{"pageNumber":"710","pageRowStart":"17725","pageSize":"25","recordCount":46670,"records":[{"id":70208551,"text":"70208551 - 2010 - A model‐data intercomparison of CO2 exchange across North America: Results from the North American Carbon Program site synthesis","interactions":[],"lastModifiedDate":"2020-02-20T10:04:09","indexId":"70208551","displayToPublicDate":"2010-12-10T13:55:38","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"A model‐data intercomparison of CO2 exchange across North America: Results from the North American Carbon Program site synthesis","docAbstract":"<p><span>Our current understanding of terrestrial carbon processes is represented in various models used to integrate and scale measurements of CO</span><sub>2</sub><span>&nbsp;exchange from remote sensing and other spatiotemporal data. Yet assessments are rarely conducted to determine how well models simulate carbon processes across vegetation types and environmental conditions. Using standardized data from the North American Carbon Program we compare observed and simulated monthly CO</span><sub>2</sub><span>&nbsp;exchange from 44 eddy covariance flux towers in North America and 22 terrestrial biosphere models. The analysis period spans ∼220 site‐years, 10 biomes, and includes two large‐scale drought events, providing a natural experiment to evaluate model skill as a function of drought and seasonality. We evaluate models' ability to simulate the seasonal cycle of CO</span><sub>2</sub><span>&nbsp;exchange using multiple model skill metrics and analyze links between model characteristics, site history, and model skill. Overall model performance was poor; the difference between observations and simulations was ∼10 times observational uncertainty, with forested ecosystems better predicted than nonforested. Model‐data agreement was highest in summer and in temperate evergreen forests. In contrast, model performance declined in spring and fall, especially in ecosystems with large deciduous components, and in dry periods during the growing season. Models used across multiple biomes and sites, the mean model ensemble, and a model using assimilated parameter values showed high consistency with observations. Models with the highest skill across all biomes all used prescribed canopy phenology, calculated NEE as the difference between GPP and ecosystem respiration, and did not use a daily time step.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009JG001229","usgsCitation":"Schwalm, C.R., Williams, C.A., Schaefer, K., Anderson, R., Arain, M.A., Baker, I., Barr, A., Black, T.A., Chen, G., Chen, J.M., Ciais, P., Davis, K.J., Gu, L., Hollinger, D., Izaurralde, R.C., Kucharik, C., Lafleur, P., Law, B.E., Li, L., Li, Z., Liu, S., Lokupitiya, E., Luo, Y., Ma, S., Margolis, H.A., Matamala, R., McCaughey, H., Monson, R.K., Oechel, W.C., Peng, C., Poulter, B., Price, D.T., Riciutto, D.M., Riley, W., Sahoo, A., Sprintsin, M., Sun, J., Tian, H., Tonitto, C., Verbeeck, H., and Verma, S.B., 2010, A model‐data intercomparison of CO2 exchange across North America: Results from the North American Carbon Program site synthesis: Journal of Geophysical Research: Biogeosciences, v. 115, no. 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,{"id":98921,"text":"ofr20061260G - 2010 - Surficial geologic map of the Heath-Northfield-Southwick-Hampden 24-quadrangle area in the Connecticut Valley region, west-central Massachusetts","interactions":[],"lastModifiedDate":"2012-02-02T00:04:46","indexId":"ofr20061260G","displayToPublicDate":"2010-12-09T00:00:00","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":"2006-1260","chapter":"G","title":"Surficial geologic map of the Heath-Northfield-Southwick-Hampden 24-quadrangle area in the Connecticut Valley region, west-central Massachusetts","docAbstract":"The surficial geologic map layer shows the distribution of nonlithified earth materials at land surface in an area of 24 7.5-minute quadrangles (1,238 mi2 total) in west-central Massachusetts. Across Massachusetts, these materials range from a few feet to more than 500 ft in thickness. They overlie bedrock, which crops out in upland hills and as resistant ledges in valley areas. The geologic map differentiates surficial materials of Quaternary age on the basis of their lithologic characteristics (such as grain size and sedimentary structures), constructional geomorphic features, stratigraphic relationships, and age. Surficial materials also are known in engineering classifications as unconsolidated soils, which include coarse-grained soils, fine-grained soils, and organic fine-grained soils. Surficial materials underlie and are the parent materials of modern pedogenic soils, which have developed in them at the land surface. Surficial earth materials significantly affect human use of the land, and an accurate description of their distribution is particularly important for assessing water resources, construction aggregate resources, and earth-surface hazards, and for making land-use decisions. This work is part of a comprehensive study to produce a statewide digital map of the surficial geology at a 1:24,000-scale level of accuracy. This report includes explanatory text, quadrangle maps at 1:24,000 scale (PDF files), GIS data layers (ArcGIS shapefiles), metadata for the GIS layers, scanned topographic base maps (TIF), and a readme.txt file. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061260G","collaboration":"Prepared in cooperation with the Commonwealth of Massachusetts, Office of the State Geologist and Executive Office of Energy and Environmental Affairs\r\n\r\n","usgsCitation":"Stone, J.R., and DiGiacomo-Cohen, M.L., 2010, Surficial geologic map of the Heath-Northfield-Southwick-Hampden 24-quadrangle area in the Connecticut Valley region, west-central Massachusetts: U.S. Geological Survey Open-File Report 2006-1260, Text: iv, 14 p.; Appenix; Links to: Explanatory text; quadrangle maps; GIS data layers; metadata; scanned topographic base maps; readme.txt  , https://doi.org/10.3133/ofr20061260G.","productDescription":"Text: iv, 14 p.; Appenix; Links to: Explanatory text; quadrangle maps; GIS data layers; metadata; scanned topographic base maps; readme.txt  ","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":126771,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2006_1260_g.jpg"},{"id":14343,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1260/G/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae3e4b07f02db688f62","contributors":{"authors":[{"text":"Stone, Janet Radway jrstone@usgs.gov","contributorId":1695,"corporation":false,"usgs":true,"family":"Stone","given":"Janet","email":"jrstone@usgs.gov","middleInitial":"Radway","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":306943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiGiacomo-Cohen, Mary L.","contributorId":45253,"corporation":false,"usgs":true,"family":"DiGiacomo-Cohen","given":"Mary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":306944,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98920,"text":"ds545 - 2010 - Encounters of aircraft with volcanic ash clouds: A compilation of known incidents, 1953-2009","interactions":[],"lastModifiedDate":"2022-12-01T19:39:23.429798","indexId":"ds545","displayToPublicDate":"2010-12-09T00:00:00","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":"545","title":"Encounters of aircraft with volcanic ash clouds: A compilation of known incidents, 1953-2009","docAbstract":"Information about reported encounters of aircraft with volcanic ash clouds from 1953 through 2009 has been compiled to document the nature and scope of risks to aviation from volcanic activity. The information, gleaned from a variety of published and other sources, is presented in database and spreadsheet formats; the compilation will be updated as additional encounters occur and as new data and corrections come to light. The effects observed by flight crews and extent of aircraft damage vary greatly among incidents, and each incident in the compilation is rated according to a severity index. Of the 129 reported incidents, 94 incidents are confirmed ash encounters, with 79 of those having various degrees of airframe or engine damage; 20 are low-severity events that involve suspected ash or gas clouds; and 15 have data that are insufficient to assess severity. Twenty-six of the damaging encounters involved significant to very severe damage to engines and (or) airframes, including nine encounters with engine shutdown during flight. The average annual rate of damaging encounters since 1976, when reporting picked up, has been approximately 2 per year. Most of the damaging encounters occurred within 24 hours of the onset of ash production or at distances less than 1,000 kilometers from the source volcanoes. The compilation covers only events of relatively short duration for which aircraft were checked for damage soon thereafter; documenting instances of long-term repeated exposure to ash (or sulfate aerosols) will require further investigation.\r\n\r\nOf 38 source volcanoes, 8 have caused 5 or more encounters, of which the majority were damaging: Augustine (United States), Chaiten (Chile), Mount St. Helens (United States), Pacaya (Guatemala), Pinatubo (Philippines), Redoubt (United States), Sakura-jima (Japan), and Soufriere Hills (Montserrat, Lesser Antilles, United Kingdom). Aircraft have been damaged by eruptions ranging from small, recurring episodes to very large, infrequent events. Moderate-size (Volcanic Explosivity Index 3) eruptions are responsible for nearly half of the damaging encounters. Vigilance is required during the early phases of eruptive activity when data about ash emission may be the most limited and warning capabilities the most strained, yet the risk the greatest. The risk-mitigation strategy for minimizing damaging encounters continues to rely on the combination of real-time volcano monitoring and rapid eruption reporting, detection and tracking of ash clouds in the atmosphere using satellite-based sensors, dispersion modeling to forecast expected ash-cloud movement, and global dissemination of specialized warning messages.\r\n\r\nTo obtain the entire Data Series 545 report, download the text file and appendixes 1-4, which are available as separate files. Click on the links at right.\r\n\r\nPlease Send Updates\r\nWe hope that publication of this compilation will encourage more reporting of encounters by the aviation industry and civil aviation authorities. We actively seek corrections and additions to the information presented here. Persons who have corrections or additional data pertaining to incidents already in the database or who have data about previously unreported incidents are urged to contact the authors.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds545","usgsCitation":"Guffanti, M., Casadevall, T.J., and Budding, K., 2010, Encounters of aircraft with volcanic ash clouds: A compilation of known incidents, 1953-2009: U.S. Geological Survey Data Series 545, Report: iv, 11 p.; 4 Appendixes, https://doi.org/10.3133/ds545.","productDescription":"Report: iv, 11 p.; 4 Appendixes","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":126079,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_545.gif"},{"id":409935,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94639.htm","linkFileType":{"id":5,"text":"html"}},{"id":14341,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/545/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a19e4b07f02db6058c6","contributors":{"authors":[{"text":"Guffanti, Marianne","contributorId":68257,"corporation":false,"usgs":true,"family":"Guffanti","given":"Marianne","affiliations":[],"preferred":false,"id":306941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casadevall, Thomas J. 0000-0002-9447-6864 tcasadevall@usgs.gov","orcid":"https://orcid.org/0000-0002-9447-6864","contributorId":2734,"corporation":false,"usgs":true,"family":"Casadevall","given":"Thomas","email":"tcasadevall@usgs.gov","middleInitial":"J.