A hydrogeologic framework was developed for unconsolidated Quaternary deposits at the U.S. Army Atterbury Joint Maneuver Training Center. The framework describes the potential for the occurrence of ground water on the basis of physiography and the distribution of geologic materials within the study area. Four geologic units-the Jessup, Trafalgar, Atherton, and Martinsville Formations-were identified, and their distribution was mapped as four hydrogeologic regions. The Jessup and Trafalgar Formations are fine-grained, poorly sorted tills. At least two facies of the Atherton Formation, the lacustrine and outwash facies, are in the study area. The Martinsville Formation includes materials deposited or reworked since the glacial period. With the exception of the Atherton Formation outwash facies, the Quaternary deposits are primarily fine-grained, silt- and clay-rich sediments that function as confining layers or aquitards. The Atherton Formation out-wash facies includes sand and gravel deposits that constitute the primary aquifers in the study area. The four hydrogeologic regions mapped in this investigation are designated as the Bedrock, Jessup Till, Trafalgar Till, and Atherton Outwash Regions. Each region represents an area with a distinctive physiographic expression and vertical sequence of Quaternary deposits. The Bedrock Region in the western and southwestern part of the study area commonly is underlain by 0 to 15 feet of Martinsville Formation resting directly on bedrock. Potential ground-water yields are limited. The Jessup Till Region in the southeastern part of the study area includes the uplands on either side of the stream valleys. Sediments commonly range from 30 to 90 feet in thickness. This region includes clay-rich till of the Jessup Formation and sand and gravel deposits of the Atherton Formation outwash facies; the Atherton Formation outwash facies tends to be thin, and ground-water yields will be moderate. The Trafalgar Till Region in the north and northwest-central part of the study area commonly is underlain by 10 to 30 feet of Trafalgar till or Trafalgar till over 25 to 50 feet of Jessup till. Within, separating, and beneath these tills are deposits of the Atherton Formation outwash facies-the sand and gravel deposits with the best potential to support a water-supply well. Generally, the outwash facies in this region are thin sand and gravel lenses, except in a few locations that are in excess of 30 feet thick. The Atherton Outwash Region is the lowland area associated with the major valleys in all but the far southwestern part of the study area. This region has the greatest thickness of outwash facies sands and gravels (often in excess of 20 feet), which are the primary aquifers. In the Atterbury Joint Maneuver Training Center, the combined Atherton Outwash Region and the Trafalgar Till Region have the greatest potential as infiltration areas because of low topographic relief and(or) sandy soils. From water-level data collected in July and August 2003, horizontal ground-water flow was determined generally to be toward the Atherton Outwash Region and the valley of the Drift-wood River to the east. Vertical hydraulic gradients were documented at nested well pairs. At two sites, upwardly directed gradients are reflected by flowing wells. Ground-water discharge to surface water is likely in some eastern reaches of the valleys of Nineveh and Lick Creeks. In the valley of Nineveh Creek, potential for ground-water discharge is indicated by the presence of a flowing well, upwardly directed vertical hydraulic gradients, and ground-water heads that were higher than surface-water elevations. In the valley of Lick Creek, ground-water discharge also is indicated by the presence of flowing wells and ground-water heads that were higher than surface-water elevations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20065172","collaboration":"Prepared in Cooperation with the Indiana Army National Guard","usgsCitation":"Robinson, B.A., and Risch, M.R., 2006, Hydrogeologic framework and ground-water Flow in quaternary deposits at the U.S. Army Atterbury Joint Maneuver Training Center near Edinburgh, Indiana, 2002-2003: U.S. Geological Survey Scientific Investigations Report 2006-5172, v, 58 p.; 11 figs.; 5 tables, https://doi.org/10.3133/sir20065172.","productDescription":"v, 58 p.; 11 figs.; 5 tables","startPage":"1","endPage":"52","numberOfPages":"58","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2002-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":324905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20065172.GIF"},{"id":8920,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5172/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Indiana","otherGeospatial":"Camp Atterbury","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.98861694335938,\n 39.39640774949963\n ],\n [\n -86.08406066894531,\n 39.39640774949963\n ],\n [\n -86.16439819335938,\n 39.39587712612034\n ],\n [\n -86.25778198242188,\n 39.35659979720227\n ],\n [\n -86.26258850097655,\n 39.24980258296657\n ],\n [\n -86.2591552734375,\n 39.1987374726247\n ],\n [\n -86.18705749511719,\n 39.19660895352297\n ],\n [\n -86.15135192871094,\n 39.13272339930891\n ],\n [\n -86.06208801269531,\n 39.128462299490046\n ],\n [\n -85.98861694335938,\n 39.13165814852468\n ],\n [\n -85.968017578125,\n 39.138581990583525\n ],\n [\n -85.96939086914062,\n 39.26734763353102\n ],\n [\n -85.97282409667969,\n 39.31623792008409\n ],\n [\n -85.97694396972656,\n 39.38101803294523\n ],\n [\n -85.97557067871094,\n 39.39640774949963\n ],\n [\n -85.98861694335938,\n 39.39640774949963\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db628cdd","contributors":{"authors":[{"text":"Robinson, Bret A. barobins@usgs.gov","contributorId":3897,"corporation":false,"usgs":true,"family":"Robinson","given":"Bret","email":"barobins@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":289832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Risch, Martin R. 0000-0002-7908-7887 mrrisch@usgs.gov","orcid":"https://orcid.org/0000-0002-7908-7887","contributorId":2118,"corporation":false,"usgs":true,"family":"Risch","given":"Martin","email":"mrrisch@usgs.gov","middleInitial":"R.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289831,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":79407,"text":"pp1726 - 2006 - Rates, trends, causes, and consequences of urban land-use change in the United States","interactions":[],"lastModifiedDate":"2017-03-29T10:54:52","indexId":"pp1726","displayToPublicDate":"2006-11-20T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1726","title":"Rates, trends, causes, and consequences of urban land-use change in the United States","docAbstract":"Over the past 200 years, changes to the Nation's urban areas have been dramatic. Changes that have occurred relate both to the location of urban centers, as well as to the spatial extent of land dedicated to urban uses. Urban areas at the beginning of the 19th century were located primarily along major rivers or bodies of water, as waterways provided the most efficient means for transporting goods and people. As railroads became prominent, urban areas were able to expand or develop away from the water's edge.
Geographic features such as steep slopes, wetlands, and lack of freshwater impeded settlement. In 1902, the National Reclamation Act was passed and with it came funding for the construction of water storage and transportation systems. This encouraged urban expansion in the arid west. After World War II, the Nation's urban areas continued to expand outward away from the city center as populations migrated to the margins of urban areas, where land was less expensive and the environment was less polluted. In 1956, the Federal Highway Act and the building of Interstate highways further facilitated urban expansion across the Unite States. Rural towns, small industrial centers, and farmland were engulfed by expanding urban centers.
Over the past 200 years, numerous social, cultural, economic, and political incentives have encouraged urban expansion. In the 1800s, the industrial revolution influenced where people lived and worked. Many people shifted from agricultural production in rural areas to factory work in urban centers. Advances in transportation systems, such as rail transport in the 19th and early 20th centuries, followed by the mass production of the automobile and convenient air travel, facilitated a mobile society and a national economy. Economic growth and a population boom after World War II spurred increased suburbanization-the shifting of residential areas to the outlying section of a city or to a separate municipality-on the fringe of urban areas. Other economic and political incentives that shaped the urban environment included Federally backed home loans, credit and tax mechanisms that encouraged new development, and less restrictive municipal ordinances regarding building codes, environmental laws, and zoning regulations.
Throughout the past two centuries land use changes associated with increasing urbanization have had impacts that resonate at local, regional, and even national scales. Landscape changes resulting from urbanization can be mapped and studied over time. Understanding these changes requires a study of the causes of change as related to social, economic, and political influences. Understanding these changes also requires analysis of how urbanization physically spreads across the landscape. The knowledge gained from studying urban land-use change can be helpful when it flows into local, regional, and national decisionmaking that relates to land-use decisions that impact the people, the economy, and the environment. Deriving a correlation between physical change and the explanations of the causes of change can help anticipate and mitigate the impacts of future change.
