{"pageNumber":"730","pageRowStart":"18225","pageSize":"25","recordCount":46677,"records":[{"id":98229,"text":"sir20095243 - 2010 - Multilevel Hierarchical Modeling of Benthic Macroinvertebrate Responses to Urbanization in Nine Metropolitan Regions across the Conterminous United States","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20095243","displayToPublicDate":"2010-03-05T00:00:00","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":"2009-5243","title":"Multilevel Hierarchical Modeling of Benthic Macroinvertebrate Responses to Urbanization in Nine Metropolitan Regions across the Conterminous United States","docAbstract":"Multilevel hierarchical modeling methodology has been developed for use in ecological data analysis. The effect of urbanization on stream macroinvertebrate communities was measured across a gradient of basins in each of nine metropolitan regions across the conterminous United States. The hierarchical nature of this dataset was harnessed in a multi-tiered model structure, predicting both invertebrate response at the basin scale and differences in invertebrate response at the region scale. Ordination site scores, total taxa richness, Ephemeroptera, Plecoptera, Trichoptera (EPT) taxa richness, and richness-weighted mean tolerance of organisms at a site were used to describe invertebrate responses. Percentage of urban land cover was used as a basin-level predictor variable. Regional mean precipitation, air temperature, and antecedent agriculture were used as region-level predictor variables. Multilevel hierarchical models were fit to both levels of data simultaneously, borrowing statistical strength from the complete dataset to reduce uncertainty in regional coefficient estimates. Additionally, whereas non-hierarchical regressions were only able to show differing relations between invertebrate responses and urban intensity separately for each region, the multilevel hierarchical regressions were able to explain and quantify those differences within a single model. In this way, this modeling approach directly establishes the importance of antecedent agricultural conditions in masking the response of invertebrates to urbanization in metropolitan regions such as Milwaukee-Green Bay, Wisconsin; Denver, Colorado; and Dallas-Fort Worth, Texas. Also, these models show that regions with high precipitation, such as Atlanta, Georgia; Birmingham, Alabama; and Portland, Oregon, start out with better regional background conditions of invertebrates prior to urbanization but experience faster negative rates of change with urbanization. Ultimately, this urbanization-invertebrate response example is used to detail the multilevel hierarchical construction methodology, showing how the result is a set of models that are both statistically more rigorous and ecologically more interpretable than simple linear regression models.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095243","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Kashuba, R., Cha, Y., Alameddine, I., Lee, B., and Cuffney, T.F., 2010, Multilevel Hierarchical Modeling of Benthic Macroinvertebrate Responses to Urbanization in Nine Metropolitan Regions across the Conterminous United States: U.S. Geological Survey Scientific Investigations Report 2009-5243, xi, 88p., https://doi.org/10.3133/sir20095243.","productDescription":"xi, 88p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":125364,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5243.jpg"},{"id":13490,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5243/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -65,23 ], [ -65,50 ], [ -125,50 ], [ -125,23 ], [ -65,23 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b4890","contributors":{"authors":[{"text":"Kashuba, Roxolana","contributorId":82814,"corporation":false,"usgs":true,"family":"Kashuba","given":"Roxolana","affiliations":[],"preferred":false,"id":304731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cha, YoonKyung","contributorId":9741,"corporation":false,"usgs":true,"family":"Cha","given":"YoonKyung","email":"","affiliations":[],"preferred":false,"id":304728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alameddine, Ibrahim","contributorId":22459,"corporation":false,"usgs":true,"family":"Alameddine","given":"Ibrahim","email":"","affiliations":[],"preferred":false,"id":304730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Boknam","contributorId":14533,"corporation":false,"usgs":true,"family":"Lee","given":"Boknam","email":"","affiliations":[],"preferred":false,"id":304729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cuffney, Thomas F. 0000-0003-1164-5560 tcuffney@usgs.gov","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":517,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"tcuffney@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304727,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70209638,"text":"70209638 - 2010 - Diatom changes in two Uinta mountain lakes, Utah, USA: Responses to anthropogenic and natural atmospheric inputs","interactions":[],"lastModifiedDate":"2020-04-16T19:11:01.174121","indexId":"70209638","displayToPublicDate":"2010-03-04T14:06:04","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Diatom changes in two Uinta mountain lakes, Utah, USA: Responses to anthropogenic and natural atmospheric inputs","docAbstract":"<p><span>Diatom assemblages in sediments from two subalpine lakes in the Uinta Mountains, Utah, show asynchronous changes that are related to both anthropogenic and natural inputs of dust. These lakes are downwind of sources of atmospheric inputs originating from mining, industrial, urban, agricultural and natural sources that are distributed within tens to hundreds of kilometers west and south of the Uinta Mountains. Sediment cores were retrieved from Marshall and Hidden lakes to determine the impacts of atmospheric pollution, especially metals. Paleolimnological techniques, including elemental analyses and&nbsp;</span><sup>210</sup><span>Pb and&nbsp;</span><sup>239+240</sup><span>Pu dating, indicate that both lakes began receiving eolian inputs from anthropogenic sources in the late 1800s with the greatest increases occurring after the early 1900s. Over the last century, sediments in Marshall Lake, which is closer to the Wasatch Front and receives more precipitation than Hidden Lake, received twice the concentrations of metals and phosphorus as Hidden Lake. Comparison of diatom and elemental data reveals coeval changes in geochemistry and diatom assemblages at Marshall Lake, but not at Hidden Lake; however, a major shift in diatom assemblages occurs at Hidden Lake in the seventeenth century. The change in diatoms at Marshall Lake is marked by the near disappearance of&nbsp;</span><i>Cyclotella stelligera</i><span>&nbsp;and&nbsp;</span><i>C. pseudostelligera</i><span>&nbsp;and an increase in benthic, metal-tolerant diatoms. This change is similar to changes in other lakes that have been attributed to metal pollution. The marked change in diatom assemblages at Hidden Lake indicates a shift in lake-water pH from somewhat acidic to circumneutral. We hypothesize that this change in pH is related to drought-induced changes in input of carbonate-rich desert dust.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10750-010-0145-7","usgsCitation":"Moser, K., Mordecai, J.S., Reynolds, R.L., Rosenbaum, J.G., and Ketterer, M.E., 2010, Diatom changes in two Uinta mountain lakes, Utah, USA: Responses to anthropogenic and natural atmospheric inputs: Hydrobiologia, v. 648, p. 91-108, https://doi.org/10.1007/s10750-010-0145-7.","productDescription":"18 p.","startPage":"91","endPage":"108","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":374064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Uintas Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.70074462890625,\n              40.168380093142446\n            ],\n            [\n              -109.368896484375,\n              40.168380093142446\n            ],\n            [\n              -109.368896484375,\n              40.863679665481676\n            ],\n            [\n              -111.70074462890625,\n              40.863679665481676\n            ],\n            [\n              -111.70074462890625,\n              40.168380093142446\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"648","noUsgsAuthors":false,"publicationDate":"2010-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Moser, Katrina","contributorId":53487,"corporation":false,"usgs":true,"family":"Moser","given":"Katrina","email":"","affiliations":[],"preferred":false,"id":787319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mordecai, Jessica S.","contributorId":224206,"corporation":false,"usgs":false,"family":"Mordecai","given":"Jessica","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":787320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":139068,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":787321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenbaum, Joseph G. jrosenbaum@usgs.gov","contributorId":1524,"corporation":false,"usgs":true,"family":"Rosenbaum","given":"Joseph","email":"jrosenbaum@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":787322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ketterer, Michael E.","contributorId":28479,"corporation":false,"usgs":true,"family":"Ketterer","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":787323,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98225,"text":"ofr20101039 - 2010 - Relations Between Rainfall and Postfire Debris-Flow and Flood Magnitudes for Emergency-Response Planning, San Gabriel Mountains, Southern California","interactions":[],"lastModifiedDate":"2012-02-02T00:04:47","indexId":"ofr20101039","displayToPublicDate":"2010-03-03T00:00:00","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":"2010-1039","title":"Relations Between Rainfall and Postfire Debris-Flow and Flood Magnitudes for Emergency-Response Planning, San Gabriel Mountains, Southern California","docAbstract":"Following wildfires, emergency-response and public-safety agencies are faced often with making evacuation decisions and deploying resources both well in advance of each coming winter storm and during storms themselves. Information critical to this process is provided for recently burned areas in the San Gabriel Mountains of southern California. The National Weather Service (NWS) issues Quantitative Precipitation Forecasts (QPFs) for the San Gabriel Mountains twice a day, at approximately 4 a.m. and 4 p.m., along with unscheduled updates when conditions change. QPFs provide estimates of rainfall totals in 3-hour increments for the first 12-hour period and in 6-hour increments for the second 12-hour period. Estimates of one-hour rainfall intensities can be provided in the forecast narrative, along with probable peak intensities and timing, although with less confidence than rainfall totals. A compilation of information on the hydrologic response to winter storms from recently burned areas in southern California steeplands was used to develop a system for classifying the magnitude of the postfire hydrologic response. The four-class system is based on a combination of the reported volume of individual debris flows, the consequences of these events in an urban setting, and the spatial extent of the response to the triggering storm. Threshold rainfall conditions associated with debris flow and floods of different magnitude classes are defined by integrating local rainfall data with debris-flow and flood magnitude information. The within-storm rainfall accumulations (A) and durations (D) above which magnitude I events are expected are defined by A=0.3D0.6. The function A=0.5D0.6 defines the within-storm rainfall accumulations and durations above which a magnitude III event will occur in response to a regional-scale storm, and a magnitude II event will occur if the storm affects only a few drainage basins. The function A=1.0D0.5defines the rainfall conditions above which magnitude III events can be expected. Rainfall trigger-magnitude relations are linked with potential emergency-response actions in the form of an emergency-response decision chart. The chart leads a user through steps to determine potential event magnitudes, and identify possible evacuation and resource-deployment levels as a function of either individual storm forecasts or measured precipitation during storms. The ability to use this information in the planning and response decision-making process may result in significant financial savings and increased safety for both the public and emergency responders.