The potential effects of chemicals in rivers and streams on human health or the ecology have long been a source of concern to water managers. Chemicals in rivers may result from natural or anthropogenic sources (such as industrial or residential practices) which are commonly associated with urbanized watersheds. The U.S. Geological Survey, in cooperation with the San Antonio Water System, examined water-quality data collected from periodic and stormflow sampling events at five sites in the upper San Antonio River Basin during 1992–98. These water-quality data were compared among sites as well as between periodic and stormflow events. The samples were collected from five continuous streamflow-gaging stations in Bexar County, Texas. Samples were analyzed for major ions, nutrients, trace elements, and organic compounds, including selected pesticides.
\nThe reported concentrations for the measured constituents varied among sites as well as between periodic and stormflow samples. Patterns for some constituents, such as nutrients, were observed; however, consistent patterns were not always observed for all analytes. For example, median concentrations for filtered ammonia, nitrate plus nitrite, organic nitrogen, and phosphorus generally were greater in periodic samples collected from the Medina and SAR Elmendorf sites as compared to samples collected from the other sites. Median concentrations of trace elements measured in periodic samples were generally less than concentrations measured in stormflow samples. In general, most of the concentrations of analyzed organic compounds were less than the laboratory reporting levels.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds738","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Banta, J., Slattery, R.N., and Crow, C.L., 2012, Surface-water quality in the upper San Antonio River Basin, Bexar County, Texas, 1992-98: U.S. Geological Survey Data Series 738, Document: iv, 60 p.; Appendixes 1-3, https://doi.org/10.3133/ds738.","productDescription":"Document: iv, 60 p.; Appendixes 1-3","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1992-01-01","temporalEnd":"1998-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":264750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_738.png"},{"id":264748,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/738/downloads/ds738_app2.xlsx","text":"Appendix 2"},{"id":264749,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/738/downloads/ds738_app3.xlsx","text":"Appendix 3"},{"id":264747,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/738/downloads/ds738_app1.xlsx","text":"Appendix 1"},{"id":264745,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/738/pdf/ds738.pdf"},{"id":264746,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/738/"}],"country":"United States","state":"Texas","county":"Bexar County","otherGeospatial":"San Antonio River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.8056,29.1104 ], [ -98.8056,29.7606 ], [ -98.1193,29.7606 ], [ -98.1193,29.1104 ], [ -98.8056,29.1104 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4eb3de4b0e8fec6ce631f","contributors":{"authors":[{"text":"Banta, J. Ryan 0000-0002-2226-7270","orcid":"https://orcid.org/0000-0002-2226-7270","contributorId":78863,"corporation":false,"usgs":true,"family":"Banta","given":"J. Ryan","affiliations":[],"preferred":false,"id":470802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slattery, Richard N. 0000-0002-9141-9776 rnslatte@usgs.gov","orcid":"https://orcid.org/0000-0002-9141-9776","contributorId":2471,"corporation":false,"usgs":true,"family":"Slattery","given":"Richard","email":"rnslatte@usgs.gov","middleInitial":"N.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crow, Cassi L. 0000-0002-1279-2485 ccrow@usgs.gov","orcid":"https://orcid.org/0000-0002-1279-2485","contributorId":1666,"corporation":false,"usgs":true,"family":"Crow","given":"Cassi","email":"ccrow@usgs.gov","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470800,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042119,"text":"ofr20121250 - 2012 - Passage probabilities of juvenile Chinook salmon through the powerhouse and regulating outlet at Cougar Dam, Oregon, 2011","interactions":[],"lastModifiedDate":"2012-12-23T15:43:26","indexId":"ofr20121250","displayToPublicDate":"2012-12-23T00:00:00","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":"2012-1250","title":"Passage probabilities of juvenile Chinook salmon through the powerhouse and regulating outlet at Cougar Dam, Oregon, 2011","docAbstract":"Cougar Dam near Springfield, Oregon, is one of several federally owned and operated flood-control projects within the Willamette Valley of western Oregon that were determined by the National Oceanic and Atmospheric Administration’s National Marine Fisheries Service in 2008 to impact the long-term viability of several salmonid stocks. In response to this ruling, the U.S. Army Corps of Engineers is looking for means to reduce impacts to salmonids, including improving downstream passage of juvenile salmonids at Cougar Dam. This study of juvenile Chinook salmon (Oncorhynchus tshawytscha) passage at Cougar Dam was conducted to inform decisions about potential improvements for downstream fish passage. The primary objective of the study was to estimate route-specific passage probabilities of yearling Chinook salmon at Cougar Dam. The study was conducted using fish from a nearby hatchery surgically implanted with radio transmitters and passive integrated transponder (PIT) tags and released near the entrance of a temperature control tower through which all water going through the dam must pass. Water passing through the temperature control tower may be routed through a penstock to a powerhouse with two Francis turbines, or to a spillway-like structure called the regulating outlet. Secondary objectives of the study were to estimate the probability that fish enter a bypass at a non-federal facility downstream, and to estimate dam-passage and in-river fish survival. Dam operating conditions during the study included an average forebay elevation of 1,580 feet (National Geodetic Vertical Datum of 1929) and an average of 48.2 percent of the total dam discharge of 1,106 cubic feet per second passing through a regulating outlet opening of 1.25 feet. Dam passage probability was greatest at night (0.8741 standard error [SE] 0.0265) and primarily through the regulating outlet (0.8896 SE 0.0617 day; 0.9417 SE 0.0175 night). The joint probability of entering the bypass at Leaburg Dam and being detected at the PIT system within the bypass was 0.0755 (SE 0.0363), but some fish were known to pass the PIT system undetected, indicating that the true probability of entering the bypass was underestimated. The estimated survival of fish passing through the temperature control tower, through the dam, and to a site at a bridge over the South Fork of the McKenzie River 3.9 kilometers downstream was 0.3680 (SE 0.1322) for fish passing through the powerhouse, and 0.4247 (SE 0.0440) for fish passing through the regulating outlet. The estimated in-river survival through the 37.3 kilometers from the bridge to a site at Leaburg Hatchery on the McKenzie River was 0.5857 (SE 0.2227) for fish that had passed through the powerhouse, and 0.4537 (SE 0.0551) for fish that had passed through the regulating outlet.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121250","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Beeman, J.W., Hansen, A.C., Evans, S.D., Haner, P.V., Hansel, H.C., and Smith, C., 2012, Passage probabilities of juvenile Chinook salmon through the powerhouse and regulating outlet at Cougar Dam, Oregon, 2011: U.S. Geological Survey Open-File Report 2012-1250, vi, 26 p.; ill. (some col.), https://doi.org/10.3133/ofr20121250.","productDescription":"vi, 26 p.; ill. 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Availability of satellite remote sensing images is limited due to repeat cycle of satellite or cloud cover. This study was conducted to determine the suitability of different methods namely cubic spline, fixed, and linear for estimating seasonal ET from temporal remotely sensed images. Mapping Evapotranspiration at high Resolution with Internalized Calibration (METRIC) model in conjunction with the wet METRIC (wMETRIC), a modified version of the METRIC model, was used to estimate ET on the days of satellite overpass using eight Landsat images during the 2001 crop growing season in Midwest USA. The model-estimated daily ET was in good agreement (R2 = 0.91) with the eddy covariance tower-measured daily ET. The standard error of daily ET was 0.6 mm (20%) at three validation sites in Nebraska, USA. There was no statistically significant difference (P > 0.05) among the cubic spline, fixed, and linear methods for computing seasonal (July–December) ET from temporal ET estimates. Overall, the cubic spline resulted in the lowest standard error of 6 mm (1.67%) for seasonal ET. However, further testing of this method for multiple years is necessary to determine its suitability.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Irrigation Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00271-011-0287-z","usgsCitation":"Singh, R.K., Liu, S., Tieszen, L.L., Suyker, A.E., and Verma, S., 2012, Estimating seasonal evapotranspiration from temporal satellite images: Irrigation Science, v. 30, no. 4, p. 303-313, https://doi.org/10.1007/s00271-011-0287-z.","productDescription":"11 p.","startPage":"303","endPage":"313","ipdsId":"IP-021931","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":264760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264759,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00271-011-0287-z"}],"volume":"30","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-04-30","publicationStatus":"PW","scienceBaseUri":"50db870de4b061270600c358","contributors":{"authors":[{"text":"Singh, Ramesh K. 0000-0002-8164-3483 rsingh@usgs.gov","orcid":"https://orcid.org/0000-0002-8164-3483","contributorId":3895,"corporation":false,"usgs":true,"family":"Singh","given":"Ramesh","email":"rsingh@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":470726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":470724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":470725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suyker, Andrew E.","contributorId":46857,"corporation":false,"usgs":true,"family":"Suyker","given":"Andrew","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":470727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Verma, Shashi B.","contributorId":76202,"corporation":false,"usgs":true,"family":"Verma","given":"Shashi B.","affiliations":[],"preferred":false,"id":470728,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70041994,"text":"70041994 - 2012 - Encroachment of oriental bittersweet into Pitcher’s thistle habitat","interactions":[],"lastModifiedDate":"2012-12-27T11:48:45","indexId":"70041994","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2821,"text":"Natural Areas Journal","active":true,"publicationSubtype":{"id":10}},"title":"Encroachment of oriental bittersweet into Pitcher’s thistle habitat","docAbstract":"Common invasive species and rare endemic species can grow and interact at the ecotone between forested and non-forested dune habitats. To investigate these interactions, a comparison of the proximity and community associates of a sympatric invasive (Celastrus orbiculatus; oriental bittersweet) and native (C. scandens; American bittersweet) liana species to federally threatened Cirsium pitcheri (Pitcher's thistle) in the dunes habitats of Lake Michigan was conducted. Overall, the density of the invasive liana species was significantly greater in proximity to C. pitcheri than the native species. On the basis of composition, the three focal species occurred in both foredune and blowout habitats. The plant communities associated with the three focal species overlapped in ordination space, but there were significant differences in composition. The ability of C. orbiculatus to rapidly grow and change the ecological dynamics of invasion sites adds an additional threat to the successional habitats of C. pitcheri.