{"pageNumber":"722","pageRowStart":"18025","pageSize":"25","recordCount":46677,"records":[{"id":98497,"text":"sir20105092 - 2010 - A Geochemical Mass-Balance Method for Base-Flow Separation, Upper Hillsborough River Watershed, West-Central Florida, 2003-2005 and 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"sir20105092","displayToPublicDate":"2010-07-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5092","title":"A Geochemical Mass-Balance Method for Base-Flow Separation, Upper Hillsborough River Watershed, West-Central Florida, 2003-2005 and 2009","docAbstract":"Geochemical mass-balance (GMB) and conductivity mass-balance (CMB) methods for hydrograph separation were used to determine the contribution of base flow to total stormflow at two sites in the upper Hillsborough River watershed in west-central Florida from 2003-2005 and at one site in 2009. The chemical and isotopic composition of streamflow and precipitation was measured during selected local and frontal low- and high-intensity storm events and compared to the geochemical and isotopic composition of groundwater. Input for the GMB method included cation, anion, and stable isotope concentrations of surface water and groundwater, whereas input for the CMB method included continuous or point-sample measurement of specific conductance. \r\n\r\nThe surface water is a calcium-bicarbonate type water, which closely resembles groundwater geochemically, indicating that much of the surface water in the upper Hillsborough River basin is derived from local groundwater discharge. This discharge into the Hillsborough River at State Road 39 and at Hillsborough River State Park becomes diluted by precipitation and runoff during the wet season, but retains the calcium-bicarbonate characteristics of Upper Floridan aquifer water. \r\n\r\nField conditions limited the application of the GMB method to low-intensity storms but the CMB method was applied to both low-intensity and high-intensity storms. The average contribution of base flow to total discharge for all storms ranged from 31 to 100 percent, whereas the contribution of base flow to total discharge during peak discharge periods ranged from less than 10 percent to 100 percent. \r\n\r\nAlthough calcium, magnesium, and silica were consistent markers of Upper Floridan aquifer chemistry, their use in calculating base flow by the GMB method was limited because the frequency of point data collected in this study was not sufficient to capture the complete hydrograph from pre-event base-flow to post-event base-flow concentrations. In this study, pre-event water represented somewhat diluted groundwater. \r\n\r\nStreamflow conductivity integrates the concentrations of the major ions, and the logistics of acquiring specific conductance at frequent time intervals are less complicated than data collection, sample processing, shipment, and analysis of water samples in a laboratory. The acquisition of continuous specific conductance data reduces uncertainty associated with less-frequently collected geochemical point data. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105092","collaboration":"Prepared in cooperation with\r\nSouthwest Florida Water Management District","usgsCitation":"Kish, G.R., Stringer, C., Stewart, M., Rains, M., and Torres, A.E., 2010, A Geochemical Mass-Balance Method for Base-Flow Separation, Upper Hillsborough River Watershed, West-Central Florida, 2003-2005 and 2009: U.S. Geological Survey Scientific Investigations Report 2010-5092, viii, 33 p. , https://doi.org/10.3133/sir20105092.","productDescription":"viii, 33 p. 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R.","contributorId":65118,"corporation":false,"usgs":true,"family":"Kish","given":"G.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":305530,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stringer, C.E.","contributorId":73311,"corporation":false,"usgs":true,"family":"Stringer","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":305531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, M.T.","contributorId":6487,"corporation":false,"usgs":true,"family":"Stewart","given":"M.T.","email":"","affiliations":[],"preferred":false,"id":305529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rains, M.C.","contributorId":78046,"corporation":false,"usgs":true,"family":"Rains","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":305532,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torres, A. E.","contributorId":94350,"corporation":false,"usgs":true,"family":"Torres","given":"A.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":305533,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70156102,"text":"70156102 - 2010 - Sub-weekly to interannual variability of a high-energy shoreline","interactions":[],"lastModifiedDate":"2021-03-17T12:20:47.309201","indexId":"70156102","displayToPublicDate":"2010-07-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Sub-weekly to interannual variability of a high-energy shoreline","docAbstract":"<p><span>Sixty-one Global Positioning System (GPS), sub-aerial beach surveys were completed at 7</span><span>&nbsp;</span><span>km long Ocean Beach, San Francisco, CA (USA), between April 2004 and March 2009. The five-year time series contains over 1</span><span>&nbsp;</span><span>million beach elevation measurements and documents detailed changes in beach morphology over a variety of spatial, temporal, and physical forcing scales. Results show that seasonal processes dominate at Ocean Beach, with the seasonal increase and decrease in wave height being the primary driver of shoreline change. Storm events, while capable of causing large short-term changes in the shoreline, did not singularly account for a large percentage of the overall observed change. Empirical orthogonal function (EOF) analysis shows that the first two modes account for approximately three-quarters of the variance in the data set and are represented by the seasonal onshore/offshore movement of sediment (60%) and the multi-year trend of shoreline rotation (14%). The longer-term trend of shoreline rotation appears to be related to larger-scale bathymetric change. An EOF-based decomposition technique is developed that is capable of estimating the shoreline position to within one standard deviation of the range of shoreline positions observed at most locations along the beach. The foundation of the model is the observed relationship between the temporal amplitudes of the first EOF mode and seasonally-averaged offshore wave height as well as the linear trend of shoreline rotation. This technique, while not truly predictive because of the requirement of real-time wave data, is useful because it can predict shoreline position to within reasonable confidence given the absence of field data once the model is developed at a particular site.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2010.05.011","usgsCitation":"Hansen, J., and Barnard, P.L., 2010, Sub-weekly to interannual variability of a high-energy shoreline: Coastal Engineering, v. 57, no. 11-12, p. 959-972, https://doi.org/10.1016/j.coastaleng.2010.05.011.","productDescription":"13 p.","startPage":"959","endPage":"972","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011159","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":306838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Ocean Beach","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.51815795898436,\n              37.68708070686609\n            ],\n            [\n              -122.49412536621094,\n              37.68708070686609\n            ],\n            [\n              -122.49412536621094,\n              37.78102667641841\n            ],\n            [\n              -122.51815795898436,\n              37.78102667641841\n            ],\n            [\n              -122.51815795898436,\n              37.68708070686609\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"57","issue":"11-12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d45734e4b0518e354694f5","contributors":{"authors":[{"text":"Hansen, Jeff E.","contributorId":146437,"corporation":false,"usgs":false,"family":"Hansen","given":"Jeff E.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":567872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":567871,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70156577,"text":"70156577 - 2010 - Assimilating models and data to enhance predictions of shoreline evolution","interactions":[],"lastModifiedDate":"2021-10-26T15:55:17.530257","indexId":"70156577","displayToPublicDate":"2010-07-05T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Assimilating models and data to enhance predictions of shoreline evolution","docAbstract":"<p><span>A modeling system that considers both long- and short-term process-driven shoreline change is presented. The modeling system is integrated into a data assimilation framework that uses sparse observations of shoreline change to correct a model forecast and to determine unobserved model variables and free parameters. Application of the assimilation algorithm also provides quantitative statistical estimates of uncertainty that can be applied to coastal hazard and vulnerability assessments. Significant attention is given to the estimation of four non-observable quantities using the data assimilation framework that utilizes only one observable process (i.e. ,shoreline change). The general framework discussed here can be applied to many other geophysical processes by simply changing the model component to one applicable to the processes of interest.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of 32nd International Conference on Coastal Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"32nd International Conference on Coastal Engineering","conferenceDate":"June 30-July 5 2010","conferenceLocation":"Shanghai, China","language":"English","publisher":"International Conference on Coastal Engineering","doi":"10.9753/icce.v32.sediment.91","usgsCitation":"Long, J.W., and Plant, N.G., 2010, Assimilating models and data to enhance predictions of shoreline evolution, <i>in</i> Proceedings of 32nd International Conference on Coastal Engineering, Shanghai, China, June 30-July 5 2010, 6 p., https://doi.org/10.9753/icce.v32.sediment.91.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024580","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475692,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.9753/icce.v32.sediment.91","text":"Publisher Index Page"},{"id":307339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2011-01-31","publicationStatus":"PW","scienceBaseUri":"55dc402be4b0518e354d10d9","contributors":{"editors":[{"text":"Smith, Jane McKee","contributorId":146956,"corporation":false,"usgs":false,"family":"Smith","given":"Jane","email":"","middleInitial":"McKee","affiliations":[],"preferred":false,"id":569562,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lynett, Patrick","contributorId":24298,"corporation":false,"usgs":true,"family":"Lynett","given":"Patrick","affiliations":[],"preferred":false,"id":569563,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":569560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":569561,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98495,"text":"ofr20101109 - 2010 - Neosho madtom and other ictalurid populations in relation to hydrologic characteristics of an impounded Midwestern warmwater stream: Update","interactions":[],"lastModifiedDate":"2022-08-23T21:24:19.961962","indexId":"ofr20101109","displayToPublicDate":"2010-07-03T00:00:00","publicationYear":"2010","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":"2010-1109","title":"Neosho madtom and other ictalurid populations in relation to hydrologic characteristics of an impounded Midwestern warmwater stream: Update","docAbstract":"<p><span>The Neosho madtom, </span><i>Noturus placidus</i><span>, is a small (less than 75 millimeters in total length) ictalurid that is native to the main stems of the Neosho and Cottonwood Rivers in Kansas and Oklahoma and the Spring River in Kansas and Missouri. The Neosho madtom was federally listed as threatened by the U.S. Fish and Wildlife Service in May 1990. The U.S. Fish and Wildlife Service has been monitoring Neosho madtoms since 1991, and questioned whether or not Neosho madtom densities were affected by other catfish species, reservoirs, and hydrologic characteristics. Using the first 8 years of U.S. Fish and Wildlife Service monitoring data, Wildhaber and others (2000) analyzed whether or not Neosho madtom densities were related to these environmental characteristics. The goal of this report is to update these results with data from 1999 to 2008. The trends of Neosho madtom densities in respect to John Redmond Reservoir and other catfish species remains consistent with the previous report. In both the Neosho and Spring Rivers, Neosho madtoms had a significant positive association with all catfish species. Of those species tested, only in the population of Neosho madtoms were significantly different in density above verses below the John Redmond Reservoir after accounting for the yearly variation. The average density of Neosho madtoms at the streamgage immediately below the reservoir had the second lowest density compared to the other streamgages. The positive associations with Neosho madtoms that remained consistent from the previous report included the 1-, 3-, and 7-day minima discharges and the annual minimum discharge from the previous water year (water year prior to when the fish were sampled) and the 1-, 3-, 7-, and 30-day minima discharges from the current water year (same water year fish were sampled).