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101039","collaboration":"In cooperation with the National Oceanic and Atmospheric Administration, National Weather Service\r\n","usgsCitation":"Cannon, S.H., Boldt, E.M., Kean, J.W., Laber, J., and Staley, D.M., 2010, Relations Between Rainfall and Postfire Debris-Flow and Flood Magnitudes for Emergency-Response Planning, San Gabriel Mountains, Southern California: U.S. Geological Survey Open-File Report 2010-1039, 31 p., https://doi.org/10.3133/ofr20101039.","productDescription":"31 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":428,"text":"National Landslide Information Center","active":false,"usgs":true}],"links":[{"id":133890,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13485,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1039/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c239","contributors":{"authors":[{"text":"Cannon, Susan H. cannon@usgs.gov","contributorId":1019,"corporation":false,"usgs":true,"family":"Cannon","given":"Susan","email":"cannon@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":304713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boldt, Eric M.","contributorId":88325,"corporation":false,"usgs":true,"family":"Boldt","given":"Eric","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":304714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laber, Jayme","contributorId":17580,"corporation":false,"usgs":true,"family":"Laber","given":"Jayme","affiliations":[],"preferred":false,"id":304716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":304715,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98226,"text":"ofr20101041 - 2010 - Reported Historic Asbestos Mines, Historic Asbestos Prospects, and Other Natural Occurrences of Asbestos in Oregon and Washington","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ofr20101041","displayToPublicDate":"2010-03-03T00:00:00","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":"2010-1041","title":"Reported Historic Asbestos Mines, Historic Asbestos Prospects, and Other Natural Occurrences of Asbestos in Oregon and Washington","docAbstract":"This map and its accompanying dataset provide information for 51 natural occurrences of asbestos in Washington and Oregon, using descriptions found in the geologic literature. Data on location, mineralogy, geology, and relevant literature for each asbestos site are provided. Using the map and digital data in this report, the user can examine the distribution of previously reported asbestos occurrences and their geological characteristics in the Pacific Northwest States of Washington and Oregon. This report is part of an ongoing study by the U.S. Geological Survey to identify and map reported natural asbestos occurrences in the United States, which thus far includes similar maps and datasets of natural asbestos occurrences within the Eastern United States (http://pubs.usgs.gov/of/2005/1189/), the Central United States (http://pubs.usgs.gov/of/2006/1211/), the Rocky Mountain States (http://pubs.usgs.gov/of/2007/1182/), and the Southwestern United States (http://pubs.usgs.gov/of/2008/1095/). These reports are intended to provide State and local government agencies and other stakeholders with geologic information on natural occurrences of asbestos in the United States.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101041","usgsCitation":"Van Gosen, B.S., 2010, Reported Historic Asbestos Mines, Historic Asbestos Prospects, and Other Natural Occurrences of Asbestos in Oregon and Washington: U.S. Geological Survey Open-File Report 2010-1041, Plate (PDF); References (PDF, XLS); Asbestos Sites (PDF, XLS); Fibrous Amphiboles (PDF, XLS), https://doi.org/10.3133/ofr20101041.","productDescription":"Plate (PDF); References (PDF, XLS); Asbestos Sites (PDF, XLS); Fibrous Amphiboles (PDF, XLS)","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":177,"text":"Central Region Mineral Resources Science Center","active":false,"usgs":true}],"links":[{"id":125433,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1041.jpg"},{"id":13486,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1041/","linkFileType":{"id":5,"text":"html"}}],"projection":"Lambert Conformal Conic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125,40 ], [ -125,50 ], [ -115,50 ], [ -115,40 ], [ -125,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f59b","contributors":{"authors":[{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":304718,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98220,"text":"sir20105006 - 2010 - Assessment of physical, chemical, and hydrologic factors affecting the infiltration of treated wastewater in the New Jersey Coastal Plain, with emphasis on the Hammonton Land Application Facility","interactions":[],"lastModifiedDate":"2023-11-30T20:06:52.710488","indexId":"sir20105006","displayToPublicDate":"2010-03-02T00:00:00","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":"2010-5006","title":"Assessment of physical, chemical, and hydrologic factors affecting the infiltration of treated wastewater in the New Jersey Coastal Plain, with emphasis on the Hammonton Land Application Facility","docAbstract":"A hydrogeologic and water-quality investigation of the Hammonton Land Application Facility (Hammonton LAF) in Hammonton, New Jersey, was conducted to determine the factors that impede the infiltration of treated wastewater and to assess the potential for similar conditions to exist elsewhere in the Coastal Plain of New Jersey (particularly within the Pinelands National Reserve). Gamma logs, sediment cores, and hydraulic-profile testing indicate that extensive fine-grained strata and iron-cemented sands underlying the Hammonton LAF may impede infiltration and lead to the perching of diluted treated wastewater. Perched water was observed in augured holes adjacent to infiltration trenches, and analysis of wastewater loading and infiltration data indicates that infiltration trenches may receive lateral flow from multiple perched-water sources. Analysis of water-quality properties characteristic of treated wastewater show that although infiltrated wastewater is reaching the underlying aquifer, lengthy holding times and a long recharge pathway greatly reduce the concentrations of nitrate, boron, and many organic compounds typical of wastewater. Conditions at two currently operating facilities and one potential future facility in the New Jersey Coastal Plain were compared to those at the Hammonton Land Application Facility (LAF). Facilities operating as designed are not underlain by the restrictive strata that exist at the Hammonton LAF. Careful characterization of the geology and hydrology of the unsaturated zone underlying infiltration structures of future facilities in the New Jersey Coastal Plain and similar hydrogeologic settings will help to avoid constructing infiltration structures over or within low-hydraulic-conductivity strata that will decrease infiltration rates.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105006","collaboration":"Prepared in cooperation with the New Jersey Pinelands Commission and the Town of Hammonton, New Jersey","usgsCitation":"Reilly, T.J., Romanok, K., Tessler, S., and Fischer, J., 2010, Assessment of physical, chemical, and hydrologic factors affecting the infiltration of treated wastewater in the New Jersey Coastal Plain, with emphasis on the Hammonton Land Application Facility: U.S. Geological Survey Scientific Investigations Report 2010-5006, viii, 50p., https://doi.org/10.3133/sir20105006.","productDescription":"viii, 50p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2006-11-01","temporalEnd":"2007-06-30","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":423104,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_92022.htm","linkFileType":{"id":5,"text":"html"}},{"id":13478,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5006/","linkFileType":{"id":5,"text":"html"}},{"id":359072,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5006/pdf/sir2010-5006.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":125369,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5006.jpg"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.2,\n              39.45\n            ],\n            [\n              -74.75,\n              39.45\n            ],\n            [\n              -74.75,\n              40\n            ],\n            [\n              -75.2,\n              40\n            ],\n            [\n              -75.2,\n              39.45\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db69730b","contributors":{"authors":[{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":304694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romanok, Kristin M.","contributorId":6523,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin M.","affiliations":[],"preferred":false,"id":304696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tessler, Steven stessler@usgs.gov","contributorId":3772,"corporation":false,"usgs":true,"family":"Tessler","given":"Steven","email":"stessler@usgs.gov","affiliations":[],"preferred":true,"id":304695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fischer, Jeffrey M. 0000-0003-2996-9272 fischer@usgs.gov","orcid":"https://orcid.org/0000-0003-2996-9272","contributorId":573,"corporation":false,"usgs":true,"family":"Fischer","given":"Jeffrey M.","email":"fischer@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":304693,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98221,"text":"ds482 - 2010 - EAARL coastal topography-western Florida, post-Hurricane Charley, 2004: seamless (bare earth and submerged. ","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"ds482","displayToPublicDate":"2010-03-02T00:00:00","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":"482","title":"EAARL coastal topography-western Florida, post-Hurricane Charley, 2004: seamless (bare earth and submerged. ","docAbstract":"Project Description\r\n\r\nThese remotely sensed, geographically referenced elevation measurements of lidar-derived seamless (bare-earth and submerged) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Coastal and Marine Geology Program (CMGP), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of a portion of the western Florida coastline beachface, acquired post-Hurricane Charley on August 17 and 18, 2004. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.\r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation.\r\n\r\nFor more information about similar projects, please visit the Decision Support for Coastal Science and Management website.\r\n\r\nSelected References\r\n\r\nBrock, J.C., Wright, C.W., Sallenger, A.H., Krabill, W.B., and Swift, R.N., 2002, Basis and methods of NASA airborne topographic mapper Lidar surveys for coastal studies: Journal of Coastal Research, v. 18, no. 1, p. 1-13.\r\n\r\nCrane, Michael, Clayton, Tonya, Raabe, Ellen, Stoker, Jason, Handley, Larry, Bawden, Gerald, Morgan, Karen, and Queija, Vivian, 2004, Report of the U.S. Geological Survey Lidar workshop sponsored by the Land Remote Sensing Program and held in St. Petersburg, FL, November 2002: U.S. Geological Survey Open-File Report 2004-1456, 72 p.\r\n\r\nNayegandhi, Amar, Brock, J.C., and Wright, C.W., 2009, Small-footprint, waveform-resolving Lidar estimation of submerged and sub-canopy topography in coastal environments: International Journal of Remote Sensing, v. 30, no. 4, p. 861-878.\r\n\r\nSallenger, A.H., Wright, C.W., and Lillycrop, Jeff, 2005, Coastal impacts of the 2004 hurricanes measured with airborne Lidar; initial results: Shore and Beach, v. 73, nos. 2-3, p. 10-14.\r\n\r\nResources Included\r\n\r\nReadme.txt File\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds482","collaboration":"These remotely sensed, geographically referenced elevation measurements of lidar-derived seamless (bare-earth and submerged) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Coastal and Marine Geology Program (CMGP), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.","usgsCitation":"Nayegandhi, A., Bonisteel, J.M., Wright, C.W., Sallenger, A., Brock, J., and Yates, X., 2010, EAARL coastal topography-western Florida, post-Hurricane Charley, 2004: seamless (bare earth and submerged. : U.S. Geological Survey Data Series 482, DVD, https://doi.org/10.3133/ds482.","productDescription":"DVD","onlineOnly":"N","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":125800,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_482.jpg"},{"id":13479,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/482/index.html","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.5,26.333333333333332 ], [ -82.5,27.333333333333332 ], [ -82,27.333333333333332 ], [ -82,26.333333333333332 ], [ -82.5,26.333333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c33d","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":304699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":304700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sallenger, A. H.","contributorId":78290,"corporation":false,"usgs":true,"family":"Sallenger","given":"A. H.","affiliations":[],"preferred":false,"id":304701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":304697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":304702,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98218,"text":"ofr20091288 - 2010 - Total dissolved gas and water temperature in the lower Columbia River, Oregon and Washington, water year 2009: Quality-assurance data and comparison to water-quality standards","interactions":[],"lastModifiedDate":"2022-10-04T21:57:26.930835","indexId":"ofr20091288","displayToPublicDate":"2010-03-02T00:00:00","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":"2009-1288","title":"Total dissolved gas and water temperature in the lower Columbia River, Oregon and Washington, water year 2009: Quality-assurance data and comparison to water-quality standards","docAbstract":"<h1 class=\"p1\">Significant Findings&nbsp;</h1>\n<p>When water is released through the spillways of dams, air is entrained in the water, increasing the downstream concentration of dissolved gases. Excess dissolved-gas concentrations can have adverse effects on freshwater aquatic life. The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers, collected dissolved-gas and water-temperature data at eight monitoring stations on the lower Columbia River in Oregon and Washington in 2009. Significant findings from the data include:</p>\n<ul>\n<li>During the spill season of April through August 2009, hourly values of total dissolved gas (TDG) were occasionally larger than 115-percent saturation for the forebay stations (John Day navigation lock, The Dalles forebay, Bonneville forebay, and Camas). Hourly values of total dissolved gas were occasionally larger than 120-percent saturation for two tailwater stations (John Day Dam tailwater and Cascade Island).</li>\n<li>From mid- to late July to mid-September 2009, water temperatures were greater than 20&deg;C (degrees Celsius) at seven stations on the lower Columbia River. According to the State of Oregon temperature standard, the 7-day average maximum temperature of the lower Columbia River should not exceed 20&deg;C; Washington regulations state that the 1-day maximum should not exceed 20&deg;C as a result of human activities.</li>\n<li>All 96 laboratory checks of the TDG sensors with a certified pressure gage were within 0.4 percent saturation after 3 to 4 weeks of deployment in the river.