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Areas Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Natural Areas Association","publisherLocation":"Bend, OR","doi":"10.3375/043.032.0206","usgsCitation":"Leicht-Young, S.A., and Pavlovic, N.B., 2012, Encroachment of oriental bittersweet into Pitcher’s thistle habitat: Natural Areas Journal, v. 32, no. 2, p. 171-176, https://doi.org/10.3375/043.032.0206.","productDescription":"6 p.","startPage":"171","endPage":"176","numberOfPages":"6","ipdsId":"IP-029503","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":264822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264821,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3375/043.032.0206"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.91,41.60 ], [ -87.91,46.05 ], [ -84.95,46.05 ], [ -84.95,41.60 ], [ -87.91,41.60 ] ] ] } } ] }","volume":"32","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cff3e4b0a4aa5bb0aecf","contributors":{"authors":[{"text":"Leicht-Young, Stacey A.","contributorId":80506,"corporation":false,"usgs":false,"family":"Leicht-Young","given":"Stacey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470555,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70041903,"text":"70041903 - 2012 - Low prevalence of VHSV detected in round goby collected in offshore regions of Lake Ontario","interactions":[],"lastModifiedDate":"2012-12-27T11:04:14","indexId":"70041903","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Low prevalence of VHSV detected in round goby collected in offshore regions of Lake Ontario","docAbstract":"Since the first reports of mortalities due to viral hemorrhagic septicemia virus (VHSV) type IVb in the Laurentian Great Lakes basin during 2005 (Lake St. Clair, USA and Bay of Quinte, Lake Ontario, Canada), many groups have conducted surveillance efforts for the virus, primarily in nearshore areas. The round goby (Neogobius melanostomus) has been identified as a key species to target for surveillance, because they have a very high probability of infection at a given site. Our objective in this study was to document and quantify VHSV in round gobies in offshore waters of Lake Ontario using molecular techniques. We collected 139 round gobies from depths ranging from 55 to 150 m using bottom trawls during the early spring of 2011 and detected VHSV in 4 individuals (1/26 fish at 95 m, 2/12 fish at 105 m, and 1/24 fish at 135 m). These results expand the known depth range of VHSV in the Great Lakes. They also have implications on the management of the spread of VHSV within infected bodies of water related to the mixing of populations of fish that would remain distinct in their breeding habitats, but then have the opportunity to mix in their overwintering habitats, as well as to increase overlap of predator and prey species in overwintering habitats.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jglr.2012.06.008","usgsCitation":"Cornwell, E., Getchell, R.G., Groocock, G.H., Walsh, M.G., and Bowser, P., 2012, Low prevalence of VHSV detected in round goby collected in offshore regions of Lake Ontario: Journal of Great Lakes Research, v. 38, no. 3, p. 575-579, https://doi.org/10.1016/j.jglr.2012.06.008.","productDescription":"5 p.","startPage":"575","endPage":"579","numberOfPages":"5","ipdsId":"IP-038606","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":264812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264811,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2012.06.008"}],"country":"United States","otherGeospatial":"Lake Ontario","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80,0.0011111111111111111 ], [ -80,0.0011111111111111111 ], [ -76,0.0011111111111111111 ], [ -76,0.0011111111111111111 ], [ -80,0.0011111111111111111 ] ] ] } } ] }","volume":"38","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50dfa41be4b0dfbe79e6e268","contributors":{"authors":[{"text":"Cornwell, Emily R.","contributorId":64526,"corporation":false,"usgs":true,"family":"Cornwell","given":"Emily R.","affiliations":[],"preferred":false,"id":470349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Getchell, Rodman G.","contributorId":32416,"corporation":false,"usgs":true,"family":"Getchell","given":"Rodman","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":470348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groocock, Geoffrey H.","contributorId":13878,"corporation":false,"usgs":true,"family":"Groocock","given":"Geoffrey","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":470347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, Maureen G.","contributorId":92506,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":470350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bowser, Paul R.","contributorId":10391,"corporation":false,"usgs":true,"family":"Bowser","given":"Paul R.","affiliations":[],"preferred":false,"id":470346,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70041997,"text":"70041997 - 2012 - Mercury dynamics in a San Francisco estuary tidal wetland: assessing dynamics using in situ measurements","interactions":[],"lastModifiedDate":"2012-12-23T22:06:29","indexId":"70041997","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Mercury dynamics in a San Francisco estuary tidal wetland: assessing dynamics using in situ measurements","docAbstract":"We used high-resolution in situ measurements of turbidity and fluorescent dissolved organic matter (FDOM) to quantitatively estimate the tidally driven exchange of mercury (Hg) between the waters of the San Francisco estuary and Browns Island, a tidal wetland. Turbidity and FDOM—representative of particle-associated and filter-passing Hg, respectively—together predicted 94 % of the observed variability in measured total mercury concentration in unfiltered water samples (UTHg) collected during a single tidal cycle in spring, fall, and winter, 2005–2006. Continuous in situ turbidity and FDOM data spanning at least a full spring-neap period were used to generate UTHg concentration time series using this relationship, and then combined with water discharge measurements to calculate Hg fluxes in each season. Wetlands are generally considered to be sinks for sediment and associated mercury. However, during the three periods of monitoring, Browns Island wetland did not appreciably accumulate Hg. Instead, gradual tidally driven export of UTHg from the wetland offset the large episodic on-island fluxes associated with high wind events. Exports were highest during large spring tides, when ebbing waters relatively enriched in FDOM, dissolved organic carbon (DOC), and filter-passing mercury drained from the marsh into the open waters of the estuary. On-island flux of UTHg, which was largely particle-associated, was highest during strong winds coincident with flood tides. Our results demonstrate that processes driving UTHg fluxes in tidal wetlands encompass both the dissolved and particulate phases and multiple timescales, necessitating longer term monitoring to adequately quantify fluxes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s12237-012-9501-3","usgsCitation":"Bergamaschi, B., Fleck, J., Downing, B.D., Boss, E., Pellerin, B., Ganju, N., Schoellhamer, D., Byington, A.A., Heim, W.A., Stephenson, M., and Fujii, R., 2012, Mercury dynamics in a San Francisco estuary tidal wetland: assessing dynamics using in situ measurements: Estuaries and Coasts, v. 35, no. 4, p. 1036-1048, https://doi.org/10.1007/s12237-012-9501-3.","productDescription":"13 p.","startPage":"1036","endPage":"1048","ipdsId":"IP-031681","costCenters":[{"id":154,"text":"California Water 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}","volume":"35","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-04-03","publicationStatus":"PW","scienceBaseUri":"50e02c57e4b0fec3206ea99f","contributors":{"authors":[{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":73241,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","affiliations":[],"preferred":false,"id":470564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleck, Jacob A. 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":1498,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob A.","email":"jafleck@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":470560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boss, Emmanuel","contributorId":10143,"corporation":false,"usgs":true,"family":"Boss","given":"Emmanuel","affiliations":[],"preferred":false,"id":470561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pellerin, Brian A.","contributorId":58385,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[],"preferred":false,"id":470563,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":93543,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[],"preferred":false,"id":470565,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470558,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Byington, Amy A.","contributorId":107998,"corporation":false,"usgs":true,"family":"Byington","given":"Amy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470567,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Heim, Wesley A.","contributorId":103548,"corporation":false,"usgs":true,"family":"Heim","given":"Wesley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470566,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stephenson, Mark","contributorId":56951,"corporation":false,"usgs":false,"family":"Stephenson","given":"Mark","email":"","affiliations":[],"preferred":false,"id":470562,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fujii, Roger rfujii@usgs.gov","contributorId":553,"corporation":false,"usgs":true,"family":"Fujii","given":"Roger","email":"rfujii@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":470557,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70042056,"text":"70042056 - 2012 - Establishing water body areal extent trends in interior Alaska from multi-temporal Landsat data","interactions":[],"lastModifiedDate":"2012-12-23T22:41:06","indexId":"70042056","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3251,"text":"Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Establishing water body areal extent trends in interior Alaska from multi-temporal Landsat data","docAbstract":"An accurate approach is needed for monitoring, quantifying and understanding surface water variability due to climate change. Separating inter- and intra-annual variances from longer-term shifts in surface water extents due to contemporary climate warming requires repeat measurements spanning a several-decade period. Here, we show that trends developed from multi-date measurements of the extents of more than 15,000 water bodies in central Alaska using Landsat Multispectral Scanner (MSS), Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data (1979–2009) were highly influenced by the quantity and timing of the data. Over the 30-year period from 1979 to 2009, the study area had a net decrease (p < 0.05) in the extents of 3.4% of water bodies whereas 86% of water bodies exhibited no significant change. The Landsat-derived dataset provides an opportunity for additional research assessing the drivers of lake and wetland change in this region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/01431161.2011.643507","usgsCitation":"Rover, J.R., Ji, L., Wylie, B.K., and Tieszen, L.L., 2012, Establishing water body areal extent trends in interior Alaska from multi-temporal Landsat data: Remote Sensing Letters, v. 3, no. 7, p. 595-604, https://doi.org/10.1080/01431161.2011.643507.","productDescription":"10 p.","startPage":"595","endPage":"604","ipdsId":"IP-030841","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":264761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264708,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2011.643507"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"3","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-12-22","publicationStatus":"PW","scienceBaseUri":"50db7523e4b061270600ba7b","contributors":{"authors":[{"text":"Rover, Jennifer R. 