Throughout the past two centuries changes to the Nation's urban areas are inextricably linked to population changes. The Nation's population started growing slowly along the eastern seaboard during the 17th and 18th centuries, accelerated in the second half of the 19th century, and then continued steadily spreading westward throughout the next hundred years. Currently, nearly 80 percent of the U.S. population resides in urban areas. Land area dedicated to urban use continues to expand, although differently than it has in the past. Most newly urbanized areas are much less densely populated and less intensively developed than they were 50 to 100 years ago.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1726","isbn":"9781411310469","usgsCitation":"Acevedo, W., Taylor, J., Hester, D.J., Mladinich, C.S., and Glavac, S., 2006, Rates, trends, causes, and consequences of urban land-use change in the United States: U.S. Geological Survey Professional Paper 1726, iv, 200 p., https://doi.org/10.3133/pp1726.","productDescription":"iv, 200 p.","numberOfPages":"206","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":293,"text":"Geographic Analysis and Monitoring Program","active":false,"usgs":true}],"links":[{"id":192482,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1726.PNG"},{"id":8916,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/pp1726/","linkFileType":{"id":5,"text":"html"}},{"id":295213,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/pp1726/pp1726.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db6487a0","contributors":{"authors":[{"text":"Acevedo, William wacevedo@usgs.gov","contributorId":2689,"corporation":false,"usgs":true,"family":"Acevedo","given":"William","email":"wacevedo@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":289827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Janis L. 0000-0002-9418-5215","orcid":"https://orcid.org/0000-0002-9418-5215","contributorId":33409,"corporation":false,"usgs":true,"family":"Taylor","given":"Janis L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":289829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hester, Dave J.","contributorId":54305,"corporation":false,"usgs":true,"family":"Hester","given":"Dave","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":289830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mladinich, Carol S. csmladinich@usgs.gov","contributorId":594,"corporation":false,"usgs":true,"family":"Mladinich","given":"Carol","email":"csmladinich@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":289826,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glavac, Sonya","contributorId":32624,"corporation":false,"usgs":true,"family":"Glavac","given":"Sonya","email":"","affiliations":[],"preferred":false,"id":289828,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":79406,"text":"sim2952 - 2006 - Trench Logs and Scarp Data from an Investigation of the Steens Fault Zone, Bog Hot Valley and Pueblo Valley, Humboldt County, Nevada","interactions":[],"lastModifiedDate":"2012-02-02T00:14:12","indexId":"sim2952","displayToPublicDate":"2006-11-20T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2952","title":"Trench Logs and Scarp Data from an Investigation of the Steens Fault Zone, Bog Hot Valley and Pueblo Valley, Humboldt County, Nevada","docAbstract":"Introduction: \r\nThis report contains field and laboratory data from a study of the Steens fault zone near Denio, Nev. The 200-km-long Steens fault zone forms the longest, most topographically prominent fault-bounded escarpment in the Basin and Range of southern Oregon and northern Nevada. The down-to-the-east normal fault is marked by Holocene fault scarps along nearly half its length, including the southern one-third of the fault from the vicinity of Pueblo Mountain in southern Oregon to the southern margin of Bog Hot Valley (BHV) southwest of Denio, Nev. We studied this section of the fault to better constrain late Quaternary slip rates, which we hope to compare to deformation rates derived from a recently established geodetic network in the region (Hammond and Thatcher, 2005). We excavated a trench in May 2003 across one of a series of right-stepping fault scarps that extend south from the southern end of the Pueblo Mountains and traverse the floor of Bog Hot Valley, about 4 km south of Nevada State Highway 140. This site was chosen because of the presence of well-preserved fault scarps, their development on lacustrine deposits thought to be suitable for luminescence dating, and the proximity of two geodetic stations that straddle the fault zone. We excavated a second trench in the southern BHV, but the fault zone in this trench collapsed during excavation and thus no information about fault history was documented from this site. We also excavated a soil pit on a lacustrine barrier bar in the southern Pueblo Valley (PV) to better constrain the age of lacustrine deposits exposed in the trench. The purpose of this report is to present photomosaics and trench logs, scarp profiles and slip data, soils data, luminescence and radiocarbon ages, and unit descriptions obtained during this investigation. We do not attempt to use the data presented herein to construct a paleoseismic history of this part of the Steens fault zone; that history will be the subject of a future report.\r\n","language":"ENGLISH","doi":"10.3133/sim2952","usgsCitation":"Personius, S.F., Crone, A.J., Machette, M., Kyung, J.B., Cisneros, H., Lidke, D.J., and Mahan, S., 2006, Trench Logs and Scarp Data from an Investigation of the Steens Fault Zone, Bog Hot Valley and Pueblo Valley, Humboldt County, Nevada (Version 1.0): U.S. Geological Survey Scientific Investigations Map 2952, map, 82 by 36 inches, https://doi.org/10.3133/sim2952.","productDescription":"map, 82 by 36 inches","costCenters":[],"links":[{"id":110689,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78432.htm","linkFileType":{"id":5,"text":"html"},"description":"78432"},{"id":190611,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8915,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2006/2952/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ce4b07f02db626818","contributors":{"authors":[{"text":"Personius, Stephen F. personius@usgs.gov","contributorId":1214,"corporation":false,"usgs":true,"family":"Personius","given":"Stephen","email":"personius@usgs.gov","middleInitial":"F.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":289821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crone, Anthony J. 0000-0002-3006-406X crone@usgs.gov","orcid":"https://orcid.org/0000-0002-3006-406X","contributorId":790,"corporation":false,"usgs":true,"family":"Crone","given":"Anthony","email":"crone@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":289819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Machette, Michael N.","contributorId":28963,"corporation":false,"usgs":true,"family":"Machette","given":"Michael N.","affiliations":[],"preferred":false,"id":289824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kyung, Jai Bok","contributorId":64342,"corporation":false,"usgs":true,"family":"Kyung","given":"Jai","email":"","middleInitial":"Bok","affiliations":[],"preferred":false,"id":289825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cisneros, Hector","contributorId":28680,"corporation":false,"usgs":true,"family":"Cisneros","given":"Hector","email":"","affiliations":[],"preferred":false,"id":289823,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lidke, David J. 0000-0003-4668-1617 dlidke@usgs.gov","orcid":"https://orcid.org/0000-0003-4668-1617","contributorId":1211,"corporation":false,"usgs":true,"family":"Lidke","given":"David","email":"dlidke@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":289820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mahan, Shannon 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":1215,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":289822,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":79392,"text":"ofr20061008 - 2006 - High-resolution geologic mapping of the inner continental shelf: Boston Harbor and approaches, Massachusetts","interactions":[],"lastModifiedDate":"2024-08-19T14:52:02.88092","indexId":"ofr20061008","displayToPublicDate":"2006-11-17T00:00:00","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":"2006-1008","title":"High-resolution geologic mapping of the inner continental shelf: Boston Harbor and approaches, Massachusetts","docAbstract":"This report presents the surficial geologic framework data and information for the sea floor of Boston Harbor and Approaches, Massachusetts (fig. 1.1). This mapping was conducted as part of a cooperative program between the U.S. Geological Survey (USGS), the Massachusetts Office of Coastal Zone Management (CZM), and the National Oceanic and Atmospheric Administration (NOAA). The primary objective of this project was to provide sea floor geologic information and maps of Boston Harbor to aid resource management, scientific research, industry and the public. A secondary objective was to test the feasibility of using NOAA hydrographic survey data, normally collected to update navigation charts, to create maps of the sea floor suitable for geologic and habitat interpretations. Defining sea-floor geology is the first steps toward managing ocean resources and assessing environmental changes due to natural or human activity. The geophysical data for these maps were collected as part of hydrographic surveys carried out by NOAA in 2000 and 2001 (fig. 1.2). Bottom photographs, video, and samples of the sediments were collected in September 2004 to help in the interpretation of the geophysical data. Included in this report are high-resolution maps of the sea floor, at a scale of 1:25,000; the data used to create these maps in Geographic Information Systems (GIS) format; a GIS project; and a gallery of photographs of the sea floor.
Companion maps of sea floor to the north Boston Harbor and Approaches are presented by Barnhardt and others (2006) and to the east by Butman and others (2003a,b,c). See Butman and others (2004) for a map of Massachusetts Bay at a scale of 1:125,000.
The sections of this report are listed in the navigation bar along the left-hand margin of this page. Section 1 (this section) introduces the report. Section 2 presents the large-format map sheets. Section 3 describes data collection, processing, and analysis. Section 4 summarizes the geologic history of the region and discusses geomorphic and anthropogenic features within the study area. Section 4 also provides references that contain additional information about the region. Appendix 1 provides GIS layers of all the data collected in this study, Appendix 2 contains the grain size textural analyses of sediment samples, and Appendix 3 contains bottom photographs of the sea floor in JPG format.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061008","isbn":"1411311337","usgsCitation":"Ackerman, S.D., Butman, B., Barnhardt, W., Danforth, W.W., and Crocker, J.M., 2006, High-resolution geologic mapping of the inner continental shelf: Boston Harbor and approaches, Massachusetts: U.S. Geological Survey Open-File Report 2006-1008, xi, 142 p., https://doi.org/10.3133/ofr20061008.","productDescription":"xi, 142 p.","numberOfPages":"153","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":295139,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1008/report.pdf","text":"Report","size":"9.58 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":8892,"rank":3,"type":{"id":15,"text":"Index 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\"3091877\"}","contact":"","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db68891b","contributors":{"authors":[{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":289771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butman, Bradford 0000-0002-4174-2073 bbutman@usgs.gov","orcid":"https://orcid.org/0000-0002-4174-2073","contributorId":943,"corporation":false,"usgs":true,"family":"Butman","given":"Bradford","email":"bbutman@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":289769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhardt, Walter A.","contributorId":80656,"corporation":false,"usgs":true,"family":"Barnhardt","given":"Walter A.","affiliations":[],"preferred":false,"id":289773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":289770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crocker, James M.","contributorId":55094,"corporation":false,"usgs":true,"family":"Crocker","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":289772,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":79402,"text":"ofr20061240 - 2006 - Vegetation classification for south Florida natural areas","interactions":[],"lastModifiedDate":"2025-04-15T15:32:56.0393","indexId":"ofr20061240","displayToPublicDate":"2006-11-17T00:00:00","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":"2006-1240","title":"Vegetation classification for south Florida natural areas","docAbstract":"A critical component of any ecological restoration program is documenting the temporal changes in the spatial extent, pattern, and proportion of plant communities within the landscape. The Comprehensive Everglades Restoration Plan (CERP - www.evergladesplan.org), authorized as part of the Water Resources and Development Act (WRDA) of 2000 (U.S. Congress, 2000), is an $8 billion hydrologic restoration project for all of south Florida. CERP includes 68 separate projects to be managed over the next 30 years by the South Florida Water Management District (SFWMD), the U. S. Army Corp of Engineers (USACE), and other State and Federal agencies. Restoration Coordination and Verification (RECOVER) is a system-wide program of the CERP, designed to organize, manage, and provide the highest quality scientific and technical support during implementation of the restoration program (RECOVER, in prep.). It is the role of RECOVER to develop and implement a system-wide Monitoring and Assessment Plan (MAP) (RECOVER, 2004) and to document how well the CERP is meeting its objectives for ecosystem restoration. One critical component of the MAP is vegetation mapping to document changes in the spatial extent, pattern, and proportion of plant communities within the Everglades landscape.
A major aspect of the vegetation mapping project was determining a classification system for labeling vegetation categories utilizing a grid method. The grid method was created specifically for use in the CERP RECOVER vegetation monitoring and assessment project (Rutchey and others, in prep). The CERP RECOVER vegetation mapping project utilizes aerial photography and photointerpretation techniques (with ground truthing) to identify and label vegetation classes. A classification system that had sufficient flexibility and detail to enable the designation of vegetation classes using various remote sensing platforms and identification techniques needed to be developed. The classification system had to be hierarchical, represent distinct ecological communities, individual species, and physical characteristics such as density and height. In addition, it was desirable to have a classification system that allowed exotic species and cattail to be identified using density classes.
