","contributorId":100111,"corporation":false,"usgs":true,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":483602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483600,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047997,"text":"ofr20131171 - 2013 - Evaluation of the groundwater flow model for southern Utah and Goshen Valleys, Utah, updated to conditions through 2011, with new projections and groundwater management simulations","interactions":[],"lastModifiedDate":"2017-04-10T15:27:37","indexId":"ofr20131171","displayToPublicDate":"2013-09-05T14:38:53","publicationYear":"2013","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":"2013-1171","title":"Evaluation of the groundwater flow model for southern Utah and Goshen Valleys, Utah, updated to conditions through 2011, with new projections and groundwater management simulations","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Southern Utah Valley Municipal Water Association, updated an existing USGS model of southern Utah and Goshen Valleys for hydrologic and climatic conditions from 1991 to 2011 and used the model for projection and groundwater management simulations. All model files used in the transient model were updated to be compatible with MODFLOW-2005 and with the additional stress periods. The well and recharge files had the most extensive changes. Discharge to pumping wells in southern Utah and Goshen Valleys was estimated and simulated on an annual basis from 1991 to 2011. Recharge estimates for 1991 to 2011 were included in the updated model by using precipitation, streamflow, canal diversions, and irrigation groundwater withdrawals for each year. The model was evaluated to determine how well it simulates groundwater conditions during recent increased withdrawals and drought, and to determine if the model is adequate for use in future planning. In southern Utah Valley, the magnitude and direction of annual water-level fluctuation simulated by the updated model reasonably match measured water-level changes, but they do not simulate as much decline as was measured in some locations from 2000 to 2002. Both the rapid increase in groundwater withdrawals and the total groundwater withdrawals in southern Utah Valley during this period exceed the variations and magnitudes simulated during the 1949 to 1990 calibration period. It is possible that hydraulic properties may be locally incorrect or that changes, such as land use or irrigation diversions, occurred that are not simulated. In the northern part of Goshen Valley, simulated water-level changes reasonably match measured changes. Farther south, however, simulated declines are much less than measured declines. Land-use changes indicate that groundwater withdrawals in Goshen Valley are possibly greater than estimated and simulated. It is also possible that irrigation methods, amount of diversions, or other factors have changed that are not simulated or that aquifer properties are incorrectly simulated. The model can be used for projections about the effects of future groundwater withdrawals and managed aquifer recharge in southern Utah Valley, but rapid changes in withdrawals and increasing withdrawals dramatically may reduce the accuracy of the predicted water-level and groundwater-budget changes. The model should not be used for projections in Goshen Valley until additional withdrawal and discharge data are collected and the model is recalibrated if necessary. Model projections indicate large drawdowns of up to 400 feet and complete cessation of natural discharge in some areas with potential future increases in water use. Simulated managed aquifer recharge counteracts those effects. Groundwater management examples indicate that drawdown could be less, and discharge at selected springs could be greater, with optimized groundwater withdrawals and managed aquifer recharge than without optimization. Recalibration to more recent stresses and seasonal stress periods, and collection of new withdrawal, stream, land-use, and discharge data could improve the model fit to water-level changes and the accuracy of predictions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131171","collaboration":"Prepared in cooperation with the Southern Utah Valley Municipal Water Association","usgsCitation":"Brooks, L.E., 2013, Evaluation of the groundwater flow model for southern Utah and Goshen Valleys, Utah, updated to conditions through 2011, with new projections and groundwater management simulations: U.S. Geological Survey Open-File Report 2013-1171, vi, 35 p., https://doi.org/10.3133/ofr20131171.","productDescription":"vi, 35 p.","numberOfPages":"46","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":277324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131171.jpg"},{"id":277322,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1171/"},{"id":277323,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1171/pdf/ofr2013-1171.pdf"}],"country":"United States","state":"Utah","otherGeospatial":"Goshen Valley, Southern Utah Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112,39.5 ], [ -112,40.6 ], [ -111.16,40.6 ], [ -111.16,39.5 ], [ -112,39.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522999dfe4b0f33a3916774c","contributors":{"authors":[{"text":"Brooks, Lynette E. 0000-0002-9074-0939 lebrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-9074-0939","contributorId":2718,"corporation":false,"usgs":true,"family":"Brooks","given":"Lynette","email":"lebrooks@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483550,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047993,"text":"sir20135162 - 2013 - Application of the Precipitation-Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States","interactions":[],"lastModifiedDate":"2017-01-17T20:53:05","indexId":"sir20135162","displayToPublicDate":"2013-09-05T12:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5162","title":"Application of the Precipitation-Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States","docAbstract":"A hydrologic model of the Apalachicola–Chattahoochee–Flint River Basin (ACFB) has been developed as part of a U.S. Geological Survey (USGS) National Climate Change and Wildlife Science Center effort to provide integrated science that helps resource managers understand the effect of climate change on a range of ecosystem responses. The hydrologic model was developed as part of the Southeast Regional Assessment Project using the Precipitation Runoff Modeling System (PRMS), a deterministic, distributed-parameter, process-based system that simulates the effects of precipitation, temperature, and land use on basin hydrology.\n\nThe ACFB PRMS model simulates streamflow throughout the approximately 50,700 square-kilometer basin on a daily time step for the period 1950–99 using gridded climate forcings of air temperature and precipitation, and parameters derived from spatial data layers of altitude, land cover, soils, surficial geology, depression storage (small water bodies), and data from 56 USGS streamgages. Measured streamflow data from 35 of the 56 USGS streamgages were used to calibrate and evaluate simulated basin streamflow; the remaining gage locations were used for model delineation only. The model matched measured daily streamflow at 31 of the 35 calibration gages with Nash-Sutcliffe Model Efficiency Index (NS) greater than 0.6. Streamflow data for some calibration gages were augmented for regulation and water use effects to represent more natural flow volumes. Time-static parameters describing land cover limited the ability of the simulation to match historical runoff in the more developed subbasins.\n\nOverall, the PRMS simulation of the ACFB provides a good representation of basin hydrology on annual and monthly time steps. Calibration subbasins were analyzed by separating the 35 subbasins into five classes based on physiography, land use, and stream type (tributary or mainstem). The lowest NS values were rarely below 0.6, whereas the median NS for all five classes was within 0.74 to 0.96 for annual mean streamflow, 0.89 to 0.98 for mean monthly streamflow, and 0.82 to 0.98 for monthly mean streamflow. The median bias for all five classes was within –4.3 to 0.8 percent for annual mean streamflow, –6.3 to 0.5 percent for mean monthly streamflow, and –9.3 to 1.3 percent for monthly mean streamflow. The NS results combined with the percent bias results indicated a good to very good streamflow volume simulation for all subbasins.\n\nThis simulation of the ACFB provides a foundation for future modeling and interpretive studies. Streamflow and other components of the hydrologic cycle simulated by PRMS can be used to inform other types of simulations; water-temperature, hydrodynamic, and ecosystem-dynamics simulations are three examples. In addition, possible future hydrologic conditions could be studied using this model in combination with land cover projections and downscaled general circulation model results.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135162","usgsCitation":"LaFontaine, J.H., Hay, L.E., Viger, R., Markstrom, S.L., Regan, R., Elliott, C.M., and Jones, J., 2013, Application of the Precipitation-Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States: U.S. Geological Survey Scientific Investigations Report 2013-5162, ix, 118 p., https://doi.org/10.3133/sir20135162.","productDescription":"ix, 118 p.","numberOfPages":"132","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":277319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135162.gif"},{"id":277318,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5162/pdf/sir2013-5162.pdf"},{"id":277317,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5162/"}],"country":"United States","state":"Alabama, Florida, Georgia","otherGeospatial":"Apalachicola-Chattahoochee-Flint River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.0336,29.6993 ], [ -86.0336,34.9286 ], [ -83.115,34.9286 ], [ -83.115,29.6993 ], [ -86.0336,29.6993 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522999d0e4b0f33a39167748","contributors":{"authors":[{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":483524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Viger, Roland J.","contributorId":97528,"corporation":false,"usgs":true,"family":"Viger","given":"Roland J.","affiliations":[],"preferred":false,"id":483530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Markstrom, Steve L.","contributorId":50073,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steve","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":483528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regan, R. Steve 0000-0003-4803-8596","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":58736,"corporation":false,"usgs":true,"family":"Regan","given":"R. Steve","affiliations":[],"preferred":false,"id":483529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":483527,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":483525,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047992,"text":"sim3232 - 2013 - Flood-inundation maps for the Wabash River at Terre Haute, Indiana","interactions":[],"lastModifiedDate":"2013-09-05T13:12:04","indexId":"sim3232","displayToPublicDate":"2013-09-05T12:44:46","publicationYear":"2013","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":"3232","title":"Flood-inundation maps for the Wabash River at Terre Haute, Indiana","docAbstract":"Digital flood-inundation maps for a 6.3-mi reach of the Wabash River from 0.1 mi downstream of the Interstate 70 bridge to 1.1 miles upstream of the Route 63 bridge, Terre Haute, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent of flooding corresponding to select water levels (stages) at the USGS streamgage Wabash River at Terre Haute (station number 03341500). Current conditions at the USGS streamgage may be obtained on the Internet from the USGS National Water Information System (http://waterdata.usgs.gov/in/nwis/uv/?site_no=03341500&agency_cd=USGS&p\"). In addition, the same data are provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system (http://water.weather.gov/ahps//). Within this system, the NWS forecasts flood hydrographs for the Wabash River at Terre Haute that may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.  