Groundwater quality in the approximately 963-square-mile Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study unit was investigated as part of the Priority Basin Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The study unit is located in southern California in San Bernardino, Riverside, San Diego, and Imperial Counties. The GAMA Priority Basin Project is being conducted by the California State Water Resources Control Board in collaboration with the U.S. Geological Survey and the Lawrence Livermore National Laboratory.
\nThe GAMA Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study was designed to provide a spatially unbiased assessment of the quality of untreated (raw) groundwater in the primary aquifer system. The assessment is based on water-quality and ancillary data collected by the U.S. Geological Survey from 52 wells (49 grid wells and 3 understanding wells) and on water-quality data from the California Department of Public Health database. The primary aquifer system was defined by the depth intervals of the wells listed in the California Department of Public Health database for the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study unit. The quality of groundwater in the primary aquifer system may be different from that in the shallower or deeper water-bearing zones; shallow groundwater may be more vulnerable to surficial contamination.
\nThis study assesses the status of the current quality of the groundwater resource by using data from samples analyzed for volatile organic compounds (VOCs), pesticides, and naturally occurring inorganic constituents, such as major ions and trace elements. This status assessment is intended to characterize the quality of groundwater resources in the primary aquifer system of the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study unit, not the treated drinking water delivered to consumers by water purveyors.
\nRelative-concentrations (sample concentration divided by the health- or aesthetic-based benchmark concentration) were used for evaluating groundwater quality for those constituents that have Federal or California regulatory or non-regulatory benchmarks for drinking-water quality. A relative-concentration greater than 1.0 indicates a concentration greater than a benchmark, and a relative-concentration less than or equal to 1.0 indicates a concentration equal to or less than a benchmark. Relative-concentrations of organic constituents and special-interest constituents [perchlorate and N-nitrosodimethylamine (NDMA)] were classified as high (relative-concentration greater than 1.0), moderate (relative-concentration greater than 0.1 and less than or equal to 1.0), or low (relative-concentration less than or equal to 0.1). Relative-concentrations of inorganic constituents were classified as high (relative-concentration greater than 1.0), moderate (relative-concentration greater than 0.5 and less than or equal to 1.0), or low (relative-concentration less than or equal to 0.5).
\nAquifer-scale proportion was used as the primary metric in the status assessment for evaluating regional-scale groundwater quality. High aquifer-scale proportion is defined as the percentage of the area of the primary aquifer system with a high relative-concentration for a particular constituent or class of constituents; this percentage is based on an areal rather than a volumetric basis. Moderate and low aquifer-scale proportions were defined as the percentages of the primary aquifer system with moderate and low relative-concentrations, respectively, of a constituent or class of constituents. Two statistical approaches—grid-based and spatially weighted—were used to evaluate aquifer-scale proportions for individual constituents and classes of constituents. Grid-based and spatially weighted estimates were comparable to each other (within 90-percent confidence intervals) in the study unit.
\nInorganic constituents (one or more) with health-based benchmarks were detected at high relative-concentrations in 48 percent of the primary aquifer system and at moderate relative-concentrations in 26 percent of the primary aquifer system. The high aquifer-scale proportion of inorganic constituents primarily reflected high aquifer-scale proportions of fluoride (27 percent), arsenic (18 percent), molybdenum (16 percent), boron (10 percent), uranium (5.6 percent), gross alpha radioactivity (9.7 percent), and nitrate (2.7 percent). The inorganic constituents with secondary maximum contaminant levels (SMCLs) were detected at high relative-concentrations in 13 percent of the primary aquifer system and at moderate relative-concentrations in 39 percent. The high aquifer-scale proportion for SMCL constituents reflected high aquifer-scale proportions of total dissolved solids (TDS, 11 percent), manganese (2.8 percent), and chloride (2.8 percent).
\nOrganic constituents were not detected at high relative-concentrations in the primary aquifer system, and were present at moderate relative-concentrations in 5.0 percent, and at low relative-concentrations or were not detected in 95 percent of the primary aquifer system. Of the 148 organic constituents analyzed, 12 constituents were detected. Two organic constituents, chloroform and tetrachloroethene (PCE), were detected in more than 10 percent of samples, but were detected mostly at low relative-concentrations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145001","collaboration":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program. Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Parsons, M.C., Hancock, T.C., Kulongoski, J., and Belitz, K., 2014, Status of groundwater quality in the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study unit, 2008-2010: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2014-5001, viii, 88 p., https://doi.org/10.3133/sir20145001.","productDescription":"viii, 88 p.","numberOfPages":"100","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027935","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":286497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145001.jpg"},{"id":286487,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5001/"},{"id":286495,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5001/pdf/sir2014-5001.pdf"},{"id":286496,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2014/3001/"}],"projection":"Albers Equal Area Conic Projection","country":"United States","state":"California","county":"Imperial County;Riverside County;San Bernardino County;San Diego County","otherGeospatial":"Borrego Valley;Mojave Desert;Sonoran Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.82,32.24 ], [ -124.82,42.12 ], [ -113.99,42.12 ], [ -113.99,32.24 ], [ -124.82,32.24 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578159e4b0938066bc819f","contributors":{"authors":[{"text":"Parsons, Mary C. mparsons@usgs.gov","contributorId":1571,"corporation":false,"usgs":true,"family":"Parsons","given":"Mary","email":"mparsons@usgs.gov","middleInitial":"C.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hancock, Tracy Connell","contributorId":62295,"corporation":false,"usgs":true,"family":"Hancock","given":"Tracy","email":"","middleInitial":"Connell","affiliations":[],"preferred":false,"id":487867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":94750,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","affiliations":[],"preferred":false,"id":487868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487865,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70102311,"text":"70102311 - 2014 - Network analysis reveals multiscale controls on streamwater chemistry","interactions":[],"lastModifiedDate":"2014-05-16T16:24:02","indexId":"70102311","displayToPublicDate":"2014-04-22T10:19:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Network analysis reveals multiscale controls on streamwater chemistry","docAbstract":"By coupling synoptic data from a basin-wide assessment of streamwater chemistry with network-based geostatistical analysis, we show that spatial processes differentially affect biogeochemical condition and pattern across a headwater stream network. We analyzed a high-resolution dataset consisting of 664 water samples collected every 100 m throughout 32 tributaries in an entire fifth-order stream network. These samples were analyzed for an exhaustive suite of chemical constituents. The fine grain and broad extent of this study design allowed us to quantify spatial patterns over a range of scales by using empirical semivariograms that explicitly incorporated network topology. Here, we show that spatial structure, as determined by the characteristic shape of the semivariograms, differed both among chemical constituents and by spatial relationship (flow-connected, flow-unconnected, or Euclidean). Spatial structure was apparent