The classification system was developed specifically for peninsular south Florida and the Florida Keys, from Lake Okeechobee in the north to Key West in the south (Figure 1). Specific areas of interest include Everglades National Park, Big Cypress National Preserve, Biscayne National Park, Florida Panther National Wildlife Refuge, Loxahatchee National Wildlife Refuge, the State of Florida Water Conservation Areas, Holeyland Wildlife Management Area, Rotenberger Wildlife Management Area, J.W. Corbett Wildlife Management Area, Pal-Mar Wildlife Management Area, the Lake Okeechobee Littoral Zones, and additional coastal wetlands of south eastern Miami-Dade County. In addition to being used for mapping of CERP affected areas, the National Park Service-South Florida/Caribbean Network is using the classification for mapping the remaining areas of Everglades National Park and Big Cypress National Preserve outside the CERP footprint, Florida Panther National Wildlife Refuge, Biscayne National Park, and Dry Tortugas National Park.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061240","usgsCitation":"Vegetation Classification for South Florida Natural Areas; 2006; OFR; 2006-1240; Rutchey, K.; Schall, T. N.; Doren, R. F.; Atkinson, A.; Ross, M. S.; Jones, D. T.; Madden, M.; Vilchek, L.; Bradley, K. A.; Snyder, J. R.; Burch, J. N.; Pernas, T.; Witcher, B.; Pyne, M.; White, R.; Smith, T. J., III; Sadle, J.; Smith, C. S.; Patterson, M. E.; Gann, G. D.","productDescription":"142 p.","numberOfPages":"142","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":8902,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1240/ofr20061240.pdf","text":"Report","size":"618 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2006-1240"},{"id":191839,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2006/1240/coverthb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.11862740583817,\n 26.70489837770232\n ],\n [\n -81.81504185065552,\n 26.70489837770232\n ],\n [\n -81.81504185065552,\n 25.09416821042484\n ],\n [\n -80.11862740583817,\n 25.09416821042484\n ],\n [\n -80.11862740583817,\n 26.70489837770232\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Caribbean-Florida Water Science Center
U.S. Geological Survey
3321 College Avenue
Davie, FL 33314
• On 13 August 2004, the first of four hurricanes to strike Florida in <6 weeks came ashore near J. N. “Ding” Darling National Wildlife Refuge (JNDDNWR) Complex, Sanibel Island, Florida. The eye of Category 4 Hurricane Charley passed just north of Sanibel Island with maximum sustained winds of 145 mph (123 knots) and a storm surge of 0.3-2.7 m (1-9 ft). Three USGS-BRD scientists (coastal ecologist and research wildlife biologists) and a USFWS wildlife biologist surveyed the storm damage to JNDDNWR Complex on the ground from 20-24 September 2004. • At the request of United States Fish and Wildlife Service refuge staff, the USGS team concentrated on assessing damage to wetlands and habitat for selected bird populations (especially mangrove forests, Mangrove Cuckoos [Coccyzus minor], and Black-whiskered Vireo [Vireo altiloquus]), waterbird rookeries (mangrove islands), impoundments (waterbirds and waterfowl), sea grass beds (manatees), and upland hardwood hammocks and ridges (threatened eastern indigo snake [Drymarchon couperi]). • The refuge complex sustained moderate to catastrophic damage to vegetation, especially mangrove forests and waterbird nesting or roosting islands. Lumpkin Island, Hemp Island, and Bird Key waterbird nesting areas had >50% and sometimes 90% of their vegetation severely damaged (dead, broken tree stems, and tipped trees). The Shell Mound Trail area of JNDDNWR sustained catastrophic damage to its old growth mangrove forests. Direct storm mortality and injury to manatees in the area of the JNDDNWR Complex was probably slight as manatees may have several strategies to reduce storm mortality. Damage to seagrass beds, an important habitat for manatees, fishes and invertebrates, is believed to be limited to the breach at North Captiva Island. At this breach, refuge staff documented inundation of beds by sand and scarring by trees dragged by winds. • Because seagrass beads and manatee habitat extend beyond refuge boundaries (see p. 28), a regional approach with partner agencies to more thoroughly assess storm impacts and monitor recovery of seagrass and manatees is recommended. • Besides intensive monitoring of waterbirds and their nesting habitat (pre- and post-storm), the survey team recommends that the Mangrove Cuckoo be used as an indicator species for recovery of mangrove forests and also for monitoring songbirds at risk (this songbird is habitat-area sensitive). Black-whiskered Vireo may be another potential indicator species to monitor in mangrove forests. Monitoring for these species can be done by distance sampling on transects or by species presenceabsence from point counts. • Damaged vegetation should be monitored for recovery (permanent or long-term plots), especially where previous study plots have been established and with additional plots in mangrove forests of waterbird nesting islands and freshwater wetlands. • Potential loss of wetlands (and information for management) may be prevented by water level monitoring (3 permanent stations), locating the positions (GPS-GIS) and maintaining existing water control structures, creating a GIS map of the refuge with accurate vertical data, and monitoring and eradicating invasive plants. Invasive species, including Brazilian pepper (Schinus terebinthifolius) and air potato (Dioscorea bulbifora), were common in a very limited survey and may become more dominant in areas damaged by the storm. Special attention is needed to eradicate these exotic plants. • As an important monitoring goal, the survey team recommends that species presence-absence data analysis (with probability of detection) be used to determine changes in animal communities. This could be accomplished possibly with comparison to other storm-damaged and undamaged refuges in the Region. This information may be helpful to refuge managers when storms return in the future.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061126","usgsCitation":"Wildlife and habitat damage assessment from Hurricane Charley: Recommendations for recovery of the J. N. \"Ding\" Darling National Wildlife Refuge Complex; 2006; OFR; 2006-1126; Meyers, J. Michael; Langtimm, Catherine A.; Smith, Thomas J., III; Pednault-Willett, Kendra","productDescription":"iv, 91 p.","numberOfPages":"95","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":8900,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1126/ofr20061126.pdf","text":"Report","size":"7.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2006-1126"},{"id":191838,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2006/1126/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"J. N. \"Ding\" Darling National Wildlife Refuge Complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.0538564325953,\n 26.445915842193443\n ],\n [\n -82.05587316574018,\n 26.470741436432903\n ],\n [\n -82.07856141362177,\n 26.468484785459523\n ],\n [\n -82.08990553756254,\n 26.45900636814946\n ],\n [\n -82.12923183389046,\n 26.480670174910344\n ],\n [\n -82.14158432440338,\n 26.479316306488244\n ],\n [\n -82.15797028120667,\n 26.49353113000916\n ],\n [\n -82.17158322993538,\n 26.495561675621147\n ],\n [\n -82.18040643744523,\n 26.51902315554277\n ],\n [\n -82.18645663687985,\n 26.516767452236323\n ],\n [\n -82.18393572044891,\n 26.486988016824142\n ],\n [\n -82.17334787143722,\n 26.482700947663844\n ],\n [\n -82.15771818956364,\n 26.472772384469224\n ],\n [\n -82.13981968290153,\n 26.451107090875993\n ],\n [\n -82.09772037849963,\n 26.428308996028065\n ],\n [\n -82.0538564325953,\n 26.445915842193443\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Caribbean-Florida Water Science Center
U.S. Geological Survey
3321 College Avenue
Davie, FL 33314
Results of ground-water sampling from 255 wells and 19 springs in 11 studies done by the U.S. Geological Survey National Water-Quality Assessment (NAWQA) Program within the Piedmont Aquifer System (PAS) were analyzed to determine the factors affecting occurrence and distribution of selected contaminants. The contaminants, which were selected on the basis of potential human-health effects, included nitrate, pesticides, volatile organic compounds (VOCs), and radon.
The PAS was subdivided on the basis of the general rock type of the aquifers into three areas for the study—crystalline, carbonate, and siliciclastic. The 11 studies were designed to areally represent an individual aquifer rock type and overall are representative of the PAS in their distribution; 7 studies are in the crystalline-rock aquifers, 3 studies are in the siliciclasticrock aquifers, and 1 study is in the carbonate-rock aquifers. Four of the studies were focused on land use, 1 in an agricultural area and 3 in urban areas. The remaining studies had wells representing a range of land-use types.
Analysis of results of nitrate sampling indicated that in 8 of the 10 areas where nitrate concentrations were measured, median concentrations of nitrate were below 3 mg/L (milligrams per liter); 2 of the 10 areas had statistically significant higher median concentrations when compared to the other 8 areas. The agricultural land-use study in the carbonate-rock aquifer in the Lower Susquehanna River Basin had the highest median nitrate concentration (11 mg/L), and 60 percent of the wells sampled exceeded the U.S. Environmental Protection Agency (USEPA) Maximum Contaminant Level (MCL) of 10 mg/L. The major aquifer study in the crystalline-rock aquifer of the Lower Susquehanna River Basin Study Unit had the second-highest median nitrate concentration. Nitrate concentrations were positively correlated to the percentage of agricultural land use around the well, the total input of nitrogen from all sources, dissolved oxygen concentration, lithology, depth to water, and soil-matrix characteristics. A linear regression model was used to determine that increases in the percentage of agricultural land use, the input of nitrogen from all sources, and dissolved oxygen were the most significant variables affecting increased concentration of nitrate. A logistic regression model was used to determine that those same factors were the most significant variables affecting whether or not the nitrate concentration would exceed 4 mg/L.
Of the analysis of samples from 253 wells and 19 springs for 47 pesticides, no sample had a pesticide concentration that exceeded any USEPA MCL. The most frequently detected pesticide was desethyl atrazine, a degradation product of atrazine; the detection frequency was 47 percent. Other frequently detected pesticides included atrazine, metolachlor, simazine, alachlor, prometon, and dieldrin. Detection frequency was affected by the analytical reporting limits; the frequency of detection was somewhat lower when all pesticides were censored to the highest common detection limit. Source factors such as agricultural land use (for agricultural herbicides), urban land use (for insecticides), and the application rate were found to have positive statistical correlations with pesticide concentration. Transport factors such as depth to water and percentage of well-drained soils, sand, or silt typically were positively correlated with higher pesticide concentrations.
Sampling for VOCs was conducted in 187 wells and 19 springs that were sampled for 59 VOCs. There were 137 detections of VOCs above the common censoring limit of 0.2 µg/L. The most frequently detected VOCs were chloroform, a trihalomethane, and methyl-tert butyl ether (MTBE), a fuel oxygenate. Seventy-nine wells had at least one VOC detected. The detections were related to land use and well depth. Kendall’s tau correlations indicated a significant positive correlation between chloroform concentration and urban land use, leaking underground storage tanks, population density, and well depth. MTBE concentrations also were positively correlated to urban land use, leaking underground storage tanks, population density, and well depth.
Radon was sampled at 205 sites. The subdivisions used for analysis of other contaminants were not adequate for analysis of radon because radon varies on the basis of variations in mineralogy that are not reflected by the general lithologic categories used for the rest of the studies. Concentrations of radon were highest in areas where the crystalline-rock aquifers had felsic mineralogy, and the lowest concentrations of radon were in areas where the crystalline-rocks aquifer had mafic mineralogy. Water from wells in siliciclastic-rock aquifers had concentrations of radon lower than that in the felsic crystalline-rock aquifers. More than 90 percent of the wells sampled for radon exceeded the proposed MCL of 300 pCi/L (picoCuries per liter); however, only 13 percent of those wells had concentrations in water that exceeded the alternative maximum contaminant level (AMCL), a higher level that can be used by municipalities addressing other sources of radon exposure.