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":2941,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":470695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":470694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":470692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":470693,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042020,"text":"70042020 - 2012 - Glaciotectonic deformation associated with the Orient Point-Fishers Island moraine, westernmost Block Island Sound: further evidence of readvance of the Laurentide ice sheet","interactions":[],"lastModifiedDate":"2012-12-23T22:21:11","indexId":"70042020","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1742,"text":"Geo-Marine Letters","active":true,"publicationSubtype":{"id":10}},"title":"Glaciotectonic deformation associated with the Orient Point-Fishers Island moraine, westernmost Block Island Sound: further evidence of readvance of the Laurentide ice sheet","docAbstract":"High-resolution seismic-reflection profiles collected across pro-glacial outwash deposits adjacent to the circa 18 ka b.p. Orient Point–Fishers Island end moraine segment in westernmost Block Island Sound reveal extensive deformation. A rhythmic seismic facies indicates the host outwash deposits are composed of fine-grained glaciolacustrine sediments. The deformation is variably brittle and ductile, but predominantly compressive in nature. Brittle deformation includes reverse faults and thrust faults that strike parallel to the moraine, and thrust sheets that extend from beneath the moraine. Ductile deformation includes folded sediments that overlie undisturbed deposits, showing that they are not drape features. Other seismic evidence for compression along the ice front consists of undisturbed glaciolacustrine strata that dip back toward and underneath the moraine, and angular unconformities on the sea floor where deformed sediments extend above the surrounding undisturbed correlative strata. Together, these ice-marginal glaciotectonic features indicate that the Orient Point–Fishers Island moraine marks a significant readvance of the Laurentide ice sheet, consistent with existing knowledge for neighboring coeval moraines, and not simply a stillstand as previously reported.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geo-Marine Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00367-012-0296-9","usgsCitation":"Poppe, L., Oldale, R.N., Foster, D.S., and Smith, S.M., 2012, Glaciotectonic deformation associated with the Orient Point-Fishers Island moraine, westernmost Block Island Sound: further evidence of readvance of the Laurentide ice sheet: Geo-Marine Letters, v. 32, no. 4, p. 279-288, https://doi.org/10.1007/s00367-012-0296-9.","productDescription":"10 p.","startPage":"279","endPage":"288","ipdsId":"IP-033644","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474194,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5355","text":"External Repository"},{"id":264758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264757,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00367-012-0296-9"}],"country":"United States","state":"New York","otherGeospatial":"Orient Point;Fishers Island;Block Island Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.038074,41.249508 ], [ -72.038074,41.292172 ], [ -71.92222,41.292172 ], [ -71.92222,41.249508 ], [ -72.038074,41.249508 ] ] ] } } ] }","volume":"32","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-06-29","publicationStatus":"PW","scienceBaseUri":"50de3086e4b0e31bb0296596","contributors":{"authors":[{"text":"Poppe, Lawrence J. lpoppe@usgs.gov","contributorId":2149,"corporation":false,"usgs":true,"family":"Poppe","given":"Lawrence J.","email":"lpoppe@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":470619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oldale, Robert N.","contributorId":38953,"corporation":false,"usgs":true,"family":"Oldale","given":"Robert","email":"","middleInitial":"N.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":470620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, David S. 0000-0003-1205-0884 dfoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0884","contributorId":1320,"corporation":false,"usgs":true,"family":"Foster","given":"David","email":"dfoster@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":470618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Shepard M.","contributorId":104792,"corporation":false,"usgs":true,"family":"Smith","given":"Shepard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":470621,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042069,"text":"70042069 - 2012 - Novel approach for computing photosynthetically active radiation for productivity modeling using remotely sensed images in the Great Plains, United States","interactions":[],"lastModifiedDate":"2012-12-23T17:11:14","indexId":"70042069","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2172,"text":"Journal of Applied Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Novel approach for computing photosynthetically active radiation for productivity modeling using remotely sensed images in the Great Plains, United States","docAbstract":"Gross primary production (GPP) is a key indicator of ecosystem performance, and helps in many decision-making processes related to environment. We used the Eddy covariancelight use efficiency (EC-LUE) model for estimating GPP in the Great Plains, United States in order to evaluate the performance of this model. We developed a novel algorithm for computing the photosynthetically active radiation (PAR) based on net radiation. A strong correlation (R2=0.94,N=24) was found between daily PAR and Landsat-based mid-day instantaneous net radiation. Though the Moderate Resolution Spectroradiometer (MODIS) based instantaneous net radiation was in better agreement (R2=0.98,N=24) with the daily measured PAR, there was no statistical significant difference between Landsat based PAR and MODIS based PAR. The EC-LUE model validation also confirms the need to consider biological attributes (C3 versus C4 plants) for potential light use efficiency. A universal potential light use efficiency is unable to capture the spatial variation of GPP. It is necessary to use C3 versus C4 based land use/land cover map for using EC-LUE model for estimating spatiotemporal distribution of GPP.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SPIE","publisherLocation":"Bellingham, WA","doi":"10.1117/1.JRS.6.063522","usgsCitation":"Singh, R.K., Liu, S., Tieszen, L.L., Suyker, A.E., and Verma, S., 2012, Novel approach for computing photosynthetically active radiation for productivity modeling using remotely sensed images in the Great Plains, United States: Journal of Applied Remote Sensing, v. 6, no. 1, 063522, https://doi.org/10.1117/1.JRS.6.063522.","productDescription":"063522","ipdsId":"IP-029748","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":264754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264753,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/1.JRS.6.063522"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"6","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e0af02e4b0fec3206ef6a3","contributors":{"authors":[{"text":"Singh, Ramesh K. 0000-0002-8164-3483 rsingh@usgs.gov","orcid":"https://orcid.org/0000-0002-8164-3483","contributorId":3895,"corporation":false,"usgs":true,"family":"Singh","given":"Ramesh","email":"rsingh@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":470731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":470729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":470730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suyker, Andrew E.","contributorId":46857,"corporation":false,"usgs":true,"family":"Suyker","given":"Andrew","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":470732,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Verma, Shashi B.","contributorId":76202,"corporation":false,"usgs":true,"family":"Verma","given":"Shashi B.","affiliations":[],"preferred":false,"id":470733,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042118,"text":"ofr20121273 - 2012 - Recent strikes in South Africa’s platinum-group metal mines: effects upon world platinum-group metal supplies","interactions":[],"lastModifiedDate":"2013-09-06T15:00:07","indexId":"ofr20121273","displayToPublicDate":"2012-12-23T00:00:00","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":"2012-1273","title":"Recent strikes in South Africa’s platinum-group metal mines: effects upon world platinum-group metal supplies","docAbstract":"The recent labor disputes over wages and working conditions that have affected South Africa’s three leading platinum-group metal (PGM) producers have affected an industry already plagued by market pressures and labor unrest and raised the specter of constraints in the world’s supply of these metals. Although low demand for these metals in 2011 and 2012 helped to offset production losses of recent years, and particularly those losses caused by the strikes in 2012, a prolonged resumption of strikes could cause severe shortages of iridium, platinum, rhodium, ruthenium, and, to a lesser extent, palladium.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121273","usgsCitation":"Yager, T., Soto-Viruet, Y., and Barry, J.J., 2012, Recent strikes in South Africa’s platinum-group metal mines: effects upon world platinum-group metal supplies (Originally posted on December 21, 2012; Revised on September 6, 2013): U.S. Geological Survey Open-File Report 2012-1273, iv, 18 p., https://doi.org/10.3133/ofr20121273.","productDescription":"iv, 18 p.","startPage":"i","endPage":"18","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":264732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1273.png"},{"id":264730,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1273/"},{"id":264731,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1273/ofr2012-1273.pdf"}],"country":"South Africa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 16.46,-34.83 ], [ 16.46,-22.13 ], [ 32.89,-22.13 ], [ 32.89,-34.83 ], [ 16.46,-34.83 ] ] ] } } ] }","edition":"Originally posted on December 21, 2012; Revised on September 6, 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e49dbae4b0e8fec6cda9fb","contributors":{"authors":[{"text":"Yager, Thomas R.","contributorId":54681,"corporation":false,"usgs":true,"family":"Yager","given":"Thomas R.","affiliations":[],"preferred":false,"id":470789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soto-Viruet, Yadira ysoto-viruet@usgs.gov","contributorId":500,"corporation":false,"usgs":true,"family":"Soto-Viruet","given":"Yadira","email":"ysoto-viruet@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":470787,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barry, James J. jbarry@usgs.gov","contributorId":501,"corporation":false,"usgs":true,"family":"Barry","given":"James","email":"jbarry@usgs.gov","middleInitial":"J.