Water-resource managers use daily mean streamflows to generate streamflow statistics and analyze streamflow conditions. An in-depth evaluation of flow regimes to promote instream ecological health often requires streamflow information obtainable only from a time series hydrograph. Historically, it has been difficult to estimate daily mean streamflow for an ungaged location. The U.S. Geological Survey (USGS), in cooperation with the Pennsylvania Department of Environmental Protection, Susquehanna River Basin Commission, and The Nature Conservancy, has developed the Baseline Streamflow Estimator (BaSE) to estimate baseline streamflow at a daily time scale for ungaged streams in Pennsylvania using data collected during water years 1960–2008. Baseline streamflow is minimally altered by regulation, diversion, or mining, and other anthropogenic activities. Daily mean streamflow is estimated in BaSE using a methodology that equates streamflow as a percentile from a flow duration curve for a particular day at an ungaged location with streamflow as a percentile from the flow duration curve for the same day at a reference streamgage that is considered to be hydrologically similar to the ungaged location. An appropriate reference streamgage is selected using map correlation, in which variogram models are developed that correlate streamflow at one streamgage with streamflows at all other streamgages. The percentiles from a flow duration curve for the ungaged location are converted to streamflow through the use of regression equations. Regression equations used to predict 17 flow-duration exceedance probabilities were developed for Pennsylvania using geographic information system-derived basin characteristics. The standard error of prediction for the regression equations ranged from 11 percent to 92 percent with the mean of 31 percent.
\nThe map correlation method for estimating streamflow was tested at locations within two pilot basins, the Upper Delaware River Basin and the Lower Susquehanna River Basin, before being applied statewide. Reference streamgages within the pilot basins were used as ungaged locations for analyzing the map correlation method. Correlation using Spearman’s rho and centroid distance performed as well as, or better than, the method using the closest streamgage as a reference streamgage. Map correlation using the correlation metrics identified in the pilot basins was applied to 156 streamgages in and near Pennsylvania.
\nBaSE uses the map correlation method and flow-duration exceedance probability regression equations to estimate baseline daily mean streamflow for an ungaged location. The output from BaSE is a Microsoft Excel® report file that summarizes the reference streamgage and ungaged location information, including basin characteristics, percent difference in basin characteristics between the two locations, any warning associated with the basin characteristics, mean and median streamflow for the ungaged location, and a daily hydrograph of streamflow for water years 1960–2008 for the ungaged location. The daily mean streamflow for the ungaged location can be exported as a text file to be used as input into other statistical software packages. BaSE estimates daily mean streamflow for baseline conditions only, and any alterations to streamflow from regulation, large water use, or substantial mining are not reflected in the estimated streamflow.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125142","collaboration":"Prepared in cooperation with the Pennsylvania Department of Environmental Protection, the Susquehanna River Basin Commission, and The Nature Conservancy","usgsCitation":"Stuckey, M.H., Koerkle, E.H., and Ulrich, J.E., 2012, Estimation of baseline daily mean streamflows for ungaged locations on Pennsylvania streams, water years 1960-2008 (First posted September 26, 2012; Revised and reposted August 11, 2014, version 1.1): U.S. Geological Survey Scientific Investigations Report 2012-5142, Report: viii, 56 p.; Appendix 5; Baseline Streamflow Estimator (v1.1), https://doi.org/10.3133/sir20125142.","productDescription":"Report: viii, 56 p.; Appendix 5; Baseline Streamflow Estimator (v1.1)","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1959-10-01","temporalEnd":"2008-09-30","costCenters":[{"id":532,"text":"Pennsylvania 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Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1209","title":"Data visualization, time-series analysis, and mass-balance modeling of hydrologic and water-quality data for the McTier Creek watershed, South Carolina, 2007-2009","docAbstract":"The McTier Creek watershed is located in the headwaters of the Edisto River Basin, which is in the Coastal Plain region of South Carolina. The Edisto ecosystem has some of the highest recorded fish-tissue mercury concentrations in the United States. In an effort to advance the understanding of the fate and transport of mercury in stream ecosystems, the U.S. Geological Survey, as part of its National Water-Quality Assessment Program, initiated a field investigation of mercury in the McTier Creek watershed in 2006. The initial efforts of the investigation included the collection of extensive hydrologic and water-quality field data, along with the development of several hydrologic and water-quality models. This series of measured and modeled data forms the primary source of information for this investigation to assess the fate and transport of mercury within the McTier Creek watershed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111209","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency National Exposure Research Laboratory","usgsCitation":"Benedict, S., Conrads, P., Feaster, T., Journey, C.A., Golden, H., Knightes, C.D., Davis, G.M., and Bradley, P.M., 2012, Data visualization, time-series analysis, and mass-balance modeling of hydrologic and water-quality data for the McTier Creek watershed, South Carolina, 2007-2009: U.S. Geological Survey Open-File Report 2011-1209, vi, 21 p.; col. ill.; maps (col.), https://doi.org/10.3133/ofr20111209.","productDescription":"vi, 21 p.; col. ill.; maps 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E.","contributorId":94914,"corporation":false,"usgs":true,"family":"Golden","given":"Heather E.","affiliations":[],"preferred":false,"id":467569,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knightes, Christopher D.","contributorId":32666,"corporation":false,"usgs":true,"family":"Knightes","given":"Christopher","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":467568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davis, Gary M.","contributorId":12741,"corporation":false,"usgs":true,"family":"Davis","given":"Gary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":467567,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467562,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70040043,"text":"70040043 - 2012 - Neighborhood and habitat effects on vital rates: expansion of the Barred Owl in the Oregon Coast Ranges","interactions":[],"lastModifiedDate":"2012-09-26T17:16:49","indexId":"70040043","displayToPublicDate":"2012-09-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Neighborhood and habitat effects on vital rates: expansion of the Barred Owl in the Oregon Coast Ranges","docAbstract":"In this paper, we modify dynamic occupancy models developed for detection-nondetection data to allow for the dependence of local vital rates on neighborhood occupancy, where neighborhood is defined very flexibly. Such dependence of occupancy dynamics on the status of a relevant neighborhood is pervasive, yet frequently ignored. Our framework permits joint inference about the importance of neighborhood effects and habitat covariates in determining colonization and extinction rates. Our specific motivation is the recent expansion of the Barred Owl (Strix varia) in western Oregon, USA, over the period 1990-2010. Because the focal period was one of dramatic range expansion and local population increase, the use of models that incorporate regional occupancy (sources of colonists) as determinants of dynamic rate parameters is especially appropriate. We began our analysis of 21 years of Barred Owl presence/nondetection data in the Tyee Density Study Area (TDSA) by testing a suite of six models that varied only in the covariates included in the modeling of detection probability. We then tested whether models that used regional occupancy as a covariate for colonization and extinction outperformed models with constant or year-specific colonization or extinction rates. Finally we tested whether habitat covariates improved the AIC of our models, focusing on which habitat covariates performed best, and whether the signs of habitat effects are consistent with a priori hypotheses. We conclude that all covariates used to model detection probability lead to improved AIC, that regional occupancy influences colonization and extinction rates, and that habitat plays an important role in determining extinction and colonization rates. As occupancy increases from low levels toward equilibrium, colonization increases and extinction decreases, presumably because there are more and more dispersing juveniles. While both rates are affected, colonization increases more than extinction decreases. Colonization is higher and extinction is lower in survey polygons with more riparian forest. The effects of riparian forest on extinction rates are greater than on colonization rates. Model results have implications for management of the invading Barred Owl, both through habitat alteration and removal.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA","publisherLocation":"Ithaca, NY","doi":"10.1890/11-1709.1","usgsCitation":"Yackulic, C.B., Reid, J., Davis, R., Hines, J., Nichols, J., and Forsman, E., 2012, Neighborhood and habitat effects on vital rates: expansion of the Barred Owl in the Oregon Coast Ranges: Ecology, v. 93, no. 8, p. 1953-1966, https://doi.org/10.1890/11-1709.1.","productDescription":"14 p.","startPage":"1953","endPage":"1966","numberOfPages":"14","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":262070,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262067,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-1709.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","volume":"93","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-08-03","publicationStatus":"PW","scienceBaseUri":"50e0970fe4b0fec3206ee88b","contributors":{"authors":[{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":467545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Janice","contributorId":89391,"corporation":false,"usgs":false,"family":"Reid","given":"Janice","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":467547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Raymond","contributorId":91349,"corporation":false,"usgs":true,"family":"Davis","given":"Raymond","affiliations":[],"preferred":false,"id":467548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":467544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":467543,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Forsman, Eric","contributorId":28470,"corporation":false,"usgs":true,"family":"Forsman","given":"Eric","affiliations":[],"preferred":false,"id":467546,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70040052,"text":"ofr20121197 - 2012 - Sampling and analysis plan for the characterization of groundwater quality in two monitoring wells near Pavillion, Wyoming","interactions":[],"lastModifiedDate":"2012-09-26T17:16:49","indexId":"ofr20121197","displayToPublicDate":"2012-09-26T00:00:00","publicationYear":"2012","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":"2012-1197","title":"Sampling and analysis plan for the characterization of groundwater quality in two monitoring wells near Pavillion, Wyoming","docAbstract":"In June 2010, the U.S. Environmental Protection Agency installed two deep monitoring wells (MW01 and MW02) near Pavillion, Wyoming to study groundwater quality. The U.S Geological Survey, in cooperation with the Wyoming Department of Environmental Quality, designed a plan to collect groundwater data from these monitoring wells. This sampling and analysis plan describes the sampling equipment that will be used, well purging strategy, purge water disposal, sample collection and processing, field and laboratory sample analysis, equipment decontamination, and quality-assurance and quality-control procedures.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121197","collaboration":"Prepared in cooperation with the Wyoming Department of Environmental Quality","usgsCitation":"Wright, P., and McMahon, P.B., 2012, Sampling and analysis plan for the characterization of groundwater quality in two monitoring wells near Pavillion, Wyoming: U.S. Geological Survey Open-File Report 2012-1197, vii, 90 p.; map (col.), https://doi.org/10.3133/ofr20121197.","productDescription":"vii, 90 p.; map (col.)","startPage":"i","endPage":"90","numberOfPages":"97","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":262103,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1197.gif"},{"id":262097,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1197/OF12-1197.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262098,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1197/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","city":"Pavillion","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4b52ae4b0e8fec6cde5f6","contributors":{"authors":[{"text":"Wright, Peter R. prwright@usgs.gov","contributorId":1828,"corporation":false,"usgs":true,"family":"Wright","given":"Peter R.","email":"prwright@usgs.gov","affiliations":[],"preferred":true,"id":467575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467574,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70040047,"text":"fs20123100 - 2012 - The National Nonindigenous Aquatic Species Database","interactions":[],"lastModifiedDate":"2017-06-07T13:24:36","indexId":"fs20123100","displayToPublicDate":"2012-09-26T00:00:00","publicationYear":"2012","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":"2012-3100","title":"The National Nonindigenous Aquatic Species Database","docAbstract":"The U.S. Geological Survey (USGS) Nonindigenous Aquatic Species (NAS) Program maintains a database that monitors, records, and analyzes sightings of nonindigenous aquatic plant and animal species throughout the United States. The program is based at the USGS Wetland and Aquatic Research Center in Gainesville, Florida.