Overall, concentrations of constituents were related to land-use factors for nitrate, pesticides, VOCs, and to aquifer lithology for radon. None of the 47 pesticides or 59 VOCs analyzed exceeded the MCLs where those constituents were sampled. Concentrations exceeded the MCL for nitrate in 11 percent of the wells sampled. Nearly 91 percent of the wells sampled exceeded the proposed MCL for radon. Additional sampling in selected areas would improve overall understanding of the PAS and increase the possibility of creating predictive models of ground-water quality in this area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20065104","usgsCitation":"Lindsey, B., Falls, W.F., Ferrari, M., Zimmerman, T.M., Harned, D.A., Sadorf, E.M., and Chapman, M.J., 2006, Factors affecting occurrence and distribution of selected contaminants in ground water from selected areas in the Piedmont Aquifer System, Eastern United States, 1993-2003: U.S. Geological Survey Scientific Investigations Report 2006-5104, x, 72 p.; 28 figs.; 22 tables, https://doi.org/10.3133/sir20065104.","productDescription":"x, 72 p.; 28 figs.; 22 tables","temporalStart":"1993-01-01","temporalEnd":"2003-12-31","costCenters":[],"links":[{"id":191253,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8812,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5104/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama, Delaware, Georgia, Maryland, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Virginia","otherGeospatial":"Piedmont Aquifer System","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"properties\":{},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-87.4072265625,32.47269502206151],[-87.802734375,32.10118973232094],[-85.517578125,31.952162238024975],[-83.1005859375,32.54681317351514],[-82.2216796875,32.91648534731439],[-81.298828125,33.46810795527896],[-80.68359375,33.8339199536547],[-80.244140625,34.379712580462204],[-78.134765625,35.06597313798418],[-77.7392578125,35.85343961959182],[-78.22265625,36.63316209558658],[-77.7392578125,37.579412513438385],[-75.76171875,39.842286020743394],[-73.916015625,40.81380923056958],[-74.44335937499999,41.47566020027821],[-75.7177734375,40.97989806962013],[-78.046875,39.470125122358176],[-78.57421875,38.92522904714054],[-79.2333984375,38.13455657705411],[-80.1123046875,37.26530995561875],[-80.8154296875,36.4566360115962],[-81.5625,35.60371874069731],[-81.6064453125,35.137879119634185],[-82.9248046875,34.379712580462204],[-83.3642578125,34.34343606848294],[-84.1552734375,34.125447565116126],[-85.4296875,33.7243396617476],[-86.66015624999999,33.137551192346145],[-87.4072265625,32.47269502206151]]]}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a06e4b07f02db5f8860","contributors":{"authors":[{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":434,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce D.","email":"blindsey@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":289656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falls, W. Fred 0000-0003-2928-9795 wffalls@usgs.gov","orcid":"https://orcid.org/0000-0003-2928-9795","contributorId":2562,"corporation":false,"usgs":true,"family":"Falls","given":"W.","email":"wffalls@usgs.gov","middleInitial":"Fred","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":289661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrari, Matthew J.","contributorId":67082,"corporation":false,"usgs":true,"family":"Ferrari","given":"Matthew J.","affiliations":[],"preferred":false,"id":289662,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Tammy M. 0000-0003-0842-6981 tmzimmer@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-6981","contributorId":2359,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Tammy","email":"tmzimmer@usgs.gov","middleInitial":"M.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":289660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harned, Douglas A. daharned@usgs.gov","contributorId":1295,"corporation":false,"usgs":true,"family":"Harned","given":"Douglas","email":"daharned@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":289657,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sadorf, Eric M. emsadorf@usgs.gov","contributorId":2245,"corporation":false,"usgs":true,"family":"Sadorf","given":"Eric","email":"emsadorf@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":289659,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chapman, Melinda J. 0000-0003-4021-0320 mjchap@usgs.gov","orcid":"https://orcid.org/0000-0003-4021-0320","contributorId":1597,"corporation":false,"usgs":true,"family":"Chapman","given":"Melinda","email":"mjchap@usgs.gov","middleInitial":"J.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289658,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":79327,"text":"ds196 - 2006 - California GAMA program: Ground-water quality data in the northern San Joaquin Basin Study Unit, 2005","interactions":[],"lastModifiedDate":"2022-07-08T20:41:39.645215","indexId":"ds196","displayToPublicDate":"2006-11-16T00:00:00","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":"196","title":"California GAMA program: Ground-water quality data in the northern San Joaquin Basin Study Unit, 2005","docAbstract":"Growing concern over the closure of public-supply wells because of ground-water contamination has led the State Water Board to establish the Ground-Water Ambient Monitoring and Assessment (GAMA) Program. With the aid of the U.S. Geological Survey (USGS) and Lawrence Livermore National Laboratory, the program goals are to enhance understanding and provide a current assessment of ground-water quality in areas where ground water is an important source of drinking water. The Northern San Joaquin Basin GAMA study unit covers an area of approximately 2,079 square miles (mi2) across four hydrologic study areas in the San Joaquin Valley. The four study areas are the California Department of Water Resources (CADWR) defined Tracy subbasin, the CADWR-defined Eastern San Joaquin subbasin, the CADWR-defined Cosumnes subbasin, and the sedimentologically distinct USGS-defined Uplands study area, which includes portions of both the Cosumnes and Eastern San Joaquin subbasins.\r\n\r\nSeventy ground-water samples were collected from 64 public-supply, irrigation, domestic, and monitoring wells within the Northern San Joaquin Basin GAMA study unit. Thirty-two of these samples were collected in the Eastern San Joaquin Basin study area, 17 in the Tracy Basin study area, 10 in the Cosumnes Basin study area, and 11 in the Uplands Basin study area. Of the 32 samples collected in the Eastern San Joaquin Basin, 6 were collected using a depth-dependent sampling pump. This pump allows for the collection of samples from discrete depths within the pumping well. Two wells were chosen for depth-dependent sampling and three samples were collected at varying depths within each well. Over 350 water-quality field parameters, chemical constituents, and microbial constituents were analyzed and are reported as concentrations and as detection frequencies, by compound classification as well as for individual constituents, for the Northern San Joaquin Basin study unit as a whole and for each individual study area. Results are presented in a descending order based on detection frequencies (most frequently detected compound listed first), or alphabetically when a detection frequency could not be calculated. Only certain wells were measured for all constituents and water-quality parameters.\r\n\r\nThe results of all of the analyses were compared with U.S. Environmental Protection Agency (USEPA) and California Department of Health Services (CADHS) Maximum Contaminant Levels (MCLs), Secondary Maximum Contaminant Levels (SMCLs), USEPA lifetime health advisories (HA-Ls), the risk-specific dose at a cancer risk level equal to 1 in 100,000 or 10E-5 (RSD5), and CADHS notification levels (NLs). When USEPA and CADHS MCLs are the same, detection levels were compared with the USEPA standard; however, in some cases, the CADHS MCL may be lower. In those cases, the data were compared with the CADHS MCL.\r\n\r\nConstituents listed by CADHS as 'unregulated chemicals for which monitoring is required' were compared with the CADHS 'detection level for the purposes of reporting' (DLR). DLRs unlike MCLs are not health based standards. Instead, they are levels at which current laboratory detection capabilities allow eighty percent of qualified laboratories to achieve measurements within thirty percent of the true concentration. \r\n\r\nTwenty-three volatile organic compounds (VOCs) and seven gasoline oxygenates were detected in ground-water samples collected in the Northern San Joaquin Basin GAMA study unit. Additionally, 13 tentatively identified compounds were detected. VOCs were most frequently detected in the Eastern San Joaquin Basin study area and least frequently detected in samples collected in the Cosumnes Basin study area. Dichlorodifluoromethane (CFC-12), a CADHS 'unregulated chemical for which monitoring is required,' was detected in two wells at concentrations greater than the DLR. Trihalomethanes\r\nwere the most frequently detected class of VOC constituents. Chloroform (trichloromethane) was the m","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds196","usgsCitation":"Bennett, G.L., Belitz, K., and Milby Dawson, B.J., 2006, California GAMA program: Ground-water quality data in the northern San Joaquin Basin Study Unit, 2005: U.S. Geological Survey Data Series 196, xiv, 122 p., https://doi.org/10.3133/ds196.","productDescription":"xiv, 122 p.","numberOfPages":"136","temporalStart":"2004-10-01","temporalEnd":"2005-09-30","costCenters":[],"links":[{"id":403320,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78292.htm","linkFileType":{"id":5,"text":"html"}},{"id":192348,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8815,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/196/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Basin Study Unit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.6845703125,\n 37.52715361723378\n ],\n [\n -120.421142578125,\n 37.52715361723378\n ],\n [\n -120.421142578125,\n 38.62545397209084\n ],\n [\n -121.6845703125,\n 38.62545397209084\n ],\n [\n -121.6845703125,\n 37.52715361723378\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f9591","contributors":{"authors":[{"text":"Bennett, George L. V 0000-0002-6239-1604 georbenn@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-1604","contributorId":1373,"corporation":false,"usgs":true,"family":"Bennett","given":"George","suffix":"V","email":"georbenn@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":289667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Milby Dawson, Barbara J.","contributorId":57133,"corporation":false,"usgs":true,"family":"Milby Dawson","given":"Barbara","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":289669,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":79335,"text":"sir20065182 - 2006 - Geology, Water, and Wind in the Lower Helmand Basin, Southern Afghanistan","interactions":[],"lastModifiedDate":"2012-02-02T00:14:18","indexId":"sir20065182","displayToPublicDate":"2006-11-16T00:00:00","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":"2006-5182","title":"Geology, Water, and Wind in the Lower Helmand Basin, Southern Afghanistan","docAbstract":"This report presents an overview of the geology, hydrology, and climate of the lower Helmand Basin, a large, closed, arid basin in southern Afghanistan. The basin is drained by the Helmand River, the only perennial desert stream between the Indus and Tigris-Euphrates Rivers. The Helmand River is the lifeblood of southern Afghanistan and has supported desert civilizations in the Sistan depression for over 6,000 years.\r\n\r\nThe Helmand Basin is a structurally closed basin that began to form during the middle Tertiary as a consequence of the collision of several Gondwanaland fragments. Aeromagnetic studies indicate the basin is 3-5 kilometers deep over basement rocks. Continued subsidence along basin-bounding faults in Iran and Pakistan throughout the Neogene has formed the Sistan depression in the southwest corner of the basin. Lacustrine, eolian, and fluvial deposits are commonly exposed in the basin and were intruded by latest Miocene-middle Quaternary volcanoes, which indicates that depositional environments in the lower Helmand Basin have not substantially changed for nearly 10 million years.\r\n\r\nLakes expanded in the Sistan depression during the Quaternary; however, the size and extent of these pluvial lakes are unknown. Climate conditions in the lower Helmand Basin likely mirrored climate changes in the Rajasthan Desert to the east and in Middle Eastern deserts to the west: greater aridity during global episodes of colder temperatures and increased available moisture during episodes of warmer temperatures.\r\n\r\nEolian processes are unusually dominant in shaping the landscape in the basin. A strong wind blows for 120 days each summer, scouring dry lakebeds and creating dune fields from annual flood deposits. Nearly one-third of the basin is mantled with active or stabilized dunes. Blowing winds combined with summer temperatures over 50? Celsius and voluminous insect populations hatched from the deltaic wetlands create an environment referred to as the 'most odious place on earth' by 19th century visitors. During dry years, large plumes of dust originating from Sistan are recorded by weather satellites.\r\n\r\nThe Helmand River drains about 40 percent of Afghanistan and receives most of its moisture from melting snow and spring storms. Similar to many desert streams, the Helmand and its main tributary, the Arghandab River, are characterized by large fluctuations in monthly and annual discharges. Water from the Helmand accumulates in several hamuns (shallow lakes) in the Sistan depression. The wetlands surrounding these hamuns are the largest in western Asia and are directly affected by droughts and floods on the Helmand. Average annual discharge on the Helmand is about 6.12 million megaliters (million cubic meters), and the annual discharge varies by a factor of five. In 2005, the region was just beginning to recover from the longest drought (1998-2005) of record back to 1830. Annual peak discharges range from less than 80 cubic meters per second in 1971 to nearly 19,000 cubic meters per second in 1885. Large floods fill each hamun to overflowing to create one large lake that overflows into the normally dry Gaud-i Zirreh basin. The interaction of flooding, active subsidence, and wind erosion causes frequent channel changes on the Helmand delta.