{"pageNumber":"984","pageRowStart":"24575","pageSize":"25","recordCount":40811,"records":[{"id":76724,"text":"ofr20061104 - 2006 - A guide for using the transient ground-water flow model of the Death Valley regional ground-water flow system, Nevada and California","interactions":[],"lastModifiedDate":"2012-03-08T17:16:23","indexId":"ofr20061104","displayToPublicDate":"2006-05-16T00:00:00","publicationYear":"2006","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":"2006-1104","title":"A guide for using the transient ground-water flow model of the Death Valley regional ground-water flow system, Nevada and California","docAbstract":"This report is a guide for executing numerical simulations with the transient ground-water flow model of the Death Valley regional ground-water flow system, Nevada and California using the U.S. Geological Survey modular finite-difference ground-water flow model, MODFLOW-2000. Model inputs, including observations of hydraulic head, discharge, and boundary flows, are summarized. Modification of the DVRFS transient ground-water model is discussed for two common uses of the Death Valley regional ground-water flow system model: predictive pumping scenarios that extend beyond the end of the model simulation period (1998), and model simulations with only steady-state conditions.","language":"ENGLISH","doi":"10.3133/ofr20061104","usgsCitation":"Blainey, J.B., Faunt, C., and Hill, M.C., 2006, A guide for using the transient ground-water flow model of the Death Valley regional ground-water flow system, Nevada and California: U.S. Geological Survey Open-File Report 2006-1104, 36 p., https://doi.org/10.3133/ofr20061104.","productDescription":"36 p.","numberOfPages":"36","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":194504,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7790,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1104/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae576","contributors":{"authors":[{"text":"Blainey, Joan B.","contributorId":54284,"corporation":false,"usgs":true,"family":"Blainey","given":"Joan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":287721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":1491,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":287720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":287719,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":76721,"text":"ofr20061087 - 2006 - Annual dissolved nitrite plus nitrate and total phosphorous loads for the Susquehanna, St. Lawrence, Mississippi-Atchafalaya, and Columbia River basins, 1968-2004","interactions":[],"lastModifiedDate":"2012-03-08T17:16:24","indexId":"ofr20061087","displayToPublicDate":"2006-05-16T00:00:00","publicationYear":"2006","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":"2006-1087","title":"Annual dissolved nitrite plus nitrate and total phosphorous loads for the Susquehanna, St. Lawrence, Mississippi-Atchafalaya, and Columbia River basins, 1968-2004","docAbstract":"Annual stream-water loads were calculated near the outlet of four of the larger river basins (Susquehanna, St. Lawrence, Mississippi-Atchafalaya, and Columbia) in the United States for dissolved nitrite plus nitrate (NO2 + NO3) and total phosphorus using LOADEST load estimation software. Loads were estimated for the period 1968-2004; although loads estimated for individual river basins and chemical constituent combinations typically were for shorter time periods due to limitations in data availability. Stream discharge and water-quality data for load estimates were obtained from the U.S. Geological Survey (USGS) with additional stream discharge data for the Mississippi-Atchafalaya River Basin from the U.S. Army Corps of Engineers. The loads were estimated to support national assessments of changes in stream nutrient loads that are periodically conducted by Federal agencies (for example, U.S. Environmental Protection Agency) and other water- and land-resource organizations. Data, methods, and results of load estimates are summarized herein; including World Wide Web links to electronic ASCII text files containing the raw data. The load estimates are compared to dissolved NO2 + NO3 loads for three of the large river basins from 1971 to 1998 that the USGS provided during 2001 to The H. John Heinz III Center for Science, Economics and the Environment (The Heinz Center) for a report The Heinz Center published during 2002. Differences in the load estimates are the result of using the most up-to-date monitoring data since the 2001 analysis, differences in how concentrations less than the reporting limit were handled by the load estimation models, and some errors and exclusions in the 2001 analysis datasets (which resulted in some inaccurate load estimates).","language":"ENGLISH","doi":"10.3133/ofr20061087","collaboration":"Although this report is in the public domain, permission must be secured from the individual copyright owners to reproduce any copyrighted materials contained within this report.","usgsCitation":"Aulenbach, B.T., 2006, Annual dissolved nitrite plus nitrate and total phosphorous loads for the Susquehanna, St. Lawrence, Mississippi-Atchafalaya, and Columbia River basins, 1968-2004: U.S. Geological Survey Open-File Report 2006-1087, 16 p., https://doi.org/10.3133/ofr20061087.","productDescription":"16 p.","numberOfPages":"16","temporalStart":"1968-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":194568,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7787,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1087/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67bb47","contributors":{"authors":[{"text":"Aulenbach, Brent T. 0000-0003-2863-1288 btaulenb@usgs.gov","orcid":"https://orcid.org/0000-0003-2863-1288","contributorId":3057,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent","email":"btaulenb@usgs.gov","middleInitial":"T.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287712,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76718,"text":"sir20065097 - 2006 - Ground-water flow model of the Boone formation at the Tar Creek superfund site, Oklahoma and Kansas","interactions":[],"lastModifiedDate":"2012-02-02T00:14:21","indexId":"sir20065097","displayToPublicDate":"2006-05-15T00:00:00","publicationYear":"2006","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":"2006-5097","title":"Ground-water flow model of the Boone formation at the Tar Creek superfund site, Oklahoma and Kansas","docAbstract":"Extensive mining activities conducted at the Tar Creek Superfund site, one of the largest Superfund sites in the United States, pose substantial health and safety risks. Mining activities removed a total of about 6,000,000 tons of lead and zinc by 1949. To evaluate the effect of this mining on the ground-water flow, a MODFLOW 2000 digital model has been developed to simulate ground-water flow in the carbonate formations of Mississippian age underlying the Tar Creek Superfund site. The model consists of three layers of variable thickness and a grid of 580 rows by 680 columns of cells 164 feet (50 meters) on a side. Model flux boundary conditions are specified for rivers and general head boundaries along the northern boundary of the Boone Formation. Selected cells in layer 1 are simulated as drain cells. Model calibration has been performed to minimize the difference between simulated and observed water levels in the Boone Formation. Hydraulic conductivity values specified during calibration range from 1.3 to 35 feet per day for the Boone Formation with the larger values occurring along the axis of the Miami Syncline where horizontal anisotropy is specified as 10 to 1. Hydraulic conductivity associated with the mine void is set at 50,000 feet per day and a specific yield of 1.0 is specified to represent that the mine void is filled completely with water. Residuals (the difference between measured and simulated ground-water altitudes) has a root-mean-squared value of 8.53 feet and an absolute mean value of 7.29 feet for 17 observed values of water levels in the Boone Formation.\r\n\r\nThe utility of the model for simulating and evaluating the possible consequences of remediation activities has been demonstrated. The model was used to simulate the emplacement of chat (mine waste consisting of fines and fragments of chert) back into the mine. Scenarios using 1,800,000 and 6,500,000 tons of chat were run. Hydraulic conductivity was reduced from 50,000 feet per day to 35 feet per day in the model cells corresponding to chat emplacement locations. A comparison of the simulated baseline conditions and conditions after simulated chat emplacement revealed little change in water levels, drainage and stream flux, and ground-water flow velocity.\r\n\r\nUsing the calibrated flow model, particle tracks were simulated using MODPATH to evaluate the simultaneous movement of particles with water in the vicinity of four potential sites at which various volumes of chat might be emplaced in the underground mine workings as part of potential remediation efforts at the site. Particle tracks were generated to follow the rate and direction of water movement for a simulated period of 100 years. In general, chat emplacement had minimal effect on the direction and rate of movement when compared to baseline (current) flow conditions. Water-level differences between baseline and chat-emplacement scenarios showed declines as much as 2 to 3 feet in areas immediately downgradient from the chat emplacement cells and little or no head change upgradient. Chat emplacements had minimal effect on changes in surfacewater flux with the largest simulated difference in one cell between baseline and chat emplacement scenarios being about 3.5 gallons per minute.","language":"ENGLISH","doi":"10.3133/sir20065097","collaboration":"Although this report is in the public domain, permission must be secured from the individual copyright owners to reproduce\r\nany copyrighted materials contained within this report.","usgsCitation":"Reed, T., and Czarnecki, J.B., 2006, Ground-water flow model of the Boone formation at the Tar Creek superfund site, Oklahoma and Kansas: U.S. Geological Survey Scientific Investigations Report 2006-5097, 41 p., https://doi.org/10.3133/sir20065097.","productDescription":"41 p.","numberOfPages":"41","onlineOnly":"Y","costCenters":[],"links":[{"id":194521,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7781,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5097/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aaae4b07f02db669640","contributors":{"authors":[{"text":"Reed, T.B.","contributorId":56658,"corporation":false,"usgs":true,"family":"Reed","given":"T.B.","email":"","affiliations":[],"preferred":false,"id":287701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Czarnecki, John B. jczarnec@usgs.gov","contributorId":2555,"corporation":false,"usgs":true,"family":"Czarnecki","given":"John","email":"jczarnec@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":287700,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76711,"text":"ofr20061134 - 2006 - Geologic and hydrogeologic framework of the Espa?ola basin -- Proceedings of the 5th annual Espa?ola basin workshop, Santa Fe, New Mexico, March 7-8, 2006","interactions":[],"lastModifiedDate":"2012-02-02T00:14:07","indexId":"ofr20061134","displayToPublicDate":"2006-05-13T00:00:00","publicationYear":"2006","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":"2006-1134","title":"Geologic and hydrogeologic framework of the Espa?ola basin -- Proceedings of the 5th annual Espa?ola basin workshop, Santa Fe, New Mexico, March 7-8, 2006","docAbstract":"This report presents abstracts of technical studies that are focused on the hydrogeologic framework of the Espa?ola basin, a major subbasin of the Cenozoic Rio Grande rift. The Rio Grande, Rio Chama, Santa Fe River, and their tributaries carry important surface water in the Espa?ola basin. Sediments and interbedded volcanic rocks fill the Espa?ola basin and form extensive aquifer systems for ground water. Surface and ground water provide the principal sources of water for most residents of the basin, including people in the cities of Santa Fe, Espa?ola, and Los Alamos as well as Native Americans in several Pueblos.\r\n\r\nThe abstracts describe results of technical studies that were presented either as poster exhibits or oral presentations at the fifth-annual Espa?ola basin workshop, held March 7-8 of 2006 in Santa Fe, New Mexico. The principal goal of this workshop was to share information about ongoing studies.\r\n\r\nThe Espa?ola basin workshop was hosted by the Espa?ola basin technical advisory group (EBTAG) and sponsored by the U.S. Geological Survey, the New Mexico Bureau of Geology and Mineral Resources, and the Water Research Technical Assistance Office of Los Alamos National Laboratory. Abstracts in this report have been grouped into six information themes: Basic Water Data, Water Quality and Water Chemistry, Water Balance and Stream/Aquifer Interaction, Data Integration and Hydrologic Model Testing, Three-Dimensional Hydrogeological Architecture, and Geologic Framework.\r\n\r\nAbstracts submitted by U.S. Geological Survey authors in this report have had their technical content peer reviewed before they were included in the report. Technical reviews were not required for abstracts submitted by authors outside the USGS, although most did receive peer reviews within their originating agencies. Taken together, the abstracts in this report provide a view of the current status of hydrogeologic research within the Espa?ola basin.","language":"ENGLISH","doi":"10.3133/ofr20061134","usgsCitation":"McKinney, K.C., 2006, Geologic and hydrogeologic framework of the Espa?ola basin -- Proceedings of the 5th annual Espa?ola basin workshop, Santa Fe, New Mexico, March 7-8, 2006 (Version 1.0): U.S. Geological Survey Open-File Report 2006-1134, 40 p., https://doi.org/10.3133/ofr20061134.","productDescription":"40 p.","numberOfPages":"40","onlineOnly":"Y","temporalStart":"2006-03-07","temporalEnd":"2006-03-08","costCenters":[],"links":[{"id":192367,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7766,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1134/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a8231","contributors":{"authors":[{"text":"McKinney, Kevin C. kcmckinney@usgs.gov","contributorId":3406,"corporation":false,"usgs":true,"family":"McKinney","given":"Kevin","email":"kcmckinney@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":287677,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76713,"text":"ofr20061120 - 2006 - Magnetotelluric data collected near geophysically logged boreholes in the Española and Middle Rio Grande Basins, New Mexico","interactions":[],"lastModifiedDate":"2021-10-14T19:35:27.178391","indexId":"ofr20061120","displayToPublicDate":"2006-05-13T00:00:00","publicationYear":"2006","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":"2006-1120","title":"Magnetotelluric data collected near geophysically logged boreholes in the Española and Middle Rio Grande Basins, New Mexico","docAbstract":"<p>The Santa Fe region is growing rapidly. The Santa Fe Group aquifer in the Española Basin is the main source of municipal water for the region, and water shortfalls could have serious consequences. Future growth and land management in the region depend on accurate assessment and protection of the region's ground-water resources. An important issue in managing the ground-water resources is a better understanding of the hydrogeology of the Tertiary Santa Fe Group. The Santa Fe Group includes the sedimentary deposits that fill the Rio Grande rift and contain the principal ground-water aquifers. The U.S. Geological Survey (USGS) is conducting a series of multidisciplinary studies of the Española Basin in northern New Mexico. Detailed geologic mapping, high-resolution airborne magnetic surveys, electromagnetic surveys, and hydrologic, lithologic, and hydro-geochemical data are being used to better understand the aquifer systems. Magnetotelluric (MT) surveys were completed as part of these studies. The primary purpose of the MT surveys was to map changes in electrical resistivity with depth that are related to differences in various rock types that help control the properties of aquifers in the region. Resistivity modeling of the MT data can be used to investigate buried structures related to the basic geologic framework of the study area. The purpose of this report is to release MT sounding data collected near geophysically logged boreholes in the study area, including the nearby Middle Rio Grande Basin. This MT data can be used in subsequent resistivity modeling. No interpretation of the data is included in this report.