The initiative to maintain scientific information on nationwide occurrences of nonindigenous aquatic species began with the Aquatic Nuisance Species Task Force, created by Congress in 1990 to provide timely information to natural resource managers. Since then, the NAS database has been a clearinghouse of information for confirmed sightings of nonindigenous, also known as nonnative, aquatic species throughout the Nation. The database is used to produce email alerts, maps, summary graphs, publications, and other information products to support natural resource managers.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123100","usgsCitation":"Neilson, M.E., and Fuller, P.L., 2012, The National Nonindigenous Aquatic Species Database (Version 1.0: Originally posted September 26, 2012; Version 1.1: May 25, 2017): U.S. Geological Survey Fact Sheet 2012-3100, 4 p., https://doi.org/10.3133/fs20123100.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":262100,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3100.jpg"},{"id":262079,"rank":100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3100/","text":"Index page","linkFileType":{"id":5,"text":"html"}},{"id":341963,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2012/3100/versionHist.txt","linkFileType":{"id":2,"text":"txt"}},{"id":341780,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3100/fs20123100.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":341781,"rank":5,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2012/3100/coverthb2.jpg"}],"edition":"Version 1.0: Originally posted September 26, 2012; Version 1.1: May 25, 2017","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4fd3ae4b0e8fec6ce87d8","contributors":{"authors":[{"text":"Neilson, Matthew E. 0000-0002-5139-5677 mneilson@usgs.gov","orcid":"https://orcid.org/0000-0002-5139-5677","contributorId":145623,"corporation":false,"usgs":false,"family":"Neilson","given":"Matthew","email":"mneilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":16178,"text":"Cherokee Nation Technology Services","active":true,"usgs":false}],"preferred":false,"id":467552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Pamela L. 0000-0002-9389-9144 pfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":3217,"corporation":false,"usgs":true,"family":"Fuller","given":"Pamela","email":"pfuller@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":467553,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70040041,"text":"sir20125192 - 2012 - Spatial and seasonal variability of base flow in the Verde Valley, central Arizona, 2007 and 2011","interactions":[],"lastModifiedDate":"2012-09-26T17:16:49","indexId":"sir20125192","displayToPublicDate":"2012-09-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5192","title":"Spatial and seasonal variability of base flow in the Verde Valley, central Arizona, 2007 and 2011","docAbstract":"Synoptic base-flow surveys were conducted on streams in the Verde Valley, central Arizona, in June 2007 and February 2011 by the U.S. Geological Survey (USGS), in cooperation with the Verde River Basin Partnership, the Town of Clarkdale, and Yavapai County. These surveys, also known as seepage runs, measured streamflow under base-flow conditions at many locations over a short period of time. Surveys were conducted on a segment of the Verde River that flows through the Verde Valley, between USGS streamflow-gaging stations 09504000 and 09506000, a distance of 51 river miles. Data from the surveys were used to investigate the dominant controls on Verde River base flow, spatial variability in gaining and losing reaches, and the effects that human alterations have on base flow in the surface-water system. The most prominent human alterations in the Verde Valley are dozens of surface-water diversions from streams, including gravity-fed ditch diversions along the Verde River.Base flow that entered the Verde River from the tributary streams of Oak Creek, Beaver Creek, and West Clear Creek was found to be a major source of base flow in the Verde River. Groundwater discharge directly into the Verde River near these three confluences also was an important contributor of base flow to the Verde River, particularly near the confluence with Beaver Creek. An examination of individual reaches of the Verde River in the Verde Valley found three reaches (largely unaffected by ditch diversions) exhibiting a similar pattern: a small net groundwater discharge in February 2011 (12 cubic feet per second or less) and a small net streamflow loss in June 2007 (11 cubic feet per second or less). Two reaches heavily affected by ditch diversions were difficult to interpret because of the large number of confounding human factors. Possible lower and upper bounds of net groundwater flux were calculated for all reaches, including those heavily affected by ditches.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125192","collaboration":"Prepared in cooperation with the Verde River Basin Partnership, the Town of Clarkdale, and Yavapai County","usgsCitation":"Garner, B.D., and Bills, D., 2012, Spatial and seasonal variability of base flow in the Verde Valley, central Arizona, 2007 and 2011: U.S. Geological Survey Scientific Investigations Report 2012-5192, v, 33 p.; col. ill.; maps (col.); Appendices, https://doi.org/10.3133/sir20125192.","productDescription":"v, 33 p.; col. ill.; maps (col.); Appendices","startPage":"i","endPage":"33","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-06-01","temporalEnd":"2011-02-28","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":262062,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5192.gif"},{"id":262060,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5192/","linkFileType":{"id":5,"text":"html"}},{"id":262061,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5192/sir2012-5192.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Arizona","otherGeospatial":"Verde Valley","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4cde8e4b0e8fec6ce21ff","contributors":{"authors":[{"text":"Garner, Bradley D. 0000-0002-6912-5093 bdgarner@usgs.gov","orcid":"https://orcid.org/0000-0002-6912-5093","contributorId":2133,"corporation":false,"usgs":true,"family":"Garner","given":"Bradley","email":"bdgarner@usgs.gov","middleInitial":"D.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":467536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bills, Donald J. djbills@usgs.gov","contributorId":4180,"corporation":false,"usgs":true,"family":"Bills","given":"Donald J.","email":"djbills@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":467537,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70040051,"text":"ds718 - 2012 - Groundwater-quality and quality-control data for two monitoring wells near Pavillion, Wyoming, April and May 2012","interactions":[],"lastModifiedDate":"2012-09-26T17:16:49","indexId":"ds718","displayToPublicDate":"2012-09-26T00:00:00","publicationYear":"2012","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":"718","title":"Groundwater-quality and quality-control data for two monitoring wells near Pavillion, Wyoming, April and May 2012","docAbstract":"In June 2010, the U.S. Environmental Protection Agency installed two deep monitoring wells (MW01 and MW02) near Pavillion, Wyoming, to study groundwater quality. During April and May 2012, the U.S Geological Survey, in cooperation with the Wyoming Department of Environmental Quality, collected groundwater-quality data and quality-control data from monitoring well MW01 and, following well redevelopment, quality-control data for monitoring well MW02. Two groundwater-quality samples were collected from well MW01—one sample was collected after purging about 1.5 borehole volumes, and a second sample was collected after purging 3 borehole volumes. Both samples were collected and processed using methods designed to minimize atmospheric contamination or changes to water chemistry. Groundwater-quality samples were analyzed for field water-quality properties (water temperature, pH, specific conductance, dissolved oxygen, oxidation potential); inorganic constituents including naturally occurring radioactive compounds (radon, radium-226 and radium-228); organic constituents; dissolved gasses; stable isotopes of methane, water, and dissolved inorganic carbon; and environmental tracers (carbon-14, chlorofluorocarbons, sulfur hexafluoride, tritium, helium, neon, argon, krypton, xenon, and the ratio of helium-3 to helium-4). Quality-control sample results associated with well MW01 were evaluated to determine the extent to which environmental sample analytical results were affected by bias and to evaluate the variability inherent to sample collection and laboratory analyses. Field documentation, environmental data, and quality-control data for activities that occurred at the two monitoring wells during April and May 2012 are presented.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds718","collaboration":"In cooperation with the Wyoming Department of Environmental Quality","usgsCitation":"Wright, P., McMahon, P.B., Mueller, D.K., and Clark, M.L., 2012, Groundwater-quality and quality-control data for two monitoring wells near Pavillion, Wyoming, April and May 2012: U.S. Geological Survey Data Series 718, vi, 23 p.; col. ill.; map (col.); Downloads Directory, https://doi.org/10.3133/ds718.","productDescription":"vi, 23 p.; col. ill.; map (col.); Downloads Directory","startPage":"i","endPage":"23","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":262102,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_718.gif"},{"id":262094,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/718/","linkFileType":{"id":5,"text":"html"}},{"id":262095,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/718/DS718_508.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262096,"rank":9999,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/718/downloads/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","city":"Pavillion","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50de6ad2e4b0e31bb02a30ab","contributors":{"authors":[{"text":"Wright, Peter R. prwright@usgs.gov","contributorId":1828,"corporation":false,"usgs":true,"family":"Wright","given":"Peter R.","email":"prwright@usgs.gov","affiliations":[],"preferred":true,"id":467573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, David K. mueller@usgs.gov","contributorId":1585,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"mueller@usgs.gov","middleInitial":"K.