{"pageNumber":"903","pageRowStart":"22550","pageSize":"25","recordCount":46734,"records":[{"id":79333,"text":"fs20063118 - 2006 - Strength in Numbers: Describing the Flooded Area of Isolated Wetlands","interactions":[],"lastModifiedDate":"2012-02-02T00:14:09","indexId":"fs20063118","displayToPublicDate":"2006-11-16T00:00:00","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":"2006-3118","title":"Strength in Numbers: Describing the Flooded Area of Isolated Wetlands","docAbstract":"Thousands of isolated, freshwater wetlands are scattered across the karst1 landscape of central Florida. Most are small (less than 15 acres), shallow, marsh and cypress wetlands that flood and dry seasonally. Wetland health is threatened when wetland flooding patterns are altered either by human activities, such as land-use change and ground-water pumping, or by changes in climate. Yet the small sizes and vast numbers of isolated wetlands in Florida challenge our efforts to characterize them collectively as a statewide water resource. In the northern Tampa Bay area of west-central Florida alone, water levels are measured monthly in more than 400 wetlands by the Southwest Florida Water Management Distirct (SWFWMD). Many wetlands have over a decade of measurements.\r\n      The usefulness of long-term monitoring of wetland water levels would greatly increase if it described not just the depth of water at a point in the wetland, but also the amount of the total wetland area that was flooded. Water levels can be used to estimate the flooded area of a wetland if the elevation contours of the wetland bottom are determined by bathymetric mapping.\r\n      Despite the recognized importance of the flooded area to wetland vegetation, bathymetric maps are not available to describe the flooded areas of even a representative number of Florida's isolated wetlands. Information on the bathymetry of isolated wetlands is rare because it is labor intensive to collect the land-surface elevation data needed to create the maps. \r\n      Five marshes and five cypress wetlands were studied by the U.S. Geological Survey (USGS) during 2000 to 2004 as part of a large interdisciplinary study of isolated wetlands in central Florida. The wetlands are located either in municipal well fields or on publicly owned lands (fig. 1). The 10 wetlands share similar geology and climate, but differ in their ground-water settings. All have historical water-level data and multiple vegetation surveys. \r\n      A comprehensive report by Haag and others (2005) documents bathymetric mapping approaches, the frequency of flooding in different areas of the wetlands, and the relation between flooding and vegetation in these wetlands. This fact sheet describes bathymetric mapping approaches and partial results from two natural marshes (Hillsborough River State Park Marsh, and Green Swamp Marsh) and one impaired marsh (W-29 Marsh) that is located on a municipal well field and is affected by ground-water withdrawals. (fig. 1). ","language":"ENGLISH","doi":"10.3133/fs20063118","usgsCitation":"Lee, T.M., and Haag, K.H., 2006, Strength in Numbers: Describing the Flooded Area of Isolated Wetlands: U.S. Geological Survey Fact Sheet 2006-3118, 4 p., https://doi.org/10.3133/fs20063118.","productDescription":"4 p.","numberOfPages":"4","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":8822,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2006/3118/","linkFileType":{"id":5,"text":"html"}},{"id":125034,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2006_3118.jpg"},{"id":8880,"rank":9999,"type":{"id":21,"text":"Referenced Work"},"url":"https://pubs.usgs.gov/sir/2005/5109/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4c5c","contributors":{"authors":[{"text":"Lee, Terrie M. tmlee@usgs.gov","contributorId":2461,"corporation":false,"usgs":true,"family":"Lee","given":"Terrie","email":"tmlee@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":289677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haag, Kim H. khhaag@usgs.gov","contributorId":381,"corporation":false,"usgs":true,"family":"Haag","given":"Kim","email":"khhaag@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":289676,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79316,"text":"ofr20061215 - 2006 - Magnetotelluric Data, Rainier Mesa/Shoshone Mountain, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-02T00:14:20","indexId":"ofr20061215","displayToPublicDate":"2006-11-15T00:00:00","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":"2006-1215","title":"Magnetotelluric Data, Rainier Mesa/Shoshone Mountain, Nevada Test Site, Nevada","docAbstract":"Introduction: \r\nThe United States Department of Energy (DOE) and the National Nuclear Security Administration (NNSA) at their Nevada Site Office (NSO) are addressing ground-water contamination resulting from historical underground nuclear testing through the Environmental Management (EM) program and, in particular, the Underground Test Area (UGTA) project.\r\n\r\nDuring 2005, the U.S. Geological Survey (USGS), in cooperation with the DOE and NNSA-NSO, collected and processed data from twenty-six magnetotelluric (MT) and audio-magnetotelluric (AMT) sites at the Nevada Test Site. The 2005 data stations were located on and near Rainier Mesa and Shoshone Mountain to assist in characterizing the pre-Tertiary geology in those areas. These new stations extend the area of the hydrogeologic study previously conducted in Yucca Flat. The MT data presented in this report will help refine what is known about the character, thickness, and lateral extent of pre Tertiary confining units. Subsequent interpretation will include a three dimensional (3 D) character analysis and a two-dimensional (2 D) resistivity model. The purpose of this report is to release the MT sounding data. No interpretation of the data is included here. \r\n","language":"ENGLISH","doi":"10.3133/ofr20061215","usgsCitation":"Williams, J.M., Sampson, J.A., Rodriguez, B.D., and Asch, T., 2006, Magnetotelluric Data, Rainier Mesa/Shoshone Mountain, Nevada Test Site, Nevada (Version 1.0): U.S. Geological Survey Open-File Report 2006-1215, iii, 243 p., https://doi.org/10.3133/ofr20061215.","productDescription":"iii, 243 p.","numberOfPages":"246","onlineOnly":"Y","costCenters":[],"links":[{"id":194890,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8799,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1215/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6493bf","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":289639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sampson, Jay A.","contributorId":13939,"corporation":false,"usgs":true,"family":"Sampson","given":"Jay","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":289640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":289638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":289641,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79318,"text":"sir20065268 - 2006 - Estimated Effects of Ground-Water Withdrawals on Streamwater Levels of the Pleasant River near Crebo Flats, Maine, July 1 to September 30, 2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:20","indexId":"sir20065268","displayToPublicDate":"2006-11-15T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-5268","title":"Estimated Effects of Ground-Water Withdrawals on Streamwater Levels of the Pleasant River near Crebo Flats, Maine, July 1 to September 30, 2005","docAbstract":"Surface-water data collected at two streamflow-gaging stations on the Pleasant River were analyzed to determine whether ground-water withdrawals from an irrigation well near the Pleasant River have affected streamflows. The relation between the stream-stage data from the two stations shows that stream stage on days when the well was pumped differs from stream stage on days with no pumping, indicating that short-term streamflow depletion occurred. The linear relation defining the relation of stage at the two gaging stations during periods of pumping is significantly different from the linear relation defining the relation of stage at the same two stations during periods of no pumping. The difference between the two linear relations was used to estimate how much short-term streamflow depletion is coincident with ground-water withdrawals. Estimated short-term streamflow depletion varies with stage and ranges from approximately 0.3 to 0.8 cubic feet per second; the relative short-term streamflow depletion ranges from approximately 1.7 to 10 percent.","language":"ENGLISH","doi":"10.3133/sir20065268","usgsCitation":"Dudley, R.W., and Stewart, G.J., 2006, Estimated Effects of Ground-Water Withdrawals on Streamwater Levels of the Pleasant River near Crebo Flats, Maine, July 1 to September 30, 2005: U.S. Geological Survey Scientific Investigations Report 2006-5268, vi, 14 p., https://doi.org/10.3133/sir20065268.","productDescription":"vi, 14 p.","numberOfPages":"20","onlineOnly":"Y","temporalStart":"2005-07-01","temporalEnd":"2005-09-30","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":192307,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8803,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5268/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fdcfa","contributors":{"authors":[{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, Gregory J. gstewart@usgs.gov","contributorId":870,"corporation":false,"usgs":true,"family":"Stewart","given":"Gregory","email":"gstewart@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":289644,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79317,"text":"ofr20061328 - 2006 - Reserve Growth in Oil Fields of West Siberian Basin, Russia","interactions":[],"lastModifiedDate":"2018-08-28T16:20:39","indexId":"ofr20061328","displayToPublicDate":"2006-11-15T00:00:00","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":"2006-1328","title":"Reserve Growth in Oil Fields of West Siberian Basin, Russia","docAbstract":"Although reserve (or field) growth has proven to be an important factor contributing to new reserves in mature petroleum basins, it is still a poorly understood phenomenon. Limited studies show that the magnitude of reserve growth is controlled by several major factors, including (1) the reserve booking and reporting requirements in each country, (2) improvements in reservoir characterization and simulation, (3) application of enhanced oil recovery techniques, and (4) the discovery of new and extensions of known pools in discovered fields. Various combinations of these factors can affect the estimates of proven reserves in particular fields and may dictate repeated estimations of reserves during a field's life. This study explores the reserve growth in the 42 largest oil fields in the West Siberian Basin, which contain about 55 percent of the basin's total oil reserves.\r\n\r\nThe West Siberian Basin occupies a vast swampy plain between the Ural Mountains and the Yenisey River, and extends offshore into the Kara Sea; it is the richest petroleum province in Russia. About 600 oil and gas fields with original reserves of 144 billion barrels of oil (BBO) and more than 1,200 trillion cubic feet of gas (TCFG) have been discovered. The principal oil reserves and most of the oil fields are in the southern half of the basin, whereas the northern half contains mainly gas reserves.\r\n\r\nSedimentary strata in the basin consist of Upper Triassic through Tertiary clastic rocks. Most oil is produced from Neocomian (Lower Cretaceous) marine to deltaic sandstone reservoirs, although substantial oil reserves are also in the marine Upper Jurassic and continental to paralic Lower to Middle Jurassic sequences. The majority of oil fields are in structural traps, which are gentle, platform-type anticlines with closures ranging from several tens of meters to as much as 150 meters (490 feet). Fields producing from stratigraphic traps are generally smaller except for the giant Talin field which contains oil in Jurassic river-valley sandstones. Principal source rocks are organic-rich marine shales of the Volgian (uppermost Jurassic) Bazhenov Formation, which is 30-50 m (98- 164 feet) thick. Bazhenov-derived oils are mostly of medium gravity, and contain 0.8-1.3 percent sulfur and 2-5 percent paraffin. Oils in the Lower to Middle Jurassic clastics were sourced from lacustrine and estuarine shales of the Toarcian Togur Bed. These oils are medium to low gravity, with low sulfur (less than 0.25 percent) and high paraffin (commonly to 10 percent) contents.