</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101109","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Bryan, J.L., Wildhaber, M.L., Leeds, W.B., and Dey, R., 2010, Neosho madtom and other ictalurid populations in relation to hydrologic characteristics of an impounded Midwestern warmwater stream: Update: U.S. Geological Survey Open-File Report 2010-1109, v, 20 p., https://doi.org/10.3133/ofr20101109.","productDescription":"v, 20 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":125853,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1109.jpg"},{"id":341600,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1109/pdf/OFR2010-1109.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}},{"id":13881,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1109/","linkFileType":{"id":5,"text":"html"}},{"id":405504,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93391.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Kansas, Missouri, Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.8333,\n              36.5\n            ],\n            [\n              -94,\n              36.5\n            ],\n            [\n              -94,\n              38.6667\n            ],\n            [\n              -96.8333,\n              38.6667\n            ],\n            [\n              -96.8333,\n              36.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db697952","contributors":{"authors":[{"text":"Bryan, Janice L.","contributorId":58589,"corporation":false,"usgs":true,"family":"Bryan","given":"Janice","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":305525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":305523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leeds, William B.","contributorId":45563,"corporation":false,"usgs":true,"family":"Leeds","given":"William","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":305524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dey, Rima","contributorId":81210,"corporation":false,"usgs":true,"family":"Dey","given":"Rima","email":"","affiliations":[],"preferred":false,"id":305526,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98494,"text":"sir20105120 - 2010 - Bromide, Chloride, and Sulfate Concentrations and Loads at U.S. Geological Survey Streamflow-Gaging Stations 07331600 Red River at Denison Dam, 07335500 Red River at Arthur City, and 07336820 Red River near DeKalb, Texas, 2007-09","interactions":[],"lastModifiedDate":"2019-12-30T14:24:32","indexId":"sir20105120","displayToPublicDate":"2010-07-03T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5120","title":"Bromide, Chloride, and Sulfate Concentrations and Loads at U.S. Geological Survey Streamflow-Gaging Stations 07331600 Red River at Denison Dam, 07335500 Red River at Arthur City, and 07336820 Red River near DeKalb, Texas, 2007-09","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the City of Dallas Water Utilities Division, did a study to characterize bromide, chloride, and sulfate concentrations and loads at three U.S. Geological Survey streamflow-gaging stations on the reach of the Red River from Denison Dam, which impounds Lake Texoma, to the U.S. Highway 259 bridge near DeKalb, Texas. Bromide, chloride, and sulfate concentrations and loads were computed for streamflow-gaging stations on the study reach of the Red River. Continuous streamflow and specific conductance data and discrete samples for bromide, chloride, sulfate, and specific conductance were collected at three main-stem streamflow-gaging stations on the Red River: 07331600 Red River at Denison Dam near Denison, Texas (Denison Dam gage), 07335500 Red River at Arthur City, Texas (Arthur City gage), and 07336820 Red River near DeKalb, Texas (DeKalb gage). At each of these streamflow-gaging stations, discrete water-quality data were collected during January 2007-February 2009; continuous water-quality data were collected during March 2007-February 2009. Two periods of high flow resulted from floods during the study; floods during June-July 2007 resulted in elevated flow during June-September 2007 and smaller floods during March-April 2008 resulted in elevated flow during March-April 2008. Bromide, chloride, and sulfate concentrations in samples collected at the three gages decreased downstream. Median bromide concentrations ranged from 0.32 milligram per liter at the Denison Dam gage to 0.19 milligram per liter at the DeKalb gage. Median chloride concentrations ranged from 176 milligrams per liter at the Denison Dam gage to 108 milligrams per liter at the DeKalb gage, less than the 300-milligrams per liter secondary maximum contaminant level established by the Texas Commission on Environmental Quality. Median sulfate concentrations ranged from 213 milligrams per liter at the Denison Dam gage to 117 milligrams per liter at the DeKalb gage, also less than the 300-milligrams per liter secondary maximum contaminant level. Kruskal-Wallis analyses indicated statistically significant differences among bromide, chloride, and sulfate concentrations at the three gages. Regression equations to estimate bromide, chloride, and sulfate loads were developed for each of the three gages. The largest loads were estimated for a period of relatively large streamflow, June-September 2007, when about 50 percent of the load for the study period occurred at each gage. Adjusted R-squared values were largest for regression equations for the DeKalb gage, ranging from .957 for sulfate to .976 for chloride. Adjusted R-squared values for all regression equations developed to estimate loads of bromide, chloride, and sulfate at the three gages were .899 or larger.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/sir20105120","collaboration":"In cooperation with the City of Dallas Water Utilities Division","usgsCitation":"Baldys, S., Churchill, C.J., Mobley, C.A., and Coffman, D.K., 2010, Bromide, Chloride, and Sulfate Concentrations and Loads at U.S. Geological Survey Streamflow-Gaging Stations 07331600 Red River at Denison Dam, 07335500 Red River at Arthur City, and 07336820 Red River near DeKalb, Texas, 2007-09: U.S. Geological Survey Scientific Investigations Report 2010-5120, vi, 30 p., https://doi.org/10.3133/sir20105120.","productDescription":"vi, 30 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science 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camobley@usgs.gov","orcid":"https://orcid.org/0000-0002-1599-4760","contributorId":4098,"corporation":false,"usgs":true,"family":"Mobley","given":"Craig","email":"camobley@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":305520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coffman, David K.","contributorId":27969,"corporation":false,"usgs":true,"family":"Coffman","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":305521,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98490,"text":"fs20103025 - 2010 - U.S. Geological Survey Streamgage Operation and Maintenance Cost Evaluation...from the National Streamflow Information Program","interactions":[],"lastModifiedDate":"2012-02-02T00:14:43","indexId":"fs20103025","displayToPublicDate":"2010-07-03T00:00:00","publicationYear":"2010","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":"2010-3025","title":"U.S. Geological Survey Streamgage Operation and Maintenance Cost Evaluation...from the National Streamflow Information Program","docAbstract":"To help meet the goal of providing earth-science information to the Nation, the U.S. Geological Survey (USGS) operates and maintains the largest streamgage network in the world, with over 7,600 active streamgages in 2010. This network is operated in cooperation with over 850 Federal, tribal, State, and local funding partners. The streamflow information provided by the USGS is used for the protection of life and property; for the assessment, allocation, and management of water resources; for the design of roads, bridges, dams, and water works; for the delineation of flood plains; for the assessment and evaluation of habitat; for understanding the effects of land-use, water-use, and climate changes; for evaluation of water quality; and for recreational safety and enjoyment.\r\n\r\nUSGS streamgages are managed and operated to rigorous national standards, allowing analyses of data from streamgages in different areas and spanning long time periods, some with more than 100 years of data. About 90 percent of USGS streamgages provide streamflow information real-time on the web. Physical measurements of streamflow are made at streamgages multiple times a year, depending on flow conditions, to ensure the highest level of accuracy possible. In addition, multiple reviews and quality assurance checks are performed before the data is finalized.\r\n\r\nIn 2006, the USGS reviewed all activities, operations, equipment, support, and costs associated with operating and maintaining a streamgage program (Norris and others, 2008). A summary of the percentages of costs associated with activities required to operate a streamgage on an annual basis are presented in figure 1. This information represents what it costs to fund a 'typical' USGS streamgage and how those funds are utilized. It should be noted that some USGS streamgages have higher percentages for some categories than do others depending on location and conditions. Forty-one percent of the funding for the typical USGS streamgage is for labor costs of the USGS staff responsible for the measurement of the streamflow in the field and the time in the office to quality assure and finalize the data. It is reasonable that funding for the entire national streamgage network would closely follow the percentages shown in figure 1 as to how the funds are invested in the network. However, actual costs are specific to a particular streamgage and can vary substantially depending on location and operational issues.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103025","usgsCitation":"Norris, J.M., 2010, U.S. Geological Survey Streamgage Operation and Maintenance Cost Evaluation...from the National Streamflow Information Program: U.S. Geological Survey Fact Sheet 2010-3025, 2 p., https://doi.org/10.3133/fs20103025.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":444,"text":"National Streamflow Information Program","active":false,"usgs":true}],"links":[{"id":125850,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3025.jpg"},{"id":13876,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3025/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e4e4b07f02db5e60eb","contributors":{"authors":[{"text":"Norris, J. Michael 0000-0002-7480-0161 mnorris@usgs.gov","orcid":"https://orcid.org/0000-0002-7480-0161","contributorId":1625,"corporation":false,"usgs":true,"family":"Norris","given":"J.","email":"mnorris@usgs.gov","middleInitial":"Michael","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305502,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98492,"text":"ofr20101128 - 2010 - Sediment-transport during three controlled-flood experiments on the Colorado River downstream from Glen Canyon Dam, with implications for eddy-sandbar deposition in Grand Canyon National Park","interactions":[],"lastModifiedDate":"2022-06-09T21:26:10.904217","indexId":"ofr20101128","displayToPublicDate":"2010-07-03T00:00:00","publicationYear":"2010","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":"2010-1128","title":"Sediment-transport during three controlled-flood experiments on the Colorado River downstream from Glen Canyon Dam, with implications for eddy-sandbar deposition in Grand Canyon National Park","docAbstract":"Three large-scale field experiments were conducted on the Colorado River downstream from Glen Canyon Dam in 1996, 2004, and 2008 to evaluate whether artificial (that is, controlled) floods released from the dam could be used in conjunction with the sand supplied by downstream tributaries to rebuild and sustainably maintain eddy sandbars in the river in Grand Canyon National Park. Higher suspended-sand concentrations during a controlled flood will lead to greater eddy-sandbar deposition rates. During each controlled flood experiment, sediment-transport and bed-sediment data were collected to evaluate sediment-supply effects on sandbar deposition. Data collection substantially increased in spatial and temporal density with each subsequent experiment. The suspended- and bed-sediment data collected during all three controlled-flood experiments are presented and analyzed in this report. Analysis of these data indicate that in designing the hydrograph of a controlled flood that is optimized for sandbar deposition in a given reach of the Colorado River, both the magnitude and the grain size of the sand supply must be considered. Because of the opposing physical effects of bed-sand area and bed-sand grain size in regulating suspended-sand concentration, larger amounts of coarser sand on the bed can lead to lower suspended-sand concentrations, and thus lower rates of sandbar deposition, during a controlled flood than can lesser amounts of finer sand on the bed. Although suspended-sand concentrations were higher at all study sites during the 2008 controlled-flood experiment (CFE) than during either the 1996 or 2004 CFEs, these higher concentrations were likely associated with more sand on the bed of the Colorado River in only lower Glen Canyon. More sand was likely present on the bed of the river in Grand Canyon during the 1996 CFE than during either the 2004 or 2008 CFEs. The question still remains as to whether sandbars can be sustained in the Colorado River in Grand Canyon National Park through use of controlled floods in conjunction with typical amounts and grain sizes of sand supplied by the tributaries that enter the Colorado River downstream from Glen Canyon Dam.