{"pageNumber":"1621","pageRowStart":"40500","pageSize":"25","recordCount":184605,"records":[{"id":70039752,"text":"ofr20121188 - 2012 - Estimated probability of postwildfire debris flows in the 2012 Whitewater-Baldy Fire burn area, southwestern New Mexico","interactions":[],"lastModifiedDate":"2012-08-30T01:02:05","indexId":"ofr20121188","displayToPublicDate":"2012-08-29T00:00:00","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":"2012-1188","title":"Estimated probability of postwildfire debris flows in the 2012 Whitewater-Baldy Fire burn area, southwestern New Mexico","docAbstract":"In May and June 2012, the Whitewater-Baldy Fire burned approximately 1,200 square kilometers (300,000 acres) of the Gila National Forest, in southwestern New Mexico. The burned landscape is now at risk of damage from postwildfire erosion, such as that caused by debris flows and flash floods. This report presents a preliminary hazard assessment of the debris-flow potential from 128 basins burned by the Whitewater-Baldy Fire. A pair of empirical hazard-assessment models developed by using data from recently burned basins throughout the intermountain Western United States was used to estimate the probability of debris-flow occurrence and volume of debris flows along the burned area drainage network and for selected drainage basins within the burned area. The models incorporate measures of areal burned extent and severity, topography, soils, and storm rainfall intensity to estimate the probability and volume of debris flows following the fire. In response to the 2-year-recurrence, 30-minute-duration rainfall, modeling indicated that four basins have high probabilities of debris-flow occurrence (greater than or equal to 80 percent). For the 10-year-recurrence, 30-minute-duration rainfall, an additional 14 basins are included, and for the 25-year-recurrence, 30-minute-duration rainfall, an additional eight basins, 20 percent of the total, have high probabilities of debris-flow occurrence. In addition, probability analysis along the stream segments can identify specific reaches of greatest concern for debris flows within a basin. Basins with a high probability of debris-flow occurrence were concentrated in the west and central parts of the burned area, including tributaries to Whitewater Creek, Mineral Creek, and Willow Creek. Estimated debris-flow volumes ranged from about 3,000-4,000 cubic meters (m<sup>3</sup>) to greater than 500,000 m<sup>3</sup> for all design storms modeled. Drainage basins with estimated volumes greater than 500,000 m<sup>3</sup> included tributaries to Whitewater Creek, Willow Creek, Iron Creek, and West Fork Mogollon Creek. Drainage basins with estimated debris-flow volumes greater than 100,000 m<sup>3</sup> for the 25-year-recurrence event, 24 percent of the basins modeled, also include tributaries to Deep Creek, Mineral Creek, Gilita Creek, West Fork Gila River, Mogollon Creek, and Turkey Creek, among others. Basins with the highest combined probability and volume relative hazard rankings for the 25-year-recurrence rainfall include tributaries to Whitewater Creek, Mineral Creek, Willow Creek, West Fork Gila River, West Fork Mogollon Creek, and Turkey Creek. Debris flows from Whitewater, Mineral, and Willow Creeks could affect the southwestern New Mexico communities of Glenwood, Alma, and Willow Creek. The maps presented herein may be used to prioritize areas where emergency erosion mitigation or other protective measures may be necessary within a 2- to 3-year period of vulnerability following the Whitewater-Baldy Fire. This work is preliminary and is subject to revision. It is being provided because of the need for timely \"best science\" information. The assessment herein is provided on the condition that neither the U.S. Geological Survey nor the U.S. Government may be held liable for any damages resulting from the authorized or unauthorized use of the assessment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121188","collaboration":"Prepared in cooperation with U.S. Department of Agriculture Forest Service, Gila National Forest","usgsCitation":"Tillery, A.C., Matherne, A.M., and Verdin, K.L., 2012, Estimated probability of postwildfire debris flows in the 2012 Whitewater-Baldy Fire burn area, southwestern New Mexico: U.S. Geological Survey Open-File Report 2012-1188, Report: iv, 11 p.; Plate 1: 32.92 inches x 21.34 inches, Plate 2: 32.89 inches x 21.31 inches, Plate 3: 32.89 inches x 21.31 inches, https://doi.org/10.3133/ofr20121188.","productDescription":"Report: iv, 11 p.; Plate 1: 32.92 inches x 21.34 inches, Plate 2: 32.89 inches x 21.31 inches, Plate 3: 32.89 inches x 21.31 inches","onlineOnly":"Y","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":259977,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1188.gif"},{"id":259975,"rank":402,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1188/ofr2012-1188_pl2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259972,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1188/","linkFileType":{"id":5,"text":"html"}},{"id":259973,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1188/ofr2012-1188_pl1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259974,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1188/ofr2012-1188_pl3.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259971,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1188/ofr2012-1188.pdf","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Universal Transverse Mercator coordinate system Zone 12 North","datum":"North American Datum of 1983","country":"United States","state":"New Mexico","county":"Catron;Grant","otherGeospatial":"Gila National Forest;Mogollon Mountains;Whitewater Baldy","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.08333333333333,33.083333333333336 ], [ -109.08333333333333,33.583333333333336 ], [ -108.16666666666667,33.583333333333336 ], [ -108.16666666666667,33.083333333333336 ], [ -109.08333333333333,33.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0a9fe4b0c8380cd523f5","contributors":{"authors":[{"text":"Tillery, Anne C. 0000-0002-9508-7908 atillery@usgs.gov","orcid":"https://orcid.org/0000-0002-9508-7908","contributorId":2549,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","email":"atillery@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verdin, Kristine L. 0000-0002-6114-4660 kverdin@usgs.gov","orcid":"https://orcid.org/0000-0002-6114-4660","contributorId":3070,"corporation":false,"usgs":true,"family":"Verdin","given":"Kristine","email":"kverdin@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":466874,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039723,"text":"70039723 - 2012 - Mapping outdoor recreationists' perceived social values for ecosystem services at Hinchinbrook Island National Park, Australia","interactions":[],"lastModifiedDate":"2012-08-30T01:02:05","indexId":"70039723","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":836,"text":"Applied Geography","active":true,"publicationSubtype":{"id":10}},"title":"Mapping outdoor recreationists' perceived social values for ecosystem services at Hinchinbrook Island National Park, Australia","docAbstract":"Coastal ecosystems are increasingly faced with human impacts. To better understand these changing conditions, biophysical and economic values of nature have been used to prioritize spatial planning efforts and ecosystem-based management of human activities. Less is known, however, about how to characterize and represent non-material values in decision-making. We collected on-site and mailback survey data (<i>n</i> = 209), and analyzed these data using the Social Values for Ecosystem Services (SolVES) GIS application to incorporate measures of social value and natural resource conditions on Hinchinbrook Island National Park, Australia. Our objectives in this paper are to: 1) determine the spatial distribution and point density of social values for ecosystem services; 2) examine the relationship between social values and natural resource conditions; and 3) compare social value allocations between two subgroups of outdoor recreationists. Results suggest that high priority areas exist on Hinchinbrook's land and seascapes according to the multiple values assigned to places by outdoor recreationists engaged in consumptive (e.g., fishing) and non-consumptive (e.g., hiking) activities. We examine statistically significant spatial clustering across two subgroups of the survey population for three value types that reflect Recreation, Biological Diversity, and Aesthetic qualities. The relationship between the relative importance of social values for ecosystem services and spatially-defined ecological data is explored to guide management decision-making in the context of an island national park setting.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.apgeog.2012.06.008","usgsCitation":"van Riper, C.J., Kyle, G.T., Sutton, S., Barnes, M., and Sherrouse, B.C., 2012, Mapping outdoor recreationists' perceived social values for ecosystem services at Hinchinbrook Island National Park, Australia: Applied Geography, v. 35, no. 1-2, p. 164-173, https://doi.org/10.1016/j.apgeog.2012.06.008.","productDescription":"10 p.","startPage":"164","endPage":"173","numberOfPages":"9","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":260003,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259988,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeog.2012.06.008","linkFileType":{"id":5,"text":"html"}}],"country":"Australia","otherGeospatial":"Hinchinbrook Island National Park","volume":"35","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a506ce4b0c8380cd6b6b3","contributors":{"authors":[{"text":"van Riper, Carena J.","contributorId":42827,"corporation":false,"usgs":false,"family":"van Riper","given":"Carena","email":"","middleInitial":"J.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":466816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kyle, Gerard T.","contributorId":69405,"corporation":false,"usgs":true,"family":"Kyle","given":"Gerard","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":466817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutton, Stephen G.","contributorId":14685,"corporation":false,"usgs":true,"family":"Sutton","given":"Stephen G.","affiliations":[],"preferred":false,"id":466814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnes, Melinda","contributorId":82968,"corporation":false,"usgs":true,"family":"Barnes","given":"Melinda","email":"","affiliations":[],"preferred":false,"id":466818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherrouse, Benson C.","contributorId":37831,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":466815,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039756,"text":"sir20125169 - 2012 - Water-quality characteristics and trends for selected sites at and near the Idaho National Laboratory, Idaho, 1949-2009","interactions":[],"lastModifiedDate":"2012-08-31T01:01:45","indexId":"sir20125169","displayToPublicDate":"2012-08-29T00:00:00","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":"2012-5169","title":"Water-quality characteristics and trends for selected sites at and near the Idaho National Laboratory, Idaho, 1949-2009","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, analyzed water-quality data collected from 67 aquifer wells and 7 surface-water sites at the Idaho National Laboratory (INL) from 1949 through 2009. The data analyzed included major cations, anions, nutrients, trace elements, and total organic carbon. The analyses were performed to examine water-quality trends that might inform future management decisions about the number of wells to sample at the INL and the type of constituents to monitor. Water-quality trends were determined using (1) the nonparametric Kendall's <i>tau</i> correlation coefficient, <i>p</i>-value, Theil-Sen slope estimator, and summary statistics for uncensored data; and (2) the Kaplan-Meier method for calculating summary statistics, Kendall's <i>tau</i> correlation coefficient, <i>p</i>-value, and Akritas-Theil-Sen slope estimator for robust linear regression for censored data. Statistical analyses for chloride concentrations indicate that groundwater influenced by Big Lost River seepage has decreasing chloride trends or, in some cases, has variable chloride concentration changes that correlate with above-average and below-average periods of recharge. Analyses of trends for chloride in water samples from four sites located along the Big Lost River indicate a decreasing trend or no trend for chloride, and chloride concentrations generally are much lower at these four sites than those in the aquifer. Above-average and below-average periods of recharge also affect concentration trends for sodium, sulfate, nitrate, and a few trace elements in several wells. Analyses of trends for constituents in water from several of the wells that is mostly regionally derived groundwater generally indicate increasing trends for chloride, sodium, sulfate, and nitrate concentrations. These increases are attributed to agricultural or other anthropogenic influences on the aquifer upgradient of the INL. Statistical trends of chemical constituents from several wells near the Naval Reactors Facility may be influenced by wastewater disposal at the facility or by anthropogenic influence from the Little Lost River basin. Groundwater samples from three wells downgradient of the Power Burst Facility area show increasing trends for chloride, nitrate, sodium, and sulfate concentrations. The increases could be caused by wastewater disposal in the Power Burst Facility area. Some groundwater samples in the southwestern part of the INL and southwest of the INL show concentration trends for chloride and sodium that may be influenced by wastewater disposal. Some of the groundwater samples have decreasing trends that could be attributed to the decreasing concentrations in the wastewater from the late 1970s to 2009. The young fraction of groundwater in many of the wells is more than 20 years old, so samples collected in the early 1990s are more representative of groundwater discharged in the 1960s and 1970s, when concentrations in wastewater were much higher. Groundwater sampled in 2009 would be representative of the lower concentrations of chloride and sodium in wastewater discharged in the late 1980s. Analyses of trends for sodium in several groundwater samples from the central and southern part of the eastern Snake River aquifer show increasing trends. In most cases, however, the sodium concentrations are less than background concentrations measured in the aquifer. Many of the wells are open to larger mixed sections of the aquifer, and the increasing trends may indicate that the long history of wastewater disposal in the central part of the INL is increasing sodium concentrations in the groundwater.