\r\n\r\nAmong the 42 fields analyzed for reserve growth, 30 fields are located in the Middle Ob region, which includes the Samotlor field with reserves of more than 25 BBO and the Fedorov field with reserves of about 5 BBO. Data used in the study include year of discovery, year of first production, annual and cumulative production, and remaining reserves reported by Russian reserve categories (A+B+C1 and C2) in January of each year. Correlation of these Russian resource categories to U.S. categories of the Society of Petroleum Engineers classification is complex and somewhat uncertain.\r\n\r\nReserve growth in oil fields of West Siberia was calculated using a newly developed Group Growth method, which requires that the total reserve (proven reserve plus cumulative production) of individual fields with an equal length of reserve record be added together starting with discovery year or the first production year. Then the annual growth factor (AGF), which is the ratio of total reserves of two consecutive years, is calculated for all years. Once AGFs have been calculated, the cumulative growth factor (CGF) is calculated by multiplying the AGFs of all the previous years. The CGF data are used to develop reserve growth models.\r\n\r\nThe West Siberian oil fields show a 13-fold reserve growth 20 years after the discovery year and only about a 2-fold growth after the first production year. This difference is attributed to extensive exploration and field delineation activities between the discovery and the first production years. Because of uncertainty in the length of evaluation time and in reported reserves during this initial period, reserve growth based on the first production year is more reliable for model development. However, reserve growth models based both on discovery year and first production year show rapid growth in the first few years and slower growth in the following years. In contrast, the reserve growth patterns for the conterminous United States and offshore Gulf of Mexico show a steady reserve increase throughout the productive lives of the fields. The different reserve booking requirements and the lack of capital investment for improved reservoir management and production technologies in West Siberian fields relative to U.S. fields are the probable causes for the difference in growth patterns.\r\n\r\nReserve growth models based on the first production year predict that the reserve growth potential in the 42 largest oil fields of West Siberia over a five-year period (1998-2003) ranges from 270-330 million barrels or 0.34-0.42 percent per year. For a similar five-year period (1996-2001), models for the conterminous United States predict a growth of 0.54-0.75 percent per year.\r\n\r\nThis abstract presents the contents of a poster prepared for the AAPG Hedberg Research Conference on Understanding World Oil Resources, November 12-17, 2006 - Colorado Springs, Colorado. A paper 'Reserve Growth in Oil Fields of West Siberian Basin, Russia' was published in Natural Resources Research, v. 12, no. 2, June, 2003.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061328","usgsCitation":"Verma, M., and Ulmishek, G.F., 2006, Reserve Growth in Oil Fields of West Siberian Basin, Russia (Version 1.0): U.S. Geological Survey Open-File Report 2006-1328, 96.0 x 42.0 inches, https://doi.org/10.3133/ofr20061328.","productDescription":"96.0 x 42.0 inches","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":192544,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8800,"rank":100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1328/","text":"Index Page","linkFileType":{"id":5,"text":"html"}},{"id":356881,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1328/pdf/of06-1328poster.pdf","text":"Poster","size":"11 MB"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a28e4b07f02db61126f","contributors":{"authors":[{"text":"Verma, Mahendra K. mverma@usgs.gov","contributorId":1027,"corporation":false,"usgs":true,"family":"Verma","given":"Mahendra K.","email":"mverma@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":289642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ulmishek, Gregory F.","contributorId":48971,"corporation":false,"usgs":true,"family":"Ulmishek","given":"Gregory","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":289643,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79310,"text":"ofr20061183 - 2006 - Using packrat middens to assess how grazing influences vegetation change in Glen Canyon National Recreation Area, Utah","interactions":[],"lastModifiedDate":"2024-12-17T14:20:32.324373","indexId":"ofr20061183","displayToPublicDate":"2006-11-02T00:00:00","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":"2006-1183","title":"Using packrat middens to assess how grazing influences vegetation change in Glen Canyon National Recreation Area, Utah","docAbstract":"The fossil and sub-fossil plant macrofossils and pollen\r\ngrains found in packrat middens can serve as important proxies\r\nfor climate and vegetation change in the arid Southwestern\r\nUnited States. A new application for packrat midden research\r\nis in understanding post-settlement vegetation changes caused\r\nby the grazing of domesticated animals. This work examines\r\na series of 27 middens from Glen Canyon National Recreation\r\nArea (GLCA), spanning from 995 yr BP to the present, which\r\ndetail vegetation during the periods just prior to, and following,\r\nthe introduction of domesticated grazers. By comparing\r\nmiddens deposited before and after the start of grazing by\r\ndomesticated sheep and cattle, the effect on the native plant\r\ncommunities through time can be determined. This analysis of\r\nchange through time is augmented by measurements of change\r\nthrough space by contrasting contemporaneous middens from\r\nnearby similar grazed and ungrazed sites. These comparisons\r\nare only made possible by the presence of inaccessible\r\nungrazed areas surrounded by steep cliffs.\r\nMultivariate ordinations of the plant assemblages from\r\npackrat middens demonstrated that even though all middens\r\nwere selected from similar geologic substrates, soils, and\r\nvegetation type, their primary variability was site-to-site. This\r\nsuggests that selecting comparable grazed versus ungrazed\r\nstudy treatments would be difficult, and that two similar sites\r\nseveral kilometers apart should not be assumed to have been\r\nthe same prior to grazing without pre-grazing data. But, the\r\nchanges through time on grazed areas, as well as the differences\r\nbetween grazed and ungrazed areas in the diversity of\r\ncertain taxonomic groups, both suggest that grazing by domesticated\r\nungulates has had a noticeable effect on the vegetation.\r\nThe changes seen through time suggested that grazing lowered\r\nthe number of taxa recorded and lessened the pre-existing\r\ndifferences within sites, homogenizing the resultant plant\r\nassociations.\r\nLate Holocene pre-settlement middens, and modern\r\nmiddens from ungrazed areas, contained more native grasses, skunkbush sumac (Rhus trilobata), blackbrush (Coleogyne\r\nramosissima), winterfat (Krascheninnikovia lanata), Utah serviceberry\r\n(Amelanchier utahensis), and roundleaf buffaloberry\r\n(Shepherdia rotundifolia) than modern middens from grazed\r\nareas. Pollen data supported the macrofossil data, recording\r\ndecreases in pollen of the goosefoot family (Chenopodiaceae),\r\ngrass family (Poaceae), and globemallow (Sphaeralcea spp.)\r\nfrom pre- to post-settlement.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061183","usgsCitation":"Fisher, J.F., Cole, K.L., and Anderson, R.S., 2006, Using packrat middens to assess how grazing influences vegetation change in Glen Canyon National Recreation Area, Utah: U.S. Geological Survey Open-File Report 2006-1183, vi, 55 p., https://doi.org/10.3133/ofr20061183.","productDescription":"vi, 55 p.","numberOfPages":"61","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":194750,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8794,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1183/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Utah","otherGeospatial":"Glen Canyon National Recreation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.31204963537535,\n              37.7008801723826\n            ],\n            [\n              -111.31204963537535,\n              37.12695480528001\n            ],\n            [\n              -110.52613833423678,\n              37.12695480528001\n            ],\n            [\n              -110.52613833423678,\n              37.7008801723826\n            ],\n            [\n              -111.31204963537535,\n              37.7008801723826\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602e8b","contributors":{"authors":[{"text":"Fisher, Jessica F.","contributorId":84464,"corporation":false,"usgs":true,"family":"Fisher","given":"Jessica","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":289626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, Kenneth L.","contributorId":48533,"corporation":false,"usgs":true,"family":"Cole","given":"Kenneth","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":289625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, R. Scott","contributorId":47041,"corporation":false,"usgs":true,"family":"Anderson","given":"R.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":289624,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79304,"text":"sir20065146 - 2006 - Magnitude and Frequency of Floods on Nontidal Streams in Delaware","interactions":[],"lastModifiedDate":"2012-02-02T00:14:07","indexId":"sir20065146","displayToPublicDate":"2006-11-02T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-5146","title":"Magnitude and Frequency of Floods on Nontidal Streams in Delaware","docAbstract":"Reliable estimates of the magnitude and frequency of annual peak flows are required for the economical and safe design of transportation and water-conveyance structures. This report, done in cooperation with the Delaware Department of Transportation (DelDOT) and the Delaware Geological Survey (DGS), presents methods for estimating the magnitude and frequency of floods on nontidal streams in Delaware at locations where streamgaging stations monitor streamflow continuously and at ungaged sites. Methods are presented for estimating the magnitude of floods for return frequencies ranging from 2 through 500 years. These methods are applicable to watersheds exhibiting a full range of urban development conditions. The report also describes StreamStats, a web application that makes it easy to obtain flood-frequency estimates for user-selected locations on Delaware streams.\r\n     Flood-frequency estimates for ungaged sites are obtained through a process known as regionalization, using statistical regression analysis, where information determined for a group of streamgaging stations within a region forms the basis for estimates for ungaged sites within the region. One hundred and sixteen streamgaging stations in and near Delaware with at least 10 years of non-regulated annual peak-flow data available were used in the regional analysis. Estimates for gaged sites are obtained by combining the station peak-flow statistics (mean, standard deviation, and skew) and peak-flow estimates with regional estimates of skew and flood-frequency magnitudes. Example flood-frequency estimate calculations using the methods presented in the report are given for: (1) ungaged sites, (2) gaged locations, (3) sites upstream or downstream from a gaged location, and (4) sites between gaged locations.\r\n     Regional regression equations applicable to ungaged sites in the Piedmont and Coastal Plain Physiographic Provinces of Delaware are presented. The equations incorporate drainage area, forest cover, impervious area, basin storage, housing density, soil type A, and mean basin slope as explanatory variables, and have average standard errors of prediction ranging from 28 to 72 percent. Additional regression equations that incorporate drainage area and housing density as explanatory variables are presented for use in defining the effects of urbanization on peak-flow estimates throughout Delaware for the 2-year through 500-year recurrence intervals, along with suggestions for their appropriate use in predicting development-affected peak flows.