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101128","collaboration":"Grand Canyon Monitoring and Research Center","usgsCitation":"Topping, D.J., Rubin, D.M., Grams, P.E., Griffiths, R.E., Sabol, T., Voichick, N., Tusso, R.B., Vanaman, K.M., and McDonald, R.R., 2010, Sediment-transport during three controlled-flood experiments on the Colorado River downstream from Glen Canyon Dam, with implications for eddy-sandbar deposition in Grand Canyon National Park: U.S. Geological Survey Open-File Report 2010-1128, viii, 111 p., https://doi.org/10.3133/ofr20101128.","productDescription":"viii, 111 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":125851,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1128.jpg"},{"id":402037,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93388.htm"},{"id":13878,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1128/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n          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Center","active":true,"usgs":true}],"preferred":false,"id":305513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":305507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffiths, Ronald E.","contributorId":76426,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":305515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sabol, Thomas A.","contributorId":67186,"corporation":false,"usgs":true,"family":"Sabol","given":"Thomas A.","affiliations":[],"preferred":false,"id":305514,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Voichick, Nicholas nvoichick@usgs.gov","contributorId":5015,"corporation":false,"usgs":true,"family":"Voichick","given":"Nicholas","email":"nvoichick@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":305512,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tusso, Robert B. 0000-0001-7541-3713 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,{"id":98493,"text":"fs20103047 - 2010 - Estuaries of the Greater Everglades Ecosystem: Laboratories of Long-term Change","interactions":[],"lastModifiedDate":"2012-02-02T00:14:44","indexId":"fs20103047","displayToPublicDate":"2010-07-03T00:00:00","publicationYear":"2010","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":"2010-3047","title":"Estuaries of the Greater Everglades Ecosystem: Laboratories of Long-term Change","docAbstract":"Restoring the greater Everglades ecosystem of south Florida is arguably the largest ecosystem restoration effort to date. A critical goal is to return more natural patterns of flow through south Florida wetlands and into the estuaries, but development of realistic targets requires acknowledgement that ecosystems are constantly evolving and changing in response to a variety of natural and human-driven stressors.\r\n\r\nExamination of ecosystems over long periods of time requires analysis of sedimentary records, such as those deposited in the wetlands and estuaries of south Florida. As sediment accumulates, it preserves information about the animals and plants that lived in the environment and the physical, chemical, and climatic conditions present. One of the methods used to interpret this information is paleoecology-the study of the ecology of previously living organisms. \r\n\r\nPaleoecologic investigations of south Florida estuaries provide quantitative data on historical variability of salinity and trends that may be applied to statistical models to estimate historical freshwater flow. These data provide a unique context to estimate future ecosystem response to changes related to restoration activities and predicted changes in sea level and temperature, thus increasing the likelihood of successful and sustainable ecosystem restoration.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103047","usgsCitation":"Wingard, G., Hudley, J., and Marshall, F., 2010, Estuaries of the Greater Everglades Ecosystem: Laboratories of Long-term Change: U.S. Geological Survey Fact Sheet 2010-3047, 4 p., https://doi.org/10.3133/fs20103047.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":125855,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3047.jpg"},{"id":13879,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3047/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67eb16","contributors":{"authors":[{"text":"Wingard, G.L.","contributorId":79981,"corporation":false,"usgs":true,"family":"Wingard","given":"G.L.","email":"","affiliations":[],"preferred":false,"id":305517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudley, J.W.","contributorId":18872,"corporation":false,"usgs":true,"family":"Hudley","given":"J.W.","affiliations":[],"preferred":false,"id":305516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, F.E.","contributorId":103380,"corporation":false,"usgs":true,"family":"Marshall","given":"F.E.","email":"","affiliations":[],"preferred":false,"id":305518,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98489,"text":"ofr20101121 - 2010 - Detailed Sections from Auger Holes in the Emporia 1:100,000-Scale Quadrangle, North Carolina and Virginia","interactions":[],"lastModifiedDate":"2012-02-10T00:11:52","indexId":"ofr20101121","displayToPublicDate":"2010-07-03T00:00:00","publicationYear":"2010","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":"2010-1121","title":"Detailed Sections from Auger Holes in the Emporia 1:100,000-Scale Quadrangle, North Carolina and Virginia","docAbstract":"The Emporia 1:100,000-scale quadrangle straddles the Tidewater Fall Line in southern Virginia and includes a small part of northernmost North Carolina. Sediments of the coastal plain underlie the eastern three-fifths of this area. These sediments onlap crystalline basement rocks toward the west and dip gently to the east, reaching a maximum known thickness of 821 feet in the extreme southeastern part of the map area. The gentle eastward dip is disrupted in several areas due to faulting delineated during the course of mapping.\r\n\r\nIn order to produce a new geologic map of the Emporia 1:100,000-scale quadrangle, the U.S. Geological Survey drilled one corehole to a depth of 223 feet and augered 192 shallow research test holes (maximum depth 135 feet) to supplement sparse outcrop data available from the coastal plain part of the map area. The recovered sediments were studied and data from them recorded to determine the lithologic characteristics, spatial distribution, and temporal framework of the represented coastal plain stratigraphic units. These test holes were critical for accurately determining the distribution of major geologic units and the position of unit boundaries that will be shown on the forthcoming Emporia geologic map, but much of the detailed subsurface data cannot be shown readily through this map product. Therefore, the locations and detailed descriptions of the auger test holes and one corehole are provided in this open-file report for geologists, hydrologists, engineers, and community planners in need of a detailed shallow-subsurface stratigraphic framework for much of the Emporia map region. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101121","usgsCitation":"Weems, R.E., Schindler, J.S., and Lewis, W., 2010, Detailed Sections from Auger Holes in the Emporia 1:100,000-Scale Quadrangle, North Carolina and Virginia: U.S. Geological Survey Open-File Report 2010-1121, v, 288 p. , https://doi.org/10.3133/ofr20101121.","productDescription":"v, 288 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125849,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1121.jpg"},{"id":13875,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1121/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78,36.833333333333336 ], [ -78,37 ], [ -77,37 ], [ -77,36.833333333333336 ], [ -78,36.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db667dcd","contributors":{"authors":[{"text":"Weems, Robert E. 0000-0002-1907-7804 rweems@usgs.gov","orcid":"https://orcid.org/0000-0002-1907-7804","contributorId":2663,"corporation":false,"usgs":true,"family":"Weems","given":"Robert","email":"rweems@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":305499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schindler, J. Stephen 0000-0001-9550-5957 sschindl@usgs.gov","orcid":"https://orcid.org/0000-0001-9550-5957","contributorId":3270,"corporation":false,"usgs":true,"family":"Schindler","given":"J.","email":"sschindl@usgs.gov","middleInitial":"Stephen","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":305500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewis, William C.","contributorId":50878,"corporation":false,"usgs":true,"family":"Lewis","given":"William C.","affiliations":[],"preferred":false,"id":305501,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98491,"text":"sir20105081 - 2010 - Submarine groundwater discharge and fate along the coast of Kaloko-Honokohau National Historical Park, Island of Hawai`i: Part 3, spatial and temporal patterns in nearshore waters and coastal groundwater plumes, December 2003-April 2006","interactions":[],"lastModifiedDate":"2022-09-28T21:30:23.529114","indexId":"sir20105081","displayToPublicDate":"2010-07-03T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5081","title":"Submarine groundwater discharge and fate along the coast of Kaloko-Honokohau National Historical Park, Island of Hawai`i: Part 3, spatial and temporal patterns in nearshore waters and coastal groundwater plumes, December 2003-April 2006","docAbstract":"<p>During seven surveys between December 2003 and April 2006, 1,045 depth profiles of surface water temperature and salinity were collected to examine variability in water column properties and the influence of submarine groundwater discharge (SGD) on the nearshore waters and coral reef complex of Kaloko-Honokōhau National Historical Park, Island of Hawai‘i. This effort was made to characterize the variability in nearshore water properties with seasonality and hydrodynamic forcing (tides, winds, and waves) and to determine the spatial and vertical extent of influence of SGD plumes on the Park’s marine biological resources. The results of this study reveal that nearshore waters of the Park were persistently influenced by plumes of submarine groundwater discharge that are generally colder, less saline, and more concentrated in nutrients than the surrounding seawater. These plumes extended between 100 and 1,000 m offshore to depths ranging between 1 and 5 m and often contained several million to hundreds of millions of gallons of brackish water. In essence, the Park’s nearshore, like much of the arid west coast of Hawai‘i, is estuarine. Although the groundwater plumes were persistent over the years studied, their spatial extent and volume varied tidally, seasonally, and annually. In one season, April 2004, an inverse relation of decreasing salinity with increasing temperature was found in the upper 5 m of the water column, unlike the other seasons, when surface water temperature and salinity were positively correlated.