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125169","collaboration":"Prepared in cooperation with the U.S. Department of Energy, DOE/ID-22219","usgsCitation":"Bartholomay, R.C., Davis, L.C., Fisher, J.C., Tucker, B.J., and Raben, F.A., 2012, Water-quality characteristics and trends for selected sites at and near the Idaho National Laboratory, Idaho, 1949-2009: U.S. Geological Survey Scientific Investigations Report 2012-5169, Report: vi, 68 p.; Appendices A-E PDF, https://doi.org/10.3133/sir20125169.","productDescription":"Report: vi, 68 p.; Appendices A-E PDF","onlineOnly":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":260004,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5169.jpg"},{"id":259993,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259994,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169_AppA.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259995,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169_AppB.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259998,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169_AppE.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259992,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5169/","linkFileType":{"id":5,"text":"html"}},{"id":259996,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169_AppC.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259997,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5169/pdf/sir20125169_AppD.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator, Zone 12","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 ], [ -113.75,44.233333333333334 ], [ -112.25,44.233333333333334 ], [ -112.25,43.25 ], [ -113.75,43.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcdd8e4b08c986b32e102","contributors":{"authors":[{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Linda C. lcdavis@usgs.gov","contributorId":2539,"corporation":false,"usgs":true,"family":"Davis","given":"Linda","email":"lcdavis@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":466877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tucker, Betty J.","contributorId":27885,"corporation":false,"usgs":true,"family":"Tucker","given":"Betty","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raben, Flint A.","contributorId":79345,"corporation":false,"usgs":true,"family":"Raben","given":"Flint","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":466880,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039759,"text":"sir20125126 - 2012 - Origin and characteristics of discharge at San Marcos Springs based on hydrologic and geochemical data (2008-10), Bexar, Comal, and Hays Counties, Texas","interactions":[],"lastModifiedDate":"2016-08-08T08:43:00","indexId":"sir20125126","displayToPublicDate":"2012-08-29T00:00:00","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":"2012-5126","title":"Origin and characteristics of discharge at San Marcos Springs based on hydrologic and geochemical data (2008-10), Bexar, Comal, and Hays Counties, Texas","docAbstract":"<p>The Edwards aquifer in south-central Texas is a productive and important water resource. Several large springs issuing from the aquifer are major discharge points, popular locations for recreational activities, and habitat for threatened and endangered species. Discharges from Comal and San Marcos Springs, the first and second largest spring complexes in Texas, are used as thresholds in groundwater management strategies for the Edwards aquifer. Comal Springs is generally understood to be supplied by predominantly regional groundwater flow paths; the hydrologic connection of San Marcos Springs with the regional flow system, however, is less understood. During November 2008&ndash;December 2010, a hydrologic and geochemical investigation of San Marcos Springs was conducted by the U.S. Geological Survey (USGS) in cooperation with the San Antonio Water System. The primary objective of this study was to define and characterize sources of discharge from San Marcos Springs. During this study, hydrologic conditions transitioned from exceptional drought (the dry period, November 1, 2008 to September 8, 2009) to wetter than normal (the wet period, September 9, 2009 to December 31, 2010), which provided the opportunity to investigate the hydrogeology of San Marcos Springs under a wide range of hydrologic conditions. Water samples were collected from streams, groundwater wells, and springs at and in the vicinity of San Marcos Springs, including periodic (routine) sampling (every 3&ndash;7 weeks) and sampling in response to storms. Samples were analyzed for major ions, trace elements, nutrients, and selected stable and radiogenic isotopes (deuterium, oxygen, carbon, strontium). Additionally, selected physicochemical properties were measured continuously at several sites, and hydrologic data were compiled from other USGS efforts (stream and spring discharge). Potential aquifer recharge was evaluated from local streams, and daily recharge or gain/loss estimates were computed for several local streams. Local rainfall and recharge events were compared with physicochemical properties and geochemical variability at San Marcos Springs, with little evidence for dilution by local recharge.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125126","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Musgrove, M., and Crow, C.L., 2012, Origin and characteristics of discharge at San Marcos Springs based on hydrologic and geochemical data (2008-10), Bexar, Comal, and Hays Counties, Texas: U.S. Geological Survey Scientific Investigations Report 2012-5126, vii, 94 p., https://doi.org/10.3133/sir20125126.","productDescription":"vii, 94 p.","numberOfPages":"105","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":260021,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125126.JPG"},{"id":260018,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5126/","linkFileType":{"id":5,"text":"html"}},{"id":260019,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5126/SIR2012-5126.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Texas","county":"Bexar County, Comal County, Hays County","otherGeospatial":"San Marcos Springs","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a709be4b0c8380cd7611b","contributors":{"authors":[{"text":"Musgrove, MaryLynn","contributorId":34878,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","affiliations":[],"preferred":false,"id":466890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":466889,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039717,"text":"70039717 - 2012 - Holocene alluvial stratigraphy and response to climate change in the Roaring River valley, Front Range, Colorado, USA","interactions":[],"lastModifiedDate":"2012-08-30T01:02:05","indexId":"70039717","displayToPublicDate":"2012-08-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Holocene alluvial stratigraphy and response to climate change in the Roaring River valley, Front Range, Colorado, USA","docAbstract":"Stratigraphic analyses and radiocarbon geochronology of alluvial deposits exposed along the Roaring River, Colorado, lead to three principal conclusions: (1) the opinion that stream channels in the higher parts of the Front Range are relics of the Pleistocene and nonalluvial under the present climate, as argued in a water-rights trial USA v. Colorado, is untenable, (2) beds of clast-supported gravel alternate in vertical succession with beds of fine-grained sediment (sand, mud, and peat) in response to centennial-scale changes in snowmelt-driven peak discharges, and (3) alluvial strata provide information about Holocene climate history that complements the history provided by cirque moraines, periglacial deposits, and paleontological data. Most alluvial strata are of late Holocene age and record, among other things, that: (1) the largest peak flows since the end of the Pleistocene occurred during the late Holocene; (2) the occurrence of a mid- to late Holocene interval (~2450&ndash;1630(?) cal yr BP) of warmer climate, which is not clearly identified in palynological records; and (3) the Little Ice Age climate seems to have had little impact on stream channels, except perhaps for minor (~1 m) incision. Published","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.yqres.2012.05.005","usgsCitation":"Madole, R.F., 2012, Holocene alluvial stratigraphy and response to climate change in the Roaring River valley, Front Range, Colorado, USA: Quaternary Research, v. 78, no. 2, p. 197-208, https://doi.org/10.1016/j.yqres.2012.05.005.","productDescription":"12 p.","startPage":"197","endPage":"208","numberOfPages":"11","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":259999,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259987,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.yqres.2012.05.005","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","otherGeospatial":"Front Range;Roaring River Valley","volume":"78","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-06-03","publicationStatus":"PW","scienceBaseUri":"505a31d2e4b0c8380cd5e25b","contributors":{"authors":[{"text":"Madole, Richard F. 0000-0002-9081-570X madole@usgs.gov","orcid":"https://orcid.org/0000-0002-9081-570X","contributorId":1340,"corporation":false,"usgs":true,"family":"Madole","given":"Richard","email":"madole@usgs.gov","middleInitial":"F.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":466789,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039718,"text":"70039718 - 2012 - Quantitative estimation of climatic parameters from vegetation data in North America by the mutual climatic range technique","interactions":[],"lastModifiedDate":"2012-08-29T01:01:53","indexId":"70039718","displayToPublicDate":"2012-08-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative estimation of climatic parameters from vegetation data in North America by the mutual climatic range technique","docAbstract":"The mutual climatic range (MCR) technique is perhaps the most widely used method for estimating past climatic parameters from fossil assemblages, largely because it can be conducted on a simple list of the taxa present in an assemblage. When applied to plant macrofossil data, this unweighted approach (MCR<sub>un</sub>) will frequently identify a large range for a given climatic parameter where the species in an assemblage can theoretically live together. To narrow this range, we devised a new weighted approach (MCR<sub>wt</sub>) that employs information from the modern relations between climatic parameters and plant distributions to lessen the influence of the \"tails\" of the distributions of the climatic data associated with the taxa in an assemblage. To assess the performance of the MCR approaches, we applied them to a set of modern climatic data and plant distributions on a 25-km grid for North America, and compared observed and estimated climatic values for each grid point. In general, MCR<sub>wt</sub> was superior to MCR<sub>un</sub> in providing smaller anomalies, less bias, and better correlations between observed and estimated values. However, by the same measures, the results of Modern Analog Technique (MAT) approaches were superior to MCR<sub>wt</sub>. Although this might be reason to favor MAT approaches, they are based on assumptions that may not be valid for paleoclimatic reconstructions, including that: 1) the absence of a taxon from a fossil sample is meaningful, 2) plant associations were largely unaffected by past changes in either levels of atmospheric carbon dioxide or in the seasonal distributions of solar radiation, and 3) plant associations of the past are adequately represented on the modern landscape. To illustrate the application of these MCR and MAT approaches to paleoclimatic reconstructions, we applied them to a Pleistocene paleobotanical assemblage from the western United States. From our examinations of the estimates of modern and past climates from vegetation assemblages, we conclude that the MCR<sub>un</sub> technique provides reliable and unbiased estimates of the ranges of possible climatic conditions that can reasonably be associated with these assemblages. The application of MCR<sub>wt</sub> and MAT approaches can further constrain these estimates and may provide a systematic way to assess uncertainty. The data sets required for MCR analyses in North America are provided in a parallel publication.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Science Reviews","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.quascirev.2012.07.003","usgsCitation":"Anderson, K.H., Bartlein, P.J., Strickland, L.E., Pelltier, R.T., Thompson, R.S., and Shafer, S., 2012, Quantitative estimation of climatic parameters from vegetation data in North America by the mutual climatic range technique: Quaternary Science Reviews, v. 51, p. 18-39, https://doi.org/10.1016/j.quascirev.2012.07.003.","productDescription":"22 p.","startPage":"18","endPage":"39","numberOfPages":"21","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":259955,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259917,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quascirev.2012.07.003","linkFileType":{"id":5,"text":"html"}}],"country":"Canada;Mexico;United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173,21.933333333333334 ], [ 173,71.83333333333333 ], [ -51.666666666666664,71.83333333333333 ], [ -51.666666666666664,21.933333333333334 ], [ 173,21.933333333333334 ] ] ] } } ] }","volume":"51","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a9215e4b0c8380cd80643","contributors":{"authors":[{"text":"Anderson, Katherine H. 0000-0003-2677-6109","orcid":"https://orcid.org/0000-0003-2677-6109","contributorId":52556,"corporation":false,"usgs":true,"family":"Anderson","given":"Katherine","email":"","middleInitial":"H.