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":306940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budding, Karin","contributorId":98268,"corporation":false,"usgs":true,"family":"Budding","given":"Karin","email":"","affiliations":[],"preferred":false,"id":306942,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":9000509,"text":"ds543 - 2010 - Digital map of the aquifer boundary for the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming","interactions":[{"subject":{"id":31128,"text":"ofr99267 - 1999 - Digital map of aquifer boundary for the High Plains Aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming","indexId":"ofr99267","publicationYear":"1999","noYear":false,"title":"Digital map of aquifer boundary for the High Plains Aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming"},"predicate":"SUPERSEDED_BY","object":{"id":9000509,"text":"ds543 - 2010 - Digital map of the aquifer boundary for the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming","indexId":"ds543","publicationYear":"2010","noYear":false,"title":"Digital map of the aquifer boundary for the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming"},"id":1}],"lastModifiedDate":"2022-01-11T19:59:11.813228","indexId":"ds543","displayToPublicDate":"2010-12-09T00:00:00","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":"543","title":"Digital map of the aquifer boundary for the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming","docAbstract":"This digital data set represents the extent of the High Plains aquifer in the central United States. The extent of the High Plains aquifer covers 174,000 square miles in eight states: Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. This data set represents a compilation of information from digital and paper sources and personal communication. This boundary is an update to the boundary published in U.S. Geological Survey Professional Paper 1400-B, and this report supersedes Open-File Report 99-267. The purpose of this data set is to refine and update the extent of the High Plains aquifer based on currently available information. This data set represents a compilation of arcs from a variety of sources and scales that represent the 174,000 square-mile extent of the High Plains aquifer within the eight states. Where updated information was not available, the original boundary extent defined by OFR 99-267 was retained. The citations for the sources in each State are listed in the 00README.txt file. The boundary also contains internal polygons, or 'islands', that represent the areas within the aquifer boundary where the aquifer is not present due to erosion or non-deposition. The datasets that pertain to this report can be found on the U.S. Geological Survey's NSDI (National Spatial Data Infrastructure) Node, the links are provided on the sidebar.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds543","usgsCitation":"Qi, S., 2010, Digital map of the aquifer boundary for the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming: U.S. Geological Survey Data Series 543, HTML Document; Metadata, https://doi.org/10.3133/ds543.","productDescription":"HTML Document; Metadata","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":394204,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94648.htm"},{"id":273215,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds543.xml"},{"id":14349,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/543/","linkFileType":{"id":5,"text":"html"}},{"id":116255,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_543.png"}],"country":"United States","state":"Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.314453125,\n              32.02670629333614\n            ],\n            [\n              -97.03125,\n              32.02670629333614\n            ],\n            [\n              -97.03125,\n              44.653024159812\n            ],\n            [\n              -107.314453125,\n              44.653024159812\n            ],\n            [\n              -107.314453125,\n              32.02670629333614\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a96e4b07f02db65a875","contributors":{"authors":[{"text":"Qi, Sharon","contributorId":31362,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","affiliations":[],"preferred":false,"id":344158,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":9000507,"text":"ofr20101300 - 2010 - Framework for ecological monitoring on lands of Alaska National Wildlife Refuges and their partners","interactions":[],"lastModifiedDate":"2017-12-11T11:52:09","indexId":"ofr20101300","displayToPublicDate":"2010-12-08T00:00:00","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":"2010-1300","title":"Framework for ecological monitoring on lands of Alaska National Wildlife Refuges and their partners","docAbstract":"<p>National Wildlife Refuges in Alaska and throughout the U.S. have begun developing a spatially comprehensive monitoring program to inform management decisions, and to provide data to broader research projects. In an era of unprecedented rates of climate change, monitoring is essential to detecting, understanding, communicating and mitigating climate-change effects on refuge and other resources under the protection of U.S. Fish and Wildlife Service, and requires monitoring results to address spatial scales broader than individual refuges. This document provides guidance for building a monitoring program for refuges in Alaska that meets refuge-specific management needs while also allowing synthesis and summary of ecological conditions at the ecoregional and statewide spatial scales.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101300","usgsCitation":"Woodward, A., and Beever, E.A., 2010, Framework for ecological monitoring on lands of Alaska National Wildlife Refuges and their partners: U.S. Geological Survey Open-File Report 2010-1300, vi, 52 p.; Appendices, https://doi.org/10.3133/ofr20101300.","productDescription":"vi, 52 p.; Appendices","numberOfPages":"94","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science 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,{"id":98919,"text":"sir20105199 - 2010 - Assessment of arsenic concentrations in domestic well water, by town, in Maine 2005-09","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105199","displayToPublicDate":"2010-12-08T00:00:00","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":"2010-5199","title":"Assessment of arsenic concentrations in domestic well water, by town, in Maine 2005-09","docAbstract":"Prior studies have established that approximately 10 percent of domestic wells in Maine have arsenic levels greater than the U.S. Environmental Protection Agency maximum contaminant limit (10 micrograms per liter (ug/L)). Of even greater concern are multiple discoveries of wells with very high arsenic levels (> 500 ug/L) in several areas of the State. A study was initiated to assist the Maine Center for Disease Control and Prevention (ME-CDC) in developing a better understanding of the statewide spatial occurrence of wells with elevated arsenic levels at the individual town level, identify areas of the State that should be targeted for increased efforts to promote well-water testing, and generate data for potential use in predicting areas of the State likely to have very high levels of arsenic. The State's Health and Environmental and Testing Laboratory (HETL) annually analyzes samples from thousands of domestic wells for arsenic. Results of arsenic analyses of domestic well water submitted to the HETL from 2005 to 2009 were screened and organized, by town, in order to summarize the results for all towns with samples submitted to the HETL. In order to preserve the privacy of well owners, the screening and organization of samples was conducted in the offices of the ME-CDC, following applicable Maine and United States laws, rules, and privacy policies. After screening, the database contained samples from 531 towns in Maine and from 11,111 individual wells. Of those towns, 385 had samples from 5 or more individual wells, 174 towns had samples from 20 or more individual wells, and 49 towns had samples from 60 or more wells. These samples, because they were submitted by homeowners and were not part of a random sample, may not be representative of all wells in a given area. The minimum, maximum, and median arsenic values for the towns with five or more samples were calculated, and the maximum and median values were mapped for the State. The percentages of samples exceeding 10, 50, 100, and 500 ug/L were calculated for the 174 towns with 20 or more sampled wells, and statewide maps were prepared for each of these categories. More than 25 percent of the sampled wells in 44 towns exceeded 10 ug/L. Many fewer towns had wells with samples that exceeded the 50, 100, or 500 ug/L categories. For 19 towns, more than 10 percent of the sampled wells had arsenic concentrations that exceeded 50 ug/L, and in 45 towns, 1 percent or more exceeded 100 ug/L. Of these, Surry in Hancock County had 120 wells tested, and 23 percent of those wells had arsenic concentrations that exceeded 100 ug/L, which is a much higher rate than for other towns. In only four towns (Danforth in Washington County, Surry and Blue Hill in Hancock County, and Woolwich in Sagadahoc County), 1 percent or more of the sampled wells had arsenic concentrations greater than 500 ug/L during 2005-09. The distribution of high arsenic concentrations in wells follows some geographic patterns, which are generally geologically controlled. There are clusters or belts of towns with high arsenic concentrations (> 50 ug/L), such as in southern coastal areas, the Kennebec County area, and towns along the central coastal part of Maine. In contrast, there are areas of the State with low arsenic concentrations, such as the northernmost towns, as well as towns in the western and west-central areas. There appear to be three distinct large-scale areas of high concentrations of arsenic in groundwater-one in southern coastal areas, one in central Kennebec County, and one in the town of Ellsworth (Hancock County) and the surrounding areas. In addition, several smaller clusters of isolated high concentrations of arsenic in groundwater exist. Earlier testing has identified other clusters of very high arsenic concentrations in groundwater in the towns of Northport, Buxton/Hollis, and Waldoboro, but those samples were collected before 2005 and did not factor in this analysis.