</p><p>These data provide the first comprehensive record of nearshore water column properties within the Park boundaries and a baseline for detecting and assessing future conditions. Various resort, industrial, and municipal developments, either planned or under construction around the Park, will require significant groundwater supplies and will likely alter groundwater quantity and quality. The flux and quality of groundwater through the National Park are critical to the rare anchialine (brackish) pool ecosystems and various ecosystem functions of the nearshore waters and coral reefs. Changes in groundwater discharge are expected to have significant impacts to the area’s coastal ecosystems, including decreased freshwater outflow to the brackish anchialine pools and coral reefs and increased nutrient and contaminant concentrations. In conjunction with two complementary studies of this series (Parts 1 and 2), these data provide insight into the patterns of influence and fate of SGD in the Park’s coastal waters. This information is important for determining water-resource management strategies that balance the needs of the ecosystem with those of human livelihood. This report describes the data, presents the general findings, and gives representative examples of seasonal and tidal variability in water column properties and SGD-fed plumes across the Park’s nearshore waters.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105081","usgsCitation":"Grossman, E., Logan, J., Presto, M., and Storlazzi, C., 2010, Submarine groundwater discharge and fate along the coast of Kaloko-Honokohau National Historical Park, Island of Hawai`i: Part 3, spatial and temporal patterns in nearshore waters and coastal groundwater plumes, December 2003-April 2006: U.S. Geological Survey Scientific Investigations Report 2010-5081, vii, 76 p., https://doi.org/10.3133/sir20105081.","productDescription":"vii, 76 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":125852,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5081.jpg"},{"id":407560,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93390.htm","linkFileType":{"id":5,"text":"html"}},{"id":13877,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5081/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaloko-Honokohau National Historical Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.05117797851562,\n              19.666998154072363\n            ],\n            [\n              -156.01444244384766,\n              19.666998154072363\n            ],\n            [\n              -156.01444244384766,\n              19.70578884134168\n            ],\n            [\n              -156.05117797851562,\n              19.70578884134168\n            ],\n            [\n              -156.05117797851562,\n              19.666998154072363\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699bf2","contributors":{"authors":[{"text":"Grossman, Eric E.","contributorId":40677,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric E.","affiliations":[],"preferred":false,"id":305505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Logan, Joshua B.","contributorId":34470,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua B.","affiliations":[],"preferred":false,"id":305504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Presto, M. Katherine","contributorId":30192,"corporation":false,"usgs":true,"family":"Presto","given":"M. Katherine","affiliations":[],"preferred":false,"id":305503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":77889,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[],"preferred":false,"id":305506,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048508,"text":"70048508 - 2010 - Occurrence of herbicides and pharmaceutical and personal care products in surface water and groundwater around Liberty Bay, Puget Sound, Washington","interactions":[],"lastModifiedDate":"2014-08-20T08:49:11","indexId":"70048508","displayToPublicDate":"2010-07-01T13:43:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence of herbicides and pharmaceutical and personal care products in surface water and groundwater around Liberty Bay, Puget Sound, Washington","docAbstract":"Organic contaminants, such as pharmaceuticals and personal care products (PPCPs), pose a risk to water quality and the health of ecosystems. This study was designed to determine if a coastal community lacking point sources, such as waste water treatment plant effluent, could release PPCPs, herbicides, and plasticizers at detectable levels to their surface water and groundwater. Research was conducted in Liberty Bay, an embayment within Puget Sound, where 70% of the population (∼10,000) uses septic systems. Sampling included collection of groundwater and surface water with grab samples and the use of polar organic chemical integrative samplers (POCIS). We analyzed for a broad spectrum of 25 commonly used compounds, including PPCPs, herbicides, and a flame retardant. Twelve contaminants were detected at least once; only N,N-diethyl-meta-toluamide, caffeine, and mecoprop, a herbicide not attributed to septic systems, were detected in more than one grab sample. The use of POCIS was essential because contaminants were present at very low levels (nanograms), which is common for PPCPs in general, but particularly so in such a small community. The use of POCIS allowed the detection of five compounds that were not present in grab samples. Data suggest that the community is contaminating local water with PPCPs; this effect is likely to increase as the population and product usage increase. The results presented here are a first step toward assessing the transport of herbicides and PPCPs into this coastal system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Agronomy","doi":"10.2134/jeq2009.0189","usgsCitation":"Dougherty, J.A., Swarzenski, P.W., Dinicola, R., and Reinhard, M., 2010, Occurrence of herbicides and pharmaceutical and personal care products in surface water and groundwater around Liberty Bay, Puget Sound, Washington: Journal of Environmental Quality, v. 39, no. 4, p. 1173-1180, https://doi.org/10.2134/jeq2009.0189.","productDescription":"8 p.","startPage":"1173","endPage":"1180","numberOfPages":"8","ipdsId":"IP-021878","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":488158,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2009.0189","text":"Publisher Index Page"},{"id":278273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278272,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2009.0189"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.66,47.68 ], [ -122.66,47.76 ], [ -122.56,47.76 ], [ -122.56,47.68 ], [ -122.66,47.68 ] ] ] } } ] }","volume":"39","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52625867e4b079a99629a10c","contributors":{"authors":[{"text":"Dougherty, Jennifer A.","contributorId":6114,"corporation":false,"usgs":true,"family":"Dougherty","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinicola, Richard S. 0000-0003-4222-294X dinicola@usgs.gov","orcid":"https://orcid.org/0000-0003-4222-294X","contributorId":352,"corporation":false,"usgs":true,"family":"Dinicola","given":"Richard S.","email":"dinicola@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reinhard, Martin","contributorId":87060,"corporation":false,"usgs":true,"family":"Reinhard","given":"Martin","affiliations":[],"preferred":false,"id":484883,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70056500,"text":"70056500 - 2010 - Effects of climate change on saltwater intrusion at Hilton Head Island, SC. U.S.A.","interactions":[],"lastModifiedDate":"2014-05-28T12:48:43","indexId":"70056500","displayToPublicDate":"2010-07-01T12:41:17","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effects of climate change on saltwater intrusion at Hilton Head Island, SC. U.S.A.","docAbstract":"Sea‐level rise and changes in precipitation patterns may contribute to the occurrence and affect the rate of saltwater contamination in the Hilton Head Island, South Carolina area. To address the effects of climate change on saltwater intrusion, a threedimensional, finite‐element, variable‐density, solute‐transport model was developed to simulate different rates of sea‐level rise and variation in onshore freshwater recharge. Model simulation showed that the greatest effect on the existing saltwater plume occurred from reducing recharge, suggesting recharge may be a more important consideration in saltwater intrusion management than estimated rates of sea‐level rise. Saltwater intrusion management would benefit from improved constraints on recharge rates by using model‐independent, local precipitation and evapotranspiration data, and improving estimates of confining unit hydraulic properties.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 21st Salt Water Intrusion Meeting, Azores, Portugal, 2010","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","usgsCitation":"Payne, D.F., 2010, Effects of climate change on saltwater intrusion at Hilton Head Island, SC. U.S.A., <i>in</i> Proceedings of the 21st Salt Water Intrusion Meeting, Azores, Portugal, 2010, p. 293-296.","productDescription":"4 p.","startPage":"293","endPage":"296","numberOfPages":"4","ipdsId":"IP-021028","costCenters":[{"id":286,"text":"Florida Water Science Center-Ft. Lauderdale","active":false,"usgs":true}],"links":[{"id":287673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279230,"type":{"id":15,"text":"Index Page"},"url":"https://www.swim-site.nl/pdf/swim21.html"}],"country":"United States","state":"South Carolina","otherGeospatial":"Hilton Head Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.947831,32.034511 ], [ -80.947831,32.370965 ], [ -80.599917,32.370965 ], [ -80.599917,32.034511 ], [ -80.947831,32.034511 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53870567e4b0aa26cd7b539e","contributors":{"authors":[{"text":"Payne, Dorothy F.","contributorId":88825,"corporation":false,"usgs":true,"family":"Payne","given":"Dorothy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":486572,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70201008,"text":"70201008 - 2010 - Visible and near-infrared multispectral analysis of geochemically measured rock fragments at the Opportunity landing site in Meridiani Planum","interactions":[],"lastModifiedDate":"2018-11-20T10:24:57","indexId":"70201008","displayToPublicDate":"2010-07-01T10:24:16","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Visible and near-infrared multispectral analysis of geochemically measured rock fragments at the Opportunity landing site in Meridiani Planum","docAbstract":"<p><span>We have used visible and near‐infrared Panoramic Camera (Pancam) spectral data acquired by the Opportunity rover to analyze 15 rock fragments at the Meridiani Planum landing site. These spectral results were then compared to geochemistry measurements made by the in situ instruments Mössbauer (MB) and Alpha Particle X‐ray Spectrometer (APXS) to determine the feasibility of mineralogic characterization from Pancam data. Our results suggest that dust and alteration rinds coat many rock fragments, which limits our ability to adequately measure the mineralogy of some rocks from Pancam spectra relative to the different field of view and penetration depths of MB and APXS. Viewing and lighting geometry, along with sampling size, also complicate the spectral characterization of the rocks. Rock fragments with the same geochemistry of sulfate‐rich outcrops have similar spectra, although the sulfate‐rich composition cannot be ascertained based upon Pancam spectra alone. FeNi meteorites have spectral characteristics, particularly ferric oxide coatings, that generally differentiate them from other rocks at the landing site. Stony meteorites and impact fragments with unknown compositions have a diverse range of spectral properties and are not well constrained nor diagnostic in Pancam data. Bounce Rock, with its unique basalt composition, is easily differentiated in the Pancam data from all other rock types at Meridiani Planum. Our Pancam analyses of small pebbles adjacent to these 15 rock fragments suggests that other rock types may exist at the landing site but have not yet been geochemically measured.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JE003660","usgsCitation":"Weitz, C.M., Farrand, W., Johnson, J.R., Fleischer, I., Schroder, C., Yingst, A., Jolliff, B.L., Gellert, R., Bell, J., Herkenhoff, K.E., Klingelhoefer, G., Cohen, B., Calvin, W.M., Rutherford, M., and Ashley, J.W., 2010, Visible and near-infrared multispectral analysis of geochemically measured rock fragments at the Opportunity landing site in Meridiani Planum: Journal of Geophysical Research E: Planets, v. 115, no. E7, 29 p., https://doi.org/10.1029/2010JE003660.","productDescription":"29 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":475698,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010je003660","text":"Publisher Index Page"},{"id":359595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Meridiani Planum, Mars","volume":"115","issue":"E7","noUsgsAuthors":false,"publicationDate":"2010-11-20","publicationStatus":"PW","scienceBaseUri":"5bf52b6be4b045bfcae28016","contributors":{"authors":[{"text":"Weitz, Catherine M.","contributorId":210511,"corporation":false,"usgs":false,"family":"Weitz","given":"Catherine","email":"","middleInitial":"M.