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":466794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartlein, Patrick J.","contributorId":106879,"corporation":false,"usgs":true,"family":"Bartlein","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strickland, Laura E. 0000-0002-1958-7273 lstrickland@usgs.gov","orcid":"https://orcid.org/0000-0002-1958-7273","contributorId":4682,"corporation":false,"usgs":true,"family":"Strickland","given":"Laura","email":"lstrickland@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":466791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pelltier, Richard T. 0000-0001-8322-7961 rtpelltier@usgs.gov","orcid":"https://orcid.org/0000-0001-8322-7961","contributorId":4683,"corporation":false,"usgs":true,"family":"Pelltier","given":"Richard","email":"rtpelltier@usgs.gov","middleInitial":"T.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":466792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Robert S. 0000-0001-9287-2954 rthompson@usgs.gov","orcid":"https://orcid.org/0000-0001-9287-2954","contributorId":891,"corporation":false,"usgs":true,"family":"Thompson","given":"Robert","email":"rthompson@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":466790,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shafer, Sarah L.","contributorId":32623,"corporation":false,"usgs":true,"family":"Shafer","given":"Sarah L.","affiliations":[],"preferred":false,"id":466793,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039746,"text":"sir20122152 - 2012 - A comparison of U.S. Geological Survey three-dimensional model estimates of groundwater source areas and velocities to independently derived estimates, Idaho National Laboratory and vicinity, Idaho","interactions":[],"lastModifiedDate":"2022-04-22T20:18:49.02745","indexId":"sir20122152","displayToPublicDate":"2012-08-28T00:00:00","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":"2012-5152","title":"A comparison of U.S. Geological Survey three-dimensional model estimates of groundwater source areas and velocities to independently derived estimates, Idaho National Laboratory and vicinity, Idaho","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Energy, evaluated a three-dimensional model of groundwater flow in the fractured basalts and interbedded sediments of the eastern Snake River Plain aquifer at and near the Idaho National Laboratory to determine if model-derived estimates of groundwater movement are consistent with (1) results from previous studies on water chemistry type, (2) the geochemical mixing at an example well, and (3) independently derived estimates of the average linear groundwater velocity. Simulated steady-state flow fields were analyzed using backward particle-tracking simulations that were based on a modified version of the particle tracking program MODPATH. Model results were compared to the 5-microgram-per-liter lithium contour interpreted to represent the transition from a water type that is primarily composed of tributary valley underflow and streamflow-infiltration recharge to a water type primarily composed of regional aquifer water. This comparison indicates several shortcomings in the way the model represents flow in the aquifer. The eastward movement of tributary valley underflow and streamflow-infiltration recharge is overestimated in the north-central part of the model area and underestimated in the central part of the model area. Model inconsistencies can be attributed to large contrasts in hydraulic conductivity between hydrogeologic zones. Sources of water at well NPR-W01 were identified using backward particle tracking, and they were compared to the relative percentages of source water chemistry determined using geochemical mass balance and mixing models. The particle tracking results compare reasonably well with the chemistry results for groundwater derived from surface-water sources (-28 percent error), but overpredict the proportion of groundwater derived from regional aquifer water (108 percent error) and underpredict the proportion of groundwater derived from tributary valley underflow from the Little Lost River valley (-74 percent error). These large discrepancies may be attributed to large contrasts in hydraulic conductivity between hydrogeologic zones and (or) a short-circuiting of underflow from the Little Lost River valley to an area of high hydraulic conductivity. Independently derived estimates of the average groundwater velocity at 12 well locations within the upper 100 feet of the aquifer were compared to model-derived estimates. Agreement between velocity estimates was good at wells with travel paths located in areas of sediment-rich rock (root-mean-square error [RMSE] = 5.2 feet per day [ft/d]) and poor in areas of sediment-poor rock (RMSE = 26.2 ft/d); simulated velocities in sediment-poor rock were 2.5 to 4.5 times larger than independently derived estimates at wells USGS 1 (less than 14 ft/d) and USGS 100 (less than 21 ft/d). The models overprediction of groundwater velocities in sediment-poor rock may be attributed to large contrasts in hydraulic conductivity and a very large, model-wide estimate of vertical anisotropy (14,800).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20122152","collaboration":"Prepared in cooperation with the U.S. Department of Energy, DOE/ID-22218","usgsCitation":"Fisher, J.C., Rousseau, J.P., Bartholomay, R.C., and Rattray, G.W., 2012, A comparison of U.S. Geological Survey three-dimensional model estimates of groundwater source areas and velocities to independently derived estimates, Idaho National Laboratory and vicinity, Idaho: U.S. Geological Survey Scientific Investigations Report 2012-5152, viii; 129 p., https://doi.org/10.3133/sir20122152.","productDescription":"viii; 129 p.","numberOfPages":"142","onlineOnly":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":259966,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5152.jpg"},{"id":259958,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5152/pdf/sir20125152.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259957,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5152/","linkFileType":{"id":5,"text":"html"}},{"id":399524,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_97274.htm"}],"projection":"Albers Equal Area Conic","datum":"North American Datum of 1927","country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory and vicinity","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.7,\n              43.1028\n            ],\n            [\n              -112.2333,\n              43.1028\n            ],\n            [\n              -112.2333,\n              44.0736\n            ],\n            [\n              -113.7,\n              44.0736\n            ],\n            [\n              -113.7,\n              43.1028\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e354e4b0c8380cd45f8a","contributors":{"authors":[{"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":466858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rousseau, Joseph P.","contributorId":22030,"corporation":false,"usgs":true,"family":"Rousseau","given":"Joseph","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":466859,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466857,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039748,"text":"ofr20121018 - 2012 - Depth of cinder deposits and water-storage capacity at Cinder Lake, Coconino County, Arizona","interactions":[],"lastModifiedDate":"2012-08-29T01:01:53","indexId":"ofr20121018","displayToPublicDate":"2012-08-28T00:00:00","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":"2012-1018","title":"Depth of cinder deposits and water-storage capacity at Cinder Lake, Coconino County, Arizona","docAbstract":"The 2010 Schultz fire northeast of Flagstaff, Arizona, burned more than 15,000 acres on the east side of San Francisco Mountain from June 20 to July 3. As a result, several drainages in the burn area are now more susceptible to increased frequency and volume of runoff, and downstream areas are more susceptible to flooding. Resultant flooding in areas downgradient of the burn has resulted in extensive damage to private lands and residences, municipal water lines, and roads. Coconino County, which encompasses Flagstaff, has responded by deepening and expanding a system of roadside ditches to move flood water away from communities and into an area of open U.S. Forest Service lands, known as Cinder Lake, where rapid infiltration can occur. Water that has been recently channeled into the Cinder Lake area has infiltrated into the volcanic cinders and could eventually migrate to the deep regional groundwater-flow system that underlies the area. How much water can potentially be diverted into Cinder Lake is unknown, and Coconino County is interested in determining how much storage is available. The U.S. Geological Survey conducted geophysical surveys and drilled four boreholes to determine the depth of the cinder beds and their potential for water storage capacity. Results from the geophysical surveys and boreholes indicate that interbedded cinders and alluvial deposits are underlain by basalt at about 30 feet below land surface. An average total porosity for the upper 30 feet of deposits was calculated at 43 percent for an area of 300 acres surrounding the boreholes, which yields a total potential subsurface storage for Cinder Lake of about 4,000 acre-feet. Ongoing monitoring of storage change in the Cinder Lake area was initiated using a network of gravity stations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121018","collaboration":"Prepared in cooperation with Coconino County, Arizona, and the U.S. Forest Service","usgsCitation":"Macy, J.P., Amoroso, L., Kennedy, J., and Unema, J., 2012, Depth of cinder deposits and water-storage capacity at Cinder Lake, Coconino County, Arizona: U.S. Geological Survey Open-File Report 2012-1018, iv; 20 p., https://doi.org/10.3133/ofr20121018.","productDescription":"iv; 20 p.","numberOfPages":"26","onlineOnly":"Y","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":259965,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012-1018.gif"},{"id":259961,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1018/","linkFileType":{"id":5,"text":"html"}},{"id":259962,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1018/of2012-1018.pdf","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Universal Transverse Mercator Projection Zone 11 North","datum":"North American Datum 1983","country":"United States","state":"Arizona","county":"Coconino County","city":"Flagstaff","otherGeospatial":"Cinder Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.66666666666667,35.25 ], [ -111.66666666666667,35.5 ], [ -111.33333333333333,35.5 ], [ -111.33333333333333,35.25 ], [ -111.66666666666667,35.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fed0e4b0c8380cd4ef42","contributors":{"authors":[{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amoroso, Lee lamoroso@usgs.gov","contributorId":3069,"corporation":false,"usgs":true,"family":"Amoroso","given":"Lee","email":"lamoroso@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":466866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Jeff","contributorId":76986,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":466868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Unema, Joel","contributorId":45171,"corporation":false,"usgs":true,"family":"Unema","given":"Joel","affiliations":[],"preferred":false,"id":466867,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039747,"text":"ofr20121142 - 2012 - Water-quality data from Upper Klamath and Agency Lakes, Oregon, 2009-10","interactions":[],"lastModifiedDate":"2018-01-24T16:46:57","indexId":"ofr20121142","displayToPublicDate":"2012-08-28T00:00:00","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":"2012-1142","title":"Water-quality data from Upper Klamath and Agency Lakes, Oregon, 2009-10","docAbstract":"The U.S. Geological Survey Upper Klamath Lake water-quality monitoring program collected data from multiparameter continuous water-quality monitors, weekly water-quality samples, and meteorological stations during 2009 and 2010 from May through November each year. The results of these measurements and sample analyses, as well as quality-control data for the water-quality samples, are presented in this report for 14 sites on Upper Klamath Lake and 2 sites on Agency Lake. These 2 years of data demonstrate a contrast in the seasonal bloom of the dominant cyanobacterium, <i>Aphanizomenon flos-aquae</i>, that can be related to differences in the measured water quality and meteorological variables. Some of the significant findings from 2009 and 2010 are listed below. * Both 2009 and 2010 were characterized by two cyanobacteria blooms, but the blooms differed in timing and intensity. The first bloom in 2009 peaked in late June and at higher chlorophyll a concentrations at most sites than the first bloom in 2010, which peaked in mid-July. A major decline in the first 2009 bloom occurred in late July and was followed by a second bloom that peaked at most sites in mid-August and persisted through September. The decline of the weaker first bloom in 2010 occurred in early August and was followed by a more substantial second bloom that peaked between late August and early September at most sites. * Dissolved oxygen minima associated with bloom declines occurred approximately 2 weeks earlier in 2009 (mid-July) than in 2010 (early August). pH maxima associated with rapid bloom growth occurred in late June and again in mid-August in 2009 and in mid-July and late August in 2010. * In both years, the maxima for total phosphorus and total nitrogen concentrations coincided with the chlorophyll a maximum. The maxima for dissolved nutrient concentrations (orthophosphate, ammonia, and nitrite plus nitrate) coincided with the declines of the first blooms. * Total particulate carbon, total particulate nitrogen, and total particulate phosphorus concentrations were measured in 2009 only. The ratios of carbon to phosphorus and nitrogen to phosphorus in particulates were the highest of the entire season during the rapid growth phase of the first bloom and were the lowest of the season during the decline of the first bloom. These ratios increased with the onset of the second bloom in that year, but to a lesser degree. * Meteorological data show that 2009 was warmer (particularly in June and July), less windy, and more humid early in the season than 2010. The difference in water temperatures reflected the difference in air temperatures in that the lakes were warmer in 2009 than in 2010 starting in early May, when the sensors were deployed, through most of June. Water temperature peaked at a higher value in 2009, and there were more clear days in June 2009 than in June 2010.