\r\n     Additional topics associated with the analyses performed during the study are also discussed, including: (1) the availability and description of more than 30 basin and climatic characteristics considered during the development of the regional regression equations; (2) the treatment of increasing trends in the annual peak-flow series identified at 18 gaged sites, with respect to their relations with maximum 24-hour precipitation and housing density, and their use in the regional analysis; (3) calculation of the 90-percent confidence interval associated with peak-flow estimates from the regional regression equations; and (4) a comparison of flood-frequency estimates at gages used in a previous study, highlighting the effects of various improved analytical techniques.","language":"ENGLISH","doi":"10.3133/sir20065146","usgsCitation":"Ries, K., and Dillow, J., 2006, Magnitude and Frequency of Floods on Nontidal Streams in Delaware: U.S. Geological Survey Scientific Investigations Report 2006-5146, v, 57 p., https://doi.org/10.3133/sir20065146.","productDescription":"v, 57 p.","numberOfPages":"62","costCenters":[],"links":[{"id":192100,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8792,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5146/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6494be","contributors":{"authors":[{"text":"Ries, Kernell G. III kries@usgs.gov","contributorId":1913,"corporation":false,"usgs":true,"family":"Ries","given":"Kernell G.","suffix":"III","email":"kries@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":289618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dillow, Jonathan J.A.","contributorId":18412,"corporation":false,"usgs":true,"family":"Dillow","given":"Jonathan J.A.","affiliations":[],"preferred":false,"id":289619,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79314,"text":"sir20065245 - 2006 - Cadmium risks to freshwater life: derivation and validation of low-effect criteria values using laboratory and field studies","interactions":[],"lastModifiedDate":"2012-03-08T17:16:21","indexId":"sir20065245","displayToPublicDate":"2006-11-02T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-5245","title":"Cadmium risks to freshwater life: derivation and validation of low-effect criteria values using laboratory and field studies","docAbstract":"In 2001, the U.S. Environmental Protection Agency (EPA) released updated aquatic life criteria for cadmium. Since then, additional data on the effects of cadmium to aquatic life have become available from studies supported by the EPA, Idaho Department of Environmental Quality (IDEQ), and the U.S. Geological Survey, among other sources. Updated data on the effects of cadmium to aquatic life were compiled and reviewed and low-effect concentrations were estimated. Low-effect values were calculated using EPA's guidelines for deriving numerical national water-quality criteria for the protection of aquatic organisms and their uses. Data on the short-term (acute) effects of cadmium on North American freshwater species that were suitable for criteria derivation were located for 69 species representing 57 genera and 33 families. For longer-term (chronic) effects of cadmium on North American freshwater species, suitable data were located for 28 species representing 21 genera and 17 families. Both the acute and chronic toxicity of cadmium were dependent on the hardness of the test water. Hardness-toxicity regressions were developed for both acute and chronic datasets so that effects data from different tests could be adjusted to a common water hardness. Hardness-adjusted effects values were pooled to obtain species and genus mean acute and chronic values, which then were ranked by their sensitivity to cadmium. The four most sensitive genera to acute exposures were, in order of increasing cadmium resistance, Oncorhynchus (Pacific trout and salmon), Salvelinus ('char' trout), Salmo (Atlantic trout and salmon), and Cottus (sculpin). The four most sensitive genera to chronic exposures were Hyalella (amphipod), Cottus, Gammarus (amphipod), and Salvelinus. Using the updated datasets, hardness dependent criteria equations were calculated for acute and chronic exposures to cadmium. At a hardness of 50 mg/L as calcium carbonate, the criterion maximum concentration (CMC, or 'acute' criterion) was calculated as 0.75 mug/L cadmium using the hardness-dependent equation CMC = e(0.8403 ? ln(hardness)-3.572) where the 'ln hardness' is the natural logarithm of the water hardness. Likewise, the criterion continuous concentration (CCC, or 'chronic' criterion) was calculated as 0.37 mug/L cadmium using the hardness-dependent equation CCC = (e(0.6247 ? ln(hardness)-3.384)) ? (1.101672 - ((ln hardness) ? 0.041838))).\r\n\r\nUsing data that were independent of those used to derive the criteria, the criteria concentrations were evaluated to estimate whether adverse effects were expected to the biological integrity of natural waters or to selected species listed as threatened or endangered. One species was identified that would not be fully protected by the derived CCC, the amphipod Hyalella azteca. Exposure to CCC conditions likely would lead to population decreases in Hyalella azteca, the food web consequences of which probably would be slight if macroinvertebrate communities were otherwise diverse. Some data also suggested adverse behavioral changes are possible in fish following long-term exposures to low levels of cadmium, particularly in char (genus Salvelinus). Although ambiguous, these data indicate a need to periodically review the literature on behavioral changes in fish following metals exposure as more information becomes available. Most data reviewed indicated that criteria conditions were unlikely to contribute to overt adverse effects to either biological integrity or listed species. If elevated cadmium concentrations that approach the chronic criterion values occur in ambient waters, careful biological monitoring of invertebrate and fish assemblages would be prudent to validate the prediction that the assemblages would not be adversely affected by cadmium at criterion concentrations.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20065245","collaboration":"Prepared in cooperation with the Idaho Department of Environmental Quality","usgsCitation":"Mebane, C.A., 2006, Cadmium risks to freshwater life: derivation and validation of low-effect criteria values using laboratory and field studies: U.S. Geological Survey Scientific Investigations Report 2006-5245, viii, 130 p.; Appendix, https://doi.org/10.3133/sir20065245.","productDescription":"viii, 130 p.; Appendix","numberOfPages":"138","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":125155,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2006_5245.jpg"},{"id":8796,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5245/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f97a0","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289633,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79303,"text":"sir20065140 - 2006 - Chemical and Ecological Health of White Sucker (Catostomus Commersoni) in Rock Creek Park, Washington, D.C., 2003-04","interactions":[],"lastModifiedDate":"2012-02-02T00:14:21","indexId":"sir20065140","displayToPublicDate":"2006-11-02T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-5140","title":"Chemical and Ecological Health of White Sucker (Catostomus Commersoni) in Rock Creek Park, Washington, D.C., 2003-04","docAbstract":"Several classes of chemicals that are known or suspected contaminants were found in bed sediment in Rock Creek, including polyaromatic hydrocarbons (PAHs), phthalate esters, organochlorine pesticides, dioxins and furans, trace metals and metalloids (mercury, arsenic, cadmium, chromium, cobalt, copper, lead, nickel, silver, and zinc), and polychlorinated biphenyls (total PCBs and selected aroclors). Concentrations of many of these chemicals consistently exceeded threshold or chronic-effects guidelines for the protection of aquatic life and often exceeded probable effects levels (PELs).\r\n\r\nExceedance of PELs was dependent on the amount of total organic carbon in the sediments. Concurrent with the collection of sediment-quality data, white sucker (Catostomus commersoni) were evaluated for gross-external and internal-organ anomalies, whole-body burdens of chemical contaminants, and gut contents to determine prey. The histopathology of internal tissues of white sucker was compared to contaminant levels in fish tissue and bed sediment. Gut contents were examined to determine preferential prey and thus potential pathways for the bioaccumulation of chemicals from bed sediments. Male and female fish were tested separately. Lesions and other necroses were observed in all fish collected during both years of sample collection, indicating that fish in Rock Creek have experienced some form of environmental stress. No direct cause and effect was determined for chemical exposure and compromised fish health, but a substantial weight of evidence indicates that white sucker, which are bottom-feeding fish and low-order consumers in Rock Creek, are experiencing some reduction in vitality, possibly due to immunosuppression. Abnormalities observed in gonads of both sexes of white sucker and observations of abnormal behavior during spawning indicated some interruption in reproductive success.\r\n","language":"ENGLISH","doi":"10.3133/sir20065140","usgsCitation":"Miller, C.V., Weyers, H., Blazer, V., and Freeman, M.E., 2006, Chemical and Ecological Health of White Sucker (Catostomus Commersoni) in Rock Creek Park, Washington, D.C., 2003-04: U.S. Geological Survey Scientific Investigations Report 2006-5140, vi, 37 p., https://doi.org/10.3133/sir20065140.","productDescription":"vi, 37 p.","numberOfPages":"43","temporalStart":"2002-10-01","temporalEnd":"2004-09-30","costCenters":[],"links":[{"id":120730,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2006_5140.jpg"},{"id":8818,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5140/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e1e4b07f02db5e4918","contributors":{"authors":[{"text":"Miller, Cherie V. 0000-0001-7765-5919 cvmiller@usgs.gov","orcid":"https://orcid.org/0000-0001-7765-5919","contributorId":863,"corporation":false,"usgs":true,"family":"Miller","given":"Cherie","email":"cvmiller@usgs.gov","middleInitial":"V.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":289615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weyers, Holly S. hsweyers@usgs.gov","contributorId":1457,"corporation":false,"usgs":true,"family":"Weyers","given":"Holly S.","email":"hsweyers@usgs.gov","affiliations":[],"preferred":true,"id":289616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":289614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Mary E.","contributorId":52290,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":289617,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79311,"text":"ofr20061233 - 2006 - Inventory of amphibians and reptiles at Death Valley National Park","interactions":[],"lastModifiedDate":"2012-02-02T00:13:57","indexId":"ofr20061233","displayToPublicDate":"2006-11-02T00:00:00","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":"2006-1233","title":"Inventory of amphibians and reptiles at Death Valley National Park","docAbstract":"As part of the National Park Service Inventory and\r\nMonitoring Program in the Mojave Network, we conducted an\r\ninventory of amphibians and reptiles at Death Valley National\r\nPark in 2002-04. Objectives for this inventory were to: 1)\r\nInventory and document the occurrence of reptile and amphibian\r\nspecies occurring at DEVA, primarily within priority\r\nsampling areas, with the goal of documenting at least 90%\r\nof the species present; 2) document (through collection or\r\nmuseum specimen and literature review) one voucher specimen\r\nfor each species identified; 3) provide a GIS-referenced\r\nlist of sensitive species that are federally or state listed, rare,\r\nor worthy of special consideration that occur within priority\r\nsampling locations; 4) describe park-wide distribution of\r\nfederally- or state-listed, rare, or special concern species; 5)\r\nenter all species data into the National Park Service NPSpecies\r\ndatabase; and 6) provide all deliverables as outlined in the\r\nMojave Network Biological Inventory Study Plan. Methods\r\nincluded daytime and nighttime visual encounter surveys, road\r\ndriving, and pitfall trapping. Survey effort was concentrated\r\nin predetermined priority sampling areas, as well as in areas\r\nwith a high potential for detecting undocumented species. We\r\nrecorded 37 species during our surveys, including two species\r\nnew to the park. During literature review and museum specimen\r\ndatabase searches, we recorded three additional species\r\nfrom DEVA, elevating the documented species list to 40 (four\r\namphibians and 36 reptiles). Based on our surveys, as well\r\nas literature and museum specimen review, we estimate an\r\noverall inventory completeness of 92% for Death Valley and\r\nan inventory completeness of 73% for amphibians and 95%\r\nfor reptiles.