at either a single scale or at multiple nested scales, suggesting separate processes operating simultaneously within the stream network and surrounding terrestrial landscape. Expected patterns of spatial dependence for flow-connected relationships (e.g., increasing homogeneity with downstream distance) occurred for some chemical constituents (e.g., dissolved organic carbon, sulfate, and aluminum) but not for others (e.g., nitrate, sodium). By comparing semivariograms for the different chemical constituents and spatial relationships, we were able to separate effects on streamwater chemistry of (i) fine-scale versus broad-scale processes and (ii) in-stream processes versus landscape controls. These findings provide insight on the hierarchical scaling of local, longitudinal, and landscape processes that drive biogeochemical patterns in stream networks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the National Academy of Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"United States National Academy of Sciences","doi":"10.1073/pnas.1404820111","usgsCitation":"McGuire, K.J., Torgersen, C., Likens, G.E., Buso, D.C., Lowe, W., and Bailey, S.W., 2014, Network analysis reveals multiscale controls on streamwater chemistry: Proceedings of the National Academy of Sciences, v. 111, no. 19, p. 7030-7035, https://doi.org/10.1073/pnas.1404820111.","productDescription":"6 p.","startPage":"7030","endPage":"7035","numberOfPages":"6","ipdsId":"IP-052532","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473043,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1404820111","text":"External Repository"},{"id":286498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286473,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1404820111"}],"volume":"111","issue":"19","noUsgsAuthors":false,"publicationDate":"2014-04-21","publicationStatus":"PW","scienceBaseUri":"53578156e4b0938066bc8197","contributors":{"authors":[{"text":"McGuire, Kevin J.","contributorId":69870,"corporation":false,"usgs":true,"family":"McGuire","given":"Kevin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":492944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":48143,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian E.","affiliations":[],"preferred":false,"id":492941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Likens, Gene E.","contributorId":56363,"corporation":false,"usgs":true,"family":"Likens","given":"Gene","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":492942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buso, Donald C.","contributorId":33212,"corporation":false,"usgs":true,"family":"Buso","given":"Donald","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":492939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowe, Winsor H.","contributorId":64532,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor H.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":492943,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bailey, Scott W. 0000-0002-9160-156X","orcid":"https://orcid.org/0000-0002-9160-156X","contributorId":36840,"corporation":false,"usgs":true,"family":"Bailey","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":492940,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70098181,"text":"sir20145043 - 2014 - Integrated synoptic surveys of the hydrodynamics and water-quality distributions in two Lake Michigan rivermouth mixing zones using an autonomous underwater vehicle and a manned boat","interactions":[],"lastModifiedDate":"2014-04-22T09:03:20","indexId":"sir20145043","displayToPublicDate":"2014-04-21T16:22:00","publicationYear":"2014","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":"2014-5043","title":"Integrated synoptic surveys of the hydrodynamics and water-quality distributions in two Lake Michigan rivermouth mixing zones using an autonomous underwater vehicle and a manned boat","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the National Monitoring Network for U.S. Coastal Waters and Tributaries, launched a pilot project in 2010 to determine the value of integrated synoptic surveys of rivermouths using autonomous underwater vehicle technology in response to a call for rivermouth research, which includes study domains that envelop both the fluvial and lacustrine boundaries of the rivermouth mixing zone. The pilot project was implemented at two Lake Michigan rivermouths with largely different scales, hydrodynamics, and settings, but employing primarily the same survey techniques and methods. The Milwaukee River Estuary Area of Concern (AOC) survey included measurements in the lower 2 to 3 miles of the Milwaukee, Menomonee, and Kinnickinnic Rivers and inner and outer Milwaukee Harbor. This estuary is situated in downtown Milwaukee, Wisconsin, and is the most populated basin that flows directly into Lake Michigan. In contrast, the Manitowoc rivermouth has a relatively small harbor separating the rivermouth from Lake Michigan, and the Manitowoc River Watershed is primarily agricultural. Both the Milwaukee and Manitowoc rivermouths are unregulated and allow free exchange of water with Lake Michigan.
\nThis pilot study of the Milwaukee River Estuary and Manitowoc rivermouth using an autonomous underwater vehicle (AUV) paired with a manned survey boat resulted in high spatial and temporal resolution datasets of basic water-quality parameter distributions and hydrodynamics. The AUV performed well in these environments and was found primarily well-suited for harbor and nearshore surveys of three-dimensional water-quality distributions. Both case studies revealed that the use of a manned boat equipped with an acoustic Doppler current profiler (ADCP) and multiparameter sonde (and an optional flow-through water-quality sampling system) was the best option for riverine surveys. To ensure that the most accurate and highest resolution velocity data were collected concurrently with the AUV surveys, the pilot study used a manned boat equipped with an ADCP. Combining the AUV and manned boat datasets resulted in datasets that are essentially continuous from the fluvial through the lacustrine zones of a rivermouth. Whereas the pilot studies were completed during low flows on the tributaries, completion of surveys at higher flows using the same techniques is possible, but the use of the AUV would be limited to areas with relatively low velocities (less than 2 feet per second) such as the harbors and nearshore zones of Lake Michigan.
\nOverall, this pilot study aimed at evaluation of AUV technology for integrated synoptic surveys of rivermouth mixing zones was successful, and the techniques and methods employed in this pilot study should be transferrable to other sites with similar success. The use of the AUV provided significant time savings compared to traditional sampling techniques. For example, the survey of outer Milwaukee Harbor using the AUV required less than 7 hours for approximately 600 profiles compared to the 150 hours it would have taken using traditional methods in a manned boat (a 95 percent reduction in man-hours). The integrated datasets resulting from the AUV and manned survey boat are of high value and present a picture of the mixing and hydrodynamics of these highly dynamic, highly variable rivermouth mixing zones from the relatively well-mixed fluvial environment through the rivermouth to the stratified lacustrine receiving body of Lake Michigan. Such datasets not only allow researchers to understand more about the physical processes occurring in these rivermouths, but they provide high spatial resolution data required for interpretation of relations between disparate point samples and calibration and validation of numerical models.