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":470788,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042120,"text":"tm4F4 - 2012 - Advanced methods for modeling water-levels and estimating drawdowns with SeriesSEE, an Excel add-in","interactions":[],"lastModifiedDate":"2022-04-26T19:05:49.744279","indexId":"tm4F4","displayToPublicDate":"2012-12-23T00:00:00","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":"4-F4","title":"Advanced methods for modeling water-levels and estimating drawdowns with SeriesSEE, an Excel add-in","docAbstract":"Water-level modeling is used for multiple-well aquifer tests to reliably differentiate pumping responses from natural water-level changes in wells, or “environmental fluctuations.” Synthetic water levels are created during water-level modeling and represent the summation of multiple component fluctuations, including those caused by environmental forcing and pumping. Pumping signals are modeled by transforming step-wise pumping records into water-level changes by using superimposed Theis functions. Water-levels can be modeled robustly with this Theis-transform approach because environmental fluctuations and pumping signals are simulated simultaneously. Water-level modeling with Theis transforms has been implemented in the program SeriesSEE, which is a Microsoft® Excel add-in. Moving average, Theis, pneumatic-lag, and gamma functions transform time series of measured values into water-level model components in SeriesSEE. Earth tides and step transforms are additional computed water-level model components. Water-level models are calibrated by minimizing a sum-of-squares objective function where singular value decomposition and Tikhonov regularization stabilize results. Drawdown estimates from a water-level model are the summation of all Theis transforms minus residual differences between synthetic and measured water levels. The accuracy of drawdown estimates is limited primarily by noise in the data sets, not the Theis-transform approach. Drawdowns much smaller than environmental fluctuations have been detected across major fault structures, at distances of more than 1 mile from the pumping well, and with limited pre-pumping and recovery data at sites across the United States. In addition to water-level modeling, utilities exist in SeriesSEE for viewing, cleaning, manipulating, and analyzing time-series data.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section F: Groundwater in Book 4:Hydrologic Analysis and Interpretation","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm4F4","collaboration":"U. S. Department of Energy, National Nuclear Security Administration, Environmental Restoration Program, Underground Test Area Project","usgsCitation":"Halford, K., Garcia, C.A., Fenelon, J., and Mirus, B., 2012, Advanced methods for modeling water-levels and estimating drawdowns with SeriesSEE, an Excel add-In, (ver. 1.1, July, 2016): U.S. Geological Survey Techniques and Methods 4–F4, 28 p., https://dx.doi.org/10.3133/tm4F4.","productDescription":"Report: viii, 29 p.; Report Package; 5 Appendixes","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":399696,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98010.htm"},{"id":264743,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/AppendixE_PahuteMesaExample.zip","text":"Appendix E Pahute Mesa Example","size":"18.7","linkFileType":{"id":6,"text":"zip"}},{"id":264742,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/AppendixD_HypotheticalAquifer.zip","text":"Appendix D Hypothetical Aquifer","size":"15.1","linkFileType":{"id":6,"text":"zip"}},{"id":264741,"rank":0,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/AppendixC_Verification.zip","text":"Appendix C Verification","size":"3.2 MB","linkFileType":{"id":6,"text":"zip"}},{"id":325395,"rank":10,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/tm/tm4-F4/versionHist.txt"},{"id":264736,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm4-F4/"},{"id":264737,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/tm4-F4.pdf","text":"Report PDF","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":264738,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/Release.v1.20_T+M_SeriesSEE_Appendixes.zip","text":"Complete Report Package","size":"83.1 MB","linkFileType":{"id":6,"text":"zip"}},{"id":264740,"rank":0,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/AppendixB_Codes-SeriesSEE.v1.20.zip","text":"Appendix B Codes-Series SEE.v1.20","size":"8.1 MB","linkFileType":{"id":6,"text":"zip"}},{"id":264739,"rank":0,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/AppendixA_SeriesSEE.v.1.20.zip","text":"Appendix A Series SEE.v.1.20","size":"30.9 MB","linkFileType":{"id":6,"text":"zip"}},{"id":264744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/tm4-F4/images/coverthb.jpg"}],"edition":"Version 1.0: Originally posted December 2012; Version 1.1: July 2016","publicComments":"This report is Chapter 4 of Section F: Groundwater in Book 4:Hydrologic Analysis and Interpretation.","contact":"Director, Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Road
Carson City, Nevada 89701
http://nevada.usgs.gov/
USGS Techniques and Methods 4-F4: Advanced Methods for Modeling Water-Levels and Estimating Drawdowns with SeriesSEE, an Excel Add-In
\n","publishedDate":"2012-12-21","revisedDate":"2016-07-18","noUsgsAuthors":false,"publicationDate":"2012-12-21","publicationStatus":"PW","scienceBaseUri":"50e5cfdee4b0a4aa5bb0ae68","contributors":{"authors":[{"text":"Halford, Keith 0000-0002-7322-1846","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":74845,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","affiliations":[],"preferred":false,"id":470799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fenelon, Joe","contributorId":70266,"corporation":false,"usgs":true,"family":"Fenelon","given":"Joe","email":"","affiliations":[],"preferred":false,"id":470798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mirus, Benjamin B.","contributorId":12348,"corporation":false,"usgs":false,"family":"Mirus","given":"Benjamin","email":"","middleInitial":"B.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":470797,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042022,"text":"70042022 - 2012 - Effects of activity and energy budget balancing algorithm on laboratory performance of a fish bioenergetics model","interactions":[],"lastModifiedDate":"2012-12-27T11:28:18","indexId":"70042022","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Effects of activity and energy budget balancing algorithm on laboratory performance of a fish bioenergetics model","docAbstract":"We evaluated the performance of the Wisconsin bioenergetics model for lake trout Salvelinus namaycush that were fed ad libitum in laboratory tanks under regimes of low activity and high activity. In addition, we compared model performance under two different model algorithms: (1) balancing the lake trout energy budget on day t based on lake trout energy density on day t and (2) balancing the lake trout energy budget on day t based on lake trout energy density on day t + 1. Results indicated that the model significantly underestimated consumption for both inactive and active lake trout when algorithm 1 was used and that the degree of underestimation was similar for the two activity levels. In contrast, model performance substantially improved when using algorithm 2, as no detectable bias was found in model predictions of consumption for inactive fish and only a slight degree of overestimation was detected for active fish. The energy budget was accurately balanced by using algorithm 2 but not by using algorithm 1. Based on the results of this study, we recommend the use of algorithm 2 to estimate food consumption by fish in the field. Our study results highlight the importance of accurately accounting for changes in fish energy density when balancing the energy budget; furthermore, these results have implications for the science of evaluating fish bioenergetics model performance and for more accurate estimation of food consumption by fish in the field when fish energy density undergoes relatively rapid changes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/00028487.2012.692346","usgsCitation":"Madenjian, C.P., David, S.R., and Pothoven, S.A., 2012, Effects of activity and energy budget balancing algorithm on laboratory performance of a fish bioenergetics model: Transactions of the American Fisheries Society, v. 141, no. 5, p. 1328-1337, https://doi.org/10.1080/00028487.2012.692346.","productDescription":"10 p.","startPage":"1328","endPage":"1337","numberOfPages":"10","ipdsId":"IP-028753","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":474193,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2027.42/141002","text":"External Repository"},{"id":264816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264815,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.692346"}],"country":"United States","volume":"141","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-08-16","publicationStatus":"PW","scienceBaseUri":"50e5cff2e4b0a4aa5bb0aecb","contributors":{"authors":[{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"David, Solomon R. sdavid@usgs.gov","contributorId":92942,"corporation":false,"usgs":true,"family":"David","given":"Solomon","email":"sdavid@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":470623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470624,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042112,"text":"sir20125278 - 2012 - Groundwater levels and water-quality observations pertaining to the Austin Group, Bexar County, Texas, 2009-11","interactions":[],"lastModifiedDate":"2016-08-05T16:22:41","indexId":"sir20125278","displayToPublicDate":"2012-12-22T00:00:00","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":"2012-5278","title":"Groundwater levels and water-quality observations pertaining to the Austin Group, Bexar County, Texas, 2009-11","docAbstract":"
The U.S. Geological Survey, in cooperation with the San Antonio Water System, examined groundwater-level altitudes (groundwater levels) and water-quality data pertaining to the Austin Group in Bexar County, Texas, during 2009–11. Hydrologic data collected included daily mean groundwater levels collected at seven sites in the study area. Water-quality samples were collected at six sites in the study area and analyzed for major ions, nutrients, trace elements, organic carbon, and stable isotopes. The resulting datasets were examined for similarities between sites as well as similarities to data from the Edwards aquifer in Bexar County, Tex. Similarities in the groundwater levels between sites completed in the Austin Group and site J (State well AY-68-37-203; hereafter referred to as the “Bexar County index well”) which is completed in the Edwards aquifer might be indicative of groundwater interactions between the two hydrologic units as a result of nearby faulting or conduit flow. The groundwater levels measured at the sites in the study area exhibited varying degrees of similarity to the Bexar County index well. Groundwater levels at site A (State well AY-68-36-136) exhibited similar patterns as those at the Bexar County index well, but the hydrographs of groundwater levels were different in shape and magnitude in response to precipitation and groundwater pumping, and at times slightly offset in time. The groundwater level patterns measured at sites C, D, and E (State wells AY-68-29-513, AY-68-29-514, and AY-68-29-512, respectively) were not similar to those measured at the Bexar County index well. Groundwater levels at site F (State well AY-68-29-819) exhibited general similarities as those observed at the Bexar County index well; however, there were several periods of notable groundwater-level drawdowns at site F that were not evident at the Bexar County index well. These drawdowns were likely because of pumping from the well at site F. The groundwater levels at sites H and I (State wells AY-68-37-205 and AY-68-29-932, respectively) exhibited similar patterns as those at the Bexar County index well (coefficient of determination [R2] of 0.99 at both wells), indicating there might be some degree of hydrologic connectivity to the Edwards aquifer.