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":true,"id":751651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farrand, William H.","contributorId":167514,"corporation":false,"usgs":false,"family":"Farrand","given":"William H.","affiliations":[{"id":24736,"text":"Space Science Institute, Boulder, Colo.","active":true,"usgs":false}],"preferred":false,"id":751652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Jeffrey R.","contributorId":200393,"corporation":false,"usgs":false,"family":"Johnson","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":751653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleischer, Iris","contributorId":210747,"corporation":false,"usgs":false,"family":"Fleischer","given":"Iris","email":"","affiliations":[],"preferred":false,"id":751654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schroder, Christian","contributorId":210745,"corporation":false,"usgs":false,"family":"Schroder","given":"Christian","email":"","affiliations":[{"id":27418,"text":"Department of Hydrology, University of Bayreuth, Universitätsstrasse 30, 95447 Bayreuth, Germany","active":true,"usgs":false}],"preferred":false,"id":751655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yingst, Aileen","contributorId":172313,"corporation":false,"usgs":false,"family":"Yingst","given":"Aileen","email":"","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":751656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jolliff, Bradley L.","contributorId":40040,"corporation":false,"usgs":true,"family":"Jolliff","given":"Bradley","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":751657,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gellert, Ralf","contributorId":35049,"corporation":false,"usgs":false,"family":"Gellert","given":"Ralf","email":"","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":751658,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bell, Jim","contributorId":210749,"corporation":false,"usgs":false,"family":"Bell","given":"Jim","email":"","affiliations":[],"preferred":false,"id":751659,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":751660,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Klingelhoefer, G.","contributorId":29177,"corporation":false,"usgs":true,"family":"Klingelhoefer","given":"G.","email":"","affiliations":[],"preferred":false,"id":751661,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cohen, Barbara","contributorId":210750,"corporation":false,"usgs":false,"family":"Cohen","given":"Barbara","affiliations":[{"id":16239,"text":"NASA Marshall Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":751662,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Calvin, Wendy M.","contributorId":93508,"corporation":false,"usgs":true,"family":"Calvin","given":"Wendy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":751663,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rutherford, Malcolm","contributorId":210751,"corporation":false,"usgs":false,"family":"Rutherford","given":"Malcolm","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":751664,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ashley, James W.","contributorId":102523,"corporation":false,"usgs":false,"family":"Ashley","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":751665,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70178328,"text":"70178328 - 2010 - Delineating a road-salt plume in lakebed sediments using electrical resistivity, piezometers, and seepage meters at Mirror Lake, New Hampshire, U.S.A","interactions":[],"lastModifiedDate":"2016-11-14T13:05:40","indexId":"70178328","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Delineating a road-salt plume in lakebed sediments using electrical resistivity, piezometers, and seepage meters at Mirror Lake, New Hampshire, U.S.A","docAbstract":"<p><span>Electrical-resistivity surveys, seepage meter measurements, and drive-point piezometers have been used to characterize chloride-enriched groundwater in lakebed sediments of Mirror Lake, New Hampshire, U.S.A. A combination of bottom-cable and floating-cable electrical-resistivity surveys identified a conductive zone </span><span id=\"inline-formula-1\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M1&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mo>(</mo><mo>&amp;lt;</mo><mn>100</mn><mspace width=&quot;0.3em&quot; /><mtext>ohm-</mtext><mi mathvariant=&quot;normal&quot;>m</mi><mo>)</mo></mrow></math>\"><span id=\"M1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow\"><span id=\"MathJax-Span-4\" class=\"mo\">(</span><span id=\"MathJax-Span-5\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-6\" class=\"mn\">100</span><span id=\"MathJax-Span-7\" class=\"mspace\"></span><span id=\"MathJax-Span-8\" class=\"mtext\">ohm-</span><span id=\"MathJax-Span-9\" class=\"mi\">m</span><span id=\"MathJax-Span-10\" class=\"mo\">)</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">(&lt;100ohm-m)</span></span></span></span><span> overlying resistive bedrock </span><span id=\"inline-formula-2\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M2&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mo>(</mo><mo>&amp;lt;</mo><mn>1000</mn><mspace width=&quot;0.3em&quot; /><mtext>ohm-</mtext><mi mathvariant=&quot;normal&quot;>m</mi><mo>)</mo></mrow></math>\"><span id=\"M2\" class=\"math\"><span><span><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"mrow\"><span id=\"MathJax-Span-14\" class=\"mo\">(</span><span id=\"MathJax-Span-15\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-16\" class=\"mn\">1000</span><span id=\"MathJax-Span-17\" class=\"mspace\"></span><span id=\"MathJax-Span-18\" class=\"mtext\">ohm-</span><span id=\"MathJax-Span-19\" class=\"mi\">m</span><span id=\"MathJax-Span-20\" class=\"mo\">)</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">(&lt;1000ohm-m)</span></span></span></span><span>beneath the lake. Shallow pore-water samples from piezometers in lakebed sediments have chloride concentrations of </span><span id=\"inline-formula-3\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M3&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mn>200</mn><mo>&amp;#x2013;</mo><mn>1800</mn><mspace width=&quot;0.3em&quot; /><mi>&amp;#x3BC;</mi><mi>eq</mi><mo>/</mo><mtext>liter</mtext></mrow></math>\"><span id=\"M3\" class=\"math\"><span><span><span id=\"MathJax-Span-22\" class=\"mrow\"><span id=\"MathJax-Span-23\" class=\"mrow\"><span id=\"MathJax-Span-24\" class=\"mn\">200</span><span id=\"MathJax-Span-25\" class=\"mo\">–</span><span id=\"MathJax-Span-26\" class=\"mn\">1800</span><span id=\"MathJax-Span-27\" class=\"mspace\"></span><span id=\"MathJax-Span-28\" class=\"mi\">μ</span><span id=\"MathJax-Span-29\" class=\"mi\">eq</span><span id=\"MathJax-Span-30\" class=\"mo\">/</span><span id=\"MathJax-Span-31\" class=\"mtext\">liter</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">200–1800μeq/liter</span></span></span></span><span>, and lake water has a chloride concentration of </span><span id=\"inline-formula-4\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M4&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mn>104</mn><mspace width=&quot;0.3em&quot; /><mi>&amp;#x3BC;</mi><mi>eq</mi><mo>/</mo><mtext>liter</mtext></mrow></math>\"><span id=\"M4\" class=\"math\"><span><span><span id=\"MathJax-Span-33\" class=\"mrow\"><span id=\"MathJax-Span-34\" class=\"mrow\"><span id=\"MathJax-Span-35\" class=\"mn\">104</span><span id=\"MathJax-Span-36\" class=\"mspace\"></span><span id=\"MathJax-Span-37\" class=\"mi\">μ</span><span id=\"MathJax-Span-38\" class=\"mi\">eq</span><span id=\"MathJax-Span-39\" class=\"mo\">/</span><span id=\"MathJax-Span-40\" class=\"mtext\">liter</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">104μeq/liter</span></span></span></span><span>. The extent of the plume was estimated and mapped using resistivity and water-sample data. The plume (</span><span id=\"inline-formula-5\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M5&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mn>20</mn><mo>&amp;#xD7;</mo><mn>35</mn><mspace width=&quot;0.3em&quot; /><mi mathvariant=&quot;normal&quot;>m</mi></mrow></math>\"><span id=\"M5\" class=\"math\"><span><span><span id=\"MathJax-Span-42\" class=\"mrow\"><span id=\"MathJax-Span-43\" class=\"mrow\"><span id=\"MathJax-Span-44\" class=\"mn\">20</span><span id=\"MathJax-Span-45\" class=\"mo\">×</span><span id=\"MathJax-Span-46\" class=\"mn\">35</span><span id=\"MathJax-Span-47\" class=\"mspace\"></span><span id=\"MathJax-Span-48\" class=\"mi\">m</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">20×35m</span></span></span></span><span> wide and at least </span><span id=\"inline-formula-6\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-6-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M6&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mn>3</mn><mspace width=&quot;0.3em&quot; /><mi mathvariant=&quot;normal&quot;>m</mi></mrow></math>\"><span id=\"M6\" class=\"math\"><span><span><span id=\"MathJax-Span-50\" class=\"mrow\"><span id=\"MathJax-Span-51\" class=\"mrow\"><span id=\"MathJax-Span-52\" class=\"mn\">3</span><span id=\"MathJax-Span-53\" class=\"mspace\"></span><span id=\"MathJax-Span-54\" class=\"mi\">m</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">3m</span></span></span></span><span> thick) extends nearly the full length and width of a small inlet, overlying the top of a basin formed by the bedrock. It would not have been possible to mapthe plume's shape without the resistivity surveys because wells provided only limited coverage. Seepage meters were installed approximately </span><span id=\"inline-formula-7\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-7-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M7&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mn>40</mn><mspace width=&quot;0.3em&quot; /><mi mathvariant=&quot;normal&quot;>m</mi></mrow></math>\"><span id=\"M7\" class=\"math\"><span><span><span id=\"MathJax-Span-56\" class=\"mrow\"><span id=\"MathJax-Span-57\" class=\"mrow\"><span id=\"MathJax-Span-58\" class=\"mn\">40</span><span id=\"MathJax-Span-59\" class=\"mspace\"></span><span id=\"MathJax-Span-60\" class=\"mi\">m</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">40m</span></span></span></span><span> from the mouth of a small stream discharging at the head of the inlet in an area where the resistivity data indicated lake sediments are thin. These meters recorded in-seepage of chloride-enriched groundwater at rates similar to those observed closer to shore, which was unexpected because seepage usually declines away from shore. Although the concentration of road salt in the northeast inlet stream is declining, the plume map and seepage data indicate the groundwater contribution of road salt to the lake is not declining. The findings demonstrate the benefit of combining geophysical and hydrologic data to characterize discharge of a plume beneath Mirror Lake. The extent of the plume in groundwater beneath the lake and stream indicate there will likely be a long-term source of chloride to the lake from groundwater.</span></p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3467505","usgsCitation":"Toran, L., Johnson, M., Nyquist, J.E., and Rosenberry, D.O., 2010, Delineating a road-salt plume in lakebed sediments using electrical resistivity, piezometers, and seepage meters at Mirror Lake, New Hampshire, U.S.A: Geophysics, v. 75, no. 4, p. WA75-WA83, https://doi.org/10.1190/1.3467505.","productDescription":"9 p.","startPage":"WA75","endPage":"WA83","numberOfPages":"9","ipdsId":"IP-016831","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":330977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire","otherGeospatial":"Mirror Lake","volume":"75","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582adb46e4b0c253bdfff0c0","contributors":{"authors":[{"text":"Toran, Laura","contributorId":81622,"corporation":false,"usgs":false,"family":"Toran","given":"Laura","email":"","affiliations":[{"id":34225,"text":"Temple University, Philadelphia, Pa.","active":true,"usgs":false}],"preferred":false,"id":653605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Melanie","contributorId":176824,"corporation":false,"usgs":false,"family":"Johnson","given":"Melanie","email":"","affiliations":[],"preferred":false,"id":653606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nyquist, Jonathan E.","contributorId":101801,"corporation":false,"usgs":false,"family":"Nyquist","given":"Jonathan","email":"","middleInitial":"E.","affiliations":[{"id":34225,"text":"Temple University, Philadelphia, Pa.","active":true,"usgs":false}],"preferred":false,"id":653604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":653603,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179289,"text":"70179289 - 2010 - Hydraulic alterations resulting from hydropower development in the Bonneville Reach of the Columbia River","interactions":[],"lastModifiedDate":"2016-12-27T12:42:57","indexId":"70179289","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Hydraulic alterations resulting from hydropower development in the Bonneville Reach of the Columbia River","docAbstract":"<p><span>We used a two-dimensional (2D) hydrodynamic model to simulate and compare the hydraulic characteristics in a 74-km reach of the Columbia River (the Bonneville Reach) before and after construction of Bonneville Dam. For hydrodynamic modeling, we created a bathymetric layer of the Bonneville Reach from single-beam and multi-beam echo-sounder surveys, digital elevation models, and navigation surveys. We calibrated the hydrodynamic model at 100 and 300 kcfs with a user-defined roughness layer, a variable-sized mesh, and a U.S. Army Corps of Engineers backwater curve. We verified the 2D model with acoustic Doppler current profiler (ADCP) data at 14 transects and three flows. The 2D model was 88% accurate for water depths, and 77% accurate for velocities. We verified a pre-dam 2D model run at 126 kcfs using pre-dam aerial photos from September 1935. Hydraulic simulations indicated that mean water depths in the Bonneville Reach increased by 34% following dam construction, while mean velocities decreased by 58%. There are numerous activities that would benefit from data output from the 2D model, including biological sampling, bioenergetics, and spatially explicit habitat modeling.