</li>\n<li>All but 2 of the 73 in situ field checks of TDG sensors with a secondary standard were within &plusmn; (plus or minus) 1.0-percent saturation after 3-4 weeks of deployment in the river. All 74 of the field checks of barometric pressure were within &plusmn;2.0 millimeters of mercury of a secondary standard, and all 65 water-temperature field checks were within &plusmn;0.2&deg;C.&nbsp;</li>\n<li>For the eight monitoring stations in water year 2009, a total of 99.2 percent of the TDG data were received in real time by the USGS satellite downlink and were within 1-percent saturation of the expected value on the basis of calibration data, replicate quality-control measurements in the river, and comparison to ambient river conditions at adjacent sites. Data received from the individual stations ranged from 97.0 to 100.0 percent complete.</li>\n</ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091288","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Tanner, D.Q., Bragg, H., and Johnston, M., 2010, Total dissolved gas and water temperature in the lower Columbia River, Oregon and Washington, water year 2009: Quality-assurance data and comparison to water-quality standards: U.S. Geological Survey Open-File Report 2009-1288, vi, 26 p., https://doi.org/10.3133/ofr20091288.","productDescription":"vi, 26 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-04-01","temporalEnd":"2009-09-30","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":125797,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1288.jpg"},{"id":407925,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_92021.htm","linkFileType":{"id":5,"text":"html"}},{"id":13476,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1288/","linkFileType":{"id":5,"text":"html"}},{"id":310698,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2009/1288/pdf/of20091288.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"lower Columbia River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          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Q.","contributorId":93452,"corporation":false,"usgs":true,"family":"Tanner","given":"Dwight","email":"","middleInitial":"Q.","affiliations":[],"preferred":false,"id":304690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bragg, Heather M. hmbragg@usgs.gov","contributorId":428,"corporation":false,"usgs":true,"family":"Bragg","given":"Heather M.","email":"hmbragg@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnston, Matthew W.","contributorId":38250,"corporation":false,"usgs":true,"family":"Johnston","given":"Matthew W.","affiliations":[],"preferred":false,"id":304689,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98223,"text":"sir20105017 - 2010 - Bathymetric and Velocimetric Survey and Assessment of Habitat for Pallid Sturgeon on the Mississippi River in the Vicinity of the Proposed Interstate 70 Bridge at St. Louis, Missouri","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105017","displayToPublicDate":"2010-03-02T00:00:00","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":"2010-5017","title":"Bathymetric and Velocimetric Survey and Assessment of Habitat for Pallid Sturgeon on the Mississippi River in the Vicinity of the Proposed Interstate 70 Bridge at St. Louis, Missouri","docAbstract":"A bathymetric and velocimetry survey was conducted on the Mississippi River in the vicinity of a proposed new bridge for Interstate 70 at St. Louis, Missouri. A multibeam echo sounder mapping system and an acoustic Doppler current profiler were used to obtain channel-bed elevations and vertically averaged and near-bed velocities for a 3,545-foot (1,080-meter) long reach of the Mississippi River approximately 1,935 feet (590 meters) wide from the Illinois to Missouri banks. Data from the 2009 survey were used to determine the conditions of the benthic habitat in the vicinity of the proposed Interstate 70 bridge.\r\n\r\nThe channel-bed elevations ranged from approximately 346 feet (105.46 meters) to 370 feet (112.78 meters) above the North American Vertical Datum of 1988 in a majority of the channel except for the channel banks. Large dune features up to 12.5 feet (3.81 meters) high were present in the middle of the channel, and numerous smaller dunes and many ripples as smaller features were superimposed on the larger dunes. However, it is uncertain if the large dune features present in mid-channel are long-term features or an artifact of the seasonal flooding on the Mississippi River. A substantial scour depression was present on the right descending bank (Missouri side) near the downstream end of the study area, as well as other smaller scour holes near the instream barge mooring structures on the Missouri bank.\r\n\r\nThe vertically averaged velocities acquired with the acoustic Doppler current profiler ranged from approximately 2 feet per second (0.61 meters per second) along the channel margins to approximately 7.0 feet per second (2.13 meters per second) in the main channel, with an average velocity of 5.5 feet per second (1.68 meters per second) in mid-channel. The orientation of the vertically averaged velocity vectors showed flow crossing from the Illinois bank to the Missouri bank from upstream to downstream in the study area, which was confirmed by the orientation of the large dune features in mid-channel and a shift in the channel thalweg from the Illinois bank to the Missouri bank. The near-bottom velocities acquired with the acoustic Doppler current profiler ranged from 0.3 to 7.0 feet per second (0.09 to 2.13 meters per second), and the effects of the large dune features were apparent in the more random scattering of the velocity vectors, the low velocities downstream from the dunes, and higher velocities near the crests of the dunes.\r\n\r\nDespite the considerable physical complexity of this site because of the arrangement of large sand dunes in the middle of the channel, existing studies do not document persistent use of these deep, fast, main-channel habitats by pallid sturgeon. Narrow channel-margin areas on both banks having relatively low velocity, high depth slope, and high velocity gradients are similar to adult migration habitats as documented on the Missouri River downstream from Kansas City, Missouri. Although the reach generally lacks features associated with sturgeon habitat selection on the Middle Mississippi River, the barge mooring areas on the right descending bank have topographic complexity and contain large woody debris and small patches of probable gravel-cobble substrate that may have positive habitat value for sturgeon or other species. Furthermore, telemetry studies have documented sturgeon migrating upstream and downstream through this reach as adults, and they probably drift downstream through this reach as free-embryo larvae. Successful upstream migration may depend on availability of areas with hydraulic complexity and relatively low velocities, as presently exist on the margins of the site. Additionally, complexity at the channel margin may provide areas where larvae settle out from drifting in the main current or may act to slow bulk drift rates. Construction of bridge piers close to the banks will likely alter hydraulics and sediment transport on the channel margins and may result in substanti","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105017","collaboration":"Prepared in cooperation with the Missouri Department of Transportation\r\n","usgsCitation":"Huizinga, R.J., Elliott, C.M., and Jacobson, R.B., 2010, Bathymetric and Velocimetric Survey and Assessment of Habitat for Pallid Sturgeon on the Mississippi River in the Vicinity of the Proposed Interstate 70 Bridge at St. Louis, Missouri: U.S. Geological Survey Scientific Investigations Report 2010-5017, v, 28 p., https://doi.org/10.3133/sir20105017.","productDescription":"v, 28 p.","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":125432,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5017.jpg"},{"id":13481,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5017/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.18472222222222,38.6 ], [ -90.18472222222222,38.7 ], [ -90.11777777777777,38.7 ], [ -90.11777777777777,38.6 ], [ -90.18472222222222,38.6 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6fe4b07f02db640ab0","contributors":{"authors":[{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":304710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":304708,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98219,"text":"ofr20101015 - 2010 - Compilation of Water-Resources Data and Hydrogeologic Setting for the Allison Woods Research Station in Iredell County, North Carolina, 2005-2008","interactions":[],"lastModifiedDate":"2016-12-08T13:46:31","indexId":"ofr20101015","displayToPublicDate":"2010-03-02T00:00:00","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":"2010-1015","title":"Compilation of Water-Resources Data and Hydrogeologic Setting for the Allison Woods Research Station in Iredell County, North Carolina, 2005-2008","docAbstract":"Water-resources data were collected to describe the hydrologic conditions at the Allison Woods research station near Statesville, North Carolina, in the Piedmont Physiographic Province of North Carolina. Data collected by the U.S. Geological Survey and the North Carolina Department of Environment and Natural Resources, Division of Water Quality, from April 2005 through September 2008 are presented in this report.\r\n\r\nData presented include well-construction characteristics and periodic groundwater-level measurements for 29 wells, borehole geophysical logs for 8 wells, hourly groundwater-level measurements for 5 wells, continuous water-quality measurements for 3 wells, periodic water-quality samples for 12 wells and 1 surface-water station, slug-test results for 11 wells, and shallow groundwater-flow maps. In addition, the geology and hydrogeology at the site are summarized. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101015","collaboration":"Prepared in cooperation with the North Carolina Department of Environment and Natural Resources, Division of Water Quality","usgsCitation":"Huffman, B.A., and Abraham, J., 2010, Compilation of Water-Resources Data and Hydrogeologic Setting for the Allison Woods Research Station in Iredell County, North Carolina, 2005-2008: U.S. Geological Survey Open-File Report 2010-1015, vi, 37 p. Appendices, https://doi.org/10.3133/ofr20101015.","productDescription":"vi, 37 p. Appendices","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2005-04-01","temporalEnd":"2008-09-30","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":125796,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1015.jpg"},{"id":13477,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1015/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","country":"United States","state":"North Carolina","county":"Iredell 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Carolina\",\"nation\":\"USA  \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ee4b07f02db6a9e20","contributors":{"authors":[{"text":"Huffman, Brad A. 0000-0003-4025-1325 bahuffma@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1325","contributorId":1596,"corporation":false,"usgs":true,"family":"Huffman","given":"Brad","email":"bahuffma@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abraham, Joju","contributorId":75249,"corporation":false,"usgs":true,"family":"Abraham","given":"Joju","email":"","affiliations":[],"preferred":false,"id":304692,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70200239,"text":"70200239 - 2010 - Changes in the chemistry of shallow groundwater related to the 2008 injection of CO2 at the ZERT field site, Bozeman, Montana","interactions":[],"lastModifiedDate":"2018-10-11T18:23:48","indexId":"70200239","displayToPublicDate":"2010-03-01T18:23:17","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1534,"text":"Environmental Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Changes in the chemistry of shallow groundwater related to the 2008 injection of CO2 at the ZERT field site, Bozeman, Montana","docAbstract":"<p><span>Approximately 300&nbsp;kg/day of food-grade CO</span><sub>2</sub><span>&nbsp;was injected through a perforated pipe placed horizontally 2–2.3&nbsp;m deep during July 9–August 7, 2008 at the MSU-ZERT field test to evaluate atmospheric and near-surface monitoring and detection techniques applicable to the subsurface storage and potential leakage of CO</span><sub>2</sub><span>. As part of this multidisciplinary research project, 80 samples of water were collected from 10 shallow monitoring wells (1.5 or 3.0&nbsp;m deep) installed 1–6&nbsp;m from the injection pipe, at the southwestern end of the slotted section (zone VI), and from two distant monitoring wells. The samples were collected before, during, and following CO</span><sub>2</sub><span>&nbsp;injection. The main objective of study was to investigate changes in the concentrations of major, minor, and trace inorganic and organic compounds during and following CO</span><sub>2</sub><span>&nbsp;injection. The ultimate goals were (1) to better understand the potential of groundwater quality impacts related to CO</span><sub>2</sub><span>&nbsp;leakage from deep storage operations, (2) to develop geochemical tools that could provide early detection of CO</span><sub>2</sub><span>&nbsp;intrusion into underground sources of drinking water (USDW), and (3) to test the predictive capabilities of geochemical codes against field data. Field determinations showed rapid and systematic changes in pH (7.0–5.6), alkalinity (400–1,330&nbsp;mg/l as HCO</span><sub>3</sub><span>), and electrical conductance (600–1,800&nbsp;μS/cm) following CO</span><sub>2</sub><span>&nbsp;injection in samples collected from the 1.5&nbsp;m-deep wells. Laboratory results show major increases in the concentrations of Ca (90–240&nbsp;mg/l), Mg (25–70&nbsp;mg/l), Fe (5–1,200&nbsp;ppb), and Mn (5–1,400&nbsp;ppb) following CO</span><sub>2</sub><span>&nbsp;injection. These chemical changes could provide early detection of CO</span><sub>2</sub><span>&nbsp;leakage into shallow groundwater from deep storage operations. Dissolution of observed carbonate minerals and desorption-ion exchange resulting from lowered pH values following CO</span><sub>2</sub><span>&nbsp;injection are the likely geochemical processes responsible for the observed increases in the concentrations of solutes; concentrations generally decreased temporarily following four significant precipitation events. The DOC values obtained are 5&nbsp;±&nbsp;2&nbsp;mg/l, and the variations do not correlate with CO</span><sub>2</sub><span>&nbsp;injection. CO</span><sub>2</sub><span>&nbsp;injection, however, is responsible for detection of BTEX (e.g. benzene, 0–0.8&nbsp;ppb), mobilization of metals, the lowered pH values, and increases in the concentrations of other solutes in groundwater. The trace metal and BTEX concentrations are all significantly below the maximum contaminant levels (MCLs). Sequential leaching of core samples is being carried out to investigate the source of metals and other solutes.