\r\nKey Words: Amphibians, reptiles, Death Valley National\r\nPark, Inyo County, San Bernardino County, Esmeralda\r\nCounty, Nye County, California, Nevada, Mojave Desert,\r\nGreat Basin Desert, inventory, NPSpecies.","language":"ENGLISH","doi":"10.3133/ofr20061233","usgsCitation":"Persons, T.B., and Nowak, E., 2006, Inventory of amphibians and reptiles at Death Valley National Park: U.S. Geological Survey Open-File Report 2006-1233, iv, 32 p. : col. ill., col. maps ; 28 cm., https://doi.org/10.3133/ofr20061233.","productDescription":"iv, 32 p. : col. ill., col. maps ; 28 cm.","numberOfPages":"36","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":8795,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://sbsc.wr.usgs.gov/files/pdfs/ofr_2006-1233.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":191619,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48ece4b07f02db55633e","contributors":{"authors":[{"text":"Persons, Trevor B.","contributorId":96354,"corporation":false,"usgs":true,"family":"Persons","given":"Trevor","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":289628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nowak, Erika M.","contributorId":14062,"corporation":false,"usgs":true,"family":"Nowak","given":"Erika M.","affiliations":[],"preferred":false,"id":289627,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79290,"text":"sir20065220 - 2006 - Ground-Water Levels in the Ozark Aquifer along the Viburnum Trend, Southeastern Missouri, 2001-05","interactions":[],"lastModifiedDate":"2012-02-02T00:14:13","indexId":"sir20065220","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":"2006-5220","title":"Ground-Water Levels in the Ozark Aquifer along the Viburnum Trend, Southeastern Missouri, 2001-05","docAbstract":"During 2001, eight monitoring wells were installed along the Viburnum Trend to determine if dewatering of lead-zinc mines in the St. Francois aquifer affected water levels in the surficial Ozark aquifer. The well locations were chosen specifically to investigate the effects of different mining scenarios. Before data collection, much of southern Missouri, including the Viburnum Trend area, experienced a drought that began in late 1999. Dry conditions existed in the area until early 2002, about the time data recorders were installed in the monitoring wells. \r\n\r\nThe water-level data indicate no long-term, continuous water-level declines occurred from 2002 to 2005 at five monitoring wells (VT-2, VT-3, VT-5, VT-6, and VT-7), four of which are over active mining areas. Conversely, these five wells had increasing water levels with time. Another well (VT-4) placed over an active mining area, did have a long-term water-level decline (about 30 foot) that developed during the study. On a local scale, the water-level data from this well reinforces conclusions of previous investigations that report small areas of drawdown in the Ozark aquifer may be present along the Viburnum Trend as the result of mine dewatering. \r\n\r\nA monitoring well (VT-1) installed over an abandoned mine where flooding is occurring showed an increasing water-level trend. Another well (VT-8) installed in an area where mining was expected to occur after well installation showed a lowering ground-water trough in 2004 and 2005. Comparing monthly precipitation and daily mean water-levels differences at these two wells indicates that for most of the period from 2002 to 2005, the converging water-level difference that occurred can be explained by local precipitation differences rather than being mining induced. Local precipitation differences, however, do not explain the 15-foot decrease in water-level difference that was observed during the period January through June 2004.\r\n","language":"ENGLISH","doi":"10.3133/sir20065220","usgsCitation":"Kleeschulte, M.J., 2006, Ground-Water Levels in the Ozark Aquifer along the Viburnum Trend, Southeastern Missouri, 2001-05 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2006-5220, iv, 21 p.; 8 figs.; 3 tables, https://doi.org/10.3133/sir20065220.","productDescription":"iv, 21 p.; 8 figs.; 3 tables","temporalStart":"2001-01-01","temporalEnd":"2005-12-31","costCenters":[],"links":[{"id":190900,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8782,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5220/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d59c","contributors":{"authors":[{"text":"Kleeschulte, Michael J.","contributorId":75891,"corporation":false,"usgs":true,"family":"Kleeschulte","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":289605,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79261,"text":"sir20065229 - 2006 - Water-Quality Conditions of Chester Creek, Anchorage, Alaska, 1998-2001","interactions":[],"lastModifiedDate":"2018-07-07T18:16:39","indexId":"sir20065229","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":"2006-5229","title":"Water-Quality Conditions of Chester Creek, Anchorage, Alaska, 1998-2001","docAbstract":"<p>Between October 1998 and September 2001, the U.S. Geological Survey's National Water-Quality Assessment Program evaluated the water-quality conditions of Chester Creek, a stream draining forest and urban settings in Anchorage, Alaska. Data collection included water, streambed sediments, lakebed sediments, and aquatic organisms samples from urban sites along the stream. Urban land use ranged from less than 1 percent of the basin above the furthest upstream site to 46 percent above the most downstream site. Findings suggest that water quality of Chester Creek declines in the downstream direction and as urbanization in the watershed increases. Water samples were collected monthly and during storms at a site near the stream's mouth (Chester Creek at Arctic Boulevard) and analyzed for major ions and nutrients. Water samples collected during water year 1999 were analyzed for selected pesticides and volatile organic compounds. Concentrations of fecal-indicator bacteria were determined monthly during calendar year 2000. During winter, spring, and summer, four water samples were collected at a site upstream of urban development (South Branch of South Fork Chester Creek at Tank Trail) and five from an intermediate site (South Branch of South Fork Chester Creek at Boniface Parkway). Concentrations of calcium, magnesium, sodium, chloride, and sulfate in water increased in the downstream direction. Nitrate concentrations were similar at the three sites and all were less than the drinking-water standard. About one-quarter of the samples from the Arctic Boulevard site had concentrations of phosphorus that exceeded the U.S. Environmental Protection Agency (USEPA) guideline for preventing nuisance plant growth. Water samples collected at the Arctic Boulevard site contained concentrations of the insecticide carbaryl that exceeded the guideline for protecting aquatic life. Every water sample revealed a low concentration of volatile organic compounds, including benzene, toluene, tetrachloroethylene, methyl tert-butyl ether, and chloroform. No water samples contained volatile organic compounds concentrations that exceeded any USEPA drinking-water standard or guideline. Fecal-indicator bacteria concentrations in water from the Arctic Boulevard site commonly exceeded Federal and State guidelines for water-contact recreation. Concentrations of cadmium, copper, lead, and zinc in streambed sediments increased in the downstream direction. Some concentrations of arsenic, chromium, lead, and zinc in sediments were at levels that can adversely affect aquatic organisms. Analysis of sediment chemistry in successive lakebed-sediment layers from Westchester Lagoon near the stream's mouth provided a record of water-quality trends since about 1970. Concentrations of lead have decreased from peak levels in the mid-1970s, most likely because of removing lead from gasoline and lower lead content in other products. However, concen-trations in recently-deposited lakebed sediments are still about 10 times greater than measured in streambed sediments at the upstream Tank Trail site. Zinc concentrations in lakebed sediments also increased in the early 1970s to levels that exceeded guidelines to protect aquatic life and have remained at elevated but variable levels. Pyrene, benz[a]anthracene, and phenanthrene in lakebed sediments also have varied in concentrations and have exceeded protection guidelines for aquatic life since the 1970s. Concentrations of dichloro-diphenyl-trichloroethane, polychlorinated biphenyls (PCBs), or their by-products generally were highest in lakebed sediments deposited in the 1970s. More recent sediments have concentrations that vary widely and do not show distinct temporal trends. Tissue samples of whole slimy sculpin (Cottus cognatus), a non-migratory species of fish, showed con-centrations of trace elements and organic contaminants. Of the constituents analyzed, only selenium concentra-tions showed levels of potential concern for</p>","language":"English","doi":"10.3133/sir20065229","usgsCitation":"Glass, R.L., and Ourso, R.T., 2006, Water-Quality Conditions of Chester Creek, Anchorage, Alaska, 1998-2001: U.S. Geological Survey Scientific Investigations Report 2006-5229, 32 p., https://doi.org/10.3133/sir20065229.","productDescription":"32 p.","numberOfPages":"40","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1998-10-01","temporalEnd":"2001-09-30","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":192124,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8740,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5229/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd19a","contributors":{"authors":[{"text":"Glass, Roy L.","contributorId":86813,"corporation":false,"usgs":true,"family":"Glass","given":"Roy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":289514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ourso, Robert T. 0000-0002-5952-8681 rtourso@usgs.gov","orcid":"https://orcid.org/0000-0002-5952-8681","contributorId":203207,"corporation":false,"usgs":true,"family":"Ourso","given":"Robert","email":"rtourso@usgs.gov","middleInitial":"T.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":289513,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79274,"text":"sir20065259 - 2006 - The Effectiveness of Cattlemans Detention Basin, South Lake Tahoe, California","interactions":[],"lastModifiedDate":"2018-09-19T18:53:15","indexId":"sir20065259","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":"2006-5259","title":"The Effectiveness of Cattlemans Detention Basin, South Lake Tahoe, California","docAbstract":"Lake Tahoe (Nevada-California) has been designated as an 'outstanding national water resource' by the U.S. Environmental Protection Agency, in part, for its exceptional clarity. Water clarity in Lake Tahoe, however, has been declining at a rate of about one foot per year for more than 35 years. To decrease the amount of sediment and nutrients delivered to the lake by way of alpine streams, wetlands and stormwater detention basins have been installed at several locations around the lake. Although an improvement in stormwater and snowmelt runoff quality has been measured, the effectiveness of the detention basins for increasing the clarity of Lake Tahoe needs further study. It is possible that poor ground-water quality conditions exist beneath the detention basins and adjacent wetlands and that the presence of the basins has altered ground-water flow paths to nearby streams. A hydrogeochemical and ground-water flow modeling study was done at Cattlemans detention basin, situated adjacent to Cold Creek, a tributary to Lake Tahoe, to determine whether the focusing of storm and snowmelt runoff into a confined area has (1) modified the ground-water flow system beneath the detention basin and affected transport of sediment and nutrients to nearby streams and (2) provided an increased source of solutes which has changed the distribution of nutrients and affected nutrient transport rates beneath the basin.