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061120","usgsCitation":"Williams, J.M., and Rodriguez, B.D., 2006, Magnetotelluric data collected near geophysically logged boreholes in the Española and Middle Rio Grande Basins, New Mexico (Revised and reprinted 2006): U.S. Geological Survey Open-File Report 2006-1120, 129 p., https://doi.org/10.3133/ofr20061120.","productDescription":"129 p.","numberOfPages":"129","onlineOnly":"Y","costCenters":[],"links":[{"id":193029,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":390532,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76533.htm"},{"id":7768,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1120/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","otherGeospatial":"Española and Middle Rio Grande Basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107,\n              35.25\n            ],\n            [\n              -105.7903,\n              35.25\n            ],\n            [\n              -105.7903,\n              36\n            ],\n            [\n              -107,\n              36\n            ],\n            [\n              -107,\n              35.25\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Revised and reprinted 2006","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649438","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":287682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":287681,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76706,"text":"ofr20061133 - 2006 - Coastal classification atlas: South Texas coastal classification maps: Mansfield Channel to the Rio Grande","interactions":[],"lastModifiedDate":"2023-11-27T22:04:11.220131","indexId":"ofr20061133","displayToPublicDate":"2006-05-12T00:00:00","publicationYear":"2006","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":"2006-1133","title":"Coastal classification atlas: South Texas coastal classification maps: Mansfield Channel to the Rio Grande","docAbstract":"The Nation's rapidly growing coastal population requires reliable information regarding the vulnerability of coastal regions to storm impacts. This has created a need for classifying coastal lands and evaluating storm-hazard vulnerability. Government officials and resource managers responsible for dealing with natural hazards also need accurate assessments of potential storm impacts in order to make informed decisions before, during, and after major storm events. Both economic development and coastal-damage mitigation require integrated models of storm parameters, hazard vulnerability, and expected coastal responses. Thus, storm-hazard vulnerability assessments constitute one of the fundamental components of forecasting storm impacts.\r\n\r\nEach year as many as 10 to 12 hurricanes and tropical storms will be the focus of national attention. Of particular interest are intense hurricanes (Categories 3 to 5 of the Saffir-Simpson Hurricane Scale) that have the potential to cause substantial economic and environmental damage to the Atlantic and Gulf Coasts of the United States. These coastal regions include some of the largest metropolitan areas in the country and they continue to experience rapid population growth. Based on media reports, there is a general lack of public knowledge regarding how different coastal segments will respond to the same storm or how the same coastal segment will respond differently depending on storm conditions.\r\n\r\nA primary purpose of the USGS National Assessment of Coastal Change Project is to provide accurate representations of pre-storm ground conditions for areas that are designated high priority because they have dense populations or valuable resources that are at risk. A secondary purpose is to develop a broad coastal classification that, with only minor modification, can be applied to most coastal regions in the United States.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Coastal Classification Atlas","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061133","usgsCitation":"Morton, R., and Peterson, R.L., 2006, Coastal classification atlas: South Texas coastal classification maps: Mansfield Channel to the Rio Grande: U.S. Geological Survey Open-File Report 2006-1133, HTML Document, https://doi.org/10.3133/ofr20061133.","productDescription":"HTML Document","onlineOnly":"Y","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":422985,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76531.htm","linkFileType":{"id":5,"text":"html"}},{"id":192235,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7760,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1133/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","otherGeospatial":"Mansfield Channel, Rio Grande","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.44773285969062,\n              26.92200388384326\n            ],\n            [\n              -97.24224431455427,\n              25.99446229085062\n            ],\n            [\n              -97.1335908395723,\n              25.988926377530746\n            ],\n            [\n              -97.20037461674151,\n              26.46008894232383\n            ],\n            [\n              -97.34524404106283,\n              26.909174797589287\n            ],\n            [\n              -97.44773285969062,\n              26.92200388384326\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db698651","contributors":{"authors":[{"text":"Morton, Robert A.","contributorId":88333,"corporation":false,"usgs":true,"family":"Morton","given":"Robert A.","affiliations":[],"preferred":false,"id":287671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Russell L.","contributorId":55045,"corporation":false,"usgs":true,"family":"Peterson","given":"Russell","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":287670,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76698,"text":"fs20053078 - 2006 - Modeling surface-water flow and sediment mobility with the Multi-Dimensional Surface-Water Modeling System (MD_SWMS)","interactions":[],"lastModifiedDate":"2012-02-02T00:14:18","indexId":"fs20053078","displayToPublicDate":"2006-05-09T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-3078","title":"Modeling surface-water flow and sediment mobility with the Multi-Dimensional Surface-Water Modeling System (MD_SWMS)","docAbstract":"The Multi-Dimensional Surface-Water Modeling System (MD_SWMS) is a Graphical User Interface for surface-water flow and sediment-transport models. The capabilities of MD_SWMS for developing models include: importing raw topography and other ancillary data; building the numerical grid and defining initial and boundary conditions; running simulations; visualizing results; and comparing results with measured data.","language":"ENGLISH","doi":"10.3133/fs20053078","usgsCitation":"McDonald, R., Nelson, J., Kinzel, P., and Conaway, J.S., 2006, Modeling surface-water flow and sediment mobility with the Multi-Dimensional Surface-Water Modeling System (MD_SWMS): U.S. Geological Survey Fact Sheet 2005-3078, 6 p., https://doi.org/10.3133/fs20053078.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":126314,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2005_3078.jpg"},{"id":7748,"rank":9999,"type":{"id":4,"text":"Application Site"},"url":"https://wwwbrr.cr.usgs.gov/projects/SW_Math_mod/OpModels/MD_SWMS/index.htm","linkFileType":{"id":5,"text":"html"}},{"id":7747,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2005/3078/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db6997cb","contributors":{"authors":[{"text":"McDonald, Richard","contributorId":76031,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","affiliations":[],"preferred":false,"id":287652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Jonathan","contributorId":100471,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","affiliations":[],"preferred":false,"id":287653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kinzel, Paul","contributorId":100940,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","affiliations":[],"preferred":false,"id":287654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conaway, Jeffrey S. 0000-0002-3036-592X jconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":2026,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeffrey","email":"jconaway@usgs.gov","middleInitial":"S.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":287651,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":76700,"text":"tm6A20 - 2006 - GoPhast: A graphical user interface for PHAST","interactions":[],"lastModifiedDate":"2020-01-26T16:13:55","indexId":"tm6A20","displayToPublicDate":"2006-05-09T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A20","title":"GoPhast: A graphical user interface for PHAST","docAbstract":"GoPhast is a graphical user interface (GUI) for the USGS model PHAST. PHAST simulates multicomponent, reactive solute transport in three-dimensional, saturated, ground-water flow systems. PHAST can model both equilibrium and kinetic geochemical reactions. PHAST is derived from HST3D (flow and transport) and PHREEQC (geochemical calculations). The flow and transport calculations are restricted to constant fluid density and constant temperature. The complexity of the input required by PHAST makes manual construction of its input files tedious and error-prone. GoPhast streamlines the creation of the input file and helps reduce errors. GoPhast allows the user to define the spatial input for the PHAST flow and transport data file by drawing points, lines, or polygons on top, front, and side views of the model domain. These objects can have up to two associated formulas that define their extent perpendicular to the view plane, allowing the objects to be three-dimensional. Formulas are also used to specify the values of spatial data (data sets) both globally and for individual objects. Objects can be used to specify the values of data sets independent of the spatial and temporal discretization of the model. Thus, the grid and simulation periods for the model can be changed without respecifying spatial data pertaining to the hydrogeologic framework and boundary conditions. This report describes the operation of GoPhast and demonstrates its use with examples. GoPhast runs on Windows 2000, Windows XP, and Linux operating systems.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Book 6: Modeling techniques, Section A. Ground-water","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/tm6A20","usgsCitation":"Winston, R.B., 2006, GoPhast: A graphical user interface for PHAST: U.S. Geological Survey Techniques and Methods 6-A20, 98 p., https://doi.org/10.3133/tm6A20.","productDescription":"98 p.","numberOfPages":"98","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":192966,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7750,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/2006/tm6a20/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db67425d","contributors":{"authors":[{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":287656,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70179520,"text":"70179520 - 2006 - Survival estimates of migrant juvenile salmonids through Bonneville Dam using radio telemetry, 2005","interactions":[],"lastModifiedDate":"2017-01-04T11:27:50","indexId":"70179520","displayToPublicDate":"2006-05-09T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Survival estimates of migrant juvenile salmonids through Bonneville Dam using radio telemetry, 2005","docAbstract":"<p>During 2005, we evaluated the survival of radio-tagged yearling and subyearling Chinook salmon and steelhead trout through the Bonneville Dam spillway, powerhouses 1 and 2, the corner collector and juvenile bypass system (JBS) at powerhouse 2, and through all routes collectively using the route-specific survival model. Radio-tagged fish were released at The Dalles Dam and in the tailrace of Bonneville Dam and were interrogated at Bonneville Dam and three radio-telemetry arrays below Bonneville Dam. We also evaluated the survival of radio-tagged yearling and subyearling Chinook salmon and steelhead trout using paired releases through the ice and trash sluiceway at Bonneville Dam’s powerhouse 1. Site-specific releases were made directly into the ice and trash sluiceway and in the tailrace of Bonneville Dam below the outfall of powerhouse 2 juvenile bypass system. </p>","language":"English","publisher":"U.S. Army Corps of Engineers","usgsCitation":"Counihan, T.D., Hardiman, J.M., Walker, C., Puls, A., and Holmberg , G., 2006, Survival estimates of migrant juvenile salmonids through Bonneville Dam using radio telemetry, 2005, xvii., 92 p. .","productDescription":"xvii., 92 p. ","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":332839,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://www.salmonrecovery.gov/Files/Comprehensive%20Evaluation/Counihan-etal_2006_BON-2005-Spr-Sum-Survival.pdf"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Bonneville Dam, Columbia River, The Dalles Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.32315063476562,\n              45.57271635803083\n            ],\n            [\n              -122.35198974609375,\n              45.57560020947802\n            ],\n            [\n              -122.35336303710938,\n              45.545793269880924\n            ],\n            [\n              -122.34100341796875,\n              45.53040285599187\n            ],\n            [\n              -122.09518432617186,\n              45.55156358906749\n            ],\n            [\n              -121.83563232421875,\n              45.655328041141374\n            ],\n            [\n              -121.76010131835938,\n              45.678360745353004\n            ],\n            [\n              -121.40304565429688,\n              45.68123916702059\n            ],\n            [\n              -121.24099731445311,\n              45.636126881422804\n            ],\n            [\n              -121.16134643554686,\n              45.58521197809398\n            ],\n            [\n              -121.06933593749999,\n              45.625563438215984\n            ],\n            [\n              -121.0308837890625,\n              45.63900747494936\n            ],\n            [\n              -121.06796264648436,\n              45.6716438522655\n            ],\n            [\n              -121.16409301757814,\n              45.63228585970125\n            ],\n            [\n              -121.21490478515625,\n              45.691792112909965\n            ],\n            [\n              -121.31790161132811,\n              45.72152152227954\n            ],\n            [\n              -121.47445678710936,\n              45.73781803408217\n            ],\n            [\n              -121.7120361328125,\n              45.7387765043515\n            ],\n            [\n              -121.9317626953125,\n              45.69562905418698\n            ],\n            [\n              -122.10205078125,\n              45.6178796835697\n            ],\n            [\n              -122.29843139648436,\n              45.56887099240433\n            ],\n            [\n              -122.32315063476562,\n              45.57271635803083\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586e1836e4b0f5ce109fcb37","contributors":{"authors":[{"text":"Counihan, Timothy D. 0000-0003-4967-6514 tcounihan@usgs.gov","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":4211,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy","email":"tcounihan@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":657547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":657548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Chris","contributorId":177932,"corporation":false,"usgs":false,"family":"Walker","given":"Chris","email":"","affiliations":[],"preferred":false,"id":657549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Puls, Amy","contributorId":177933,"corporation":false,"usgs":false,"family":"Puls","given":"Amy","affiliations":[],"preferred":false,"id":657550,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holmberg , Glen","contributorId":177934,"corporation":false,"usgs":false,"family":"Holmberg ","given":"Glen","affiliations":[],"preferred":false,"id":657551,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":76693,"text":"sir20065029 - 2006 - Geomorphic characteristics and classification of Duluth-area streams, Minnesota","interactions":[],"lastModifiedDate":"2016-04-01T15:44:57","indexId":"sir20065029","displayToPublicDate":"2006-05-04T00:00:00","publicationYear":"2006","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":"2006-5029","title":"Geomorphic characteristics and classification of Duluth-area streams, Minnesota","docAbstract":"<p><span>In 2003 and 2004, a geomorphic assessment of streams in 20 watersheds in the Duluth, Minn., area was conducted to identify and summarize geomorphic characteristics, processes, disturbance mechanisms, and potential responses to disturbance. Methods used to assess the streams included watershed characterization, descriptions of segment slopes and valley types, historical aerial photograph interpretation, and rapid field assessments and intensive field surveys of stream reaches. Geomorphic conditions were summarized into a segment-scale classification with 15 categories mainly based on drainage-network position and slope, and, secondarily, based on geologic setting, valley type, and dominant geomorphic processes. Main causes of geomorphic disturbance included historical logging and agriculture, and ongoing urban development, human-caused channel alterations, road and storm sewer drainage, ditching, hiking trails, and gravel pits or quarries. Geomorphic responses to these disturbances are dependent on a combination of drainage-network position, slope, and geologic setting. Geologic setting is related to drainage-network position because the geologic deposits parallel the Lake Superior shoreline. Headwater streams in large watersheds flow over glacial deposits above altitudes of about 1,200 feet (ft). Headwater tributaries and upper main stems have ditch-like channels with gentle slopes and no valleys. Urban development and road drainage cause increased runoff and flood peaks in these segments resulting in channel widening. Below about 1,200 ft, main-stem segments generally are affected by bedrock type and structure and have steep slopes and confined or entrenched valleys. Increases in flood peaks do not cause incision or widening in the bedrock-controlled valleys; instead, the flow and scour areas are expanded. Feeder tributaries to these main stems have steep, confined valleys and may be sources for sediment from urban areas, road runoff, or storm sewer outfalls. Main-stem segments near the glacial deposits/surficial bedrock contact (1,000&ndash;1,200 ft) have the most potential for response to disturbance because they tend to have narrow valleys with sandy glacial lakeshore deposits and moderate slopes. Increases in flood peaks (from upstream increases in runoff) increase the potential for landslides and mass wasting from valley sides as well as channel widening.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20065029","collaboration":"In cooperation with the City of Duluth, Minnesota","usgsCitation":"Fitzpatrick, F.A., Peppler, M.C., DePhilip, M.M., and Lee, K., 2006, Geomorphic characteristics and classification of Duluth-area streams, Minnesota: U.S. Geological Survey Scientific Investigations Report 2006-5029, vi, 54 p., https://doi.org/10.3133/sir20065029.","productDescription":"vi, 54 p.","numberOfPages":"62","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":319738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20065029.JPG"},{"id":7746,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5029/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Minnesota","otherGeospatial":"Duluth-area streams","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.97959899902344,\n              46.869580496513265\n            ],\n            [\n              -92.0935821533203,\n              46.86840690122077\n            ],\n            [\n              -92.09426879882811,\n              46.85549565938302\n            ],\n            [\n              -92.16464996337889,\n              46.85666953694681\n            ],\n            [\n              -92.15606689453124,\n              46.86183429337137\n            ],\n            [\n              -92.1488571166992,\n              46.86371226344324\n            ],\n            [\n              -92.13512420654297,\n              46.86324277708391\n            ],\n            [\n              -92.1310043334961,\n              46.8667638247013\n            ],\n            [\n              -92.12997436523438,\n              46.87192761011649\n            ],\n            [\n              -92.12997436523438,\n              46.876856214584464\n            ],\n            [\n              -92.13237762451172,\n              46.88201902901262\n            ],\n            [\n              -92.12928771972656,\n              46.891170070059815\n            ],\n            [\n              -92.12825775146484,\n              46.89562770401033\n            ],\n            [\n              -92.12688446044922,\n              46.90055413151483\n            ],\n            [\n              -92.12722778320312,\n              46.904307296289375\n            ],\n            [\n              -92.12860107421875,\n              46.90759109993506\n            ],\n            [\n              -92.12688446044922,\n              46.91368905872705\n            ],\n            [\n              -92.12413787841797,\n              46.91931732797349\n            ],\n            [\n              -92.11967468261719,\n              46.925413952558074\n            ],\n            [\n              -92.11761474609374,\n              46.93432315590575\n            ],\n            [\n              -92.11830139160156,\n              46.93830837235696\n            ],\n            [\n              -92.11658477783203,\n              46.942527690033195\n            ],\n            [\n              -92.11109161376953,\n              46.945340383758754\n            ],\n            [\n              -92.11658477783203,\n              46.94721543080955\n            ],\n            [\n              -92.1207046508789,\n              46.94909041218105\n            ],\n            [\n              -92.1148681640625,\n              46.95190276109027\n            ],\n            [\n              -92.10868835449219,\n              46.95518364804432\n            ],\n            [\n              -92.10971832275389,\n              46.95729268344381\n            ],\n            [\n              -92.11383819580078,\n              46.96174481853687\n            ],\n            [\n              -92.11830139160156,\n              46.96268206292989\n            ],\n            [\n              -92.12448120117188,\n              46.961510504873075\n            ],\n            [\n              -92.1316909790039,\n              46.9591673117941\n            ],\n            [\n              -92.13787078857422,\n              46.95893298684206\n            ],\n            [\n              -92.1364974975586,\n              46.96197913117444\n            ],\n            [\n              -92.1364974975586,\n              46.96689945951128\n            ],\n            [\n              -92.13890075683594,\n              46.970179426985446\n            ],\n            [\n              -92.13031768798828,\n              46.974864745903936\n            ],\n            [\n              -92.12963104248047,\n              46.978846944253625\n            ],\n            [\n              -92.12963104248047,\n              46.98072081733128\n            ],\n            [\n              -92.12482452392577,\n              46.98399993718925\n            ],\n            [\n              -92.11864471435547,\n              46.98399993718925\n            ],\n            [\n              -92.10731506347656,\n              46.98165772924235\n            ],\n            [\n              -92.10456848144531,\n              46.984468366464846\n            ],\n            [\n              -92.10010528564453,\n              46.985171002682115\n            ],\n            [\n              -92.09117889404297,\n              46.986107836605754\n            ],\n            [\n              -92.08534240722656,\n              46.9910259453432\n            ],\n            [\n              -92.07366943359375,\n              46.991494313050424\n            ],\n            [\n              -92.07298278808594,\n              46.988918239867125\n            ],\n            [\n              -92.06371307373047,\n              46.99266521436125\n            ],\n            [\n              -92.05341339111328,\n              46.99477277207473\n            ],\n            [\n              -92.05032348632812,\n              46.99196267665314\n            ],\n            [\n              -92.04792022705078,\n              46.98962081759436\n            ],\n            [\n              -92.04036712646484,\n              46.992431036151324\n            ],\n            [\n              -92.0383071899414,\n              46.991260129709886\n            ],\n            [\n              -92.0376205444336,\n              46.98657624741072\n            ],\n            [\n              -92.03624725341797,\n              46.98212617904094\n            ],\n            [\n              -92.03624725341797,\n              46.98095504684829\n            ],\n            [\n              -92.0328140258789,\n              46.97673875853991\n            ],\n            [\n              -92.03350067138672,\n              46.97158506576047\n            ],\n            [\n              -92.03418731689453,\n              46.96221344278578\n            ],\n            [\n              -92.02766418457031,\n              46.953074529521054\n            ],\n            [\n              -92.01702117919922,\n              46.95377757826479\n            ],\n            [\n              -92.00672149658203,\n              46.952840177887346\n            ],\n            [\n              -92.00191497802734,\n              46.95049660510784\n            ],\n            [\n              -92.00191497802734,\n              46.945809151678894\n            ],\n            [\n              -92.00397491455078,\n              46.938777201852204\n            ],\n            [\n              -92.00603485107422,\n              46.93432315590575\n            ],\n            [\n              -92.00431823730469,\n              46.92658630082487\n            ],\n            [\n              -91.99230194091795,\n              46.912750956378915\n            ],\n            [\n              -91.99298858642577,\n              46.90594922325753\n            ],\n            [\n              -91.98062896728516,\n              46.898208270105194\n            ],\n            [\n              -91.9723892211914,\n              46.89398546092549\n            ],\n            [\n              -91.96792602539062,\n              46.88905842991827\n            ],\n            [\n              -91.9720458984375,\n              46.88436559861997\n            ],\n            [\n              -91.97616577148438,\n              46.87920300999955\n            ],\n            [\n              -91.97650909423828,\n              46.87286642681799\n            ],\n            [\n              -91.97959899902344,\n              46.869580496513265\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.22164154052734,\n              46.83811927106692\n            ],\n            [\n              -92.19451904296875,\n              46.83717984670198\n            ],\n            [\n              -92.19863891601562,\n              46.83318710992022\n            ],\n            [\n              -92.18524932861328,\n              46.82989875099465\n            ],\n            [\n              -92.18181610107422,\n              46.83577067935951\n            ],\n            [\n              -92.1756362915039,\n              46.8360055431495\n            ],\n            [\n              -92.17391967773438,\n              46.76714653871027\n            ],\n            [\n              -92.21134185791014,\n              46.76761686478674\n            ],\n            [\n              -92.2137451171875,\n              46.734684121690584\n            ],\n            [\n              -92.23880767822266,\n              46.734684121690584\n            ],\n            [\n              -92.2418975830078,\n              46.68124326260209\n            ],\n            [\n              -92.32189178466797,\n              46.68100772325949\n            ],\n            [\n              -92.32566833496094,\n              46.68430518061324\n            ],\n            [\n              -92.32738494873047,\n              46.68760243670695\n            ],\n            [\n              -92.3356246948242,\n              46.68713141244413\n            ],\n            [\n              -92.33940124511719,\n              46.69089949154197\n            ],\n            [\n              -92.34249114990234,\n              46.694667307773116\n            ],\n            [\n              -92.3459243774414,\n              46.69702205943147\n            ],\n            [\n              -92.35141754150389,\n              46.69961216765914\n            ],\n            [\n              -92.35862731933592,\n              46.70149580469662\n            ],\n            [\n              -92.35931396484374,\n              46.705027447019\n            ],\n            [\n              -92.35588073730469,\n              46.70691089512586\n            ],\n            [\n              -92.35862731933592,\n              46.70950052897342\n            ],\n            [\n              -92.35759735107422,\n              46.71538559839362\n            ],\n            [\n              -92.35107421874999,\n              46.719857821962364\n            ],\n            [\n              -92.34420776367188,\n              46.72291755083757\n            ],\n            [\n              -92.3345947265625,\n              46.72244683461266\n            ],\n            [\n              -92.32635498046875,\n              46.724329674870305\n            ],\n            [\n              -92.31948852539062,\n              46.722682193238484\n            ],\n            [\n              -92.30918884277344,\n              46.7231529074099\n            ],\n            [\n              -92.29854583740234,\n              46.72409432343172\n            ],\n            [\n              -92.28584289550781,\n              46.72174075257456\n            ],\n            [\n              -92.28137969970702,\n              46.71868095695999\n            ],\n            [\n              -92.27348327636717,\n              46.71679791956449\n            ],\n            [\n              -92.26593017578124,\n              46.71679791956449\n            ],\n            [\n              -92.25803375244139,\n              46.72127002608208\n            ],\n            [\n              -92.25391387939453,\n              46.729271817901456\n            ],\n            [\n              -92.2628402709961,\n              46.73350758011337\n            ],\n            [\n              -92.26524353027342,\n              46.737037127840416\n            ],\n            [\n              -92.27588653564453,\n              46.73915474559034\n            ],\n            [\n              -92.28343963623047,\n              46.740566444554545\n            ],\n            [\n              -92.2854995727539,\n              46.74362499884437\n            ],\n            [\n              -92.28378295898438,\n              46.74550709985597\n            ],\n            [\n              -92.27794647216797,\n              46.75021206490799\n            ],\n            [\n              -92.2745132446289,\n              46.75609269370741\n            ],\n            [\n              -92.27245330810547,\n              46.758209562992384\n            ],\n            [\n              -92.26490020751953,\n              46.76338378225934\n            ],\n            [\n              -92.26524353027342,\n              46.76644104189563\n            ],\n            [\n              -92.25666046142578,\n              46.765265193338\n            ],\n            [\n              -92.24910736083984,\n              46.77020358480152\n            ],\n            [\n              -92.2463607788086,\n              46.77255504065295\n            ],\n            [\n              -92.2353744506836,\n              46.77866834539762\n            ],\n            [\n              -92.2247314453125,\n              46.78313532151751\n            ],\n            [\n              -92.20996856689453,\n              46.784780956138846\n            ],\n            [\n              -92.20104217529297,\n              46.78948249215621\n            ],\n            [\n              -92.19280242919922,\n              46.79488875091874\n            ],\n            [\n              -92.2034454345703,\n              46.79841427927054\n            ],\n            [\n              -92.19623565673828,\n              46.80358463636565\n            ],\n            [\n              -92.20069885253906,\n              46.8082845298353\n            ],\n            [\n              -92.20893859863281,\n              46.81439377746013\n            ],\n            [\n              -92.21477508544922,\n              46.81744814104106\n            ],\n            [\n              -92.2195816040039,\n              46.822381746503396\n            ],\n            [\n              -92.21992492675781,\n              46.82872428833321\n            ],\n            [\n              -92.22301483154297,\n              46.833421985001785\n            ],\n            [\n              -92.22164154052734,\n              46.83811927106692\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c52a","contributors":{"authors":[{"text":"Fitzpatrick, Faith A. fafitzpa@usgs.gov","contributorId":1182,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","email":"fafitzpa@usgs.gov","middleInitial":"A.