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121142","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Eldridge, D.B., Caldwell Eldridge, S.L., Schenk, L.N., Tanner, D.Q., and Wood, T.M., 2012, Water-quality data from Upper Klamath and Agency Lakes, Oregon, 2009-10: U.S. Geological Survey Open-File Report 2012-1142, Report: vi; 32 p.; Appendixes, https://doi.org/10.3133/ofr20121142.","productDescription":"Report: vi; 32 p.; Appendixes","numberOfPages":"42","additionalOnlineFiles":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":259967,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012-1142.jpg"},{"id":350590,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1142/data/ofr20121142_appendixes.zip","text":"Appendixes","linkFileType":{"id":3,"text":"xlsx"}},{"id":259959,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1142/","linkFileType":{"id":5,"text":"html"}},{"id":259960,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1142/pdf/ofr20121142.pdf","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Universal Transverse Mercator, Zone 10 North","datum":"North American Datum of 1927","country":"United States","state":"Oregon","otherGeospatial":"Agency Lake, Upper Klamath Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.16666666666667,42.083333333333336 ], [ -122.16666666666667,42.666666666666664 ], [ -121.66666666666667,42.666666666666664 ], [ -121.66666666666667,42.083333333333336 ], [ -122.16666666666667,42.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bce15e4b08c986b32e1fc","contributors":{"authors":[{"text":"Eldridge, D. Blake","contributorId":40466,"corporation":false,"usgs":true,"family":"Eldridge","given":"D.","email":"","middleInitial":"Blake","affiliations":[],"preferred":false,"id":466862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell Eldridge, Sara L. 0000-0001-8838-8940 seldridge@usgs.gov","orcid":"https://orcid.org/0000-0001-8838-8940","contributorId":64502,"corporation":false,"usgs":true,"family":"Caldwell Eldridge","given":"Sara","email":"seldridge@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":466863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schenk, Liam N. 0000-0002-2491-0813 lschenk@usgs.gov","orcid":"https://orcid.org/0000-0002-2491-0813","contributorId":4273,"corporation":false,"usgs":true,"family":"Schenk","given":"Liam","email":"lschenk@usgs.gov","middleInitial":"N.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tanner, Dwight Q.","contributorId":93452,"corporation":false,"usgs":true,"family":"Tanner","given":"Dwight","email":"","middleInitial":"Q.","affiliations":[],"preferred":false,"id":466864,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wood, Tamara M. 0000-0001-6057-8080 tmwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6057-8080","contributorId":1164,"corporation":false,"usgs":true,"family":"Wood","given":"Tamara","email":"tmwood@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466860,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039749,"text":"sir20125149 - 2012 - Anticipated effects of development on habitat fragmentation and movement of mammals into and out of the Schoodic District, Acadia National Park, Maine","interactions":[],"lastModifiedDate":"2012-08-29T01:01:53","indexId":"sir20125149","displayToPublicDate":"2012-08-28T00:00:00","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":"2012-5149","title":"Anticipated effects of development on habitat fragmentation and movement of mammals into and out of the Schoodic District, Acadia National Park, Maine","docAbstract":"Most national parks interact with adjacent lands because their boundaries fail to encompass all regional habitats, species pools, and migration routes. Activities planned for adjacent lands can have adverse effects on park resources and visitor experiences. For example, fragmentation of adjacent habitat into smaller and more isolated remnants may influence the suitability of park habitat for a wide range of species and limit animal dispersal pathways, which may influence visitor experiences and park resources as well as the energy balance and population dynamics of the animals themselves. In this study, we examined habitat fragmentation consequences owing to a planned 1,295 hectare development by Winter Harbor Holding Company (WHHC) adjacent to the Schoodic District of Acadia National Park (ANP), Maine. Specifically, we examined the effects of development on (a) core natural habitat area (a cross-habitat indicator of fragmentation), (b) the suitability of habitat for bobcat, fisher, mink, and moose, and (c) the movement of these four species between ANP and other nearby protected areas (species specific indicators of fragmentation). Our intention was to assist ANP staff in forecasting both the general and specific effects of development on natural habitat area, habitat suitability, and animal movement, which would allow them to develop suitable management alternatives.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125149","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Rohweder, J., De Jager, N.R., and Guntenspergen, G.R., 2012, Anticipated effects of development on habitat fragmentation and movement of mammals into and out of the Schoodic District, Acadia National Park, Maine: U.S. Geological Survey Scientific Investigations Report 2012-5149, vi, 30 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125149.","productDescription":"vi, 30 p.; col. ill.; maps (col.)","startPage":"i","endPage":"30","numberOfPages":"40","additionalOnlineFiles":"N","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":259968,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5149.jpg"},{"id":259964,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5149/pdf/sir2012-5149_web.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259963,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5149/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Maine","otherGeospatial":"Schoodic District;Acadia National Park","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ec61e4b0c8380cd49238","contributors":{"authors":[{"text":"Rohweder, Jason J.","contributorId":25629,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason J.","affiliations":[],"preferred":false,"id":466870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Jager, Nathan R. 0000-0002-6649-4125","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":104616,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":466871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":466869,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039722,"text":"sir20125083 - 2012 - Occurrence and potential transport of selected pharmaceuticals and other organic wastewater compounds from wastewater-treatment plant influent and effluent to groundwater and canal systems in Miami-Dade County, Florida","interactions":[],"lastModifiedDate":"2012-08-29T01:01:53","indexId":"sir20125083","displayToPublicDate":"2012-08-28T00:00:00","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":"2012-5083","title":"Occurrence and potential transport of selected pharmaceuticals and other organic wastewater compounds from wastewater-treatment plant influent and effluent to groundwater and canal systems in Miami-Dade County, Florida","docAbstract":"An increased demand for fresh groundwater resources in South Florida has prompted Miami-Dade County to expand its water reclamation program and actively pursue reuse plans for aquifer recharge, irrigation, and wetland rehydration. The U.S. Geological Survey, in cooperation with the Miami-Dade Water and Sewer Department (WASD) and the Miami-Dade Department of Environmental Resources Management (DERM), initiated a study in 2008 to assess the presence of selected pharmaceuticals and other organic wastewater compounds in the influent and effluent at three regional wastewater-treatment plants (WWTPs) operated by the WASD and at one WWTP operated by the City of Homestead, Florida (HSWWTP).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125083","collaboration":"Prepared in cooperation with the Miami-Dade Water and Sewer Department and the Department of Environmental Resources Management","usgsCitation":"Foster, A.L., Katz, B.G., and Meyer, M.T., 2012, Occurrence and potential transport of selected pharmaceuticals and other organic wastewater compounds from wastewater-treatment plant influent and effluent to groundwater and canal systems in Miami-Dade County, Florida: U.S. Geological Survey Scientific Investigations Report 2012-5083, viii, 64 p.; col. ill.; maps (col.); Appendices; PDF Downloads of Appendices 3 and 4, https://doi.org/10.3133/sir20125083.","productDescription":"viii, 64 p.; col. ill.; maps (col.); Appendices; PDF Downloads of Appendices 3 and 4","startPage":"i","endPage":"64","numberOfPages":"76","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":259956,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5083.jpg"},{"id":259934,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5083/","linkFileType":{"id":5,"text":"html"}},{"id":259935,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5083/pdf/2012-5083.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Florida","county":"Miami-dade County","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6b75e4b0c8380cd746ed","contributors":{"authors":[{"text":"Foster, Adam L.","contributorId":28944,"corporation":false,"usgs":true,"family":"Foster","given":"Adam","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":466813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katz, Brian G. bkatz@usgs.gov","contributorId":1093,"corporation":false,"usgs":true,"family":"Katz","given":"Brian","email":"bkatz@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":466812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":466811,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039726,"text":"fs20123085 - 2012 - Streamflow of 2011 - Water Year Summary","interactions":[],"lastModifiedDate":"2012-08-29T01:01:53","indexId":"fs20123085","displayToPublicDate":"2012-08-28T00:00:00","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":"2012-3085","title":"Streamflow of 2011 - Water Year Summary","docAbstract":"The maps and graph in this summary describe streamflow conditions for water year 2011 (October 1, 2010, to September 30, 2011) in the context of the 82-year period from 1930 through 2011, unless otherwise noted. The illustrations are based on observed data from the U.S. Geological Survey's (USGS) National Streamflow Information Program (http://water.usgs.gov/nsip/). The period 1930-2010 was used because, prior to 1930, the number of streamgages was too small to provide representative data for computing statistics for most regions of the country. In the summary, reference is made to the term \"runoff,\" which is the depth to which a river basin, State, or other geographic area would be covered with water if all the streamflow within the area during a single year was uniformly distributed upon it. Runoff quantifies the magnitude of water flowing through the Nation's rivers and streams in measurement units that can be compared from one area to another. Each of the maps and graphs can be expanded to a larger view by clicking on the image. In all of the graphics, a rank of 1 indicates the highest flow of all years analyzed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123085","usgsCitation":"Jian, X., Wolock, D.M., Lins, H.F., and Brady, S., 2012, Streamflow of 2011 - Water Year Summary: U.S. Geological Survey Fact Sheet 2012-3085, 8 p., https://doi.org/10.3133/fs20123085.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":259954,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3085.gif"},{"id":259936,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3085/","linkFileType":{"id":5,"text":"html"}},{"id":259937,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3085/fs2012-3085.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.58333333333334,13.216666666666667 ], [ 144.58333333333334,71.83333333333333 ], [ -64.25,71.83333333333333 ], [ -64.25,13.216666666666667 ], [ 144.58333333333334,13.216666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9b13e4b08c986b31cc7b","contributors":{"authors":[{"text":"Jian, Xiaodong 0000-0002-9173-3482 xjian@usgs.gov","orcid":"https://orcid.org/0000-0002-9173-3482","contributorId":1282,"corporation":false,"usgs":true,"family":"Jian","given":"Xiaodong","email":"xjian@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":466824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":466823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lins, Harry F. 0000-0001-5385-9247 hlins@usgs.gov","orcid":"https://orcid.org/0000-0001-5385-9247","contributorId":1505,"corporation":false,"usgs":true,"family":"Lins","given":"Harry","email":"hlins@usgs.gov","middleInitial":"F.