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":467571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Melanie L. mlclark@usgs.gov","contributorId":1827,"corporation":false,"usgs":true,"family":"Clark","given":"Melanie","email":"mlclark@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467572,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70255881,"text":"70255881 - 2012 - An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by combining Landsat, MODIS, and secondary data","interactions":[],"lastModifiedDate":"2024-07-09T13:32:55.362554","indexId":"70255881","displayToPublicDate":"2012-09-25T08:28:03","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by combining Landsat, MODIS, and secondary data","docAbstract":"The overarching goal of this research was to develop and demonstrate an automated Cropland Classification Algorithm (ACCA) that will rapidly, routinely, and accurately classify agricultural cropland extent, areas, and characteristics (e.g., irrigated vs. rainfed) over large areas such as a country or a region through combination of multi-sensor remote sensing and secondary data. In this research, a rule-based ACCA was conceptualized, developed, and demonstrated for the country of Tajikistan using mega file data cubes (MFDCs) involving data from Landsat Global Land Survey (GLS), Landsat Enhanced Thematic Mapper Plus (ETM+) 30 m, Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m time-series, a suite of secondary data (e.g., elevation, slope, precipitation, temperature), and in situ data. First, the process involved producing an accurate reference (or truth) cropland layer (TCL), consisting of cropland extent, areas, and irrigated vs. rainfed cropland areas, for the entire country of Tajikistan based on MFDC of year 2005 (MFDC2005). The methods involved in producing TCL included using ISOCLASS clustering, Tasseled Cap bi-spectral plots, spectro-temporal characteristics from MODIS 250 m monthly normalized difference vegetation index (NDVI) maximum value composites (MVC) time-series, and textural characteristics of higher resolution imagery. The TCL statistics accurately matched with the national statistics of Tajikistan for irrigated and rainfed croplands, where about 70% of croplands were irrigated and the rest rainfed. Second, a rule-based ACCA was developed to replicate the TCL accurately (∼80% producer’s and user’s accuracies or within 20% quantity disagreement involving about 10 million Landsat 30 m sized cropland pixels of Tajikistan). Development of ACCA was an iterative process involving series of rules that are coded, refined, tweaked, and re-coded till ACCA derived croplands (ACLs) match accurately with TCLs. Third, the ACCA derived cropland layers of Tajikistan were produced for year 2005 (ACL2005), same year as the year used for developing ACCA, using MFDC2005. Fourth, TCL for year 2010 (TCL2010), an independent year, was produced using MFDC2010 using the same methods and approaches as the one used to produce TCL2005. Fifth, the ACCA was applied on MFDC2010 to derive ACL2010. The ACLs were then compared with TCLs (ACL2005 vs. TCL2005 and ACL2010 vs. TCL2010). The resulting accuracies and errors from error matrices involving about 152 million Landsat (30 m) pixels of the country of Tajikistan (of which about 10 million Landsat size, 30 m, cropland pixels) showed an overall accuracy of 99.6% (khat = 0.97) for ACL2005 vs. TCL2005. For the 3 classes (irrigated, rainfed, and others) mapped in ACL2005, the producer’s accuracy was >86.4% and users accuracy was >93.6%. For ACL2010 vs. TCL2010, the error matrix showed an overall accuracy on 96.2% (khat = 0.96). For the 3 classes (irrigated, rainfed, and others) mapped in ACL2010, the producer’s and user’s accuracies for the irrigated areas were ≥82.9%. Any intermixing was overwhelmingly between irrigated and rainfed croplands, indicating that croplands (irrigated plus rainfed areas) as well as irrigated areas were mapped with high levels of accuracies (∼90% or higher) even for the independent year. The ACL2005 and ACL2010, each, were produced using ACCA algorithm in ∼30 min using a Dell Precision desktop T7400 computer for the entire country of Tajikistan once the MFDCs for the years were ready. The ACCA algorithm for Tajikistan is made available through US Geological Survey’s ScienceBase: http://www.sciencebase.gov/catalog/folder/4f79f1b7e4b0009bd827f548 or at: https://powellcenter.usgs.gov/globalcroplandwater/content/models-algorithms. The research contributes to the efforts of global food security through research on global croplands and their water use (e.g., https://powellcenter.usgs.gov/globalcroplandwater/). The above results clearly demonstrated the ability of a rule-based ACCA to rapidly and accurately produce cropland data layer year after year (hindcast, nowcast, forecast) for the country it was developed using MFDCs that consist of combining multiple sensor data and secondary data. It needs to be noted that the ACCA is applicable to the area (e.g., country, region) for which it is developed. In this case, ACCA is applicable for the Country of Tajikistan to hindcast, nowcast, and forecast agricultural cropland extent, areas, and irrigated vs. rainfed. The same fundamental concept of ACCA applies to other areas of the World where ACCA codes need to be modified to suite the area/region of interest. ACCA can also be expanded to compute other crop characteristics such as crop types, cropping intensities, and phenologies.
","language":"English","publisher":"MDPI","doi":"10.3390/rs4102890","usgsCitation":"Thenkabail, P.S., and Wu, Z., 2012, An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by combining Landsat, MODIS, and secondary data: Remote Sensing, v. 4, no. 10, p. 2890-2918, https://doi.org/10.3390/rs4102890.","productDescription":"29 p.","startPage":"2890","endPage":"2918","ipdsId":"IP-035313","costCenters":[{"id":273,"text":"Flagstaff Science Center","active":false,"usgs":true}],"links":[{"id":474346,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs4102890","text":"Publisher Index Page"},{"id":430841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Tajikistan","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[71.0142,40.24437],[70.64802,39.93575],[69.55961,40.10321],[69.46489,39.52668],[70.54916,39.6042],[71.78469,39.27946],[73.67538,39.43124],[73.92885,38.50582],[74.25751,38.60651],[74.86482,38.37885],[74.82999,37.99001],[74.98,37.41999],[73.9487,37.42157],[73.26006,37.49526],[72.63689,37.04756],[72.19304,36.94829],[71.84464,36.73817],[71.44869,37.06564],[71.54192,37.90577],[71.2394,37.95327],[71.34813,38.25891],[70.80682,38.48628],[70.3763,38.1384],[70.27057,37.73516],[70.11658,37.58822],[69.51879,37.609],[69.19627,37.15114],[68.85945,37.34434],[68.13556,37.02312],[67.83,37.14499],[68.39203,38.15703],[68.17603,38.90155],[67.44222,39.14014],[67.70143,39.58048],[68.53642,39.53345],[69.01163,40.08616],[69.32949,40.72782],[70.66662,40.96021],[70.45816,40.49649],[70.60141,40.21853],[71.0142,40.24437]]]},\"properties\":{\"name\":\"Tajikistan\"}}]}","volume":"4","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":905870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Zhuoting 0000-0001-7393-1832 zwu@usgs.gov","orcid":"https://orcid.org/0000-0001-7393-1832","contributorId":4953,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","email":"zwu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":905871,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70040019,"text":"tm7C8 - 2012 - Approaches in highly parameterized inversion-PESTCommander, a graphical user interface for file and run management across networks","interactions":[],"lastModifiedDate":"2012-10-03T17:16:16","indexId":"tm7C8","displayToPublicDate":"2012-09-25T00:00:00","publicationYear":"2012","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-C8","title":"Approaches in highly parameterized inversion-PESTCommander, a graphical user interface for file and run management across networks","docAbstract":"Models of environmental systems have become increasingly complex, incorporating increasingly large numbers of parameters in an effort to represent physical processes on a scale approaching that at which they occur in nature. Consequently, the inverse problem of parameter estimation (specifically, model calibration) and subsequent uncertainty analysis have become increasingly computation-intensive endeavors. Fortunately, advances in computing have made computational power equivalent to that of dozens to hundreds of desktop computers accessible through a variety of alternate means: modelers have various possibilities, ranging from traditional Local Area Networks (LANs) to cloud computing. Commonly used parameter estimation software is well suited to take advantage of the availability of such increased computing power. Unfortunately, logistical issues become increasingly important as an increasing number and variety of computers are brought to bear on the inverse problem. To facilitate efficient access to disparate computer resources, the PESTCommander program documented herein has been developed to provide a Graphical User Interface (GUI) that facilitates the management of model files (\"file management\") and remote launching and termination of \"slave\" computers across a distributed network of computers (\"run management\"). In version 1.0 described here, PESTCommander can access and ascertain resources across traditional Windows LANs: however, the architecture of PESTCommander has been developed with the intent that future releases will be able to access computing resources (1) via trusted domains established in Wide Area Networks (WANs) in multiple remote locations and (2) via heterogeneous networks of Windows- and Unix-based operating systems. The design of PESTCommander also makes it suitable for extension to other computational resources, such as those that are available via cloud computing. Version 1.0 of PESTCommander was developed primarily to work with the parameter estimation software PEST; the discussion presented in this report focuses on the use of the PESTCommander together with Parallel PEST. However, PESTCommander can be used with a wide variety of programs and models that require management, distribution, and cleanup of files before or after model execution. In addition to its use with the Parallel PEST program suite, discussion is also included in this report regarding the use of PESTCommander with the Global Run Manager GENIE, which was developed simultaneously with PESTCommander.","largerWorkTitle":"Automated Data Processing and Computations (Book 7)","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C8","collaboration":"Great Lakes Restoration Initiative. This report is Chapter 8 of Section C in Book 7, Automated Data Processing and Computations.","usgsCitation":"Karanovic, M., Muffels, C.T., Tonkin, M.J., and Hunt, R.J., 2012, Approaches in highly parameterized inversion-PESTCommander, a graphical user interface for file and run management across networks: U.S. Geological Survey Techniques and Methods 7-C8, iii; 9 p.; PESTCommander Software, https://doi.org/10.3133/tm7C8.","productDescription":"iii; 9 p.; PESTCommander Software","numberOfPages":"18","onlineOnly":"Y","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":262049,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_7_c8.gif"},{"id":262044,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm7c8/","linkFileType":{"id":5,"text":"html"}},{"id":262045,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm7c8/pdf/TMBook7_ChapC8.