</span></p>","language":"English","publisher":"Springer-Verlag","doi":"10.1007/s12665-009-0401-1","usgsCitation":"Kharaka, Y.K., Thordsen, J., Kakouros, E., Ambats, G., Herkelrath, W.N., Beers, S.R., Birkholzer, J., Apps, J.A., Spycher, N.F., Zheng, L., Trautz, R.C., Rauch, H.W., and Gullickson, K., 2010, Changes in the chemistry of shallow groundwater related to the 2008 injection of CO2 at the ZERT field site, Bozeman, Montana: Environmental Earth Sciences, v. 60, no. 2, p. 273-284, https://doi.org/10.1007/s12665-009-0401-1.","productDescription":"12 p.","startPage":"273","endPage":"284","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475745,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12665-009-0401-1","text":"Publisher Index Page"},{"id":358311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","city":"Bozeman","volume":"60","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-12-19","publicationStatus":"PW","scienceBaseUri":"5c10c749e4b034bf6a7f543e","contributors":{"authors":[{"text":"Kharaka, Yousif K. 0000-0001-9861-8260 ykharaka@usgs.gov","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":1928,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","email":"ykharaka@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":748360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thordsen, James J. jthordsn@usgs.gov","contributorId":3329,"corporation":false,"usgs":true,"family":"Thordsen","given":"James J.","email":"jthordsn@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":748361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kakouros, Evangelos 0000-0002-4778-4039 kakouros@usgs.gov","orcid":"https://orcid.org/0000-0002-4778-4039","contributorId":2587,"corporation":false,"usgs":true,"family":"Kakouros","given":"Evangelos","email":"kakouros@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":748362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ambats, Gil","contributorId":205841,"corporation":false,"usgs":false,"family":"Ambats","given":"Gil","email":"","affiliations":[{"id":37174,"text":"Volunteer","active":true,"usgs":false}],"preferred":false,"id":748363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herkelrath, William N. 0000-0002-6149-5524 wnherkel@usgs.gov","orcid":"https://orcid.org/0000-0002-6149-5524","contributorId":2612,"corporation":false,"usgs":true,"family":"Herkelrath","given":"William","email":"wnherkel@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":748364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beers, Sarah R.","contributorId":209331,"corporation":false,"usgs":false,"family":"Beers","given":"Sarah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":748365,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Birkholzer, J.T.","contributorId":18596,"corporation":false,"usgs":true,"family":"Birkholzer","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":748366,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Apps, J. A.","contributorId":60386,"corporation":false,"usgs":false,"family":"Apps","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":748367,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Spycher, Nicholas F.","contributorId":209332,"corporation":false,"usgs":false,"family":"Spycher","given":"Nicholas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":748368,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zheng, Liange","contributorId":209333,"corporation":false,"usgs":false,"family":"Zheng","given":"Liange","email":"","affiliations":[],"preferred":false,"id":748369,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Trautz, Robert C.","contributorId":171754,"corporation":false,"usgs":false,"family":"Trautz","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":26941,"text":"Electric Power Research Institute, Palo Alto, CA","active":true,"usgs":false}],"preferred":false,"id":748370,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rauch, Henry W.","contributorId":209334,"corporation":false,"usgs":false,"family":"Rauch","given":"Henry","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":748371,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gullickson, K.S.","contributorId":26907,"corporation":false,"usgs":true,"family":"Gullickson","given":"K.S.","email":"","affiliations":[],"preferred":false,"id":748372,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70192422,"text":"70192422 - 2010 - Quantifying human disturbance in watersheds: Variable selection and performance of a GIS-based disturbance index for predicting the biological condition of perennial streams","interactions":[],"lastModifiedDate":"2017-10-26T14:23:41","indexId":"70192422","displayToPublicDate":"2010-03-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying human disturbance in watersheds: Variable selection and performance of a GIS-based disturbance index for predicting the biological condition of perennial streams","docAbstract":"<p>Characterizing the relative severity of human disturbance in watersheds is often part of stream assessments and is frequently done with the aid of Geographic Information System (GIS)-derived data. However, the choice of variables and how they are used to quantify disturbance are often subjective. In this study, we developed a number of disturbance indices by testing sets of variables, scoring methods, and weightings of 33 potential disturbance factors derived from readily available GIS data. The indices were calibrated using 770 watersheds located in the western United States for which the severity of disturbance had previously been classified from detailed local data by the United States Environmental Protection Agency (USEPA) Environmental Monitoring and Assessment Program (EMAP). The indices were calibrated by determining which variable or variable combinations and aggregation method best differentiated between least- and most-disturbed sites. Indices composed of several variables performed better than any individual variable, and best results came from a threshold method of scoring using six uncorrelated variables: housing unit density, road density, pesticide application, dam storage, land cover along a mainstem buffer, and distance to nearest canal/pipeline. The final index was validated with 192 withheld watersheds and correctly classified about two-thirds (68%) of least- and most-disturbed sites. These results provide information about the potential for using a disturbance index as a screening tool for <i>a priori</i> ranking of watersheds at a regional/national scale, and which landscape variables and methods of combination may be most helpful in doing so.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2009.05.005","usgsCitation":"Falcone, J.A., Carlisle, D.M., and Weber, L.C., 2010, Quantifying human disturbance in watersheds: Variable selection and performance of a GIS-based disturbance index for predicting the biological condition of perennial streams: Ecological Indicators, v. 10, no. 2, p. 264-273, https://doi.org/10.1016/j.ecolind.2009.05.005.","productDescription":"10 p.","startPage":"264","endPage":"273","ipdsId":"IP-004681","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":347489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Western United States","volume":"10","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07f61fe4b09af898c8cdef","contributors":{"authors":[{"text":"Falcone, James A. 0000-0001-7202-3592 jfalcone@usgs.gov","orcid":"https://orcid.org/0000-0001-7202-3592","contributorId":173496,"corporation":false,"usgs":true,"family":"Falcone","given":"James","email":"jfalcone@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":false,"id":715773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":715772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, Lisa C.","contributorId":124586,"corporation":false,"usgs":true,"family":"Weber","given":"Lisa","email":"","middleInitial":"C.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":715771,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193247,"text":"70193247 - 2010 - Evidence of panmixia between sympatric life history forms of coastal cutthroat trout in two lower Columbia River tributaries","interactions":[],"lastModifiedDate":"2017-11-15T15:03:07","indexId":"70193247","displayToPublicDate":"2010-03-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of panmixia between sympatric life history forms of coastal cutthroat trout in two lower Columbia River tributaries","docAbstract":"<p><span>Coastal cutthroat trout&nbsp;</span><i>Oncorhynchus clarkii clarkii</i><span><span>&nbsp;</span>exhibit resident and migratory life history strategies that often occur sympatrically, but the relationship between these forms within a population is poorly characterized. Through use of passive integrated transponder technology, migratory and resident coastal cutthroat trout were identified in two lower Columbia River tributaries (Abernathy Creek and the Chinook River) separated by more than 80 km. Genetic data from 17 highly variable microsatellite loci were used to ascertain the genetic population structure of these life history forms within and between streams. No distinct genetic separation was observed between the life history forms within a stream, as assessed by four different statistical approaches: permutation tests based on the genetic differentiation index<span>&nbsp;</span></span><i>F</i><span><span>&nbsp;</span></span><sub>ST</sub><span>, principal components analysis of individuals, analysis of molecular variance, and contingency tests of allele frequency heterogeneity. Genetic differences were an order of magnitude higher between stream samples (</span><i>F</i><span><span>&nbsp;</span></span><sub>ST</sub><span><span>&nbsp;</span>&gt; 0.03) than between life history forms within a stream (</span><i>F</i><span><span>&nbsp;</span></span><sub>ST</sub><span><span>&nbsp;</span>&lt; 0.003). The contingency test detected allele frequency differences between migratory and resident life history forms in Abernathy Creek (</span><i>P</i><span><span>&nbsp;</span>= 0.001), but this result was influenced more by age-class structure than by reproductive isolation between life history forms. Results are consistent with a single, randomly mating population in each stream producing both migratory and resident life history forms. These data suggest that individual life history strategy in coastal cutthroat trout is predominantly determined by phenotypic plasticity rather than genotype.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1577/M09-055.1","usgsCitation":"Johnson, J., Baumsteiger, J., Zydlewski, J.D., Hudson, J.M., and Ardren, W.R., 2010, Evidence of panmixia between sympatric life history forms of coastal cutthroat trout in two lower Columbia River tributaries: North American Journal of Fisheries Management, v. 30, no. 3, p. 691-701, https://doi.org/10.1577/M09-055.1.","productDescription":"11 p.","startPage":"691","endPage":"701","ipdsId":"IP-012819","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":487223,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2506853","text":"External Repository"},{"id":348920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Abernathy Creek, Chinook River, Columbia River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.96835327148436,\n              46.27103747280261\n            ],\n            [\n              -123.88029098510741,\n              46.27103747280261\n            ],\n            [\n              -123.88029098510741,\n              46.31302720925925\n            ],\n            [\n              -123.96835327148436,\n              46.31302720925925\n            ],\n            [\n              -123.96835327148436,\n              46.27103747280261\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.24222564697264,\n              46.18220751337389\n            ],\n            [\n              -123.06575775146484,\n              46.18220751337389\n            ],\n            [\n              -123.06575775146484,\n              46.34811255909997\n            ],\n            [\n              -123.24222564697264,\n              46.34811255909997\n            ],\n            [\n              -123.24222564697264,\n              46.18220751337389\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-06-01","publicationStatus":"PW","scienceBaseUri":"5a610acce4b06e28e9c256d5","contributors":{"authors":[{"text":"Johnson, Jeffrey R.","contributorId":71688,"corporation":false,"usgs":true,"family":"Johnson","given":"Jeffrey R.","affiliations":[],"preferred":false,"id":722270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baumsteiger, Jason","contributorId":200425,"corporation":false,"usgs":false,"family":"Baumsteiger","given":"Jason","email":"","affiliations":[],"preferred":false,"id":722271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":718361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hudson, J. Michael","contributorId":200426,"corporation":false,"usgs":false,"family":"Hudson","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":722272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ardren, William R.","contributorId":184180,"corporation":false,"usgs":false,"family":"Ardren","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":722273,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189906,"text":"70189906 - 2010 - The influence of topology on hydraulic conductivity in a sand-and-gravel aquifer","interactions":[],"lastModifiedDate":"2021-03-25T20:48:12.732002","indexId":"70189906","displayToPublicDate":"2010-03-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"The influence of topology on hydraulic conductivity in a sand-and-gravel aquifer","docAbstract":"<p><span>A field experiment consisting of geophysical logging and tracer testing was conducted in a single well that penetrated a sand‐and‐gravel aquifer at the U.S. Geological Survey Toxic Substances Hydrology research site on Cape Cod, Massachusetts. Geophysical logs and flowmeter/pumping measurements were obtained to estimate vertical profiles of porosity ϕ, hydraulic conductivity&nbsp;</span><i>K</i><span>, temperature, and bulk electrical conductivity under background, freshwater conditions. Saline‐tracer fluid was then injected into the well for 2 h and its radial migration into the surrounding deposits was monitored by recording an electromagnetic‐induction log every 10 min. The field data are analyzed and interpreted primarily through the use of Archie's (1942) law to investigate the role of topological factors such as pore geometry and connectivity, and grain size and packing configuration in regulating fluid flow through these coarse‐grained materials. The logs reveal no significant correlation between&nbsp;</span><i>K</i><span>&nbsp;and ϕ, and imply that groundwater models that link these two properties may not be useful at this site. Rather, it is the distribution and connectivity of the fluid phase as defined by formation factor&nbsp;</span><i>F</i><span>, cementation index&nbsp;</span><i>m</i><span>, and tortuosity α that primarily control the hydraulic conductivity. Results show that&nbsp;</span><i>F</i><span>&nbsp;correlates well with&nbsp;</span><i>K</i><span>, thereby indicating that induction logs provide qualitative information on the distribution of hydraulic conductivity. A comparison of α, which incorporates porosity data, with&nbsp;</span><i>K</i><span>&nbsp;produces only a slightly better correlation and further emphasizes the weak influence of the bulk value of ϕ on&nbsp;</span><i>K</i><span>.</span></p>","language":"English","publisher":"National Ground Water Association","doi":"10.1111/j.1745-6584.2009.00646.x","usgsCitation":"Morin, R.H., LeBlanc, D.R., and Troutman, B., 2010, The influence of topology on hydraulic conductivity in a sand-and-gravel aquifer: Ground Water, v. 48, no. 2, p. 181-190, https://doi.org/10.1111/j.1745-6584.2009.00646.x.","productDescription":"10 p.","startPage":"181","endPage":"190","ipdsId":"IP-013164","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","city":"Cape Cod","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.5596923828125,\n              41.58360681482734\n            ],\n            [\n              -70.51986694335938,\n              41.58360681482734\n            ],\n            [\n              -70.51986694335938,\n              41.62673502076991\n            ],\n            [\n              -70.5596923828125,\n              41.62673502076991\n            ],\n            [\n              -70.5596923828125,\n              41.58360681482734\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2010-02-25","publicationStatus":"PW","scienceBaseUri":"59819317e4b0e2f5d463b7b5","contributors":{"authors":[{"text":"Morin, Roger H. rhmorin@usgs.gov","contributorId":2432,"corporation":false,"usgs":true,"family":"Morin","given":"Roger","email":"rhmorin@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":706725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":706724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Troutman, Brent M.","contributorId":41040,"corporation":false,"usgs":true,"family":"Troutman","given":"Brent M.","affiliations":[],"preferred":false,"id":706726,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176787,"text":"70176787 - 2010 - Microclimate and limits to photosynthesis in a diverse community of hypolithic cyanobacteria in northern Australia","interactions":[],"lastModifiedDate":"2017-04-27T10:32:38","indexId":"70176787","displayToPublicDate":"2010-03-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1548,"text":"Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Microclimate and limits to photosynthesis in a diverse community of hypolithic cyanobacteria in northern Australia","docAbstract":"<p><span>Hypolithic microbes, primarily cyanobacteria, inhabit the highly specialized microhabitats under translucent rocks in extreme environments. Here we report findings from hypolithic cyanobacteria found under three types of translucent rocks (quartz, prehnite, agate) in a semiarid region of tropical Australia. We investigated the photosynthetic responses of the cyanobacterial communities to light, temperature and moisture in the laboratory, and we measured the microclimatic variables of temperature and soil moisture under rocks in the field over an annual cycle. We also used molecular techniques to explore the diversity of hypolithic cyanobacteria in this community and their phylogenetic relationships within the context of hypolithic cyanobacteria from other continents. Based on the laboratory experiments, photosynthetic activity required a minimum soil moisture of 15% (by mass). Peak photosynthetic activity occurred between approximately 8°C and 42°C, though some photosynthesis occurred between −1°C and 51°C. Maximum photosynthesis rates also occurred at light levels of approximately 150–550&nbsp;μmol&nbsp;m</span><sup>−2</sup><span>&nbsp;s</span><sup>−1</sup><span>. We used the field microclimatic data in conjunction with these measurements of photosynthetic efficiency to estimate the amount of time the hypolithic cyanobacteria could be photosynthetically active in the field. Based on these data, we estimated that conditions were appropriate for photosynthetic activity for approximately 942&nbsp;h (∼75&nbsp;days) during the year. The hypolithic cyanobacteria community under quartz, prehnite and agate rocks was quite diverse both within and between rock types. We identified 115 operational taxonomic units (OTUs), with each rock hosting 8–24 OTUs. A third of the cyanobacteria OTUs from northern Australia grouped with </span><i>Chroococcidiopsis</i><span>, a genus that has been identified from hypolithic and endolithic communities from the Gobi, Mojave, Atacama and Antarctic deserts. Several OTUs identified from northern Australia have not been reported to be associated with hypolithic communities previously.</span></p>","language":"English","publisher":"Society for Applied Microbiology","doi":"10.1111/j.1462-2920.2009.02098.x","usgsCitation":"Tracy, C.R., Streten-Joyce, C., Dalton, R., Nussear, K.E., Gibb, K.S., and Christian, K.A., 2010, Microclimate and limits to photosynthesis in a diverse community of hypolithic cyanobacteria in northern Australia: Environmental Microbiology, v. 12, no. 3, p. 592-607, https://doi.org/10.1111/j.1462-2920.2009.02098.x.","productDescription":"16 p.","startPage":"592","endPage":"607","ipdsId":"IP-010307","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":329349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-02-25","publicationStatus":"PW","scienceBaseUri":"57fe8151e4b0824b2d1480b4","contributors":{"authors":[{"text":"Tracy, Christopher R.","contributorId":175164,"corporation":false,"usgs":false,"family":"Tracy","given":"Christopher","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":650308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Streten-Joyce, Claire","contributorId":175165,"corporation":false,"usgs":false,"family":"Streten-Joyce","given":"Claire","email":"","affiliations":[],"preferred":false,"id":650309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dalton, Robert","contributorId":175166,"corporation":false,"usgs":false,"family":"Dalton","given":"Robert","email":"","affiliations":[],"preferred":false,"id":650310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nussear, Kenneth E. knussear@usgs.gov","contributorId":2695,"corporation":false,"usgs":true,"family":"Nussear","given":"Kenneth","email":"knussear@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":650311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gibb, Karen S.","contributorId":175167,"corporation":false,"usgs":false,"family":"Gibb","given":"Karen","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":650312,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Christian, Keith A.","contributorId":175168,"corporation":false,"usgs":false,"family":"Christian","given":"Keith","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":650313,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98213,"text":"ds480 - 2010 - A Compilation of Spatial Datasets to Support a Preliminary Assessment of Pesticides and Pesticide Use on Tribal Lands in Oklahoma","interactions":[],"lastModifiedDate":"2012-02-02T00:14:44","indexId":"ds480","displayToPublicDate":"2010-02-27T00:00:00","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":"480","title":"A Compilation of Spatial Datasets to Support a Preliminary Assessment of Pesticides and Pesticide Use on Tribal Lands in Oklahoma","docAbstract":"This CD-ROM contains spatial datasets that describe natural and anthropogenic features and county-level estimates of agricultural pesticide use and pesticide data for surface-water, groundwater, and biological specimens in the state of Oklahoma. County-level estimates of pesticide use were compiled from the Pesticide National Synthesis Project of the U.S. Geological Survey, National Water-Quality Assessment Program. Pesticide data for surface water, groundwater, and biological specimens were compiled from U.S. Geological Survey National Water Information System database. These spatial datasets that describe natural and manmade features were compiled from several agencies and contain information collected by the U.S. Geological Survey. The U.S. Geological Survey datasets were not collected specifically for this compilation, but were previously collected for projects with various objectives.\r\n\r\nThe spatial datasets were created by different agencies from sources with varied quality. As a result, features common to multiple layers may not overlay exactly. Users should check the metadata to determine proper use of these spatial datasets. These data were not checked for accuracy or completeness. If a question of accuracy or completeness arise, the user should contact the originator cited in the metadata. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds480","collaboration":"Prepared by the U.S. Geological Survey in cooperation with the U.S. Environmental Protection Agency Region VI","usgsCitation":"Mashburn, S.L., and Winton, K.T., 2010, A Compilation of Spatial Datasets to Support a Preliminary Assessment of Pesticides and Pesticide Use on Tribal Lands in Oklahoma: U.S. Geological Survey Data Series 480, CD-ROM; Downloads Directory, https://doi.org/10.3133/ds480.","productDescription":"CD-ROM; Downloads Directory","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":196561,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13471,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/480/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4950e4b0b290850ef0bb","contributors":{"authors":[{"text":"Mashburn, Shana L. 0000-0001-5163-778X shanam@usgs.gov","orcid":"https://orcid.org/0000-0001-5163-778X","contributorId":2140,"corporation":false,"usgs":true,"family":"Mashburn","given":"Shana","email":"shanam@usgs.gov","middleInitial":"L.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winton, Kimberly T.","contributorId":32264,"corporation":false,"usgs":true,"family":"Winton","given":"Kimberly","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":304677,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98215,"text":"ds495 - 2010 - Perchlorate data for streams and groundwater in selected areas of the United States, 2004","interactions":[],"lastModifiedDate":"2022-07-06T21:38:50.646344","indexId":"ds495","displayToPublicDate":"2010-02-27T00:00:00","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":"495","title":"Perchlorate data for streams and groundwater in selected areas of the United States, 2004","docAbstract":"This report presents data collected as part of a reconnaissance study to evaluate the occurrence of perchlorate in rivers and streams and in shallow aquifers in selected areas of the United States. Perchlorate, a component in rocket fuels, fireworks, and some explosives is soluble in water and persists in soils and water for long periods. It is biologically active at relatively low-levels in the environment, and has been identified as an endocrine-disrupting chemical. The purpose of this reconnaissance was to determine the occurrence of perchlorate in agricultural areas of the Midwestern and North-Central United States and in arid Central and Western parts of the United States.\r\n\r\nSamples were collected from 171 sites on rivers and streams and 146 sites from wells during the summer and early fall of 2004. Samples were collected from surface-water sites in 19 states and from wells in 5 states. Perchlorate was detected in samples collected in 15 states and was detected in 34 of 182 samples from rivers and streams and in 64 of 148 groundwater samples at concentrations equal to or greater than 0.4 micrograms per liter. Perchlorate concentrations were 1.0 micrograms per liter or greater in surface-water samples from seven states and in groundwater samples in four states. Only one surface-water and one groundwater sample had concentrations greater than 5.0 micrograms per liter. Perchlorate concentrations in followup samples collected from 1 to 3 months after the initial sample were unchanged at four of five stream sites.