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":466825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brady, Steve","contributorId":108351,"corporation":false,"usgs":true,"family":"Brady","given":"Steve","email":"","affiliations":[],"preferred":false,"id":466826,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039719,"text":"sim3225 - 2012 - California State Waters Map Series — Hueneme Canyon and vicinity, California","interactions":[],"lastModifiedDate":"2022-04-15T20:53:13.037763","indexId":"sim3225","displayToPublicDate":"2012-08-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3225","subseriesTitle":"California State Waters Map Series","title":"California State Waters Map Series — Hueneme Canyon and vicinity, California","docAbstract":"In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California's State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. The Hueneme Canyon and vicinity map area lies within the eastern Santa Barbara Channel region of the Southern California Bight. The area is part of the Western Transverse Ranges geologic province, which is north of the California Continental Borderland. Significant clockwise rotation - at least 90&deg; - since the early Miocene has been proposed for the Western Transverse Ranges, and the region is presently undergoing north-south shortening. This geologically complex region forms a major biogeographic transition zone, separating the cold-temperate Oregonian province north of Point Conception from the warm-temperate California province to the south. The map area, which is offshore of the Oxnard plain and west of and along the trend of the south flank of the Santa Monica Mountains, lies at the east end of the Santa Barbara littoral cell, characterized by west-to-east littoral transport of sediment derived mainly from coastal watersheds. The Hueneme Canyon and vicinity map area in California's State Waters is characterized by two major physiographic features: (1) the nearshore continental shelf, and (2) the Hueneme and Mugu Submarine Canyon system, which, in the map area, includes Hueneme Canyon and parts of three smaller, unnamed headless canyons incised into the shelf southeast of Hueneme Canyon. The shelf is underlain by tens of meters of interbedded upper Quaternary shelf, estuarine, and fluvial deposits that formed as sea level fluctuated in the last several hundred thousand years. Hueneme Canyon extends about 15 km offshore from its canyon head near the dredged navigation channel of the Port of Hueneme. The canyon is relatively deep (about 150 m at the California's State Waters limit) and steep (canyon flanks as steep as 25&deg; to 30&deg;). Historically, Hueneme Canyon functioned as the eastern termination of the Santa Barbara littoral cell by trapping all eastward littoral drift, not only feeding the large Hueneme submarine fan but acting as the major conduit of sediment to the deep Santa Monica Basin; however, recent dredging programs needed to maintain Channel Islands Harbor and the Port of Hueneme have moved the nearshore sediment trapped by jetties and breakwaters to an area southeast of the Hueneme Canyon head. Seafloor habitats in the broad Santa Barbara Channel region consist of significant amounts of soft sediment and isolated areas of rocky habitat that support kelp-forest communities nearshore and rocky-reef communities in deep water. The potential marine benthic habitat types mapped in the Hueneme Canyon and vicinity map area are related directly to the geomorphology and sedimentary processes that are the result of its Quaternary geologic history. The two basic megahabitats in the map area are Shelf (continental shelf) and Flank (continental slope). The flat seafloor of the continental shelf in the Hueneme Canyon and vicinity map area is dynamic, as indicated by mobile sand sheets and coarser grained scour depressions. The active Hueneme Canyon provides considerable relief to the continental shelf in the map area, and its irregular morphology of eroded walls, landslide scarps, and deposits and gullies provide promising habitat for groundfish, crabs, shrimp, and other marine benthic organisms. Most invertebrates observed in the map area during camera ground-truth field operations are found on the edge of Hueneme Canyon, which may be an important area of recruitment and retention to other invertebrates and fishes. The smaller, more subtle, nonactive headless canyons located primarily on the continental slope also offer relief that provides habitat for groundfish and other organisms.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3225","collaboration":"California Seafloor Mapping Program","usgsCitation":"Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N., Phillips, E., Ritchie, A.C., Kvitek, R.G., Greene, H., Krigsman, L., Endris, C.A., Clahan, K.B., Sliter, R.W., Wong, F.L., Yoklavich, M.M., and Normark, W.R., 2012, California State Waters Map Series — Hueneme Canyon and vicinity, California: U.S. Geological Survey Scientific Investigations Map 3225, Report: iv, 41 p.; 12 Sheets: 53.00 × 36.00 inches or smaller; Metadata; Data Catalog, https://doi.org/10.3133/sim3225.","productDescription":"Report: iv, 41 p.; 12 Sheets: 53.00 × 36.00 inches or smaller; Metadata; Data 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aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466801,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kvitek, Rikk G.","contributorId":107804,"corporation":false,"usgs":true,"family":"Kvitek","given":"Rikk","email":"","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":466810,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Greene, H. Gary","contributorId":87983,"corporation":false,"usgs":true,"family":"Greene","given":"H. Gary","affiliations":[],"preferred":false,"id":466807,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Krigsman, Lisa M.","contributorId":43642,"corporation":false,"usgs":true,"family":"Krigsman","given":"Lisa M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":466802,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Endris, Charles A.","contributorId":87824,"corporation":false,"usgs":true,"family":"Endris","given":"Charles","email":"","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":466806,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clahan, Kevin B.","contributorId":79370,"corporation":false,"usgs":true,"family":"Clahan","given":"Kevin","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":466805,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sliter, Ray W. 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":1992,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466797,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466796,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Yoklavich, Mary M.","contributorId":96167,"corporation":false,"usgs":true,"family":"Yoklavich","given":"Mary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":466808,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Normark, William R.","contributorId":69570,"corporation":false,"usgs":true,"family":"Normark","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":466804,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70039725,"text":"tm6A40 - 2012 - Documentation of the Surface-Water Routing (SWR1) Process for modeling surface-water flow with the U.S. Geological Survey Modular Ground-Water Model (MODFLOW-2005)","interactions":[],"lastModifiedDate":"2012-09-05T01:01:46","indexId":"tm6A40","displayToPublicDate":"2012-08-27T00:00:00","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":"6-A40","title":"Documentation of the Surface-Water Routing (SWR1) Process for modeling surface-water flow with the U.S. Geological Survey Modular Ground-Water Model (MODFLOW-2005)","docAbstract":"A flexible Surface-Water Routing (SWR1) Process that solves the continuity equation for one-dimensional and two-dimensional surface-water flow routing has been developed for the U.S. Geological Survey three-dimensional groundwater model, MODFLOW-2005. Simple level- and tilted-pool reservoir routing and a diffusive-wave approximation of the Saint-Venant equations have been implemented. Both methods can be implemented in the same model and the solution method can be simplified to represent constant-stage elements that are functionally equivalent to the standard MODFLOW River or Drain Package boundary conditions. A generic approach has been used to represent surface-water features (reaches) and allows implementation of a variety of geometric forms. One-dimensional geometric forms include rectangular, trapezoidal, and irregular cross section reaches to simulate one-dimensional surface-water features, such as canals and streams. Two-dimensional geometric forms include reaches defined using specified stage-volume-area-perimeter (SVAP) tables and reaches covering entire finite-difference grid cells to simulate two-dimensional surface-water features, such as wetlands and lakes. Specified SVAP tables can be used to represent reaches that are smaller than the finite-difference grid cell (for example, isolated lakes), or reaches that cannot be represented accurately using the defined top of the model. Specified lateral flows (which can represent point and distributed flows) and stage-dependent rainfall and evaporation can be applied to each reach. The SWR1 Process can be used with the MODFLOW Unsaturated Zone Flow (UZF1) Package to permit dynamic simulation of runoff from the land surface to specified reaches. Surface-water/groundwater interactions in the SWR1 Process are mathematically defined to be a function of the difference between simulated stages and groundwater levels, and the specific form of the reach conductance equation used in each reach. Conductance can be specified directly or calculated as a function of the simulated wetted perimeter and defined reach bed hydraulic properties, or as a weighted combination of both reach bed hydraulic properties and horizontal hydraulic conductivity. Each reach can be explicitly coupled to a single specific groundwater-model layer or coupled to multiple groundwater-model layers based on the reach geometry and groundwater-model layer elevations in the row and column containing the reach. Surface-water flow between reservoirs is simulated using control structures. Surface-water flow between reaches, simulated by the diffusive-wave approximation, can also be simulated using control structures. A variety of control structures have been included in the SWR1 Process and include (1) excess-volume structures, (2) uncontrolled-discharge structures, (3) pumps, (4) defined stage-discharge relations, (5) culverts, (6) fixed- or movable-crest weirs, and (7) fixed or operable gated spillways. Multiple control structures can be implemented in individual reaches and are treated as composite flow structures. Solution of the continuity equation at the reach-group scale (a single reach or a user-defined collection of individual reaches) is achieved using exact Newton methods with direct solution methods or exact and inexact Newton methods with Krylov sub-space methods. Newton methods have been used in the SWR1 Process because of their ability to solve nonlinear problems. Multiple SWR1 time steps can be simulated for each MODFLOW time step, and a simple adaptive time-step algorithm, based on user-specified rainfall, stage, flow, or convergence constraints, has been implemented to better resolve surface-water response. A simple linear- or sigmoid-depth scaling approach also has been implemented to account for increased bed roughness at small surface-water depths and to increase numerical stability. A line-search algorithm also has been included to improve the quality of the Newton-step upgrade vector, if possible. The SWR1 Process has been benchmarked against one- and two-dimensional numerical solutions from existing one- and two-dimensional numerical codes that solve the dynamic-wave approximation of the Saint-Venant equations. Two-dimensional solutions test the ability of the SWR1 Process to simulate the response of a surface-water system to (1) steady flow conditions for an inclined surface (solution of Manning's equation), and (2) transient inflow and rainfall for an inclined surface. The one-dimensional solution tests the ability of the SWR1 Process to simulate a looped network with multiple upstream inflows and several control structures. The SWR1 Process also has been compared to a level-pool reservoir solution. A synthetic test problem was developed to evaluate a number of different SWR1 solution options and simulate surface-water/groundwater interaction. The solution approach used in the SWR1 Process may not be applicable for all surface-water/groundwater problems. The SWR1 Process is best suited for modeling long-term changes (days to years) in surface-water and groundwater flow. Use of the SWR1 Process is not recommended for modeling the transient exchange of water between streams and aquifers when local and convective acceleration and other secondary effects (for example, wind and Coriolis forces) are substantial. Dam break evaluations and two-dimensional evaluations of spatially extensive domains are examples where acceleration terms and secondary effects would be significant, respectively.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A40","collaboration":"Prepared in cooperation with the Miami-Dade Water and Sewer Department","usgsCitation":"Hughes, J.D., Langevin, C.D., Chartier, K.L., and White, J., 2012, Documentation of the Surface-Water Routing (SWR1) Process for modeling surface-water flow with the U.S. Geological Survey Modular Ground-Water Model (MODFLOW-2005): U.S. Geological Survey Techniques and Methods 6-A40, x, 113 p.; col. ill.; map (col.), https://doi.org/10.3133/tm6A40.","productDescription":"x, 113 p.; col. ill.; map (col.)","startPage":"i","endPage":"113","numberOfPages":"128","additionalOnlineFiles":"N","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":259952,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_6_A40.gif"},{"id":259949,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/6a40/pdf/Hughes_TM6-A40.