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50788b9ae4b0cfc2d59f59d5","contributors":{"authors":[{"text":"Karanovic, Marinko","contributorId":54831,"corporation":false,"usgs":true,"family":"Karanovic","given":"Marinko","email":"","affiliations":[],"preferred":false,"id":467490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muffels, Christopher T.","contributorId":105949,"corporation":false,"usgs":true,"family":"Muffels","given":"Christopher","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":467491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tonkin, Matthew J.","contributorId":26376,"corporation":false,"usgs":true,"family":"Tonkin","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467489,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467488,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70040007,"text":"70040007 - 2012 - Subsurface gas hydrates in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2012-09-25T17:16:32","indexId":"70040007","displayToPublicDate":"2012-09-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Subsurface gas hydrates in the northern Gulf of Mexico","docAbstract":"The northernGulf of Mexico (GoM) has long been a focus area for the study of gashydrates. Throughout the 1980s and 1990s, work focused on massive gashydrates deposits that were found to form at and near the seafloor in association with hydrocarbon seeps. However, as global scientific and industrial interest in assessment of the drilling hazards and resource implications of gashydrate accelerated, focus shifted to understanding the nature and abundance of \"buried\" gashydrates. Through 2005, despite the drilling of more than 1200 oil and gas industry wells through the gashydrate stability zone, published evidence of significant sub-seafloor gashydrate in the GoM was lacking. A 2005 drilling program by the GoM GasHydrate Joint Industry Project (the JIP) provided an initial confirmation of the occurrence of gashydrates below the GoM seafloor. In 2006, release of data from a 2003 industry well in Alaminos Canyon 818 provided initial documentation of gashydrate occurrence at high concentrations in sand reservoirs in the GoM. From 2006 to 2008, the JIP facilitated the integration of geophysical and geological data to identify sites prospective for gashydrate-bearing sands, culminating in the recommendation of numerous drilling targets within four sites spanning a range of typical deepwater settings. Concurrent with, but independent of, the JIP prospecting effort, the Bureau of Ocean Energy Management (BOEM) conducted a preliminary assessment of the GoM gashydratepetroleum system, resulting in an estimate of 607 trillion cubic meters (21,444 trillion cubic feet) gas-in-place of which roughly one-third occurs at expected high concentrations in sand reservoirs. In 2009, the JIP drilled seven wells at three sites, discovering gashydrate at high saturation in sand reservoirs in four wells and suspected gashydrate at low to moderate saturations in two other wells. These results provide an initial confirmation of the complex nature and occurrence of gashydrate-bearing sands in the GoM, the efficacy of the integrated geological/geophysical prospecting approach used to identify the JIP drilling sites, and the relevance of the 2008 BOEM assessment.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine and Petroleum Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.marpetgeo.2011.10.003","usgsCitation":"Boswell, R., Collett, T.S., Frye, M., Shedd, W., McConnell, D.R., and Shelander, D., 2012, Subsurface gas hydrates in the northern Gulf of Mexico: Marine and Petroleum Geology, v. 34, no. 1, p. 4-30, https://doi.org/10.1016/j.marpetgeo.2011.10.003.","productDescription":"27 p.","startPage":"4","endPage":"30","numberOfPages":"26","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":262046,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262043,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2011.10.003","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.85,18.166666666666668 ], [ -97.85,30.383333333333333 ], [ -81.03333333333333,30.383333333333333 ], [ -81.03333333333333,18.166666666666668 ], [ -97.85,18.166666666666668 ] ] ] } } ] }","volume":"34","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4dfa4e4b0e8fec6ce49b7","contributors":{"authors":[{"text":"Boswell, Ray","contributorId":12307,"corporation":false,"usgs":true,"family":"Boswell","given":"Ray","affiliations":[],"preferred":false,"id":467435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":467434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frye, Matthew","contributorId":48428,"corporation":false,"usgs":true,"family":"Frye","given":"Matthew","affiliations":[],"preferred":false,"id":467439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shedd, William","contributorId":13851,"corporation":false,"usgs":true,"family":"Shedd","given":"William","affiliations":[],"preferred":false,"id":467436,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McConnell, Daniel R.","contributorId":47628,"corporation":false,"usgs":true,"family":"McConnell","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":467438,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shelander, Dianna","contributorId":40463,"corporation":false,"usgs":true,"family":"Shelander","given":"Dianna","email":"","affiliations":[],"preferred":false,"id":467437,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70040005,"text":"tm11D1 - 2012 - Methods of practice and guidelines for using survey-grade global navigation satellite systems (GNSS) to establish vertical datum in the United States Geological Survey","interactions":[],"lastModifiedDate":"2012-09-24T17:16:30","indexId":"tm11D1","displayToPublicDate":"2012-09-24T00:00:00","publicationYear":"2012","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":"11-D1","title":"Methods of practice and guidelines for using survey-grade global navigation satellite systems (GNSS) to establish vertical datum in the United States Geological Survey","docAbstract":"Geodetic surveys have evolved through the years to the use of survey-grade (centimeter level) global positioning to perpetuate and post-process vertical datum. The U.S. Geological Survey (USGS) uses Global Navigation Satellite Systems (GNSS) technology to monitor natural hazards, ensure geospatial control for climate and land use change, and gather data necessary for investigative studies related to water, the environment, energy, and ecosystems. Vertical datum is fundamental to a variety of these integrated earth sciences. Essentially GNSS surveys provide a three-dimensional position x, y, and z as a function of the North American Datum of 1983 ellipsoid and the most current hybrid geoid model. A GNSS survey may be approached with post-processed positioning for static observations related to a single point or network, or involve real-time corrections to provide positioning \"on-the-fly.\" Field equipment required to facilitate GNSS surveys range from a single receiver, with a power source for static positioning, to an additional receiver or network communicated by radio or cellular for real-time positioning. A real-time approach in its most common form may be described as a roving receiver augmented by a single-base station receiver, known as a single-base real-time (RT) survey. More efficient real-time methods involving a Real-Time Network (RTN) permit the use of only one roving receiver that is augmented to a network of fixed receivers commonly known as Continually Operating Reference Stations (CORS). A post-processed approach in its most common form involves static data collection at a single point. Data are most commonly post-processed through a universally accepted utility maintained by the National Geodetic Survey (NGS), known as the Online Position User Service (OPUS). More complex post-processed methods involve static observations among a network of additional receivers collecting static data at known benchmarks. Both classifications provide users flexibility regarding efficiency and quality of data collection. Quality assurance of survey-grade global positioning is often overlooked or not understood and perceived uncertainties can be misleading. GNSS users can benefit from a blueprint of data collection standards used to ensure consistency among USGS mission areas. A classification of GNSS survey qualities provide the user with the ability to choose from the highest quality survey used to establish objective points with low uncertainties, identified as a Level I, to a GNSS survey for general topographic control without quality assurance, identified as a Level IV. A Level I survey is strictly limited to post-processed methods, whereas Level II, Level III, and Level IV surveys integrate variations of a RT approach. Among these classifications, techniques involving blunder checks and redundancy are important, and planning that involves the assessment of the overall satellite configuration, as well as terrestrial and space weather, are necessary to ensure an efficient and quality campaign. Although quality indicators and uncertainties are identified in post-processed methods using CORS, the accuracy of a GNSS survey is most effectively expressed as a comparison to a local benchmark that has a high degree of confidence. Real-time and post-processed methods should incorporate these \"trusted\" benchmarks as a check during any campaign. Global positioning surveys are expected to change rapidly in the future. The expansion of continuously operating reference stations, combined with newly available satellite signals, and enhancements to the conterminous geoid, are all sufficient indicators for substantial growth in real-time positioning and quality thereof.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11D1","usgsCitation":"Rydlund, P.H., and Densmore, B.K., 2012, Methods of practice and guidelines for using survey-grade global navigation satellite systems (GNSS) to establish vertical datum in the United States Geological Survey: U.S. Geological Survey Techniques and Methods 11-D1, xii, 102 p., https://doi.org/10.3133/tm11D1.","productDescription":"xii, 102 p.","numberOfPages":"120","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":262029,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_11_D1.gif"},{"id":262022,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/11d1/","linkFileType":{"id":5,"text":"html"}},{"id":262023,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11d1/tm11-D1.