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145043","collaboration":"Prepared in cooperation with the National Monitoring Network for U.S. Coastal Waters and Tributaries","usgsCitation":"Jackson, P., and Reneau, P.C., 2014, Integrated synoptic surveys of the hydrodynamics and water-quality distributions in two Lake Michigan rivermouth mixing zones using an autonomous underwater vehicle and a manned boat: U.S. Geological Survey Scientific Investigations Report 2014-5043, vi, 33 p., https://doi.org/10.3133/sir20145043.","productDescription":"vi, 33 p.","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-050916","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":286476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145043.jpg"},{"id":286474,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5043/"},{"id":286475,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5043/pdf/sir2014-5043.pdf"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","otherGeospatial":"Kinnickinnic River;Lake Michigan;Manitowoc River;Menomonee River;Milwaukee Harbor;Milwaukee River Estuary","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.000152,42.948968 ], [ -88.000152,43.127852 ], [ -87.840638,43.127852 ], [ -87.840638,42.948968 ], [ -88.000152,42.948968 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5356c592e4b03a277fd6afbb","contributors":{"authors":[{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","affiliations":[],"preferred":false,"id":491677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reneau, Paul C. 0000-0002-1335-7573 pcreneau@usgs.gov","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":4385,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","email":"pcreneau@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491676,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70095579,"text":"sir20145011 - 2014 - Subsidence (2004-2009) in and near lakebeds of the Mojave River and Morongo groundwater basins, southwest Mojave Desert, California","interactions":[],"lastModifiedDate":"2017-06-23T09:38:10","indexId":"sir20145011","displayToPublicDate":"2014-04-21T16:02:00","publicationYear":"2014","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":"2014-5011","title":"Subsidence (2004-2009) in and near lakebeds of the Mojave River and Morongo groundwater basins, southwest Mojave Desert, California","docAbstract":"Subsidence, in the vicinity of dry lakebeds, within the Mojave River and Morongo groundwater basins of the southwest Mojave Desert has been measured by Interferometric Synthetic Aperture Radar (InSAR). The investigation has focused on determining the location, extent, and magnitude of changes in land-surface elevation. In addition, the relation of changes in land-surface elevation to changes in groundwater levels and lithology was explored. This report is the third in a series of reports investigating land-surface elevation changes in the Mojave and Morongo Groundwater Basins, California. The first report, U.S. Geological Survey (USGS) Water-Resources Investigations Report 03-4015 by Sneed and others (2003), describes historical subsidence and groundwater-level changes in the southwest Mojave Desert from 1969 to 1999. The second report, U.S. Geological Survey Water-Resources Investigations Report 07-5097, an online interactive report and map, by Sneed and Brandt (2007), describes subsidence and groundwater-level changes in the southwest Mojave Desert from 1999 to 2004. The purpose of this report is to document an updated assessment of subsidence in these lakebeds and selected neighboring areas from 2004 to 2009 as measured by InSAR methods. In addition, continuous Global Positioning System (GPS)(2005-10), groundwater level (1951-2010), and lithologic data, if available, were used to characterize compaction mechanisms in these areas. The USGS California Water Science Center’s interactive website for the Mojave River and Morongo groundwater basins was created to centralize information pertaining to land subsidence and water levels and to allow readers to access available data and related reports online. An interactive map of land subsidence and water levels in the Mojave River and Morongo groundwater basins displays InSAR interferograms, subsidence areas, subsidence contours, hydrographs, well information, and water-level contours. Background information, including a basic description of the mechanics of land subsidence and InSAR, as well as a description of the study area, is presented within the Mojave Water Resources Interactive Map and report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145011","issn":"2328-0328","usgsCitation":"Solt, M., and Sneed, M., 2014, Subsidence (2004-2009) in and near lakebeds of the Mojave River and Morongo groundwater basins, southwest Mojave Desert, California: U.S. Geological Survey Scientific Investigations Report 2014-5011, HTML document, https://doi.org/10.3133/sir20145011.","productDescription":"HTML document","onlineOnly":"Y","temporalStart":"2004-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-038374","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":286472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145011.PNG"},{"id":286470,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5011/"},{"id":286471,"type":{"id":11,"text":"Document"},"url":"https://ca.water.usgs.gov/mojave/mojave-subsidence-2004-2009.html"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert;Mojave River;Morongo Groundwater Basins","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.5,34.0 ], [ -117.5,35.0 ], [ -116.0,35.0 ], [ -116.0,34.0 ], [ -117.5,34.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563df2e4b03a277fd6adb9","contributors":{"authors":[{"text":"Solt, Mike","contributorId":88258,"corporation":false,"usgs":true,"family":"Solt","given":"Mike","email":"","affiliations":[],"preferred":false,"id":491307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":155,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491306,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70100556,"text":"ds837 - 2014 - Visualization of soil-moisture change in response to precipitation within two rain gardens in Ohio","interactions":[],"lastModifiedDate":"2014-04-21T15:39:11","indexId":"ds837","displayToPublicDate":"2014-04-21T15:30:00","publicationYear":"2014","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":"837","title":"Visualization of soil-moisture change in response to precipitation within two rain gardens in Ohio","docAbstract":"Stormwater runoff in urban areas is increasingly being managed by means of a variety of treaments that reduce or delay runoff and promote more natural infiltration. One such treatment is a rain garden, which is built to detain runoff and allow for water infiltration and uptake by plants.Water flow into or out of a rain garden can be readily monitored with a variety of tools; however, observing the movement of water within the rain garden is less straightforward. Soil-moisture probes in combination with an automated interpolation procedure were used to document the infiltration of water into two rain gardens in Ohio. Animations show changes in soil moisture in the rain gardens during two precipitation events. At both sites, the animations demonstrate underutilization of the rain gardens.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds837","issn":"2327-638X","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency and the Franklin County Soil and Water Conservation District Data","usgsCitation":"Dumouchelle, D.H., and Darner, R.A., 2014, Visualization of soil-moisture change in response to precipitation within two rain gardens in Ohio: U.S. Geological Survey Data Series 837, Report: iv, 9 p.; Animations, https://doi.org/10.3133/ds837.","productDescription":"Report: iv, 9 p.; Animations","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-053573","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":286461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds837.jpg"},{"id":286460,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0837/animation"},{"id":286458,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0837/"},{"id":286459,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0837/pdf/ds837.pdf"}],"country":"United States","state":"Ohio","city":"Cincinnati;Columbus","otherGeospatial":"Griggs Reservoir;St. Francis","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.6844,39.0715 ], [ -84.6844,40.0685 ], [ -83.0936,40.0685 ], [ -83.0936,39.0715 ], [ -84.6844,39.0715 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563df3e4b03a277fd6adc2","contributors":{"authors":[{"text":"Dumouchelle, Denise H. ddumouch@usgs.gov","contributorId":1847,"corporation":false,"usgs":true,"family":"Dumouchelle","given":"Denise","email":"ddumouch@usgs.gov","middleInitial":"H.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Darner, Robert A. 0000-0003-1333-8265 radarner@usgs.gov","orcid":"https://orcid.org/0000-0003-1333-8265","contributorId":1972,"corporation":false,"usgs":true,"family":"Darner","given":"Robert","email":"radarner@usgs.gov","middleInitial":"A.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492263,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70101781,"text":"fs20143037 - 2014 - The 3D Elevation Program: summary for Louisiana","interactions":[],"lastModifiedDate":"2016-08-17T15:42:16","indexId":"fs20143037","displayToPublicDate":"2014-04-21T15:25:00","publicationYear":"2014","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":"2014-3037","title":"The 3D Elevation Program: summary for Louisiana","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Louisiana, elevation data are critical for flood risk management, natural resources conservation, agriculture and precision farming, infrastructure and construction management, water supply and quality, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.