In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relation at the Wabash River at the Terre Haute streamgage. The hydraulic model was then used to compute 22 water-surface profiles for flood stages at 1-ft interval referenced to the streamgage datum and ranging from bank-full to approximately the highest recorded water level at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from Light Detection and Ranging (LiDAR) data having a 0.37-ft vertical accuracy and a 1.02-ft horizontal accuracy) to delineate the area flooded at each water level.  The availability of these maps along with Internet information regarding the current stage from the USGS streamgage and forecasted stream stages from the NWS can provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for post flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3232","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Lombard, P., 2013, Flood-inundation maps for the Wabash River at Terre Haute, Indiana: U.S. Geological Survey Scientific Investigations Map 3232, Report: v, 7 p.; Low Resolution and High Resolution Map Sheets; Downloads Directory, https://doi.org/10.3133/sim3232.","productDescription":"Report: v, 7 p.; Low Resolution and High Resolution Map Sheets; Downloads Directory","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":277316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3232.gif"},{"id":277312,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3232/"},{"id":277314,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3232/pdf/pdf-mapsheets"},{"id":277313,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3232/pdf/sim3232.pdf"},{"id":277315,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3232/Downloads"}],"country":"United States","state":"Indiana","city":"Terre Haute","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.41,39.40 ], [ -87.41,39.53 ], [ -87.27,39.53 ], [ -87.27,39.40 ], [ -87.41,39.40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522999dfe4b0f33a39167750","contributors":{"authors":[{"text":"Lombard, Pamela J. 0000-0002-0983-1906","orcid":"https://orcid.org/0000-0002-0983-1906","contributorId":23899,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela J.","affiliations":[],"preferred":false,"id":483523,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048707,"text":"70048707 - 2013 - Crusts: biological","interactions":[],"lastModifiedDate":"2014-01-10T10:05:43","indexId":"70048707","displayToPublicDate":"2013-09-01T13:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Crusts: biological","docAbstract":"Biological soil crusts, a community of cyanobacteria, lichens, mosses, and fungi, are an essential part of dryland ecosystems. They are critical in the stabilization of soils, protecting them from wind and water erosion. Similarly, these soil surface communities also stabilized soils on early Earth, allowing vascular plants to establish. They contribute nitrogen and carbon to otherwise relatively infertile dryland soils, and have a strong influence on hydrologic cycles. Their presence can also influence vascular plant establishment and nutrition.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reference Module in Earth Systems and Environmental Sciences","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-409548-9.05131-9","usgsCitation":"Belnap, J., 2013, Crusts: biological, chap. <i>of</i> Reference Module in Earth Systems and Environmental Sciences, https://doi.org/10.1016/B978-0-12-409548-9.05131-9.","onlineOnly":"Y","ipdsId":"IP-045245","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":280811,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278590,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/B978-0-12-409548-9.05131-9"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd538fe4b0b290850f5364","contributors":{"editors":[{"text":"Elias, Scott A.","contributorId":111874,"corporation":false,"usgs":true,"family":"Elias","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":509622,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":485464,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046525,"text":"70046525 - 2013 - Increases in flood magnitudes in California under warming climates","interactions":[],"lastModifiedDate":"2013-11-07T14:55:30","indexId":"70046525","displayToPublicDate":"2013-09-01T13:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Increases in flood magnitudes in California under warming climates","docAbstract":"Downscaled and hydrologically modeled projections from an ensemble of 16 Global Climate Models suggest that flooding may become more intense on the western slopes of the Sierra Nevada mountains, the primary source for California’s managed water system. By the end of the 21st century, all 16 climate projections for the high greenhouse-gas emission SRES A2 scenario yield larger floods with return periods ranging 2–50 years for both the Northern Sierra Nevada and Southern Sierra Nevada, regardless of the direction of change in mean precipitation. By end of century, discharges from the Northern Sierra Nevada with 50-year return periods increase by 30–90% depending on climate model, compared to historical values. Corresponding flood flows from the Southern Sierra increase by 50–100%. The increases in simulated 50 year flood flows are larger (at 95% confidence level) than would be expected due to natural variability by as early as 2035 for the SRES A2 scenario.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.07.042","usgsCitation":"Das, T., Maurer, E., Pierce, D.W., Dettinger, M., and Cayah, D.R., 2013, Increases in flood magnitudes in California under warming climates: Journal of Hydrology, v. 501, p. 101-110, https://doi.org/10.1016/j.jhydrol.2013.07.042.","productDescription":"10 p.","startPage":"101","endPage":"110","numberOfPages":"10","ipdsId":"IP-046373","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":278942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276757,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2013.07.042"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.0,34.0 ], [ -124.0,42.0 ], [ -118.0,42.0 ], [ -118.0,34.0 ], [ -124.0,34.0 ] ] ] } } ] }","volume":"501","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527cc490e4b0850ea050ce84","contributors":{"authors":[{"text":"Das, Tapash","contributorId":49227,"corporation":false,"usgs":true,"family":"Das","given":"Tapash","affiliations":[],"preferred":false,"id":479766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maurer, Edwin P.","contributorId":13129,"corporation":false,"usgs":true,"family":"Maurer","given":"Edwin P.","affiliations":[],"preferred":false,"id":479763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, David W.","contributorId":26953,"corporation":false,"usgs":true,"family":"Pierce","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":479764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dettinger, Michael D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":31743,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","affiliations":[],"preferred":false,"id":479765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cayah, Daniel R.","contributorId":74286,"corporation":false,"usgs":true,"family":"Cayah","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":479767,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70143959,"text":"70143959 - 2013 - Wetlands serve as natural sources for improvement of stream ecosystem health in regions affected by acid deposition","interactions":[],"lastModifiedDate":"2015-03-24T09:15:39","indexId":"70143959","displayToPublicDate":"2013-09-01T10:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Wetlands serve as natural sources for improvement of stream ecosystem health in regions affected by acid deposition","docAbstract":"<p>For over 40 years, acid deposition has been recognized as a serious international environmental problem, but efforts to restore acidified streams and biota have had limited success. The need to better understand the effects of different sources of acidity on streams has become more pressing with the recent increases in surface water organic acids, or 'brownification' associated with climate change and decreased inorganic acid deposition. Here, we carried out a large scale multi-seasonal investigation in the Adirondacks, one of the most acid-impacted regions in the United States, to assess how acid stream producers respond to local and watershed influences and whether these influences can be used in acidification remediation. We explored the pathways of wetland control on aluminum chemistry and diatom taxonomic and functional composition. We demonstrate that streams with larger watershed wetlands have higher organic content, lower concentrations of acidic anions, and lower ratios of inorganic to organic monomeric aluminum, all beneficial for diatom biodiversity and guilds producing high biomass. Although brownification has been viewed as a form of pollution, our results indicate that it may be a stimulating force for biofilm producers with potentially positive consequences for higher trophic levels. Our research also reveals that the mechanism of watershed control of local stream diatom biodiversity through wetland export of organic matter is universal in running waters, operating not only in hard streams, as previously reported, but also in acid streams. Our findings that the negative impacts of acid deposition on Adirondack stream chemistry and biota can be mitigated by wetlands have important implications for biodiversity conservation and stream ecosystem management. Future acidification research should focus on the potential for wetlands to improve stream ecosystem health in acid-impacted regions and their direct use in stream restoration, for example, through stream rechanneling or wetland construction in appropriate hydrologic settings.