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e03c8ae4b0fec3206eb34f","contributors":{"authors":[{"text":"Rydlund, Paul H. Jr. 0000-0001-9461-9944 prydlund@usgs.gov","orcid":"https://orcid.org/0000-0001-9461-9944","contributorId":3840,"corporation":false,"usgs":true,"family":"Rydlund","given":"Paul","suffix":"Jr.","email":"prydlund@usgs.gov","middleInitial":"H.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":467432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467433,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70040012,"text":"ofr20121166 - 2012 - Nearshore morphology, benthic structure, hydrodynamics, and coastal groundwater discharge near Kahekili Beach Park, Maui, Hawaii","interactions":[],"lastModifiedDate":"2025-05-14T13:56:05.174887","indexId":"ofr20121166","displayToPublicDate":"2012-09-24T00:00:00","publicationYear":"2012","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":"2012-1166","title":"Nearshore morphology, benthic structure, hydrodynamics, and coastal groundwater discharge near Kahekili Beach Park, Maui, Hawaii","docAbstract":"This report presents a brief summary of recent fieldwork conducted off Kahekili Beach Park, Maui, Hawaii, the site of the newly established U.S. Coral Reef Task Force priority study area at Kaanapali and the Hawaii Department of Land and Natural Resources, Division of Aquatic Resources, Kahekili Herbivore Fisheries Management Area (HFMA). The goals of this fieldwork are to provide new baseline information to help guide future studies and to provide first insights into rates and drivers of coastal groundwater discharge and associated constituent loadings into the priority study area's coastal waters. This study presents the first swath acoustic mapping information, in situ oceanographic instrument measurements, and coastal groundwater discharge estimates at this site based on the submarine groundwater discharge tracer radon-222 (222Rn). Coastal groundwater discharge rates ranged from about 22 to 50 centimeters per day, depending on proximity of the sampling mooring to the primary discharge vent. The water chemistry of the discharging groundwater was at times dramatically different than ambient seawater. For example, at the primary vent site at Kahekili, the concentrations of total dissolved nitrogen (TDN), dissolved silicate (DSi), and total dissolved phosphorus (TDP) in the discharging groundwater were 43.75 micromolar (μM), 583.49 μM, and 12.04 μM, respectively. These data extend our basic understanding of the morphology, benthic structure, and oceanographic setting of this vent site and provide a first estimate of the magnitude and physical forcings of submarine groundwater discharge and associated trace metals and nutrient loads here.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121166","usgsCitation":"Swarzenski, P.W., Storlazzi, C., Presto, M., Gibbs, A.E., Smith, C.G., Dimova, N.T., Dailer, M.L., and Logan, J., 2012, Nearshore morphology, benthic structure, hydrodynamics, and coastal groundwater discharge near Kahekili Beach Park, Maui, Hawaii: U.S. Geological Survey Open-File Report 2012-1166, iv, 34 p., https://doi.org/10.3133/ofr20121166.","productDescription":"iv, 34 p.","numberOfPages":"38","onlineOnly":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":262028,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1166.bmp"},{"id":262027,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1166/of2012-1166.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262026,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1166/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kahekili Beach Park, Maui","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.70083333333332,20.9175 ], [ -156.70083333333332,20.966666666666665 ], [ -156.6675,20.966666666666665 ], [ -156.6675,20.9175 ], [ -156.70083333333332,20.9175 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e09619e4b0fec3206ee811","contributors":{"authors":[{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":467447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":77889,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[],"preferred":false,"id":467454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Presto, M. Katherine","contributorId":30192,"corporation":false,"usgs":true,"family":"Presto","given":"M. Katherine","affiliations":[],"preferred":false,"id":467450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":467448,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467449,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dimova, Natasha T.","contributorId":50769,"corporation":false,"usgs":true,"family":"Dimova","given":"Natasha","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":467453,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dailer, Meghan L.","contributorId":42471,"corporation":false,"usgs":true,"family":"Dailer","given":"Meghan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":467452,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Logan, Joshua B.","contributorId":34470,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua B.","affiliations":[],"preferred":false,"id":467451,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70040010,"text":"sir20125189 - 2012 - Quantification of aquifer properties with surface nuclear magnetic resonance in the Platte River valley, central Nebraska, using a novel inversion method","interactions":[],"lastModifiedDate":"2012-09-24T17:16:30","indexId":"sir20125189","displayToPublicDate":"2012-09-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5189","title":"Quantification of aquifer properties with surface nuclear magnetic resonance in the Platte River valley, central Nebraska, using a novel inversion method","docAbstract":"Surface nuclear magnetic resonance, a noninvasive geophysical method, measures a signal directly related to the amount of water in the subsurface. This allows for low-cost quantitative estimates of hydraulic parameters. In practice, however, additional factors influence the signal, complicating interpretation. The U.S. Geological Survey, in cooperation with the Central Platte Natural Resources District, evaluated whether hydraulic parameters derived from surface nuclear magnetic resonance data could provide valuable input into groundwater models used for evaluating water-management practices. Two calibration sites in Dawson County, Nebraska, were chosen based on previous detailed hydrogeologic and geophysical investigations. At both sites, surface nuclear magnetic resonance data were collected, and derived parameters were compared with results from four constant-discharge aquifer tests previously conducted at those same sites. Additionally, borehole electromagnetic-induction flowmeter data were analyzed as a less-expensive surrogate for traditional aquifer tests. Building on recent work, a novel surface nuclear magnetic resonance modeling and inversion method was developed that incorporates electrical conductivity and effects due to magnetic-field inhomogeneities, both of which can have a substantial impact on the data. After comparing surface nuclear magnetic resonance inversions at the two calibration sites, the nuclear magnetic-resonance-derived parameters were compared with previously performed aquifer tests in the Central Platte Natural Resources District. This comparison served as a blind test for the developed method. The nuclear magnetic-resonance-derived aquifer parameters were in agreement with results of aquifer tests where the environmental noise allowed data collection and the aquifer test zones overlapped with the surface nuclear magnetic resonance testing. In some cases, the previously performed aquifer tests were not designed fully to characterize the aquifer, and the surface nuclear magnetic resonance was able to provide missing data. In favorable locations, surface nuclear magnetic resonance is able to provide valuable noninvasive information about aquifer parameters and should be a useful tool for groundwater managers in Nebraska.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125189","collaboration":"Prepared in cooperation with the Central Platte Natural Resources District and the Nebraska Environmental Trust","usgsCitation":"Irons, T.P., Hobza, C.M., Steele, G.V., Abraham, J., Cannia, J.C., and Woodward, D.D., 2012, Quantification of aquifer properties with surface nuclear magnetic resonance in the Platte River valley, central Nebraska, using a novel inversion method: U.S. Geological Survey Scientific Investigations Report 2012-5189, viii, 50 p., https://doi.org/10.3133/sir20125189.","productDescription":"viii, 50 p.","numberOfPages":"61","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":262030,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5189.gif"},{"id":262024,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5189/","linkFileType":{"id":5,"text":"html"}},{"id":262025,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5189/sir2012-5189.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"100000","projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Nebraska","county":"Buffalo;Dawson;Hall;Merrick","otherGeospatial":"Central Platte Natural Resources District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.25,40.5 ], [ -100.25,41.5 ], [ -97.5,41.5 ], [ -97.5,40.5 ], [ -100.25,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4972ae4b0e8fec6cd999c","contributors":{"authors":[{"text":"Irons, Trevor P. tirons@usgs.gov","contributorId":4851,"corporation":false,"usgs":true,"family":"Irons","given":"Trevor","email":"tirons@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":467443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steele, Gregory V. gvsteele@usgs.gov","contributorId":783,"corporation":false,"usgs":true,"family":"Steele","given":"Gregory","email":"gvsteele@usgs.gov","middleInitial":"V.