\nThe National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 ifsar data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey (USGS), the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation’s natural and constructed features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143037","issn":"2327-6932","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Louisiana: U.S. Geological Survey Fact Sheet 2014-3037, 2 p., https://doi.org/10.3133/fs20143037.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052809","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":286457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143037.jpg"},{"id":286455,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3037/"},{"id":286456,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3037/pdf/fs2014-3037.pdf","text":"Report","size":"642 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563df2e4b03a277fd6adbc","contributors":{"authors":[{"text":"Carswell, William J. Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":492758,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70099209,"text":"ofr20141055 - 2014 - Groundwater-surface water relations in the Fox River watershed: insights from exploratory studies in Illinois and Wisconsin","interactions":[],"lastModifiedDate":"2014-04-21T15:22:13","indexId":"ofr20141055","displayToPublicDate":"2014-04-21T15:17:00","publicationYear":"2014","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":"2014-1055","title":"Groundwater-surface water relations in the Fox River watershed: insights from exploratory studies in Illinois and Wisconsin","docAbstract":"Exploratory studies were conducted at sites bordering the Fox River in Waukesha, Wisconsin, during 2010 and McHenry, Illinois, during 2011–13. The objectives of the studies were to assess strategies for the study of and insights into the potential for directly connected groundwater and surface-water systems with natural groundwater discharge to streams diverted and (or) streamflow induced (captured) by nearby production-well withdrawals. Several collection efforts of about 2 weeks or less provided information and data on site geology, groundwater and surface-water levels, hydraulic gradients, water-temperature and stream-seepage patterns, and water chemistry including stables isotopes. Overview information is presented for the Waukesha study, and selected data and preliminary findings are presented for the McHenry study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141055","issn":"2331-1258","usgsCitation":"Mills, P., 2014, Groundwater-surface water relations in the Fox River watershed: insights from exploratory studies in Illinois and Wisconsin: U.S. Geological Survey Open-File Report 2014-1055, 20 p., https://doi.org/10.3133/ofr20141055.","productDescription":"20 p.","numberOfPages":"20","onlineOnly":"Y","temporalStart":"2010-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-044038","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":286454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141055.jpg"},{"id":286453,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1055/pdf/ofr2014-1055.pdf"},{"id":286452,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1055/"}],"scale":"2000000","projection":"Albers Equal-Are Conic projection","country":"United States","state":"Illinois;Wisconsin","otherGeospatial":"Fox River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.0,41.5 ], [ -89.0,43.0 ], [ -86.0,43.0 ], [ -86.0,41.5 ], [ -89.0,41.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563df0e4b03a277fd6adaf","contributors":{"authors":[{"text":"Mills, P.C. pcmills@usgs.gov","contributorId":3810,"corporation":false,"usgs":true,"family":"Mills","given":"P.C.","email":"pcmills@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491864,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70100406,"text":"sir20145060 - 2014 - Flood-inundation maps for the Mississinewa River at Marion, Indiana, 2013","interactions":[],"lastModifiedDate":"2014-06-16T10:29:28","indexId":"sir20145060","displayToPublicDate":"2014-04-21T15:03:00","publicationYear":"2014","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":"2014-5060","title":"Flood-inundation maps for the Mississinewa River at Marion, Indiana, 2013","docAbstract":"Digital flood-inundation maps for a 9-mile (mi) reach of the Mississinewa River from 0.75 mi upstream from the Pennsylvania Street bridge in Marion, Indiana, to 0.2 mi downstream from State Route 15 were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Office of Community and Rural Affairs. The flood inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Mississinewa River at Marion (station number 03326500). Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site.\n\nFlood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the current stage-discharge relation at the Mississinewa River streamgage, in combination with water-surface profiles from historic floods and from the current (2002) flood-insurance study for Grant County, Indiana. The hydraulic model was then used to compute seven water-surface profiles for flood stages at 1-fo (ft) intervals referenced to the streamgage datum and ranging from 10 ft, which is near bankfull, to 16 ft, which is between the water levels associated with the estimated 10- and 2-percent annual exceedance probability floods (floods with recurrence interval between 10 and 50 years) and equals the “major flood stage” as defined by the NWS. The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from light detection and ranging (lidar) data having a 0.98 ft vertical accuracy and 4.9 ft horizontal resolution) to delineate the area flooded at each water level.\n\nThe availability of these maps, along with Internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145060","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Coon, W.F., 2014, Flood-inundation maps for the Mississinewa River at Marion, Indiana, 2013: U.S. Geological Survey Scientific Investigations Report 2014-5060, Report: iv, 13 p.; Downloads Directory, https://doi.org/10.3133/sir20145060.","productDescription":"Report: iv, 13 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050572","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":286466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145060.jpg"},{"id":286464,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5060/pdf/sir2014-5060.pdf"},{"id":286465,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5060/downloads"},{"id":286463,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5060/"}],"projection":"Indiana State Plane Eastern Zone","datum":"North American Datum of 1983","country":"United States","state":"Indiana","city":"Marion","otherGeospatial":"Mississinewa River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.709947,40.513774 ], [ -85.709947,40.621978 ], [ -85.599546,40.621978 ], [ -85.599546,40.513774 ], [ -85.709947,40.513774 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563defe4b03a277fd6adaa","contributors":{"authors":[{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492187,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70093641,"text":"70093641 - 2014 - ChemCam results from the Shaler Outcrop in Gale Crater, Mars","interactions":[],"lastModifiedDate":"2016-11-16T15:16:08","indexId":"70093641","displayToPublicDate":"2014-04-21T14:32:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"ChemCam results from the Shaler Outcrop in Gale Crater, Mars","docAbstract":"John Wesley Powell, second Director of the U.S. Geological Survey, had a vision for the Western United States. In the late 1800s, Powell explored the West as head of the Geographical and Geological Survey of the Rocky Mountain Region. He devoted a large part of “Report on the Lands of the Arid Region of the United States with a more detailed account of the land of Utah with maps,” his 1878 report to the General Land Office on the lands west of the 100th meridian, to the feasibility of “reclaiming” large portions of this arid land.
\nPowell recognized that the availability of water was key to the wise settlement of the region. He proposed to inventory all streams in the West to evaluate the potential for irrigation. The essential first step was to gage the flows of the rivers and streams.
\nA few cities in the Eastern United States had established primitive streamgages as early as the 1870s to acquire data needed for the design of their water supply systems. Their methods generally used constructed channels and dams to enable accurate gaging. These methods were not feasible in the West, and certainly not on the vast scale and extreme range of flows common to western streams. New, more flexible techniques were needed. A site was chosen where these methods could be worked out and developed in a practical setting.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143034","issn":"2327-6932","usgsCitation":"Gunn, M.A., Matherne, A.M., and Mason, 2014, The USGS at Embudo, New Mexico: 125 years of systematic streamgaging in the United States: U.S. Geological Survey Fact Sheet 2014-3034, Report: 4 p.; Poster: 17.00 x 11.00 inches, https://doi.org/10.3133/fs20143034.","productDescription":"Report: 4 p.; Poster: 17.00 x 11.00 inches","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-055268","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":286438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143034.jpg"},{"id":286436,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3034/pdf/fs2014-3034.pdf"},{"id":286437,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/fs/2014/3034/pdf/fs2014-3034_poster.pdf"},{"id":285910,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3034/"}],"country":"United States","state":"New Mexico","city":"Embudo","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.977139,36.198519 ], [ -105.977139,36.216526 ], [ -105.945124,36.216526 ], [ -105.945124,36.198519 ], [ -105.977139,36.198519 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563df2e4b03a277fd6adbe","contributors":{"authors":[{"text":"Gunn, Mark A. mgunn@usgs.gov","contributorId":4405,"corporation":false,"usgs":true,"family":"Gunn","given":"Mark","email":"mgunn@usgs.gov","middleInitial":"A.