\r\n\r\nResults of slug tests and ground-water flow modeling suggest that ground water flows unrestricted northwest across the detention basin through the meadow. The modeling also indicates that seasonal flow patterns and flow direction remain similar from year to year under transient conditions. Model results imply that about 34 percent (0.004 ft3/s) of the total ground water within the model area originates from the detention basin. Of the 0.004 ft3/s, about 45 percent discharges to Cold Creek within the modeled area downstream of the detention basin. The remaining 55 percent of ground water is either consumed by evapotranspiration, is discharged to Cold Creek outside the modeled area downstream of the detention basin, or is discharged directly to Lake Tahoe. Of the 45 percent discharging to Cold Creek, about 9 percent enters directly downstream of the detention basin and 36 percent enters further downstream.\r\n\r\nGeochemical and microbial data suggest that a seasonal variation of chemical constituents and microbe population size is present at most wells. The geochemical data also indicate that construction of Cattlemans detention basin has not substantially changed the composition of the ground water in the area. High concentrations of ammonia, iron, and dissolved organic carbon, low concentrations of sulfate and nitrate, and large populations of sulfate-reducing microbes imply that the major geochemical process controlling nutrient concentrations beneath the detention basin is sulfate reduction. High concentrations of total nitrogen indicate that oxidation of organic carbon is a second important geochemical process occurring beneath the basin. The influx of surface runoff during spring 2002 apparently provided sufficient oxidized organic carbon to produce iron-reducing conditions and an increase in reduced iron, sulfate, and iron-reducing microorganisms. The increase in recharge of oxygenated water to the ground water system beneath the basin in future intervals of increased recharge may eventually redistribute nutrients and speed up transport of dissolved nutrients from the ground water system to Cold Creek.\r\n","language":"ENGLISH","doi":"10.3133/sir20065259","usgsCitation":"Green, J., 2006, The Effectiveness of Cattlemans Detention Basin, South Lake Tahoe, California: U.S. Geological Survey Scientific Investigations Report 2006-5259, viii, 81 p.; 32 figs.; 19 tables; Excel file, https://doi.org/10.3133/sir20065259.","productDescription":"viii, 81 p.; 32 figs.; 19 tables; Excel file","numberOfPages":"89","onlineOnly":"Y","temporalStart":"2001-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":8754,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5259/","linkFileType":{"id":5,"text":"html"}},{"id":194572,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c9c6","contributors":{"editors":[{"text":"Green, Jena M.","contributorId":78033,"corporation":false,"usgs":true,"family":"Green","given":"Jena M.","affiliations":[],"preferred":false,"id":745700,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Green, Jena M.","contributorId":78033,"corporation":false,"usgs":true,"family":"Green","given":"Jena M.","affiliations":[],"preferred":false,"id":289551,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79287,"text":"sim2900 - 2006 - Geologic map of the Peach Springs 30' x 60' quadrangle, Mohave and Coconino counties, northwestern Arizona","interactions":[],"lastModifiedDate":"2017-03-29T12:27:47","indexId":"sim2900","displayToPublicDate":"2006-10-30T00:00:00","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":"2900","title":"Geologic map of the Peach Springs 30' x 60' quadrangle, Mohave and Coconino counties, northwestern Arizona","docAbstract":"This map is a product of a cooperative project of the U.S. Geological Survey, the U.S. National Park Service, and the Bureau of Land Management to provide geologic map coverage and regional geologic information for visitor services and resource management of Grand Canyon National Park, Lake Mead National Recreation Area, Grand Canyon-Parashant-National Monument, and adjacent lands in northwestern Arizona. This map is a synthesis of previous and new geologic mapping that encompasses the Peach Springs 30' x 60' quadrangle, Arizona. The geologic data will support future geologic, biologic, hydrologic, and other science resource studies of this area conducted by the National Park Service, the Hualapai Indian Tribe, the Bureau of Land Management, the State of Arizona, and private organizations. \r\n\r\nThe Colorado River and its tributaries have dissected the southwestern Colorado Plateau into what is now the southwestern part of Grand Canyon. The erosion of Grand Canyon has exposed about 426 m (1,400 ft) of Proterozoic crystalline metamorphic rocks and granite, about 1,450 m (4,760 ft) of Paleozoic strata, and about 300 m (1,000 ft) of Tertiary sedimentary rocks. Outcrops of Proterozoic crystalline rocks are exposed at the bottom of Grand Canyon at Granite Park from Colorado River Mile 207 to 209, at Mile 212, and in the Lower Granite Gorge from Colorado River Mile 216 to 262, and along the Grand Wash Cliffs in the southwest corner of the map area. \r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim2900","isbn":" 9781411310049","usgsCitation":"Billingsley, G.H., Block, D., and Dyer, H.C., 2006, Geologic map of the Peach Springs 30' x 60' quadrangle, Mohave and Coconino counties, northwestern Arizona: U.S. Geological Survey Scientific Investigations Map 2900, map, 54 inches by 33 inches; accompanying pamphlet (17 p.), https://doi.org/10.3133/sim2900.","productDescription":"map, 54 inches by 33 inches; accompanying pamphlet (17 p.)","costCenters":[{"id":647,"text":"Western Earth Surface Processes","active":false,"usgs":true}],"links":[{"id":192429,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8771,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2006/2900/","linkFileType":{"id":5,"text":"html"}},{"id":110683,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78280.htm","linkFileType":{"id":5,"text":"html"},"description":"78280"},{"id":8772,"rank":9999,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/2006/2900/version_history.txt","linkFileType":{"id":2,"text":"txt"}}],"scale":"1","country":"United States","state":"Arizona","county":"Coconino County, Mohave County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,35.5 ], [ -114,36 ], [ -113,36 ], [ -113,35.5 ], [ -114,35.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a8482","contributors":{"authors":[{"text":"Billingsley, George H.","contributorId":20711,"corporation":false,"usgs":true,"family":"Billingsley","given":"George","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":289593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Block, Debra L.","contributorId":66351,"corporation":false,"usgs":true,"family":"Block","given":"Debra L.","affiliations":[],"preferred":false,"id":289594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dyer, Helen C.","contributorId":86432,"corporation":false,"usgs":true,"family":"Dyer","given":"Helen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":289595,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79267,"text":"sir20065160 - 2006 - Simulation of Streamflow and Water Quality to Determine Fecal Coliform and Nitrate Concentrations and Loads in the Mad River Basin, Ohio","interactions":[],"lastModifiedDate":"2012-03-08T17:16:19","indexId":"sir20065160","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":"2006-5160","title":"Simulation of Streamflow and Water Quality to Determine Fecal Coliform and Nitrate Concentrations and Loads in the Mad River Basin, Ohio","docAbstract":"The Hydrological Simulation Program Fortran (HSPF) was used to simulate the concentrations and loads of fecal coliform and nitrate for streams in the Mad River Basin in west-central Ohio during the period 1999 through 2003. The Mad River Basin was divided into subbasins that were defined either by the 14-digit Hydrologic Unit (HU) boundaries or by streamflow-gaging-station locations used in the model. Model calibration and simulation processes required the formation of nine meteorologic zones to input meteorologic time-series data and water-quality data.\r\n\r\nSources of fecal coliform and nitrate from wastewater-treatment discharges and combined sewer overflow discharges (CSOs) within the City of Springfield were point sources simulated in the model. Failing septic systems and cattle with direct access to streams were nonpoint sources included in the study but treated in the model as point sources. Other nonpoint sources were addressed by adjusting interflow and ground-water concentrations in the subsurface and maximum storage capacities and accumulation rates of the simulated constituents on the land surface for each meteorologic zone. Simulation results from the calibrated model show that several HUs exceeded the water-quality standard of 1,000 colony-forming units per 100 mL for fecal coliform based on the maximum 30-day geometric mean. Most HUs with high fecal coliform counts were within or downstream from the City of Springfield. No water-quality standard has been set for instream nitrate concentrations; however, the Ohio Environmental Protection Agency (Ohio EPA) considered a concentration of 5 mg/L or greater to be of concern. Simulation results indicate that several HUs in the agricultural areas of the basin exceeded this level.\r\n\r\nThe calibrated model was modified to create scenarios that simulated loads of fecal coliform and nitrate that were either reduced or eliminated from selected sources. The revised models included the elimination of failing septic systems, elimination of direct access of cattle to streams, decrease in fecal coliform loads from the CSOs and selected wastewater-treatment facilities, and decrease in nitrate loads from land surfaces. The fecal coliform source-reduction model decreased the fecal coliform concentrations below a target concentration of 1,000 colonies per 100 milliliters for all HU outlets and decreased the load at the mouth of the Mad River by 73 percent. The nitrate source-reduction model decreased some HU mean concentrations to 5 milligrams per liter or less and decreased the load at the mouth of the Mad River by 52 percent. Other reduction scenarios may be run by Ohio EPA with the intent of identifying a management strategy that will attain a target concentration for the Mad River Basin.\r\n","language":"ENGLISH","doi":"10.3133/sir20065160","usgsCitation":"Reutter, D., Puskas, B.M., and Jagucki, M.L., 2006, Simulation of Streamflow and Water Quality to Determine Fecal Coliform and Nitrate Concentrations and Loads in the Mad River Basin, Ohio: U.S. Geological Survey Scientific Investigations Report 2006-5160, viii, 94 p., https://doi.org/10.3133/sir20065160.","productDescription":"viii, 94 p.","numberOfPages":"102","temporalStart":"1999-01-01","temporalEnd":"2003-01-01","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":191965,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8746,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5160/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db697847","contributors":{"authors":[{"text":"Reutter, David C. dreutter@usgs.gov","contributorId":5441,"corporation":false,"usgs":true,"family":"Reutter","given":"David C.","email":"dreutter@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puskas, Barry M.","contributorId":59889,"corporation":false,"usgs":true,"family":"Puskas","given":"Barry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":289534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jagucki, Martha L. 0000-0003-3798-8393 mjagucki@usgs.gov","orcid":"https://orcid.org/0000-0003-3798-8393","contributorId":1794,"corporation":false,"usgs":true,"family":"Jagucki","given":"Martha","email":"mjagucki@usgs.gov","middleInitial":"L.