\r\n\t\r\n\r\n\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105199","collaboration":"Prepared in cooperation with the Maine Center for Disease Control and Prevention\r\nNational Water-Quality Assessment Program","usgsCitation":"Nielsen, M., Lombard, P., and Schalk, L., 2010, Assessment of arsenic concentrations in domestic well water, by town, in Maine 2005-09: U.S. Geological Survey Scientific Investigations Report 2010-5199, vii, 36 p. ; appendices, https://doi.org/10.3133/sir20105199.","productDescription":"vii, 36 p. ; appendices","onlineOnly":"Y","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":126021,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5199.jpg"},{"id":14340,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5199/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"UTM","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71,43 ], [ -71,48 ], [ -66.5,48 ], [ -66.5,43 ], [ -71,43 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672866","contributors":{"authors":[{"text":"Nielsen, M.G.","contributorId":103635,"corporation":false,"usgs":true,"family":"Nielsen","given":"M.G.","email":"","affiliations":[],"preferred":false,"id":306939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lombard, P.J.","contributorId":98278,"corporation":false,"usgs":true,"family":"Lombard","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":306938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schalk, L.F.","contributorId":36520,"corporation":false,"usgs":true,"family":"Schalk","given":"L.F.","email":"","affiliations":[],"preferred":false,"id":306937,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98918,"text":"sir20105216 - 2010 - Water resources of Monroe County, New York, water years 2003-08: Streamflow, constituent loads, and trends in water quality","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105216","displayToPublicDate":"2010-12-08T00:00:00","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":"2010-5216","title":"Water resources of Monroe County, New York, water years 2003-08: Streamflow, constituent loads, and trends in water quality","docAbstract":"This report, the sixth in a series published since 1994, presents analyses of hydrologic data in Monroe County for the period October 2002 through September 2008. Streamflows and water quality were monitored at nine sites by the Monroe County Department of Health and the U.S. Geological Survey. Streamflow yields (flow per unit area) were highest in Northrup Creek, which had sustained flows from year-round inflow from the village of Spencerport wastewater-treatment plant and seasonal releases from the New York State Erie (Barge) Canal. Genesee River streamflow yields also were high, at least in part, as a result of higher rainfall and lower evapotranspiration rates in the upper part of the Genesee River Basin than in the other study basins. The lowest streamflow yields were measured in Honeoye Creek, which reflected a decrease in flows due to the withdrawals from Hemlock and Canadice Lakes for the city of Rochester water supply.\r\nWater samples collected at nine monitoring sites were analyzed for nutrients, chloride, sulfate, and total suspended solids. The loads of constituents, which were computed from the concentration data and the daily flows recorded at each of the monitoring sites, are estimates of the mass of the constituents that was transported in the streamflow. Annual yields (loads per unit area) also were computed to assess differences in constituent transport among the study basins. All urban sites - Allen Creek and the two downstream sites on Irondequoit Creek - had seasonally high concentrations and annual yields of chloride. Chloride loads are attributed to the application of road-deicing salts to the county's roadways and are related to population and road densities. The less-urbanized sites in the study - Genesee River, Honeoye Creek, and Oatka Creek - had relatively low concentrations and yields of chloride. The highest concentrations and yields of sulfate were measured in Black Creek, Oatka Creek, and Irondequoit Creek at Railroad Mills and are attributable to dissolution of sulfate from gypsum (calcium sulfate) deposits in Silurian shale bedrock that crops out upstream from these monitoring sites.\r\nNorthrup Creek had the highest concentrations of phosphorus, orthophosphate, and nitrogen, and high yields of nitrate plus nitrite nitrogen and ammonia plus organic nitrogen. These results are attributed to discharges from the Spencerport wastewater-treatment plant (which ceased operation in June 2008), diversions from the New York State Erie (Barge) Canal, and manure and fertilizers applied to agricultural fields. Concentrations and yields of nitrate plus nitrite nitrogen also were high in Oatka Creek and Black Creek; basins with substantial agricultural land uses. Allen Creek had the second highest yield of ammonia plus organic nitrogen. Honeoye Creek, which drains a relatively undeveloped basin, had the lowest yields of nitrogen constituents. The second highest median concentrations and highest sample concentrations of phosphorus and orthophosphate, as well as the highest phosphorus yields, were measured in the Genesee River.\r\nA comparison of the yields computed for the two downstream sites on Irondequoit Creek - above Blossom Road and at Empire Boulevard - permitted an assessment of the mitigative effects of the Ellison Park wetland on constituent loads, which would otherwise be transported to Irondequoit Bay. These effects also include those provided by a flow-control structure (installed mid-way through the wetland during February 1997), which was designed to increase the dispersal and short-term detention of stormflows in the wetland. The wetland decreased yields of particulate constituents - phosphorus and ammonia plus organic nitrogen - but had little effect on the yields of dissolved constituents - chloride, sulfate, and nitrate plus nitrite nitrogen.\r\nTrends in flow-adjusted concentrations were identified at all sites for most of the nutrient constituents that were evaluated. All of the linear time tren","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105216","collaboration":"Prepared in cooperation with Monroe County Department of Health","usgsCitation":"Hayhurst, B.A., Coon, W.F., and Eckhardt, D., 2010, Water resources of Monroe County, New York, water years 2003-08: Streamflow, constituent loads, and trends in water quality: U.S. Geological Survey Scientific Investigations Report 2010-5216, vii, 34 p., https://doi.org/10.3133/sir20105216.","productDescription":"vii, 34 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2002-10-01","temporalEnd":"2008-09-30","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":126027,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5216.gif"},{"id":14339,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5216/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator Projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78,42.083333333333336 ], [ -78,43.416666666666664 ], [ -77.35,43.416666666666664 ], [ -77.35,42.083333333333336 ], [ -78,42.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f4e4b07f02db5f074d","contributors":{"authors":[{"text":"Hayhurst, Brett A. 0000-0002-1717-2015 bhayhurs@usgs.gov","orcid":"https://orcid.org/0000-0002-1717-2015","contributorId":3398,"corporation":false,"usgs":true,"family":"Hayhurst","given":"Brett","email":"bhayhurs@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eckhardt, David A.V.","contributorId":80233,"corporation":false,"usgs":true,"family":"Eckhardt","given":"David A.V.","affiliations":[],"preferred":false,"id":306936,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98916,"text":"ds547 - 2010 - Improved USGS methodology for assessing continuous petroleum resources","interactions":[],"lastModifiedDate":"2012-02-02T00:04:27","indexId":"ds547","displayToPublicDate":"2010-12-07T00:00:00","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":"547","title":"Improved USGS methodology for assessing continuous petroleum resources","docAbstract":"This report presents an improved methodology for estimating volumes of continuous (unconventional) oil and gas resources within the United States and around the world. The methodology is based on previously developed U.S. Geological Survey methodologies that rely on well-scale production data. Improvements were made primarily to how the uncertainty about estimated ultimate recoveries is incorporated in the estimates. This is particularly important when assessing areas with sparse or no production data, because the new methodology allows better use of analog data from areas with significant discovery histories.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds547","usgsCitation":"Charpentier, R., and Cook, T.A., 2010, Improved USGS methodology for assessing continuous petroleum resources: U.S. Geological Survey Data Series 547, iii, 22 p.; Downloads Directory , https://doi.org/10.3133/ds547.","productDescription":"iii, 22 p.; Downloads Directory ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":126083,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_547.bmp"},{"id":14337,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/547/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e893","contributors":{"authors":[{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":306930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":306931,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98917,"text":"fs20103118 - 2010 - Social Values for Ecosystem Services (SolVES): using GIS to include social values information in ecosystem services assessments","interactions":[],"lastModifiedDate":"2013-11-20T13:20:13","indexId":"fs20103118","displayToPublicDate":"2010-12-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3118","title":"Social Values for Ecosystem Services (SolVES): using GIS to include social values information in ecosystem services assessments","docAbstract":"Ecosystem services can be defined in various ways; simply put, they are the benefits provided by nature, which contribute to human well-being. These benefits can range from tangible products such as food and fresh water to cultural services such as recreation and esthetics. As the use of these benefits continues to increase, additional pressures are placed on the natural ecosystems providing them. This makes it all the more important when assessing possible tradeoffs among ecosystem services to consider the human attitudes and preferences that express underlying social values associated with their benefits. While some of these values can be accounted for through economic markets, other values can be more difficult to quantify, and attaching dollar amounts to them may not be very useful in all cases. Regardless of the processes or units used for quantifying such values, the ability to map them across the landscape and relate them to the ecosystem services to which they are attributed is necessary for effective assessments.\n\nTo address some of the needs associated with quantifying and mapping social values for inclusion in ecosystem services assessments, scientists at the Rocky Mountain Geographic Science Center (RMGSC), in collaboration with Colorado State University, have developed a public domain tool, Social Values for Ecosystem Services (SolVES). SolVES is a geographic information system (GIS) application designed to use data from public attitude and preference surveys to assess, map, and quantify social values for ecosystem services. SolVES calculates and maps a 10-point Value Index representing the relative perceived social values of ecosystem services such as recreation and biodiversity for various groups of ecosystem stakeholders. SolVES output can also be used to identify and model relationships between social values and physical characteristics of the underlying landscape. These relationships can then be used to generate predicted Value Index maps for areas where survey data are not available. RMGSC will continue to develop more robust versions of SolVES by pursuing opportunities to work with land and resource managers as well as other researchers to apply SolVES to specific ecosystem management problems.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103118","usgsCitation":"Sherrouse, B., and Semmens, D., 2010, Social Values for Ecosystem Services (SolVES): using GIS to include social values information in ecosystem services assessments: U.S. Geological Survey Fact Sheet 2010-3118, 2 p., https://doi.org/10.3133/fs20103118.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":126082,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3118.png"},{"id":14338,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3118/","linkFileType":{"id":5,"text":"html"}},{"id":279256,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2010/3118/pdf/FS10-3118.