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds495","usgsCitation":"Kalkhoff, S.J., Stetson, S., Lund, K.D., Wanty, R.B., and Linder, G.L., 2010, Perchlorate data for streams and groundwater in selected areas of the United States, 2004: U.S. Geological Survey Data Series 495, iv, 43 p., https://doi.org/10.3133/ds495.","productDescription":"iv, 43 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":196619,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":403108,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_92002.htm","linkFileType":{"id":5,"text":"html"}},{"id":13474,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/495/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n              ],\n              [\n                -89.6,\n                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sjkalkho@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-1716","contributorId":1731,"corporation":false,"usgs":true,"family":"Kalkhoff","given":"Stephen","email":"sjkalkho@usgs.gov","middleInitial":"J.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stetson, Sarah J.","contributorId":100963,"corporation":false,"usgs":true,"family":"Stetson","given":"Sarah J.","affiliations":[],"preferred":false,"id":304685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lund, Kris D. kdlund@usgs.gov","contributorId":1958,"corporation":false,"usgs":true,"family":"Lund","given":"Kris","email":"kdlund@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":304683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":304681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Linder, Gregory L.","contributorId":35843,"corporation":false,"usgs":true,"family":"Linder","given":"Gregory","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":304684,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98207,"text":"ofr20101016 - 2010 - Geophysical characterization of Range-Front Faults, Snake Valley, Nevada","interactions":[],"lastModifiedDate":"2017-06-30T10:14:36","indexId":"ofr20101016","displayToPublicDate":"2010-02-24T00:00:00","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":"2010-1016","title":"Geophysical characterization of Range-Front Faults, Snake Valley, Nevada","docAbstract":"In September 2009, the U.S. Geological Survey, in cooperation with the National Park Service, collected audiomagnetotelluric (AMT) data along two profiles on the eastern flank of the Snake Range near Great Basin National Park to refine understanding of the subsurface geology. Line 1 was collected along Baker Creek, was approximately 6.7-km long, and recorded subsurface geologic conditions to approximately 800-m deep. Line 2, collected farther to the southeast in the vicinity of Kious Spring, was 2.8-km long, and imaged to depths of approximately 600 m. The two AMT lines are similar in their electrical response and are interpreted to show generally similar subsurface geologic conditions. The geophysical response seen on both lines may be described by three general domains of electrical response: (1) a shallow (mostly less than 100-200-m deep) domain of highly variable resistivity, (2) a deep domain characterized by generally high resistivity that gradually declines eastward to lower resistivity with a steeply dipping grain or fabric, and (3) an eastern domain in which the resistivity character changes abruptly at all depths from that in the western domain. The shallow, highly variable domain is interpreted to be the result of a heterogeneous assemblage of Miocene conglomerate and incorporated megabreccia blocks overlying a shallowly eastward-dipping southern Snake Range detachment fault. The deep domain of generally higher resistivity is interpreted as Paleozoic sedimentary rocks (Pole Canyon limestone and Prospect Mountain Quartzite) and Mesozoic and Cenozoic plutonic rocks occurring beneath the detachment surface. The range of resistivity values within this deep domain may result from fracturing adjacent to the detachment, the presence of Paleozoic rock units of variable resistivities that do not crop out in the vicinity of the lines, or both. The eastern geophysical domain is interpreted to be a section of Miocene strata at depth, overlain by Quaternary alluvial fill. These deposits lie east of a steeply east-dipping normal fault that cuts all units and has about 100 m of east-side-down offset. \r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101016","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Asch, T., and Sweetkind, D., 2010, Geophysical characterization of Range-Front Faults, Snake Valley, Nevada: U.S. Geological Survey Open-File Report 2010-1016, v, 226 p., https://doi.org/10.3133/ofr20101016.","productDescription":"v, 226 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-09-01","temporalEnd":"2009-09-30","ipdsId":"IP-021904","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":212,"text":"Crustal Imaging and Characterization","active":false,"usgs":true}],"links":[{"id":125846,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1016.jpg"},{"id":13453,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1016/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.53333333333333,38.666666666666664 ], [ -114.53333333333333,39.18333333333333 ], [ -113.96666666666667,39.18333333333333 ], [ -113.96666666666667,38.666666666666664 ], [ -114.53333333333333,38.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c4c5","contributors":{"authors":[{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":304664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":304663,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208550,"text":"70208550 - 2010 - Accessing free Landsat data via the Internet: Africa's challenge","interactions":[],"lastModifiedDate":"2020-02-20T10:05:24","indexId":"70208550","displayToPublicDate":"2010-02-23T13:37:50","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3251,"text":"Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Accessing free Landsat data via the Internet: Africa's challenge","docAbstract":"<p><span>Since January 2008, the US Department of Interior/US Geological Survey has been providing terrain-corrected Landsat data over the Internet for free. This letter reports the size and proportion of the US Landsat archive that is over Africa by each Landsat sensor, discusses the implications of missing data and highlights the current bandwidth constraints on users accessing free Landsat data over the Internet from Africa.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431160903486693","usgsCitation":"Roy, D.P., Ju, J., Mbow, Frost, P., and Loveland, T., 2010, Accessing free Landsat data via the Internet: Africa's challenge: Remote Sensing Letters, v. 1, no. 2, p. 111-117, https://doi.org/10.1080/01431160903486693.","productDescription":"7 p.","startPage":"111","endPage":"117","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475751,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/01431160903486693","text":"Publisher Index Page"},{"id":372363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              34.95849609375,\n              29.49698759653577\n            ],\n            [\n              34.21142578125,\n              31.372399104880525\n            ],\n            [\n              30.563964843750004,\n              31.970803930433096\n            ],\n            [\n              21.68701171875,\n              33.37641235124676\n            ],\n            [\n              11.2939453125,\n              34.07086232376631\n            ],\n            [\n              11.7333984375,\n              35.94243575255426\n            ],\n            [\n              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,{"id":98204,"text":"ds494 - 2010 - Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 1999–2005","interactions":[],"lastModifiedDate":"2022-07-13T18:45:41.08495","indexId":"ds494","displayToPublicDate":"2010-02-18T00:00:00","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":"494","title":"Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 1999–2005","docAbstract":"The Cedar River alluvial aquifer is the primary source of municipal water in the Cedar Rapids, Iowa area. Municipal wells are completed in the alluvial aquifer at approximately 40 to 80 feet deep. The City of Cedar Rapids and the U.S. Geological Survey have been conducting a cooperative study of the groundwater-flow system and water quality near the well fields since 1992. Previous cooperative studies between the City of Cedar Rapids and the U.S. Geological Survey have documented hydrologic and water-quality data, geochemistry, and groundwater models. Water-quality samples were collected for studies involving well field monitoring, trends, source-water protection, groundwater geochemistry, evaluation of surface and ground-water interaction, assessment of pesticides in groundwater and surface water, and to evaluate water quality near a wetland area in the Seminole well field. Typical water-quality analyses included major ions (boron, bromide, calcium, chloride, fluoride, iron, magnesium, manganese, potassium, silica, sodium, and sulfate), nutrients (ammonia as nitrogen, nitrite as nitrogen, nitrite plus nitrate as nitrogen, and orthophosphate as phosphorus), dissolved organic carbon, and selected pesticides including two degradates of the herbicide atrazine. In addition, two synoptic samplings included analyses of additional pesticide degradates in water samples. Physical field parameters (alkalinity, dissolved oxygen, pH, specific conductance and water temperature) were recorded with each water sample collected. This report presents the results of water quality data-collection activities from January 1999 through December 2005. Methods of data collection, quality-assurance samples, water-quality analyses, and statistical summaries are presented. Data include the results of water-quality analyses from quarterly and synoptic sampling from monitoring wells, municipal wells, and the Cedar River.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds494","collaboration":"In cooperation with the City of Cedar Rapids","usgsCitation":"Littin, G.R., and Schnoebelen, D.J., 2010, Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 1999–2005: U.S. Geological Survey Data Series 494, v, 52 p., https://doi.org/10.3133/ds494.","productDescription":"v, 52 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1999-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":125827,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_494.jpg"},{"id":403668,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91654.htm","linkFileType":{"id":5,"text":"html"}},{"id":13447,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/494/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"iowa","city":"Cedar Rapids","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.74837112426758,\n              41.981186979424656\n            ],\n            [\n              -91.66666030883789,\n              41.981186979424656\n            ],\n            [\n              -91.66666030883789,\n              42.03373934666248\n            ],\n            [\n              -91.74837112426758,\n              42.03373934666248\n            ],\n            [\n              -91.74837112426758,\n              41.981186979424656\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48d0e4b07f02db54654f","contributors":{"authors":[{"text":"Littin, Gregory R. grlittin@usgs.gov","contributorId":1732,"corporation":false,"usgs":true,"family":"Littin","given":"Gregory","email":"grlittin@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":304660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schnoebelen, Douglas J.","contributorId":87514,"corporation":false,"usgs":true,"family":"Schnoebelen","given":"Douglas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":304661,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98202,"text":"sir20095239 - 2010 - Groundwater Hydrology and Chemistry in and near an Emulsified Vegetable-Oil Injection Zone, Solid Waste Management Unit 17, Naval Weapons Station Charleston, North Charleston, South Carolina, 2004-2009","interactions":[],"lastModifiedDate":"2017-01-17T10:27:49","indexId":"sir20095239","displayToPublicDate":"2010-02-17T00:00:00","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":"2009-5239","title":"Groundwater Hydrology and Chemistry in and near an Emulsified Vegetable-Oil Injection Zone, Solid Waste Management Unit 17, Naval Weapons Station Charleston, North Charleston, South Carolina, 2004-2009","docAbstract":"The U.S. Geological Survey and the Naval Facilities Engineering Command Southeast investigated the hydrology and groundwater chemistry in the vicinity of an emulsified vegetable-oil injection zone at Solid Waste Management Unit (SWMU) 17, Naval Weapons Station Charleston, North Charleston, South Carolina. In May 2004, Solutions-IES initiated a Phase-I pilot-scale treatability study at SWMU17 involving the injection of an edible oil emulsion into the aquifer near wells 17PS-01, 17PS-02, and 17PS-03 to treat chlorinated solvents. The Phase-I injection of emulsified vegetable oil resulted in dechlorination of trichloroethene (TCE) to cis-1,2-dichloroethene (cDCE), but the dechlorination activity appeared to stall at cDCE, with little further dechlorination of cDCE to vinyl chloride (VC) or to ethene. The purpose of the present investigation was to examine the groundwater hydrology and chemistry in and near the injection zone to gain a better understanding of the apparent remediation stall. It is unlikely that the remediation stall was due to the lack of an appropriate microbial community because groundwater samples showed the presence of Dehalococcoides species (sp.) and suitable enyzmes. The probable causes of the stall were heterogeneous distribution of the injectate and development of low-pH conditions in the injection area. Because groundwater pH values in the injection area were below the range considered optimum for dechlorination activity, a series of tests was done to examine the effect on dechlorination of increasing the pH within well 17PS-02. During and following the in-well pH-adjustment tests, VC concentrations gradually increased in some wells in the injection zone that were not part of the in-well pH-adjustment tests. These data possibly reflect a gradual microbial acclimation to the low-pH conditions produced by the injection. In contrast, a distinct increase in VC concentration was observed in well 17PS-02 following the in-well pH increase. Adjustment of the pH to near-neutral values in well 17PS-02 may have made that well relatively favorable to VC production compared with much of the rest of the injection zone, possibly accounting for acceleration of VC production at that well. Following a Phase-II injection in which Solutions-IES, Inc., injected pH-buffered emulsified vegetable oil with an improved efficiency injection approach, 1,1-dichloroethene, TCE, and cDCE rapidly decreased in concentration and are now (2009) undetectable in the injection zone, with the exception of a low concentration (43 micrograms per liter, August 2009) of cDCE in well 17PS-01. In August 2009, VC was still present in groundwater at the test wells in concentrations ranging from 150 to 640 micrograms per liter. The Phase-II injection, however, appears to have locally decreased aquifer permeability, possibly resulting in movement of contamination around, rather than through, the treatment area.