</span></p>","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.084.0301","usgsCitation":"Hatten, J.R., and Batt, T.R., 2010, Hydraulic alterations resulting from hydropower development in the Bonneville Reach of the Columbia River: Northwest Science, v. 84, no. 3, p. 207-222, https://doi.org/10.3955/046.084.0301.","productDescription":"16 p. ","startPage":"207","endPage":"222","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Bonneville Reach","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.89125061035155,\n              45.66252677926093\n            ],\n            [\n              -121.82876586914061,\n              45.68459713847793\n            ],\n            [\n              -121.79992675781249,\n              45.689873543553325\n            ],\n            [\n              -121.71409606933594,\n              45.68459713847793\n            ],\n            [\n              -121.64199829101561,\n              45.69419023205748\n            ],\n            [\n              -121.51840209960936,\n              45.70713829853575\n            ],\n            [\n              -121.46690368652344,\n              45.69083283645816\n            ],\n            [\n              -121.41746520996094,\n              45.67788099401186\n            ],\n            [\n              -121.37489318847656,\n              45.69227174496596\n            ],\n            [\n              -121.3336944580078,\n              45.693710616454496\n            ],\n            [\n              -121.29524230957031,\n              45.67692147898962\n            ],\n            [\n              -121.23207092285156,\n              45.65724779513408\n            ],\n            [\n              -121.21009826660155,\n              45.627484212338246\n            ],\n            [\n              -121.19842529296875,\n              45.59770481736448\n            ],\n            [\n              -121.15310668945312,\n              45.59049774946348\n            ],\n            [\n              -121.09130859375,\n              45.622682153628226\n            ],\n            [\n              -121.08032226562499,\n              45.64092778836502\n            ],\n            [\n              -121.08924865722656,\n              45.655328041141374\n            ],\n            [\n              -121.13456726074219,\n              45.627484212338246\n            ],\n            [\n              -121.1743927001953,\n              45.620280970017625\n            ],\n            [\n              -121.19979858398438,\n              45.66876493700009\n            ],\n            [\n              -121.2615966796875,\n              45.69802700880466\n            ],\n            [\n              -121.33987426757812,\n              45.71672752568247\n            ],\n            [\n              -121.42433166503905,\n              45.708576787494145\n            ],\n            [\n              -121.5039825439453,\n              45.732546153514406\n            ],\n            [\n              -121.60629272460938,\n              45.73158757630444\n            ],\n            [\n              -121.68869018554686,\n              45.71672752568247\n            ],\n            [\n              -121.77864074707031,\n              45.7176863579072\n            ],\n            [\n              -121.82395935058594,\n              45.722000899316875\n            ],\n            [\n              -121.90361022949219,\n              45.691792112909965\n            ],\n            [\n              -121.92420959472655,\n              45.66972459187521\n            ],\n            [\n              -121.91802978515625,\n              45.65964739507404\n            ],\n            [\n              -121.8939971923828,\n              45.655328041141374\n            ],\n            [\n              -121.89125061035155,\n              45.66252677926093\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58638bd4e4b0cd2dabe7beb4","contributors":{"authors":[{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batt, Thomas R. tbatt@usgs.gov","contributorId":3432,"corporation":false,"usgs":true,"family":"Batt","given":"Thomas","email":"tbatt@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656657,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70156674,"text":"70156674 - 2010 - Discriminating silt-and-clay from suspended-sand in rivers using side-looking acoustic profilers","interactions":[],"lastModifiedDate":"2021-11-09T16:59:09.052305","indexId":"70156674","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Discriminating silt-and-clay from suspended-sand in rivers using side-looking acoustic profilers","docAbstract":"<p><span>The ability to accurately monitor suspended-sediment flux in rivers is needed to support many types of studies, because the sediment that typically travels in suspension affects geomorphology and aquatic habitat in a variety of ways (e.g. bank and floodplain deposition, bar morphology, light penetration and primary productivity, tidal wetland deposition in the context of sea-level rise, sediment-associated contaminants, reservoir sedimentation and potential erosion during dam removal, among others). In addition, human-induced changes to the landscape have resulted in substantially altered suspended-sediment loads (Syvitski et al., 2005). Thus, accurate monitoring of suspended-sediment flux is necessary for informed resource management of rivers. Because of this need, a variety of techniques have been developed and applied for suspendedsediment monitoring. The traditional approach in the United States, which was developed and has been used extensively by the U.S. Geological Survey (USGS), is to collect an isokinetic, velocity-weighted sample from a river cross-section, analyze the sample in the laboratory, and use water-discharge records to compute a record of suspended-sediment flux (Guy, 1969, Guy, 1970, Edwards and Glysson, 1999, Porterfield, 1972). The labor and expense associated with this traditional approach is substantial such that the number of USGS gages reporting daily records of suspended-sediment flux decreased from 364 in 1981 to 120 in 2003 (Osterkamp et al., 2004). Also, the traditional sampling approach is limited with respect to the temporal resolution that can be achieved, thus requiring the use of approximate relations between suspended-sediment concentration and water discharge to fill gaps between samples. To address these limitations, several indirect or \"surrogate\" measures have been investigated (see e.g. Gray and Gartner, 2009) most notably optical backscatter (i.e. turbidity), laser-diffraction, and acoustic backscatter. These indirect techniques rely on measurements of ancillary properties that correlate with suspended-sediment concentration and particle size and thus require the collection of traditional samples for calibration. Through in situ deployments, these methods can provide the high temporal resolution that cannot be achieved through traditional sampling. Here we focus on the evaluation of acoustic profiling techniques (e.g. acoustic-Doppler sideways-looking profilers, or ADPs). One major advantage of acoustic profiling is the ability to concurrently measure water velocity (using Doppler-shift methods) and suspended-sediment concentration such that suspended-sediment flux can be directly computed using data from a single instrument. Acoustic-Doppler profilers have become popular for measuring water velocity and discharge in rivers, through both moving-boat operations and from fixed deployments such as bank-mounted sideways-looking instruments (Hirsch and Costa, 2004, Muste et al., 2007). The method presented herein is most suited to sideways-looking applications as a complement to the \"index velocity\" technique, whereby an index velocity from a sideways-looking instrument is related to the cross-section average velocity (determined from moving-boat discharge measurements) as a means for developing a continuous water-discharge record (Ruhl and Simpson, 2005). Topping et al. (2007) presented a method for discriminating silt-and-clay from suspended sand, using single frequency ADPs. This method takes advantage of the relations among acoustic backscatter, sediment-induced acoustic attenuation, suspended-sediment concentration (SSC), and particle size distribution (PSD). Backscatter is the amount of sound scattered back and received at the transducer while sediment-induced attenuation is the amount of sound scattered in other directions and absorbed by the sediment particles. Both of these parameters can be measured with an ADP, and their different dependencies on SSC and PSD allow for the discrimination of suspended silt-and-clay from suspended sand. Topping et al. (2007) describe application of the method at several sites along the Colorado River in Grand Canyon, and herein we present an example application of the technique for the Gunnison River, CO. However, the methods general applicability in rivers has yet to be evaluated due to a lack of concurrent acoustic and sediment data at a range of sites. To this end, the objective of the analysis presented herein is to evaluate the potential general applicability of the method, drawing from the extensive USGS database on SSC and PSD. We refer to it as \"potential\" general applicability because it relies on the theory underlying the previous empirical results. Use of the theoretical relations is necessary due to the lack of concurrent ADP and SSC/PSD data, but also serves the additional purpose of providing further justification of the empirical calibrations developed for the Colorado and Gunnison Rivers.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues","conferenceDate":"June 27-July 1 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Wright, S., Topping, D.J., and Williams, C.A., 2010, Discriminating silt-and-clay from suspended-sand in rivers using side-looking acoustic profilers, <i>in</i> Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues, Las Vegas, Nevada, June 27-July 1 2010, 12 p.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010590","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":307470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dd91b1e4b0518e354dd150","contributors":{"authors":[{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":569906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":569907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":569908,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156662,"text":"70156662 - 2010 - Climate change and climate systems influence and control the atmospheric dispersion of desert dust: implications for human health","interactions":[],"lastModifiedDate":"2017-05-04T10:51:29","indexId":"70156662","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Climate change and climate systems influence and control the atmospheric dispersion of desert dust: implications for human health","docAbstract":"<p><span>The global dispersion of desert dust through Earth&rsquo;s atmosphere is greatly influenced by temperature. Temporal analyses of ice core data have demonstrated that enhanced dust dispersion occurs during glacial events. This is due to an increase in ice cover, which results in an increase in drier terrestrial cover. A shorter temporal analysis of dust dispersion data over the last 40 years has demonstrated an increase in dust transport. Climate systems or events such as the North Atlantic Oscillation, the Indian Ocean subtropical High, Pacific Decadal Oscillation, and El Nino-Sothern Oscillation are known to influence global short-term dust dispersion occurrence and transport routes. Anthropogenic influences on dust transport include deforestation, harmful use of topsoil for agriculture as observed during the American Dust Bowl period, and the creation of dry seas (Aral Sea) and lakes (Lake Owens in California and Lake Chad in North Africa) through the diversion of source waters (for irrigation and drinking water supplies). Constituents of desert dust both from source regions (pathogenic microorganisms, organic and inorganic toxins) and those scavenged through atmospheric transport (i.e., industrial and agricultural emissions) are known to directly impact human and ecosystem health. This presentation will present a review of global scale dust storms and how these events can be both a detriment and benefit to various organisms in downwind environments.