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259948,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/6a40/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0385e4b0c8380cd504fb","contributors":{"authors":[{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":466820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":466819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chartier, Kevin L.","contributorId":10275,"corporation":false,"usgs":true,"family":"Chartier","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":466822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, Jeremy T. jwhite@usgs.gov","contributorId":3930,"corporation":false,"usgs":true,"family":"White","given":"Jeremy T.","email":"jwhite@usgs.gov","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":false,"id":466821,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039727,"text":"sir20125127 - 2012 - Hydrogeology of the stratified-drift aquifers in the Cayuta Creek and Catatonk Creek valleys in parts of Tompkins, Schuyler, Chemung, and Tioga Counties, New York","interactions":[],"lastModifiedDate":"2012-08-28T15:37:51","indexId":"sir20125127","displayToPublicDate":"2012-08-27T00:00:00","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":"2012-5127","title":"Hydrogeology of the stratified-drift aquifers in the Cayuta Creek and Catatonk Creek valleys in parts of Tompkins, Schuyler, Chemung, and Tioga Counties, New York","docAbstract":"The surficial deposits, areal extent of aquifers, and the water-table configurations of the stratified-drift aquifer systems in the Cayuta Creek and Catatonk Creek valleys and their large tributary valleys in Tompkins, Schuyler, Chemung, and Tioga Counties, New York were mapped in 2009, in cooperation with the New York State Department of Environmental Conservation. Well and test-boring records, surficial deposit maps, Light Detection and Ranging (LIDAR) data, soils maps, and horizontal-to-vertical ambient-noise seismic surveys were used to map the extent of the aquifers, construct geologic sections, and determine the depth to bedrock (thickness of valley-fill deposits) at selected locations. Geologic materials in the study area include sedimentary bedrock, unstratified drift (till), stratified drift (glaciolacustrine and glaciofluvial deposits), and recent alluvium. Stratified drift consisting of glaciofluvial sand and gravel is the major component of the valley fill in this study area. The deposits are present in sufficient amounts in most places to form extensive unconfined aquifers throughout the study area and, in some places, confined aquifers. Stratified drift consisting of glaciolacustrine fine sand, silt, and clay are present locally in valleys underlying the surficial sand and gravel deposits in the southern part of the Catatonk Creek valley. These unconfined and confined aquifers are the source of water for most residents, farms, and businesses in the valleys. A generalized depiction of the water table in the unconfined aquifer was constructed using water-level measurements made from the 1950s through 2010, as well as LIDAR data that were used to determine the altitudes of perennial streams at 10-foot contour intervals and water surfaces of ponds and wetlands that are hydraulically connected to the unconfined aquifer. The configuration of the water-table contours indicate that the general direction of groundwater flow within Cayuta Creek and Catatonk Creek stratified-drift aquifers is predominantly from the valley walls toward the main streams in the valleys. The groundwater discharges from the aquifer system to the main-stem streams in the valleys. Locally, the direction of groundwater flow is radially away from groundwater mounds that have formed beneath upland tributaries that typically lose water where they flow on alluvial fans in the valleys. In some places, groundwater that would normally flow toward streams is intercepted by pumping wells.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125127","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Miller, T.S., and Pitman, L.M., 2012, Hydrogeology of the stratified-drift aquifers in the Cayuta Creek and Catatonk Creek valleys in parts of Tompkins, Schuyler, Chemung, and Tioga Counties, New York: U.S. Geological Survey Scientific Investigations Report 2012-5127, vi, 44 p.; 3 Plates; Plate 1: 27 x 31 inches, Plate 2: 32 x 31 inches, Plate 3: 28 x 31 inches, https://doi.org/10.3133/sir20125127.","productDescription":"vi, 44 p.; 3 Plates; Plate 1: 27 x 31 inches, Plate 2: 32 x 31 inches, Plate 3: 28 x 31 inches","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":259950,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5127.gif"},{"id":259941,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5127/","linkFileType":{"id":5,"text":"html"}},{"id":259942,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5127/pdf/sir2012-5127_miller_cayuta_508.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259943,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5127/plates_final_pdfs/reduced_file_size/sir2012-5127_miller_plate01_webviewingonly.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259944,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5127/plates_final_pdfs/reduced_file_size/sir2012-5127_miller_plate02_webviewingonly.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259945,"rank":402,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5127/plates_final_pdfs/reduced_file_size/sir2012-5127_miller_plate03_webviewingonly.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator projection, Zone 18 North","datum":"North American Datum 1983","country":"United States","state":"New York","county":"Chemung;Schuyler;Tioga;Tompkins","otherGeospatial":"Catatonk Creek;Cayuga Creek;Owego Creek Basin;St. Lawrence River Basin;Susquehanna River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.75,41.916666666666664 ], [ -76.75,42.416666666666664 ], [ -76.25,42.416666666666664 ], [ -76.25,41.916666666666664 ], [ -76.75,41.916666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a34c6e4b0c8380cd5fa11","contributors":{"authors":[{"text":"Miller, Todd S. tsmiller@usgs.gov","contributorId":1190,"corporation":false,"usgs":true,"family":"Miller","given":"Todd","email":"tsmiller@usgs.gov","middleInitial":"S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitman, Lacey M.","contributorId":60899,"corporation":false,"usgs":true,"family":"Pitman","given":"Lacey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":466828,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039704,"text":"ds639 - 2012 - Synoptic water-level measurements of the Upper Floridan aquifer in Florida and parts of Georgia, South Carolina, and Alabama, May-June 2010","interactions":[],"lastModifiedDate":"2016-12-02T11:53:12","indexId":"ds639","displayToPublicDate":"2012-08-27T00:00:00","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":"639","title":"Synoptic water-level measurements of the Upper Floridan aquifer in Florida and parts of Georgia, South Carolina, and Alabama, May-June 2010","docAbstract":"Water levels for the Upper Floridan aquifer were measured throughout Florida and in parts of Georgia, South Carolina, and Alabama in May-June 2010. These measurements were compiled for the U.S. Geological Survey (USGS) Floridan Aquifer System Groundwater Availability Study and conducted as part of the USGS Groundwater Resources Program. Data were collected by personnel from the USGS Florida Water Science Center, Georgia Water Science Center, South Carolina Water Science Center and several state and county agencies in Florida, Georgia, South Carolina, and Alabama using standard techniques. Data collected by USGS personnel are stored in the USGS National Water Information System (NWIS), Groundwater Site-Inventory System (GWSI). 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 \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571f3fe7e4b071321fe56a95","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":128037,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":627609,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039691,"text":"70039691 - 2012 - Dealing with uncertainty when assessing fish passage through culvert road crossings","interactions":[],"lastModifiedDate":"2012-08-24T01:02:05","indexId":"70039691","displayToPublicDate":"2012-08-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Dealing with uncertainty when assessing fish passage through culvert road crossings","docAbstract":"Assessing the passage of aquatic organisms through culvert road crossings has become increasingly common in efforts to restore stream habitat. Several federal and state agencies and local stakeholders have adopted assessment approaches based on literature-derived criteria for culvert impassability. However, criteria differ and are typically specific to larger-bodied fishes. In an analysis to prioritize culverts for remediation to benefit imperiled, small-bodied fishes in the Upper Coosa River system in the southeastern United States, we assessed the sensitivity of prioritization to the use of differing but plausible criteria for culvert impassability. Using measurements at 256 road crossings, we assessed culvert impassability using four alternative criteria sets represented in Bayesian belief networks. Two criteria sets scored culverts as either passable or impassable based on alternative thresholds of culvert characteristics (outlet elevation, baseflow water velocity). Two additional criteria sets incorporated uncertainty concerning ability of small-bodied fishes to pass through culverts and estimated a probability of culvert impassability. To prioritize culverts for remediation, we combined estimated culvert impassability with culvert position in the stream network relative to other barriers to compute prospective gain in connected stream habitat for the target fish species. Although four culverts ranked highly for remediation regardless of which criteria were used to assess impassability, other culverts differed widely in priority depending on criteria. Our results emphasize the value of explicitly incorporating uncertainty into criteria underlying remediation decisions. Comparing outcomes among alternative, plausible criteria may also help to identify research most needed to narrow management uncertainty.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00267-012-9886-6","usgsCitation":"Anderson, G.B., Freeman, M., Freeman, B.J., Straight, C.A., Hagler, M.M., and Peterson, J., 2012, Dealing with uncertainty when assessing fish passage through culvert road crossings: Environmental Management, v. 50, no. 3, p. 462-477, https://doi.org/10.1007/s00267-012-9886-6.","productDescription":"16 p.","startPage":"462","endPage":"477","numberOfPages":"16","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":259818,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259793,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-012-9886-6","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-06-29","publicationStatus":"PW","scienceBaseUri":"5059fdebe4b0c8380cd4e9f5","contributors":{"authors":[{"text":"Anderson, Gregory B.","contributorId":65988,"corporation":false,"usgs":true,"family":"Anderson","given":"Gregory","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":466747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":466744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Byron J.","contributorId":49782,"corporation":false,"usgs":false,"family":"Freeman","given":"Byron","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":466746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Straight, Carrie A.","contributorId":31247,"corporation":false,"usgs":false,"family":"Straight","given":"Carrie","email":"","middleInitial":"A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":466745,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hagler, Megan M.","contributorId":88875,"corporation":false,"usgs":true,"family":"Hagler","given":"Megan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":466748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":466743,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039678,"text":"70039678 - 2012 - Overpressure and hydrocarbon accumulations in Tertiary strata, Gulf Coast of Louisiana","interactions":[],"lastModifiedDate":"2012-08-24T01:02:05","indexId":"70039678","displayToPublicDate":"2012-08-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3365,"text":"Search and Discovery","active":true,"publicationSubtype":{"id":10}},"title":"Overpressure and hydrocarbon accumulations in Tertiary strata, Gulf Coast of Louisiana","docAbstract":"Many oil and gas reservoirs in Tertiary strata of southern Louisiana are located close to the interface between a sand-rich, normally pressured sequence and an underlying sand-poor, overpressured sequence. This association, recognized for many years by Gulf Coast explorationists, is revisited here because of its relevance to an assessment of undiscovered oil and gas potential in the Gulf Coast of Louisiana. The transition from normally pressured to highly overpressured sediments is documented by converting mud weights to pressure, plotting all pressure data from an individual field as a function of depth, and selecting a top and base of the pressure transition zone. Vertical extents of pressure transition zones in 34 fields across southern onshore Louisiana range from 300 to 9000 ft and are greatest in younger strata and in the larger fields. Display of pressure transition zones on geologic cross sections illustrates the relative independence of the depth of the pressure transition zone and geologic age. Comparison of the depth distribution of pressure transition zones with production intervals confirms previous findings that production intervals generally overlap the pressure transition zone in depth and that the median production depth lies above the base of the pressure transition zone in most fields. However, in 11 of 55 fields with deep drilling, substantial amounts of oil and gas have been produced from depths deeper than 2000 ft below the base of the pressure transition zone. Mud-weight data in 7 fields show that \"local\" pressure gradients range from 0.91 to 1.26 psi/ft below the base of the pressure transition zone. Pressure gradients are higher and computed effective stress gradients are negative in younger strata in coastal areas, indicating that a greater potential for fluid and sediment movement exists there than in older Tertiary strata.