</p>","language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/gcb.12265","collaboration":"New York State Energy Research and Development Authority; USGS","usgsCitation":"Pound, K., Lawrence, G.B., and Passy, S.I., 2013, Wetlands serve as natural sources for improvement of stream ecosystem health in regions affected by acid deposition: Global Change Biology, v. 19, no. 9, p. 2720-2728, https://doi.org/10.1111/gcb.12265.","productDescription":"9 p.","startPage":"2720","endPage":"2728","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062334","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":298887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"9","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-14","publicationStatus":"PW","scienceBaseUri":"55128abce4b02e76d75bd62d","contributors":{"authors":[{"text":"Pound, Katrina L","contributorId":139826,"corporation":false,"usgs":false,"family":"Pound","given":"Katrina L","affiliations":[{"id":13288,"text":"Graduate student, Dept of Biology, Univ of Texas at Arlington","active":true,"usgs":false}],"preferred":false,"id":543128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Passy, Sophia I.","contributorId":49067,"corporation":false,"usgs":true,"family":"Passy","given":"Sophia","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":543130,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70119596,"text":"70119596 - 2013 - Temporal and spatial variability of groundwater recharge on Jeju Island, Korea","interactions":[],"lastModifiedDate":"2017-01-11T15:54:29","indexId":"70119596","displayToPublicDate":"2013-09-01T09:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial variability of groundwater recharge on Jeju Island, Korea","docAbstract":"<p>Estimates of groundwater recharge spatial and temporal variability are essential inputs to groundwater flow models that are used to test groundwater availability under different management and climate conditions. In this study, a soil water balance analysis was conducted to estimate groundwater recharge on the island of Jeju, Korea, for baseline, drought, and climate-land use change scenarios. The Soil Water Balance (SWB) computer code was used to compute groundwater recharge and other water balance components at a daily time step using a 100 m grid cell size for an 18-year baseline scenario (1992–2009). A 10-year drought scenario was selected from historical precipitation trends (1961–2009), while the climate-land use change scenario was developed using late 21st century climate projections and a change in urban land use. Mean annual recharge under the baseline, drought, and climate-land use scenarios was estimated at 884, 591, and 788 mm, respectively. Under the baseline scenario, mean annual recharge was within the range of previous estimates (825–959 mm) and only slightly lower than the mean of 902 mm. As a fraction of mean annual rainfall, mean annual recharge was computed as only 42% and less than previous estimates of 44–48%. The maximum historical reported annual pumping rate of 241 × 10<sup>6</sup> m<sup>3</sup> equates to 15% of baseline recharge, which is within the range of 14–16% computed from earlier studies. The model does not include a mechanism to account for additional sources of groundwater recharge, such as fog drip, irrigation, and artificial recharge, and may also overestimate evapotranspiration losses. Consequently, the results presented in this study represent a conservative estimate of total recharge.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.08.015","usgsCitation":"Mair, A., Hagedorn, B., Tillery, S., El-Kadi, A.I., Westenbroek, S.M., Ha, K., and Koh, G., 2013, Temporal and spatial variability of groundwater recharge on Jeju Island, Korea: Journal of Hydrology, v. 501, p. 213-226, https://doi.org/10.1016/j.jhydrol.2013.08.015.","productDescription":"14 p.","startPage":"213","endPage":"226","numberOfPages":"14","ipdsId":"IP-049366","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":291899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Korea","state":"Jeju","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 126.1472,33.1764 ], [ 126.1472,33.5679 ], [ 126.9743,33.5679 ], [ 126.9743,33.1764 ], [ 126.1472,33.1764 ] ] ] } } ] }","volume":"501","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e5e445e4b0b6c2798afb04","contributors":{"authors":[{"text":"Mair, Alan","contributorId":104822,"corporation":false,"usgs":true,"family":"Mair","given":"Alan","affiliations":[],"preferred":false,"id":497734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagedorn, Benjamin","contributorId":74683,"corporation":false,"usgs":true,"family":"Hagedorn","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":497731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillery, Suzanne","contributorId":84274,"corporation":false,"usgs":true,"family":"Tillery","given":"Suzanne","email":"","affiliations":[],"preferred":false,"id":497732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"El-Kadi, Aly I.","contributorId":41702,"corporation":false,"usgs":true,"family":"El-Kadi","given":"Aly","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":497729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ha, Kyoochul","contributorId":19882,"corporation":false,"usgs":true,"family":"Ha","given":"Kyoochul","email":"","affiliations":[],"preferred":false,"id":497728,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koh, Gi-Won","contributorId":97826,"corporation":false,"usgs":true,"family":"Koh","given":"Gi-Won","email":"","affiliations":[],"preferred":false,"id":497733,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70045550,"text":"70045550 - 2013 - Representing the effects of alpine grassland vegetation cover on the simulation of soil thermal dynamics by ecosystem models applied to the Qinghai-Tibetan Plateau","interactions":[],"lastModifiedDate":"2014-01-08T10:27:59","indexId":"70045550","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Representing the effects of alpine grassland vegetation cover on the simulation of soil thermal dynamics by ecosystem models applied to the Qinghai-Tibetan Plateau","docAbstract":"Soil surface temperature is a critical boundary condition for the simulation of soil temperature by environmental models. It is influenced by atmospheric and soil conditions and by vegetation cover. In sophisticated land surface models, it is simulated iteratively by solving surface energy budget equations. In ecosystem, permafrost, and hydrology models, the consideration of soil surface temperature is generally simple. In this study, we developed a methodology for representing the effects of vegetation cover and atmospheric factors on the estimation of soil surface temperature for alpine grassland ecosystems on the Qinghai-Tibetan Plateau. Our approach integrated measurements from meteorological stations with simulations from a sophisticated land surface model to develop an equation set for estimating soil surface temperature. After implementing this equation set into an ecosystem model and evaluating the performance of the ecosystem model in simulating soil temperature at different depths in the soil profile, we applied the model to simulate interactions among vegetation cover, freeze-thaw cycles, and soil erosion to demonstrate potential applications made possible through the implementation of the methodology developed in this study. Results showed that (1) to properly estimate daily soil surface temperature, algorithms should use air temperature, downward solar radiation, and vegetation cover as independent variables; (2) the equation set developed in this study performed better than soil surface temperature algorithms used in other models; and (3) the ecosystem model performed well in simulating soil temperature throughout the soil profile using the equation set developed in this study. Our application of the model indicates that the representation in ecosystem models of the effects of vegetation cover on the simulation of soil thermal dynamics has the potential to substantially improve our understanding of the vulnerability of alpine grassland ecosystems to changes in climate and grazing regimes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrg.20093","usgsCitation":"Yi, S., Li, N., Xiang, B., Wang, X., Ye, B., and McGuire, A., 2013, Representing the effects of alpine grassland vegetation cover on the simulation of soil thermal dynamics by ecosystem models applied to the Qinghai-Tibetan Plateau: Journal of Geophysical Research: Biogeosciences, v. 118, no. 3, p. 1186-1199, https://doi.org/10.1002/jgrg.20093.","productDescription":"14 p.","startPage":"1186","endPage":"1199","numberOfPages":"14","ipdsId":"IP-042137","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":280703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280702,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrg.20093"}],"country":"China","state":"Qinghai;Tibet","otherGeospatial":"Qinghai-tibetan Plateau","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 75.0,20.0 ], [ 75.0,40.0 ], [ 105.0,40.0 ], [ 105.0,20.0 ], [ 75.0,20.0 ] ] ] } } ] }","volume":"118","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-09-03","publicationStatus":"PW","scienceBaseUri":"53cd707ae4b0b2908510711d","contributors":{"authors":[{"text":"Yi, S.","contributorId":33936,"corporation":false,"usgs":false,"family":"Yi","given":"S.","email":"","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":477827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, N.","contributorId":64551,"corporation":false,"usgs":true,"family":"Li","given":"N.","email":"","affiliations":[],"preferred":false,"id":477829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xiang, B.","contributorId":15515,"corporation":false,"usgs":true,"family":"Xiang","given":"B.","affiliations":[],"preferred":false,"id":477824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, X.","contributorId":22076,"corporation":false,"usgs":true,"family":"Wang","given":"X.","email":"","affiliations":[],"preferred":false,"id":477826,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ye, B.","contributorId":55329,"corporation":false,"usgs":true,"family":"Ye","given":"B.","email":"","affiliations":[],"preferred":false,"id":477828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":477825,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70188508,"text":"70188508 - 2013 - Reconstructing vegetation response to altered hydrology and its use for restoration, Arthur R. Marshall Loxahatchee National Wildlife Refuge, Florida","interactions":[],"lastModifiedDate":"2017-06-23T16:23:12","indexId":"70188508","displayToPublicDate":"2013-08-30T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructing vegetation response to altered hydrology and its use for restoration, Arthur R. Marshall Loxahatchee National Wildlife Refuge, Florida","docAbstract":"<p><span>We present reconstructed hydrologic and vegetation trends of the last three centuries across the Arthur R. Marshall Loxahatchee National Wildlife Refuge, Florida in order to understand the effects of 20th century water management. We analyzed pollen assemblages from cores at marsh sites along three transects to document vegetation and infer hydroperiod and water depth both before and after human alteration of Everglades hydrology. In the northern and central part of the Refuge, late Holocene water levels were higher and hydroperiods longer than the last 100&nbsp;years. Post-1950 was a time of several different water management strategies. Pollen assemblages indicate drier conditions post-1950 in the northern and central parts of the Refuge, whereas sites in the southern Refuge are wetter and vegetation turnover is higher. Throughout the Refuge, </span><i class=\"EmphasisTypeItalic \">Sagittaria</i><span> pollen declines with the onset of water management, and may indicate a loss of greater variation in hydroperiods across years and water depths between seasons. Paleoecological evidence provides clear estimates of the vegetation response to hydrologic change under specific hydrologic regimes.