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289532,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79255,"text":"ofr20061160 - 2006 - Geophysical Data from the Spring and Snake Valleys Area, Nevada and Utah","interactions":[],"lastModifiedDate":"2012-02-10T00:11:39","indexId":"ofr20061160","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":"2006-1160","title":"Geophysical Data from the Spring and Snake Valleys Area, Nevada and Utah","language":"ENGLISH","doi":"10.3133/ofr20061160","usgsCitation":"Mankinen, E.A., Roberts, C.W., McKee, E.H., Chuchel, B.A., and Moring, B.C., 2006, Geophysical Data from the Spring and Snake Valleys Area, Nevada and Utah (Version 1.0): U.S. Geological Survey Open-File Report 2006-1160, 39 p.; Excel spreadsheet, https://doi.org/10.3133/ofr20061160.","productDescription":"39 p.; Excel spreadsheet","numberOfPages":"39","costCenters":[{"id":314,"text":"Geophysics Unit of Menlo Park, CA (GUMP)","active":false,"usgs":true}],"links":[{"id":192427,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8729,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1160/","linkFileType":{"id":5,"text":"html"}},{"id":8734,"rank":9999,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2006/1160/version_history.txt","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.5,38 ], [ -114.5,40 ], [ -113.25,40 ], [ -113.25,38 ], [ -114.5,38 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c46b","contributors":{"authors":[{"text":"Mankinen, Edward A. 0000-0001-7496-2681 emank@usgs.gov","orcid":"https://orcid.org/0000-0001-7496-2681","contributorId":1054,"corporation":false,"usgs":true,"family":"Mankinen","given":"Edward","email":"emank@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":289493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, Carter W.","contributorId":45282,"corporation":false,"usgs":true,"family":"Roberts","given":"Carter","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":289497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKee, Edwin H. mckee@usgs.gov","contributorId":3728,"corporation":false,"usgs":true,"family":"McKee","given":"Edwin","email":"mckee@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":289496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chuchel, Bruce A. chuchel@usgs.gov","contributorId":2415,"corporation":false,"usgs":true,"family":"Chuchel","given":"Bruce","email":"chuchel@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":289494,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moring, Barry C. 0000-0001-6797-9258 moring@usgs.gov","orcid":"https://orcid.org/0000-0001-6797-9258","contributorId":2794,"corporation":false,"usgs":true,"family":"Moring","given":"Barry","email":"moring@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":289495,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":79285,"text":"ds222 - 2006 - Database for the Geologic Map of the Skykomish River 30-Minute by 60-Minute Quadrangle, Washington (I-1963)","interactions":[],"lastModifiedDate":"2012-02-10T00:11:37","indexId":"ds222","displayToPublicDate":"2006-10-30T00:00:00","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":"222","title":"Database for the Geologic Map of the Skykomish River 30-Minute by 60-Minute Quadrangle, Washington (I-1963)","docAbstract":"This digital map database has been prepared from the published geologic map of the Skykomish River 30- by 60-minute quadrangle by the senior author. Together with the accompanying text files as PDF, it provides information on the geologic structure and stratigraphy of the area covered. The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. The authors mapped most of the bedrock geology at 1:100,000 scale, but compiled Quaternary units at 1:24,000 scale. The Quaternary contacts and structural data have been much simplified for the 1:100,000-scale map and database. The spatial resolution (scale) of the database is 1:100,000 or smaller. \r\n\r\nFrom the eastern-most edges of suburban Seattle, the Skykomish River quadrangle stretches east across the low rolling hills and broad river valleys of the Puget Lowland, across the forested foothills of the North Cascades, and across high meadowlands to the bare rock peaks of the Cascade crest. The Straight Creek Fault, a major Pacific Northwest structure which almost bisects the quadrangle, mostly separates unmetamorphosed and low-grade metamorphic Paleozoic and Mesozoic oceanic rocks on the west from medium- to high-grade metamorphic rocks on the east. Within the quadrangle the lower grade rocks are mostly Mesozoic melange units. To the east, the higher-grade terrane is mostly the Chiwaukum Schist and related gneisses of the Nason terrane and invading mid-Cretaceous stitching plutons. The Early Cretaceous Easton Metamorphic Suite crops out on both sides of the Straight Creek fault and records it's dextral displacement. On the south margin of the quadrangle, the fault separates the lower Eocene Swauk Formation on the east from the upper Eocene and Oligocene(?) Naches Formation and, farther north, its correlative Barlow Pass Volcanics the west. Stratigraphically equivalent rocks of the Puget Group crop out farther to the west. Rocks of the Cascade magmatic arc are mostly represented by Miocene and Oligocene plutons, including the Grotto, Snoqualmie, and Index batholiths. Alpine river valleys in the quadrangle record multiple advances and retreats of alpine glaciers. Multiple advances of the Cordilleran ice sheet, originating in the mountains of British Columbia, Canada, have left an even more complex sequence of outwash and till along the western mountain front, up these same alpine river valleys, and over the Puget Lowland. \r\n\r\nThis database and accompanying plot files depict the distribution of geologic materials and structures at a regional (1:100,000) scale. The report is intended to provide geologic information for the regional study of materials properties, earthquake shaking, landslide potential, mineral hazards, seismic velocity, and earthquake faults. In addition, the report contains new information and interpretations about the regional geologic history and framework. However, the regional scale of this report does not provide sufficient detail for site development purposes.\r\n","language":"ENGLISH","doi":"10.3133/ds222","usgsCitation":"Tabor, R.W., Frizzell, V.A., Booth, D.B., Waitt, R., Whetten, J.T., and Zartman, R., 2006, Database for the Geologic Map of the Skykomish River 30-Minute by 60-Minute Quadrangle, Washington (I-1963) (Version 1.0): U.S. Geological Survey Data Series 222, digital map database; readme file (4 p.), https://doi.org/10.3133/ds222.","productDescription":"digital map database; readme file (4 p.)","costCenters":[{"id":647,"text":"Western Earth Surface Processes","active":false,"usgs":true}],"links":[{"id":193311,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8767,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/222/","linkFileType":{"id":5,"text":"html"}},{"id":8768,"rank":9999,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/2006/222/skymetadata.txt","linkFileType":{"id":2,"text":"txt"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122,47.5 ], [ -122,48 ], [ -120,48 ], [ -120,47.5 ], [ -122,47.5 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db673e11","contributors":{"authors":[{"text":"Tabor, R. W.","contributorId":16002,"corporation":false,"usgs":true,"family":"Tabor","given":"R.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":289584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frizzell, V. A. Jr.","contributorId":39376,"corporation":false,"usgs":true,"family":"Frizzell","given":"V.","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":289586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Booth, D. B.","contributorId":42223,"corporation":false,"usgs":false,"family":"Booth","given":"D.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":289587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waitt, R. B.","contributorId":78766,"corporation":false,"usgs":true,"family":"Waitt","given":"R. B.","affiliations":[],"preferred":false,"id":289588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whetten, J. T.","contributorId":26015,"corporation":false,"usgs":true,"family":"Whetten","given":"J.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":289585,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zartman, R. E.","contributorId":15632,"corporation":false,"usgs":true,"family":"Zartman","given":"R. E.","affiliations":[],"preferred":false,"id":289583,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":79291,"text":"sir20065110 - 2006 - StreamVOC - A deterministic source-apportionment model to estimate volatile organic compound concentrations in rivers and streams","interactions":[],"lastModifiedDate":"2017-10-15T11:21:52","indexId":"sir20065110","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":"2006-5110","title":"StreamVOC - A deterministic source-apportionment model to estimate volatile organic compound concentrations in rivers and streams","docAbstract":"This report documents the construction and verification of the model, StreamVOC, that estimates (1) the time- and position-dependent concentrations of volatile organic compounds (VOCs) in rivers and streams as well as (2) the source apportionment (SA) of those concentrations. The model considers how different types of sources and loss processes can act together to yield a given observed VOC concentration. Reasons for interest in the relative and absolute contributions of different sources to contaminant concentrations include the need to apportion: (1) the origins for an observed contamination, and (2) the associated human and ecosystem risks. For VOCs, sources of interest include the atmosphere (by absorption), as well as point and nonpoint inflows of VOC-containing water. Loss processes of interest include volatilization to the atmosphere, degradation, and outflows of VOC-containing water from the stream to local ground water.\r\n\r\nThis report presents the details of StreamVOC and compares model output with measured concentrations for eight VOCs found in the Aberjona River at Winchester, Massachusetts. Input data for the model were obtained during a synoptic study of the stream system conducted July 11-13, 2001, as part of the National Water-Quality Assessment (NAWQA) Program of the U.S. Geological Survey. The input data included a variety of basic stream characteristics (for example, flows, temperature, and VOC concentrations). The StreamVOC concentration results agreed moderately well with the measured concentration data for several VOCs and provided compound-dependent SA estimates as a function of longitudinal distance down the river. For many VOCs, the quality of the agreement between the model-simulated and measured concentrations could be improved by simple adjustments of the model input parameters. In general, this study illustrated: (1) the considerable difficulty of quantifying correctly the locations and magnitudes of ground-water-related sources of contamination in streams; and (2) that model-based estimates of stream VOC concentrations are likely to be most accurate when the major sources are point sources or tributaries where the spatial extent and magnitude of the sources are tightly constrained and easily determined.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20065110","usgsCitation":"Asher, W., Bender, D.A., Zogorski, J.S., and Bartholomay, R.C., 2006, StreamVOC - A deterministic source-apportionment model to estimate volatile organic compound concentrations in rivers and streams (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2006-5110, xii, 167 p., https://doi.org/10.3133/sir20065110.","productDescription":"xii, 167 p.","additionalOnlineFiles":"Y","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":124954,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2006_5110.jpg"},{"id":8783,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5110/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4fd0","contributors":{"authors":[{"text":"Asher, William E.","contributorId":44986,"corporation":false,"usgs":true,"family":"Asher","given":"William E.","affiliations":[],"preferred":false,"id":289609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bender, David A. 0000-0002-1269-0948 dabender@usgs.gov","orcid":"https://orcid.org/0000-0002-1269-0948","contributorId":985,"corporation":false,"usgs":true,"family":"Bender","given":"David","email":"dabender@usgs.gov","middleInitial":"A.