\nIn general, the water-quality data indicated that the samples were representative of a calcium carbonate dominated system. The major ion chemistry and relations between magnesium to calcium molar ratios and 87Sr/86Sr isotopic ratios of samples collected from sites H and I indicated that the groundwater from these sites was most geochemically similar to groundwater collected from site B (State well AY-68-36-134), which is representative of groundwater in the Edwards aquifer. Of the sites sampled in this study, there appears to be varying hydrologic connectivity between groundwater from wells completed in the Austin Group and the Edwards aquifer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125278","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Banta, J., and Clark, A., 2012, Groundwater levels and water-quality observations pertaining to the Austin Group, Bexar County, Texas, 2009-11: U.S. Geological Survey Scientific Investigations Report 2012-5278, Document: iv, 18 p.; Appendix, https://doi.org/10.3133/sir20125278.","productDescription":"Document: iv, 18 p.; Appendix","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-042184","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":264724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5278.png"},{"id":264722,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5278/"},{"id":264723,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5278/pdf/sir2012-5278.pdf"},{"id":264729,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5278/downloads/sir2012-5278_app.xlsx"}],"country":"United States","state":"Texas","county":"Bexar County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.8056,29.1104 ], [ -98.8056,29.7606 ], [ -98.1193,29.7606 ], [ -98.1193,29.1104 ], [ -98.8056,29.1104 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50de68d3e4b0e31bb02a2995","contributors":{"authors":[{"text":"Banta, J.R.","contributorId":26598,"corporation":false,"usgs":true,"family":"Banta","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":470782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Allan K. 0000-0003-0099-1521","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":79775,"corporation":false,"usgs":true,"family":"Clark","given":"Allan K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470783,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042113,"text":"ds740 - 2012 - Quality of surface-water runoff in selected streams in the San Antonio segment of the Edwards aquifer recharge zone, Bexar County, Texas, 1997-2012","interactions":[],"lastModifiedDate":"2016-08-05T14:30:25","indexId":"ds740","displayToPublicDate":"2012-12-22T00:00:00","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":"740","title":"Quality of surface-water runoff in selected streams in the San Antonio segment of the Edwards aquifer recharge zone, Bexar County, Texas, 1997-2012","docAbstract":"During 1997–2012, the U.S. Geological Survey, in cooperation with the San Antonio Water System, collected and analyzed water-quality constituents in surface-water runoff from five ephemeral stream sites near San Antonio in northern Bexar County, Texas. The data were collected to assess the quality of surface water that recharges the Edwards aquifer. Samples were collected from four stream basins that had small amounts of developed land at the onset of the study but were predicted to undergo substantial development over a period of several decades. Water-quality samples also were collected from a fifth stream basin located on land protected from development to provide reference data by representing undeveloped land cover. Water-quality data included pH, specific conductance, chemical oxygen demand, dissolved solids (filtered residue on evaporation in milligrams per liter, dried at 180 degrees Celsius), suspended solids, major ions, nutrients, trace metals, and pesticides. Trace metal concentration data were compared to the Texas Commission on Environmental Quality established surface water quality standards for human health protection (water and fish). Among all constituents in all samples for which criteria were available for comparison, only one sample had one constituent which exceeded the surface water criteria on one occasion. A single lead concentration (2.76 micrograms per liter) measured in a filtered water sample exceeded the surface water criteria of 1.15 micrograms per liter. The average number of pesticide detections per sample in stream basins undergoing development ranged from 1.8 to 6.0. In contrast, the average number of pesticide detections per sample in the reference stream basin was 0.6. Among all constituents examined in this study, pesticides, dissolved orthophosphate phosphorus, and dissolved total phosphorus demonstrated the largest differences between the four stream basins undergoing development and the reference stream basin with undeveloped land cover.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds740","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Opsahl, S.P., 2012, Quality of surface-water runoff in selected streams in the San Antonio segment of the Edwards aquifer recharge zone, Bexar County, Texas, 1997-2012: U.S. Geological Survey Data Series 740, Document: iv, 19 p.; Appendix, https://doi.org/10.3133/ds740.","productDescription":"Document: iv, 19 p.; Appendix","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-042333","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":264727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_740.png"},{"id":264725,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/740/"},{"id":264726,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/740/DS740.pdf"},{"id":264728,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/740/Appendixes_DS740.xlsx"}],"country":"United States","state":"Texas","county":"Bexar County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.8056,29.1104 ], [ -98.8056,29.7606 ], [ -98.1193,29.7606 ], [ -98.1193,29.1104 ], [ -98.8056,29.1104 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e49692e4b0e8fec6cd97f1","contributors":{"authors":[{"text":"Opsahl, Stephen P. 0000-0002-4774-0415 sopsahl@usgs.gov","orcid":"https://orcid.org/0000-0002-4774-0415","contributorId":4713,"corporation":false,"usgs":true,"family":"Opsahl","given":"Stephen","email":"sopsahl@usgs.gov","middleInitial":"P.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470784,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70042049,"text":"sir20105090G - 2012 - Porphyry copper assessment of the Mesozoic of East Asia: China, Vietnam, North Korea, Mongolia, and Russia: Chapter G in Global mineral resource assessment","interactions":[{"subject":{"id":70042049,"text":"sir20105090G - 2012 - Porphyry copper assessment of the Mesozoic of East Asia: China, Vietnam, North Korea, Mongolia, and Russia: Chapter G in Global mineral resource assessment","indexId":"sir20105090G","publicationYear":"2012","noYear":false,"chapter":"G","title":"Porphyry copper assessment of the Mesozoic of East Asia: China, Vietnam, North Korea, Mongolia, and Russia: Chapter G in Global mineral resource assessment"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2019-12-30T14:20:50","indexId":"sir20105090G","displayToPublicDate":"2012-12-21T00:00:00","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":"2010-5090","chapter":"G","title":"Porphyry copper assessment of the Mesozoic of East Asia: China, Vietnam, North Korea, Mongolia, and Russia: Chapter G in Global mineral resource assessment","docAbstract":"The U.S. Geological Survey (USGS) collaborated with the China Geological Survey (CGS) to conduct a mineral resource assessment of Mesozoic porphyry copper deposits in East Asia. This area hosts several very large porphyry deposits, exemplified by the Dexing deposit in eastern China that contains more than 8,000,000 metric tons of copper. In addition, large parts of the area are undergoing active exploration and are likely to contain undiscovered porphyry copper deposits.
\nThree tracts were delineated to be permissive for Mesozoic porphyry copper deposits in East Asia: the Manchuride, Coastal Pacific, and East Qinling tracts, all Jurassic through Cretaceous in age. The tracts are based on mapped and inferred subsurface distributions of igneous rocks that define areas where the occurrence of porphyry copper deposits is possible. These tracts range in area from about 170,000 to about 1,400,000 km2. Although maps at a variety of scales were used in the assessment, the final tract boundaries are intended for use at a scale of 1:1,000,000.
\nThese Mesozoic deposits in East Asia all formed in post-subduction environments, environments newly recognized as permissive for the occurrence of porphyry copper deposits. Based on the grade, tonnage, and geologic characteristics of the known deposits, two tracts, Manchuride and Coastal Pacific, were evaluated using the general (Cu-Mo-Au) porphyry copper grade and tonnage model. The East Qinling tract was evaluated using the molybdenum-rich (Cu-Mo) model. Assessment participants estimated numbers of undiscovered deposits at different levels of confidence for each permissive tract. These estimates were then combined with the selected grade and tonnage models using Monte Carlo simulation to generate quantitative probabilistic estimates of undiscovered resources. Resources in future extensions of deposits with identified resources were not specifically evaluated.
\nAssessment results, presented in tables and graphs, show mean amounts of metal and rock in undiscovered deposits at different quantile levels, as well as the arithmetic mean for each tract. This assessment estimated a mean total of about 44 undiscovered porphyry copper deposits within the assessed permissive tracts in East Asia. This represents nearly 4 times the 12 known deposits. Predicted mean (arithmetic) resources that could be associated with these undiscovered deposits are about 198,000,000 metric tons (t) of copper and about 3,900 t of gold, as well as byproduct molybdenum and silver. The reported identified resources for those 12 known deposits total about 23,000,000 t of copper and about 850 t of gold. The assessment area is estimated to contain nearly nine times as much copper in undiscovered porphyry copper deposits as has been identified to date.