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"International Seminar on Nuclear War and Planetary Emergencies 42nd session","conferenceTitle":"International Seminar on Nuclear War and Planetary Emergencies 42nd session","conferenceDate":"August 19-24 2009","conferenceLocation":"Erice, Italy","language":"English","publisher":"World Scientific","doi":"10.1142/9789814327503_0046","usgsCitation":"Griffin, D.W., 2010, Climate change and climate systems influence and control the atmospheric dispersion of desert dust: implications for human health, <i>in</i> International Seminar on Nuclear War and Planetary Emergencies 42nd session, Erice, Italy, August 19-24 2009, p. 503-507, https://doi.org/10.1142/9789814327503_0046.","productDescription":"5 p.","startPage":"503","endPage":"507","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-015745","costCenters":[{"id":5052,"text":"FLWSC-Tallahassee","active":true,"usgs":true}],"links":[{"id":307448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-01-26","publicationStatus":"PW","scienceBaseUri":"57fe8262e4b0824b2d1485a5","contributors":{"editors":[{"text":"Ragaini, Richard C.","contributorId":147012,"corporation":false,"usgs":false,"family":"Ragaini","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":569850,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":569849,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70169301,"text":"70169301 - 2010 - Calibrating recruitment estimates for mourning doves from harvest age ratios","interactions":[],"lastModifiedDate":"2016-03-24T11:40:55","indexId":"70169301","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Calibrating recruitment estimates for mourning doves from harvest age ratios","docAbstract":"<p><span>We examined results from the first national-scale effort to estimate mourning dove (</span><i>Zenaida macroura</i><span>) age ratios and developed a simple, efficient, and generalizable methodology for calibrating estimates. Our method predicted age classes of unknown-age wings based on backward projection of molt distributions from fall harvest collections to preseason banding. We estimated 1) the proportion of late-molt individuals in each age class, and 2) the molt rates of juvenile and adult birds. Monte Carlo simulations demonstrated our estimator was minimally biased. We estimated model parameters using 96,811 wings collected from hunters and 42,189 birds banded during preseason from 68 collection blocks in 22 states during the 2005&ndash;2007 hunting seasons. We also used estimates to derive a correction factor, based on latitude and longitude of samples, which can be applied to future surveys. We estimated differential vulnerability of age classes to harvest using data from banded birds and applied that to harvest age ratios to estimate population age ratios. Average, uncorrected age ratio of known-age wings for states that allow hunting was 2.25 (SD 0.85) juveniles:adult, and average, corrected ratio was 1.91 (SD 0.68), as determined from harvest age ratios from an independent sample of 41,084 wings collected from random hunters in 2007 and 2008. We used an independent estimate of differential vulnerability to adjust corrected harvest age ratios and estimated the average population age ratio as 1.45 (SD 0.52), a direct measure of recruitment rates. Average annual recruitment rates were highest east of the Mississippi River and in the northwestern United States, with lower rates between. Our results demonstrate a robust methodology for calibrating recruitment estimates for mourning doves and represent the first large-scale estimates of recruitment for the species. Our methods can be used by managers to correct future harvest survey data to generate recruitment estimates for use in formulating harvest management strategies.</span></p>","language":"English","publisher":"Wiley","doi":"10.2193/2009-409","usgsCitation":"Miller, D.A., and Otis, D.L., 2010, Calibrating recruitment estimates for mourning doves from harvest age ratios: Journal of Wildlife Management, v. 74, no. 5, p. 1070-1078, https://doi.org/10.2193/2009-409.","productDescription":"9 p.","startPage":"1070","endPage":"1078","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-016350","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":319361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"56f50fb1e4b0f59b85e1eaa2","contributors":{"authors":[{"text":"Miller, David A.","contributorId":29193,"corporation":false,"usgs":false,"family":"Miller","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":623492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otis, David L.","contributorId":78455,"corporation":false,"usgs":true,"family":"Otis","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":623621,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70209303,"text":"70209303 - 2010 - New York-Alabama lineament: A buried right-slip fault bordering the Appalachians and mid-continent North America","interactions":[],"lastModifiedDate":"2020-03-27T13:37:26","indexId":"70209303","displayToPublicDate":"2010-06-30T13:26:46","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"New York-Alabama lineament: A buried right-slip fault bordering the Appalachians and mid-continent North America","docAbstract":"<p><span>The&nbsp;</span><span class=\"ScopusTermHighlight\">New</span><span>&nbsp;York-Alabama (NY-AL)&nbsp;</span><span class=\"ScopusTermHighlight\">lineament</span><span>, recognized in 1978, is a magnetic anomaly that delineates a fundamental though historically enigmatic crustal boundary in eastern North America that is deeply buried beneath the Appalachian basin. Data not in the original aeromagnetic data set, particularly the lack of any information available at the time to constrain the southern continuation of the anomaly southwest of Tennessee, left the source of the&nbsp;</span><span class=\"ScopusTermHighlight\">lineament</span><span>&nbsp;open to conjecture. We use modern digital aeromagnetic maps to fill in these data gaps and, for the first time, constrain the southern termination of the NY-AL&nbsp;</span><span class=\"ScopusTermHighlight\">lineament</span><span>. Our analysis indicates that the&nbsp;</span><span class=\"ScopusTermHighlight\">lineament</span><span>&nbsp;reflects a crustal-scale, right-lateral strike-slip fault that has displaced anomalies attributed to Grenville orogenesis by ~220 km. Palinspastic restoration of this displacement rearranges the trace of the Grenville belt in southern Rodinia and implies only passive influence on later-formed Appalachian structures. The precise timing of dextral movement on the NY-AL structure is not resolvable from the existing data set, but it must have occurred during one of, or combinations of, the following events: (1) a late, postcontractional (post-Ottawan) stage of the Grenville orogeny; (2) late Neoproterozoic to Cambrian rifting of Laurentia; or (3) right-slip reactivation during the late Neoproterozoic-Cambrian rifting of Laurentia, or during Appalachian movements. Our palinspastic reconstruction also implies that the host rocks for modern earthquakes in the Eastern Tennessee Seismic Zone are metasedimentary gneisses, and it provides an explanation for the spatial location and size of the seismic zone. © 2010 Geological Society of America.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G30978.1","issn":"00917613","usgsCitation":"Steltenpohl, M., Zietz, I., Horton,, J., and Daniels, D.L., 2010, New York-Alabama lineament: A buried right-slip fault bordering the Appalachians and mid-continent North America: Geology, v. 38, no. 6, p. 571-574, https://doi.org/10.1130/G30978.1.","productDescription":"4 p. ","startPage":"571","endPage":"574","costCenters":[],"links":[{"id":373612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States ","state":"New York, Pennsylvania, Ohio, Kentucky, Tennessee, Virginia, West Virginia, Maryland ","otherGeospatial":"Appalachian Basin ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.9814453125,\n              44.02442151965934\n            ],\n            [\n              -77.431640625,\n              43.26120612479979\n            ],\n            [\n              -78.837890625,\n              43.229195113965005\n            ],\n            [\n              -82.96875,\n              41.47566020027821\n            ],\n            [\n              -83.75976562499999,\n              38.92522904714054\n            ],\n            [\n              -86.8359375,\n              36.84446074079564\n            ],\n            [\n              -87.8466796875,\n              35.782170703266075\n            ],\n            [\n              -78.7060546875,\n              37.89219554724437\n            ],\n            [\n              -75.6298828125,\n              40.64730356252251\n            ],\n            [\n              -74.4873046875,\n              42.22851735620852\n            ],\n            [\n              -75.9814453125,\n              44.02442151965934\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Steltenpohl, M.G.","contributorId":6272,"corporation":false,"usgs":true,"family":"Steltenpohl","given":"M.G.","affiliations":[],"preferred":false,"id":785981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zietz, I.","contributorId":59937,"corporation":false,"usgs":true,"family":"Zietz","given":"I.","email":"","affiliations":[],"preferred":false,"id":785982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton,, J. Wright Jr. 0000-0001-6756-6365","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":219824,"corporation":false,"usgs":true,"family":"Horton,","given":"J. Wright","suffix":"Jr.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":785983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daniels, D. L.","contributorId":69114,"corporation":false,"usgs":true,"family":"Daniels","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":785984,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98482,"text":"ds69V - 2010 - Petroleum systems and geologic assessment of oil and gas in the Bighorn Basin Province, Wyoming and Montana","interactions":[],"lastModifiedDate":"2022-05-02T20:33:58.416758","indexId":"ds69V","displayToPublicDate":"2010-06-30T07:00:00","publicationYear":"2010","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":"69","chapter":"V","title":"Petroleum systems and geologic assessment of oil and gas in the Bighorn Basin Province, Wyoming and Montana","docAbstract":"The U.S. Geological Survey (USGS) recently completed an assessment of the undiscovered oil and gas potential of the Bighorn Basin Province, which encompasses about 6.7 million acres in north-central Wyoming and southern Montana. The assessment is based on the geologic elements of each total petroleum system defined in the province, including petroleum source rocks (source-rock maturation, petroleum generation, and migration), reservoir rocks (sequence stratigraphy and petrophysical properties), and traps (trap formation and timing). Using this geologic framework, the USGS defined two total petroleum systems: (1) Phosphoria, and (2) Cretaceous-Tertiary Composite. Within these two systems, eight assessment units (AU) were defined, and undiscovered oil and gas resources were quantitatively estimated within each AU.