\r\n\r\nA major development effort on the Helmand River was initiated after World War II with substantial aid from the United States. Two dams and several major canals were completed in the 1950s; however, poor drainage conditions on the newly prepared agricultural fields caused extensive waterlogging and salinization. New drains were installed and improved agricultural methods were implemented in the 1970s, and some lands became more productive. Since 1980, Afghanistan has endured almost constant war and civil and political strife. In 2005, the country was on a path to rebuild much of its technical infrastructure. Revitalization of agricultural lands in the lower Helmand Basin and improved managem","language":"ENGLISH","doi":"10.3133/sir20065182","usgsCitation":"Whitney, J.W., 2006, Geology, Water, and Wind in the Lower Helmand Basin, Southern Afghanistan (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2006-5182, vi, 40 p.; 22 figs.; 1 table, https://doi.org/10.3133/sir20065182.","productDescription":"vi, 40 p.; 22 figs.; 1 table","numberOfPages":"46","costCenters":[],"links":[{"id":194632,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8824,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5182/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c6d4","contributors":{"authors":[{"text":"Whitney, John W. 0000-0003-3824-3692 jwhitney@usgs.gov","orcid":"https://orcid.org/0000-0003-3824-3692","contributorId":804,"corporation":false,"usgs":true,"family":"Whitney","given":"John","email":"jwhitney@usgs.gov","middleInitial":"W.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":289679,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":79320,"text":"ofr20061342 - 2006 - Response to memorandum by Rowley and Dixon regarding U.S. Geological Survey report titled \"Characterization of Surface-Water Resources in the Great Basin National Park Area and Their Susceptibility to Ground-Water Withdrawals in Adjacent Valleys, White Pine County, Nevada\"","interactions":[],"lastModifiedDate":"2012-02-02T00:13:57","indexId":"ofr20061342","displayToPublicDate":"2006-11-16T00:00:00","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":"2006-1342","title":"Response to memorandum by Rowley and Dixon regarding U.S. Geological Survey report titled \"Characterization of Surface-Water Resources in the Great Basin National Park Area and Their Susceptibility to Ground-Water Withdrawals in Adjacent Valleys, White Pine County, Nevada\"","docAbstract":"Applications pending for permanent permits to pump large quantities of ground water in Spring and Snake Valleys adjacent to Great Basin National Park (the Park) prompted the National Park Service to request a study by the U.S. Geological Survey to evaluate the susceptibility of the Park's surface-water resources to pumping. The result of this study was published as U.S. Geological Survey Scientific Investigations Report 2006-5099 'Characterization of Surface-Water Resources in the Great Basin National Park Area and Their Susceptibility to Ground-Water Withdrawals in Adjacent Valleys, White Pine County, Nevada,' by P.E. Elliott, D.A. Beck, and D.E. Prudic. That report identified areas within the Park where surface-water resources are susceptible to ground-water pumping; results from the study showed that three streams and several springs near the eastern edge of the Park were susceptible. However, most of the Park's surface-water resources likely would not be affected by pumping because of either low-permeability rocks or because ground water is sufficiently deep as to not be directly in contact with the streambeds.\r\n\r\nA memorandum sent by Peter D. Rowley and Gary L. Dixon, Consulting Geologists, to the Southern Nevada Water Authority (SNWA) on June 29, 2006 was critical of the report. The memorandum by Rowley and Dixon was made available to the National Park Service, the U.S. Geological Survey, and the public during the Nevada State Engineer's 'Evidentiary Exchange' process for the recent hearing on applications for ground-water permits by SNWA in Spring Valley adjacent to Great Basin National Park. The U.S. Geological Survey was asked by the National Park Service to assess the validity of the concerns and comments contained in the Rowley and Dixon memorandum.\r\n\r\nAn Administrative Letter Report responding to Rowley and Dixon's concerns and comments was released to the National Park Service on October 30, 2006. The National Park Service subsequently requested that the contents with three minor changes to the Administrative Letter Report be released to the public. The first paragraph was revised to better explain how the memorandum was brought to the attention of the National Park Service and the U.S. Geological Survey and the purpose of the Administrative Letter Report. The second and third changes were minor word changes to the end of the first sentence at the top of page 11 and in the Summary statement, respectively. The Administrative Letter Report with these minor changes is reproduced herein.\r\n\r\nLastly, the National Park Service asked me to explain the difference between potentially and likely susceptible areas used in the report. Admittedly, the report did not clearly explain their usage. Potentially susceptible areas were used in the report to identify areas where (1) ground water interacts with water in the creeks but the connection between permeable rocks in the mountains with the basin fill is uncertain or where (2) ground-water interaction with water in the creeks is less certain but permeable rocks are connected with basin fill. Likely susceptible areas were used to identify areas in the mountains and valleys where ground-water interacts with water in the creeks or discharges as springs and permeable rocks are connected with basin fill. Likely susceptible areas are, therefore, more vulnerable to ground-water pumping.\r\n","language":"ENGLISH","doi":"10.3133/ofr20061342","usgsCitation":"Prudic, D.E., 2006, Response to memorandum by Rowley and Dixon regarding U.S. Geological Survey report titled \"Characterization of Surface-Water Resources in the Great Basin National Park Area and Their Susceptibility to Ground-Water Withdrawals in Adjacent Valleys, White Pine County, Nevada\": U.S. Geological Survey Open-File Report 2006-1342, 15 p., https://doi.org/10.3133/ofr20061342.","productDescription":"15 p.","numberOfPages":"15","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":191673,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8805,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1342/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db6975ae","contributors":{"authors":[{"text":"Prudic, David E. deprudic@usgs.gov","contributorId":3430,"corporation":false,"usgs":true,"family":"Prudic","given":"David","email":"deprudic@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289651,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":79263,"text":"sir20065187 - 2006 - Simulation of Water Levels and Salinity in the Rivers and Tidal Marshes in the Vicinity of the Savannah National Wildlife Refuge, Coastal South Carolina and Georgia","interactions":[],"lastModifiedDate":"2017-01-12T10:26:13","indexId":"sir20065187","displayToPublicDate":"2006-10-30T00:00:00","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":"2006-5187","title":"Simulation of Water Levels and Salinity in the Rivers and Tidal Marshes in the Vicinity of the Savannah National Wildlife Refuge, Coastal South Carolina and Georgia","docAbstract":"The Savannah Harbor is one of the busiest ports on the East Coast of the United States and is located downstream from the Savannah National Wildlife Refuge, which is one of the Nation?s largest freshwater tidal marshes. The Georgia Ports Authority and the U.S. Army Corps of Engineers funded hydrodynamic and ecological studies to evaluate the potential effects of a proposed deepening of Savannah Harbor as part of the Environmental Impact Statement. These studies included a three-dimensional (3D) model of the Savannah River estuary system, which was developed to simulate changes in water levels and salinity in the system in response to geometry changes as a result of the deepening of Savannah Harbor, and a marsh-succession model that predicts plant distribution in the tidal marshes in response to changes in the water-level and salinity conditions in the marsh. Beginning in May 2001, the U.S. Geological Survey entered into cooperative agreements with the Georgia Ports Authority to develop empirical models to simulate the water level and salinity of the rivers and tidal marshes in the vicinity of the Savannah National Wildlife Refuge and to link the 3D hydrodynamic river-estuary model and the marsh-succession model. \r\n\r\nFor the development of these models, many different databases were created that describe the complexity and behaviors of the estuary. The U.S. Geological Survey has maintained a network of continuous streamflow, water-level, and specific-conductance (field measurement to compute salinity) river gages in the study area since the 1980s and a network of water-level and salinity marsh gages in the study area since 1999. The Georgia Ports Authority collected water-level and salinity data during summer 1997 and 1999 and collected continuous water-level and salinity data in the marsh and connecting tidal creeks from 1999 to 2002. Most of the databases comprise time series that differ by variable type, periods of record, measurement frequency, location, and reliability. \r\n\r\nUnderstanding freshwater inflows, tidal water levels, and specific conductance in the rivers and marshes is critical to enhancing the predictive capabilities of a successful marsh succession model. Data-mining techniques, including artificial neural network (ANN) models, were applied to address various needs of the ecology study and to integrate the riverine predictions from the 3D model to the marsh-succession model. ANN models were developed to simulate riverine water levels and specific conductance in the vicinity of the tidal marshes for the full range of historical conditions using data from the river gaging networks. ANN models were also developed to simulate the marsh water levels and pore-water salinities using data from the marsh gaging networks. Using the marsh ANN models, the continuous marsh network was hindcasted to be concurrent with the long-term riverine network. The hindcasted data allow ecologists to compute hydrologic parameters?such as hydroperiods and exposure frequency?to help analyze historical vegetation data.\r\n\r\nTo integrate the 3D hydrodynamic model, the marsh-succession model, and various time-series databases, a decision support system (DSS) was developed to support the various needs of regulatory and scientific stakeholders. The DSS required the development of a spreadsheet application that integrates the database, 3D hydrodynamic model output, and ANN riverine and marsh models into a single package that is easy to use and can be readily disseminated. The DSS allows users to evaluate water-level and salinity response for different hydrologic conditions. Savannah River streamflows can be controlled by the user as constant flow, a percentage of historical flows, a percentile daily flow hydrograph, or as a user-specified hydrograph. The DSS can also use output from the 3D model at stream gages near the Savannah National Wildlife Refuge to simulate the effects in the tidal marshes. The DSS is distributed with a two-dimensional (","language":"ENGLISH","doi":"10.3133/sir20065187","usgsCitation":"Conrads, P., Roehl, E.A., Daamen, R.C., and Kitchens, W.M., 2006, Simulation of Water Levels and Salinity in the Rivers and Tidal Marshes in the Vicinity of the Savannah National Wildlife Refuge, Coastal South Carolina and Georgia: U.S. Geological Survey Scientific Investigations Report 2006-5187, x, 134 p., https://doi.org/10.3133/sir20065187.","productDescription":"x, 134 p.","numberOfPages":"144","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":194571,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8742,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5187/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia, South Carolina","otherGeospatial":"Savannah National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.51031494140625,\n 31.811062019751912\n ],\n [\n -81.51031494140625,\n 32.55607364492026\n ],\n [\n -80.60531616210938,\n 32.55607364492026\n ],\n [\n -80.60531616210938,\n 31.811062019751912\n ],\n [\n -81.51031494140625,\n 31.811062019751912\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7ee4b07f02db648602","contributors":{"authors":[{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":289517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roehl, Edwin A.","contributorId":89242,"corporation":false,"usgs":true,"family":"Roehl","given":"Edwin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":289519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daamen, Ruby C.","contributorId":105391,"corporation":false,"usgs":true,"family":"Daamen","given":"Ruby","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":289520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kitchens, Wiley M. kitchensw@usgs.gov","contributorId":2851,"corporation":false,"usgs":true,"family":"Kitchens","given":"Wiley","email":"kitchensw@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":289518,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":79254,"text":"ofr20061329 - 2006 - Preliminary geologic map of the White Sulphur Springs 30' x 60' Quadrangle, Montana","interactions":[],"lastModifiedDate":"2020-06-25T15:45:18.068126","indexId":"ofr20061329","displayToPublicDate":"2006-10-30T00:00:00","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":"2006-1329","displayTitle":"Preliminary Geologic Map of the White Sulphur Springs 30' x 60' Quadrangle, Montana","title":"Preliminary geologic map of the White Sulphur Springs 30' x 60' Quadrangle, Montana","docAbstract":"The geologic map of the White Sulphur Springs quadrangle, scale 1:100,000, was made as part of the Montana Investigations Project to provide new information on the stratigraphy, structure, and geologic history of the geologically complex area in west-central Montana. The quadrangle encompasses about 4,235 km2 (1,635 mi2), across part of the Smith River basin, the west end of the Little Belt Mountains, the Castle Mountains, and the upper parts of the basins of the North Forks of the Smith and Musselshell Rivers and the Judith River. Geologically the quadrangle extends across the eastern part of the Helena structural salient in the Rocky Mountain thrust belt, a segment of the Lewis and Clark tectonic zone, west end of the ancestral central Montana uplift, and the southwest edge of the Judith basin.