\nThis report includes an overview of the assessment results and summary tables. Descriptions of each tract are included in appendixes, with estimates of numbers of undiscovered deposits, and probabilistic estimates of amounts of copper, molybdenum, gold, and silver that could be contained in undiscovered deposits for each permissive tract. A geographic information system that accompanies the report includes tract boundaries and a database of known porphyry copper deposits and prospects.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090G","collaboration":"Prepared in cooperation with the Russian Academy of Sciences, China Geological Survey, Chinese Academy of Geological Sciences, the Coordinating Committee for Geoscience Programs in East and Southeast Asia, and XDM Geological Consultants, Inc.","usgsCitation":"Ludington, S., Mihalasky, M.J., Hammarstrom, J.M., Robinson, G.R., Frost, T.P., Gans, K.D., Light, T., Miller, R.J., and Alexeiev, D.V., 2012, Porphyry copper assessment of the Mesozoic of East Asia: China, Vietnam, North Korea, Mongolia, and Russia: Chapter G in Global mineral resource assessment: U.S. Geological Survey Scientific Investigations Report 2010-5090, Report: vii, 53 p.; Appendix D; Appendix E metadata folder; Appendix E GIS data, https://doi.org/10.3133/sir20105090G.","productDescription":"Report: vii, 53 p.; Appendix D; Appendix E metadata folder; Appendix E GIS 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This creek is a major tributary to the White Salmon River upstream of Condit Dam, which was breached in October 2011. Habitat and fish populations were characterized in four stream reaches. Reach breaks were based on stream gradient, water withdrawals, and fish barriers. Buck Creek generally was confined, with a single straight channel and low sinuosity. Boulders and cobble were the dominant stream substrate, with limited gravel available for spawning. Large-cobble riffles were 83 percent of the available fish habitat. Pools, comprising 15 percent of the surface area, mostly were formed by bedrock with little instream cover and low complexity. Instream wood averaged 6—10 pieces per 100 meters, 80 percent of which was less than 50 centimeters in diameter. Water temperature in Buck Creek rarely exceeded 16 degrees Celsius and did so for only 1 day at river kilometer (rkm) 3 and 11 days at rkm 0.2 in late July and early August 2009. The maximum temperature recorded was 17.2 degrees Celsius at rkm 0.2 on August 2, 2009. Minimum summer discharge in Buck Creek was 3.3 cubic feet per second downstream of an irrigation diversion (rkm 3.1) and 7.7 cubic feet per second at its confluence with the White Salmon River. Rainbow trout (Oncorhynchus mykiss) was the dominant fish species in all reaches. The abundance of age-1 or older rainbow trout was similar between reaches. However, in 2009 and 2010, the greatest abundance of age-0 rainbow trout (8 fish per meter) was in the most downstream reach. These analyses in Buck Creek are important for understanding the factors that may limit fish abundance and productivity, and they will help identify and prioritize potential restoration actions. The data collected constitute baseline information of pre-dam removal conditions that will allow assessment of changes in fish populations now that Condit Dam has been removed and anadromous fish have an opportunity to recolonize Buck Creek.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121270","collaboration":"Prepared in cooperation with the Yakama Nation","usgsCitation":"Allen, M.B., Burkhardt, J., Munz, C., and Connolly, P., 2012, Fish population and habitat analysis in Buck Creek, Washington, prior to recolonization by anadromous salmonids after the removal of Condit Dam: U.S. Geological Survey Open-File Report 2012-1270, vi, 38 p., https://doi.org/10.3133/ofr20121270.","productDescription":"vi, 38 p.","numberOfPages":"48","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":264718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1270.jpg"},{"id":264717,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1270/pdf/ofr20121270.pdf"},{"id":264716,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1270/"}],"country":"United States","state":"Washington","otherGeospatial":"Buck Creek;Condit Dam;White Salmon River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.57,45.76 ], [ -121.57,45.85 ], [ -121.51,45.85 ], [ -121.51,45.76 ], [ -121.57,45.76 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d4cbcae4b0c6073c902059","contributors":{"authors":[{"text":"Allen, M. Brady","contributorId":18874,"corporation":false,"usgs":true,"family":"Allen","given":"M.","email":"","middleInitial":"Brady","affiliations":[],"preferred":false,"id":470736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burkhardt, Jeanette","contributorId":15496,"corporation":false,"usgs":true,"family":"Burkhardt","given":"Jeanette","email":"","affiliations":[],"preferred":false,"id":470735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munz, Carrie","contributorId":98191,"corporation":false,"usgs":true,"family":"Munz","given":"Carrie","affiliations":[],"preferred":false,"id":470737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":470734,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042044,"text":"ofr20121246 - 2012 - The Mekong Fish Network: expanding the capacity of the people and institutions of the Mekong River Basin to share information and conduct standardized fisheries monitoring","interactions":[],"lastModifiedDate":"2016-05-03T15:34:35","indexId":"ofr20121246","displayToPublicDate":"2012-12-21T00:00:00","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":"2012-1246","title":"The Mekong Fish Network: expanding the capacity of the people and institutions of the Mekong River Basin to share information and conduct standardized fisheries monitoring","docAbstract":"The Mekong River is one of the most biologically diverse rivers in the world, and it supports the most productive freshwater fisheries in the world. Millions of people in the Lower Mekong River Basin (LMB) countries of the Union of Myanmar (Burma), Lao People’s Democratic Republic, the Kingdom of Thailand, the Kingdom of Cambodia, and the Socialist Republic of Vietnam rely on the fisheries of the basin to provide a source of protein. The Mekong Fish Network Workshop was convened in Phnom Penh, Cambodia, in February 2012 to discuss the potential for coordinating fisheries monitoring among nations and the utility of establishing standard methods for short- and long-term monitoring and data sharing throughout the LMB. The concept for this network developed out of a frequently cited need for fisheries researchers in the LMB to share their knowledge with other scientists and decisionmakers. A fish monitoring network could be a valuable forum for researchers to exchange ideas, store data, or access general information regarding fisheries studies in the LMB region. At the workshop, representatives from governments, nongovernmental organizations, and universities, as well as participating foreign technical experts, cited a great need for more international cooperation and technical support among them. Given the limited staff and resources of many institutions in the LMB, the success of the proposed network would depend on whether it could offer tools that would provide benefits to network participants. A potential tool discussed at the workshop was a user-friendly, Web-accessible portal and database that could help streamline data entry and storage at the institutional level, as well as facilitate communication and data sharing among institutions. The workshop provided a consensus to establish pilot standardized data collection and database efforts that will be further reviewed by the workshop participants. Overall, workshop participants agreed that this is the type of support that is greatly needed to answer their most pressing questions and to enable local researchers and resource managers to monitor and sustain the valuable and diverse aquatic life of the Mekong River.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121246","collaboration":"Prepared in cooperation with FISHBIO","usgsCitation":"Patricio, H.C., Ainsley, S.M., Andersen, M.E., Beeman, J.W., and Hewitt, D.A., 2012, The Mekong Fish Network: expanding the capacity of the people and institutions of the Mekong River Basin to share information and conduct standardized fisheries monitoring: U.S. Geological Survey Open-File Report 2012-1246, vi, 36 p., https://doi.org/10.3133/ofr20121246.","productDescription":"vi, 36 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-02-09","temporalEnd":"2012-02-10","ipdsId":"IP-038456","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":264707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1246.gif"},{"id":264705,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1246/"},{"id":264706,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1246/ofr2012-1246.pdf","text":"Report","size":"1.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"Cambodia, Laos, Thailand, Vietnam","otherGeospatial":"Mekong River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 89.15,8.0 ], [ 89.15,33.0 ], [ 111.12,33.0 ], [ 111.12,8.0 ], [ 89.15,8.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d4967ae4b0c6073c901f59","contributors":{"authors":[{"text":"Patricio, Harmony C.","contributorId":30525,"corporation":false,"usgs":true,"family":"Patricio","given":"Harmony","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":470666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ainsley, Shaara M.","contributorId":107973,"corporation":false,"usgs":true,"family":"Ainsley","given":"Shaara","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":470667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andersen, Matthew E. 0000-0003-4115-5028 mandersen@usgs.gov","orcid":"https://orcid.org/0000-0003-4115-5028","contributorId":3190,"corporation":false,"usgs":true,"family":"Andersen","given":"Matthew","email":"mandersen@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":470664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":470663,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hewitt, David A. 0000-0002-5387-0275 dhewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-5387-0275","contributorId":3767,"corporation":false,"usgs":false,"family":"Hewitt","given":"David","email":"dhewitt@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":470665,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042046,"text":"sir20125259 - 2012 - Multilevel groundwater monitoring of hydraulic head and temperature in the eastern Snake River Plain aquifer, Idaho National Laboratory, Idaho, 2009–10","interactions":[],"lastModifiedDate":"2012-12-21T10:16:44","indexId":"sir20125259","displayToPublicDate":"2012-12-21T00:00:00","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":"2012-5259","title":"Multilevel groundwater monitoring of hydraulic head and temperature in the eastern Snake River Plain aquifer, Idaho National Laboratory, Idaho, 2009–10","docAbstract":"During 2009 and 2010, the U.S. Geological Survey’s Idaho National Laboratory Project Office, in cooperation with the U.S. Department of Energy, collected quarterly, depth-discrete measurements of fluid pressure and temperature in nine boreholes located in the eastern Snake River Plain aquifer. Each borehole was instrumented with a multilevel monitoring system consisting of a series of valved measurement ports, packer bladders, casing segments, and couplers. Multilevel monitoring at the Idaho National Laboratory has been ongoing since 2006. This report summarizes data collected from three multilevel monitoring wells installed during 2009 and 2010 and presents updates to six multilevel monitoring wells. Hydraulic heads (heads) and groundwater temperatures were monitored from 9 multilevel monitoring wells, including 120 hydraulically isolated depth intervals from 448.0 to 1,377.6 feet below land surface.