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abraham, Jared D.","contributorId":42630,"corporation":false,"usgs":true,"family":"Abraham","given":"Jared D.","affiliations":[],"preferred":false,"id":467445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cannia, James C.","contributorId":94356,"corporation":false,"usgs":true,"family":"Cannia","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":467446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woodward, Duane D.","contributorId":39628,"corporation":false,"usgs":true,"family":"Woodward","given":"Duane","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":467444,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70040023,"text":"ds709C - 2012 - Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Haji-Gak mineral district in Afghanistan: Chapter C in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan","interactions":[],"lastModifiedDate":"2013-02-01T11:13:40","indexId":"ds709C","displayToPublicDate":"2012-09-24T00:00:00","publicationYear":"2012","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":"709","chapter":"C","title":"Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Haji-Gak mineral district in Afghanistan: Chapter C in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations, prepared databases for mineral-resource target areas in Afghanistan. The purpose of the databases is to (1) provide useful data to ground-survey crews for use in performing detailed assessments of the areas and (2) provide useful information to private investors who are considering investment in a particular area for development of its natural resources. The set of satellite-image mosaics provided in this Data Series (DS) is one such database. Although airborne digital color-infrared imagery was acquired for parts of Afghanistan in 2006, the image data have radiometric variations that preclude their use in creating a consistent image mosaic for geologic analysis. Consequently, image mosaics were created using ALOS (Advanced Land Observation Satellite; renamed Daichi) satellite images, whose radiometry has been well determined (Saunier, 2007a,b). This part of the DS consists of the locally enhanced ALOS image mosaics for the Haji-Gak mineral district, which has iron ore deposits. ALOS was launched on January 24, 2006, and provides multispectral images from the AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor in blue (420-500 nanometer, nm), green (520-600 nm), red (610-690 nm), and near-infrared (760-890 nm) wavelength bands with an 8-bit dynamic range and a 10-meter (m) ground resolution. The satellite also provides a panchromatic band image from the PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) sensor (520-770 nm) with the same dynamic range but a 2.5-m ground resolution. The image products in this DS incorporate copyrighted data provided by the Japan Aerospace Exploration Agency ((c)JAXA,2006,2007), but the image processing has altered the original pixel structure and all image values of the JAXA ALOS data, such that original image values cannot be recreated from this DS. As such, the DS products match JAXA criteria for value added products, which are not copyrighted, according to the ALOS end-user license agreement. The selection criteria for the satellite imagery used in our mosaics were images having (1) the highest solar-elevation angles (near summer solstice) and (2) the least cloud, cloud-shadow, and snow cover. The multispectral and panchromatic data were orthorectified with ALOS satellite ephemeris data, a process which is not as accurate as orthorectification using digital elevation models (DEMs); however, the ALOS processing center did not have a precise DEM. As a result, the multispectral and panchromatic image pairs were generally not well registered to the surface and not coregistered well enough to perform resolution enhancement on the multispectral data. For this particular area, PRISM image orthorectification was performed by the Alaska Satellite Facility, applying its photogrammetric software to PRISM stereo images with vertical control points obtained from the digital elevation database produced by the Shuttle Radar Topography Mission (Farr and others, 2007) and horizontal adjustments based on a controlled Landsat image base (Davis, 2006). The 10-m AVNIR multispectral imagery was then co-registered to the orthorectified PRISM images and individual multispectral and panchromatic images were mosaicked into single images of the entire area of interest. The image-coregistration was facilitated using an automated control-point algorithm developed by the USGS that allows image coregistration to within one picture element. Before rectification, the multispectral and panchromatic images were converted to radiance values and then to relative-reflectance values using the methods described in Davis (2006). Mosaicking the multispectral or panchromatic images started with the image with the highest sun-elevation angle and the least atmospheric scattering, which was treated as the standard image. The band-reflectance values of all other multispectral or panchromatic images within the area were sequentially adjusted to that of the standard image by determining band-reflectance correspondence between overlapping images using linear least-squares analysis. The resolution of the multispectral image mosaic was then increased to that of the panchromatic image mosaic using the SPARKLE logic, which is described in Davis (2006). Each of the four-band images within the resolution-enhanced image mosaic was individually subjected to a local-area histogram stretch algorithm (described in Davis, 2007), which stretches each band's picture element based on the digital values of all picture elements within a 500-m radius. The final databases, which are provided in this DS, are three-band, color-composite images of the local-area-enhanced, natural-color data (the blue, green, and red wavelength bands) and color-infrared data (the green, red, and near-infrared wavelength bands). All image data were initially projected and maintained in Universal Transverse Mercator (UTM) map projection using the target area's local zone (42 for Haji-Gak) and the WGS84 datum. The final image mosaics were subdivided into three overlapping tiles or quadrants because of the large size of the target area. The three image tiles (or quadrants) for the Haji-Gak area are provided as embedded geotiff images, which can be read and used by most geographic information system (GIS) and image-processing software. The tiff world files (tfw) are provided, even though they are generally not needed for most software to read an embedded geotiff image. Within the Haji-Gak study area, three subareas were designated for detailed field investigations (that is, the Haji-Gak Prospect, Farenjal, and NE Haji-Gak subareas); these subareas were extracted from the area's image mosaic and are provided as separate embedded geotiff images.","largerWorkTitle":"Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan (DS 709)","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds709C","collaboration":"Prepared in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations and the Afghanistan Geological Survey. This report is Chapter C in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan. For more information, see: DS 709.","usgsCitation":"Davis, P.A., Cagney, L.E., Arko, S.A., and Harbin, M., 2012, Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Haji-Gak mineral district in Afghanistan: Chapter C in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan: U.S. Geological Survey Data Series 709, Readme; 3 Maps: 11 x 8.5 inches and 50.51 x 34.26 inches; 12 Image Files; 12 Metadata Files; Shapefiles; DS 709, https://doi.org/10.3133/ds709C.","productDescription":"Readme; 3 Maps: 11 x 8.5 inches and 50.51 x 34.26 inches; 12 Image Files; 12 Metadata Files; Shapefiles; DS 709","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":262047,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_709_C.jpg"},{"id":262265,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/c/index_maps/Haji-Gak_Image_Index_Map.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262266,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/c/index_maps/Haji-Gak_Subarea_Image_Index_Map.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262264,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/c/index_maps/Haji-Gak_Area-of-Interest_Index_Map.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262040,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/709/c/","linkFileType":{"id":5,"text":"html"}},{"id":263628,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/709/"},{"id":263629,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/709/c/image_files/image_files.html"},{"id":263626,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/709/c/metadata/metadata.html"},{"id":263627,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/c/shapefiles/shapefiles.html"},{"id":263625,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/709/c/1_readme.txt"}],"country":"Afghanistan","state":"Bamyan;Parwan;Wardak","otherGeospatial":"Haji-gak Mineral District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 67.75,34.5 ], [ 67.75,35.166667 ], [ 68.916667,35.166667 ], [ 68.916667,34.5 ], [ 67.75,34.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50788e1ce4b0cfc2d59f5ad8","contributors":{"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":467492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cagney, Laura E. 0000-0003-3282-2458 lcagney@usgs.gov","orcid":"https://orcid.org/0000-0003-3282-2458","contributorId":4744,"corporation":false,"usgs":true,"family":"Cagney","given":"Laura","email":"lcagney@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":467493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arko, Scott A.","contributorId":101929,"corporation":false,"usgs":true,"family":"Arko","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":467495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harbin, Michelle L.","contributorId":20590,"corporation":false,"usgs":true,"family":"Harbin","given":"Michelle L.","affiliations":[],"preferred":false,"id":467494,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176469,"text":"70176469 - 2012 - Storm-induced inner-continental shelf circulation and sediment transport: Long Bay, South Carolina","interactions":[],"lastModifiedDate":"2016-10-13T15:51:55","indexId":"70176469","displayToPublicDate":"2012-09-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Storm-induced inner-continental shelf circulation and sediment transport: Long Bay, South Carolina","docAbstract":"Long Bay is a sediment-starved, arcuate embayment located along the US East Coast connecting both South and North Carolina. In this region the rates and pathways of sediment transport are important because they determine the availability of sediments for beach nourishment, seafloor habitat, and navigation. The impact of storms on sediment transport magnitude and direction were investigated during the period October 2003–April 2004 using bottom mounted flow meters, acoustic backscatter sensors and rotary sonars deployed at eight sites offshore of Myrtle Beach, SC, to measure currents, water levels, surface waves, salinity, temperature, suspended sediment concentrations, and bedform morphology. Measurements identify that sediment mobility is caused by waves and wind driven currents from three predominant types of storm patterns that pass through this region: (1) cold fronts, (2) warm fronts and (3) low-pressure storms. The passage of a cold front is accompanied by a rapid change in wind direction from primarily northeastward to southwestward. The passage of a warm front is accompanied by an opposite change in wind direction from mainly southwestward to northeastward. Low-pressure systems passing offshore are accompanied by a change in wind direction from southwestward to southeastward as the offshore storm moves from south to north.