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49efe4b07f02db5edd78","contributors":{"authors":[{"text":"Sherrouse, B.C.","contributorId":94654,"corporation":false,"usgs":true,"family":"Sherrouse","given":"B.C.","affiliations":[],"preferred":false,"id":306933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, D.J.","contributorId":56628,"corporation":false,"usgs":true,"family":"Semmens","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":306932,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":9000503,"text":"ofr20101092 - 2010 - Hydrologic Data for Deep Creek Lake and Selected Tributaries, Garrett County, Maryland, 2007-08","interactions":[],"lastModifiedDate":"2023-11-28T14:52:45.829771","indexId":"ofr20101092","displayToPublicDate":"2010-12-07T00:00:00","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":"2010-1092","title":"Hydrologic Data for Deep Creek Lake and Selected Tributaries, Garrett County, Maryland, 2007-08","docAbstract":"Introduction Recent and ongoing efforts to develop the land in the area around Deep Creek Lake, Garrett County, Maryland, are expected to change the volume of sediment moving toward and into the lake, as well as impact the water quality of the lake and its many tributaries. With increased development, there is an associated increased demand for groundwater and surface-water withdrawals, as well as boat access. Proposed dredging of the lake bottom to improve boat access has raised concerns about the adverse environmental effects such activities would have on the lake. The Maryland Department of Natural Resources (MDDNR) and the U.S. Geological Survey (USGS) entered into a cooperative study during 2007 and 2008 to address these issues. This study was designed to address several objectives to support MDDNR?s management strategy for Deep Creek Lake. The objectives of this study were to: Determine the current physical shape of the lake through bathymetric surveys; Initiate flow and sediment monitoring of selected tributaries to characterize the stream discharge and sediment load of lake inflows; Determine sedimentation rates using isotope analysis of sediment cores; Characterize the degree of hydraulic connection between the lake and adjacent aquifer systems; and Develop an estimate of water use around Deep Creek Lake. Summary of Activities Data were collected in Deep Creek Lake and in selected tributaries from September 2007 through September 2008. The methods of investigation are presented here and all data have been archived according to USGS policy for future use. The material presented in this report is intended to provide resource managers and policy makers with a broad understanding of the bathymetry, surface water, sedimentation rates, groundwater, and water use in the study area. The report is structured so that the reader can access each topic separately using any hypertext markup (HTML) language reader. In order to establish a base-line water-depth map of Deep Creek Lake, a bathymetric survey of the lake bottom was conducted in 2007. The data collected were used to generate a bathymetric map depicting depth to the lake bottom from a full pool elevation of 2,462 feet (National Geodetic Vertical Datum of 1929). Data were collected along about 90 linear miles across the lake using a fathometer and a differentially corrected global positioning system. As part of a long-term monitoring plan for all surface-water inputs to the lake, streamflow data were collected continuously at two stations constructed on Poland Run and Cherry Creek. The sites were selected to represent areas of the watershed under active development and areas that are relatively stable with respect to development. Twelve months of discharge data are provided for both streams. In addition, five water-quality parameters were collected continuously at the Poland Run station including pH, specific conductance, temperature, dissolved oxygen, and turbidity. Water samples collected at Poland Run were analyzed for sediment concentration, and the results of this analysis were used to estimate the annual sediment load into Deep Creek Lake from Poland Run. To determine sedimentation rates, cores of lake-bottom sediments were collected at 23 locations. Five of the cores were analyzed using a radiometric-dating method, allowing average rates of sedimentation to be estimated for the time periods 1925 to 2008, 1925 to 1963, and 1963 to 2008. Particle-size data from seven cores collected at locations throughout the study area were analyzed to provide information on the amount of fine material in lake-bed sediments. Groundwater levels were monitored continuously in four wells and weekly in nine additional wells during October, November, and December of 2008. Water levels were compared to recorded lake levels and precipitation during the same period to determine the effect of lake-level drawdown and recovery on the adjacent aquifer systems. Water use in the Deep Creek Lake wa","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101092","usgsCitation":"Banks, W.S., Davies, W.J., Gellis, A., LaMotte, A.E., McPherson, W.S., and Soeder, D.J., 2010, Hydrologic Data for Deep Creek Lake and Selected Tributaries, Garrett County, Maryland, 2007-08: U.S. Geological Survey Open-File Report 2010-1092, Online only report, https://doi.org/10.3133/ofr20101092.","productDescription":"Online only report","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-09-01","temporalEnd":"2008-09-30","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":203300,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":19170,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1092/index.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","contact":"<p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"https://pubs.er.usgs.gov/contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2de4b07f02db6142ee","contributors":{"authors":[{"text":"Banks, William S.L.","contributorId":35281,"corporation":false,"usgs":true,"family":"Banks","given":"William","email":"","middleInitial":"S.L.","affiliations":[],"preferred":false,"id":344146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davies, William J. wjdavies@usgs.gov","contributorId":4293,"corporation":false,"usgs":true,"family":"Davies","given":"William","email":"wjdavies@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":344144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":1709,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen C.","email":"agellis@usgs.gov","affiliations":[{"id":375,"text":"Maryland, Delaware, and the District of Columbia Water Science Center","active":false,"usgs":true}],"preferred":false,"id":344142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McPherson, Wendy S. wsmcpher@usgs.gov","contributorId":4294,"corporation":false,"usgs":true,"family":"McPherson","given":"Wendy","email":"wsmcpher@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":344145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Soeder, Daniel J.","contributorId":70040,"corporation":false,"usgs":true,"family":"Soeder","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":344147,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98909,"text":"sir20105240 - 2010 - Channel-conveyance capacity, channel change, and sediment transport in the lower Puyallup, White, and Carbon Rivers, western Washington","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105240","displayToPublicDate":"2010-12-02T00:00:00","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":"2010-5240","title":"Channel-conveyance capacity, channel change, and sediment transport in the lower Puyallup, White, and Carbon Rivers, western Washington","docAbstract":"Draining the volcanic, glaciated terrain of Mount Rainier, Washington, the Puyallup, White, and Carbon Rivers convey copious volumes of water and sediment down to Commencement Bay in Puget Sound. Recent flooding in the lowland river system has renewed interest in understanding sediment transport and its effects on flow conveyance throughout the lower drainage basin. Bathymetric and topographic data for 156 cross sections were surveyed in the lower Puyallup River system by the U.S. Geological Survey (USGS) and were compared with similar datasets collected in 1984. Regions of significant aggradation were measured along the Puyallup and White Rivers. Between 1984 and 2009, aggradation totals as measured by changes in average channel elevation were as much as 7.5, 6.5, and 2 feet on the Puyallup, White, and Carbon Rivers, respectively. These aggrading river sections correlated with decreasing slopes in riverbeds where the rivers exit relatively confined sections in the upper drainage and enter the relatively unconstricted valleys of the low-gradient Puget Lowland. Measured grain-size distributions from each riverbed showed a progressive fining downstream.\r\n\r\nAnalysis of stage-discharge relations at streamflow-gaging stations along rivers draining Mount Rainier demonstrated the dynamic nature of channel morphology on river courses influenced by glaciated, volcanic terrain. The greatest rates of aggradation since the 1980s were in the Nisqually River near National (5.0 inches per year) and the White River near Auburn (1.8 inches per year). Less pronounced aggradation was measured on the Puyallup River and the White River just downstream of Mud Mountain Dam. The largest measured rate of incision was measured in the Cowlitz River at Packwood (5.0 inches per year).\r\n\r\nChannel-conveyance capacity estimated using a one-dimensional hydraulic model decreased in some river reaches since 1984. The reach exhibiting the largest decrease (about 20-50 percent) in channel-conveyance capacity was the White River between R Street Bridge and the Lake Tapps return, a reach affected by recent flooding. Conveyance capacity also decreased in sections of the Puyallup River. Conveyance capacity was mostly unchanged along other study reaches. Bedload transport was simulated throughout the entire river network and consistent with other observations and analyses, the hydraulic model showed that the upper Puyallup and White Rivers tended to accumulate sediment. Accuracy of the bedload-transport modeling, however, was limited due to a scarcity of sediment-transport data sets from the Puyallup system, mantling of sand over cobbles in the lower Puyallup and White Rivers, and overall uncertainty in modeling sediment transport in gravel-bedded rivers. Consequently, the output results from the model were treated as more qualitative in value, useful in comparing geomorphic trends within different river reaches, but not accurate in producing precise predictions of mass of sediment moved or deposited.\r\n\r\nThe hydraulic model and the bedload-transport component were useful for analyzing proposed river-management options, if surveyed cross sections adequately represented the river-management site and proposed management options. The hydraulic model showed that setback levees would provide greater flood protection than gravel-bar scalping after the initial project construction and for some time thereafter, although the model was not accurate enough to quantify the length of time of the flood protection.  The greatest hydraulic benefit from setback levees would be a substantial increase in the effective channel-conveyance area. By widening the distance between levees, the new floodplain would accommodate larger increases in discharge with relatively small incremental increases in stage. Model simulation results indicate that the hydraulic benefit from a setback levee also would be long-lived and would effectively compensate for increased deposition within the setback reach","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105240","collaboration":"Prepared in cooperation with Pierce County Public Works and Utilities, Surface Water Managment","usgsCitation":"Czuba, J., Czuba, C.R., Magirl, C.S., and Voss, F.D., 2010, Channel-conveyance capacity, channel change, and sediment transport in the lower Puyallup, White, and Carbon Rivers, western Washington: U.S. Geological Survey Scientific Investigations Report 2010-5240, xii, 85 p.; Appendices; Data Files: 2009 Bed Material Grain Size Distributions; 2009 USGS Cross Sections; 2010 USGS Additional Sumner Cross Sections, https://doi.org/10.3133/sir20105240.","productDescription":"xii, 85 p.; Appendices; Data Files: 2009 Bed Material Grain Size Distributions; 2009 USGS Cross Sections; 2010 USGS Additional Sumner Cross Sections","additionalOnlineFiles":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":126142,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5240.bmp"},{"id":14328,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5240/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5,46.666666666666664 ], [ -122.5,47.333333333333336 ], [ -121.33333333333333,47.333333333333336 ], [ -121.33333333333333,46.666666666666664 ], [ -122.5,46.