\n\nQuarterly head and temperature profiles reveal unique patterns for vertical examination of the aquifer’s complex basalt and sediment stratigraphy, proximity to aquifer recharge and discharge, and groundwater flow. These features contribute to some of the localized variability even though the general profile shape remained consistent over the period of record. Major inflections in the head profiles almost always coincided with low-permeability sediment layers and occasionally thick sequences of dense basalt. However, the presence of a sediment layer or dense basalt layer was insufficient for identifying the location of a major head change within a borehole without knowing the true areal extent and relative transmissivity of the lithologic unit. Temperature profiles for boreholes completed within the Big Lost Trough indicate linear conductive trends; whereas, temperature profiles for boreholes completed within the axial volcanic high indicate mostly convective heat transfer resulting from the vertical movement of groundwater. Additionally, temperature profiles provide evidence for stratification and mixing of water types along the southern boundary of the Idaho National Laboratory.\n\nVertical head and temperature change were quantified for each of the nine multilevel monitoring systems. The vertical head gradients were defined for the major inflections in the head profiles and were as high as 2.1 feet per foot. Low vertical head gradients indicated potential vertical connectivity and flow, and large gradient inflections indicated zones of relatively low vertical connectivity. Generally, zones that primarily are composed of fractured basalt displayed relatively small vertical head differences. Large head differences were attributed to poor vertical connectivity between fracture units because of sediment layering and/or dense basalt. Groundwater temperatures in all boreholes ranged from 10.2 to 16.3˚C.\n\nNormalized mean hydraulic head values were analyzed for all nine multilevel monitoring wells for the period of record (2007-10). The mean head values suggest a moderately positive correlation among all boreholes, which reflects regional fluctuations in water levels in response to seasonality. However, the temporal trend is slightly different when the location is considered; wells located along the southern boundary, within the axial volcanic high, show a strongly positive correlation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125259","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Twining, B.V., and Fisher, J.C., 2012, Multilevel groundwater monitoring of hydraulic head and temperature in the eastern Snake River Plain aquifer, Idaho National Laboratory, Idaho, 2009–10: U.S. Geological Survey Scientific Investigations Report 2012-5259, Report: vii, 44 p.; Appendicies A-G, https://doi.org/10.3133/sir20125259.","productDescription":"Report: vii, 44 p.; Appendicies A-G","numberOfPages":"56","additionalOnlineFiles":"Y","ipdsId":"IP-034180","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":264704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5259.jpg"},{"id":264695,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5259/"},{"id":264696,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5259/pdf/sir20125259_AppA.pdf"},{"id":264697,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5259/pdf/sir20125259.pdf"},{"id":264698,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5259/pdf/sir20125259_AppC.pdf"},{"id":264699,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5259/pdf/sir20125259_AppB.pdf"},{"id":264700,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5259/pdf/sir20125259_AppD.pdf"},{"id":264701,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5259/pdf/sir20125259_AppE.pdf"},{"id":264702,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5259/pdf/sir20125259_AppF.pdf"},{"id":264703,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5259/pdf/sir20125259_AppG.pdf"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1927","country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.75,43.25 ], [ -113.75,49.75 ], [ -112.25,49.75 ], [ -112.25,43.25 ], [ -113.75,43.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d49663e4b0c6073c901f4a","contributors":{"authors":[{"text":"Twining, Brian V. 0000-0003-1321-4721 btwining@usgs.gov","orcid":"https://orcid.org/0000-0003-1321-4721","contributorId":2387,"corporation":false,"usgs":true,"family":"Twining","given":"Brian","email":"btwining@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Jason C. 0000-0001-9032-8912 jfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-9032-8912","contributorId":2523,"corporation":false,"usgs":true,"family":"Fisher","given":"Jason","email":"jfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470669,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042061,"text":"fs20123140 - 2012 - Use of raw materials in the United States from 1900 through 2010","interactions":[{"subject":{"id":97465,"text":"fs20093008 - 2009 - Use of Minerals and Materials in the United States From 1900 Through 2006","indexId":"fs20093008","publicationYear":"2009","noYear":false,"title":"Use of Minerals and Materials in the United States From 1900 Through 2006"},"predicate":"SUPERSEDED_BY","object":{"id":70042061,"text":"fs20123140 - 2012 - Use of raw materials in the United States from 1900 through 2010","indexId":"fs20123140","publicationYear":"2012","noYear":false,"title":"Use of raw materials in the United States from 1900 through 2010"},"id":1},{"subject":{"id":70042061,"text":"fs20123140 - 2012 - Use of raw materials in the United States from 1900 through 2010","indexId":"fs20123140","publicationYear":"2012","noYear":false,"title":"Use of raw materials in the United States from 1900 through 2010"},"predicate":"SUPERSEDED_BY","object":{"id":70190027,"text":"fs20173062 - 2017 - Use of raw materials in the United States from 1900 through 2014","indexId":"fs20173062","publicationYear":"2017","noYear":false,"title":"Use of raw materials in the United States from 1900 through 2014"},"id":2}],"supersededBy":{"id":70190027,"text":"fs20173062 - 2017 - Use of raw materials in the United States from 1900 through 2014","indexId":"fs20173062","publicationYear":"2017","noYear":false,"title":"Use of raw materials in the United States from 1900 through 2014"},"lastModifiedDate":"2017-08-28T14:24:20","indexId":"fs20123140","displayToPublicDate":"2012-12-21T00:00:00","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":"2012-3140","title":"Use of raw materials in the United States from 1900 through 2010","docAbstract":"Since the beginning of the 20th century, the types and quantities of raw materials used by U.S. manufacturers and consumers have changed over time. This fact sheet quantifies the amounts of those materials (other than food and fuel) that have been input into the U.S. economy annually for a period of 111 years, from 1900 through 2010. It provides a broad overview of all materials used but highlights the use and importance of raw nonfuel minerals in particular. This fact sheet supersedes U.S. Geological Survey Fact Sheet 2009–3008, which was published in April 2009 and covered the period 1900 through 2006. These data have been compiled to help the public and policymakers understand the flow of raw materials used in the United States in physical terms. Such information can be helpful in assessing the past and potential effects of the materials on the environment, evaluating the materials’ intensity of use, and examining the role that these materials play in the economy. It can also provide insight into what may happen to the materials at the end of their useful life.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123140","usgsCitation":"Matos, G.R., 2012, Use of raw materials in the United States from 1900 through 2010: U.S. Geological Survey Fact Sheet 2012-3140, 7 p., available only at https://pubs.usgs.gov/fs/2012/3140. (Supersedes Fact Sheet 2009–3008.) \n\n","productDescription":"Fact Sheet: 7 p.: Data Excel File","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1900-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":264714,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/fs/2012/3140/fs2012-3140_data_file.xlsx","size":"61 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Use of Raw Materials in the United States From 1900 Through 2010"},{"id":264715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3140.gif"},{"id":264713,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3140/pdf/fs2012-3140.pdf","text":"Report","size":"1.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2012-3140"},{"id":264712,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3140/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","publicComments":"Supersedes Fact Sheet 2009–3008","contact":"National Minerals Information Center
U.S. Geological Survey
991 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
The U.S. Geological Survey (USGS) has created a comprehensive geopressure-gradient model of the regional pressure system spanning the onshore and offshore portions of the Gulf of Mexico, USA. The model was used to generate ten maps: five contour maps (Maps 1A - 5A) characterize the depth to the surface defined by the first occurrence of isopressure-gradients ranging from 0.60 psi/ft to 1.00 psi/ft, in 0.10-psi/ft increments, and five supporting maps (Maps 1B - 5B) display the spatial density of the data used to construct the isopressure-gradient maps. The boundary of the geopressure-gradient model represents the maximum extent of the calculated pressure-gradient data. The regional investigation, however, encompassed an area defined by the USGS Upper Jurassic-Cretaceous-Tertiary Composite Total Petroleum System Boundary, and the availability of offshore data. A description of the geopressure-gradient model, including related mathematical derivations, the data-quality control methodology, linear pressure interpolation calculations, and contouring algorithms is provided by Burke et al. (in press [a]; in press [b]); these references, as well as a summary of the geopressure-gradient model, are supplied in the online documentation.