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Assessment of Oil and Gas Project","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds69V","usgsCitation":"U.S. Geological Survey Bighorn Basin Province Assessment Team, 2010, Petroleum systems and geologic assessment of oil and gas in the Bighorn Basin Province, Wyoming and Montana: U.S. Geological Survey Data Series 69, HTML Document; CD-ROM, https://doi.org/10.3133/ds69V.","productDescription":"HTML Document; CD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":125926,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_69_v.jpg"},{"id":399988,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93270.htm"},{"id":13806,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-v/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Bighorn Basin Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.9125,\n              43.3333\n            ],\n            [\n              -107.0333,\n              43.3333\n            ],\n            [\n              -107.0333,\n              45.45\n            ],\n            [\n              -109.9125,\n              45.45\n            ],\n            [\n              -109.9125,\n              43.3333\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db698569","contributors":{"authors":[{"text":"U.S. Geological Survey Bighorn Basin Province Assessment Team","contributorId":127973,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Bighorn Basin Province Assessment Team","id":535029,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98483,"text":"fs20103039 - 2010 - Geospatial Information Response Team","interactions":[],"lastModifiedDate":"2012-02-02T00:14:43","indexId":"fs20103039","displayToPublicDate":"2010-06-30T00:00:00","publicationYear":"2010","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":"2010-3039","title":"Geospatial Information Response Team","docAbstract":"Extreme emergency events of national significance that include manmade and natural disasters seem to have become more frequent during the past two decades. The Nation is becoming more resilient to these emergencies through better preparedness, reduced duplication, and establishing better communications so every response and recovery effort saves lives and mitigates the long-term social and economic impacts on the Nation. The National Response Framework (NRF) (http://www.fema.gov/NRF) was developed to provide the guiding principles that enable all response partners to prepare for and provide a unified national response to disasters and emergencies. The NRF provides five key principles for better preparation, coordination, and response: 1) engaged partnerships, 2) a tiered response, 3) scalable, flexible, and adaptable operations, 4) unity of effort, and 5) readiness to act. The NRF also describes how communities, tribes, States, Federal Government, privatesector, and non-governmental partners apply these principles for a coordinated, effective national response. The U.S. Geological Survey (USGS) has adopted the NRF doctrine by establishing several earth-sciences, discipline-level teams to ensure that USGS science, data, and individual expertise are readily available during emergencies. The Geospatial Information Response Team (GIRT) is one of these teams.\r\n\r\nThe USGS established the GIRT to facilitate the effective collection, storage, and dissemination of geospatial data information and products during an emergency. The GIRT ensures that timely geospatial data are available for use by emergency responders, land and resource managers, and for scientific analysis. In an emergency and response capacity, the GIRT is responsible for establishing procedures for geospatial data acquisition, processing, and archiving; discovery, access, and delivery of data; anticipating geospatial needs; and providing coordinated products and services utilizing the USGS' exceptional pool of geospatial experts and equipment.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103039","usgsCitation":"Witt, E.C., 2010, Geospatial Information Response Team: U.S. Geological Survey Fact Sheet 2010-3039, 2 p., https://doi.org/10.3133/fs20103039.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":425,"text":"National Geospatial Technical Operations Center","active":false,"usgs":true}],"links":[{"id":125927,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3039.jpg"},{"id":13869,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3039/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c17b","contributors":{"authors":[{"text":"Witt, Emitt C. III 0000-0002-1814-7807 ecwitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7807","contributorId":1612,"corporation":false,"usgs":true,"family":"Witt","given":"Emitt","suffix":"III","email":"ecwitt@usgs.gov","middleInitial":"C.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":305479,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98484,"text":"ofr20101104 - 2010 - Karst map of Puerto Rico","interactions":[],"lastModifiedDate":"2018-02-08T15:45:19","indexId":"ofr20101104","displayToPublicDate":"2010-06-30T00:00:00","publicationYear":"2010","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":"2010-1104","title":"Karst map of Puerto Rico","docAbstract":"This map is a digital compilation, combining the mapping of earlier geologists. Their work, cited on the map, contains more detailed descriptions of karst areas and landforms in Puerto Rico. This map is the basis for the Puerto Rico part of a new national karst map currently being compiled by the U.S. Geological Survey. In addition, this product is a standalone, citable source of digital karst data for Puerto Rico. Nearly 25 percent of the United States is underlain by karst terrain, and a large part of that area is undergoing urban and industrial development. Accurate delineations of karstic rocks are needed at scales suitable for national, State, and local maps. The data on this map contribute to a better understanding of subsidence hazards, groundwater contamination potential, and cave resources as well as serve as a guide to topical research on karst. Because the karst data were digitized from maps having a different scale and projection from those on the base map used for this publication, some karst features may not coincide perfectly with physiographic features portrayed on the base map. \r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101104","usgsCitation":"2010, Karst map of Puerto Rico: U.S. Geological Survey Open-File Report 2010-1104, Map; GIS files; Metadata files, https://doi.org/10.3133/ofr20101104.","productDescription":"Map; GIS files; Metadata files","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":13870,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1104/","linkFileType":{"id":5,"text":"html"}},{"id":126631,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1104.jpg"}],"projection":"Polyconic 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Some differences in the nature of these two periods of high flow were evident. Preliminary results indicate that it might be possible to better understand the extent of sediment and nutrient loading in Galveston Bay using selected measurements of discrete and continuous water-quality data. An apparent correlation was observed between the concentrations of selected nutrients and suspended sediment, and an apparent correlation was observed between suspended sediment and total nutrient concentration measured with in-situ turbidity measurements during periods of high flow in Trinity River at the Wallisville, Texas gage, about 3.5 miles upstream from where the Trinity River enters Galveston Bay. Additional data are needed to confirm these preliminary results. &nbsp;</p>","conferenceTitle":"Joint Federal Interagency Conference 2010","conferenceDate":"June 27-July 1, 2010","language":"English","publisher":"Joint Federal Interagency Conference","publisherLocation":"Las Vegas, Nevada","usgsCitation":"Lee, M.T., 2010, A preliminary evaluation of Trinity river sediment and nutrient loads into Galveston Bay, Texas, during two periods of high flow, Joint Federal Interagency Conference 2010, June 27-July 1, 2010, 12 p.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019930","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":306997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Galveston Bay, Trinity River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n  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,{"id":70156415,"text":"70156415 - 2010 - An automated and universal method for measuring mean grain size from a digital image of sediment","interactions":[],"lastModifiedDate":"2015-08-21T09:02:41","indexId":"70156415","displayToPublicDate":"2010-06-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An automated and universal method for measuring mean grain size from a digital image of sediment","docAbstract":"<p><span>Existing methods for estimating mean grain size of sediment in an image require either complicated sequences of image processing (filtering, edge detection, segmentation, etc.) or statistical procedures involving calibration. We present a new approach which uses Fourier methods to calculate grain size directly from the image without requiring calibration. Based on analysis of over 450 images, we found the accuracy to be within approximately 16% across the full range from silt to pebbles. Accuracy is comparable to, or better than, existing digital methods. The new method, in conjunction with recent advances in technology for taking appropriate images of sediment in a range of natural environments, promises to revolutionize the logistics and speed at which grain-size data may be obtained from the field.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010 : Hydrology and sedimentation for a changing future : existing and emerging issues","conferenceTitle":"Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling","conferenceDate":"June 27-July 1, 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"Joint Federal Interagency Conference","publisherLocation":"Las Vegas, Nevada","usgsCitation":"Buscombe, D.D., Rubin, D.M., and Warrick, J., 2010, An automated and universal method for measuring mean grain size from a digital image of sediment, <i>in</i> Proceedings of the Joint Federal Interagency Conference 2010 : Hydrology and sedimentation for a changing future : existing and emerging issues, Las Vegas, Nevada, June 27-July 1, 2010, 9 p.","productDescription":"9 p.","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307084,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d84baee4b0518e3546efc7","contributors":{"authors":[{"text":"Buscombe, Daniel D. 0000-0001-6217-5584 dbuscombe@usgs.gov","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":5020,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","email":"dbuscombe@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":569092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":569093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warrick, Jonathan A. jwarrick@usgs.gov","contributorId":1904,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":569094,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70158669,"text":"70158669 - 2010 - Use of time series and harmonic constituents of tidal propagation to enhance estimation of coastal aquifer heterogeneity","interactions":[],"lastModifiedDate":"2021-10-28T15:48:42.260906","indexId":"70158669","displayToPublicDate":"2010-06-26T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Use of time series and harmonic constituents of tidal propagation to enhance estimation of coastal aquifer heterogeneity","docAbstract":"<p>A synthetic two‐dimensional model of a horizontally and vertically heterogeneous confined coastal aquifer system, based on the Upper Floridan aquifer in south Florida, USA, subjected to constant recharge and a complex tidal signal was used to generate 15‐minute water‐level data at select locations over a 7‐day simulation period.&nbsp;&nbsp; &ldquo;Observed&rdquo; water‐level data were generated by adding noise, representative of typical barometric pressure variations and measurement errors, to 15‐minute data from the synthetic model. Permeability was calibrated using a non‐linear gradient‐based parameter inversion approach with preferred‐value Tikhonov regularization and 1) &ldquo;observed&rdquo; water‐level data, 2) harmonic constituent data, or 3) a combination of &ldquo;observed&rdquo; water‐level and harmonic constituent data.&nbsp; &nbsp; In all cases, high‐frequency data used in the parameter inversion process were able to characterize broad‐scale heterogeneities; the ability to discern fine‐scale heterogeneity was greater when harmonic constituent data were used.&nbsp;&nbsp;These results suggest that the combined use of highly parameterized‐inversion techniques and high frequency time and/or processed‐harmonic constituent water‐level data could be a useful approach to better characterize aquifer heterogeneities in coastal aquifers influenced by ocean tides.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"SWIM21 – 21st Salt Water Intrusion Meeting Proceedings Book","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"21st Salt Water Intrusion Meeting (SWIM21 – AZORES 2010)","conferenceDate":"June 21-26, 2010","conferenceLocation":"Azores, Portugal","language":"English","publisher":"Wechselnde Verlagsorte","usgsCitation":"Hughes, J.D., White, J., and Langevin, C.D., 2010, Use of time series and harmonic constituents of tidal propagation to enhance estimation of coastal aquifer heterogeneity, <i>in</i> SWIM21 – 21st Salt Water Intrusion Meeting Proceedings Book, Azores, Portugal, June 21-26, 2010, p. 329-332.","productDescription":"4 p.","startPage":"329","endPage":"332","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021172","costCenters":[{"id":286,"text":"Florida Water Science Center-Ft. Lauderdale","active":false,"usgs":true}],"links":[{"id":309523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560faad7e4b0ba4884c5eed4","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":576441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":576442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":576443,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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