\r\n\r\nRocks and sediments in the White Sulphur Springs quadrangle are assigned to 88 map units on the basis of rock or sediment type and age. The oldest rock exposed is Neoarchean diorite that is infolded with Paleoproterozoic metamorphic rocks including gneiss, diorite, granite, amphibolite, schist, and mixed metamorphic rock types. A thick succession of the Mesoproterozoic Belt Supergroup unconformably overlies the metamorphic rocks and, in turn, is overlain unconformably by Phanerozoic sedimentary and volcanic rocks. Across most of the quadrangle, the pre-Tertiary stratigraphic succession is intruded by Eocene dikes, sills, and plutons. The central part of the Little Belt Mountains is generally underlain by laccoliths and sheet-like bodies of quartz monzonite or dacite. Oligocene andesitic basalt flows in the western and southern part of the quadrangle document both the configuration of the late Eocene erosional surfaces and the extent of extensional faulting younger than early Oligocene in the area.\r\n\r\nPliocene, Miocene, and Oligocene strata, mapped as 11 units, consist generally of interbedded sand, gravel, and tuffaceous sedimentary rock. Quaternary and Quaternary-Tertiary sediments rest across the older Cenozoic deposits and across all older rocks. The Quaternary and Quaternary-Tertiary deposits generally are gravels that mantle broad erosional surfaces on the flanks of the mountains, gravels in stream channels, and colluvium and landslide deposits on hill sides. Glacial deposits, representing at least two stages of glaciation, are present in the northern part of the Little Belt Mountains.\r\n\r\nThe geologic structure of much of the northwest part of the quadrangle is a broad uplift, in the core of which the Paleoproterozoic and Neoarchean metamorphic rocks are exposed. Down plunge to the east, the succession of Phanerozoic sedimentary rocks define an east-trending arch, cored locally by Mesoproterozoic strata of the Belt Supergroup. The north flank of the arch dips steeply north as a monocline. Stratigraphic relations among Mississippian, Pennsylvanian, and Jurassic strata document the recurrent uplift and erosion on that north flank. The broader arch of the Little Belt Mountains reflects the west plunge of the ancestral Central Montana uplift.\r\n\r\nThe eastern extension of the Lewis and Clark tectonic zone is exposed in the southern half of the quadrangle where the Volcano Valley fault zone curves from west to southeast as a reverse fault along which the latest movement is up on the south side. The fault zone ends in an anticline in the south-central margin of the quadrangle. Stratigraphic overlap of Phanerozoic strata over the truncated edges of Mesoproterozoic units documents that the area of the eastern terminus of the fault zone was tectonically recurrently active.\r\n\r\nNortheast trending strike-slip faults displace Mesoproterozoic rocks in the northwest and south-central parts of the quadrangle. Several of those faults are overlain unconformably by the Middle Cambrian Flathead Sandstone. Other north-east and west-trending faults across the central part of the quadrangle are intruded by middle Eocene plutons. You","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061329","usgsCitation":"Reynolds, M.W., and Brandt, T.R., 2006, Preliminary geologic map of the White Sulphur Springs 30' x 60' Quadrangle, Montana (Version 1.1): U.S. Geological Survey Open-File Report 2006-1329, 1 Map: 69.69 x 29.45 inches; HTML Document, https://doi.org/10.3133/ofr20061329.","productDescription":"1 Map: 69.69 x 29.45 inches; HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":190597,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8728,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1329/","linkFileType":{"id":5,"text":"html"}},{"id":110682,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78152.htm","linkFileType":{"id":5,"text":"html"},"description":"78152"}],"scale":"1","country":"United States","state":"Montana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,46.5 ], [ -111,47 ], [ -110,47 ], [ -110,46.5 ], [ -111,46.5 ] ] ] } } ] }","edition":"Version 1.1","publicComments":"Version 1.1 is released to (a) revise on the basis of new fossil evidence the Cretaceous stratigraphy and nomenclature for strata the southeast part of the quadrangle, and (b) modify several line and polygon codes.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e530","contributors":{"authors":[{"text":"Reynolds, Mitchell W. 0000-0002-9966-3896 mwreynol@usgs.gov","orcid":"https://orcid.org/0000-0002-9966-3896","contributorId":4641,"corporation":false,"usgs":true,"family":"Reynolds","given":"Mitchell","email":"mwreynol@usgs.gov","middleInitial":"W.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":289492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Theodore R. 0000-0002-7862-9082 tbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-7862-9082","contributorId":1267,"corporation":false,"usgs":true,"family":"Brandt","given":"Theodore","email":"tbrandt@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":289491,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":79278,"text":"fs20063120 - 2006 - Ground-water modeling of the Death Valley Region, Nevada and California","interactions":[],"lastModifiedDate":"2017-07-13T10:58:22","indexId":"fs20063120","displayToPublicDate":"2006-10-30T00:00:00","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":"2006-3120","title":"Ground-water modeling of the Death Valley Region, Nevada and California","docAbstract":"The Death Valley regional ground-water flow system (DVRFS) of southern Nevada and eastern California covers an area of about 100,000 square kilometers and contains very complex geology and hydrology. Using a computer model to represent the complex system, the U.S. Geological Survey simulated ground-water flow in the Death Valley region for use with U.S. Department of Energy projects in southern Nevada. The model was created to help address contaminant cleanup activities associated with the underground nuclear testing conducted from 1951 to 1992 at the Nevada Test Site and to support the licensing process for the proposed geologic repository for high-level nuclear waste at Yucca Mountain, Nevada. \r\n","language":"English","publisher":"U.S. Geological Society","publisherLocation":"Henderson, NV","doi":"10.3133/fs20063120","usgsCitation":"Belcher, W., Faunt, C., Sweetkind, D.S., Blainey, J., San Juan, C.A., Laczniak, R.J., and Hill, M.C., 2006, Ground-water modeling of the Death Valley Region, Nevada and California (Version 1.0): U.S. Geological Survey Fact Sheet 2006-3120, 6 p., https://doi.org/10.3133/fs20063120.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":125001,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2006_3120.jpg"},{"id":8759,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2006/3120/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.10302734374999,\n 35.02999636902566\n ],\n [\n -114.7412109375,\n 35.02999636902566\n ],\n [\n -114.7412109375,\n 38.324420427006544\n ],\n [\n -118.10302734374999,\n 38.324420427006544\n ],\n [\n -118.10302734374999,\n 35.02999636902566\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d5bd","contributors":{"authors":[{"text":"Belcher, W.R.","contributorId":30667,"corporation":false,"usgs":true,"family":"Belcher","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":289559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faunt, C.C. 0000-0001-5659-7529","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":103314,"corporation":false,"usgs":true,"family":"Faunt","given":"C.C.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":289565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sweetkind, D. S.","contributorId":61507,"corporation":false,"usgs":true,"family":"Sweetkind","given":"D.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":289563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blainey, J.B.","contributorId":65563,"corporation":false,"usgs":true,"family":"Blainey","given":"J.B.","affiliations":[],"preferred":false,"id":289564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"San Juan, C. A. 0000-0002-9151-1919","orcid":"https://orcid.org/0000-0002-9151-1919","contributorId":42619,"corporation":false,"usgs":true,"family":"San Juan","given":"C.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":289560,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Laczniak, R. J.","contributorId":46104,"corporation":false,"usgs":true,"family":"Laczniak","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":289561,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hill, M. C.","contributorId":48993,"corporation":false,"usgs":true,"family":"Hill","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":289562,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":79275,"text":"sir20065107 - 2006 - Nutrients in streams and rivers across the nation — 1992–2001","interactions":[],"lastModifiedDate":"2022-02-22T21:00:25.466892","indexId":"sir20065107","displayToPublicDate":"2006-10-30T00:00:00","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":"2006-5107","title":"Nutrients in streams and rivers across the nation — 1992–2001","docAbstract":"Nutrient compounds of nitrogen and phosphorus were investigated in streams and rivers sampled as part of the U.S. Geological Survey National Water-Quality Assessment (NAWQA) Program. Nutrient data were collected in 20 NAWQA study units during 1992-95, 16 study units during 1996-98, and 15 study units during 1999-2001. To facilitate comparisons among sampling sites with variable sampling frequency, daily loads were determined by using regression models that relate constituent transport to streamflow and time. Model results were used to compute mean annual loads, yields, and concentrations of ammonia, nitrate, total nitrogen, orthophosphate, and total phosphorus, which were compared among stream and river sampling sites. Variations in the occurrence and distribution of nutrients in streams and rivers on a broad national scale reflect differences in the sources of nutrient inputs to the upstream watersheds and in watershed characteristics that affect movement of those nutrients.
Sites were classified by watershed size and by land use in the upstream watershed: agriculture, urban, and undeveloped (forest or rangeland). Selection of NAWQA urban sites was intended to avoid effects of major wastewater-treatment plants and other point sources, but in some locations this was not feasible. Nutrient concentrations and yields generally increased with anthropogenic development in the watershed. Median concentrations and yields for all constituents at sites downstream from undeveloped areas were less than at sites downstream from agricultural or urban areas. Concentrations of ammonia, orthophosphate, and total phosphorus at agricultural and urban sites were not significantly different; however, concentrations of nitrate and total nitrogen were higher at agricultural than at urban sites. Total nitrogen concentrations at agricultural sites were higher in areas of high nitrogen input or enhanced transport, such as irrigation or artificial drainage that can rapidly move water from cropland to streams (Midwest, Northern Plains, and western areas of the United States). Concentrations were lower in the Southeast, where more denitrification occurs during transport of nitrogen compounds in shallow ground water. At urban sites, high concentrations of ammonia and orthophosphate were more prevalent downstream from wastewater-treatment plants. At sites with large watersheds and high mean-annual streamflow (“large-watershed” sites), concentrations of most nutrients were significantly less than at sites downstream from agricultural or urban areas. Total nitrogen concentrations at large-watershed sites were higher in Midwest agricultural areas and lower in the Western United States, where agricultural and urban development is less extensive. Total phosphorus concentrations at large-watershed sites were higher in areas of greater potential erosion and low overall runoff such as the arid areas in the West.
Although not as distinct as seasonal patterns of streamflow, geographic patterns of seasonally high and low concentrations of total nitrogen and total phosphorus were identified in the data. Seasonal patterns in concentrations of total nitrogen generally mirror seasonal patterns in streamflow in the humid Eastern United States but are inverse to seasonal patterns in streamflow in the semiarid interior West. Total phosphorus concentrations typically have the opposite regional relation with streamflow; high concentrations coincide with high streamflows in the interior West.
In the NAWQA Program, sites downstream from relatively undeveloped areas were selected to provide a baseline for comparison to sites with potential effects of urban development and agriculture. Concentrations of nitrate, total nitrogen, and total phosphorus at NAWQA undeveloped sites were found to be greater than values reported by other studies for conditions of essentially no development (background conditions). Concentrations at NAWQA undeveloped sites represent conditions of relatively little development and provide insight in comparison to developed areas but should not, in general, be considered to represent background status.
The U.S. Environmental Protection Agency has developed nutrient criteria to assist States in setting regional water-quality standards. Regional criteria were exceeded by total nitrogen concentrations at 72 percent of NAWQA undeveloped sites and by total phosphorus concentrations at 89 percent of these sites. Exceedances were even more extensive at sites with greater anthropogenic development upstream. The nitrogen criteria were exceeded at 96 percent of NAWQA sites classified as agricultural, urban, or mixed land use, and the phosphorus criteria were exceeded at 97 percent of these sites.
Nationally, outflow loads of all nutrient constituents were strongly correlated to nonpoint-source inputs in the upstream watershed. The variation in input mass explained at least 69 percent of the variation in loads. Correlations between nonpoint-source input rates and outflow yields were not quite as good; variation in input rates explained only about 22-45 percent of the variations in nutrient yields. Estimation of nutrient outflow, on the basis of these correlations, likely could be improved if nationally consistent data were available for additional watershed characteristics.