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zogorski, John S. jszogors@usgs.gov","contributorId":189,"corporation":false,"usgs":true,"family":"Zogorski","given":"John","email":"jszogors@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":289606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289608,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79282,"text":"ofr20061232 - 2006 - Inventory of Amphibians and Reptiles at Manzanar National Historic Site, California","interactions":[],"lastModifiedDate":"2012-02-02T00:13:56","indexId":"ofr20061232","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":"2006-1232","title":"Inventory of Amphibians and Reptiles at Manzanar National Historic Site, California","docAbstract":"We conducted a baseline inventory for amphibians and\r\nreptiles at Manzanar National Historic Site (MANZ), Inyo\r\nCounty, California, in 2002-3. Objectives for this inventory\r\nwere to: 1) inventory and document the occurrence of reptile\r\nand amphibian species at MANZ, with the goal of documenting\r\nat least 90% of the species present; 2) provide one voucher\r\nspecimen for each species identified; 3) provide a GIS-referenced\r\nlist of sensitive species that are known to be federally- or\r\nstate-listed, rare, or worthy of special consideration that occur\r\nat MANZ; 4) describe park-wide distribution of federally- or\r\nstate-listed, rare, or special concern species; 5) enter all species\r\ndata into the National Park Service NPSpecies database; and\r\n6) provide all deliverables as outlined in the Mojave Network\r\nBiological Inventory Study Plan. Survey methods included\r\ntime-area constrained searches, lizard line transects, general\r\nsurveys, nighttime road driving, and pitfall trapping. We documented\r\nthe occurrence of ten reptile species (seven lizards and\r\nthree snakes), but found no amphibians. Based on our findings,\r\nas well as literature review and searches for museum specimen\r\nrecords, we estimate inventory completeness for Manzanar to\r\nbe 50%. Although the distribution and relative abundance of\r\ncommon lizard species is now known well enough to begin\r\ndevelopment of a monitoring protocol for that group, additional\r\ninventory work is needed in order to establish a baseline of species\r\noccurrence of amphibians and snakes at Manzanar.\r\nKey Words: amphibians, reptiles, Manzanar National\r\nHistoric Site, Inyo County, California, Owens Valley, Mojave\r\nDesert, Great Basin Desert, inventory.","language":"ENGLISH","doi":"10.3133/ofr20061232","usgsCitation":"Persons, T.B., Nowak, E., and Hillard, S., 2006, Inventory of Amphibians and Reptiles at Manzanar National Historic Site, California: U.S. Geological Survey Open-File Report 2006-1232, iv, 27 p.; 4 figs.; 7 tables, https://doi.org/10.3133/ofr20061232.","productDescription":"iv, 27 p.; 4 figs.; 7 tables","numberOfPages":"31","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":191614,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8763,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://sbsc.wr.usgs.gov/files/pdfs/ofr_2006-1232.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae2e4b07f02db688c81","contributors":{"authors":[{"text":"Persons, Trevor B.","contributorId":96354,"corporation":false,"usgs":true,"family":"Persons","given":"Trevor","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":289572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nowak, Erika M.","contributorId":14062,"corporation":false,"usgs":true,"family":"Nowak","given":"Erika M.","affiliations":[],"preferred":false,"id":289570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hillard, Scott","contributorId":84017,"corporation":false,"usgs":true,"family":"Hillard","given":"Scott","email":"","affiliations":[],"preferred":false,"id":289571,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":"<p class=\"textindent\">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.</p><p class=\"textindent\">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.</p><p class=\"textindent\">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.</p><p class=\"textindent\">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.</p><p class=\"textindent\">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.</p><p class=\"textindent\">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.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20065107","usgsCitation":"Mueller, D.K., and Spahr, N.E., 2006, Nutrients in streams and rivers across the nation — 1992–2001 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2006-5107, vi, 44 p., https://doi.org/10.3133/sir20065107.","productDescription":"vi, 44 p.","numberOfPages":"50","temporalStart":"1991-10-01","temporalEnd":"2001-09-30","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":194610,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8756,"rank":100,"type":{"id":15,"text":"Index 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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":79273,"text":"ofr20061247 - 2006 - High-resolution chirp seismic reflection data acquired from the Cap de Creus shelf and canyon area, Gulf of Lions, Spain in 2004","interactions":[],"lastModifiedDate":"2012-02-10T00:11:37","indexId":"ofr20061247","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":"2006-1247","title":"High-resolution chirp seismic reflection data acquired from the Cap de Creus shelf and canyon area, Gulf of Lions, Spain in 2004","docAbstract":"Seismic reflection data were collected from the Cap de Creus shelf and canyon in the southwest portion of the Gulf of Lions in October 2004. The data were acquired using the U.S. Geological Survey`s (USGS) high-resolution Edgetech CHIRP 512i seismic reflection system aboard the R/V Oceanus. Data from the shipboard 3.5 kHz echosounder were also collected but are not presented here. The seismic reflection data were collected as part of EuroSTRATAFORM funded by the Office of Naval Research. \r\n\r\nIn October 2004, more than 200 km of high resolution seismic reflection data were collected in water depths ranging 30 m - 600 m. All data were recorded with a Delph Seismic PC-based digital recording system and processed with Delph Seismic software. Processed sections were georeferenced into tiff images for digital archive, processing and display. Penetration ranged 20-80 m. The data feature high quality vertical cross-section imagery of numerous sequences of Quaternary seismic stratigraphy. \r\n\r\nThe report includes trackline maps showing the location of the data, as well as both digital data files (SEG-Y) and images of all of the profiles. The data are of high quality and provide new information on the location and thickness of sediment deposits overlying a major erosion surface on the Cap de Creus shelf; they also provide new insight into sediment processes on the walls and in the channel of Cap de Creus Canyon. These data are under study by researchers at the US Geological Survey, the University of Barcelona, and Texas A and M University. Copies of the data are available to all researchers. \r\n","language":"ENGLISH","doi":"10.3133/ofr20061247","usgsCitation":"Grossman, E., Hart, P.E., Field, M.E., and Triezenberg, P., 2006, High-resolution chirp seismic reflection data acquired from the Cap de Creus shelf and canyon area, Gulf of Lions, Spain in 2004: U.S. Geological Survey Open-File Report 2006-1247, data and interactive map, https://doi.org/10.3133/ofr20061247.","productDescription":"data and interactive map","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":192579,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8753,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1247/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 3.1808,42.1763 ], [ 3.1808,42.4418 ], [ 3.4586,42.4418 ], [ 3.4586,42.1763 ], [ 3.1808,42.1763 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db6888d6","contributors":{"authors":[{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":2334,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric E.","email":"egrossman@usgs.gov","affiliations":[],"preferred":false,"id":289548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":289550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Field, Michael E. mfield@usgs.gov","contributorId":2101,"corporation":false,"usgs":true,"family":"Field","given":"Michael","email":"mfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":289547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Triezenberg, Peter 0000-0002-7736-9186 ptriezenberg@usgs.gov","orcid":"https://orcid.org/0000-0002-7736-9186","contributorId":2409,"corporation":false,"usgs":true,"family":"Triezenberg","given":"Peter","email":"ptriezenberg@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":289549,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79270,"text":"sir20065176 - 2006 - Characterization of near-surface geology and possible voids using resistivity and electromagnetic methods at the Gran Quivira Unit of Salinas Pueblo Missions National Monument, central New Mexico, June 2005","interactions":[],"lastModifiedDate":"2023-01-10T19:49:29.02162","indexId":"sir20065176","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":"2006-5176","title":"Characterization of near-surface geology and possible voids using resistivity and electromagnetic methods at the Gran Quivira Unit of Salinas Pueblo Missions National Monument, central New Mexico, June 2005","docAbstract":"At the Gran Quivira Unit of Salinas Pueblo Missions National Monument in central New Mexico, a partially excavated pueblo known as Mound 7 has recently become architecturally unstable. Historical National Park Service records indicate both natural caves and artificial tunnels may be present in the area. Knowledge of the local near-surface geology and possible locations of voids would aid in preservation of the ruins. Time-domain and frequency-domain electromagnetic as well as direct-current resistivity methods were used to characterize the electrical structure of the near-surface geology and to identify discrete electrical features that may be associated with voids.\r\n\r\nTime-domain electromagnetic soundings indicate three major electrical layers; however, correlation of these layers to geologic units was difficult because of the variability of lithologic data from existing test holes. Although resistivity forward modeling was unable to conclusively determine the presence or absence of voids in most cases, the high-resistivity values (greater than 5,000 ohm-meters) in the direct-current resistivity data indicate that voids may exist in the upper 50 meters. Underneath Mound 7, there is a possibility of large voids below a depth of 20 meters, but there is no indication of substantial voids in the upper 20 meters. Gridded lines and profiled inversions of frequency-domain electromagnetic data showed excellent correlation to resistivity features in the upper 5 meters of the direct-current resistivity data. This technique showed potential as a reconnaissance tool for detecting voids in the very near surface.