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Search and Discovery","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Association of Petroleum Geologists","publisherLocation":"Tulsa, OK","usgsCitation":"Nelson, P.H., 2012, Overpressure and hydrocarbon accumulations in Tertiary strata, Gulf Coast of Louisiana: Search and Discovery, v. August 2012, 33 p.; Article 41000; col. ill.; maps (col.).","productDescription":"33 p.; Article 41000; col. ill.; maps (col.)","numberOfPages":"39","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":259810,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259791,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.searchanddiscovery.com/documents/2012/41000nelson/ndx_nelson.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Gulf Coast","volume":"August 2012","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a71dde4b0c8380cd767e2","contributors":{"authors":[{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":466710,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039690,"text":"70039690 - 2012 - Habitat fragmentation effects on annual survival of the federally protected eastern indigo snake","interactions":[],"lastModifiedDate":"2016-12-14T10:33:17","indexId":"70039690","displayToPublicDate":"2012-08-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Habitat fragmentation effects on annual survival of the federally protected eastern indigo snake","docAbstract":"The eastern indigo snake (Drymarchon couperi) is a federally listed species, most recently threatened by habitat loss and habitat degradation. In an effort to estimate snake survival, a total of 103 individuals (59 males, 44 females) were followed using radio-tracking from January 1998 to March 2004 in three landscape types that had increasing levels of habitat fragmentation: (1) conservation cores; (2) conservation areas along highways; (3) suburbs. Because of a large number of radio-tracking locations underground for which the state of snakes (i.e. alive or dead) could not be assessed, we employed a multistate approach to model snake apparent survival and encounter probability of live and dead snakes. We predicted that male snakes in suburbs would have the lowest annual survival. We found a transmitter implantation effect on snake encounter probability, as snakes implanted on a given occasion had a lower encounter probability on the next visit compared with snakes not implanted on the previous occasion. Our results indicated that adult eastern indigo snakes have relatively high survival in conservation core areas, but greatly reduced survival in conservation areas along highways and in suburbs. These findings indicate that habitat fragmentation is likely to be the critical factor for species' persistence.","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1469-1795.2012.00524.x","usgsCitation":"Breininger, D., Mazerolle, M., Bolt, M., Legare, M., Drese, J., and Hines, J., 2012, Habitat fragmentation effects on annual survival of the federally protected eastern indigo snake: Animal Conservation, v. 15, no. 4, p. 361-368, https://doi.org/10.1111/j.1469-1795.2012.00524.x.","productDescription":"8 p.","startPage":"361","endPage":"368","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":259817,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259796,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1469-1795.2012.00524.x","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-04-02","publicationStatus":"PW","scienceBaseUri":"505a2f0ce4b0c8380cd5ca35","contributors":{"authors":[{"text":"Breininger, D.R.","contributorId":62856,"corporation":false,"usgs":true,"family":"Breininger","given":"D.R.","affiliations":[],"preferred":false,"id":466742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mazerolle, M. J. 0000-0002-0486-0310","orcid":"https://orcid.org/0000-0002-0486-0310","contributorId":12957,"corporation":false,"usgs":true,"family":"Mazerolle","given":"M. J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":466737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bolt, M.R.","contributorId":25403,"corporation":false,"usgs":true,"family":"Bolt","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":466739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Legare, M.L.","contributorId":15317,"corporation":false,"usgs":true,"family":"Legare","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":466738,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drese, J.H.","contributorId":56900,"corporation":false,"usgs":true,"family":"Drese","given":"J.H.","email":"","affiliations":[],"preferred":false,"id":466741,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hines, J.E. 0000-0001-5478-7230","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":36885,"corporation":false,"usgs":true,"family":"Hines","given":"J.E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":466740,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039692,"text":"70039692 - 2012 - Consumption of bird eggs by invasive Burmese Pythons in Florida","interactions":[],"lastModifiedDate":"2012-08-24T01:02:05","indexId":"70039692","displayToPublicDate":"2012-08-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1952,"text":"IRFC Reptiles & Amphibians","active":true,"publicationSubtype":{"id":10}},"title":"Consumption of bird eggs by invasive Burmese Pythons in Florida","docAbstract":"Burmese Pythons (Python molurus bivittatus or P. bivittatus) have been reported to consume 25 species of adult birds in Everglades National Park, Florida (Dove et al. 2011), but until now no records documented this species eating bird eggs. Here we report three recent cases of bird-egg consumption by Burmese Pythons and discuss egg-eating in basal snakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IRFC Reptiles & Amphibians","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IRFC","publisherLocation":"http://www.ircf.org/","usgsCitation":"Dove, C.J., Reed, R., and Snow, R.W., 2012, Consumption of bird eggs by invasive Burmese Pythons in Florida: IRFC Reptiles & Amphibians, v. 19, no. 1, p. 64-66.","productDescription":"3 p.","startPage":"64","endPage":"66","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":259811,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259797,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.ircf.org/journal/wp-content/uploads/2012/04/RA_19.1_64-66_IntroSpec3-Dove_print.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Florida","volume":"19","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fa26e4b0c8380cd4d965","contributors":{"authors":[{"text":"Dove, Carla J.","contributorId":98577,"corporation":false,"usgs":true,"family":"Dove","given":"Carla","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Robert N.","contributorId":10115,"corporation":false,"usgs":true,"family":"Reed","given":"Robert N.","affiliations":[],"preferred":false,"id":466749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snow, Ray W.","contributorId":76449,"corporation":false,"usgs":false,"family":"Snow","given":"Ray","email":"","middleInitial":"W.","affiliations":[{"id":13415,"text":"Everglades National Park","active":true,"usgs":false}],"preferred":false,"id":466750,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039696,"text":"sir20125165 - 2012 - Potentiometric surface and water-level difference maps of selected confined aquifers of Southern Maryland and Maryland's Eastern Shore, 1975-2011","interactions":[],"lastModifiedDate":"2023-03-09T20:18:10.940749","indexId":"sir20125165","displayToPublicDate":"2012-08-23T00:00:00","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":"2012-5165","title":"Potentiometric surface and water-level difference maps of selected confined aquifers of Southern Maryland and Maryland's Eastern Shore, 1975-2011","docAbstract":"Groundwater is the principal source of freshwater supply in most of Southern Maryland and Maryland's Eastern Shore. It is also the source of freshwater supply used in the operation of the Calvert Cliffs, Chalk Point, and Morgantown power plants. Increased groundwater withdrawals over the last several decades have caused groundwater levels to decline. This report presents potentiometric surface maps of the Aquia, Magothy, upper Patapsco, lower Patapsco, and Patuxent aquifers using water levels measured during September 2011. Water-level difference maps also are presented for the first four of these aquifers. The water-level differences in the Aquia aquifer are shown using groundwater-level data from 1982 and 2011, whereas the water-level differences in the Magothy aquifer are presented using data from 1975 and 2011. Water-level difference maps in both the upper Patapsco and lower Patapsco aquifers are presented using data from 1990 and 2011. These maps show cones of depression ranging from 25 to 198 feet (ft) below sea level centered on areas of major withdrawals. Water levels have declined by as much as 112 ft in the Aquia aquifer since 1982, 85 ft in the Magothy aquifer since 1975, and 47 and 71 ft in the upper Patapsco and lower Patapsco aquifers, respectively, since 1990.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125165","collaboration":"Prepared in cooperation with the Power Plant Assessment Program of the Maryland Department of Natural Resources and the Maryland Geological Survey","usgsCitation":"Curtin, S.E., Andreasen, D., and Staley, A., 2012, Potentiometric surface and water-level difference maps of selected confined aquifers of Southern Maryland and Maryland's Eastern Shore, 1975-2011: U.S. Geological Survey Scientific Investigations Report 2012-5165, v, 36 p., https://doi.org/10.3133/sir20125165.","productDescription":"v, 36 p.","numberOfPages":"41","onlineOnly":"Y","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":259795,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5165/pdf/sir2012-5165_508.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259794,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5165/","linkFileType":{"id":5,"text":"html"}},{"id":259805,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5165.gif"}],"scale":"250000","country":"United States","state":"Maryl","county":"Anne Arundel;Baltimore;Baltimore City;Caroline;Calvert;Cecil;Charles;Dorchester;Frederick;Harford;Howard;Kent;Montgomery;Prince George's;Queen Anne's;St. Mary's","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.5,38 ], [ -77.5,39.5 ], [ -75.75,39.5 ], [ -75.75,38 ], [ -77.5,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7fb6e4b0c8380cd7ac59","contributors":{"authors":[{"text":"Curtin, Stephen E. securtin@usgs.gov","contributorId":3703,"corporation":false,"usgs":true,"family":"Curtin","given":"Stephen","email":"securtin@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andreasen, David C.","contributorId":59003,"corporation":false,"usgs":true,"family":"Andreasen","given":"David C.","affiliations":[],"preferred":false,"id":466764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staley, Andrew W.","contributorId":43319,"corporation":false,"usgs":true,"family":"Staley","given":"Andrew W.","affiliations":[],"preferred":false,"id":466763,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039685,"text":"ds707 - 2012 - Occurrence of pesticides in water and sediment collected from amphibian habitats located throughout the United States, 2009-10","interactions":[],"lastModifiedDate":"2012-08-28T15:38:19","indexId":"ds707","displayToPublicDate":"2012-08-23T00:00:00","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":"707","title":"Occurrence of pesticides in water and sediment collected from amphibian habitats located throughout the United States, 2009-10","docAbstract":"Water and bed-sediment samples were collected by the U.S. Geological Survey (USGS) in 2009 and 2010 from 11 sites within California and 18 sites total in Colorado, Georgia, Idaho, Louisiana, Maine, and Oregon, and were analyzed for a suite of pesticides by the USGS. Water samples and bed-sediment samples were collected from perennial or seasonal ponds located in amphibian habitats in conjunction with research conducted by the USGS Amphibian Research and Monitoring Initiative and the USGS Toxic Substances Hydrology Program. Sites selected for this study in three of the states (California, Colorado, and Orgeon) have no direct pesticide application and are considered undeveloped and remote. Sites selected in Georgia, Idaho, Louisiana, and Maine were in close proximity to either agricultural or suburban areas. Water and sediment samples were collected once in 2009 during amphibian breeding seasons. In 2010, water samples were collected twice. The first sampling event coincided with the beginning of the frog breeding season for the species of interest, and the second event occurred 10-12 weeks later when pesticides were being applied to the surrounding areas. Additionally, water was collected during each sampling event to measure dissolved organic carbon, nutrients, and the fungus, <i>Batrachochytrium dendrobatidis</i>, which has been linked to amphibian declines worldwide. Bed-sediment samples were collected once during the beginning of the frog breeding season, when the amphibians are thought to be most at risk to pesticides. Results of this study are reported for the following two geographic scales: (1) for a national scale, by using data from the 29 sites that were sampled from