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-013-0469-y","usgsCitation":"Bernhardt, C.E., Brandt, L.A., Landacre, B.D., Marot, M.E., and Willard, D.A., 2013, Reconstructing vegetation response to altered hydrology and its use for restoration, Arthur R. Marshall Loxahatchee National Wildlife Refuge, Florida: Wetlands, v. 33, no. 6, p. 1139-1149, https://doi.org/10.1007/s13157-013-0469-y.","productDescription":"11 p. ","startPage":"1139","endPage":"1149","ipdsId":"IP-045901","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Arthur R. Marshall Loxahatchee National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.46936035156249,\n              26.347575438494673\n            ],\n            [\n              -80.46936035156249,\n              26.701452590314368\n            ],\n            [\n              -80.16998291015625,\n              26.701452590314368\n            ],\n            [\n              -80.16998291015625,\n              26.347575438494673\n            ],\n            [\n              -80.46936035156249,\n              26.347575438494673\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-15","publicationStatus":"PW","scienceBaseUri":"59424b3ce4b0764e6c65dc65","contributors":{"authors":[{"text":"Bernhardt, Christopher E. 0000-0003-0082-4731 cbernhardt@usgs.gov","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":2131,"corporation":false,"usgs":true,"family":"Bernhardt","given":"Christopher","email":"cbernhardt@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":698080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Laura A.","contributorId":146646,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":698082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landacre, Bryan D. 0000-0002-0523-360X blandacre@usgs.gov","orcid":"https://orcid.org/0000-0002-0523-360X","contributorId":2722,"corporation":false,"usgs":true,"family":"Landacre","given":"Bryan","email":"blandacre@usgs.gov","middleInitial":"D.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":698079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marot, Marci E. 0000-0003-0504-315X mmarot@usgs.gov","orcid":"https://orcid.org/0000-0003-0504-315X","contributorId":2078,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","email":"mmarot@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":698209,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":698081,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047848,"text":"sir20135148 - 2013 - Analysis and inundation mapping of the April-May 2011 flood at selected locations in northern and eastern Arkansas and southern Missouri","interactions":[],"lastModifiedDate":"2013-08-27T15:32:05","indexId":"sir20135148","displayToPublicDate":"2013-08-27T15:21:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5148","title":"Analysis and inundation mapping of the April-May 2011 flood at selected locations in northern and eastern Arkansas and southern Missouri","docAbstract":"Precipitation that fell from April 19 through May 3, 2011, resulted in widespread flooding across northern and eastern Arkansas and southern Missouri. The first storm produced a total of approximately 16 inches of precipitation over an 8-day period, and the following storms produced as much as 12 inches of precipitation over a 2-day period. Moderate to major flooding occurred quickly along many streams within Arkansas and Missouri (including the Black, Cache, Illinois, St. Francis, and White Rivers) at levels that had not been seen since the historic 1927 floods. The 2011 flood claimed an estimated 21 lives in Arkansas and Missouri, and damage caused by the flooding resulted in a Federal Disaster Declaration for 59 Arkansas counties that received Federal or State assistance. To further the goal of documenting and understanding floods, the U.S. Geological Survey, in cooperation with the Federal Emergency Management Agency, the U.S. Army Corps of Engineers–Little Rock and Memphis Districts, and Arkansas Natural Resources Commission, conducted a study to summarize meteorological and hydrological conditions before the flood; computed flood-peak magnitudes for 39 streamgages; estimated annual exceedance probabilities for 37 of those streamgages; determined the joint probabilities for 11 streamgages paired to the Mississippi River at Helena, Arkansas, which refers to the probability that locations on two paired streams simultaneously experience floods of a magnitude greater than or equal to a given annual exceedance probability; collected high-water marks; constructed flood-peak inundation maps showing maximum flood extent and water depths; and summarized flood damages and effects.\n\nFor the period of record used in this report, peak-of-record stage occurred at 24 of the 39 streamgages, and peak-of-record streamflow occurred at 13 of the 30 streamgages where streamflow was determined. Annual exceedance probabilities were estimated to be less than 0.5 percent at three streamgages. The joint probability values for streamgages paired with the Mississippi River at Helena, Ark., streamgage indicate a low probability of concurrent flooding with the paired streamgages. The inundation maps show the flood-peak extent and water depth of flooding for two stream reaches on the White River and two on the Black River; the vicinities of the communities of Holly Grove and Cotton Plant, Ark.; a reach of the White River that includes the crossing of Interstate 40 north of De Valls Bluff, Ark.; and the Tailwaters of Beaver Dam near Eureka Springs, Ark., Table Rock Dam near Branson, Mo., and Bull Shoals Dam near Flippin, Ark. The data and inundation maps can be used for flood response, recovery, and planning efforts by Federal, State, and local agencies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135148","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency, the U.S. Army Corps of Engineers--Little Rock and Memphis Districts, and the Arkansas Natural Resources Commission","usgsCitation":"Westerman, D.A., Merriman, K., De Lanois, J.L., and Berenbrock, C., 2013, Analysis and inundation mapping of the April-May 2011 flood at selected locations in northern and eastern Arkansas and southern Missouri: U.S. Geological Survey Scientific Investigations Report 2013-5148, Report: vii, 44 p.; Downloads Directory, https://doi.org/10.3133/sir20135148.","productDescription":"Report: vii, 44 p.; Downloads Directory","onlineOnly":"Y","temporalStart":"2011-04-19","temporalEnd":"2011-05-03","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":277054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135148.PNG"},{"id":277051,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5148/"},{"id":277052,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5148/pdf/sir2013-5148.pdf"},{"id":277053,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5148/Downloads/"}],"country":"United States","state":"Arkansas;Missouri","otherGeospatial":"Arkansas River Basin;St. Francis River Basin;White River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.6179,34.7823 ], [ -94.6179,37.2905 ], [ -89.6448,37.2905 ], [ -89.6448,34.7823 ], [ -94.6179,34.7823 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521dcbc6e4b051c878dc355d","contributors":{"authors":[{"text":"Westerman, Drew A. 0000-0002-8522-776X dawester@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-776X","contributorId":4526,"corporation":false,"usgs":true,"family":"Westerman","given":"Drew","email":"dawester@usgs.gov","middleInitial":"A.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merriman, Katherine R.","contributorId":34418,"corporation":false,"usgs":true,"family":"Merriman","given":"Katherine R.","affiliations":[],"preferred":false,"id":483140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Lanois, Jeanne L. jdelanoi@usgs.gov","contributorId":4672,"corporation":false,"usgs":true,"family":"De Lanois","given":"Jeanne","email":"jdelanoi@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":483138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berenbrock, Charles","contributorId":30598,"corporation":false,"usgs":true,"family":"Berenbrock","given":"Charles","email":"","affiliations":[],"preferred":false,"id":483139,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047841,"text":"ofr20131179 - 2013 - Reconnaissance investigation of the placer gold deposits in the Zarkashan Area of Interest, Ghazni Province, Afghanistan","interactions":[],"lastModifiedDate":"2013-08-27T09:20:54","indexId":"ofr20131179","displayToPublicDate":"2013-08-27T08:40:00","publicationYear":"2013","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":"2013-1179","title":"Reconnaissance investigation of the placer gold deposits in the Zarkashan Area of Interest, Ghazni Province, Afghanistan","docAbstract":"This study is a reconnaissance investigation of the placer gold deposits in the Zarkashan Area of Interest (AOI) in Ghazni Province, Afghanistan. Detailed investigations of the Zarkashan gold deposits were conducted by Soviet and Afghan geologists in the 1960s and 1970s, prior to the development of satellite-based remote-sensing platforms and new methods of geomorphic mapping. The purpose of this study was to integrate new mapping techniques with previously collected concentration and borehole sampling data and geomorphologic interpretations to reassess the placer gold deposits in the Zarkashan AOI. A methodology combining the collection and analysis of historical sampling data, digital database development, hydrologic analysis, and geomorphic modeling was used. The analysis led to the reinterpretation of four gold-bearing seams along the Zarkashan River, and the calculation of an estimated gold reserve of approximately 3,000 kilograms (kg). This estimate is approximately 1,500 kg greater than the Soviet estimate. The result differs in large part due to the reinterpretation of the seams based on a much lower cutoff grade of 100 mg/m<sup>3</sup>. Because cutoff grade is dependent in part on the price of gold, the sevenfold increase in the price of gold since the undertaking of the Soviet investigation warranted our re-evaluation of their 500 mg/m<sup>3</sup> cutoff grade.