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mason, Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":2090,"corporation":false,"usgs":true,"family":"Mason","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":492539,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70073971,"text":"sir20145003 - 2014 - Three-dimensional geologic mapping of the Cenozoic basin fill, Amargosa Desert basin, Nevada and California","interactions":[],"lastModifiedDate":"2014-04-22T08:20:08","indexId":"sir20145003","displayToPublicDate":"2014-04-21T08:43:00","publicationYear":"2014","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":"2014-5003","title":"Three-dimensional geologic mapping of the Cenozoic basin fill, Amargosa Desert basin, Nevada and California","docAbstract":"Understanding the subsurface geologic framework of the Cenozoic basin fill that underlies the Amargosa Desert in southern Nevada and southeastern California has been improved by using borehole data to construct three-dimensional lithologic and interpreted facies models. Lithologic data from 210 boreholes from a 20-kilometer (km) by 90-km area were reduced to a limited suite of descriptors based on geologic knowledge of the basin and distributed in three-dimensional space using interpolation methods. The resulting lithologic model of the Amargosa Desert basin portrays a complex system of interfingered coarse- to fine-grained alluvium, playa and palustrine deposits, eolian sands, and interbedded volcanic units. Lithologic units could not be represented in the model as a stacked stratigraphic sequence due to the complex interfingering of lithologic units and the absence of available time-stratigraphic markers. Instead, lithologic units were grouped into interpreted genetic classes, such as playa or alluvial fan, to create a three-dimensional model of the interpreted facies data. Three-dimensional facies models computed from these data portray the alluvial infilling of a tectonically formed basin with intermittent internal drainage and localized regional groundwater discharge. The lithologic and interpreted facies models compare favorably to resistivity, aeromagnetic, and geologic map data, lending confidence to the interpretation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145003","usgsCitation":"Taylor, E.M., and Sweetkind, D., 2014, Three-dimensional geologic mapping of the Cenozoic basin fill, Amargosa Desert basin, Nevada and California: U.S. Geological Survey Scientific Investigations Report 2014-5003, Report: v, 40 p.; Appendix 1: 1 XLS file; Appendix 2: XLS file, https://doi.org/10.3133/sir20145003.","productDescription":"Report: v, 40 p.; Appendix 1: 1 XLS file; Appendix 2: XLS file","additionalOnlineFiles":"Y","ipdsId":"IP-049168","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":286442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145003.jpg"},{"id":286432,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5003/"},{"id":286433,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5003/pdf/sir2014-5003.pdf"},{"id":286434,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5003/downloads/Appendix1.xlsx"},{"id":286435,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5003/downloads/Appendix2.xlsx"}],"scale":"100000","projection":"Universal Transverse Mercator, Zone 11","datum":"North American Datum of 1927","country":"United States","state":"California;Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.904187,36.223539 ], [ -116.904187,36.793477 ], [ -116.067209,36.793477 ], [ -116.067209,36.223539 ], [ -116.904187,36.223539 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563df2e4b03a277fd6adc0","contributors":{"authors":[{"text":"Taylor, Emily M. 0000-0003-1152-5761 emtaylor@usgs.gov","orcid":"https://orcid.org/0000-0003-1152-5761","contributorId":1240,"corporation":false,"usgs":true,"family":"Taylor","given":"Emily","email":"emtaylor@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":489308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":489309,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70096275,"text":"ds830 - 2014 - Gravity, magnetic, and radiometric data for Newberry Volcano, Oregon, and vicinity","interactions":[],"lastModifiedDate":"2019-03-15T10:33:40","indexId":"ds830","displayToPublicDate":"2014-04-18T14:38:00","publicationYear":"2014","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":"830","title":"Gravity, magnetic, and radiometric data for Newberry Volcano, Oregon, and vicinity","docAbstract":"Newberry Volcano in central Oregon is a 3,100-square-kilometer (1,200-square-mile) shield-shaped composite volcano, occupying a location east of the main north-south trend of the High Cascades volcanoes and forming a transition between the High Lava Plains subprovince of the Basin and Range Province to the east and the Cascade Range to the west. Magnetic, gravity, and radiometric data have been gathered and assessed for the region around the volcano. These data have widely varying quality and resolution, even within a given dataset, and these limitations are evaluated and described in this release.
Publicly available gravity data in general are too sparse to permit detailed modeling except along a few roads with high-density coverage. Likewise, magnetic data are also unsuitable for all but very local modeling, primarily because available data consist of a patchwork of datasets with widely varying line-spacing. Gravity data show only the broadest correlation with mapped geology, whereas magnetic data show moderate correlation with features only in the vicinity of Newberry Caldera. At large scales, magnetic data correlate poorly with both geologic mapping and gravity data. These poor correlations are largely due to the different sensing depths of the two potential fields methods, which respond to physical properties deeper than the surficial geology. Magnetic data derive from rocks no deeper than the Curie-point isotherm depth (10 to 15 kilometers, km, maximum), whereas gravity data reflect density-contrasts to 100 to 150 km depths. Radiometric data from the National Uranium Resource Evaluation (NURE) surveys of the 1980s have perhaps the coarsest line-spacing of all (as much as 10 km between lines) and are extremely “noisy” for several reasons inherent to this kind of data. Despite its shallow-sensing character, only a few larger anomalies in the NURE data correlate well with geologic mapping.
The purpose of this data series release is to collect and place the available geophysical data in the hands of other investigators in a readily comprehensible form. All data-compilation, splicing, filtering, and overlay-map displays were accomplished with the commercial Geosoft™ system, Advanced Option. Images are provided in both JPG and PDF formats.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds830","issn":"2327-638X","usgsCitation":"Wynn, J., 2014, Gravity, magnetic, and radiometric data for Newberry Volcano, Oregon, and vicinity: U.S. Geological Survey Data Series 830, HTML Document, https://doi.org/10.3133/ds830.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-042975","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":286430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds830.jpg"},{"id":283897,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0830/"},{"id":286429,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0830/COVER2.html"}],"country":"United States","state":"Oregon","otherGeospatial":"Newberry Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5,42.0 ], [ -122.5,45.0 ], [ -118.0,45.0 ], [ -118.0,42.0 ], [ -122.5,42.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53523b52e4b0198343cffa77","contributors":{"authors":[{"text":"Wynn, Jeff 0000-0002-8102-3882 jwynn@usgs.gov","orcid":"https://orcid.org/0000-0002-8102-3882","contributorId":2803,"corporation":false,"usgs":true,"family":"Wynn","given":"Jeff","email":"jwynn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":491500,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70095685,"text":"ofr20141039 - 2014 - Precipitation and streamflow data from the Fort Carson Military Reservation and precipitation, streamflow, and suspended-sediment data from the Piñon Canyon Maneuver Site, Southeastern Colorado, 2008-2012","interactions":[],"lastModifiedDate":"2014-04-22T08:21:09","indexId":"ofr20141039","displayToPublicDate":"2014-04-18T13:00:00","publicationYear":"2014","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":"2014-1039","title":"Precipitation and streamflow data from the Fort Carson Military Reservation and precipitation, streamflow, and suspended-sediment data from the Piñon Canyon Maneuver Site, Southeastern Colorado, 2008-2012","docAbstract":"In 2013, the U.S. Geological Survey (USGS), in cooperation with the U. S. Department of the Army, compiled available precipitation and streamflow data for the years of 2008–2012 from the Fort Carson Military Reservation (Fort Carson) near Colorado Springs, Colo., and precipitation, streamflow, and suspended-sediment loads from the Piñon Canyon Maneuver Site (PCMS) near Trinidad, Colo. Graphical representations of the data presented herein are a continuation of work completed by the USGS in 2008 to gain a better understanding of spatial and temporal trends within the hydrologic data.
\n\nPrecipitation stations at Fort Carson and the PCMS were divided into groups based on their land-surface altitude (LSA) to determine if there is a spatial difference in precipitation amounts based on LSA for either military facility. Two-sample t-tests and Wilcoxon rank-sum tests indicated statistically significant differences exist between precipitation values at different groups for Fort Carson but not for the PCMS. All five precipitation stations at Fort Carson exhibit a decrease in median daily total precipitation from years 2002–2007 to 2008–2012. For the PCMS, median precipitation values decreased from the first study period to the second for the 13 stations monitored year-round except for Burson and Big Hills.