seven states, and (2) for California, by using data from the 11 sampled sites in that state. Water samples were analyzed for 96 pesticides by using gas chromatography/mass spectrometry. A total of 24 pesticides were detected in one or more of the 54 water samples, including 7 fungicides, 10 herbicides, 4 insecticides, 1 synergist, and 2 pesticide degradates. On a national scale, aminomethylphosphonic acid (AMPA), the primary degradate of the herbicide glyphosate, which is the active ingredient in Roundup&reg;, was the most frequently detected pesticide in water (16 of 54 samples) followed by glyphosate (8 of 54 samples). The maximum number of pesticides observed at a single site was nine compounds in a water sample from a site in Louisiana. The maximum concentration of a pesticide or degradate observed in water was 2,880 nanograms per liter of clomazone (a herbicide) at a site in Louisiana. In California, a total of eight pesticides were detected among all of the low and high elevation sites; AMPA was the most frequently detected pesticide, but glyphosate was detected at the highest concentrations (1.1 micrograms per liter). Bed-sediment samples were analyzed for 94 pesticides by using accelerated solvent extraction, gel permeation chromatography for sulfur removal, and carbon/alumina stacked solid-phase extraction cartridges to remove interfering sediment matrices. In bed sediment, 22 pesticides were detected in one or more of the samples, including 9 fungicides, 3 pyrethroid insecticides, <i>p,p'</i>-dichlorodiphenyltrichloroethane (<i>p,p'</i>-DDT) and its major degradates, as well as several herbicides. Pyraclostrobin, a strobilurin fungicide, and bifenthrin, a pyrethroid insecticide, were detected most frequently. Maximum pesticide concentrations ranged from less than their respective method detection limits to 1,380 micrograms per kilogram (tebuconazole in California). The number of pesticides detected in samples from each site ranged from zero to six compounds. The sites with the greatest number of pesticides were in Maine and Oregon with six pesticides detected in one sample from each state, followed by Georgia with four pesticides in one sample. For California, a total of 10 pesticides were detected among all sites, and 4 pesticides were detected at both low and high elevation sites; tebuconazole and pyraclostrobin were the two most frequently detected pesticides in California. For the other six selected states, the most frequently detected pesticides in bed sediment were pyraclostrobin (detected in 17 of 42 samples), bifenthrin (detected in 14 of 42 samples), and tebuconazole (detected in 10 of 42 samples). The fungus, <i>Batrachochytrium dendrobatidis</i> (Bd), was detected in water samples in sites from four of the seven states during 2009 and 2010, and the number of zoospore equivalents per liter of water in samples where Bd was detected ranged from 1.6 to 343. Bd was not detected in water samples from sites in Georgia, Louisiana, and Oregon.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds707","usgsCitation":"Smalling, K., Orlando, J., Calhoun, D., Battaglin, W.A., and Kuivila, K., 2012, Occurrence of pesticides in water and sediment collected from amphibian habitats located throughout the United States, 2009-10: U.S. Geological Survey Data Series 707, viii, 36 p., https://doi.org/10.3133/ds707.","productDescription":"viii, 36 p.","numberOfPages":"44","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":259785,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_707.jpg"},{"id":259783,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/707/","linkFileType":{"id":5,"text":"html"}},{"id":259784,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/707/pdf/ds707.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125,24 ], [ -125,49 ], [ -65,49 ], [ -65,24 ], [ -125,24 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6c23e4b0c8380cd74a88","contributors":{"authors":[{"text":"Smalling, Kelly L.","contributorId":16105,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[],"preferred":false,"id":466726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orlando, James L. 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":95954,"corporation":false,"usgs":true,"family":"Orlando","given":"James L.","affiliations":[],"preferred":false,"id":466728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Calhoun, Daniel","contributorId":92913,"corporation":false,"usgs":true,"family":"Calhoun","given":"Daniel","affiliations":[],"preferred":false,"id":466727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuivila, Kathryn  0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":466724,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039681,"text":"70039681 - 2012 - Lacustrine records of Holocene flood pulse dynamics in the Upper Paraguay River watershed (Pantanal wetlands, Brazil)","interactions":[],"lastModifiedDate":"2012-08-24T01:02:05","indexId":"70039681","displayToPublicDate":"2012-08-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Lacustrine records of Holocene flood pulse dynamics in the Upper Paraguay River watershed (Pantanal wetlands, Brazil)","docAbstract":"The Pantanal is the world's largest tropical wetland and a biodiversity hotspot, yet its response to Quaternary environmental change is unclear. To address this problem, sediment cores from shallow lakes connected to the UpperParaguayRiver (PR) were analyzed and radiocarbon dated to track changes in sedimentary environments. Stratal relations, detrital particle size, multiple biogeochemical indicators, and sponge spicules suggest fluctuating lake-level lowstand conditions between ~ 11,000 and 5300 cal yr BP, punctuated by sporadic and in some cases erosive flood flows. A hiatus has been recorded from ~ 5300 to 2600 cal yr BP, spurred by confinement of the PR within its channel during an episode of profound regional drought. Sustained PR flooding caused a transgression after ~ 2600 cal yr BP, with lake-level highstand conditions appearing during the Little Ice Age. Holocene PR floodpulsedynamics are best explained by variability in effective precipitation, likely driven by insolation and tropical sea-surface temperature gradients. Our results provide novel support for hypotheses on: (1) stratigraphic discontinuity of floodplain sedimentary archives; (2) late Holocene methane flux from Southern Hemisphere wetlands; and (3) pre-colonial indigenous ceramics traditions in western Brazil.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.yqres.2012.05.015","usgsCitation":"McGlue, M.M., Silva, A., Zani, H., Corradini, F.A., Parolin, M., Abel, E.J., Cohen, A.S., Assine, M.L., Ellis, G.S., Trees, M.A., Kuerten, S., Gradella, F.D., and Rasbold, G.G., 2012, Lacustrine records of Holocene flood pulse dynamics in the Upper Paraguay River watershed (Pantanal wetlands, Brazil): Quaternary Research, v. 78, no. 2, p. 285-294, https://doi.org/10.1016/j.yqres.2012.05.015.","productDescription":"10 p.","startPage":"285","endPage":"294","numberOfPages":"11","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":259790,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259789,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.yqres.2012.05.015","linkFileType":{"id":5,"text":"html"}}],"country":"Brazil","otherGeospatial":"Pantanal Wetlands;Paraguay River","volume":"78","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-06-30","publicationStatus":"PW","scienceBaseUri":"505a412fe4b0c8380cd65376","contributors":{"authors":[{"text":"McGlue, Michael M. mmcglue@usgs.gov","contributorId":4091,"corporation":false,"usgs":true,"family":"McGlue","given":"Michael","email":"mmcglue@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":466712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silva, Aquinaldo","contributorId":41278,"corporation":false,"usgs":true,"family":"Silva","given":"Aquinaldo","email":"","affiliations":[],"preferred":false,"id":466716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zani, Hiran","contributorId":29119,"corporation":false,"usgs":true,"family":"Zani","given":"Hiran","email":"","affiliations":[],"preferred":false,"id":466714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corradini, Fabricio A.","contributorId":94426,"corporation":false,"usgs":true,"family":"Corradini","given":"Fabricio","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":466720,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parolin, Mauro","contributorId":42338,"corporation":false,"usgs":true,"family":"Parolin","given":"Mauro","email":"","affiliations":[],"preferred":false,"id":466717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Abel, Erin J.","contributorId":26568,"corporation":false,"usgs":true,"family":"Abel","given":"Erin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cohen, Andrew S.","contributorId":100989,"corporation":false,"usgs":true,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":466722,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Assine, Mario L.","contributorId":102618,"corporation":false,"usgs":true,"family":"Assine","given":"Mario","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":466723,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 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Santos","contributorId":37193,"corporation":false,"usgs":true,"family":"Gradella","given":"Frederico","email":"","middleInitial":"dos Santos","affiliations":[],"preferred":false,"id":466715,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rasbold, Giliane Gessica","contributorId":100236,"corporation":false,"usgs":true,"family":"Rasbold","given":"Giliane","email":"","middleInitial":"Gessica","affiliations":[],"preferred":false,"id":466721,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70039695,"text":"70039695 - 2012 - Effect of 17&beta;-trenbolone on male and female reproduction in Japanese quail (Coturnix japonica)","interactions":[],"lastModifiedDate":"2012-08-28T01:01:57","indexId":"70039695","displayToPublicDate":"2012-08-22T14:02:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":946,"text":"Avian Biology Research","active":true,"publicationSubtype":{"id":10}},"title":"Effect of 17&beta;-trenbolone on male and female reproduction in Japanese quail (Coturnix japonica)","docAbstract":"The anabolic steroid 17&beta; trenbolone (17&beta;-TB), a known endocrine disrupting chemical, may influence reproductive functions in avian wildlife. We evaluated the effects of dietary exposure to 17&beta;-TB at 5 and 20 ppm on reproductive functional endpoints in Japanese quail during and after sexual maturation. In the male, 5 and 20 ppm treatments revealed no differences in body and testes weight, testes histology, plasma testosterone concentrations, or size and weight of the foam glands. However, the onset of foam production was significantly earlier (days of age) in the 20 ppm males. In females, dietary 17&beta;-TB at 20 ppm caused a reduction in the number of maturing yellow yolk follicles and overall egg production. Plasma testosterone concentrations were reduced compared to controls. Histology of the oviductal sperm storage tubules was normal in all treatments. The number of sperm holes, sites on the perivitelline layer (PVL) where sperm bound and hydrolyzed a path through the PVL, was significantly greater in the 10th egg laid compared to the 1st egg laid in the 20 ppm treatment. Potential effects, albeit transient, on endpoints associated with male maturation warrant further investigation into the sensitivity of these measures in the event of embryonic and/or trans-generational exposure to 17&beta;-TB.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Avian Biology Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Science Reviews 2000 Ltd","publisherLocation":"London, U.K.","doi":"10.3184/175815512X13350167598421","usgsCitation":"Henry, P.F., Akuffo, V.G., Chen, Y., Karouna-Renier, N., Sprague, D.T., and Bakst, M.R., 2012, Effect of 17&beta;-trenbolone on male and female reproduction in Japanese quail (Coturnix japonica): Avian Biology Research, v. 5, no. 2, p. 61-68, https://doi.org/10.3184/175815512X13350167598421.","productDescription":"8 p.","startPage":"61","endPage":"68","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":259813,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259788,"rank":200,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3184/175815512X13350167598421","linkFileType":{"id":5,"text":"html"}}],"volume":"5","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-06-01","publicationStatus":"PW","scienceBaseUri":"505a05b2e4b0c8380cd50eee","contributors":{"authors":[{"text":"Henry, Paula F.P.","contributorId":12311,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"","middleInitial":"F.P.","affiliations":[],"preferred":false,"id":466756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akuffo, Valorie G.","contributorId":21024,"corporation":false,"usgs":true,"family":"Akuffo","given":"Valorie","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":466758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Yu","contributorId":77785,"corporation":false,"usgs":true,"family":"Chen","given":"Yu","email":"","affiliations":[],"preferred":false,"id":466761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karouna-Renier, Natalie K. 0000-0001-7127-033X","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":17357,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie K.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":466757,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sprague, Daniel T.","contributorId":43219,"corporation":false,"usgs":true,"family":"Sprague","given":"Daniel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":466760,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bakst, Murray R.","contributorId":38830,"corporation":false,"usgs":true,"family":"Bakst","given":"Murray","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":466759,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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