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20065176","usgsCitation":"Ball, L.B., Lucius, J.E., Land, L.A., and Teeple, A., 2006, Characterization of near-surface geology and possible voids using resistivity and electromagnetic methods at the Gran Quivira Unit of Salinas Pueblo Missions National Monument, central New Mexico, June 2005: U.S. Geological Survey Scientific Investigations Report 2006-5176, v, 101 p., https://doi.org/10.3133/sir20065176.","productDescription":"v, 101 p.","numberOfPages":"107","temporalStart":"2005-06-01","temporalEnd":"2005-06-30","costCenters":[],"links":[{"id":192004,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":411651,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78136.htm","linkFileType":{"id":5,"text":"html"}},{"id":8750,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5176/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","otherGeospatial":"Gran Quivira Unit of Salinas Pueblos Missions National Monument","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.1133,\n              34.2639\n            ],\n            [\n              -106.0814,\n              34.2639\n            ],\n            [\n              -106.0814,\n              34.2486\n            ],\n            [\n              -106.1133,\n              34.2486\n            ],\n            [\n              -106.1133,\n              34.2639\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4e15","contributors":{"authors":[{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":289539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucius, Jeffrey E. lucius@usgs.gov","contributorId":817,"corporation":false,"usgs":true,"family":"Lucius","given":"Jeffrey","email":"lucius@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":289538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Land, Lewis A.","contributorId":18463,"corporation":false,"usgs":true,"family":"Land","given":"Lewis","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":289541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Teeple, Andrew   0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":1399,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew  ","email":"apteeple@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":289540,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79256,"text":"ofr20061299 - 2006 - Inversion of Gravity Data to Define the Pre-Cenozoic Surface and Regional Structures Possibly Influencing Groundwater Flow in the Rainier Mesa Region, Nye County, Nevada","interactions":[],"lastModifiedDate":"2012-02-10T00:11:41","indexId":"ofr20061299","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":"2006-1299","title":"Inversion of Gravity Data to Define the Pre-Cenozoic Surface and Regional Structures Possibly Influencing Groundwater Flow in the Rainier Mesa Region, Nye County, Nevada","docAbstract":"A three-dimensional inversion of gravity data from the Rainier Mesa area and surrounding regions reveals a topographically complex pre-Cenozoic basement surface. This model of the depth to pre-Cenozoic basement rocks is intended for use in a 3D hydrogeologic model being constructed for the Rainier Mesa area. Prior to this study, our knowledge of the depth to pre-Cenozoic basement rocks was based on a regional model, applicable to general studies of the greater Nevada Test Site area but inappropriate for higher resolution modeling of ground-water flow across the Rainier Mesa area. The new model incorporates several changes that lead to significant improvements over the previous regional view. First, the addition of constraining wells, encountering old volcanic rocks lying above but near pre-Cenozoic basement, prevents modeled basement from being too shallow. Second, an extensive literature and well data search has led to an increased understanding of the change of rock density with depth in the vicinity of Rainier Mesa. The third, and most important change, relates to the application of several depth-density relationships in the study area instead of a single generalized relationship, thereby improving the overall model fit. In general, the pre-Cenozoic basement surface deepens in the western part of the study area, delineating collapses within the Silent Canyon and Timber Mountain caldera complexes, and shallows in the east in the Eleana Range and Yucca Flat regions, where basement crops out. In the Rainier Mesa study area, basement is generally shallow (< 1 km). The new model identifies previously unrecognized structures within the pre-Cenozoic basement that may influence ground-water flow, such as a shallow basement ridge related to an inferred fault extending northward from Rainier Mesa into Kawich Valley. ","language":"ENGLISH","doi":"10.3133/ofr20061299","usgsCitation":"Hildenbrand, T.G., Phelps, G., and Mankinen, E.A., 2006, Inversion of Gravity Data to Define the Pre-Cenozoic Surface and Regional Structures Possibly Influencing Groundwater Flow in the Rainier Mesa Region, Nye County, Nevada (Version 1.0): U.S. Geological Survey Open-File Report 2006-1299, 28 p., https://doi.org/10.3133/ofr20061299.","productDescription":"28 p.","numberOfPages":"28","costCenters":[{"id":314,"text":"Geophysics Unit of Menlo Park, CA (GUMP)","active":false,"usgs":true}],"links":[{"id":190630,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8730,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1299/","linkFileType":{"id":5,"text":"html"}},{"id":8733,"rank":9999,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2006/1299/version_history.txt","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.5,36.5 ], [ -116.5,37.5 ], [ -116,37.5 ], [ -116,36.5 ], [ -116.5,36.5 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48eae4b07f02db55519b","contributors":{"authors":[{"text":"Hildenbrand, Thomas G.","contributorId":61787,"corporation":false,"usgs":true,"family":"Hildenbrand","given":"Thomas","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":289500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phelps, Geoffrey A.","contributorId":17262,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey A.","affiliations":[],"preferred":false,"id":289499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mankinen, Edward A. 0000-0001-7496-2681 emank@usgs.gov","orcid":"https://orcid.org/0000-0001-7496-2681","contributorId":1054,"corporation":false,"usgs":true,"family":"Mankinen","given":"Edward","email":"emank@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":289498,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":79253,"text":"sim2950 - 2006 - Aeromagnetic Map with Geology of the Los Angeles 30 x 60 Minute Quadrangle, Southern California ","interactions":[{"subject":{"id":31621,"text":"ofr97162 - 1997 - Aeromagnetic map of the Los Angeles 1:100,000-scale quadrangle, California","indexId":"ofr97162","publicationYear":"1997","noYear":false,"title":"Aeromagnetic map of the Los Angeles 1:100,000-scale quadrangle, California"},"predicate":"SUPERSEDED_BY","object":{"id":79253,"text":"sim2950 - 2006 - Aeromagnetic Map with Geology of the Los Angeles 30 x 60 Minute Quadrangle, Southern California ","indexId":"sim2950","publicationYear":"2006","noYear":false,"title":"Aeromagnetic Map with Geology of the Los Angeles 30 x 60 Minute Quadrangle, Southern California "},"id":1}],"lastModifiedDate":"2012-02-10T00:11:43","indexId":"sim2950","displayToPublicDate":"2006-10-30T00:00:00","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":"2950","title":"Aeromagnetic Map with Geology of the Los Angeles 30 x 60 Minute Quadrangle, Southern California ","docAbstract":"Introduction:  An important objective of geologic mapping is to project surficial structures and stratigraphy into the subsurface. Geophysical data and analysis are useful tools for achieving this objective. This aeromagnetic anomaly map provides a three-dimensional perspective to the geologic mapping of the Los Angeles 30 by 60 minute quadrangle. Aeromagnetic maps show the distribution of magnetic rocks, primarily those containing magnetite (Blakely, 1995). In the Los Angeles quadrangle, the magnetic sources are Tertiary and Mesozoic igneous rocks and Precambrian crystalline rocks. Aeromagnetic anomalies mark abrupt spatial contrasts in magnetization that can be attributed to lithologic boundaries, perhaps caused by faulting of these rocks or by intrusive contacts. This aeromagnetic map overlain on geology, with information from wells and other geophysical data, provides constraints on the subsurface geology by allowing us to trace faults beneath surficial cover and estimate fault dip and offset. This map supersedes Langenheim and Jachens (1997) because of its digital form and the added value of overlaying the magnetic data on a geologic base. The geologic base for this map is from Yerkes and Campbell (2005); some of their subunits have been merged into one on this map. ","language":"ENGLISH","doi":"10.3133/sim2950","usgsCitation":"Langenheim, V., Hildenbrand, T., Jachens, R., Campbell, R.H., and Yerkes, R.F., 2006, Aeromagnetic Map with Geology of the Los Angeles 30 x 60 Minute Quadrangle, Southern California : U.S. Geological Survey Scientific Investigations Map 2950, oversized sheet, 61 inches by 33 inches, https://doi.org/10.3133/sim2950.","productDescription":"oversized sheet, 61 inches by 33 inches","costCenters":[{"id":314,"text":"Geophysics Unit of Menlo Park, CA (GUMP)","active":false,"usgs":true}],"links":[{"id":110685,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78295.htm","linkFileType":{"id":5,"text":"html"},"description":"78295"},{"id":194422,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8725,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2006/2950/ ","linkFileType":{"id":5,"text":"html"}},{"id":8735,"rank":9999,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/2006/2950/version_history.txt","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119,34 ], [ -119,34.5 ], [ -118,34.5 ], [ -118,34 ], [ -119,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db6972bd","contributors":{"authors":[{"text":"Langenheim, V.E. 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":54956,"corporation":false,"usgs":true,"family":"Langenheim","given":"V.E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":289488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hildenbrand, T.G.","contributorId":83892,"corporation":false,"usgs":true,"family":"Hildenbrand","given":"T.G.","email":"","affiliations":[],"preferred":false,"id":289490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jachens, R.C.","contributorId":55433,"corporation":false,"usgs":true,"family":"Jachens","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":289489,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, R. H.","contributorId":52160,"corporation":false,"usgs":true,"family":"Campbell","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":289487,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yerkes, R. F.","contributorId":24754,"corporation":false,"usgs":true,"family":"Yerkes","given":"R.","middleInitial":"F.","affiliations":[],"preferred":false,"id":289486,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":79283,"text":"ofr20061204 - 2006 - Aeromagnetic and Gravity Surveys in Afghanistan: A Web Site for Distribution of Data","interactions":[],"lastModifiedDate":"2023-07-13T11:02:12.648809","indexId":"ofr20061204","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":"2006-1204","title":"Aeromagnetic and Gravity Surveys in Afghanistan: A Web Site for Distribution of Data","docAbstract":"Aeromagnetic data were digitized from aeromagnetic maps created from\r\n      aeromagnetic surveys flown in southeastern and southern Afghanistan\r\n      in 1966 by PRAKLA, Gesellschaft fur praktische Lagerstattenforschung\r\n      GmbH, Hannover, Germany, on behalf of the 'Bundesanstalt fur\r\n      Bodenforschung', Hannover, Germany.  The digitization was done along\r\n      contour lines, followed by interpolation of the data along the original\r\n      survey flight-lines.  Survey and map specifications can be found in two\r\n      project reports, 'prakla_report_1967.pdf' and 'bgr_report_1968.pdf',\r\n      made available in this open-file report.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061204","usgsCitation":"Sweeney, R.E., Kucks, R.P., Hill, P.L., and Finn, C.A., 2006, Aeromagnetic and Gravity Surveys in Afghanistan: A Web Site for Distribution of Data: U.S. Geological Survey Open-File Report 2006-1204, HTML Document; Metadata, https://doi.org/10.3133/ofr20061204.","productDescription":"HTML Document; Metadata","additionalOnlineFiles":"Y","temporalStart":"1911-01-01","temporalEnd":"1967-12-31","costCenters":[],"links":[{"id":192306,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8764,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1204/","linkFileType":{"id":5,"text":"html"}},{"id":8765,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2006/1204/Gravity/afghan_metadata.txt","linkFileType":{"id":2,"text":"txt"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60.8,29.4 ], [ 60.8,38.1 ], [ 71.6,38.1 ], [ 71.6,29.4 ], [ 60.8,29.4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b02e4b07f02db698a22","contributors":{"authors":[{"text":"Sweeney, Ronald E.","contributorId":89564,"corporation":false,"usgs":true,"family":"Sweeney","given":"Ronald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":289576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kucks, Robert P.","contributorId":11648,"corporation":false,"usgs":true,"family":"Kucks","given":"Robert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":289575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, Patricia L. pathill@usgs.gov","contributorId":1327,"corporation":false,"usgs":true,"family":"Hill","given":"Patricia","email":"pathill@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":289574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, Carol A. 0000-0002-6178-0405 cfinn@usgs.gov","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":1326,"corporation":false,"usgs":true,"family":"Finn","given":"Carol","email":"cfinn@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":289573,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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