During the passage of cold fronts more sediment is transported when winds are northeastward and directed onshore than when the winds are directed offshore, creating a net sediment flux to the north–east. Likewise, even though the warm front has an opposite wind pattern, net sediment flux is typically to the north–east due to the larger fetch when the winds are northeastward and directed onshore. During the passage of low-pressure systems strong winds, waves, and currents to the south are sustained creating a net sediment flux southwestward. During the 3-month deployment a total of 8 cold fronts, 10 warm fronts, and 10 low-pressure systems drove a net sediment flux southwestward. Analysis of a 12-year data record from a local buoy shows an average of 41 cold fronts, 32 warm fronts, and 26 low-pressure systems per year. The culmination of these events would yield a cumulative net inner-continental shelf transport to the south–west, a trend that is further verified by sediment textural analysis and bedform morphology on the inner-continental shelf.
","language":"English","publisher":"Elsevier","publisherLocation":"Oxford","doi":"10.1016/j.csr.2012.05.001","usgsCitation":"Warner, J., Armstrong, B.N., Sylvester, C.S., Voulgaris, G., Nelson, T., Schwab, W.C., and Denny, J.F., 2012, Storm-induced inner-continental shelf circulation and sediment transport: Long Bay, South Carolina: Continental Shelf Research, v. 42, no. 1, p. 51-63, https://doi.org/10.1016/j.csr.2012.05.001.","startPage":"51","endPage":"63","numberOfPages":"9","ipdsId":"IP-034489","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474350,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5299","text":"External Repository"},{"id":328680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Long Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.5,\n 34\n ],\n [\n -78.5,\n 33.15\n ],\n [\n -79.35,\n 33.15\n ],\n [\n -79.35,\n 34\n ],\n [\n -78.5,\n 34\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f3c1e4b0bc0bec0a0b6d","contributors":{"authors":[{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Armstrong, Brandy N. barmstrong@usgs.gov","contributorId":138581,"corporation":false,"usgs":true,"family":"Armstrong","given":"Brandy","email":"barmstrong@usgs.gov","middleInitial":"N.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":648853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sylvester, Charlene S.","contributorId":174638,"corporation":false,"usgs":true,"family":"Sylvester","given":"Charlene","email":"","middleInitial":"S.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":648854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voulgaris, George","contributorId":26377,"corporation":false,"usgs":false,"family":"Voulgaris","given":"George","email":"","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":648855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Tim","contributorId":174639,"corporation":false,"usgs":false,"family":"Nelson","given":"Tim","email":"","affiliations":[],"preferred":false,"id":648856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648857,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Denny, Jane F. 0000-0002-3472-618X jdenny@usgs.gov","orcid":"https://orcid.org/0000-0002-3472-618X","contributorId":418,"corporation":false,"usgs":true,"family":"Denny","given":"Jane","email":"jdenny@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648858,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70039996,"text":"sir20125084 - 2012 - Comparison of no-purge and pumped sampling methods for monitoring concentrations of ordnance-related compounds in groundwater, Camp Edwards, Massachusetts Military Reservation, Cape Cod, Massachusetts, 2009-2010","interactions":[],"lastModifiedDate":"2012-10-03T17:16:15","indexId":"sir20125084","displayToPublicDate":"2012-09-21T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5084","title":"Comparison of no-purge and pumped sampling methods for monitoring concentrations of ordnance-related compounds in groundwater, Camp Edwards, Massachusetts Military Reservation, Cape Cod, Massachusetts, 2009-2010","docAbstract":"Field tests were conducted near the Impact Area at Camp Edwards on the Massachusetts Military Reservation, Cape Cod, Massachusetts, to determine the utility of no-purge groundwater sampling for monitoring concentrations of ordnance-related explosive compounds and perchlorate in the sand and gravel aquifer. The no-purge methods included (1) a diffusion sampler constructed of rigid porous polyethylene, (2) a diffusion sampler constructed of regenerated-cellulose membrane, and (3) a tubular grab sampler (bailer) constructed of polyethylene film. In samples from 36 monitoring wells, concentrations of perchlorate (ClO4-), hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX), and octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine (HMX), the major contaminants of concern in the Impact Area, in the no-purge samples were compared to concentrations of these compounds in samples collected by low-flow pumped sampling with dedicated bladder pumps. The monitoring wells are constructed of 2- and 2.5-inch-diameter polyvinyl chloride pipe and have approximately 5- to 10-foot-long slotted screens. The no-purge samplers were left in place for 13-64 days to ensure that ambient groundwater flow had flushed the well screen and concentrations in the screen represented water in the adjacent formation. The sampling methods were compared first in six monitoring wells. Concentrations of ClO4-, RDX, and HMX in water samples collected by the three no-purge sampling methods and low-flow pumped sampling were in close agreement for all six monitoring wells. There is no evidence of a systematic bias in the concentration differences among the methods on the basis of type of sampling device, type of contaminant, or order in which the no-purge samplers were tested. A subsequent examination of vertical variations in concentrations of ClO4- in the 10-foot-long screens of six wells by using rigid porous polyethylene diffusion samplers indicated that concentrations in a given well varied by less than 15 percent and the small variations were unlikely to affect the utility of the various sampling methods. The grab sampler was selected for additional tests in 29 of the 36 monitoring wells used during the study. Concentrations of ClO4-, RDX, HMX, and other minor explosive compounds in water samples collected by using a 1-liter grab sampler and low-flow pumped sampling were in close agreement in field tests in the 29 wells. A statistical analysis based on the sign test indicated that there was no bias in the concentration differences between the methods. There also was no evidence for a systematic bias in concentration differences between the methods related to location of the monitoring wells laterally or vertically in the groundwater-flow system. Field tests in five wells also demonstrated that sample collection by using a 2-liter grab sampler and sequential bailing with the 1-liter grab sampler were options for obtaining sufficient sample volume for replicate and spiked quality assurance and control samples. The evidence from the field tests supports the conclusion that diffusion sampling with the rigid porous polyethylene and regenerated-cellulose membranes and grab sampling with the polyethylene-film samplers provide comparable data on the concentrations of ordnance-related compounds in groundwater at the MMR to that obtained by low-flow pumped sampling. These sampling methods are useful methods for monitoring these compounds at the MMR and in similar hydrogeologic environments.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125084","collaboration":"Prepared in cooperation with the Army National Guard, Toxic Substances Hydrology Program","usgsCitation":"Savoie, J., and LeBlanc, D.R., 2012, Comparison of no-purge and pumped sampling methods for monitoring concentrations of ordnance-related compounds in groundwater, Camp Edwards, Massachusetts Military Reservation, Cape Cod, Massachusetts, 2009-2010: U.S. Geological Survey Scientific Investigations Report 2012-5084, viii; 23 p., https://doi.org/10.3133/sir20125084.","productDescription":"viii; 23 p.","numberOfPages":"36","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":262015,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5084.png"},{"id":262005,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5084/","linkFileType":{"id":5,"text":"html"}},{"id":262006,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5084/pdf/sir2012-5084_report_508_rev092012.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"5000","projection":"2003 Massachusetts state plane projection","datum":"North American datum 1983","country":"United States","state":"Massachusetts","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.56666666666666,41.666666666666664 ], [ -70.56666666666666,41.766666666666666 ], [ -70.5,41.766666666666666 ], [ -70.5,41.666666666666664 ], [ -70.56666666666666,41.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505d7e5ee4b0ea5c818244e0","contributors":{"authors":[{"text":"Savoie, Jennifer G.","contributorId":52218,"corporation":false,"usgs":true,"family":"Savoie","given":"Jennifer G.","affiliations":[],"preferred":false,"id":467406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467405,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70040001,"text":"sim3230 - 2012 - Water-level altitudes 2012 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973-2011 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas","interactions":[],"lastModifiedDate":"2017-03-29T16:52:57","indexId":"sim3230","displayToPublicDate":"2012-09-21T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3230","title":"Water-level altitudes 2012 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973-2011 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas","docAbstract":"Most of the subsidence in the Houston–Galveston region, Texas, has occurred as a direct result of groundwater withdrawals for municipal supply, commercial and industrial use, and irrigation that depressured and dewatered the Chicot and Evangeline aquifers and caused compaction of the clay layers of the aquifer sediments. This report—prepared by the U.S. Geological Survey in cooperation with the Harris– Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District—is one in an annual series of reports depicting water-level altitudes and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction in the Chicot and Evangeline aquifers in the Houston–Galveston region. The report contains maps showing approximate water-level altitudes for 2012 (calculated from measurements of water levels in wells made during December 2011–February 2012) for the Chicot, Evangeline, and Jasper aquifers; maps showing 1-year (2011–12) water-level-altitude changes for each aquifer; maps showing 5-year (2007–12) water-levelaltitude changes for each aquifer; maps showing long-term (1990–2012 and 1977–2012) water-level-altitude changes for the Chicot and Evangeline aquifers; a map showing long-term (2000–12) water-level-altitude change for the Jasper aquifer; a map showing locations of borehole extensometer sites; and graphs showing measured compaction of subsurface sediments at the extensometers from 1973 (or later) through 2011. Tables listing the data that were used to construct each water-level map for each aquifer and the cumulative compaction graphs are included.