\n\nMean streamflow for 2008–2012 is less than mean streamflow for 1983–2007 for all stream-gaging stations at Fort Carson and at the PCMS. During the study period, each of the stream-gaging stations within the tributary channels at the PCMS accounted for less than three percent of the total streamflow at the Purgatoire River at Rock Crossing gage. Peak streamflow for 2008–2012 is less than peak streamflow for 2002–2007 at both Fort Carson and the PCMS. At the PCMS, mean suspended-sediment yield for 2008–2012 increased by 54 percent in comparison to the mean yield for 2002–2007. This increase is likely related to the destruction of groundcover by a series of wildfires within the PCMS in 2008 and 2011.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141039","collaboration":"Prepared in cooperation with the U.S. Department of the Army","usgsCitation":"Brown, C.R., 2014, Precipitation and streamflow data from the Fort Carson Military Reservation and precipitation, streamflow, and suspended-sediment data from the Piñon Canyon Maneuver Site, Southeastern Colorado, 2008-2012: U.S. Geological Survey Open-File Report 2014-1039, v, 39 p., https://doi.org/10.3133/ofr20141039.","productDescription":"v, 39 p.","numberOfPages":"47","onlineOnly":"Y","ipdsId":"IP-050832","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":286419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141039.jpg"},{"id":286418,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1039/pdf/ofr2014-1039.pdf"},{"id":286417,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1039/"}],"projection":"World Geodetic System 84 projection zone 13","datum":"North American Datum of 1983","country":"United States","state":"Colorado","otherGeospatial":"Pi�on Canyon Maneuver Site","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105,38.416 ], [ -105,38.083 ], [ -104.583,38.083 ], [ -104.583,38.416 ], [ -105,38.416 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53523b53e4b0198343cffa7b","contributors":{"authors":[{"text":"Brown, Christopher R. crbrown@usgs.gov","contributorId":4751,"corporation":false,"usgs":true,"family":"Brown","given":"Christopher","email":"crbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491353,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70101782,"text":"fs20143036 - 2014 - The 3D Elevation Program: summary for North Dakota","interactions":[],"lastModifiedDate":"2016-08-17T15:43:54","indexId":"fs20143036","displayToPublicDate":"2014-04-17T14:05:37","publicationYear":"2014","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":"2014-3036","title":"The 3D Elevation Program: summary for North Dakota","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of North Dakota, elevation data are critical for agriculture and precision farming, natural resources conservation, water supply and quality, infrastructure and construction management, flood risk management, geologic resource assessment and hazard mitigation, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.
\nThe National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 ifsar data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios.The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey (USGS), the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation’s natural and constructed features.
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Dakota\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5350e9d4e4b05569d8055733","contributors":{"authors":[{"text":"Carswell, William J. Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":492759,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70095728,"text":"tm7C11 - 2014 - fatalityCMR: capture-recapture software to correct raw counts of wildlife fatalities using trial experiments for carcass detection probability and persistence time","interactions":[],"lastModifiedDate":"2024-03-04T20:03:47.379694","indexId":"tm7C11","displayToPublicDate":"2014-04-17T13:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C11","title":"fatalityCMR: capture-recapture software to correct raw counts of wildlife fatalities using trial experiments for carcass detection probability and persistence time","docAbstract":"Many industrial and agricultural activities involve wildlife fatalities by collision, poisoning or other involuntary harvest: wind turbines, highway network, utility network, tall structures, pesticides, etc. Impacted wildlife may benefit from official protection, including the requirement to monitor the impact. Carcass counts can often be conducted to quantify the number of fatalities, but they need to be corrected for carcass persistence time (removal by scavengers and decay) and detection probability (searcher efficiency). In this article we introduce a new piece of software that fits a superpopulation capture-recapture model to raw count data. It uses trial data to estimate detection and daily persistence probabilities. A recurrent issue is that fatalities of rare, protected species are infrequent, in which case the software offers the option to switch to an ‘evidence of absence’ mode, i.e., estimate the number of carcasses that may have been missed by field crews. The software allows distinguishing between different turbine types (e.g. different vegetation cover under turbines, or different technical properties), as well between two carcass age-classes or states, with transition between those classes (e.g, fresh and dry). There is a data simulation capacity that may be used at the planning stage to optimize sampling design. Resulting mortality estimates can be used 1) to quantify the required amount of compensation, 2) inform mortality projections for proposed development sites, and 3) inform decisions about management of existing sites.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C11","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Peron, G., and Hines, J., 2014, fatalityCMR: capture-recapture software to correct raw counts of wildlife fatalities using trial experiments for carcass detection probability and persistence time: U.S. Geological Survey Techniques and Methods 7-C11, iv, 14 p., https://doi.org/10.3133/tm7C11.","productDescription":"iv, 14 p.","onlineOnly":"Y","ipdsId":"IP-050478","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":286402,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm7c11.jpg"},{"id":286400,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/07/c11/"},{"id":286401,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/07/c11/pdf/tm7-c11.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","contact":"","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5350e9d5e4b05569d805573b","contributors":{"authors":[{"text":"Peron, Guillaume","contributorId":64569,"corporation":false,"usgs":true,"family":"Peron","given":"Guillaume","email":"","affiliations":[],"preferred":false,"id":491411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":491410,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70094749,"text":"ofr20141037 - 2014 - A geochemical perspective of Red Mountain: an unmined volcanogenic massive sulfide deposit in the Alaska Range","interactions":[],"lastModifiedDate":"2014-06-04T09:15:28","indexId":"ofr20141037","displayToPublicDate":"2014-04-17T08:14:00","publicationYear":"2014","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":"2014-1037","title":"A geochemical perspective of Red Mountain: an unmined volcanogenic massive sulfide deposit in the Alaska Range","docAbstract":"The U.S. Geological Survey (USGS) has investigated the environmental geochemistry of a group of unmined volcanogenic massive sulfide (VMS) deposits in the Bonnifield mining district, Alaska Range, east-central Alaska. The spectacularly colored Red Mountain deposit is the best exposed of these and provides excellent baseline geochemical data for natural environmental impacts of acidic rock drainage, metal dissolution and transport, and acidic salt and metal precipitation from an exposed and undisturbed VMS deposit.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141037","usgsCitation":"Giles, S.A., and Eppinger, R.G., 2014, A geochemical perspective of Red Mountain: an unmined volcanogenic massive sulfide deposit in the Alaska Range: U.S. Geological Survey Open-File Report 2014-1037, Map: 48 inches x 37.88 inches, https://doi.org/10.3133/ofr20141037.","productDescription":"Map: 48 inches x 37.88 inches","onlineOnly":"Y","ipdsId":"IP-051525","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":286388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141037.jpg"},{"id":286386,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1037/"},{"id":286387,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1037/pdf/ofr2014-1037.pdf"}],"scale":"24000","projection":"NAD 83","country":"United States","state":"Alaska","otherGeospatial":"Alaska Range;Red Mountain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -147.466667,63.9 ], [ -147.466667,63.95 ], [ -147.283333,63.95 ], [ -147.283333,63.9 ], [ -147.466667,63.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5350e9d2e4b05569d805572b","contributors":{"authors":[{"text":"Giles, Stuart A. 0000-0002-8696-5078 sgiles@usgs.gov","orcid":"https://orcid.org/0000-0002-8696-5078","contributorId":1233,"corporation":false,"usgs":true,"family":"Giles","given":"Stuart","email":"sgiles@usgs.gov","middleInitial":"A.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":490856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eppinger, Robert G. eppinger@usgs.gov","contributorId":849,"corporation":false,"usgs":true,"family":"Eppinger","given":"Robert","email":"eppinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":490855,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200747,"text":"70200747 - 2014 - Time causal operational estimation of electric fields induced in the Earth's lithosphere during magnetic storms","interactions":[],"lastModifiedDate":"2018-10-30T15:34:28","indexId":"70200747","displayToPublicDate":"2014-04-16T15:34:19","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Time causal operational estimation of electric fields induced in the Earth's lithosphere during magnetic storms","docAbstract":"In support of projects for monitoring geomagnetic hazards for electric power grids, we develop a simple mathematical formalism, consistent with the time causality of deterministic physics, for estimating electric fields that are induced in the Earth's lithosphere during magnetic storms. For an idealized model of the lithosphere, an infinite half‐space having uniform electrical conductivity properties described by a galvanic tensor, we work in the Laplace‐transformed frequency domain to obtain a transfer function which, when convolved with measured magnetic field time series, gives an estimated electric field time series. Using data collected at the Kakioka, Japan observatory, we optimize lithospheric conductivity parameters by minimizing the discrepancy between model‐estimated electric field variation and that actually measured. With our simple model, we can estimate 87% of the variance in storm time Kakioka electric field data; a more complicated model of lithospheric conductivity would be required to estimate the remaining 13% of the variance. We discuss how our estimation formalism might be implemented for geographically coordinated real‐time monitoring of geoelectric fields.