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mueller@usgs.gov","contributorId":1585,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"mueller@usgs.gov","middleInitial":"K.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":289552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spahr, Norman E. nspahr@usgs.gov","contributorId":1977,"corporation":false,"usgs":true,"family":"Spahr","given":"Norman","email":"nspahr@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":289553,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":79204,"text":"ofr20061304 - 2006 - Preliminary integrated geologic map databases for the United States: Digital data for the generalized bedrock geologic map, Yukon Flats region, east-central Alaska","interactions":[],"lastModifiedDate":"2022-10-04T20:54:57.216072","indexId":"ofr20061304","displayToPublicDate":"2006-10-07T00:00:00","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":"2006-1304","title":"Preliminary integrated geologic map databases for the United States: Digital data for the generalized bedrock geologic map, Yukon Flats region, east-central Alaska","docAbstract":"The growth in the use of Geographic Information Systems (GIS) has highlighted the need for digital geologic maps that have been attributed with information about age and lithology. Such maps can be conveniently used to generate derivative maps for manifold special purposes such as mineral-resource assessment, metallogenic studies, tectonic studies, and environmental research. This report is part of a series of integrated geologic map databases that cover the entire United States. Three national-scale geologic maps that portray most or all of the United States already exist; for the conterminous U.S., King and Beikman (1974a,b) compiled a map at a scale of 1:2,500,000, Beikman (1980) compiled a map for Alaska at 1:2,500,000 scale, and for the entire U.S., Reed and others (2005a,b) compiled a map at a scale of 1:5,000,000. A digital version of the King and Beikman map was published by Schruben and others (1994). Reed and Bush (2004) produced a digital version of the Reed and others (2005a) map for the conterminous U.S. The present series of maps is intended to provide the next step in increased detail. State geologic maps that range in scale from 1:100,000 to 1:1,000,000 are available for most of the country, and digital versions of these state maps are the basis of this product. The digital geologic maps presented here are in a standardized format as ARC/INFO export files and as ArcView shape files. Data tables that relate the map units to detailed lithologic and age information accompany these GIS files. The map is delivered as a set 1:250,000-scale quadrangle files. To the best of our ability, these quadrangle files are edge-matched with respect to geology. When the maps are merged, the combined attribute tables can be used directly with the merged maps to make derivative maps.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061304","usgsCitation":"Till, A.B., Dumoulin, J.A., Phillips, J.D., Stanley, R.G., and Crews, J., 2006, Preliminary integrated geologic map databases for the United States: Digital data for the generalized bedrock geologic map, Yukon Flats region, east-central Alaska: U.S. Geological Survey Open-File Report 2006-1304, HTML Document, https://doi.org/10.3133/ofr20061304.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":194554,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":398766,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_77848.htm"},{"id":8657,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1304/","linkFileType":{"id":5,"text":"html"}}],"scale":"500000","country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153,\n 65\n ],\n [\n -141,\n 65\n ],\n [\n -141,\n 68\n ],\n [\n -153,\n 68\n ],\n [\n -153,\n 65\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abce4b07f02db672cf4","contributors":{"authors":[{"text":"Till, Alison B. atill@usgs.gov","contributorId":2482,"corporation":false,"usgs":true,"family":"Till","given":"Alison","email":"atill@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":289358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":289355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phillips, Jeffrey D. 0000-0002-6459-2821 jeff@usgs.gov","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":1572,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffrey","email":"jeff@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":289356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":289357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crews, Jessie","contributorId":89996,"corporation":false,"usgs":true,"family":"Crews","given":"Jessie","email":"","affiliations":[],"preferred":false,"id":289359,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":79225,"text":"ds216 - 2006 - Base-flow yields of watersheds in the Berkeley County area, West Virginia","interactions":[],"lastModifiedDate":"2024-12-05T17:32:29.87068","indexId":"ds216","displayToPublicDate":"2006-10-07T00:00:00","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":"216","title":"Base-flow yields of watersheds in the Berkeley County area, West Virginia","docAbstract":"Base-flow yields at approximately 50 percent of the annual mean ground-water recharge rate were estimated for watersheds in the Berkeley County area, W.Va. These base-flow yields were determined from two sets of discharge measurements made July 25-28, 2005, and May 4, 2006. Two sections of channel along Opequon Creek had net flow losses that are expressed as negative base-flow watershed yields; these and other base-flow watershed yields in the eastern half of the study area ranged from -940 to 2,280 gallons per day per acre ((gal/d)/acre) and averaged 395 (gal/d)/acre. The base-flow yields for watersheds in the western half of the study area ranged from 275 to 482 (gal/d)/acre and averaged 376 (gal/d)/acre.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds216","usgsCitation":"Evaldi, R.D., and Paybins, K.S., 2006, Base-flow yields of watersheds in the Berkeley County area, West Virginia: U.S. Geological Survey Data Series 216, Report: 4 p.; 1 Figure: 22.00 x 34.00 inches, https://doi.org/10.3133/ds216.","productDescription":"Report: 4 p.; 1 Figure: 22.00 x 34.00 inches","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":191569,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8681,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/216/index.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"West Virginia","county":"Berkeley County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.25,39.166666666666664 ], [ -78.25,39.666666666666664 ], [ -77.75,39.666666666666664 ], [ -77.75,39.166666666666664 ], [ -78.25,39.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db64884c","contributors":{"authors":[{"text":"Evaldi, Ronald D.","contributorId":103329,"corporation":false,"usgs":true,"family":"Evaldi","given":"Ronald","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":289420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paybins, Katherine S. 0000-0002-3967-5043 kpaybins@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-5043","contributorId":2805,"corporation":false,"usgs":true,"family":"Paybins","given":"Katherine","email":"kpaybins@usgs.gov","middleInitial":"S.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289419,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":79221,"text":"ds185 - 2006 - Thematic mapper-derived mineral distribution maps of Idaho, Nevada, and western Montana","interactions":[],"lastModifiedDate":"2012-02-10T00:11:43","indexId":"ds185","displayToPublicDate":"2006-10-07T00:00:00","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":"185","title":"Thematic mapper-derived mineral distribution maps of Idaho, Nevada, and western Montana","docAbstract":"This report provides mineral distribution maps based on TM spectral information of minerals commonly associated with hydrothermal alteration in Nevada, Idaho, and western Montana. The product of the processing is provided as four ESRI GRID files with 30 m resolution by state. UTM Zone 11 projection is used for Nevada (grid clsnv) and western Idaho (grid clsid), UTM Zone 12 is used for eastern Idaho and western Montana (grid clsid_mt). A fourth grid with a special Albers projection is used for the Headwaters project covering Idaho and western Montana (grid crccls_hs). Symbolization for all four grids is stored in the ESRI layer or LYR files and color or CLR files. Objectives of the analyses were to cover a large area very quickly and to provide data that could be used at a scale of 1:100,000 or smaller. Thus, the image processing was standardized for speed while still achieving the desired 1:100,000-scale level of detail. Consequently, some subtle features of mineralogy may be missed.\r\n\r\nThe hydrothermal alteration data were not field checked to separate mineral occurrences due to hydrothermal alteration from those due to other natural occurrences. The data were evaluated by overlaying the results with 1:100,000 scale topographic maps to confirm correlation with known mineralized areas. The data were also tested in the Battle Mountain area of north-central Nevada by a weights-of-evidence correlation analysis with metallic mineral sites from the USGS Mineral Resources Data System and were found to have significant spatial correlation. On the basis of on these analyses, the data are considered useful for regional studies at scales of 1:100,000. ","language":"ENGLISH","doi":"10.3133/ds185","usgsCitation":"Raines, G.L., 2006, Thematic mapper-derived mineral distribution maps of Idaho, Nevada, and western Montana (Version 1.0): U.S. Geological Survey Data Series 185, 14 p. pamphlet; online spatial data, https://doi.org/10.3133/ds185.","productDescription":"14 p. pamphlet; online spatial data","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":658,"text":"Western Mineral Resources","active":false,"usgs":true}],"links":[{"id":194643,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8676,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/185/","linkFileType":{"id":5,"text":"html"}},{"id":8677,"rank":9999,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/2006/185/version_history.txt","linkFileType":{"id":2,"text":"txt"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122,33 ], [ -122,50 ], [ -104,50 ], [ -104,33 ], [ -122,33 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fadab","contributors":{"authors":[{"text":"Raines, Gary L.","contributorId":48162,"corporation":false,"usgs":true,"family":"Raines","given":"Gary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":289408,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70231302,"text":"ofr20061315 - 2006 - Creation of GIS compatible, historic detailed soil data sets for the Collier and Miami-Dade Counties, Florida","interactions":[],"lastModifiedDate":"2025-04-18T15:15:45.994684","indexId":"ofr20061315","displayToPublicDate":"2006-10-01T00:00:00","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":"2006-1315","displayTitle":"Creation of GIS Compatible, Hstoric Detailed Soil Data Sets for the Collier and Miami-Dade Counties, Florida","title":"Creation of GIS compatible, historic detailed soil data sets for the Collier and Miami-Dade Counties, Florida","docAbstract":"When soils data are in digital format compatible with geographic information systems (GIS), a wide variety of analyses and display capabilities are afforded. Detailed information on soils that may be important to Everglades ecosystem restoration has been created in hardcopy form using traditional soils mapping techniques. However, accurate conversion of these analogue geographic data to GIS compatible information is a complicated process. Because detailed digital soils data for Southern Florida were not yet available from the US Department of Agriculture, the U.S. Geological Survey (USGS) Eastern Geographic Science Center (EGSC) developed a means for digitizing and attributing historic soil survey data for GIS analysis. This report documents that process and the two soil survey datasets created through it, one for Collier and one for Miami-Dade Counties in Florida. First, the sources for the soils data are described. Then the approach used to determine how data would be collected and organized is provided, followed by details of the spatial data collection and attribute data encoding.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061315","usgsCitation":"Jones, John. 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Water Science Center
U.S. Geological Survey
3321 College Avenue
Davie, FL 33314
The U.S. Geological Survey, in cooperation with the Iowa Department of Natural Resources (IDNR), conducted bathymetric surveys on four lakes in Iowa during 2003 (Don Williams Lake, Easter Lake, Lake Macbride, and Lake Meyer). The purpose of the surveys is to provide the IDNR with information for the development of total maximum daily load (TMDL) limits, in particular, for estimating sediment load and deposition rates. The bathymetric surveys can provide a baseline for future work on sediment loads and deposition rates for these lakes. All lakes surveyed in 2003 are man-made lakes with fixed spillways.