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131179","collaboration":"Prepared in cooperation with the Afghan Geological Survey under the auspices of the U.S. Department of Defense Task Force for Business and Stability Operations; USGS Afghanistan Project Product No. 185","usgsCitation":"Malpeli, K., Chirico, P., and McLoughlin, I.H., 2013, Reconnaissance investigation of the placer gold deposits in the Zarkashan Area of Interest, Ghazni Province, Afghanistan: U.S. Geological Survey Open-File Report 2013-1179, iv, 12 p.; 4 Figures: 40 x 26 inches, https://doi.org/10.3133/ofr20131179.","productDescription":"iv, 12 p.; 4 Figures: 40 x 26 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":277034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131179.gif"},{"id":277029,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1179/"},{"id":277028,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1179/pdf/of2013-1179.pdf"},{"id":277030,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1179/pdf/of2013-1179_figure1.pdf"},{"id":277031,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1179/pdf/of2013-1179_figure2.pdf"},{"id":277032,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1179/pdf/of2013-1179_figure3.pdf"},{"id":277033,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1179/pdf/of2013-1179_figure4.pdf"}],"country":"Afghanistan","otherGeospatial":"Ghazni Province","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 67.0,32.583333 ], [ 67.0,33.333333 ], [ 68.5,33.333333 ], [ 68.5,32.583333 ], [ 67.0,32.583333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a64066e4b0a6d69588260d","contributors":{"authors":[{"text":"Malpeli, Katherine C.","contributorId":55106,"corporation":false,"usgs":true,"family":"Malpeli","given":"Katherine C.","affiliations":[],"preferred":false,"id":483113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chirico, Peter G.","contributorId":27086,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter G.","affiliations":[],"preferred":false,"id":483112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McLoughlin, Isabel H.","contributorId":63295,"corporation":false,"usgs":true,"family":"McLoughlin","given":"Isabel","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":483114,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047766,"text":"sir20135089 - 2013 - Method to support Total Maximum Daily Load development using hydrologic alteration as a surrogate to address aquatic life impairment in New Jersey streams","interactions":[],"lastModifiedDate":"2018-11-01T12:06:18","indexId":"sir20135089","displayToPublicDate":"2013-08-22T13:36:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5089","title":"Method to support Total Maximum Daily Load development using hydrologic alteration as a surrogate to address aquatic life impairment in New Jersey streams","docAbstract":"<p>More than 300 ambient monitoring sites in New Jersey have been identified by the New Jersey Department of Environmental Protection (NJDEP) in its integrated water-quality monitoring and assessment report (that is, the 305(b) Report on general water quality and 303(d) List of waters that do not support their designated uses) as being impaired with respect to aquatic life; however, no unambiguous stressors (for example, nutrients or bacteria) have been identified. Because of the indeterminate nature of the broad range of possible impairments, surrogate measures that more holistically encapsulate the full suite of potential environmental stressors need to be developed. Streamflow alteration resulting from anthropogenic changes in the landscape is one such surrogate. For example, increases in impervious surface cover (ISC) commonly cause increases in surface runoff, which can result in “flashy” hydrology and other changes in the stream corridor that are associated with streamflow alteration. The NJDEP has indicated that methodologies to support a hydrologically based Total Maximum Daily Load (hydro-TMDL) need to be developed in order to identify hydrologic targets that represent a minimal percent deviation from a baseline condition (“minimally altered”) as a surrogate measure to meet criteria in support of designated&nbsp;uses.</p><p>The primary objective of this study was to develop an applicable hydro-TMDL approach to address aquatic-life impairments associated with hydrologic alteration for New Jersey streams. The U.S. Geological Survey, in cooperation with the NJDEP, identified 51 non- to moderately impaired gaged streamflow sites in the Raritan River Basin for evaluation. Quantile regression (QR) analysis was used to compare flow and precipitation records and identify baseline hydrographs at 37 of these sites. At sites without an appropriately long period of record (POR) or where a baseline hydrograph could not be identified with QR, a rainfall-runoff model was used to develop simulated baseline hydrographs. The hydro-TMDL approach provided an opportunity to evaluate proportional differences in flow attributes between observed and baseline hydrographs and to develop complementary flow-ecology response relations at a subset of Raritan River Basin sites where available flow and ecological information&nbsp;overlapped.</p><p>The New Jersey Stream Classification Tool (NJSCT) was used to determine the stream class of all 51 study sites by using either an observed or a simulated baseline hydrograph. Two New Jersey stream classes (A and C) were evaluated to help characterize the unique hydrology of the Raritan River Basin. In general, class C streams (1.99–40.7&nbsp;square miles) had smaller drainage areas than class A streams (0.7–785&nbsp;square miles). Many of the non-impaired and moderately impaired class A and C streams in the Raritan River Basin were found to have significant hydrologic alteration as indicated by numerous flow values that fell outside the established 25th-to-75th- and the more conservative 40th-to-60th-percentile boundaries. However, percent deviations for the class C streams (defined as moderately stable streams with moderately high base-flow contributions) were, in general, much larger than those for the class A streams (defined as semiflashy streams characterized by moderately low base flow). The greater deviations for class C streams in the hydro-TMDL assessments likely resulted from comparisons that were based solely on simulated baseline hydrographs, which were developed without considering any anthropogenic influences in the basin. In contrast, comparisons for many of the class A streams were made by using an observed baseline, which already includes an implicit level of ISC and other human influences on the&nbsp;landscape.</p><p>By using the hydro-TMDL approach, numerous flow deviations were identified that were indicative of streams that are highly regulated by reservoirs or dams, streams that are affected by increasing amounts of surface runoff resulting from ISC, and streams that are affected by water abstraction (that is, groundwater or surface-water withdrawals used for agricultural and human supply). Eight of the reservoir- and (or) dam-affected sites showed flow deviations that are indicative of flow-managed systems. For example, indices that account for the timing and magnitude of high and low flows were often found to fall outside the 25th-to-75th-percentile range. In general, at regulated class C streams, annual summer low flows are arriving later and tend to be lower, and high flows are arriving earlier with higher magnitudes of longer duration. At class A streams, high and low flows are arriving later with an overall increase in discharge with respect to the prereservoir baseline&nbsp;conditions.</p><p>The drainage basins of eight of the study sites had large values of ISC (&gt;10 percent), most likely as a result of expanding urban development. In general, the magnitude and frequency of high flows at class A and C sites with high ISC are increasing and were commonly found to fall outside the 25th-to-75th-percentile range. Additionally, magnitudes of low flows are becoming lower and, although the timing of high flows was highly variable, low-flow events appeared to be arriving earlier than would be expected under normal low-flow conditions. Three of the study sites appeared to be affected by hydrologic changes associated with water abstraction. At these sites, the timing of flows appeared to be altered. For example, low flows tended to arrive earlier and high flows arrived later at two of the three sites. Additionally, the magnitude and duration of low flows were commonly less than the 25th-percentile value and the duration of high flows appeared to&nbsp;increase.</p><p>A reduced set of hydrologic and ecological variables was used to develop univariate and multivariate flow-ecology response models for the aquatic-invertebrate assemblage. Many hydrologic variables accounting for the duration, magnitude, frequency, and timing of flows were significantly correlated with ecological response. Multiple linear regression (MLR) models were developed to provide a more holistic evaluation of the combined effects of hydrologic alteration and to identify models with two or three hydrologic variables that account for a significant proportion of the variability in invertebrate-assemblage condition as represented by assemblage metric scores. MLR models, derived on the basis of hydrologic attributes, accounted for 35 to 75 percent of the variability in assemblage&nbsp;condition.</p><p>The hydro-TMDL method developed herein for non- to moderately impaired Raritan River Basin streams utilizes a “surrogate” approach in place of the traditional “pollutant of concern” approach commonly used for TMDL development. Managers can use the results obtained by using the hydro-TMDL method to offset the effects of impervious-surface runoff and altered streamflow and to implement measures designed to achieve the necessary load reductions for the “pollutant of concern” (that is, percentage deviations of stream-class-specific flow-index values outside the established 25th-to-75th-percentile range). In this case, such deviations could represent all or a subset of the altered flow indices that prevent the stream from meeting designated aquatic-life criteria. This hydro-TMDL uses a reference, or attainment stream approach for developing the TMDL endpoint. That is, either observed or simulated baseline hydrographs were selected as appropriate reference conditions on the basis of results of QR analysis and watershed modeling procedures, respectively. For any stream in the Raritan River Basin evaluated as part of this study, the hydro-TMDL can be expressed as the greatest amount of deviation in flow a stream can exhibit without violating the stream’s designated aquatic-life criteria. Use of this surrogate approach is appropriate because flows that fall outside the established percentile ranges are ultimately a function of many anthropogenic modifications of the landscape, including the amount of stormwater runoff generated from impervious surfaces within a given basin, the presence of manmade structures designed to retain or divert water, the magnitude of ground- and surface-water abstraction, and the presence of water-supply processes implemented to support human needs. In addition, the stream-type-specific flow indices used as the basis for the hydro-TMDL approach are useful for representing the hydrologic conditions of class A and C streams/basins because they incorporate the full spectrum of flow conditions (very low to very high) that occur in the stream system over a long period of time, as well as those flow properties that change as a result of seasonal&nbsp;variation.</p><p>Ultimately, an estimate of the maximum percentage flow reduction that could be allowed will be needed to address the aquatic-life impairments in many of the study streams in the Raritan River Basin and will be necessary for identifying appropriate target flow conditions for hydro-TMDL implementation. As described in this report, a target flow value equal to the 25th- or 75th-percentile flow rate could be selected as the point useful for setting specific hydrologic targets. This selection, however, is a management decision that could vary depending on the designated use of the stream or other regulatory factors (for example, water-supply protection, trout production, antidegradation policies, or special protection designations). In New Jersey streams where no unambiguous stressors can be identified, State monitoring agencies, such as the NJDEP, could choose to require the implementation of a flow-based TMDL that not only supports designated uses, but meets the regulatory requirements under the Clean Water Act, and represents a balance between water supply intended to meet human needs and the conservation of ecosystem&nbsp;integrity.