","language":"English","publisher":"AGU","doi":"10.1002/2014GL059568","usgsCitation":"Love, J.J., and Swidinsky, A., 2014, Time causal operational estimation of electric fields induced in the Earth's lithosphere during magnetic storms: Geophysical Research Letters, v. 41, no. 7, p. 2266-2274, https://doi.org/10.1002/2014GL059568.","productDescription":"9 p.","startPage":"2266","endPage":"2274","ipdsId":"IP-055819","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gl059568","text":"Publisher Index Page"},{"id":358985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-04-15","publicationStatus":"PW","scienceBaseUri":"5c10b697e4b034bf6a7ebea0","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":750348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swidinsky, Andrei","contributorId":146924,"corporation":false,"usgs":false,"family":"Swidinsky","given":"Andrei","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":750349,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70100253,"text":"ds831 - 2014 - Flow monitoring along the western Tamiami Trail between County Road 92 and State Road 29 in support of the Comprehensive Everglades Restoration Plan, 2007-2010","interactions":[],"lastModifiedDate":"2014-04-14T14:59:09","indexId":"ds831","displayToPublicDate":"2014-04-14T14:42:00","publicationYear":"2014","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":"831","title":"Flow monitoring along the western Tamiami Trail between County Road 92 and State Road 29 in support of the Comprehensive Everglades Restoration Plan, 2007-2010","docAbstract":"The construction of U.S. Highway 41 (Tamiami Trail), the Southern Golden Gate Estates development, and the Barron River Canal has altered the flow of freshwater to the Ten Thousand Islands estuary of Southwest Florida. Two restoration projects, the Picayune Strand Restoration Project and the Tamiami Trail Culverts Project, both associated with the Comprehensive Everglades Restoration Plan, were initiated to address this issue. Quantifying the flow of freshwater to the estuary is essential to assessing the effectiveness of these projects.
\nThe U.S. Geological Survey conducted a study between March 2006 and September 2010 to quantify the freshwater flowing under theTamiami Trail between County Road 92 and State Road 29 in southwest Florida, excluding the Faka Union Canal (which is monitored by South Florida Water Management District). The study period was after the completion of the Tamiami Trail Culverts Project and prior to most of the construction related to the Picayune Restoration Project. The section of the Tamiami Trail that was studied contains too many structures (35 bridges and 16 culverts) to cost-effectively measure each structure on a continuous basis, so the area was divided into seven subbasins. One bridge within each of the subbasins was instrumented with an acoustic Doppler velocity meter. The index velocity method was used to compute discharge at the seven instrumented bridges. Periodic discharge measurements were made at all structures, using acoustic Doppler current profilers at bridges and acoustic Doppler velocity meters at culverts. Continuous daily mean values of discharge for the uninstrumented structures were calculated on the basis of relations between the measured discharge at the uninstrumented stations and the discharge and stage at the instrumented bridge. Estimates of daily mean discharge are available beginning in 2006 or 2007 through September 2010 for all structures. Subbasin comparison is limited to water years 2008–2010.
\nThe Faka Union Canal contributed more than half (on average 60 percent) of the flow under the Tamiami Trail between State Road 29 and County Road 92 during water years 2008–2010. During water years 2008–2010, an average 9 percent of the flow through the study area came from west of the Faka Union Canal and an average 31 percent came from east of the Faka Union Canal. Flow data provided by this study serve as baseline information about the seasonal and spatial distribution of freshwater flow under the Tamiami Trail between County Road 92 and State Road 29, and study results provide data to evaluate restoration efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds831","issn":"2327-638X","collaboration":"Prepared as part of the Greater Everglades Priority Ecosystems Science initiative and in cooperation with the National Park Service","usgsCitation":"Booth, A., Soderqvist, L.E., and Berry, M.C., 2014, Flow monitoring along the western Tamiami Trail between County Road 92 and State Road 29 in support of the Comprehensive Everglades Restoration Plan, 2007-2010: U.S. Geological Survey Data Series 831, Report: v, 24 p.; 3 Appendixes, https://doi.org/10.3133/ds831.","productDescription":"Report: v, 24 p.; 3 Appendixes","numberOfPages":"34","onlineOnly":"Y","temporalStart":"2007-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-052058","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":286341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds831.jpg"},{"id":286337,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0831/pdf/ds831.pdf"},{"id":286338,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0831/appendix/ds831_app1.xlsx"},{"id":286339,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0831/appendix/ds831_app2.xlsx"},{"id":286340,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0831/appendix/ds831_app3.xlsx"},{"id":286336,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0831/"}],"country":"United States","state":"Florida","otherGeospatial":"Tamiami Trail","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.906857,25.831031 ], [ -81.906857,26.413366 ], [ -81.449066,26.413366 ], [ -81.449066,25.831031 ], [ -81.906857,25.831031 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351703ce4b05569d805a208","contributors":{"authors":[{"text":"Booth, Amanda 0000-0002-2666-2366 acbooth@usgs.gov","orcid":"https://orcid.org/0000-0002-2666-2366","contributorId":5432,"corporation":false,"usgs":true,"family":"Booth","given":"Amanda","email":"acbooth@usgs.gov","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soderqvist, Lars E.","contributorId":92358,"corporation":false,"usgs":true,"family":"Soderqvist","given":"Lars","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":492126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berry, Marcia C. mcberry@usgs.gov","contributorId":5521,"corporation":false,"usgs":true,"family":"Berry","given":"Marcia","email":"mcberry@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":492125,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70049062,"text":"fs20133102 - 2014 - Water resources of St. Mary Parish, Louisiana","interactions":[],"lastModifiedDate":"2014-04-14T14:30:57","indexId":"fs20133102","displayToPublicDate":"2014-04-14T14:25:00","publicationYear":"2014","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":"2013-3102","title":"Water resources of St. Mary Parish, Louisiana","docAbstract":"Information concerning the availability, use, and quality of water in St. Mary Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for management of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133102","issn":"2327-6932","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Prakken, L., White, V.E., and Lovelace, J.K., 2014, Water resources of St. Mary Parish, Louisiana: U.S. Geological Survey Fact Sheet 2013-3102, 6 p., https://doi.org/10.3133/fs20133102.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-051029","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":286334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133102.jpg"},{"id":286332,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3102/"},{"id":286333,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3102/pdf/fs2013-3102.pdf"}],"projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","otherGeospatial":"St. Mary Parish","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.0,29.333333 ], [ -92.0,30.0 ], [ -91.0,30.0 ], [ -91.0,29.333333 ], [ -92.0,29.333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351706ee4b05569d805a448","contributors":{"authors":[{"text":"Prakken, Lawrence B.","contributorId":73978,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","affiliations":[],"preferred":false,"id":486092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486091,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovelace, John K. 0000-0002-8532-2599 jlovelac@usgs.gov","orcid":"https://orcid.org/0000-0002-8532-2599","contributorId":999,"corporation":false,"usgs":true,"family":"Lovelace","given":"John","email":"jlovelac@usgs.gov","middleInitial":"K.