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e4e4b07f02db5e629a","contributors":{"authors":[{"text":"Czuba, Jonathan A.","contributorId":19917,"corporation":false,"usgs":true,"family":"Czuba","given":"Jonathan A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":306915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":306914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magirl, Chistopher S.","contributorId":92213,"corporation":false,"usgs":true,"family":"Magirl","given":"Chistopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":306916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voss, Frank D. fdvoss@usgs.gov","contributorId":1651,"corporation":false,"usgs":true,"family":"Voss","given":"Frank","email":"fdvoss@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306913,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98907,"text":"sir20105129 - 2010 - Geochemical evolution processes and water-quality observations based on results of the National Water-Quality Assessment Program in the San Antonio segment of the Edwards aquifer, Texas, 1996-2006","interactions":[],"lastModifiedDate":"2022-01-07T20:17:48.457498","indexId":"sir20105129","displayToPublicDate":"2010-12-02T00:00:00","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":"2010-5129","title":"Geochemical evolution processes and water-quality observations based on results of the National Water-Quality Assessment Program in the San Antonio segment of the Edwards aquifer, Texas, 1996-2006","docAbstract":"<p>As part of the National Water-Quality Assessment Program, the U.S. Geological Survey collected and analyzed groundwater samples during 1996-2006 from the San Antonio segment of the Edwards aquifer of central Texas, a productive karst aquifer developed in Cretaceous-age carbonate rocks. These National Water-Quality Assessment Program studies provide an extensive dataset of groundwater geochemistry and water quality, consisting of 249 groundwater samples collected from 136 sites (wells and springs), including (1) wells completed in the shallow, unconfined, and urbanized part of the aquifer in the vicinity of San Antonio (shallow/urban unconfined category), (2) wells completed in the unconfined (outcrop area) part of the regional aquifer (unconfined category), and (3) wells completed in and springs discharging from the confined part of the regional aquifer (confined category). This report evaluates these data to assess geochemical evolution processes, including local- and regional-scale processes controlling groundwater geochemistry, and to make water-quality observations pertaining to sources and distribution of natural constituents and anthropogenic contaminants, the relation between geochemistry and hydrologic conditions, and groundwater age tracers and travel time. Implications for monitoring water-quality trends in karst are also discussed. Geochemical and isotopic data are useful tracers of recharge, groundwater flow, fluid mixing, and water-rock interaction processes that affect water quality. Sources of dissolved constituents to Edwards aquifer groundwater include dissolution of and geochemical interaction with overlying soils and calcite and dolomite minerals that compose the aquifer. Geochemical tracers such as magnesium to calcium and strontium to calcium ratios and strontium isotope compositions are used to evaluate and constrain progressive fluid-evolution processes. Molar ratios of magnesium to calcium and strontium to calcium in groundwater typically increase along flow paths; results for samples of Edwards aquifer groundwater show an increase from shallow/urban unconfined, to unconfined, to confined groundwater categories. These differences are consistent with longer residence times and greater extents of water-rock interaction controlling fluid compositions as groundwater evolves from shallow unconfined groundwater to deeper confined groundwater. Results for stable isotopes of hydrogen and oxygen indicate specific geochemical processes affect some groundwater samples, including mixing with downdip saline water, mixing with recent recharge associated with tropical cyclonic storms, or mixing with recharge water than has undergone evaporation. The composition of surface water recharging the aquifer, as well as mixing with downdip water from the Trinity aquifer or the saline zone, also might affect water quality. A time-series record (1938-2006) of discharge at Comal Springs, one of the major aquifer discharge points, indicates an upward trend for nitrate and chloride concentrations, which likely reflects anthropogenic activities. A small number of organic contaminants were routinely or frequently detected in Edwards aquifer groundwater samples. These were the pesticides atrazine, its degradate deethylatrazine, and simazine; the drinking-water disinfection byproduct chloroform; and the solvent tetrachloroethene. Detection of these contaminants was most frequent in samples of the shallow/urban unconfined groundwater category and least frequent in samples of the unconfined groundwater category. Results indicate that the shallow/urban unconfined part of the aquifer is most affected by anthropogenic contaminants and the unconfined part of the aquifer is the least affected. The high frequency of detection for these anthropogenic contaminants aquifer-wide and in samples of deep, confined groundwater indicates that the entire aquifer is susceptible to water-quality changes as a result of anthropogenic activities. L</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/sir20105129","usgsCitation":"Musgrove, M., Fahlquist, L., Houston, N.A., Lindgren, R.J., and Ging, P.B., 2010, Geochemical evolution processes and water-quality observations based on results of the National Water-Quality Assessment Program in the San Antonio segment of the Edwards aquifer, Texas, 1996-2006: U.S. Geological Survey Scientific Investigations Report 2010-5129, xi, 93 p., https://doi.org/10.3133/sir20105129.","productDescription":"xi, 93 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1996-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":126144,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5129.png"},{"id":14326,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5129/","linkFileType":{"id":5,"text":"html"}},{"id":394053,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94624.htm"}],"country":"United States","state":"Texas","otherGeospatial":"San Antonio segment of Edwards aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.4375,\n              29\n            ],\n            [\n              -97.66667,\n              29\n            ],\n            [\n              -97.6667,\n              30.3\n            ],\n            [\n              -100.4375,\n              30.3\n            ],\n            [\n              -100.4375,\n              29\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db697f08","contributors":{"authors":[{"text":"Musgrove, MaryLynn","contributorId":34878,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","affiliations":[],"preferred":false,"id":306909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fahlquist, Lynne","contributorId":8810,"corporation":false,"usgs":true,"family":"Fahlquist","given":"Lynne","affiliations":[],"preferred":false,"id":306908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houston, Natalie A. 0000-0002-6071-4545 nhouston@usgs.gov","orcid":"https://orcid.org/0000-0002-6071-4545","contributorId":1682,"corporation":false,"usgs":true,"family":"Houston","given":"Natalie","email":"nhouston@usgs.gov","middleInitial":"A.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindgren, Richard J. lindgren@usgs.gov","contributorId":1667,"corporation":false,"usgs":true,"family":"Lindgren","given":"Richard","email":"lindgren@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":306905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ging, Patricia B. 0000-0001-5491-8448 pbging@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-8448","contributorId":1788,"corporation":false,"usgs":true,"family":"Ging","given":"Patricia","email":"pbging@usgs.gov","middleInitial":"B.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306907,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198305,"text":"70198305 - 2010 - Magma flux at Okmok Volcano, Alaska, from a joint inversion of continuous GPS, campaign GPS, and interferometric synthetic aperture radar","interactions":[],"lastModifiedDate":"2022-05-19T15:45:08.029855","indexId":"70198305","displayToPublicDate":"2010-12-01T07:39:49","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Magma flux at Okmok Volcano, Alaska, from a joint inversion of continuous GPS, campaign GPS, and interferometric synthetic aperture radar","docAbstract":"<p><span>Volcano deformation is usually measured using satellite geodetic techniques including interferometric synthetic aperture radar (InSAR), campaign GPS, and continuous GPS. Differences in the spatial and temporal sampling of each system mean that most appropriate inversion scheme to determine the source parameters from each data set is different. Most studies either compare results from independent inversions or subsample the data sets to the lowest common factor. It is unclear whether differences in the solution reflect differences in source behavior, differences in measurement bias, or differences in inversion technique. Here we develop a single inversion procedure that captures the benefits of each system, especially the daily sampling of continuous GPS and the high spatial resolution of InSAR. Okmok Volcano, Alaska, is an ideal target for such a test because a long series (&lt;15 years) of InSAR and continuous GPS measurement exists and the source is almost continuously active and in a stable location.