\nIn 2012, water-level-altitude contours for the Chicot aquifer ranged from 250 feet (ft) below North American Vertical Datum of 1988 (hereinafter, datum) in a small area in southwestern Harris County to 200 ft above datum in westerncentral Montgomery County. Water-level-altitude changes during 2012 in the Chicot aquifer ranged from a 48-ft decline to an 18-ft rise. Contoured 5-year and long-term changes in water-level altitudes in the Chicot aquifer ranged from a 60-ft decline to a 40-ft rise (2007–12), from a 100-ft decline to an 80-ft rise (1990–2012), and from a 100-ft decline to a 200-ft rise (1977–2012). In 2012, water-level-altitude contours for the Evangeline aquifer ranged from 300 ft below datum in isolated areas located in south-central Montgomery County and north-central Harris County, in southwest Harris County, and in northeastern Fort Bend County to 200 ft above datum near the county boundary intersection of Waller, Montgomery, and Grimes Counties. Water-level-altitude changes for 2012 in the Evangeline aquifer ranged from a 90-ft decline to a 39-ft rise. Contoured 5-year and long-term changes in waterlevel altitudes in the Evangeline aquifer ranged from an 80-ft decline to an 80-ft rise (2007–12), from a 220-ft decline to a 220-ft rise (1990–2012), and from a 360-ft decline to a 260-ft rise (1977–2012). In 2012, water-level-altitude contours for the Jasper aquifer ranged from 250 ft below datum in south-central Montgomery County to 250 ft above datum in northwest Montgomery County. Water-level-altitude changes for 2012 in the Jasper aquifer ranged from a 74-ft decline to a 4-ft rise. Contoured changes in water-level altitudes in the Jasper aquifer ranged from a 120-ft decline to no change (2007–12), and from a 220-ft decline to no change (2000–12).
\nCompaction of subsurface sediments (mostly in the clay layers) composing the Chicot and Evangeline aquifers was recorded continuously at 13 borehole extensometers at 11 sites. For the period of record beginning in 1973 (or later) and ending in December 2011, cumulative compaction data collected from the 13 extensometers ranged from 0.102 ft at the Texas City–Moses Lake site to 3.621 ft at the Addicks site. The rate of compaction varies from site to site because of differences in groundwater withdrawals near each site and differences among sites in the clay-to-sand ratio in the subsurface sediments. Therefore, it is not possible to extrapolate or infer a rate of compaction for adjacent areas on the basis of the rate of compaction measured at a nearby extensometer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3230","collaboration":"Prepared in cooperation with the Harris–Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District","usgsCitation":"Kasmarek, M.C., Johnson, M., and Ramage, J.K., 2012, Water-level altitudes 2012 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973-2011 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas: U.S. Geological Survey Scientific Investigations Map 3230, Document: vii, 18 p.; Appendix; Companion Files, https://doi.org/10.3133/sim3230.","productDescription":"Document: vii, 18 p.; Appendix; Companion Files","numberOfPages":"30","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1973-01-01","temporalEnd":"2012-02-29","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":262021,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3230.gif"},{"id":262017,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3230/","linkFileType":{"id":5,"text":"html"}},{"id":262019,"rank":9999,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3230/downloads/tables/tables.htm","linkFileType":{"id":5,"text":"html"}},{"id":262018,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3230/pdf/sim3230.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262020,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sim/3230/downloads/appendix/appendix.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","city":"Galveston, Houston","otherGeospatial":"Chicot Aquifer, Evangeline Aquifer, Jasper Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.3505859375,\n 29.554345125748267\n ],\n [\n -94.52636718749999,\n 30.031055426540206\n ],\n [\n -94.7021484375,\n 30.29701788337205\n ],\n [\n -94.976806640625,\n 30.675715404167743\n ],\n [\n -95.07568359375,\n 30.829139422013956\n ],\n [\n -95.25970458984374,\n 30.954057859276126\n ],\n [\n -95.614013671875,\n 30.95876857077987\n ],\n [\n -96.064453125,\n 30.798474179567823\n ],\n [\n -96.2841796875,\n 30.64027517241868\n ],\n [\n -96.3446044921875,\n 30.462879341709886\n ],\n [\n -96.2237548828125,\n 30.073847754270204\n ],\n [\n -96.03149414062499,\n 29.410890376109\n ],\n [\n -95.82275390625,\n 29.080175989623203\n ],\n [\n -95.6304931640625,\n 28.9072060763367\n ],\n [\n -95.3558349609375,\n 28.8831596093235\n ],\n [\n -94.7515869140625,\n 29.291189838184863\n ],\n [\n -94.3505859375,\n 29.554345125748267\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505d7e6be4b0ea5c818244f2","contributors":{"authors":[{"text":"Kasmarek, Mark C. 0000-0003-2808-2506 mckasmar@usgs.gov","orcid":"https://orcid.org/0000-0003-2808-2506","contributorId":1968,"corporation":false,"usgs":true,"family":"Kasmarek","given":"Mark","email":"mckasmar@usgs.gov","middleInitial":"C.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":467429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramage, Jason K. 0000-0001-8014-2874 jkramage@usgs.gov","orcid":"https://orcid.org/0000-0001-8014-2874","contributorId":3856,"corporation":false,"usgs":true,"family":"Ramage","given":"Jason","email":"jkramage@usgs.gov","middleInitial":"K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467431,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70039979,"text":"70039979 - 2012 - Movement of water infiltrated from a recharge basin to wells","interactions":[],"lastModifiedDate":"2012-09-20T17:16:39","indexId":"70039979","displayToPublicDate":"2012-09-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Movement of water infiltrated from a recharge basin to wells","docAbstract":"Local surface water and stormflow were infiltrated intermittently from a 40-ha basin between September 2003 and September 2007 to determine the feasibility of recharging alluvial aquifers pumped for public supply, near Stockton, California. Infiltration of water produced a pressure response that propagated through unconsolidated alluvial-fan deposits to 125 m below land surface (bls) in 5 d and through deeper, more consolidated alluvial deposits to 194 m bls in 25 d, resulting in increased water levels in nearby monitoring wells. The top of the saturated zone near the basin fluctuates seasonally from depths of about 15 to 20 m. Since the start of recharge, water infiltrated from the basin has reached depths as great as 165 m bls. On the basis of sulfur hexafluoride tracer test data, basin water moved downward through the saturated alluvial deposits until reaching more permeable zones about 110 m bls. Once reaching these permeable zones, water moved rapidly to nearby pumping wells at rates as high as 13 m/d. Flow to wells through highly permeable material was confirmed on the basis of flowmeter logging, and simulated numerically using a two-dimensional radial groundwater flow model. Arsenic concentrations increased slightly as a result of recharge from 2 to 6 μg/L immediately below the basin. Although few water-quality issues were identified during sample collection, high groundwater velocities and short travel times to nearby wells may have implications for groundwater management at this and at other sites in heterogeneous alluvial aquifers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1745-6584.2011.00838.x","usgsCitation":"O'Leary, D., Izbicki, J., Moran, J.E., Meeth, T., Nakagawa, B., Metzger, L., Bonds, C., and Singleton, M.J., 2012, Movement of water infiltrated from a recharge basin to wells: Ground Water, v. 50, no. 2, p. 242-255, https://doi.org/10.1111/j.1745-6584.2011.00838.x.","productDescription":"13 p.","startPage":"242","endPage":"255","numberOfPages":"14","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":261989,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261988,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2011.00838.x","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","city":"Stockton","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,37.5 ], [ -121.5,38.5 ], [ -120.5,38.5 ], [ -120.5,37.5 ], [ -121.5,37.5 ] ] ] } } ] }","volume":"50","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-07-08","publicationStatus":"PW","scienceBaseUri":"505c6c2fe4b046a25ba343c2","contributors":{"authors":[{"text":"O'Leary, David R. 0000-0001-9888-1739","orcid":"https://orcid.org/0000-0001-9888-1739","contributorId":9902,"corporation":false,"usgs":true,"family":"O'Leary","given":"David R.","affiliations":[],"preferred":false,"id":467362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":1375,"corporation":false,"usgs":true,"family":"Izbicki","given":"John A.","email":"jaizbick@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":467361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, Jean E.","contributorId":96525,"corporation":false,"usgs":true,"family":"Moran","given":"Jean","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":467368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meeth, Tanya","contributorId":16262,"corporation":false,"usgs":true,"family":"Meeth","given":"Tanya","email":"","affiliations":[],"preferred":false,"id":467363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nakagawa, Brandon","contributorId":54451,"corporation":false,"usgs":true,"family":"Nakagawa","given":"Brandon","email":"","affiliations":[],"preferred":false,"id":467366,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Metzger, Loren 0000-0003-2454-2966","orcid":"https://orcid.org/0000-0003-2454-2966","contributorId":45560,"corporation":false,"usgs":true,"family":"Metzger","given":"Loren","affiliations":[],"preferred":false,"id":467365,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bonds, Chris","contributorId":96131,"corporation":false,"usgs":true,"family":"Bonds","given":"Chris","email":"","affiliations":[],"preferred":false,"id":467367,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Singleton, Michael J.","contributorId":44400,"corporation":false,"usgs":true,"family":"Singleton","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467364,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}