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135089","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Kennen, J., Riskin, M.L., Reilly, P.A., and Colarullo, S.J., 2013, Method to support Total Maximum Daily Load development using hydrologic alteration as a surrogate to address aquatic life impairment in New Jersey streams: U.S. Geological Survey Scientific Investigations Report 2013-5089, viii, 86 p., https://doi.org/10.3133/sir20135089.","productDescription":"viii, 86 p.","numberOfPages":"98","onlineOnly":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":276906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135089.png"},{"id":276904,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5089/","text":"Index Page","linkFileType":{"id":5,"text":"html"}},{"id":276905,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5089/pdf/sir2013-5089.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"New Jersey","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.25,\n              40\n            ],\n            [\n              -74.25,\n              40\n            ],\n            [\n              -74.25,\n              41\n            ],\n            [\n              -75.25,\n              41\n            ],\n            [\n              -75.25,\n              40\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521724dae4b043bae8d2e5a9","contributors":{"authors":[{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riskin, Melissa L. 0000-0001-6499-3775 mriskin@usgs.gov","orcid":"https://orcid.org/0000-0001-6499-3775","contributorId":654,"corporation":false,"usgs":true,"family":"Riskin","given":"Melissa","email":"mriskin@usgs.gov","middleInitial":"L.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":482928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colarullo, Susan J. 0000-0003-4504-0068 colarull@usgs.gov","orcid":"https://orcid.org/0000-0003-4504-0068","contributorId":652,"corporation":false,"usgs":true,"family":"Colarullo","given":"Susan","email":"colarull@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482926,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047757,"text":"70047757 - 2013 - Hybrid modeling of spatial continuity for application to numerical inverse problems","interactions":[],"lastModifiedDate":"2013-08-22T10:02:03","indexId":"70047757","displayToPublicDate":"2013-08-22T09:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Hybrid modeling of spatial continuity for application to numerical inverse problems","docAbstract":"A novel two-step modeling approach is presented to obtain optimal starting values and geostatistical constraints for numerical inverse problems otherwise characterized by spatially-limited field data. First, a type of unsupervised neural network, called the self-organizing map (SOM), is trained to recognize nonlinear relations among environmental variables (covariates) occurring at various scales. The values of these variables are then estimated at random locations across the model domain by iterative minimization of SOM topographic error vectors. Cross-validation is used to ensure unbiasedness and compute prediction uncertainty for select subsets of the data. Second, analytical functions are fit to experimental variograms derived from original plus resampled SOM estimates producing model variograms. Sequential Gaussian simulation is used to evaluate spatial uncertainty associated with the analytical functions and probable range for constraining variables. The hybrid modeling of spatial continuity is demonstrated using spatially-limited hydrologic measurements at different scales in Brazil: (1) physical soil properties (sand, silt, clay, hydraulic conductivity) in the 42 km<sup>2</sup> Vargem de Caldas basin; (2) well yield and electrical conductivity of groundwater in the 132 km<sup>2</sup> fractured crystalline aquifer; and (3) specific capacity, hydraulic head, and major ions in a 100,000 km<sup>2</sup> transboundary fractured-basalt aquifer. These results illustrate the benefits of exploiting nonlinear relations among sparse and disparate data sets for modeling spatial continuity, but the actual application of these spatial data to improve numerical inverse modeling requires testing.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Modelling and Software","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2013.01.009","usgsCitation":"Friedel, M.J., and Iwashita, F., 2013, Hybrid modeling of spatial continuity for application to numerical inverse problems: Environmental Modelling and Software, v. 43, p. 60-79, https://doi.org/10.1016/j.envsoft.2013.01.009.","productDescription":"20 p.","startPage":"60","endPage":"79","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":276885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276884,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envsoft.2013.01.009"}],"volume":"43","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521724dae4b043bae8d2e5a5","contributors":{"authors":[{"text":"Friedel, Michael J. 0000-0002-5060-3999 mfriedel@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":595,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"mfriedel@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":482903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwashita, Fabio","contributorId":72287,"corporation":false,"usgs":true,"family":"Iwashita","given":"Fabio","email":"","affiliations":[],"preferred":false,"id":482904,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047697,"text":"ofr20131190 - 2013 - Knowledge and understanding of dissolved solids in the Rio Grande–San Acacia, New Mexico, to Fort Quitman, Texas, and plan for future studies and monitoring","interactions":[],"lastModifiedDate":"2013-08-19T15:16:39","indexId":"ofr20131190","displayToPublicDate":"2013-08-19T15:02:00","publicationYear":"2013","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":"2013-1190","title":"Knowledge and understanding of dissolved solids in the Rio Grande–San Acacia, New Mexico, to Fort Quitman, Texas, and plan for future studies and monitoring","docAbstract":"Availability of water in the Rio Grande Basin has long been a primary concern for water-resource managers. The transport and delivery of water in the basin have been engineered by using reservoirs, irrigation canals and drains, and transmountain-water diversions to meet the agricultural, residential, and industrial demand. In contrast, despite the widespread recognition of critical water-quality problems, there have been minimal management efforts to improve water quality in the Rio Grande. Of greatest concern is salinization (concentration of dissolved solids approaching 1,000 mg/L), a water-quality problem that has been recognized and researched for more than 100 years because of the potential to limit both agricultural and municipal use. To address the issue of salinization, water-resource managers need to have a clear conceptual understanding of the sources of salinity and the factors that control storage and transport, identify critical knowledge gaps in this conceptual understanding, and develop a research plan to address these gaps and develop a salinity management program. In 2009, the U.S. Geological Survey (USGS) in cooperation with the U.S. Army Corps of Engineers (USACE), New Mexico Interstate Stream Commission (NMISC), and New Mexico Environment Department (NMED) initiated a project to summarize the current state of knowledge regarding the transport of dissolved solids in the Rio Grande between San Acacia, New Mexico, and Fort Quitman, Texas. The primary objective is to provide hydrologic information pertaining to the spatial and temporal variability present in the concentrations and loads of dissolved solids in the Rio Grande, the source-specific budget for the mass of dissolved solids transported along the Rio Grande, and the locations at which dissolved solids enter the Rio Grande. Dissolved-solids concentration data provide a good indicator of the general quality of surface water and provide information on the factors governing salinization within the Rio Grande study area. The pattern in dissolved-solids concentrations along the Rio Grande is one of increasing concentration with increasing distance downstream from Elephant Butte and Caballo Reservoirs. The concentration of dissolved solids in the Rio Grande doubles (approximately 500 to 1,000 mg/L) from below Elephant Butte Reservoir to El Paso and increases by more than a factor of 5 (approximately 500 to 3,200 mg/L) from below Elephant Butte Reservoir to Fort Quitman. Marked increases in the concentration of dissolved solids commonly coincide with contributions from agricultural drains, wastewater-treatment plants, regional groundwater, and upward-flowing saline groundwater.  The greatest factor, from the surface-water system, in controlling dissolved solids in the Rio Grande is the amount of water that is being transported or stored. Annual variation in streamflow is influenced primarily by climate (precipitation and evaporation) and management of Elephant Butte and Caballo Reservoirs (water storage and release cycles). Seasonal variation in streamflow within the Rio Grande study area is generally categorized generally as irrigation (March–September) and nonirrigation (October–February) seasons; with streamflow in the Rio Grande is highest during the irrigation season and lowest during the nonirrigation season. Dissolved-solids loads during the irrigation season decrease between Leasburg and Fort Quitman primarily because of irrigation diversions and losses to the underlying alluvial aquifer. Conversely, dissolved-solids loads during the nonirrigation season increase between Caballo Dam and Fort Quitman primarily because of the inflow of dissolved solids from agricultural drains, wastewater-treatment plants, and groundwater with elevated concentrations of dissolved solids.  Many studies have mass-balance budgets that account for the mass of dissolved solids transported along the Rio Grande. Results from mass-balance budgets developed for dissolved solids indicated that (1) the inflow of saline groundwater, inflow of regional groundwater, and chemical reactions between mineral phases are the primary sources controlling dissolved solids in the Rio Grande, and (2) groundwater pumping and mineral precipitation are causing a net storage of dissolved solids in the Leasburg to El Paso and El Paso to Fort Quitman reaches of the Rio Grande.  Looking forward, multiple water-resource managers from State and local agencies in New Mexico and Texas and Federal agencies formed the Rio Grande Salinity Management Coalition with the goal to reduce the amount of dissolved solids that are transported and stored in the Rio Grande study area. The recommendations for additional monitoring to assist the coalition are as follows:\n-Monitoring: Couple water-quality and streamflow monitoring in the Rio Grande and agricultural drains; perform groundwater-seepage investigations in the Rio Grande and major agricultural drains; nonitor groundwater water-quality conditions in the Mesilla and Hueco Basins.\n-Focused Hydrogeology Studies at Inflow Sources: Map dissolved-solids concentrations in the Rio Grande and underlying alluvial aquifer; perform hydrogeologic characterization of subsurface areas containing unusually high concentrations of dissolved solids. \n-Modeling of Dissolved Solids: Develop models to simulate the transport and storage of dissolved solids in both surface-water and groundwater systems.