\nBathymetric data were collected using boat-mounted, differential global positioning system (GPS) equipment, echo depth-sounding equipment, and computer software. Data were processed with commercial hydrographic software and exported into a geographic information system (GIS) for mapping and calculation of area and volume. Lake volume estimates ranged from 590,501,000 cubic feet (13,600 acre-feet) at Lake Macbride to 17,831,000 cubic feet (410 acre-feet) at Lake Meyer. Surface area estimates ranged from 38,118,000 square feet (875 acres) at Lake Macbride to 1,373,000 square feet (32 acres) at Lake Meyer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim2933","collaboration":"Prepared in cooperation with the Iowa Department of Natural Resources","usgsCitation":"Linhart, S., and Lund, K.D., 2006, Bathymetric contour maps for lakes surveyed in Iowa in 2003: U.S. Geological Survey Scientific Investigations Map 2933, 4 map sheets, each 38 x 31 in., https://doi.org/10.3133/sim2933.","productDescription":"4 map sheets, each 38 x 31 in.","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2003-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":194377,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8640,"rank":100,"type":{"id":15,"text":"Index 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db6487e1","contributors":{"authors":[{"text":"Linhart, S. Mike","contributorId":61073,"corporation":false,"usgs":true,"family":"Linhart","given":"S. Mike","affiliations":[],"preferred":false,"id":289320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lund, Kris D. kdlund@usgs.gov","contributorId":1958,"corporation":false,"usgs":true,"family":"Lund","given":"Kris","email":"kdlund@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":289319,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":79147,"text":"sim2877 - 2006 - Geologic map of the Wrangell-Saint Elias National Park and Preserve, Alaska","interactions":[],"lastModifiedDate":"2022-01-06T21:18:07.347263","indexId":"sim2877","displayToPublicDate":"2006-09-20T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2877","title":"Geologic map of the Wrangell-Saint Elias National Park and Preserve, Alaska","docAbstract":"Wrangell-Saint Elias National Park and Preserve, the largest national park within the U.S. National Park Service system, extends from the northern Pacific Ocean to beyond the eastern Alaska Range into interior Alaska. It features impressively spectacular scenery such as high and craggy mountains, active and ancient volcanoes, expansive ice fields, immense tidewater glaciers, and a myriad of alpine glaciers. The park also includes the famous Kennecott Mine, a world-class copper deposit that was mined from 1911 to 1938, and remnant ghost town, which is now a National Historic Landmark. \r\n\r\nGeologic investigations encompassing Wrangell-Saint Elias National Park and Preserve began in 1796, with Dmitriv Tarkhanov, a Russian mining engineer, who unsuccessfully ventured up the Copper River in search of rumored copper. Lieutenant H.T. Allen (1897) of the U.S. Army made a successful epic summer journey with a limited military crew up the Copper River in 1885, across the Alaska Range, and down the Tanana and Yukon Rivers. Allen?s crew was supported by a prospector named John Bremner and local Eyak and Ahtna native guides whose tribes controlled access into the Copper River basin. Allen witnessed the Ahtnas? many uses of the native copper. His stories about the copper prompted prospectors to return to this area in search of the rich copper ore in the years following his journey. The region boasts a rich mining and exploration history prior to becoming a park in 1980. Several U.S. Geological Survey geologists have conducted reconnaissance surveys in the area since Allen?s explorations. This map is the result of their work and is enhanced by more detailed investigations, which began in the late 1950s and are still continuing. For a better understanding of the processes that have shaped the geology of the park and a history of the geologic investigations in the area, we recommend U.S. Geological Survey Professional Paper 1616, ?A Geologic Guide to Wrangell-Saint Elias National Park and Preserve, Alaska,? an exceptionally well illustrated and informative book by Gary R. Winkler, 2000. \r\n\r\nGeologically, the park consists of a collage of seven tectonostratigraphic terranes that formed south in the equatorial Pacific Ocean and rafted northward on oceanic plates, eventually accreting to Alaska and the North American continent. Each terrane features a distinct stratigraphy and is separated from neighboring terranes by major strike-slip or thrust faults.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim2877","isbn":"1411305043","usgsCitation":"2006, Geologic map of the Wrangell-Saint Elias National Park and Preserve, Alaska: U.S. Geological Survey Scientific Investigations Map 2877, Report: 15 p.; 1 Plate: 62 x 43 inches, https://doi.org/10.3133/sim2877.","productDescription":"Report: 15 p.; 1 Plate: 62 x 43 inches","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":195537,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8774,"rank":9999,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/2006/2877/version_history.txt","linkFileType":{"id":2,"text":"txt"}},{"id":8775,"rank":9999,"type":{"id":21,"text":"Referenced Work"},"url":"https://pubs.usgs.gov/pp/p1616/","linkFileType":{"id":5,"text":"html"}},{"id":8773,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2006/2877/","linkFileType":{"id":5,"text":"html"}},{"id":110684,"rank":700,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78283.htm","linkFileType":{"id":5,"text":"html"},"description":"78283"}],"scale":"50000","country":"United States","state":"Alaska","otherGeospatial":"Wrangell-Saint Elias National Park and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -145.85,\n 59.4814\n ],\n [\n -138.9,\n 59.4814\n ],\n [\n -138.9,\n 62.8147\n ],\n [\n -145.85,\n 62.8147\n ],\n [\n -145.85,\n 59.4814\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a83fd","contributors":{"compilers":[{"text":"Richter, Donald H.","contributorId":61021,"corporation":false,"usgs":true,"family":"Richter","given":"Donald","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":697592,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Preller, Cindi C.","contributorId":55898,"corporation":false,"usgs":true,"family":"Preller","given":"Cindi","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":697593,"contributorType":{"id":3,"text":"Compilers"},"rank":2},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":2097,"corporation":false,"usgs":true,"family":"Labay","given":"Keith A.","email":"klabay@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":false,"id":697594,"contributorType":{"id":3,"text":"Compilers"},"rank":3},{"text":"Shew, Nora B. 0000-0003-0025-7220 nshew@usgs.gov","orcid":"https://orcid.org/0000-0003-0025-7220","contributorId":3382,"corporation":false,"usgs":true,"family":"Shew","given":"Nora","email":"nshew@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":697595,"contributorType":{"id":3,"text":"Compilers"},"rank":4}]}} ,{"id":79134,"text":"sir20065188 - 2006 - Annual trace-metal load estimates and flow-weighted concentrations of cadmium, lead, and zinc, in the Spokane River basin, Idaho and Washington, 1999-2004","interactions":[],"lastModifiedDate":"2022-01-27T20:41:45.606501","indexId":"sir20065188","displayToPublicDate":"2006-09-16T00:00:00","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":"2006-5188","title":"Annual trace-metal load estimates and flow-weighted concentrations of cadmium, lead, and zinc, in the Spokane River basin, Idaho and Washington, 1999-2004","docAbstract":"Streamflow and trace-metal concentration data collected at 10 locations in the Spokane River basin of northern Idaho and eastern Washington during 1999-2004 were used as input for the U.S. Geological Survey software, LOADEST, to estimate annual loads and mean flow-weighted concentrations of total and dissolved cadmium, lead, and zinc.
Cadmium composed less than 1 percent of the total metal load at all stations; lead constituted from 6 to 42 percent of the total load at stations upstream from Coeur d’Alene Lake and from 2 to 4 percent at stations downstream of the lake. Zinc composed more than 90 percent of the total metal load at 6 of the 10 stations examined in this study.
Trace-metal loads were lowest at the station on Pine Creek below Amy Gulch, where the mean annual total cadmium load for 1999–2004 was 39 kilograms per year (kg/yr), the mean estimated total lead load was about 1,700 kg/yr, and the mean annual total zinc load was 14,000 kg/yr. The trace-metal loads at stations on North Fork Coeur d’Alene River at Enaville, Ninemile Creek, and Canyon Creek also were relatively low.
Trace-metal loads were highest at the station at Coeur d’Alene River near Harrison. The mean annual total cadmium load was 3,400 kg/yr, the mean total lead load was 240,000 kg/yr, and the mean total zinc load was 510,000 kg/yr for 1999–2004. Trace-metal loads at the station at South Fork Coeur d’Alene River near Pinehurst and the three stations on the Spokane River downstream of Coeur d’Alene Lake also were relatively high. Differences in metal loads, particularly lead, between stations upstream and downstream of Coeur d’Alene Lake likely are due to trapping and retention of metals in lakebed sediments.
LOADEST software was used to estimate loads for water years 1999–2001 for many of the same sites discussed in this report. Overall, results from this study and those from a previous study are in good agreement. Observed differences between the two studies are attributable to streamflow differences in the two regression models, 1999–2001 and 1999-2004.
Flow-weighted concentrations (FWCs) calculated from the estimated loads for 1999–2004 were examined to aid interpretation of metal load estimates, which were influenced by large spatial and temporal variations in streamflow. FWCs of total cadmium ranged from 0.04 micrograms per liter (µg/L) at Enaville to 14 µg/L at Ninemile Creek. Total lead FWCs were lowest at Long Lake (1.3 µg/L) and highest at Ninemile Creek (120 µg/L). Elevated total lead FWCs at Harrison confirmed that the high total lead loads at this station were not simply due to higher streamflow. Conversely, relatively low total lead loads combined with high total lead FWCs at Ninemile and Canyon Creeks reflected low streamflow but high concentrations of total lead. Very low total lead FWCs (1.3 to 2.7 µg/L) at the stations downstream of Coeur d’Alene Lake are a result both of deposition of lead-laden sediments in the lake and dilution by additional streamflow. Total zinc FWCs also demonstrated the effect of streamflow on load calculations, and highlighted source areas for zinc in the basin. Total zinc FWCs at Canyon and Ninemile Creeks, 1,600 µg/L and 2,200 µg/L, respectively, were by far the highest in the basin but contributed among the lowest total zinc loads due to their relatively low streamflow. Total zinc FWCs ranged from 38 to 67 µg/L at stations downstream of Coeur d’Alene Lake, but total zinc load estimates at these stations were relatively high because of high mean streamflow compared to other stations in the basin.
Long-term regression models for 1991 to 2003 or 2004 were developed and annual trace-metal loads and FWCs were estimated for Pinehurst, Enaville, Harrison, and Post Falls to better understand the variability of metal loading with time. Long-term load estimates are similar to the results for 1999‑2004 in terms of spatial distribution of metal loads throughout the basin.
LOADEST results for 1991-2004 indicated that statistically significant downward temporal trends for dissolved and total cadmium, dissolved zinc, and total lead were occurring at Pinehurst, Enaville, Harrison, and Post Falls. Additionally, data for Enaville and Post Falls showed significant downward trends for dissolved lead and total zinc loads; Harrison total zinc loads also decreased with time. The Mann-Kendall trend test results agreed with the LOADEST trend results in most cases, but gave contradictory results for total zinc at Pinehurst and at Post Falls.
Long- and short-term load and flow-weighted concentration estimates yielded valuable information about metal storage and transport processes, and demonstrated that water quality data are a great aid in understanding these processes.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20065188","usgsCitation":"Donato, M.M., 2006, Annual trace-metal load estimates and flow-weighted concentrations of cadmium, lead, and zinc, in the Spokane River basin, Idaho and Washington, 1999-2004: U.S. Geological Survey Scientific Investigations Report 2006-5188, vi, 38 p., https://doi.org/10.3133/sir20065188.","productDescription":"vi, 38 p.","numberOfPages":"44","additionalOnlineFiles":"Y","temporalStart":"1994-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":194376,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":395005,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_77639.htm"},{"id":8580,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5188/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho, Washington","otherGeospatial":"Spokane River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118,\n 47.3333\n ],\n [\n -115.6667,\n 47.3333\n ],\n [\n -115.6667,\n 47.9167\n ],\n [\n -118,\n 47.9167\n ],\n [\n -118,\n 47.3333\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67b809","contributors":{"authors":[{"text":"Donato, Mary M.","contributorId":30962,"corporation":false,"usgs":true,"family":"Donato","given":"Mary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":289196,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}