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JB007577","usgsCitation":"Biggs, J., Lu, Z., Fournier, T., and Freymueller, J., 2010, Magma flux at Okmok Volcano, Alaska, from a joint inversion of continuous GPS, campaign GPS, and interferometric synthetic aperture radar: Journal of Geophysical Research B: Solid Earth, v. 115, no. B12, B12401; 11 p., https://doi.org/10.1029/2010JB007577.","productDescription":"B12401; 11 p.","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":356036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Okmok Volcano, Umnak Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.46572875976562,\n              53.26685566290742\n            ],\n            [\n              -168.46572875976562,\n              53.570491879287\n            ],\n            [\n              -167.772216796875,\n              53.570491879287\n            ],\n            [\n              -167.772216796875,\n              53.26685566290742\n            ],\n            [\n              -168.46572875976562,\n              53.26685566290742\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"115","issue":"B12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98b6b6e4b0702d0e844c6c","contributors":{"authors":[{"text":"Biggs, Juliet","contributorId":99018,"corporation":false,"usgs":true,"family":"Biggs","given":"Juliet","affiliations":[],"preferred":false,"id":740963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":740964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fournier, T.","contributorId":78964,"corporation":false,"usgs":true,"family":"Fournier","given":"T.","email":"","affiliations":[],"preferred":false,"id":740965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freymueller, Jeffrey T.","contributorId":96841,"corporation":false,"usgs":false,"family":"Freymueller","given":"Jeffrey T.","affiliations":[{"id":26875,"text":"Michigan State University, East Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":740966,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98903,"text":"ofr20101234 - 2010 - Water-quality data from storm runoff after the 2007 fires, San Diego County, California","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"ofr20101234","displayToPublicDate":"2010-12-01T00:00:00","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":"2010-1234","title":"Water-quality data from storm runoff after the 2007 fires, San Diego County, California","docAbstract":"The U.S. Geological Survey collected water-quality samples during the first two storms after the Witch and Harris Fires (October 2007) in southern California. The sampling locations represent an urban area (two residential sites in Rancho Bernardo that were affected by the Witch Fire; a drainage ditch and a storm drain) and a rural area (Cotton-wood Creek, which was downstream of a mobile home park destroyed by the Harris Fire). \r\n\r\nFires produce ash and solid residues that contain soluble chemicals that can contaminant runoff. The contaminants, whether sorbed to soil and ash or dissolved, can seriously affect the quality of water supplies and sensitive ecosystems. \r\n\r\nStormflow water samples were analyzed for field parameters, optical properties, and for a variety of constituents, including nutrients, dissolved organic carbon (DOC), suspended sediment, and metals. \r\n\r\npH values for storm runoff from the urban areas (7.6 to 8.5) were less than pH values for ash and burned soil from previous studies (12.5 to 13). pH values for storm runoff from the rural area (about 7.7) also were less than pH values for ash and burned soil collected from the rural area (8.6 to 11.8), but were similar to pH values for wildland burned soil from previous studies. Turbidity values were much lower for the urban area than for the rural area. \r\n\r\nNitrate concentrations in stormflow samples from all sites were less than a quarter of the U.S. Environmental Protection Agency's (2006) maximum allowable contaminant level of 10 milligrams per liter (mg/L) (as nitrogen). Phosphorus concentrations were half as much in filtered samples and two orders of magnitude smaller in unfiltered samples at the urban sites than at the rural site. DOC concentrations in stormflow samples were one order of magnitude lower at the urban sites than at the rural site. Ultraviolet (UV) absorbance at 254 nanometers (UV254) in samples ranged from 0.145 to 0.782 per centimeter (cm-1). UV-absorbance data at the urban sites indicate that the composition of DOC remained similar during both storms even though the DOC concentration changed.\r\n\r\nTotal suspended-sediment concentrations ranged from 0.01 to 0.24 mg/L at the urban area, and were 12 and 45 mg/L at the rural area. Trace metals analyzed in unfiltered water samples had lower concentrations in the urban area than in the rural area. No concentrations of arsenic or mercury measured in the samples were above aquatic-life criteria. In the urban area, most concentrations of aluminum, iron, and lead exceeded aquatic-life criteria. In the rural area, aluminum, cadmium, iron, lead, and zinc exceeded aquatic-life criteria. Concentrations of aluminum and iron were two orders of magnitude larger in the rural area than in the urban area. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101234","usgsCitation":"Mendez, G.O., 2010, Water-quality data from storm runoff after the 2007 fires, San Diego County, California: U.S. Geological Survey Open-File Report 2010-1234, 8 p., https://doi.org/10.3133/ofr20101234.","productDescription":"8 p.","additionalOnlineFiles":"N","temporalStart":"2007-11-30","temporalEnd":"2010-12-07","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":126130,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1234.jpg"},{"id":14322,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1234/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e56e8","contributors":{"authors":[{"text":"Mendez, Gregory O. 0000-0002-9955-3726 gomendez@usgs.gov","orcid":"https://orcid.org/0000-0002-9955-3726","contributorId":1489,"corporation":false,"usgs":true,"family":"Mendez","given":"Gregory","email":"gomendez@usgs.gov","middleInitial":"O.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":306894,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98904,"text":"ofr20101255 - 2010 - Mineral facilities of Northern and Central Eurasia","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ofr20101255","displayToPublicDate":"2010-12-01T00:00:00","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":"2010-1255","title":"Mineral facilities of Northern and Central Eurasia","docAbstract":"This map displays almost 900 records of mineral facilities within the countries that formerly constituted the Union of Soviet Socialist Republics (USSR). Each record represents one commodity and one facility type at a single geographic location. Facility types include mines, oil and gas fields, and plants, such as refineries, smelters, and mills. Common commodities of interest include aluminum, cement, coal, copper, gold, iron and steel, lead, nickel, petroleum, salt, silver, and zinc. Records include attributes, such as commodity, country, location, company name, facility type and capacity (if applicable), and latitude and longitude geographical coordinates (in both degrees-minutes-seconds and decimal degrees).\r\n\r\nThe data shown on this map and in table 1 were compiled from multiple sources, including (1) the most recently available data from the U.S. Geological Survey (USGS) Minerals Yearbook (Europe and Central Eurasia volume), (2) mineral statistics and information from the USGS Minerals Information Web site (http://minerals.usgs.gov/minerals/pubs/country/europe.html), and (3) data collected by the USGS minerals information country specialists from sources, such as statistical publications of individual countries, annual reports and press releases of operating companies, and trade journals. Data reflect the most recent published table of industry structure for each country at the time of this publication. Additional information is available from the country specialists listed in table 2","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101255","usgsCitation":"Baker, M.S., Elias, N., Guzman, E., and Soto-Viruet, Y., 2010, Mineral facilities of Northern and Central Eurasia: U.S. Geological Survey Open-File Report 2010-1255, Map; PDF Download of Table 1; XLS Download of Table 1; Downloads Directory, https://doi.org/10.3133/ofr20101255.","productDescription":"Map; PDF Download of Table 1; XLS Download of Table 1; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":126131,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1255.gif"},{"id":14323,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1255/","linkFileType":{"id":5,"text":"html"}}],"scale":"4000000","projection":"Transverse Polyconic Projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 7,23 ], [ 7,88 ], [ -163,88 ], [ -163,23 ], [ 7,23 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db635a64","contributors":{"authors":[{"text":"Baker, Michael S. 0000-0003-2507-3436 mbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-2507-3436","contributorId":50481,"corporation":false,"usgs":true,"family":"Baker","given":"Michael","email":"mbaker@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":false,"id":306897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elias, Nurudeen","contributorId":36898,"corporation":false,"usgs":true,"family":"Elias","given":"Nurudeen","email":"","affiliations":[],"preferred":false,"id":306896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guzman, Eric","contributorId":54556,"corporation":false,"usgs":true,"family":"Guzman","given":"Eric","email":"","affiliations":[],"preferred":false,"id":306898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Soto-Viruet, Yadira ysoto-viruet@usgs.gov","contributorId":500,"corporation":false,"usgs":true,"family":"Soto-Viruet","given":"Yadira","email":"ysoto-viruet@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":306895,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98905,"text":"ofr20101257 - 2010 - Mineral facilities of Europe","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ofr20101257","displayToPublicDate":"2010-12-01T00:00:00","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":"2010-1257","title":"Mineral facilities of Europe","docAbstract":"This map displays over 1,700 records of mineral facilities within the countries of Europe and western Eurasia. Each record represents one commodity and one facility type at a single geographic location. Facility types include mines, oil and gas fields, and plants, such as refineries, smelters, and mills. Common commodities of interest include aluminum, cement, coal, copper, gold, iron and steel, lead, nickel, petroleum, salt, silver, and zinc. Records include attributes, such as commodity, country, location, company name, facility type and capacity (if applicable), and latitude and longitude geographical coordinates (in both degrees-minutes-seconds and decimal degrees).\r\n\r\nThe data shown on this map and in table 1 were compiled from multiple sources, including (1) the most recently available data from the U.S. Geological Survey (USGS) Minerals Yearbook (Europe and Central Eurasia volume), (2) mineral statistics and information from the USGS Minerals Information Web site (http://minerals.usgs.gov/minerals/pubs/country/europe.html), and (3) data collected by the USGS minerals information country specialists from sources, such as statistical publications of individual countries, annual reports and press releases of operating companies, and trade journals. Data reflect the most recently published table of industry structure for each country at the time of this publication. Additional information is available from the country specialists listed in table 2.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101257","usgsCitation":"Almanzar, F., Baker, M.S., Elias, N., and Guzman, E., 2010, Mineral facilities of Europe: U.S. Geological Survey Open-File Report 2010-1257, Map: PDF Download of Table 1; XLS Download of Table 1; Downloads Directory, https://doi.org/10.3133/ofr20101257.","productDescription":"Map: PDF Download of Table 1; XLS Download of Table 1; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":126133,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1257.gif"},{"id":14324,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1257/","linkFileType":{"id":5,"text":"html"}}],"scale":"5000000","projection":"World Equidistant Conic Projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -40,32 ], [ -40,75 ], [ 60,75 ], [ 60,32 ], [ -40,32 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db635a5a","contributors":{"authors":[{"text":"Almanzar, Francisco","contributorId":71517,"corporation":false,"usgs":true,"family":"Almanzar","given":"Francisco","email":"","affiliations":[],"preferred":false,"id":306902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Michael S. 0000-0003-2507-3436 mbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-2507-3436","contributorId":50481,"corporation":false,"usgs":true,"family":"Baker","given":"Michael","email":"mbaker@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":false,"id":306900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elias, Nurudeen","contributorId":36898,"corporation":false,"usgs":true,"family":"Elias","given":"Nurudeen","email":"","affiliations":[],"preferred":false,"id":306899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guzman, Eric","contributorId":54556,"corporation":false,"usgs":true,"family":"Guzman","given":"Eric","email":"","affiliations":[],"preferred":false,"id":306901,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98901,"text":"sir20095269 - 2010 - Quality of stormwater runoff discharged from Massachusetts highways, 2005-07","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20095269","displayToPublicDate":"2010-12-01T00:00:00","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":"2009-5269","title":"Quality of stormwater runoff discharged from Massachusetts highways, 2005-07","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with U.S. Department of Transportation Federal Highway Administration and the Massachusetts Department of Transportation, conducted a field study from September 2005 through September 2007 to characterize the quality of highway runoff for a wide range of constituents. The highways studied had annual average daily traffic (AADT) volumes from about 3,000 to more than 190,000 vehicles per day. Highway-monitoring stations were installed at 12 locations in Massachusetts on 8 highways. The 12 monitoring stations were subdivided into 4 primary, 4 secondary, and 4 test stations. Each site contained a 100-percent impervious drainage area that included two or more catch basins sharing a common outflow pipe. Paired primary and secondary stations were located within a few miles of each other on a limited-access section of the same highway. Most of the data were collected at the primary and secondary stations, which were located on four principal highways (Route 119, Route 2, Interstate 495, and Interstate 95). The secondary stations were operated simultaneously with the primary stations for at least a year. Data from the four test stations (Route 8, Interstate 195, Interstate 190, and Interstate 93) were used to determine the transferability of the data collected from the principal highways to other highways characterized by different construction techniques, land use, and geography.\r\n\r\nAutomatic-monitoring techniques were used to collect composite samples of highway runoff and make continuous measurements of several physical characteristics. Flowweighted samples of highway runoff were collected automatically during approximately 140 rain and mixed rain, sleet, and snowstorms. These samples were analyzed for physical characteristics and concentrations of 6 dissolved major ions, total nutrients, 8 total-recoverable metals, suspended sediment, and 85 semivolatile organic compounds (SVOCs), which include priority polyaromatic hydrocarbons (PAHs), phthalate esters, and other anthropogenic or naturally occurring organic compounds. The distribution of particle size of suspended sediment also was determined for composite samples of highway runoff. Samples of highway runoff were collected year round and under various dry antecedent conditions throughout the 2-year sampling period. In addition to samples of highway runoff, supplemental samples also were collected of sediment in highway runoff, background soils, berm materials, maintenance sands, deicing compounds, and vegetation matter. These additional samples were collected near or on the highways to support data analysis.\r\n\r\nThere were few statistically significant differences between populations of constituent concentrations in samples from the primary and secondary stations on the same principal highways (Mann-Whitney test, 95-percent confidence level). Similarly, there were few statistically significant differences between populations of constituent concentrations for the four principal highways (data from the paired primary and secondary stations for each principal highway) and populations for test stations with similar AADT volumes. Exceptions to this include several total-recoverable metals for stations on Route 2 and Interstate 195 (highways with moderate AADT volumes), and for stations on Interstate 95 and Interstate 93 (highways with high AADT volumes). Supplemental data collected during this study indicate that many of these differences may be explained by the quantity, as well as the quality, of the sediment in samples of highway runoff.\r\n\r\nNonparametric statistical methods also were used to test for differences between populations of sample constituent concentrations among the four principal highways that differed mainly in traffic volume. These results indicate that there were few statistically significant differences (Mann-Whitney test, 95-percent confidence level) for populations of concentrations of most total-recoverable metals ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095269","collaboration":"Prepared in cooperation with the\r\nU.S. Department of Transportation Federal Highway Administration and the Massachusetts Department of Transportation","usgsCitation":"Smith, K.P., and Granato, G., 2010, Quality of stormwater runoff discharged from Massachusetts highways, 2005-07: U.S. Geological Survey Scientific Investigations Report 2009-5269, xiv, 198 p.; CD-ROM; Download of Compact Disc Menu, Download of Compact Disc Content, Download of Compact Disc Image, https://doi.org/10.3133/sir20095269.","productDescription":"xiv, 198 p.; CD-ROM; Download of Compact Disc Menu, Download of Compact Disc Content, Download of Compact Disc Image","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2005-09-01","temporalEnd":"2007-09-30","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":126132,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5269.jpg"},{"id":14319,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5269/","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","projection":"Massachussetts Stateplane Projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74,41 ], [ -74,43 ], [ -69.75,43 ], [ -69.75,41 ], [ -74,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d558","contributors":{"authors":[{"text":"Smith, Kirk P. 0000-0003-0269-474X kpsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":1516,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","email":"kpsmith@usgs.gov","middleInitial":"P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":1692,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory E.","email":"ggranato@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":306889,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98902,"text":"ofr20101254 - 2010 - Mineral facilities of Asia and the Pacific","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ofr20101254","displayToPublicDate":"2010-12-01T00:00:00","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":"2010-1254","title":"Mineral facilities of Asia and the Pacific","docAbstract":" This map displays over 1,500 records of mineral facilities throughout the continent of Asia and the countries of the Pacific Ocean. Each record represents one commodity and one facility type at a single geographic location. Facility types include mines, oil and gas fields, and plants, such as refineries, smelters, and mills. Common commodities of interest include aluminum, cement, coal, copper, gold, iron and steel, lead, nickel, petroleum, salt, silver, and zinc. Records include attributes, such as commodity, country, location, company name, facility type and capacity (if applicable), and latitude and longitude geographical coordinates (in both degrees-minutes-seconds and decimal degrees).\r\n\r\nThe data shown on this map and in table 1 were compiled from multiple sources, including (1) the 2008 U.S. Geological Survey Minerals Yearbook (Asia and the Pacific volume), (2) minerals statistics and information from the U.S. Geological Survey Minerals Information Web site (http://minerals.usgs.gov/minerals/), and (3) data collected by U.S. Geological Survey minerals information country specialists. Other sources include statistical publications of individual countries, annual reports and press releases of operating companies, and trade journals. Due to the sensitivity of some energy commodity data, the quality of these data should be evaluated on a country-by-country basis. Additional information is available from the country specialists listed in table 2. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101254","usgsCitation":"Baker, M.S., Elias, N., Guzman, E., and Soto-Viruet, Y., 2010, Mineral facilities of Asia and the Pacific: U.S. Geological Survey Open-File Report 2010-1254, Map; PDF Download of Table 1; XLS Download of Table 1; Downloads Directory, https://doi.org/10.3133/ofr20101254.","productDescription":"Map; PDF Download of Table 1; XLS Download of Table 1; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":126778,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1254.gif"},{"id":14321,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1254/","linkFileType":{"id":5,"text":"html"}}],"scale":"4000000","projection":"Plate Carree Projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60,-54 ], [ 60,53 ], [ 180,53 ], [ 180,-54 ], [ 60,-54 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db635a56","contributors":{"authors":[{"text":"Baker, Michael S. 0000-0003-2507-3436 mbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-2507-3436","contributorId":50481,"corporation":false,"usgs":true,"family":"Baker","given":"Michael","email":"mbaker@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":false,"id":306892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elias, Nurudeen","contributorId":36898,"corporation":false,"usgs":true,"family":"Elias","given":"Nurudeen","email":"","affiliations":[],"preferred":false,"id":306891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guzman, Eric","contributorId":54556,"corporation":false,"usgs":true,"family":"Guzman","given":"Eric","email":"","affiliations":[],"preferred":false,"id":306893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Soto-Viruet, Yadira ysoto-viruet@usgs.gov","contributorId":500,"corporation":false,"usgs":true,"family":"Soto-Viruet","given":"Yadira","email":"ysoto-viruet@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":306890,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70160818,"text":"70160818 - 2010 - A generalized watershed disturbance-invertebrate relation applicable in a range of environmental settings across the continental United States","interactions":[],"lastModifiedDate":"2015-12-31T11:33:00","indexId":"70160818","displayToPublicDate":"2010-12-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3669,"text":"Urban Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"A generalized watershed disturbance-invertebrate relation applicable in a range of environmental settings across the continental United States","docAbstract":"<p>It is widely recognized that urbanization can affect ecological conditions in aquatic systems; numerous studies have identified impervious surface cover as an indicator of urban intensity and as an index of development at the watershed, regional, and national scale. Watershed percent imperviousness, a commonly understood urban metric was used as the basis for a generalized watershed disturbance metric that, when applied in conjunction with weighted percent agriculture and percent grassland, predicted stream biotic conditions based on Ephemeroptera, Plecoptera, and Trichoptera (EPT) richness across a wide range of environmental settings. Data were collected in streams that encompassed a wide range of watershed area (4.4-1,714 km), precipitation (38-204 cm/yr), and elevation (31-2,024 m) conditions. Nevertheless the simple 3-landcover disturbance metric accounted for 58% of the variability in EPT richness based on the 261 nationwide sites. On the metropolitan area scale, relationship r ranged from 0.04 to 0.74. At disturbance values 15. Future work may incorporate watershed management practices within the disturbance metric, further increasing the management applicability of the relation. Such relations developed on a regional or metropolitan area scale are likely to be stronger than geographically generalized models; as found in these EPT richness relations. However, broad spatial models are able to provide much needed understanding in unmonitored areas and provide initial guidance for stream potential.