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486090,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70101780,"text":"70101780 - 2014 - Direct measurement of sub-surface mass change using the variable-baseline gravity gradient method","interactions":[],"lastModifiedDate":"2019-12-19T07:11:44","indexId":"70101780","displayToPublicDate":"2014-04-14T13:34:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Direct measurement of sub-surface mass change using the variable-baseline gravity gradient method","docAbstract":"Time-lapse gravity data provide a direct, non-destructive method to monitor mass changes at scales from cm to km. But, the effectively infinite spatial sensitivity of gravity measurements can make it difficult to isolate the signal of interest. The variable-baseline gravity gradient method, based on the difference of measurements between two gravimeters, is an alternative to the conventional approach of individually modeling all sources of mass and elevation change. This approach can improve the signal-to-noise ratio for many applications by removing the contributions of Earth tides, loading, and other signals that have the same effect on both gravimeters. At the same time, this approach can focus the support volume within a relatively small user-defined region of the subsurface. The method is demonstrated using paired superconducting gravimeters to make for the first time a large-scale, non-invasive measurement of infiltration wetting front velocity and change in water content above the wetting front.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014GL059673","usgsCitation":"Kennedy, J., Ferré, T., Guntner, A., Abe, M., and Creutzfeldt, B., 2014, Direct measurement of sub-surface mass change using the variable-baseline gravity gradient method: Geophysical Research Letters, v. 41, no. 8, p. 2827-2834, https://doi.org/10.1002/2014GL059673.","productDescription":"8 p.","startPage":"2827","endPage":"2834","numberOfPages":"8","ipdsId":"IP-055776","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":473053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gl059673","text":"Publisher Index Page"},{"id":286326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-04-28","publicationStatus":"PW","scienceBaseUri":"53517034e4b05569d805a1c7","contributors":{"authors":[{"text":"Kennedy, Jeffrey 0000-0002-3365-6589","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":101124,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","affiliations":[],"preferred":false,"id":492757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferré, Ty P.A.","contributorId":35647,"corporation":false,"usgs":false,"family":"Ferré","given":"Ty P.A.","affiliations":[],"preferred":false,"id":492755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntner, Andreas","contributorId":19476,"corporation":false,"usgs":true,"family":"Guntner","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":492754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abe, Maiko","contributorId":8381,"corporation":false,"usgs":true,"family":"Abe","given":"Maiko","email":"","affiliations":[],"preferred":false,"id":492753,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Creutzfeldt, Benjamin","contributorId":60128,"corporation":false,"usgs":true,"family":"Creutzfeldt","given":"Benjamin","affiliations":[],"preferred":false,"id":492756,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70101265,"text":"gip156 - 2014 - Coastal storm monitoring in Virginia","interactions":[],"lastModifiedDate":"2014-04-14T13:19:00","indexId":"gip156","displayToPublicDate":"2014-04-14T13:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"156","title":"Coastal storm monitoring in Virginia","docAbstract":"Coastal communities in Virginia are prone to flooding, particularly during hurricanes, nor’easters, and other coastal low-pressure systems. These weather systems affect public safety, personal and public property, and valuable infrastructure, such as transportation, water and sewer, and electric-supply networks.
\nLocal emergency managers, utility operators, and the public are tasked with making difficult decisions regarding evacuations, road closures, and post-storm recovery efforts as a result of coastal flooding. In coastal Virginia these decisions often are made on the basis of anecdotal knowledge from past events or predictions based on data from monitoring sites located far away from the affected area that may not reflect local conditions.
\nPreventing flood hazards, such as hurricane-induced storm surge, from becoming human disasters requires an understanding of the relative risks that flooding poses to specific communities. The risk to life and property can be very high if decisions about evacuations and road closures are made too late or not at all.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip156","issn":"2332-354X","usgsCitation":"Wicklein, S., and Bennett, M., 2014, Coastal storm monitoring in Virginia: U.S. Geological Survey General Information Product 156, 2 p., https://doi.org/10.3133/gip156.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-051451","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":286321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip156.jpg"},{"id":286319,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/0156/"},{"id":286320,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0156/pdf/gip156.pdf"}],"country":"United States","state":"Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.5231,36.5408 ], [ -77.5231,39.466 ], [ -75.2422,39.466 ], [ -75.2422,36.5408 ], [ -77.5231,36.5408 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351702ee4b05569d805a19c","contributors":{"authors":[{"text":"Wicklein, Shaun 0000-0003-4551-1237 smwickle@usgs.gov","orcid":"https://orcid.org/0000-0003-4551-1237","contributorId":3389,"corporation":false,"usgs":true,"family":"Wicklein","given":"Shaun","email":"smwickle@usgs.gov","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":492647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, Mark mrbennet@usgs.gov","contributorId":2147,"corporation":false,"usgs":true,"family":"Bennett","given":"Mark","email":"mrbennet@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492646,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70101772,"text":"70101772 - 2014 - Trends in precipitation, runoff, and evapotranspiration for rivers draining to the Gulf of Maine in the United States","interactions":[],"lastModifiedDate":"2019-09-06T08:32:09","indexId":"70101772","displayToPublicDate":"2014-04-14T12:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"Trends in precipitation, runoff, and evapotranspiration for rivers draining to the Gulf of Maine in the United States","docAbstract":"Climate warming is projected to result in increases in total annual precipitation in northeastern North America. The response of runoff to increases in precipitation is likely to be more complex because increasing evapotranspiration (ET) could counteract increasing precipitation. This study was conducted to examine these competing trends in the historical record for 22 rivers having >70 yr of runoff data. Annual (water year) average precipitation increased in all basins, with increases ranging from 0.9 to 3.12 mm yr−1. Runoff increased in all basins with increases ranging from 0.67 to 2.58 mm yr−1. The ET was calculated by using a water balance approach in which changes in terrestrial water storage were considered negligible. ET increased in 16 basins and decreased in 6 basins. Temporal trends in temperature, precipitation, runoff, and ET were also calculated for each basin over their respective periods of record for runoff and for the consistent period (1927–2011) for the area-weighted average of the nine largest non-nested basins. From 1927 through 2011, precipitation and runoff increased at average rates of 1.6 and 1.7 mm yr−1, respectively, and ET increased slightly at a rate of 0.18 mm yr−1. For the more recent period (1970–2011), there was a positive trend in ET of 1.9 mm yr−1. The lack of a more consistent increase in ET, compared with the increases in precipitation and runoff, for the full periods of record, was unexpected, but may be explained by various factors including decreasing wind speed, increasing cloudiness, decreasing vapor pressure deficit, and patterns of forest growth.","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JHM-D-13-018.1","usgsCitation":"Huntington, T.G., and Billmire, M., 2014, Trends in precipitation, runoff, and evapotranspiration for rivers draining to the Gulf of Maine in the United States: Journal of Hydrometeorology, v. 15, no. 2, p. 726-743, https://doi.org/10.1175/JHM-D-13-018.1.","productDescription":"18 p.","startPage":"726","endPage":"743","ipdsId":"IP-045940","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":473054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jhm-d-13-018.1","text":"Publisher Index Page"},{"id":286313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.5124,42.9561 ], [ -72.5124,47.4598 ], [ -66.9251,47.4598 ], [ -66.9251,42.9561 ], [ -72.5124,42.9561 ] ] ] } } ] }","volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-04-10","publicationStatus":"PW","scienceBaseUri":"5351706be4b05569d805a41f","contributors":{"authors":[{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","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":492743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Billmire, M.","contributorId":61339,"corporation":false,"usgs":true,"family":"Billmire","given":"M.","email":"","affiliations":[],"preferred":false,"id":492744,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}