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":287632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peppler, Marie C. 0000-0002-1120-9673 mpeppler@usgs.gov","orcid":"https://orcid.org/0000-0002-1120-9673","contributorId":825,"corporation":false,"usgs":true,"family":"Peppler","given":"Marie","email":"mpeppler@usgs.gov","middleInitial":"C.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DePhilip, Michele M.","contributorId":85673,"corporation":false,"usgs":true,"family":"DePhilip","given":"Michele","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":287634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":287633,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":76690,"text":"sir20055284 - 2006 - Estimation of shallow ground-water recharge in the Great Lakes basin","interactions":[],"lastModifiedDate":"2017-01-20T12:45:10","indexId":"sir20055284","displayToPublicDate":"2006-05-04T00:00:00","publicationYear":"2006","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":"2005-5284","title":"Estimation of shallow ground-water recharge in the Great Lakes basin","docAbstract":"<p>This report presents the results of the first known integrated study of long-term average ground-water recharge to shallow aquifers (generally less than 100 feet deep) in the United States and Canada for the Great Lakes, upper St. Lawrence, and Ottawa River Basins. The approach used was consistent throughout the study area and allows direct comparison of recharge rates in disparate parts of the study area. Estimates of recharge are based on base-flow estimates for streams throughout the Great Lakes Basin and the assumption that base flow in a given stream is equal to the amount of shallow ground-water recharge to the surrounding watershed, minus losses to evapotranspiration. Base-flow estimates were developed throughout the study area using a single model based on an empirical relation between measured base-flow characteristics at streamflow-gaging stations and the surficial-geologic materials, which consist of bedrock, coarse-textured deposits, fine-textured deposits, till, and organic matter, in the surrounding surface-water watershed. Model calibration was performed using base-flow index (BFI) estimates for 959 stations in the U.S. and Canada using a combined 28,784 years of daily streamflow record determined using the hydrograph-separation software program PART. </p><p>Results are presented for watersheds represented by 8-digit hydrologic unit code (HUC, U.S.) and tertiary (Canada) watersheds. Recharge values were lowest (1.6-4.0 inches/year) in the eastern Lower Peninsula of Michigan; southwest of Green Bay, Wisconsin; in northwestern Ohio; and immediately south of the St. Lawrence River northeast of Lake Ontario. Recharge values were highest (12-16.8 inches/year) in snow shadow areas east and southeast of each Great Lake. Further studies of deep aquifer recharge and the temporal variability of recharge would be needed to gain a more complete understanding of ground-water recharge in the Great Lakes Basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055284","collaboration":"In cooperation with the National Water Research Institute, Environment Canada National Assessment of Water Availability and Use Program","usgsCitation":"Neff, B., Piggott, A., and Sheets, R.A., 2006, Estimation of shallow ground-water recharge in the Great Lakes basin: U.S. Geological Survey Scientific Investigations Report 2005-5284, vi, 20 p., https://doi.org/10.3133/sir20055284.","productDescription":"vi, 20 p.","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":190874,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7738,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5284/","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"Great Lakes Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.794921875,\n              44.98034238084973\n            ],\n            [\n              -75.0146484375,\n              44.41808794374846\n            ],\n            [\n              -74.55322265625,\n              44.32384807250689\n            ],\n            [\n              -74.42138671875,\n              44.040218713142146\n            ],\n            [\n              -73.54248046875,\n              43.78695837311561\n            ],\n            [\n              -73.2568359375,\n              43.30919109985686\n            ],\n            [\n              -73.98193359375,\n              42.79540065303723\n            ],\n            [\n              -74.81689453125,\n              42.58544425738491\n            ],\n            [\n              -75.5419921875,\n              42.22851735620852\n            ],\n            [\n              -76.79443359375,\n              42.049292638686836\n            ],\n            [\n              -77.36572265625,\n              42.049292638686836\n            ],\n            [\n              -78.02490234375,\n              42.032974332441405\n            ],\n            [\n              -79.1015625,\n              42.032974332441405\n            ],\n            [\n              -79.43115234375,\n              42.13082130188811\n            ],\n            [\n              -79.78271484375,\n              42.032974332441405\n            ],\n            [\n              -79.98046875,\n              41.85319643776675\n            ],\n            [\n              -80.33203125,\n              41.52502957323801\n            ],\n            [\n              -81.45263671875,\n              41.09591205639546\n            ],\n            [\n              -82.001953125,\n              40.88029480552824\n            ],\n            [\n              -82.6611328125,\n              40.763901280945866\n            ],\n            [\n              -83.29833984375,\n              40.713955826286046\n            ],\n            [\n              -83.95751953125,\n              40.713955826286046\n            ],\n            [\n              -84.57275390625,\n              40.697299008636755\n            ],\n            [\n              -85.10009765625,\n              40.78054143186033\n            ],\n            [\n              -85.60546875,\n              40.94671366508002\n            ],\n            [\n              -85.67138671875,\n              41.22824901518529\n            ],\n            [\n              -85.45166015624999,\n              41.409775832009565\n            ],\n            [\n              -86.0888671875,\n              41.50857729743935\n            ],\n            [\n              -86.19873046875,\n              41.72213058512578\n            ],\n            [\n              -86.50634765625,\n              41.80407814427234\n            ],\n            [\n              -87.099609375,\n              41.49212083968776\n            ],\n            [\n              -87.4072265625,\n              41.44272637767212\n            ],\n            [\n              -87.9345703125,\n              41.83682786072714\n            ],\n            [\n              -87.91259765625,\n              42.147114459220994\n            ],\n            [\n              -87.9345703125,\n              42.439674178149424\n            ],\n            [\n              -88.0224609375,\n              42.76314586689492\n            ],\n            [\n              -88.11035156249999,\n              43.03677585761058\n            ],\n            [\n              -88.22021484375,\n              43.34116005412307\n            ],\n            [\n              -88.4619140625,\n              43.6599240747891\n            ],\n            [\n              -88.61572265625,\n              43.691707903073805\n            ],\n            [\n              -89.01123046875,\n              43.58039085560784\n            ],\n            [\n              -89.53857421875,\n              43.54854811091286\n            ],\n            [\n              -89.80224609374999,\n              43.56447158721811\n            ],\n            [\n              -89.80224609374999,\n              43.8028187190472\n            ],\n            [\n              -89.736328125,\n              44.05601169578525\n            ],\n            [\n              -89.67041015625,\n              44.41808794374846\n            ],\n            [\n              -89.47265625,\n              44.793530904744074\n            ],\n            [\n              -89.296875,\n              45.02695045318546\n            ],\n            [\n              -89.05517578125,\n              45.182036837015886\n            ],\n            [\n              -89.033203125,\n              45.27488643704891\n            ],\n            [\n              -89.01123046875,\n              45.506346901083425\n            ],\n            [\n              -89.07714843749999,\n              46.08847179577592\n            ],\n            [\n              -89.69238281249999,\n              46.14939437647686\n            ],\n            [\n              -90.17578124999999,\n              46.14939437647686\n            ],\n            [\n              -90.54931640625,\n              46.14939437647686\n            ],\n            [\n              -91.03271484375,\n              46.118941506107056\n            ],\n            [\n              -91.4501953125,\n              46.118941506107056\n            ],\n            [\n              -91.62597656249999,\n              46.195042108660154\n            ],\n            [\n              -91.97753906249999,\n              46.17983040759436\n            ],\n            [\n              -92.30712890625,\n              46.22545288226939\n            ],\n            [\n              -92.59277343749999,\n              46.34692761055676\n            ],\n            [\n              -92.6806640625,\n              46.45299704748289\n            ],\n            [\n              -92.65869140625,\n              46.63435070293566\n            ],\n            [\n              -93.31787109374999,\n              46.86019101567027\n            ],\n            [\n              -93.36181640625,\n              47.040182144806664\n            ],\n            [\n              -93.40576171875,\n              47.27922900257082\n            ],\n            [\n              -93.22998046875,\n              47.44294999517949\n            ],\n            [\n              -92.87841796875,\n              47.54687159892238\n            ],\n            [\n              -92.57080078125,\n              47.60616304386874\n            ],\n            [\n              -92.43896484375,\n              47.78363463526376\n            ],\n            [\n              -92.08740234375,\n              47.754097979680026\n            ],\n            [\n              -91.86767578124999,\n              47.62097541515849\n            ],\n            [\n              -91.4501953125,\n              47.53203824675999\n            ],\n            [\n              -91.25244140624999,\n              47.5913464767971\n            ],\n            [\n              -91.0546875,\n              47.66538735632654\n            ],\n            [\n              -91.01074218749999,\n              47.88688085106901\n            ],\n            [\n              -90.81298828125,\n              48.03401915864286\n            ],\n            [\n              -90.59326171875,\n              48.1367666796927\n            ],\n            [\n              -90.3515625,\n              48.268569112964336\n            ],\n            [\n              -90.04394531249999,\n              48.3416461723746\n            ],\n            [\n              -90.17578124999999,\n              48.4146186174932\n            ],\n            [\n              -90.5712890625,\n              48.50204750525715\n            ],\n            [\n              -90.28564453124999,\n              48.60385760823255\n            ],\n            [\n              -89.8681640625,\n              48.58932584966975\n            ],\n            [\n              -90.04394531249999,\n              48.80686346108517\n            ],\n            [\n              -90.19775390625,\n              49.196064000723794\n            ],\n            [\n              -90.3955078125,\n              49.468124067331644\n            ],\n            [\n              -90.52734374999999,\n              49.937079756975294\n            ],\n            [\n              -90.4833984375,\n              50.21909462044748\n            ],\n            [\n              -89.912109375,\n              50.54136296522161\n            ],\n            [\n              -89.6044921875,\n              50.77815527465925\n            ],\n            [\n              -89.12109375,\n              50.83369767098071\n            ],\n            [\n              -88.08837890625,\n              50.83369767098071\n            ],\n            [\n              -87.4072265625,\n              50.819818262156545\n            ],\n            [\n              -87.275390625,\n              50.69471783819287\n            ],\n            [\n              -87.60498046875,\n              50.597186230587035\n            ],\n            [\n              -87.25341796875,\n              50.42951794712287\n            ],\n            [\n              -87.01171875,\n              50.064191736659104\n            ],\n            [\n              -86.8359375,\n              49.82380908513249\n            ],\n            [\n              -86.72607421875,\n              49.66762782262194\n            ],\n            [\n              -86.2646484375,\n              49.69606181911566\n            ],\n            [\n              -85.4296875,\n              49.53946900793534\n            ],\n            [\n              -84.88037109375,\n              49.38237278700955\n            ],\n            [\n              -84.638671875,\n              49.210420445650286\n            ],\n            [\n              -83.8916015625,\n              48.748945343432936\n            ],\n            [\n              -83.51806640624999,\n              48.50204750525715\n            ],\n            [\n              -83.25439453125,\n              48.25394114463431\n            ],\n            [\n              -83.07861328125,\n              48.03401915864286\n            ],\n            [\n              -82.265625,\n              47.78363463526376\n            ],\n            [\n              -81.80419921875,\n              47.66538735632654\n            ],\n            [\n              -81.45263671875,\n              47.5913464767971\n            ],\n            [\n              -81.27685546875,\n              47.85740289465826\n            ],\n            [\n              -81.0791015625,\n              48.19538740833338\n            ],\n            [\n              -80.85937499999999,\n              48.44377831058802\n            ],\n            [\n              -80.61767578124999,\n              48.61838518688487\n            ],\n            [\n              -79.98046875,\n              48.821332549646634\n            ],\n            [\n              -79.453125,\n              48.821332549646634\n            ],\n            [\n              -79.21142578125,\n              48.56024979174329\n            ],\n            [\n              -79.21142578125,\n              48.22467264956519\n            ],\n            [\n              -79.2333984375,\n              48.019324184801185\n            ],\n            [\n              -79.1455078125,\n              47.57652571374621\n            ],\n            [\n              -79.1455078125,\n              47.204642388766935\n            ],\n            [\n              -79.1015625,\n              46.99524110694593\n            ],\n            [\n              -78.90380859375,\n              46.66451741754235\n            ],\n            [\n              -78.7060546875,\n              46.42271253466717\n            ],\n            [\n              -78.486328125,\n              46.58906908309182\n            ],\n            [\n              -78.3984375,\n              46.84516443029276\n            ],\n            [\n              -78.06884765624999,\n              46.99524110694593\n            ],\n            [\n              -77.36572265625,\n              46.89023157359399\n            ],\n            [\n              -76.640625,\n              46.7549166192819\n            ],\n            [\n              -76.2890625,\n              46.604167162931844\n            ],\n            [\n              -75.9814453125,\n              46.17983040759436\n            ],\n            [\n              -75.52001953125,\n              45.96642454131025\n            ],\n            [\n              -75.03662109375,\n              46.07323062540835\n            ],\n            [\n              -74.37744140625,\n              46.164614496897094\n            ],\n            [\n              -73.95996093749999,\n              46.118941506107056\n            ],\n            [\n              -73.7841796875,\n              46.042735653846506\n            ],\n            [\n              -73.564453125,\n              45.89000815866184\n            ],\n            [\n              -73.5205078125,\n              45.62940492064501\n            ],\n            [\n              -73.7841796875,\n              45.38301927899065\n            ],\n            [\n              -74.2236328125,\n              45.27488643704891\n            ],\n            [\n              -74.794921875,\n              44.98034238084973\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c202","contributors":{"authors":[{"text":"Neff, B.P.","contributorId":92759,"corporation":false,"usgs":true,"family":"Neff","given":"B.P.","email":"","affiliations":[],"preferred":false,"id":287625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piggott, A.R.","contributorId":34600,"corporation":false,"usgs":true,"family":"Piggott","given":"A.R.","affiliations":[],"preferred":false,"id":287623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheets, R. A.","contributorId":43381,"corporation":false,"usgs":true,"family":"Sheets","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":287624,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":76688,"text":"sir20065024 - 2006 - Documentation of a spreadsheet for time-series analysis and drawdown estimation","interactions":[],"lastModifiedDate":"2012-03-08T17:16:20","indexId":"sir20065024","displayToPublicDate":"2006-05-04T00:00:00","publicationYear":"2006","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":"2006-5024","title":"Documentation of a spreadsheet for time-series analysis and drawdown estimation","docAbstract":"Drawdowns during aquifer tests can be obscured by barometric pressure changes, earth tides, regional pumping, and recharge events in the water-level record. These stresses can create water-level fluctuations that should be removed from observed water levels prior to estimating drawdowns. Simple models have been developed for estimating unpumped water levels during aquifer tests that are referred to as synthetic water levels. These models sum multiple time series such as barometric pressure, tidal potential, and background water levels to simulate non-pumping water levels. The amplitude and phase of each time series are adjusted so that synthetic water levels match measured water levels during periods unaffected by an aquifer test. Differences between synthetic and measured water levels are minimized with a sum-of-squares objective function. Root-mean-square errors during fitting and prediction periods were compared multiple times at four geographically diverse sites. Prediction error equaled fitting error when fitting periods were greater than or equal to four times prediction periods.\r\n\r\nThe proposed drawdown estimation approach has been implemented in a spreadsheet application. Measured time series are independent so that collection frequencies can differ and sampling times can be asynchronous. Time series can be viewed selectively and magnified easily. Fitting and prediction periods can be defined graphically or entered directly. Synthetic water levels for each observation well are created with earth tides, measured time series, moving averages of time series, and differences between measured and moving averages of time series. Selected series and fitting parameters for synthetic water levels are stored and drawdowns are estimated for prediction periods. Drawdowns can be viewed independently and adjusted visually if an anomaly skews initial drawdowns away from 0. The number of observations in a drawdown time series can be reduced by averaging across user-defined periods. Raw or reduced drawdown estimates can be copied from the spreadsheet application or written to tab-delimited ASCII files.","language":"ENGLISH","doi":"10.3133/sir20065024","usgsCitation":"Halford, K.J., 2006, Documentation of a spreadsheet for time-series analysis and drawdown estimation: U.S. Geological Survey Scientific Investigations Report 2006-5024, 48 p., https://doi.org/10.3133/sir20065024.","productDescription":"48 p.","numberOfPages":"48","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":192201,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7736,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5024/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a62e4b07f02db63621c","contributors":{"authors":[{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287621,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76691,"text":"ds178 - 2006 - Two-dimensional resistivity investigation along West Fork Trinity River, Naval Air Station-Joint Reserve Base Carswell Field, Fort Worth, Texas, October 2004","interactions":[],"lastModifiedDate":"2023-09-19T20:48:29.611729","indexId":"ds178","displayToPublicDate":"2006-05-04T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"178","title":"Two-dimensional resistivity investigation along West Fork Trinity River, Naval Air Station-Joint Reserve Base Carswell Field, Fort Worth, Texas, October 2004","docAbstract":"Naval Air Station-Joint Reserve Base Carswell Field (NAS-JRB) at Fort Worth, Tex., constitutes a government-owned, contractor-operated facility that has been in operation since 1942. Contaminants, primarily volatile organic compounds and metals, have entered the ground-water-flow system through leakage from waste-disposal sites and manufacturing processes. Ground water flows from west to east toward the West Fork Trinity River. During October 2004, the U.S. Geological Survey conducted a two-dimensional (2D) resistivity investigation at a site along the West Fork Trinity River at the eastern boundary of NAS-JRB to characterize the distribution of subsurface resistivity. Five 2D resistivity profiles were collected, which ranged from 500 to 750 feet long and extended to a depth of 25 feet. The Goodland Limestone and the underlying Walnut Formation form a confining unit that underlies the alluvial aquifer. The top of this confining unit is the top of bedrock at NAS-JRB. The bedrock confining unit is the zone of interest because of the potential for contaminated ground water to enter the West Fork Trinity River through saturated bedrock. The study involved a capacitively-coupled resistivity survey and inverse modeling to obtain true or actual resistivity from apparent resistivity. The apparent resistivity was processed using an inverse modeling software program. The results of this program were used to generate distributions (images) of actual resistivity referred to as inverted sections or profiles. The images along the five profiles show a wide range of resistivity values. The two profiles nearest the West Fork Trinity River generally showed less resistivity than the three other profiles.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds178","collaboration":"Prepared in cooperation with the U.S. Air Force, Aeronautical Systems Center, Environmental Management Directorate, Wright-Patterson Air Force Base, Ohio","usgsCitation":"Shah, S., and Stanton, G.P., 2006, Two-dimensional resistivity investigation along West Fork Trinity River, Naval Air Station-Joint Reserve Base Carswell Field, Fort Worth, Texas, October 2004: U.S. Geological Survey Data Series 178, iv, 24 p., https://doi.org/10.3133/ds178.","productDescription":"iv, 24 p.","numberOfPages":"31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":420955,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76486.htm","linkFileType":{"id":5,"text":"html"}},{"id":7739,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/ds178/","linkFileType":{"id":5,"text":"html"}},{"id":192620,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Texas","city":"Fort Worth","otherGeospatial":"Carswell Field, West Fork Trinity River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.42589950561523,\n              32.75638608388472\n            ],\n            [\n              -97.42589950561523,\n              32.80011749844536\n            ],\n            [\n              -97.40049362182617,\n              32.80011749844536\n            ],\n            [\n              -97.40049362182617,\n              32.75638608388472\n            ],\n            [\n              -97.42589950561523,\n              32.75638608388472\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699833","contributors":{"authors":[{"text":"Shah, Sachin D.","contributorId":60174,"corporation":false,"usgs":true,"family":"Shah","given":"Sachin D.","affiliations":[],"preferred":false,"id":287627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanton, Gregory P. 0000-0001-8622-0933 gstanton@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-0933","contributorId":1583,"corporation":false,"usgs":true,"family":"Stanton","given":"Gregory","email":"gstanton@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":287626,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76676,"text":"sir20055281 - 2006 - Sinkhole flooding in Murfreesboro, Rutherford County, Tennessee, 2001-02","interactions":[],"lastModifiedDate":"2012-02-02T00:14:17","indexId":"sir20055281","displayToPublicDate":"2006-05-02T00:00:00","publicationYear":"2006","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":"2005-5281","title":"Sinkhole flooding in Murfreesboro, Rutherford County, Tennessee, 2001-02","docAbstract":"The U.S. Geological Survey, in cooperation with the City of Murfreesboro, Tennessee, conducted an investigation from January 2001 through April 2002 to delineate sinkholes and sinkhole watersheds in the Murfreesboro area and to characterize the hydrologic response of sinkholes to major rainfall events. Terrain analysis was used to define sinkholes and delineate the sinkhole drainage areas. Flooding in 78 sinkholes in three focus areas was identified and tracked using aerial photography following three major storms in February 2001, January 2002, and March 2002. The three focus areas are located to the east, north, and northwest of Murfreesboro and are underlain primarily by the Ridley Limestone with some outcrops of the underlying Pierce Limestone.\r\n\r\nThe observed sinkhole flooding is controlled by water inflow, water outflow, and the degree of the hydraulic connection (connectivity) to a ground-water conduit system. The observed sinkholes in the focus areas are grouped into three categories based on the sinkhole morphology and the connectivity to the ground-water system as indicated by their response to flooding. The three types of sinkholes described for these focus areas are pan sinkholes with low connectivity, deep sinkholes with high connectivity, and deep sinkholes with low connectivity to the ground-water conduit system.\r\n\r\nShallow, broad pan sinkholes flood as water inflow from a storm inundates the depression at land surface. Water overflow from one pan sinkhole can flow downgradient and become inflow to a sinkhole at a lower altitude. Land-surface modifications that direct more water into a pan sinkhole could increase peak-flood altitudes and extend flood durations. Land-surface modifications that increase the outflow by overland drainage could decrease the flood durations. Road construction or alterations that reduce flow within or between pan sinkholes could result in increased flood durations.\r\n\r\nFlood levels and durations in the deeper sinkholes observed in the three focus areas are primarily affected by the connectivity with the ground-water conduit system. Deep sinkholes with a relatively high connectivity to the ground-water system fill quickly after a storm, and drain rapidly after the storm ends, and water levels decline as much as 3 to 5 feet per day in the first 2 to 3 days after a major storm. These sinkholes store the initial floodwater and then rapidly transmit water to the ground-water conduit system (high outflow). Land-surface changes that direct more water into the sinkhole may increase the flood peaks, but may not have a substantial effect on the flood durations.