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131190","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, New Mexico Interstate Stream Commission, and New Mexico Environment Department","usgsCitation":"Moyer, D., Anderholm, S.K., Hogan, J., Phillips, F.M., Hibbs, B.J., Witcher, J.C., Matherne, A.M., and Falk, S.E., 2013, Knowledge and understanding of dissolved solids in the Rio Grande–San Acacia, New Mexico, to Fort Quitman, Texas, and plan for future studies and monitoring: U.S. Geological Survey Open-File Report 2013-1190, vii, 55 p., https://doi.org/10.3133/ofr20131190.","productDescription":"vii, 55 p.","numberOfPages":"67","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":276776,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1190/"},{"id":276777,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1190/pdf/ofr2013-1190.pdf"},{"id":276779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131190.gif"}],"country":"Mexico;United States","state":"New Mexico;Texas","otherGeospatial":"Rio Grande Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108,31 ], [ -108,34.15 ], [ -105.15,34.15 ], [ -105.15,31 ], [ -108,31 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52136df9e4b0b08f4461988f","contributors":{"authors":[{"text":"Moyer, Douglas 0000-0001-6330-478X dlmoyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6330-478X","contributorId":2670,"corporation":false,"usgs":true,"family":"Moyer","given":"Douglas","email":"dlmoyer@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":482745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderholm, Scott K.","contributorId":94270,"corporation":false,"usgs":true,"family":"Anderholm","given":"Scott","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":482749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hogan, James F.","contributorId":30533,"corporation":false,"usgs":true,"family":"Hogan","given":"James F.","affiliations":[],"preferred":false,"id":482746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Fred M.","contributorId":57957,"corporation":false,"usgs":true,"family":"Phillips","given":"Fred","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":482748,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hibbs, Barry J.","contributorId":55327,"corporation":false,"usgs":true,"family":"Hibbs","given":"Barry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":482747,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Witcher, James C.","contributorId":99456,"corporation":false,"usgs":true,"family":"Witcher","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":482750,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482743,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Falk, Sarah E. sefalk@usgs.gov","contributorId":1056,"corporation":false,"usgs":true,"family":"Falk","given":"Sarah","email":"sefalk@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":482744,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70047674,"text":"ofr20131157 - 2013 - Land change in the Central Corn Belt Plains Ecoregion and hydrologic consequences in developed areas: 1939-2000","interactions":[],"lastModifiedDate":"2013-10-30T13:22:12","indexId":"ofr20131157","displayToPublicDate":"2013-08-19T09:51:00","publicationYear":"2013","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":"2013-1157","title":"Land change in the Central Corn Belt Plains Ecoregion and hydrologic consequences in developed areas: 1939-2000","docAbstract":"This report emphasizes the importance of a multi-disciplinary understanding of how land use and land cover can affect regional hydrology by collaboratively investigating how increases in developed land area may affect stream discharge by evaluating land-cover change from 1939 to 2000, urban housing density data from 1940 to 2010, and changes in annual peak streamflow from water years 1945 to 2009. The results and methods crosscut two mission areas of the U.S. Geological Survey (Climate and Land Use, Water) and can be used to better assess developed land change and hydrologic consequences, which can be used to better assess future management and mitigation strategies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131157","usgsCitation":"Karstensen, K., Shaver, D., Alexander, R., Over, T., and Soong, D.T., 2013, Land change in the Central Corn Belt Plains Ecoregion and hydrologic consequences in developed areas: 1939-2000: U.S. Geological Survey Open-File Report 2013-1157, vi, 21 p., https://doi.org/10.3133/ofr20131157.","productDescription":"vi, 21 p.","numberOfPages":"32","onlineOnly":"Y","temporalStart":"1939-01-01","temporalEnd":"2000-12-31","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":276739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131157.png"},{"id":276737,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1157/"},{"id":276738,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1157/pdf/ofr2013-1157.pdf"}],"country":"United States","state":"Illinois;Indiana;Wisconsin","otherGeospatial":"Central Corn Belt Plains Ecoregion","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.0,38.0 ], [ -92.0,43.0 ], [ -86.0,43.0 ], [ -86.0,38.0 ], [ -92.0,38.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52136df9e4b0b08f44619893","contributors":{"authors":[{"text":"Karstensen, Krista","contributorId":97758,"corporation":false,"usgs":true,"family":"Karstensen","given":"Krista","affiliations":[],"preferred":false,"id":482693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaver, David","contributorId":24265,"corporation":false,"usgs":true,"family":"Shaver","given":"David","affiliations":[],"preferred":false,"id":482691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Randal","contributorId":14285,"corporation":false,"usgs":true,"family":"Alexander","given":"Randal","email":"","affiliations":[],"preferred":false,"id":482690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Over, Thomas","contributorId":31294,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","affiliations":[],"preferred":false,"id":482692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soong, David T. dsoong@usgs.gov","contributorId":2230,"corporation":false,"usgs":true,"family":"Soong","given":"David","email":"dsoong@usgs.gov","middleInitial":"T.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":482689,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047596,"text":"sir20135139 - 2013 - Relation between organic-wastewater compounds, groundwater geochemistry, and well characteristics for selected wells in Lansing, Michigan","interactions":[],"lastModifiedDate":"2013-08-13T13:04:22","indexId":"sir20135139","displayToPublicDate":"2013-08-13T12:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5139","title":"Relation between organic-wastewater compounds, groundwater geochemistry, and well characteristics for selected wells in Lansing, Michigan","docAbstract":"In 2010, groundwater from 20 Lansing Board of Water and Light (BWL) production wells was tested for 69 organic-wastewater compounds (OWCs). The OWCs detected in one-half of the sampled wells are widely used in industrial and environmental applications and commonly occur in many wastes and stormwater. To identify factors that contribute to the occurrence of these constituents in BWL wells, the U.S. Geological Survey (USGS) interpreted the results of these analyses and related detections of OWCs to local characteristics and groundwater geochemistry.\n\nAnalysis of groundwater-chemistry data collected by the BWL during routine monitoring from 1969 to 2011 indicates that the geochemistry of the BWL wells has changed over time, with the major difference being an increase in sodium and chloride. The concentrations of sodium and chloride were positively correlated to frequency of OWC detections. The BWL wells studied are all completed in the Saginaw aquifer, which consists of water-bearing sandstones of Pennsylvanian age. The Saginaw aquifer is underlain by the Parma-Bayport aquifer, and overlain by the Glacial aquifer. Two possible sources of sodium and chloride were evaluated: basin brines by way of the Parma-Bayport aquifer, and surficial sources by way of the Glacial aquifer. To determine if water from the underlying aquifer had influenced well-water geochemistry over time, the total dissolved solids concentration and changes in major ion concentrations were examined with respect to well depth, age, and pumping rate. To address a possible surficial source of sodium and chloride, 25 well, aquifer, or hydrologic characteristics, and 2 groundwater geochemistry variables that might influence whether, or the rate at which, water from the land surface could reach each well were compared to OWC detections and well chemistry.\n\nThe statistical tests performed during this study, using available variables, indicated that reduced time of travel of water from the land surface to the well opening was significantly correlated with detections of OWCs. No specific well or aquifer characteristic was correlated with OWC detections; however, wells with detections tended to have less modeled confining material thickness (as simulated in the regional groundwater flow model), which is an estimate of the amount of clay or shale between the Glacial and Saginaw aquifers. Additional analyses and collection of other data would be required to more conclusively identify the source and to determine the potential vulnerability of other wells because each BWL well may have a somewhat unique set of characteristics that governs its response to pumping. Therefore, it is possible that a relevant explanatory variable was not included in this analysis. The current patterns of geochemistry, and the relation between these patterns and volume of pumpage for the BWL wells, indicates other wells may be susceptible to OWCs in the future.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135139","collaboration":"Prepared in cooperation with the Tri-County Regional Planning Commission","usgsCitation":"Haack, S.K., and Luukkonen, C.L., 2013, Relation between organic-wastewater compounds, groundwater geochemistry, and well characteristics for selected wells in Lansing, Michigan: U.S. Geological Survey Scientific Investigations Report 2013-5139, v, 36 p., https://doi.org/10.3133/sir20135139.","productDescription":"v, 36 p.","numberOfPages":"46","onlineOnly":"Y","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":276575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135139.png"},{"id":276573,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5139/"},{"id":276574,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5139/pdf/sir2013-5139_web.pdf"}],"country":"United States","state":"Michigan","county":"Clinton County;Eaton County;Ingham County","city":"Lansing","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.701274,42.647483 ], [ -84.701274,42.76988 ], [ -84.417581,42.76988 ], [ -84.417581,42.647483 ], [ -84.701274,42.647483 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520b81efe4b0d6ca46067db8","contributors":{"authors":[{"text":"Haack, Sheridan K. skhaack@usgs.gov","contributorId":1982,"corporation":false,"usgs":true,"family":"Haack","given":"Sheridan","email":"skhaack@usgs.gov","middleInitial":"K.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luukkonen, Carol L. clluukko@usgs.gov","contributorId":3489,"corporation":false,"usgs":true,"family":"Luukkonen","given":"Carol","email":"clluukko@usgs.gov","middleInitial":"L.