","language":"English","publisher":"American Association of Petroleum Geologists ","usgsCitation":"Burke, L.A., Kinney, S.A., Dubiel, R.F., and Pitman, J.K., 2012, Distribution of regional pressure in the onshore and offshore Gulf of Mexico basin, USA, Zip File.","productDescription":"Zip File","ipdsId":"IP-037050","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":360649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360555,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.datapages.com/gis-map-publishing-program/gis-open-files/geographic/distribution-of-regional-pressure-in-the-onshore-and-offshore-gulf-of-mexico-basin-usa"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.6904296875,\n 26.07652055985697\n ],\n [\n -87.16552734375,\n 26.07652055985697\n ],\n [\n -87.16552734375,\n 30.600093873550072\n ],\n [\n -97.6904296875,\n 30.600093873550072\n ],\n [\n -97.6904296875,\n 26.07652055985697\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1cb860e4b0708288c83838","contributors":{"authors":[{"text":"Burke, Lauri A. 0000-0002-2035-8048 lburke@usgs.gov","orcid":"https://orcid.org/0000-0002-2035-8048","contributorId":3859,"corporation":false,"usgs":true,"family":"Burke","given":"Lauri","email":"lburke@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dubiel, Russell F. 0000-0002-1280-0350 rdubiel@usgs.gov","orcid":"https://orcid.org/0000-0002-1280-0350","contributorId":1294,"corporation":false,"usgs":true,"family":"Dubiel","given":"Russell","email":"rdubiel@usgs.gov","middleInitial":"F.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754681,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201692,"text":"70201692 - 2012 - Regional map of the 0.70 psi/ft pressure gradient and development of the regional geopressure-gradient model for the onshore and offshore Gulf of Mexico basin, USA","interactions":[],"lastModifiedDate":"2018-12-21T13:33:45","indexId":"70201692","displayToPublicDate":"2012-12-20T10:53:32","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1717,"text":"GCAGS Journal","active":true,"publicationSubtype":{"id":10}},"title":"Regional map of the 0.70 psi/ft pressure gradient and development of the regional geopressure-gradient model for the onshore and offshore Gulf of Mexico basin, USA","docAbstract":"Characterization of the regional pressure system in the Gulf of Mexico basin is critical for assessing the occurrence of undiscovered petroleum resources, evaluating areas with potential pressure-related production, identifying potential pressure-related geohazard issues, evaluating hydrocarbon reservoir-seal integrity, and determining the feasibility of geological sequestration and long-term containment of fluids.
","language":"English","publisher":"Gulf Coast Association of Geological Studies","usgsCitation":"Burke, L.A., Kinney, S.A., Dubiel, R.F., and Pitman, J.K., 2012, Regional map of the 0.70 psi/ft pressure gradient and development of the regional geopressure-gradient model for the onshore and offshore Gulf of Mexico basin, USA: GCAGS Journal, v. 1, p. 97-106.","productDescription":"13 p.","startPage":"97","endPage":"106","ipdsId":"IP-036210","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":360680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360675,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://archives.datapages.com/data/gcags-journal/data/001/001001/pdfs/97.pdf"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.55957031249999,\n 28.091366281406945\n ],\n [\n -87.4072265625,\n 28.091366281406945\n ],\n [\n -87.4072265625,\n 31.615965936476076\n ],\n [\n -93.55957031249999,\n 31.615965936476076\n ],\n [\n -93.55957031249999,\n 28.091366281406945\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1e0a34e4b0708288cb022d","contributors":{"authors":[{"text":"Burke, Lauri A. 0000-0002-2035-8048 lburke@usgs.gov","orcid":"https://orcid.org/0000-0002-2035-8048","contributorId":3859,"corporation":false,"usgs":true,"family":"Burke","given":"Lauri","email":"lburke@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dubiel, Russell F. 0000-0002-1280-0350 rdubiel@usgs.gov","orcid":"https://orcid.org/0000-0002-1280-0350","contributorId":1294,"corporation":false,"usgs":true,"family":"Dubiel","given":"Russell","email":"rdubiel@usgs.gov","middleInitial":"F.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754872,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70041974,"text":"sir20125159 - 2012 - Geologic models and evaluation of undiscovered conventional and continuous oil and gas resources: Upper Cretaceous Austin Chalk","interactions":[],"lastModifiedDate":"2012-12-20T10:39:56","indexId":"sir20125159","displayToPublicDate":"2012-12-20T00:00:00","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":"2012-5159","title":"Geologic models and evaluation of undiscovered conventional and continuous oil and gas resources: Upper Cretaceous Austin Chalk","docAbstract":"The Upper Cretaceous Austin Chalk forms a low-permeability, onshore Gulf of Mexico reservoir that produces oil and gas from major fractures oriented parallel to the underlying Lower Cretaceous shelf edge. Horizontal drilling links these fracture systems to create an interconnected network that drains the reservoir. Field and well locations along the production trend are controlled by fracture networks. Highly fractured chalk is present along both regional and local fault zones. Fractures are also genetically linked to movement of the underlying Jurassic Louann Salt with tensile fractures forming downdip of salt-related structures creating the most effective reservoirs. Undiscovered accumulations should also be associated with structure-controlled fracture systems because much of the Austin that overlies the Lower Cretaceous shelf edge remains unexplored. The Upper Cretaceous Eagle Ford Shale is the primary source rock for Austin Chalk hydrocarbons. This transgressive marine shale varies in thickness and lithology across the study area and contains both oil- and gas-prone kerogen. The Eagle Ford began generating oil and gas in the early Miocene, and vertical migration through fractures was sufficient to charge the Austin reservoirs.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125159","usgsCitation":"Pearson, K., 2012, Geologic models and evaluation of undiscovered conventional and continuous oil and gas resources: Upper Cretaceous Austin Chalk: U.S. Geological Survey Scientific Investigations Report 2012-5159, iv, 26 p., https://doi.org/10.3133/sir20125159.","productDescription":"iv, 26 p.","numberOfPages":"33","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":264667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":264665,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5159/"},{"id":264666,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5159/SIR12-5159.pdf"}],"country":"United States","state":"Alabama;Arkansas;Florida;Georgia;Illinois;Kentucky;Louisiana;Mississippi;Missouri;Oklahoma;Tennessee;Texas","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.0,24.0 ], [ -102.0,36.5 ], [ -78.0,36.5 ], [ -78.0,24.0 ], [ -102.0,24.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d391c8e4b062c7914ebd92","contributors":{"authors":[{"text":"Pearson, Krystal","contributorId":91609,"corporation":false,"usgs":true,"family":"Pearson","given":"Krystal","affiliations":[],"preferred":false,"id":470517,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70042024,"text":"sir20125237 - 2012 - Numerical model simulations of nitrate concentrations in groundwater using various nitrogen input scenarios, mid-Snake region, south-central Idaho","interactions":[],"lastModifiedDate":"2012-12-20T14:00:23","indexId":"sir20125237","displayToPublicDate":"2012-12-20T00:00:00","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":"2012-5237","title":"Numerical model simulations of nitrate concentrations in groundwater using various nitrogen input scenarios, mid-Snake region, south-central Idaho","docAbstract":"As part of the U.S. Geological Survey’s National Water Quality Assessment (NAWQA) program nitrate transport in groundwater was modeled in the mid-Snake River region in south-central Idaho to project future concentrations of nitrate. Model simulation results indicated that nitrate concentrations would continue to increase over time, eventually exceeding the U.S. Environmental Protection Agency maximum contaminant level for drinking water of 10 milligrams per liter in some areas. A subregional groundwater model simulated the change of nitrate concentrations in groundwater over time in response to three nitrogen input scenarios: (1) nitrogen input fixed at 2008 levels; (2) nitrogen input increased from 2008 to 2028 using the same rate of increase as the average rate of increase during the previous 10 years (1998 through 2008); after 2028, nitrogen input is fixed at 2028 levels; and (3) nitrogen input related to agriculture completely halted, with only nitrogen input from precipitation remaining. Scenarios 1 and 2 project that nitrate concentrations in groundwater continue to increase from 10 to 50 years beyond the year nitrogen input is fixed, depending on the location in the model area. Projected nitrate concentrations in groundwater increase by as much as 2–4 milligrams per liter in many areas, with nitrate concentrations in some areas reaching 10 milligrams per liter. Scenario 3, although unrealistic, estimates how long (20–50 years) it would take nitrate in groundwater to return to background concentrations—the “flushing time” of the system. The amount of nitrate concentration increase cannot be explained solely by differences in nitrogen input; in fact, some areas with the highest amount of nitrogen input have the lowest increase in nitrate concentration. The geometry of the aquifer and the pattern of regional groundwater flow through the aquifer greatly influence nitrate concentrations. The aquifer thins toward discharge areas along the Snake River which forces upward convergence of good-quality regional groundwater that mixes with the nitrate-laden groundwater in the uppermost parts of the aquifer, which results in lowered nitrate concentrations. A new method of inputting nitrogen to the subregional groundwater model was used that prorates nitrogen input by the probability of detecting nitrate concentrations greater than 2 mg/L. The probability map is based on correlations with physical factors, and prorates an existing nitrogen input dataset providing an estimate of nitrogen flux to the water table that accounts for new factors such as soil properties. The effectiveness of this updated nitrogen input method was evaluated using the software UCODE_2005.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125237","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Skinner, K.D., and Rupert, M.G., 2012, Numerical model simulations of nitrate concentrations in groundwater using various nitrogen input scenarios, mid-Snake region, south-central Idaho: U.S. Geological Survey Scientific Investigations Report 2012-5237, viii, 30 p., https://doi.org/10.3133/sir20125237.","productDescription":"viii, 30 p.","numberOfPages":"42","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":264676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5237.jpg"},{"id":264674,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5237/"},{"id":264675,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5237/pdf/sir20125237.pdf"}],"datum":"North American Datum of 1983","country":"United States","state":"Idaho","otherGeospatial":"Mid-snake Region","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.50,42.25 ], [ -115.50,43.50 ], [ -112.50,43.50 ], [ -112.50,42.25 ], [ -115.50,42.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d391d1e4b062c7914ebd99","contributors":{"authors":[{"text":"Skinner, Kenneth D. 0000-0003-1774-6565 kskinner@usgs.gov","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":1836,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","email":"kskinner@usgs.gov","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rupert, Michael G. mgrupert@usgs.gov","contributorId":1194,"corporation":false,"usgs":true,"family":"Rupert","given":"Michael","email":"mgrupert@usgs.gov","middleInitial":"G.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470628,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}