\r\n\r\nDeep sinkholes that have low connectivity to the ground-water conduit system may have a delayed peak water level and may drain slowly, only about 2 to 3 feet in 10 days. Outflow from these sinkholes is limited or restricted by low connectivity to the ground-water conduit system. Land-surface alterations that increase the inflow to the sinkholes can result in high flood levels or increased flood durations. ","language":"ENGLISH","doi":"10.3133/sir20055281","collaboration":"Although this report is in the public domain, permission must be secured from the individual copyright owners to reproduce any copyrighted materials contained within this report.","usgsCitation":"Bradley, M., and Hileman, G.E., 2006, Sinkhole flooding in Murfreesboro, Rutherford County, Tennessee, 2001-02: U.S. Geological Survey Scientific Investigations Report 2005-5281, vi, 38 p. : ill. (some col.), col. maps ; 28 cm., https://doi.org/10.3133/sir20055281.","productDescription":"vi, 38 p. : ill. (some col.), col. maps ; 28 cm.","numberOfPages":"44","temporalStart":"2001-01-01","temporalEnd":"2002-12-31","costCenters":[],"links":[{"id":194382,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7780,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5281/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f6e4b07f02db5f1983","contributors":{"authors":[{"text":"Bradley, Mike 0000-0002-2979-265X mbradley@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-265X","contributorId":582,"corporation":false,"usgs":true,"family":"Bradley","given":"Mike","email":"mbradley@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hileman, Gregg Edward","contributorId":60337,"corporation":false,"usgs":true,"family":"Hileman","given":"Gregg","email":"","middleInitial":"Edward","affiliations":[],"preferred":false,"id":287588,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176754,"text":"70176754 - 2006 - Applications of geophysical methods to volcano monitoring","interactions":[],"lastModifiedDate":"2018-06-12T15:55:20","indexId":"70176754","displayToPublicDate":"2006-05-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Applications of geophysical methods to volcano monitoring","docAbstract":"<div data-canvas-width=\"352.12399999999997\">The array of geophysical technologies used in volcano hazards studies - some developed originally only for volcano monitoring - ranges from satellite remote sensing including InSAR to leveling and EDM surveys, campaign and telemetered GPS networks, electronic tiltmeters and strainmeters, airborne magnetic and electromagnetic surveys, short-period and broadband seismic monitoring, even microphones tuned for infrasound. They include virtually every method used in resource exploration except large-scale seismic reflection. By “geophysical ” we include both active and passive methods as well as geodetic technologies. Volcano monitoring incorporates telemetry to handle high-bandwith cameras and broadband seismometers. Critical geophysical targets include the flux of magma in shallow reservoir and lava-tube systems, changes in active hydrothermal systems, volcanic edifice stability, and lahars. Since the eruption of Mount St. Helens in Washington State in 1980, and the eruption at Pu’u O’o in Hawai’i beginning in 1983 and still continuing, dramatic advances have occurred in monitoring technology such as “crisis GIS” and lahar modeling, InSAR interferograms, as well as gas emission geochemistry sampling, and hazards mapping and eruption predictions. The on-going eruption of Mount St. Helens has led to new monitoring technologies, including advances in broadband Wi-Fi and satellite telemetry as well as new instrumentation. Assessment of the gap between adequate monitoring and threat at the 169 potentially dangerous Holocene volcanoes shows where populations are dangerously exposed to volcanic catastrophes in the United States and its territories . This paper focuses primarily on Hawai’ian volcanoes and the northern Pacific and Cascades volcanoes. The US Geological Survey, the US National Park System, and the University of Utah cooperate in a program to monitor the huge Yellowstone volcanic system, and a separate observatory monitors the restive Long Valley caldera in collaboration with the US Forest Service.&nbsp;</div>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"19th Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP 2006): Geophysical applications for environmental and engineering hazards - Advances and constraints","conferenceTitle":"19th Symposium on the Application of Geophysics to Engineering and Environmental Problems","conferenceDate":"April 2-6, 2006","conferenceLocation":"Seattle, WA","language":"English","publisher":"Curran Associates Inc.","isbn":"9781622760657","usgsCitation":"Wynn, J., Dzurisin, D., Finn, C., Kauahikaua, J.P., and Lahusen, R.G., 2006, Applications of geophysical methods to volcano monitoring, <i>in</i> 19th Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP 2006): Geophysical applications for environmental and engineering hazards - Advances and constraints, v. 1, Seattle, WA, April 2-6, 2006, p. 174-183.","productDescription":"10 p.","startPage":"174","endPage":"183","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":329317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":329316,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.proceedings.com/15059.html"}],"volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe8d33e4b0824b2d14b0e7","contributors":{"authors":[{"text":"Wynn, Jeff 0000-0002-8102-3882 jwynn@usgs.gov","orcid":"https://orcid.org/0000-0002-8102-3882","contributorId":2803,"corporation":false,"usgs":true,"family":"Wynn","given":"Jeff","email":"jwynn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":650181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":650182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, Carol A. 0000-0002-6178-0405","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":205010,"corporation":false,"usgs":true,"family":"Finn","given":"Carol A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":650183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kauahikaua, James P. 0000-0003-3777-503X jimk@usgs.gov","orcid":"https://orcid.org/0000-0003-3777-503X","contributorId":2146,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"James","email":"jimk@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":650184,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lahusen, Richard G. rlahusen@usgs.gov","contributorId":535,"corporation":false,"usgs":true,"family":"Lahusen","given":"Richard","email":"rlahusen@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":650185,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70184344,"text":"70184344 - 2006 - Effects of spatially variable resolution on field-scale estimates of tracer concentration from electrical inversions using Archie's law","interactions":[],"lastModifiedDate":"2019-10-16T17:48:02","indexId":"70184344","displayToPublicDate":"2006-05-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Effects of spatially variable resolution on field-scale estimates of tracer concentration from electrical inversions using Archie's law","docAbstract":"<p><span>Two important mechanisms affect our ability to estimate solute concentrations quantitatively from the inversion of field-scale electrical resistivity tomography (ERT) data: (1) the spatially variable physical processes that govern the flow of current as well as the variation of physical properties in space and (2) the overparameterization of inverse models, which requires the imposition of a smoothing constraint (regularization) to facilitate convergence of the inverse solution. Based on analyses of field and synthetic data, we find that the ability of ERT to recover the 3D shape and magnitudes of a migrating conductive target is spatially variable. Additionally, the application of Archie's law to tomograms from field ERT data produced solute concentrations that are consistently less than 10% of point measurements collected in the field and estimated from transport modeling. Estimates of concentration from ERT using Archie's law only fit measured solute concentrations if the apparent formation factor is varied with space and time and allowed to take on unreasonably high values. Our analysis suggests that the inability to find a single petrophysical relation in space and time between concentration and electrical resistivity is largely an effect of two properties of ERT surveys: (1) decreased sensitivity of ERT to detect the target plume with increasing distance from the electrodes and (2) the smoothing imprint of regularization used in inversion.</span></p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.2194900","usgsCitation":"Singha, K., and Gorelick, S.M., 2006, Effects of spatially variable resolution on field-scale estimates of tracer concentration from electrical inversions using Archie's law: Geophysics, v. 71, no. 3, p. G83-G91, https://doi.org/10.1190/1.2194900.","productDescription":"9 p. ","startPage":"G83","endPage":"G91","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":336972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4fde4b014cc3a3ba527","contributors":{"authors":[{"text":"Singha, Kamini","contributorId":76733,"corporation":false,"usgs":true,"family":"Singha","given":"Kamini","affiliations":[],"preferred":false,"id":681078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorelick, Steven M.","contributorId":8784,"corporation":false,"usgs":true,"family":"Gorelick","given":"Steven","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":681079,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76669,"text":"sir20065027 - 2006 - Water resources of Carbon County, Wyoming","interactions":[],"lastModifiedDate":"2017-09-20T15:59:12","indexId":"sir20065027","displayToPublicDate":"2006-04-30T00:00:00","publicationYear":"2006","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":"2006-5027","title":"Water resources of Carbon County, Wyoming","docAbstract":"Carbon County is located in the south-central part of Wyoming and is the third largest county in the State. A study to describe the physical and chemical characteristics of surface-water and ground-water resources in Carbon County was conducted by the U.S. Geological Survey in cooperation with the Wyoming State Engineer's Office. Evaluations of streamflow and stream-water quality were limited to analyses of historical data and descriptions of previous investigations. Surface-water data were not collected as part of the study. Forty-five ground-water-quality samples were collected as part of the study and the results from an additional 618 historical ground-water-quality samples were reviewed. Available hydrogeologic characteristics for various aquifers in hydrogeologic units throughout the county also are described.\r\n\r\nFlow characteristics of streams in Carbon County vary substantially depending on regional and local basin char-acteristics and anthropogenic factors. Precipitation in the county is variable with high mountainous areas receiving several times the annual precipitation of basin lowland areas. For this reason, streams with headwaters in mountainous areas generally are perennial, whereas most streams in the county with headwaters in basin lowland areas are ephemeral, flowing only as a result of regional or local rainfall or snowmelt runoff. Flow characteristics of most perennial streams are altered substantially by diversions and regulation.\r\n\r\nWater-quality characteristics of selected streams in and near Carbon County during water years 1966 through 1986 varied. Concentrations of dissolved constituents and suspended sediment were smallest at sites on streams with headwaters in mountainous areas because of resistant geologic units, large diluting streamflows, and increased vegetative cover compared to sites on streams with headwaters in basin lowlands.\r\n\r\nBoth water-table and artesian conditions occur in aquifers within the county. Shallow ground water is available throughout the county, although much of it is only marginally suitable or is unsuitable for domestic and irrigation uses mainly because of high total dissolved solids (TDS) concentrations. Suitable ground water for livestock use is available in most areas of the county. Ground-water quality tends to deteriorate with increasing distance from recharge areas and with increasing depth below land surface. Ground water from depths greater than a few thousand feet tends to have TDS concentrations that make it moderately saline to briny. In some areas, even shallow ground water is moderately saline. Specific constituents in parts of some aquifers in the county occur in relatively high concentrations when compared to U.S. Environmental Protection Agency drinking-water standards; for example, relatively high concentrations of sulfate, chloride, fluoride, boron, iron, manganese, and radon were found in several aquifers.\r\n\r\nThe estimated mean daily water use in Carbon County in 2000 was about 320 million gallons per day. Water used for irrigation accounted for about 98 percent of this total. About 98 percent of the total water used was supplied by surface water and about 2 percent by ground water. Excluding irrigation, ground water comprised about 78 percent of total water use in Carbon County. Although ground water is used to a much lesser extent than surface water, in many areas of the county it is the only available water source.","language":"ENGLISH","doi":"10.3133/sir20065027","usgsCitation":"Bartos, T.T., Hallberg, L.L., Mason, J., Norris, J.R., and Miller, K.A., 2006, Water resources of Carbon County, Wyoming: U.S. Geological Survey Scientific Investigations Report 2006-5027, ix, 191 p., https://doi.org/10.3133/sir20065027.","productDescription":"ix, 191 p.","numberOfPages":"200","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":7720,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5027/","linkFileType":{"id":5,"text":"html"}},{"id":194897,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108,41 ], [ -108,42.833333333333336 ], [ -106,42.833333333333336 ], [ -106,41 ], [ -108,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f8e4b07f02db5f2bd9","contributors":{"authors":[{"text":"Bartos, Timothy T. 0000-0003-1803-4375 ttbartos@usgs.gov","orcid":"https://orcid.org/0000-0003-1803-4375","contributorId":1826,"corporation":false,"usgs":true,"family":"Bartos","given":"Timothy","email":"ttbartos@usgs.gov","middleInitial":"T.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":287566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hallberg, Laura L. 0000-0001-9983-8003 lhallber@usgs.gov","orcid":"https://orcid.org/0000-0001-9983-8003","contributorId":1825,"corporation":false,"usgs":true,"family":"Hallberg","given":"Laura","email":"lhallber@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mason, Jon P.","contributorId":26758,"corporation":false,"usgs":true,"family":"Mason","given":"Jon P.","affiliations":[],"preferred":false,"id":287568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norris, Jodi R.","contributorId":43746,"corporation":false,"usgs":true,"family":"Norris","given":"Jodi","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":287569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Kirk A. 0000-0002-8141-2001 kmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-8141-2001","contributorId":3959,"corporation":false,"usgs":true,"family":"Miller","given":"Kirk","email":"kmiller@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287567,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":76674,"text":"sir20065016 - 2006 - Suspended-sediment yields and stream-channel processes on Judy's Branch watershed in the St. Louis Metro East region in Illinois","interactions":[],"lastModifiedDate":"2012-03-08T17:16:23","indexId":"sir20065016","displayToPublicDate":"2006-04-30T00:00:00","publicationYear":"2006","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":"2006-5016","title":"Suspended-sediment yields and stream-channel processes on Judy's Branch watershed in the St. Louis Metro East region in Illinois","docAbstract":"Judy's Branch watershed, a small basin (8.64 square miles) in the St. Louis Metro East region in Illinois, was selected as a pilot site to determine suspended-sediment yields and stream-channel processes in the bluffs and American Bottoms (expansive low-lying valley floor in the region). Suspended-sediment and stream-chan-nel data collected and analyzed for Judy's Branch watershed are presented in this report to establish a baseline of data for water-resource managers to evaluate future stream rehabilitation and manage-ment alternatives. The sediment yield analysis determines the amount of sediment being delivered from the watershed and two subwatersheds: an urban tributary and an undeveloped headwater (pri-marily agricultural). The analysis of the subwater-sheds is used to compare the effects of urbanization on sediment yield to the river. The stream-channel contribution to sediment yield was determined by evaluation of the stream-channel processes operat-ing on the streambed and banks of Judy's Branch watershed. Bank stability was related to hydrologic events, bank stratigraphy, and channel geometry through model development and simulation.\r\n\r\nThe average suspended-sediment yield from two upland subwatersheds (drainage areas of 0.23 and 0.40 sq.mi. was 1,163 tons per square mile per year (tons/sq.mi.-year) between July 2000 and June 2004. The suspended-sediment yield at the Route 157 station was 2,523 tons/sq.mi.-year, near the outlet of Judy's Branch watershed (drainage area = 8.33 sq.mi.). This is approximately 1,360 tons/sq.mi.-year greater than the average at the upland stations for the same time period. This result is unexpected in that, generally, the suspended-sediment yield decreases as the watershed area increases because of sediment stored in the channel and flood plain. The difference indicates a possible increase in yield from a source, such as bank retreat, and supports the concept that land-use changes increase stream-flows that may in turn result in higher rates of bank retreat. Utilizing both bank-rod data and resurveyed cross-section data, it was determined that approxi-mately half of the suspended- sediment yield at Route 157 during July 2000-June 2004 came from bank retreat.