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482479,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047542,"text":"sir20135119 - 2013 - Simulated effects of proposed Arkansas Valley Conduit on hydrodynamics and water quality for projected demands through 2070, Pueblo Reservoir, southeastern Colorado","interactions":[],"lastModifiedDate":"2013-08-08T17:22:12","indexId":"sir20135119","displayToPublicDate":"2013-08-08T16:17:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5119","title":"Simulated effects of proposed Arkansas Valley Conduit on hydrodynamics and water quality for projected demands through 2070, Pueblo Reservoir, southeastern Colorado","docAbstract":"The purpose of the Arkansas Valley Conduit (AVC) is to deliver water for municipal and industrial use within the boundaries of the Southeastern Colorado Water Conservancy District. Water supplied through the AVC would serve two needs: (1) to supplement or replace existing poor-quality water to communities downstream from Pueblo Reservoir; and (2) to meet a portion of the AVC participants’ projected water demands through 2070. The Bureau of Reclamation (Reclamation) initiated an Environmental Impact Statement (EIS) to address the potential environmental consequences associated with constructing and operating the proposed AVC, entering into a conveyance contract for the Pueblo Dam north-south outlet works interconnect (Interconnect), and entering into a long-term excess capacity master contract (Master Contract).\n\nOperational changes, as a result of implementation of proposed EIS alternatives, could change the hydrodynamics and water-quality conditions in Pueblo Reservoir. An interagency agreement was initiated between Reclamation and the U.S. Geological Survey to accurately simulate hydrodynamics and water quality in Pueblo Reservoir for projected demands associated with four of the seven proposed EIS alternatives.\n\nThe four alternatives submitted to the USGS for scenario simulation included various combinations (action or no action) of the proposed Arkansas Valley Conduit, Master Contract, and Interconnect options. The four alternatives were the No Action, Comanche South, Joint Use Pipeline North, and Master Contract Only. Additionally, scenario simulations were done that represented existing conditions (Existing Conditions scenario) in Pueblo Reservoir. Water-surface elevations, water temperature, dissolved oxygen, dissolved solids, dissolved ammonia, dissolved nitrate, total phosphorus, total iron, and algal biomass (measured as chlorophyll-a) were simulated. Each of the scenarios was simulated for three contiguous water years representing a wet, average, and dry annual hydrologic cycle. Each selected simulation scenario also was evaluated for differences in direct/indirect effects and cumulative effects on a particular scenario. Analysis of the results for the direct/indirect- and cumulative-effects analyses indicated that, in general, the results were similar for most of the scenarios and comparisons in this report focused on results from the direct/indirect-effects analyses.\n\nScenario simulations that represented existing conditions in Pueblo Reservoir were compared to the No Action scenario to assess changes in water quality from current demands (2006) to projected demands in 2070. Overall, comparisons of the results between the Existing Conditions and the No Action scenarios for water-surface elevations, water temperature, and dissolved oxygen, dissolved solids, dissolved ammonia, dissolved nitrate, total phosphorus, and total iron concentrations indicated that the annual median values generally were similar for all three simulated years. Additionally, algal groups and chlorophyll-a concentrations (algal biomass) were similar for the Existing Conditions and the No Action scenarios at site 7B in the epilimnion for the simulated period (Water Year 2000 through 2002).\n\nThe No Action scenario also was compared individually to the Comanche South, Joint Use Pipeline North, and Master Contract Only scenarios. These comparisons were made to describe changes in the annual median, 85th percentile, or 15th percentile concentration between the No Action scenario and each of the other three simulation scenarios. Simulated water-surface elevations, water temperature, dissolved oxygen, dissolved solids, dissolved ammonia, dissolved nitrate, total phosphorus, total iron, algal groups, and chlorophyll-a concentrations in Pueblo Reservoir generally were similar between the No Action scenario and each of the other three simulation scenarios.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135119","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Ortiz, R.F., 2013, Simulated effects of proposed Arkansas Valley Conduit on hydrodynamics and water quality for projected demands through 2070, Pueblo Reservoir, southeastern Colorado: U.S. Geological Survey Scientific Investigations Report 2013-5119, viii, 49 p., https://doi.org/10.3133/sir20135119.","productDescription":"viii, 49 p.","numberOfPages":"60","onlineOnly":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":276253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135119.jpg"},{"id":276251,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5119/"},{"id":276252,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5119/pdf/sir2013-5119.pdf"}],"country":"United States","state":"Colorado","otherGeospatial":"Pueblo Resevoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.4,38.2 ], [ -105.4,38.8 ], [ -104.6,38.8 ], [ -104.6,38.2 ], [ -105.4,38.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afdae4b0403aa62629ba","contributors":{"authors":[{"text":"Ortiz, Roderick F. rfortiz@usgs.gov","contributorId":1126,"corporation":false,"usgs":true,"family":"Ortiz","given":"Roderick","email":"rfortiz@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482315,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047538,"text":"ofr20131175 - 2013 - Economic resilience through \"One-Water\" management","interactions":[],"lastModifiedDate":"2013-08-08T15:49:13","indexId":"ofr20131175","displayToPublicDate":"2013-08-08T15:44:00","publicationYear":"2013","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":"2013-1175","title":"Economic resilience through \"One-Water\" management","docAbstract":"Disruption of water availability leads to food scarcity and loss of economic opportunity. Development of effective water-resource policies and management strategies could provide resiliance to local economies in the face of water disruptions such as drought, flood, and climate change. To accomplish this, a detailed understanding of human water use and natural water resource availability is needed. A hydrologic model is a computer software system that simulates the movement and use of water in a geographic area. It takes into account all components of the water cycle--“One Water”--and helps estimate water budgets for groundwater, surface water, and landscape features. The U.S. Geological Survey MODFLOW One-Water Integrated Hydrologic Model (MODFLOWOWHM) software and scientific methods can provide water managers and political leaders with hydrologic information they need to help ensure water security and economic resilience.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131175","usgsCitation":"Hanson, R.T., and Schmid, W., 2013, Economic resilience through \"One-Water\" management: U.S. Geological Survey Open-File Report 2013-1175, 2 p., https://doi.org/10.3133/ofr20131175.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":276247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131175.jpg"},{"id":276245,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1175/"},{"id":276246,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1175/pdf/ofr20131175.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afd8e4b0403aa62629aa","contributors":{"authors":[{"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":482301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmid, Wolfgang","contributorId":84020,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","affiliations":[{"id":13040,"text":"Department of Hydrology and Water Resources, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":482302,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047470,"text":"sir20125097 - 2013 - Flood hydrology and dam-breach hydraulic analyses of five reservoirs in Colorado","interactions":[],"lastModifiedDate":"2013-08-07T08:06:30","indexId":"sir20125097","displayToPublicDate":"2013-08-07T07:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5097","title":"Flood hydrology and dam-breach hydraulic analyses of five reservoirs in Colorado","docAbstract":"The U.S. Department of Agriculture Forest Service has identified hazard concerns for areas downstream from five Colorado dams on Forest Service land. In 2009, the U.S. Geological Survey, in cooperation with the Forest Service, initiated a flood hydrology analysis to estimate the areal extent of potential downstream flood inundation and hazard to downstream life, property, and infrastructure if dam breach occurs. Readily available information was used for dam-breach assessments of five small Colorado reservoirs (Balman Reservoir, Crystal Lake, Manitou Park Lake, McGinnis Lake, and Million Reservoir) that are impounded by an earthen dam, and no new data were collected for hydraulic modeling. For each reservoir, two dam-breach scenarios were modeled: (1) the dam is overtopped but does not fail (break), and (2) the dam is overtopped and dam-break occurs. The dam-breach scenarios were modeled in response to the 100-year recurrence, 500-year recurrence, and the probable maximum precipitation, 24-hour duration rainstorms to predict downstream flooding. For each dam-breach and storm scenario, a flood inundation map was constructed to estimate the extent of flooding in areas of concern downstream from each dam. Simulation results of the dam-break scenarios were used to determine the hazard classification of the dam structure (high, significant, or low), which is primarily based on the potential for loss of life and property damage resulting from the predicted downstream flooding.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125097","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture Forest Service","usgsCitation":"Stevens, M.R., and Hoogestraat, G., 2013, Flood hydrology and dam-breach hydraulic analyses of five reservoirs in Colorado: U.S. Geological Survey Scientific Investigations Report 2012-5097, vi, 24 p.; Downloads Directory, https://doi.org/10.3133/sir20125097.","productDescription":"vi, 24 p.; Downloads Directory","numberOfPages":"33","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":276142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125097.gif"},{"id":276143,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5097/"},{"id":276144,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5097/pdf/sir2012-5097.pdf"},{"id":276145,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5097/downloads/"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0,36.0 ], [ -111.0,42.0 ], [ -99,0,42.0 ], [ -99,0,36.0 ], [ -111.0,36.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a33fe4b02bdb1bc63f64","contributors":{"authors":[{"text":"Stevens, Michael R. 0000-0002-9476-6335 mrsteven@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6335","contributorId":769,"corporation":false,"usgs":true,"family":"Stevens","given":"Michael","email":"mrsteven@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoogestraat, Galen K.","contributorId":22442,"corporation":false,"usgs":true,"family":"Hoogestraat","given":"Galen K.","affiliations":[],"preferred":false,"id":482128,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}