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095239","usgsCitation":"Vroblesky, D.A., Petkewich, M.D., Lowery, M.A., Conlon, K.J., and Casey, C.C., 2010, Groundwater Hydrology and Chemistry in and near an Emulsified Vegetable-Oil Injection Zone, Solid Waste Management Unit 17, Naval Weapons Station Charleston, North Charleston, South Carolina, 2004-2009: U.S. Geological Survey Scientific Investigations Report 2009-5239, viii, 31 p., https://doi.org/10.3133/sir20095239.","productDescription":"viii, 31 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2004-05-01","temporalEnd":"2009-08-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":13445,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5239/","linkFileType":{"id":5,"text":"html"}},{"id":126286,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5239.jpg"}],"country":"United States","state":"North Carolina","city":"North Charleston","otherGeospatial":"Naval Weapons Station","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.03333333333333,32.88333333333333 ], [ -80.03333333333333,33.03333333333333 ], [ -79.88333333333334,33.03333333333333 ], [ -79.88333333333334,32.88333333333333 ], [ -80.03333333333333,32.88333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db696387","contributors":{"authors":[{"text":"Vroblesky, Don A. vroblesk@usgs.gov","contributorId":413,"corporation":false,"usgs":true,"family":"Vroblesky","given":"Don","email":"vroblesk@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":304655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petkewich, Matthew D. 0000-0002-5749-6356 mdpetkew@usgs.gov","orcid":"https://orcid.org/0000-0002-5749-6356","contributorId":982,"corporation":false,"usgs":true,"family":"Petkewich","given":"Matthew","email":"mdpetkew@usgs.gov","middleInitial":"D.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowery, Mark A.","contributorId":77872,"corporation":false,"usgs":true,"family":"Lowery","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":304659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conlon, Kevin J. 0000-0003-0798-368X kjconlon@usgs.gov","orcid":"https://orcid.org/0000-0003-0798-368X","contributorId":2561,"corporation":false,"usgs":true,"family":"Conlon","given":"Kevin","email":"kjconlon@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":304657,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casey, Clifton C.","contributorId":15140,"corporation":false,"usgs":true,"family":"Casey","given":"Clifton","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":304658,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98198,"text":"sir20095197 - 2010 - Implementation and Evaluation of the Streamflow Statistics (StreamStats) Web Application for Computing Basin Characteristics and Flood Peaks in Illinois","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20095197","displayToPublicDate":"2010-02-17T00:00:00","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":"2009-5197","title":"Implementation and Evaluation of the Streamflow Statistics (StreamStats) Web Application for Computing Basin Characteristics and Flood Peaks in Illinois","docAbstract":"Illinois StreamStats (ILSS) is a Web-based application for computing selected basin characteristics and flood-peak quantiles based on the most recently (2010) published (Soong and others, 2004) regional flood-frequency equations at any rural stream location in Illinois. Limited streamflow statistics including general statistics, flow durations, and base flows also are available for U.S. Geological Survey (USGS) streamflow-gaging stations. ILSS can be accessed on the Web at http://streamstats.usgs.gov/ by selecting the State Applications hyperlink and choosing Illinois from the pull-down menu.\r\n\r\nILSS was implemented for Illinois by obtaining and projecting ancillary geographic information system (GIS) coverages; populating the StreamStats database with streamflow-gaging station data; hydroprocessing the 30-meter digital elevation model (DEM) for Illinois to conform to streams represented in the National Hydrographic Dataset 1:100,000 stream coverage; and customizing the Web-based Extensible Markup Language (XML) programs for computing basin characteristics for Illinois. The basin characteristics computed by ILSS then were compared to the basin characteristics used in the published study, and adjustments were applied to the XML algorithms for slope and basin length. Testing of ILSS was accomplished by comparing flood quantiles computed by ILSS at a an approximately random sample of 170 streamflow-gaging stations computed by ILSS with the published flood quantile estimates. Differences between the log-transformed flood quantiles were not statistically significant at the 95-percent confidence level for the State as a whole, nor by the regions determined by each equation, except for region 1, in the northwest corner of the State. In region 1, the average difference in flood quantile estimates ranged from 3.76 percent for the 2-year flood quantile to 4.27 percent for the 500-year flood quantile. The total number of stations in region 1 was small (21) and the mean difference is not large (less than one-tenth of the average prediction error for the regression-equation estimates). The sensitivity of the flood-quantile estimates to differences in the computed basin characteristics are determined and presented in tables. A test of usage consistency was conducted by having at least 7 new users compute flood quantile estimates at 27 locations. The average maximum deviation of the estimate from the mode value at each site was 1.31 percent after four mislocated sites were removed. A comparison of manual 100-year flood-quantile computations with ILSS at 34 sites indicated no statistically significant difference. ILSS appears to be an accurate, reliable, and effective tool for flood-quantile estimates.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095197","usgsCitation":"Ishii, A., Soong, D., and Sharpe, J.B., 2010, Implementation and Evaluation of the Streamflow Statistics (StreamStats) Web Application for Computing Basin Characteristics and Flood Peaks in Illinois: U.S. Geological Survey Scientific Investigations Report 2009-5197, viii, 25 p. , https://doi.org/10.3133/sir20095197.","productDescription":"viii, 25 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":118601,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5197.jpg"},{"id":13442,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5197/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.51666666666667,36.96666666666667 ], [ -91.51666666666667,42.5 ], [ -87.5,42.5 ], [ -87.5,36.96666666666667 ], [ -91.51666666666667,36.96666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a04e4b07f02db5f85b9","contributors":{"authors":[{"text":"Ishii, Audrey L. alishii@usgs.gov","contributorId":1818,"corporation":false,"usgs":true,"family":"Ishii","given":"Audrey L.","email":"alishii@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":304642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soong, David T.","contributorId":87487,"corporation":false,"usgs":true,"family":"Soong","given":"David T.","affiliations":[],"preferred":false,"id":304644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304643,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98200,"text":"sir20105004 - 2010 - Interpretation of Flow Logs from Nevada Test Site Boreholes to Estimate Hydraulic Conductivity Using Numerical Simulations Constrained by Single-Well Aquifer Tests","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105004","displayToPublicDate":"2010-02-17T00:00:00","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":"2010-5004","title":"Interpretation of Flow Logs from Nevada Test Site Boreholes to Estimate Hydraulic Conductivity Using Numerical Simulations Constrained by Single-Well Aquifer Tests","docAbstract":"Hydraulic conductivities of volcanic and carbonate lithologic units at the Nevada Test Site were estimated from flow logs and aquifer-test data. Borehole flow and drawdown were integrated and interpreted using a radial, axisymmetric flow model, AnalyzeHOLE. This integrated approach is used because complex well completions and heterogeneous aquifers and confining units produce vertical flow in the annular space and aquifers adjacent to the wellbore. AnalyzeHOLE simulates vertical flow, in addition to horizontal flow, which accounts for converging flow toward screen ends and diverging flow toward transmissive intervals. Simulated aquifers and confining units uniformly are subdivided by depth into intervals in which the hydraulic conductivity is estimated with the Parameter ESTimation (PEST) software. Between 50 and 150 hydraulic-conductivity parameters were estimated by minimizing weighted differences between simulated and measured flow and drawdown. Transmissivity estimates from single-well or multiple-well aquifer tests were used to constrain estimates of hydraulic conductivity. The distribution of hydraulic conductivity within each lithology had a minimum variance because estimates were constrained with Tikhonov regularization.\r\n\r\nAnalyzeHOLE simulated hydraulic-conductivity estimates for lithologic units across screened and cased intervals are as much as 100 times less than those estimated using proportional flow-log analyses applied across screened intervals only. Smaller estimates of hydraulic conductivity for individual lithologic units are simulated because sections of the unit behind cased intervals of the wellbore are not assumed to be impermeable, and therefore, can contribute flow to the wellbore. Simulated hydraulic-conductivity estimates vary by more than three orders of magnitude across a lithologic unit, indicating a high degree of heterogeneity in volcanic and carbonate-rock units. The higher water transmitting potential of carbonate-rock units relative to volcanic-rock units is exemplified by the large difference in their estimated maximum hydraulic conductivity; 4,000 and 400 feet per day, respectively. Simulated minimum estimates of hydraulic conductivity are inexact and represent the lower detection limit of the method. Minimum thicknesses of lithologic intervals also were defined for comparing AnalyzeHOLE results to hydraulic properties in regional ground-water flow models.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105004","usgsCitation":"Garcia, C.A., Halford, K.J., and Laczniak, R.J., 2010, Interpretation of Flow Logs from Nevada Test Site Boreholes to Estimate Hydraulic Conductivity Using Numerical Simulations Constrained by Single-Well Aquifer Tests: U.S. Geological Survey Scientific Investigations Report 2010-5004, Report: vi, 28 p.; Appendices   , https://doi.org/10.3133/sir20105004.","productDescription":"Report: vi, 28 p.; Appendices   ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":118606,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5004.jpg"},{"id":13444,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5004/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.7,36.416666666666664 ], [ -116.7,37.36666666666667 ], [ -115.81666666666666,37.36666666666667 ], [ -115.81666666666666,36.416666666666664 ], [ -116.7,36.416666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dae4b07f02db5e0616","contributors":{"authors":[{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laczniak, Randell J.","contributorId":90687,"corporation":false,"usgs":true,"family":"Laczniak","given":"Randell","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":304649,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98199,"text":"ds487 - 2010 - A Seamless, High-Resolution, Coastal Digital Elevation Model (DEM) for Southern California","interactions":[],"lastModifiedDate":"2012-02-02T00:04:13","indexId":"ds487","displayToPublicDate":"2010-02-17T00:00:00","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":"487","title":"A Seamless, High-Resolution, Coastal Digital Elevation Model (DEM) for Southern California","docAbstract":"A seamless, 3-meter digital elevation model (DEM) was constructed for the entire Southern California coastal zone, extending 473 km from Point Conception to the Mexican border. The goal was to integrate the most recent, high-resolution datasets available (for example, Light Detection and Ranging (Lidar) topography, multibeam and single beam sonar bathymetry, and Interferometric Synthetic Aperture Radar (IfSAR) topography) into a continuous surface from at least the 20-m isobath to the 20-m elevation contour. \r\n\r\nThis dataset was produced to provide critical boundary conditions (bathymetry and topography) for a modeling effort designed to predict the impacts of severe winter storms on the Southern California coast (Barnard and others, 2009). The hazards model, run in real-time or with prescribed scenarios, incorporates atmospheric information (wind and pressure fields) with a suite of state-of-the-art physical process models (tide, surge, and wave) to enable detailed prediction of water levels, run-up, wave heights, and currents. Research-grade predictions of coastal flooding, inundation, erosion, and cliff failure are also included. The DEM was constructed to define the general shape of nearshore, beach and cliff surfaces as accurately as possible, with less emphasis on the detailed variations in elevation inland of the coast and on bathymetry inside harbors. As a result this DEM should not be used for navigation purposes. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds487","usgsCitation":"Barnard, P., and Hoover, D., 2010, A Seamless, High-Resolution, Coastal Digital Elevation Model (DEM) for Southern California: U.S. Geological Survey Data Series 487, Report: iii, 8 p.; Metadata folder (HTML, HTML in FAQ, ASCII, XML); Data folder  , https://doi.org/10.3133/ds487.","productDescription":"Report: iii, 8 p.; Metadata folder (HTML, HTML in FAQ, ASCII, XML); Data folder  ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":118602,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_487.jpg"},{"id":13443,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/487/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4968e4b0b290850ef231","contributors":{"authors":[{"text":"Barnard, Patrick L.","contributorId":54936,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","affiliations":[],"preferred":false,"id":304645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoover, Daniel","contributorId":79841,"corporation":false,"usgs":true,"family":"Hoover","given":"Daniel","affiliations":[],"preferred":false,"id":304646,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98201,"text":"ds488 - 2010 - Data Used in Analyses of Trends, and Nutrient and Suspended-Sediment Loads for Streams in the Southeastern United States, 1973-2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"ds488","displayToPublicDate":"2010-02-17T00:00:00","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":"488","title":"Data Used in Analyses of Trends, and Nutrient and Suspended-Sediment Loads for Streams in the Southeastern United States, 1973-2005","docAbstract":"Water-quality data from selected surface-water monitoring sites in the Southeastern United States were assessed for trends in concentrations of nutrients, suspended sediment, and major constituents and for in-stream nutrient and suspended-sediment loads for the period 1973-2005. The area of interest includes river basins draining into the southern Atlantic Ocean, the Gulf of Mexico, and the Tennessee River-drainage basins in Hydrologic Regions 03 (South Atlantic - Gulf) and 06 (Tennessee). This data assessment is related to studies of several major river basins as part of the U.S. Geological Survey National Water-Quality Assessment Program, which was designed to assess national water-quality trends during a common time period (1993-2004).\r\n\r\nIncluded in this report are data on which trend tests could be performed from 44 U.S. Geological Survey National Water Information System (NWIS) sampling sites. The constituents examined include major ions, nutrients, and suspended sediment; the physical properties examined include pH, specific conductance, dissolved oxygen, and streamflow. Also included are data that were tested for trends from an additional 290 sites from the U.S. Environmental Protection Agency Storage and Retrieval (STORET) database. The trend analyses of the STORET data were limited to total nitrogen and total phosphorus concentrations. Data from 48 U.S. Geological Survey NWIS sampling sites with sufficient water-quality and continuous streamflow data for estimating nutrient and sediment loads are included. \r\n\r\nThe methods of data compilation and modification used prior to performing trend tests and load estimation are described. Results of the seasonal Kendall trend test and the Tobit trend test are given for the 334 monitoring sites, and in-stream load estimates are given for the 48 monitoring sites. Basin characteristics are provided, including regional landscape variables and agricultural nutrient sources (annual variations in cropping and fertilizer use). The data and results presented in this report are in tabular format and can be downloaded and used by environmental researchers and water managers, particularly in the Southeast.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds488","usgsCitation":"Staub, E.L., Peak, K.L., Tighe, K., Sadorf, E.M., and Harned, D.A., 2010, Data Used in Analyses of Trends, and Nutrient and Suspended-Sediment Loads for Streams in the Southeastern United States, 1973-2005: U.S. Geological Survey Data Series 488, Data Tables; Report: HTML, https://doi.org/10.3133/ds488.","productDescription":"Data Tables; Report: HTML","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1973-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":130283,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14259,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/488/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers, Meters, Datum","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89,26.6 ], [ -89,39.15 ], [ -75.46666666666667,39.15 ], [ -75.46666666666667,26.6 ], [ -89,26.6 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67cac6","contributors":{"authors":[{"text":"Staub, Erik L. elstaub@usgs.gov","contributorId":2244,"corporation":false,"usgs":true,"family":"Staub","given":"Erik","email":"elstaub@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":304651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peak, Kelly L.","contributorId":81056,"corporation":false,"usgs":true,"family":"Peak","given":"Kelly","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":304653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tighe, Kirsten C.","contributorId":99930,"corporation":false,"usgs":true,"family":"Tighe","given":"Kirsten C.","affiliations":[],"preferred":false,"id":304654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sadorf, Eric M. emsadorf@usgs.gov","contributorId":2245,"corporation":false,"usgs":true,"family":"Sadorf","given":"Eric","email":"emsadorf@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":304652,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harned, Douglas A. daharned@usgs.gov","contributorId":1295,"corporation":false,"usgs":true,"family":"Harned","given":"Douglas","email":"daharned@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":304650,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98191,"text":"ds474 - 2010 - Groundwater-quality data in the Colorado River study unit, 2007: Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2022-07-20T12:11:49.113236","indexId":"ds474","displayToPublicDate":"2010-02-13T00:00:00","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":"474","title":"Groundwater-quality data in the Colorado River study unit, 2007: Results from the California GAMA Program","docAbstract":"<p>Groundwater quality in the 188-square-mile Colorado River Study unit (COLOR) was investigated October through December 2007 as part of the Priority Basin Project of the California State Water Resources Control Board (SWRCB) Groundwater Ambient Monitoring and Assessment (GAMA) Program. The GAMA Priority Basin Project was developed in response to the Groundwater Quality Monitoring Act of 2001, and the U.S. Geological Survey (USGS) is the technical project lead.</p><p>The Colorado River study was designed to provide a spatially unbiased assessment of the quality of raw groundwater used for public water supplies within COLOR, and to facilitate statistically consistent comparisons of groundwater quality throughout California. Samples were collected from 28 wells in three study areas in San Bernardino, Riverside, and Imperial Counties. Twenty wells were selected using a spatially distributed, randomized grid-based method to provide statistical representation of the Study unit; these wells are termed ‘grid wells’. Eight additional wells were selected to evaluate specific water-quality issues in the study area; these wells are termed ‘understanding wells.’</p><p>The groundwater samples were analyzed for organic constituents (volatile organic compounds [VOC], gasoline oxygenates and degradates, pesticides and pesticide degradates, pharmaceutical compounds), constituents of special interest (perchlorate, 1,4-dioxane, and 1,2,3-trichlorpropane [1,2,3-TCP]), naturally occurring inorganic constituents (nutrients, major and minor ions, and trace elements), and radioactive constituents. Concentrations of naturally occurring isotopes (tritium, carbon-14, and stable isotopes of hydrogen and oxygen in water), and dissolved noble gases also were measured to help identify the sources and ages of the sampled groundwater. In total, approximately 220 constituents and water-quality indicators were investigated.</p><p>Quality-control samples (blanks, replicates, and matrix spikes) were collected at approximately 30 percent of the wells, and the results were used to evaluate the quality of the data obtained from the groundwater samples. Field blanks rarely contained detectable concentrations of any constituent, suggesting that contamination was not a significant source of bias in the data. Differences between replicate samples were within acceptable ranges and matrix-spike recoveries were within acceptable ranges for most compounds.</p><p>This study did not attempt to evaluate the quality of water delivered to consumers; after withdrawal from the ground, raw groundwater typically is treated, disinfected, or blended with other waters to maintain acceptable water quality. Regulatory thresholds apply to water that is served to the consumer, not to raw groundwater. However, to provide some context for the results, concentrations of constituents measured in the raw groundwater were compared to regulatory and nonregulatory health-based thresholds established by the U.S. Environmental Protection Agency (USEPA) and the California Department of Public Health (CDPH) and to thresholds established for aesthetic concerns by CDPH. Comparisons between data collected for this study and drinking-water thresholds are for illustrative purposes only and do not indicate compliance or noncompliance with those thresholds.</p><p>The concentrations of most constituents detected in groundwater samples were below drinking-water thresholds. Volatile organic compounds (VOC) were detected in approximately 35 percent of grid well samples; all concentrations were below health-based thresholds. Pesticides and pesticide degradates were detected in about 20 percent of all samples; detections were below health-based thresholds. No concentrations of constituents of special interest or nutrients were detected above health-based thresholds. Most of the major and minor ion constituents sampled do not have health-based thresholds; the exception is chloride. Concentrations of chloride, sulfate, and total dissolved solids detected in some of the well samples were above the nonenforceable thresholds for aesthetic concerns. Concentrations of fluoride were detected in 5 samples (from 4 grid wells and 1 understanding well) above the maximum contaminant level for California (MCL-CA). Concentrations of most of the trace elements in samples from the COLOR study were below health-based thresholds; exceptions included arsenic above the MCL-US, boron above the notification level for California (NL-CA), iron and manganese above the secondary maximum contaminant level for California (SMCL-CA), and molybdenum and strontium above the lifetime health advisory level (HAL-US) threshold. Most detections of radioactive constituents were below health-based thresholds; exceptions were alpha, uranium, and radon radioactivity. Alpha radioactivity with 72 hour count detections occurred in four grid wells and one understanding well, and 30-day count detections in two grid wells above the MCL-US. Uranium was detected twice in grid wells above the MCL-US threshold. Also, radon-222 was detected at concentrations above the proposed MCL-US in 19 samples (14&nbsp;grid and 5 understanding wells). No radon-222 was detected above the proposed MCL-US upper threshold.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds474","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Goldrath, D., Wright, M.T., and Belitz, K., 2010, Groundwater-quality data in the Colorado River study unit, 2007: Results from the California GAMA Program: U.S. Geological Survey Data Series 474, x, 66 p., https://doi.org/10.3133/ds474.","productDescription":"x, 66 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-10-01","temporalEnd":"2007-12-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":199350,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13435,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/474/","linkFileType":{"id":5,"text":"html"}},{"id":404080,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91388.htm","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal Area Conic Projection","country":"United States","state":"California","otherGeospatial":"Colorado River study unit","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.9167,\n              32.7203\n            ],\n            [\n              -114.4167,\n              32.7203\n            ],\n            [\n              -114.4167,\n              35.0667\n            ],\n            [\n              -114.9167,\n              35.0667\n            ],\n            [\n              -114.9167,\n              32.7203\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a94e4b07f02db65897b","contributors":{"authors":[{"text":"Goldrath, Dara A.","contributorId":59896,"corporation":false,"usgs":true,"family":"Goldrath","given":"Dara A.","affiliations":[],"preferred":false,"id":304624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Michael T. 0000-0003-0653-6466 mtwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-6466","contributorId":1508,"corporation":false,"usgs":true,"family":"Wright","given":"Michael","email":"mtwright@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":false,"id":304623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":304622,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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