\r\n\r\nGiven that bank retreat can be a substantial portion of the sediment yield, understanding bank stability processes is important. Bank stability can be assessed mathematically by computing the factor of safety, which is defined by the ratio of the shear strength (resisting force) along the failure surface and the shear stress (driving gravitational force). Once the factor of safety falls below one, the bank theoretically becomes unstable. Bank-stability conditions were related to hydrologic events, bank type, and channel geometry through model develop-ment and simulation. The most common type of bank in the watershed consists of cohesive alluvial soil deposits overlying a stiff glacial till. A stabil-ity chart for different bank types was developed using a bank-stability analysis. Banks steeper than 70 degrees and higher than from 10 to 11.5 feet (depending on bank type) become at risk for mass failure in the watershed under conditions that pro-mote saturation of the bank and a sudden drop in the river level. ","language":"ENGLISH","doi":"10.3133/sir20065016","usgsCitation":"Straub, T., Johnson, G.P., Roseboom, D., and Sierra, C.R., 2006, Suspended-sediment yields and stream-channel processes on Judy's Branch watershed in the St. Louis Metro East region in Illinois: U.S. Geological Survey Scientific Investigations Report 2006-5016, 51 p., https://doi.org/10.3133/sir20065016.","productDescription":"51 p.","numberOfPages":"51","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":194437,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7727,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5016/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90,39 ], [ -90,39.333333333333336 ], [ -90.5,39.333333333333336 ], [ -90.5,39 ], [ -90,39 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db68803c","contributors":{"authors":[{"text":"Straub, Timothy D. 0000-0002-5896-0851 tdstraub@usgs.gov","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":2273,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy D.","email":"tdstraub@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":287580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Gary P. 0000-0003-0363-9873 gjohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-0363-9873","contributorId":2959,"corporation":false,"usgs":true,"family":"Johnson","given":"Gary","email":"gjohnson@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":287581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseboom, Donald P.","contributorId":94747,"corporation":false,"usgs":true,"family":"Roseboom","given":"Donald P.","affiliations":[],"preferred":false,"id":287583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sierra, Carlos R.","contributorId":9365,"corporation":false,"usgs":true,"family":"Sierra","given":"Carlos","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":287582,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":76673,"text":"sir20055270 - 2006 - Continuous hydrologic simulation and flood-frequency, hydraulic, and flood-hazard analysis of the Blackberry Creek watershed, Kane County, Illinois","interactions":[],"lastModifiedDate":"2012-03-08T17:16:23","indexId":"sir20055270","displayToPublicDate":"2006-04-30T00:00:00","publicationYear":"2006","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":"2005-5270","title":"Continuous hydrologic simulation and flood-frequency, hydraulic, and flood-hazard analysis of the Blackberry Creek watershed, Kane County, Illinois","docAbstract":"Results of hydrologic model, flood-frequency, hydraulic model, and flood-hazard analysis of the Blackberry Creek watershed in Kane County, Illinois, indicate that the 100-year and 500-year flood plains range from approximately 25 acres in the tributary F watershed (a headwater subbasin at the northeastern corner of the watershed) to almost 1,800 acres in Blackberry Creek main stem. Based on 1996 land-cover data, most of the land in the 100-year and 500-year flood plains was cropland, forested and wooded land, and grassland. A relatively small percentage of urban land was in the flood plains.\r\n\r\nThe Blackberry Creek watershed has undergone rapid urbanization in recent decades. The population and urbanized lands in the watershed are projected to double from the 1990 condition by 2020. Recently, flood-induced damage has occurred more frequently in urbanized areas of the watershed. There are concerns about the effect of urbanization on flood peaks and volumes, future flood-mitigation plans, and potential effects on the water quality and stream habitats. This report describes the procedures used in developing the hydrologic models, estimating the flood-peak discharge magnitudes and recurrence intervals for flood-hazard analysis, developing the hydraulic model, and the results of the analysis in graphical and tabular form.\r\n\r\nThe hydrologic model, Hydrological Simulation Program-FORTRAN (HSPF), was used to perform the simulation of continuous water movements through various patterns of land uses in the watershed. Flood-frequency analysis was applied to an annual maximum series to determine flood quantiles in subbasins for flood-hazard analysis. The Hydrologic Engineering Center-River Analysis System (HEC-RAS) hydraulic model was used to determine the 100-year and 500-year flood elevations, and to determine the 100-year floodway. The hydraulic model was calibrated and verified using high water marks and observed inundation maps for the July 17-18, 1996, flood event. Digital maps of the 100-year and 500-year flood plains and the 100-year floodway for each tributary and the main stem of Blackberry Creek were compiled.","language":"ENGLISH","doi":"10.3133/sir20055270","usgsCitation":"Soong, D., Straub, T., and Murphy, E., 2006, Continuous hydrologic simulation and flood-frequency, hydraulic, and flood-hazard analysis of the Blackberry Creek watershed, Kane County, Illinois: U.S. Geological Survey Scientific Investigations Report 2005-5270, 78 p.; 1 map plate, 38 x 42 in.; 1 CD-ROM, https://doi.org/10.3133/sir20055270.","productDescription":"78 p.; 1 map plate, 38 x 42 in.; 1 CD-ROM","numberOfPages":"78","additionalOnlineFiles":"Y","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":194436,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7725,"rank":9999,"type":{"id":21,"text":"Referenced Work"},"url":"https://pubs.usgs.gov/sir/2005/5270/pdf/hydraulictable.pdf","size":"1280","linkFileType":{"id":1,"text":"pdf"}},{"id":7726,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2005/5270/pdf/plate.pdf","size":"160000","linkFileType":{"id":1,"text":"pdf"}},{"id":7724,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5270/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89,41 ], [ -89,42 ], [ -88,42 ], [ -88,41 ], [ -89,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db689cba","contributors":{"authors":[{"text":"Soong, David T.","contributorId":87487,"corporation":false,"usgs":true,"family":"Soong","given":"David T.","affiliations":[],"preferred":false,"id":287579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Straub, Timothy D. 0000-0002-5896-0851 tdstraub@usgs.gov","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":2273,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy D.","email":"tdstraub@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":287577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":287578,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":76664,"text":"ofr20061043 - 2006 - Chlorophyll a and inorganic suspended solids in backwaters of the upper Mississippi River system: Backwater lake effects and their associations with selected environmental predictors","interactions":[],"lastModifiedDate":"2012-02-02T00:14:23","indexId":"ofr20061043","displayToPublicDate":"2006-04-28T00:00:00","publicationYear":"2006","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":"2006-1043","title":"Chlorophyll a and inorganic suspended solids in backwaters of the upper Mississippi River system: Backwater lake effects and their associations with selected environmental predictors","docAbstract":"The Long Term Resource Monitoring Program (LTRMP) uses a stratified random sampling design to obtain water quality statistics within selected study reaches of the Upper Mississippi River System (UMRS). LTRMP sampling strata are based on aquatic area types generally found in large rivers (e.g., main channel, side channel, backwater, and impounded areas). For hydrologically well-mixed strata (i.e., main channel), variance associated with spatial scales smaller than the strata scale is a relatively minor issue for many water quality parameters. However, analysis of LTRMP water quality data has shown that within-strata variability at the strata scale is high in off-channel areas (i.e., backwaters). A portion of that variability may be associated with differences among individual backwater lakes (i.e., small and large backwater regions separated by channels) that cumulatively make up the backwater stratum. The objective of the statistical modeling presented here is to determine if differences among backwater lakes account for a large portion of the variance observed in the backwater stratum for selected parameters. If variance associated with backwater lakes is high, then inclusion of backwater lake effects within statistical models is warranted. Further, lakes themselves may represent natural experimental units where associations of interest to management may be estimated.","language":"ENGLISH","doi":"10.3133/ofr20061043","collaboration":"Product of the Long Term Resource Monitoring Program","usgsCitation":"Rogala, J.T., and Gray, B.R., 2006, Chlorophyll a and inorganic suspended solids in backwaters of the upper Mississippi River system: Backwater lake effects and their associations with selected environmental predictors: U.S. Geological Survey Open-File Report 2006-1043, 2 p.: ill., https://doi.org/10.3133/ofr20061043.","productDescription":"2 p.: ill.","startPage":"0","endPage":"2","numberOfPages":"2","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":195696,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7714,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1043/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dde4b07f02db5e252c","contributors":{"authors":[{"text":"Rogala, James T. 0000-0002-1954-4097 jrogala@usgs.gov","orcid":"https://orcid.org/0000-0002-1954-4097","contributorId":2651,"corporation":false,"usgs":true,"family":"Rogala","given":"James","email":"jrogala@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":287553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":287552,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76659,"text":"ofr20061017 - 2006 - Earthquakes in Virginia and vicinity 1774 - 2004","interactions":[],"lastModifiedDate":"2022-05-19T21:23:57.57588","indexId":"ofr20061017","displayToPublicDate":"2006-04-28T00:00:00","publicationYear":"2006","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":"2006-1017","title":"Earthquakes in Virginia and vicinity 1774 - 2004","docAbstract":"This map summarizes two and a third centuries of earthquake activity. The seismic history consists of letters, journals, diaries, and newspaper and scholarly articles that supplement seismograph recordings (seismograms) dating from the early twentieth century to the present. All of the pre-instrumental (historical) earthquakes were large enough to be felt by people or to cause shaking damage to buildings and their contents. Later, widespread use of seismographs meant that tremors too small or distant to be felt could be detected and accurately located.\r\n\r\nEarthquakes are a legitimate concern in Virginia and parts of adjacent States. Moderate earthquakes cause slight local damage somewhere in the map area about twice a decade on the average. Additionally, many buildings in the map area were constructed before earthquake protection was added to local building codes. The large map shows all historical and instrumentally located earthquakes from 1774 through 2004.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061017","usgsCitation":"Tarr, A.C., and Wheeler, R.L., 2006, Earthquakes in Virginia and vicinity 1774 - 2004 (Version 1.0): U.S. Geological Survey Open-File Report 2006-1017, 1 Plate: 48 x 36 inches; Downloads Directory, https://doi.org/10.3133/ofr20061017.","productDescription":"1 Plate: 48 x 36 inches; Downloads Directory","onlineOnly":"Y","temporalStart":"1774-01-01","temporalEnd":"2004-12-31","costCenters":[],"links":[{"id":191155,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7706,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1017/","linkFileType":{"id":5,"text":"html"}},{"id":400837,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76420.htm"}],"scale":"1000000","projection":"Albers equal area conic","country":"United States","state":"Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84,\n              36\n            ],\n            [\n              -75,\n              36\n            ],\n            [\n              -75,\n              40\n            ],\n            [\n              -84,\n              40\n            ],\n            [\n              -84,\n              36\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db6296f3","contributors":{"authors":[{"text":"Tarr, Arthur C. atarr@usgs.gov","contributorId":1925,"corporation":false,"usgs":true,"family":"Tarr","given":"Arthur","email":"atarr@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":287534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wheeler, Russell L. wheeler@usgs.gov","contributorId":858,"corporation":false,"usgs":true,"family":"Wheeler","given":"Russell","email":"wheeler@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":287533,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76662,"text":"sir20065091 - 2006 - Interactive effects of dissolved zinc and orthophosphate on phytoplankton from Coeur d'Alene Lake, Idaho","interactions":[],"lastModifiedDate":"2020-01-26T12:02:38","indexId":"sir20065091","displayToPublicDate":"2006-04-28T00:00:00","publicationYear":"2006","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":"2006-5091","title":"Interactive effects of dissolved zinc and orthophosphate on phytoplankton from Coeur d'Alene Lake, Idaho","docAbstract":"Within the longitudinal chemical-concentration gradient in Coeur d'Alene Lake, generated by inputs from the St. Joe and Coeur d'Alene Rivers, two dominant algal species, Chlorella minutissima and Asterionella formosa, were isolated and cultured in chemically defined media to examine growth response to a range of dissolved orthophosphate concentrations and zinc-ion activities representative of the region within- and up-gradient of the Coeur d'Alene River inlet to the lake. Although zinc is an essential micronutrient, the toxicity of algal species to elevated concentrations of uncomplexed zinc has been demonstrated, and affects the metabolism of phosphorus (Kuwabara, 1985a; Kuwabara and others, 1986), the limiting nutrient in the lake. This interaction between solutes could be of management interest. As an extension of field work conducted in August, 1999 (Kuwabara and others, 2003b), the water column and benthos of Coeur d'Alene Lake were sampled in August 2001, June 2004 and June 2005 (Fig. 1; Table 1) to provide the biological characterization in terms of phytoplankton community composition, benthic macroinvertebrate community composition and benthic chlorophyll concentrations, as well as chemical characterizations at six sites (three depths per site) within the lake. This work, in support of the Idaho Department of Environmental Quality and regional tribal organizations, provides the first phytoplankton response models in a format that may be incorporated into a process-interdependent water-quality model like CAEDYM (Fig. 2; Brookes and others, 2004; Centre for Water Research, 2006) as a management tool for the lake.\r\n\r\nThis study provides information in support of developing process-interdependent solute-transport models for the watershed (that is, models integrating physical, geochemical and biological processes), and hence in support of subsequent evaluation of remediation or load-allocation strategies. The following two questions are posed: Are dissolved zinc and orthophosphate concentrations interactively associated with growth parameters of dominant phytoplankton species within the longitudinal concentration gradient of Coeur d'Alene Lake? If so, can these interactions be quantitatively incorporated into a water-quality model for the lake?","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20065091","usgsCitation":"Kuwabara, J.S., Topping, B.R., Woods, P.F., Carter, J.L., and Hager, S.W., 2006, Interactive effects of dissolved zinc and orthophosphate on phytoplankton from Coeur d'Alene Lake, Idaho: U.S. Geological Survey Scientific Investigations Report 2006-5091, 47 p., https://doi.org/10.3133/sir20065091.","productDescription":"47 p.","numberOfPages":"47","onlineOnly":"Y","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":633,"text":"Water Resources National Research Program","active":false,"usgs":true}],"links":[{"id":191202,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7710,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5091/","linkFileType":{"id":5,"text":"html"}},{"id":7711,"rank":9999,"type":{"id":18,"text":"Project Site"},"url":"https://wwwrcamnl.wr.usgs.gov/solutetransport/index.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","otherGeospatial":"Coeur d'Alene Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.97418212890625,\n              47.301584511330795\n            ],\n            [\n              -116.5869140625,\n              47.301584511330795\n            ],\n            [\n              -116.5869140625,\n              47.73562905149295\n            ],\n            [\n              -116.97418212890625,\n              47.73562905149295\n            ],\n            [\n              -116.97418212890625,\n              47.301584511330795\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dbe4b07f02db5e0d67","contributors":{"authors":[{"text":"Kuwabara, James S. 0000-0003-2502-1601 kuwabara@usgs.gov","orcid":"https://orcid.org/0000-0003-2502-1601","contributorId":3374,"corporation":false,"usgs":true,"family":"Kuwabara","given":"James","email":"kuwabara@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":287546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, Brent R. 0000-0002-7887-4221 btopping@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-4221","contributorId":1484,"corporation":false,"usgs":true,"family":"Topping","given":"Brent","email":"btopping@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":287544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woods, Paul F.","contributorId":82273,"corporation":false,"usgs":true,"family":"Woods","given":"Paul","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":287548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, James L. 0000-0002-0104-9776 jlcarter@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-9776","contributorId":3278,"corporation":false,"usgs":true,"family":"Carter","given":"James","email":"jlcarter@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":287545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hager, Stephen W.","contributorId":48935,"corporation":false,"usgs":true,"family":"Hager","given":"Stephen","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":287547,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":76665,"text":"ofr20061086 - 2006 - EMMMA: A web-based system for environmental mercury mapping, modeling, and analysis","interactions":[],"lastModifiedDate":"2012-04-15T17:28:14","indexId":"ofr20061086","displayToPublicDate":"2006-04-28T00:00:00","publicationYear":"2006","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":"2006-1086","title":"EMMMA: A web-based system for environmental mercury mapping, modeling, and analysis","docAbstract":"Mercury in our environment - in our air, water, soil, and especially our food - poses significant hazards to human health, particularly for developing fetuses and young children. Because of the importance of this issue and the length of time it has been studied, large and complex data sets of mercury concentrations in various media and associated ancillary data have been generated by many Federal, State, Tribal, and local agencies. To facilitate efficient and effective use of these\ndata in managing and mitigating human and wildlife exposure to mercury, the U.S. Geological Survey (USGS) and the National Institute of Environmental Health Sciences have developed a website for visualizing and studying the distribution of mercury in our environment. The Environmental Mercury Mapping, Modeling, and Analysis (EMMMA) website (http://emmma.usgs.gov) provides health and environmental researchers, managers, and other decision-makers the ability to: 1) Interactively view and access a nationwide collection of environmental mercury data (fish\ntissue, atmospheric emissions and deposition, stream sediments, soils, and coal) and mercuryrelated data (mine locations); 2) Interactively view and access predictions of the National Descriptive Model of Mercury in Fish (NDMMF) at 4,976 sites and 6,829 sampling events (events are unique combinations of site and sampling date) across the United States; and 3) Use interactive mapping and graphing capabilities to visualize spatial and temporal trends and study relationships between mercury and other variables.","language":"ENGLISH","doi":"10.3133/ofr20061086","usgsCitation":"Hearn, Wente, S.P., Donato, D.I., and Aguinaldo, J.J., 2006, EMMMA: A web-based system for environmental mercury mapping, modeling, and analysis: U.S. Geological Survey Open-File Report 2006-1086, 17 p., https://doi.org/10.3133/ofr20061086.","productDescription":"17 p.","numberOfPages":"17","costCenters":[{"id":247,"text":"Eastern Region Geography","active":false,"usgs":true}],"links":[{"id":191252,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7715,"rank":300,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1086/","size":"150000","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c30c","contributors":{"authors":[{"text":"Hearn, Jr. phearn@usgs.gov","contributorId":1950,"corporation":false,"usgs":true,"family":"Hearn","suffix":"Jr.","email":"phearn@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":287554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wente, Stephen P.","contributorId":75226,"corporation":false,"usgs":true,"family":"Wente","given":"Stephen","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":287557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donato, David I. 0000-0002-5412-0249 didonato@usgs.gov","orcid":"https://orcid.org/0000-0002-5412-0249","contributorId":2234,"corporation":false,"usgs":true,"family":"Donato","given":"David","email":"didonato@usgs.gov","middleInitial":"I.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":287555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aguinaldo, John J.","contributorId":73287,"corporation":false,"usgs":true,"family":"Aguinaldo","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":287556,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":76643,"text":"sir20065003 - 2006 - Analysis of ambient conditions and simulation of hydrodynamics and water-quality characteristics in Beaver Lake, Arkansas, 2001 through 2003","interactions":[],"lastModifiedDate":"2012-02-10T00:11:41","indexId":"sir20065003","displayToPublicDate":"2006-04-26T00:00:00","publicationYear":"2006","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":"2006-5003","title":"Analysis of ambient conditions and simulation of hydrodynamics and water-quality characteristics in Beaver Lake, Arkansas, 2001 through 2003","docAbstract":"Beaver Lake is a large, deep-storage reservoir located in the upper White River Basin in northwestern Arkansas. The purpose of this report is to describe the ambient hydrologic and water-quality conditions in Beaver Lake and its inflows and describe a two-dimensional model developed to simulate the hydrodynamics and water quality of Beaver Lake from 2001 through 2003.\r\n\r\nWater-quality samples were collected at the three main inflows to Beaver Lake; the White River near Fayetteville, Richland Creek at Goshen, and War Eagle Creek near Hindsville. Nutrient concentrations varied among the tributaries because of land use and contributions of nutrients from point sources. The median concentrations of total ammonia plus organic nitrogen were greater for the White River than Richland and War Eagle Creeks. The greatest concentrations of nitrite plus nitrate and total nitrogen, however, were observed at War Eagle Creek. Phosphorus concentrations were relatively low, with orthophosphorus and dissolved phosphorus concentrations mostly below the laboratory reporting limit at the three sites. War Eagle Creek had significantly greater median orthophosphorus and total phosphorus concentrations than the White River and Richland Creek. Dissolved organic-carbon concentrations were significantly greater at the White River than at War Eagle and Richland Creeks. The White River also had significantly greater turbidity than War Eagle Creek and Richland Creek.\r\n\r\nThe temperature distribution in Beaver Lake exhibits the typical seasonal cycle of lakes and reservoirs located within similar latitudes. Beaver Lake is a monomictic system, in which thermal stratification occurs annually during the summer and fall and complete mixing occurs in the winter. Isothermal conditions exist throughout the winter and early spring.\r\n\r\nNitrogen concentrations varied temporally, longitudinally, and vertically in Beaver Lake for 2001 through 2003. Nitrite plus nitrate concentrations generally decreased from the upstream portion of Beaver Lake to the downstream portion and generally were greater in the hypolimnion. Total ammonia plus organic nitrogen concentrations also decreased from the upstream end of Beaver Lake to the downstream end and were substantially greater in the hypolimnion of Beaver Lake. Phosphorus concentrations mostly were near or below laboratory detection limits in the epilimnion and metalimnion in Beaver Lake and were substantially greater in the hypolimnion in the upstream and middle parts of the reservoir. Measured total and dissolved organic carbon in Beaver Lake was relatively uniform spatially, longitudinally, and vertically in the reservoir from January 2001 through December 2003. Chlorophyll a concentrations measured at sites in the upstream portion of the lake were significantly greater than at the other sites in the downstream portion of Beaver Lake.\r\n\r\nDuring the study period, water clarity in Beaver Lake was significantly greater at the downstream end of the reservoir than at the upstream end. The greatest Secchi depths at the downstream end of the reservoir generally were observed in 2001 compared to 2002 and 2003, but did not have a seasonal pattern as observed at sites in the middle and upstream portion of the reservoir. Similar to Secchi depth results, turbidity results indicated greater water clarity in the downstream portion of Beaver Lake compared to the upstream portion. Turbidity also was greater in the hypolimnion than in the epilimnion in the reservoir during the stratification season.\r\n\r\nA two-dimensional, laterally averaged, hydrodynamic, and water-quality model using CE-QUAL-W2 Version 3.1 was developed for Beaver Lake and calibrated based on vertical profiles of temperature and dissolved oxygen, and water-quality constituent concentrations collected at various depths at four sites in the reservoir from April 2001 to April 2003. Simulated temperatures and dissolved-oxygen concentrations compared reasonably well with measured t","language":"ENGLISH","doi":"10.3133/sir20065003","usgsCitation":"Galloway, J.M., and Green, W.R., 2006, Analysis of ambient conditions and simulation of hydrodynamics and water-quality characteristics in Beaver Lake, Arkansas, 2001 through 2003: U.S. Geological Survey Scientific Investigations Report 2006-5003, 64 p., https://doi.org/10.3133/sir20065003.","productDescription":"64 p.","numberOfPages":"64","temporalStart":"2001-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":190935,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7689,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5003/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94,35 ], [ -94,36.6 ], [ -93.66666666666667,36.6 ], [ -93.66666666666667,35 ], [ -94,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad0e4b07f02db680a48","contributors":{"authors":[{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, W. Reed","contributorId":87886,"corporation":false,"usgs":true,"family":"Green","given":"W.","email":"","middleInitial":"Reed","affiliations":[],"preferred":false,"id":287485,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76633,"text":"tm6A15 - 2006 - Use of the Multi-Node Well (MNW) package when simulating solute transport with the MODFLOW ground-water transport process","interactions":[],"lastModifiedDate":"2020-01-26T12:12:09","indexId":"tm6A15","displayToPublicDate":"2006-04-25T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A15","title":"Use of the Multi-Node Well (MNW) package when simulating solute transport with the MODFLOW ground-water transport process","docAbstract":"This report describes modifications to a U.S. Geological Survey (USGS) three-dimensional solute-transport model (MODFLOW-GWT), which is incorporated into the USGS MODFLOW ground-water model as the Ground-Water Transport (GWT) Process. The modifications were made to create compatibility between the Multi-Node Well (MNW) Package for MODFLOW and the MODFLOW-GWT model. This compatibility improves the capability of MODFLOW-GWT to represent accurately solute transport in simulations that include multi-node wells because long-screen wells or long open boreholes that extend through multiple model layers can provide fast pathways for solutes to move from one location to another in a ground-water flow system. For nonpumping multi-node wells (used to simulate open boreholes or observation wells, for example), a simple routing and local mixing model was developed to calculate nodal concentrations within the borehole. A depth-averaged concentration is calculated for such nonpumping wells. For pumping multi-node wells (either withdrawal or injection) in which the flow between the well and the ground-water system is in the same direction at all nodes, the average concentration in the well is calculated as a flux-based mean assuming complete and instantaneous mixing in the wellbore of all inflows. For pumping multi-node wells (either withdrawal or injection) in which the flow between the well and the ground-water system is not unidirectional, the concentration distribution within the well is calculated using the same routing and local mixing model used for a nonpumping multi-node well, with the added assumption that the flux pumped in or out of the well is added or removed above the first well node.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Book 6: Modeling techniques, Section A. Ground-water","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/tm6A15","collaboration":"Code and documentation for other water models are available at http://water.usgs.gov/software/ground_water.html .","usgsCitation":"Konikow, L.F., and Hornberger, G., 2006, Use of the Multi-Node Well (MNW) package when simulating solute transport with the MODFLOW ground-water transport process (Version 1.9): U.S. Geological Survey Techniques and Methods 6-A15, 34 p., https://doi.org/10.3133/tm6A15.","productDescription":"34 p.","numberOfPages":"34","additionalOnlineFiles":"Y","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":192453,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7667,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/nrp/gwsoftware/mf2k_gwt/mf2k_gwt.html","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db604260","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":287456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hornberger, G.Z.","contributorId":71582,"corporation":false,"usgs":true,"family":"Hornberger","given":"G.Z.","email":"","affiliations":[],"preferred":false,"id":287457,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}