</p>","language":"English","publisher":"Springer","doi":"10.1007/s11252-010-0131-x","usgsCitation":"Steuer, J.J., 2010, A generalized watershed disturbance-invertebrate relation applicable in a range of environmental settings across the continental United States: Urban Ecosystems, v. 13, no. 4, p. 415-424, https://doi.org/10.1007/s11252-010-0131-x.","productDescription":"10 p.","startPage":"415","endPage":"424","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-016463","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":313131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":313116,"type":{"id":15,"text":"Index 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,{"id":70179780,"text":"70179780 - 2010 - Progression of stream bank erosion dudring a large flood, Rio Puerco, New Mexico","interactions":[],"lastModifiedDate":"2017-04-12T10:55:34","indexId":"70179780","displayToPublicDate":"2010-12-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Progression of stream bank erosion dudring a large flood, Rio Puerco, New Mexico","docAbstract":"In August 2006, a large flood following saltcedar control efforts through a 12-km long segment of the Rio Puerco arroyo resulted in extensive lateral erosion of the streambanks. Almost all woody vegetation on the floodplain and channel banks had been killed by aerial spraying with herbicide in September 2003. During the flood, dead woody bank stems were either removed by the >4-m-deep flood flow or flattened against the bank, eliminating the source of drag that would have protected the banks from erosion. Owing to downstream variation in the shear stresses on the\nchannel banks and floodplain, lateral erosion of the channel banks was highly variable within the sprayed reach, but channel width increased by an average of 84%. Locations and magnitudes of channel bank erosion were documented from high-resolution imagery and a post-flood (January 2007) high-precision Global Positioning System survey.\n\nTopographic data collected during the January 2007 field survey combined with geomorphic mapping from imagery provided a means to infer the progression and relative timing of bank erosion during the flood. Observations and calculations indicate channel widening resulted from a combination of direct fluvial erosion of the lower banks and mass failures of the upper banks. Applications of physically based models of flow and sediment transport demonstrate the relative influence of local floodplain slope, arroyo topography, and orientation of the channel centerline relative to the down-valley axis on bank erosion. Differences in suspended sand concentrations computed using model-calculated “skin friction” shear stress quantify the erosion rate at a site where channel width doubled\nduring the flood.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 2nd Joint Federal Interagency Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2nd Joint Federal Interagency Conference","conferenceDate":"June 27 – July 1, 2010","conferenceLocation":"Las Vegas, NV","language":"English","usgsCitation":"Griffin, E.R., Smith, J.D., Friedman, J.M., and Vincent, K.R., 2010, Progression of stream bank erosion dudring a large flood, Rio Puerco, New Mexico, <i>in</i> Proceedings of the 2nd Joint Federal Interagency Conference, Las Vegas, NV, June 27 – July 1, 2010, 12 p.","productDescription":"12 p.","ipdsId":"IP-019850","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":339609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":333274,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/Contents/11D_Griffin_02_26_10.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ef3dace4b0eed1ab8e3be8","contributors":{"authors":[{"text":"Griffin, Eleanor R. 0000-0001-6724-9853 egriffin@usgs.gov","orcid":"https://orcid.org/0000-0001-6724-9853","contributorId":1775,"corporation":false,"usgs":true,"family":"Griffin","given":"Eleanor","email":"egriffin@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":658669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, J. Dungan","contributorId":44961,"corporation":false,"usgs":true,"family":"Smith","given":"J.","email":"","middleInitial":"Dungan","affiliations":[],"preferred":false,"id":690748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":658670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vincent, Kirk R.","contributorId":75073,"corporation":false,"usgs":true,"family":"Vincent","given":"Kirk","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":690749,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98900,"text":"sir20105233 - 2010 - A method for assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios","interactions":[{"subject":{"id":98503,"text":"ofr20101144 - 2010 - Public Review Draft: A Method for Assessing Carbon Stocks, Carbon Sequestration, and Greenhouse-Gas Fluxes in Ecosystems of the United States Under Present Conditions and Future Scenarios","indexId":"ofr20101144","publicationYear":"2010","noYear":false,"title":"Public Review Draft: A Method for Assessing Carbon Stocks, Carbon Sequestration, and Greenhouse-Gas Fluxes in Ecosystems of the United States Under Present Conditions and Future Scenarios"},"predicate":"SUPERSEDED_BY","object":{"id":98900,"text":"sir20105233 - 2010 - A method for assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios","indexId":"sir20105233","publicationYear":"2010","noYear":false,"title":"A method for assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios"},"id":1}],"lastModifiedDate":"2018-01-30T21:03:12","indexId":"sir20105233","displayToPublicDate":"2010-11-30T00:00:00","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":"2010-5233","title":"A method for assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios","docAbstract":"<p>he Energy Independence and Security Act of 2007 (EISA), Section 712, mandates the U.S. Department of the Interior to develop a methodology and conduct an assessment of the Nation’s ecosystems, focusing on carbon stocks, carbon sequestration, and emissions of three greenhouse gases (GHGs): carbon dioxide, methane, and nitrous oxide. The major requirements include (1) an assessment of all ecosystems (terrestrial systems, such as forests, croplands, wetlands, grasslands/shrublands; and aquatic ecosystems, such as rivers, lakes, and estuaries); (2) an estimate of the annual potential capacities of ecosystems to increase carbon sequestration and reduce net GHG emissions in the context of mitigation strategies (including management and restoration activities); and (3) an evaluation of the effects of controlling processes, such as climate change, land-use and land-cover change, and disturbances such as wildfires.</p><p>The concepts of ecosystems, carbon pools, and GHG fluxes follow conventional definitions in use by major national and international assessment or inventory efforts. In order to estimate current ecosystem carbon stocks and GHG fluxes and to understand the potential capacity and effects of mitigation strategies, the method will use two time periods for the assessment: 2001 through 2010, which establishes a current ecosystem carbon and GHG baseline and will be used to validate the models; and 2011 through 2050, which will be used to assess potential capacities based on a set of scenarios. The scenario framework will be constructed using storylines of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios (SRES), along with both reference and enhanced land-use and land-cover (LULC) and land-management parameters. Additional LULC and land-management mitigation scenarios will be constructed for each storyline to increase carbon sequestration and reduce GHG fluxes in ecosystems. Input from regional experts and stakeholders will be solicited to construct these scenarios.</p><p>The methods for mapping the current LULC and ecosystem disturbances will require the extensive use of both remote-sensing data and field-survey data (for example, forest inventories) to capture and characterize landscape-changing events. For potential LULC changes and ecosystem disturbances, key drivers such as socioeconomic and climate changes will be used in addition to the biophysical data. The result of these analyses will be a series of maps for each future year for each scenario. These annual maps will form the basis for estimating carbon storage and GHG emissions. For terrestrial ecosystems, carbon storage, carbon-sequestration capacities, and GHG emissions under the present conditions and future scenarios will be assessed using the LULC-change and ecosystem-disturbance estimates in map format with a spatially explicit biogeochemical ensemble modeling system that incorporates properties of management activities (such as tillage or harvesting) and properties of individual ecosystems (such as energy exchange, vegetation characteristics, hydrological cycling, and soil attributes). For aquatic ecosystems, carbon burial in sediments and fluxes of GHG are functions of the present and future potential stream flow and sediment transport and will be assessed using empirical hydrological modeling methods. Validation and uncertainty analysis methods described in the methodology will follow established guidelines to assess the quality of the assessment results.</p><p>The U.S. Environmental Protection Agency’s Level II ecoregions map will be the practical instrument for developing and delivering assessment results. Consequently, the ecoregion (there are 22 modified ecoregions) will be the reporting unit of the assessment because the scenarios, assessment results, validation, and uncertainty analysis will be produced at that scale. The implementation of these methods will require collaborations among various Federal agencies, State agencies, nongovernmental organizations, and the science community. Using the method described in this document, the assessment can be completed in approximately 3 to 4 years. The primary deliverables will be assessment reports containing tables, charts, and maps that will present the estimated GHG parameters annually for 2001 through 2050 by ecosystem, pool, and scenario. The results will permit the evaluation of a range of policies, mitigation options, and research topics, such as the demographic, LULC-change, or climate-change effects on carbon stocks, carbon sequestration, and GHG fluxes in ecosystems.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105233","usgsCitation":"Bergamaschi, B., Bernknopf, R., Clow, D., Dye, D., Faulkner, S., Forney, W., Gleason, R., Hawbaker, T., Liu, J., Liu, S., Prisley, S., Reed, B., Reeves, M., Rollins, M., Sleeter, B., Sohl, T., Stackpoole, S., Stehman, S., Striegl, R.G., Wein, A., and Zhu, Z., 2010, A method for assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios: U.S. Geological Survey Scientific Investigations Report 2010-5233, Reprot: xviii, 85 p. ; Appendixes: A-I, https://doi.org/10.3133/sir20105233.","productDescription":"Reprot: xviii, 85 p. ; Appendixes: A-I","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2001-01-01","temporalEnd":"2050-12-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":14318,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5233/","linkFileType":{"id":5,"text":"html"}},{"id":126775,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5233.jpg"},{"id":333243,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5233/pdf/sir2010-5233.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a48e4b07f02db623663","contributors":{"editors":[{"text":"Zhu, Zhi-Liang zzhu@usgs.gov","contributorId":3636,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhi-Liang","email":"zzhu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":505757,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":1448,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","email":"bbergama@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":306869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernknopf, Richard","contributorId":51701,"corporation":false,"usgs":true,"family":"Bernknopf","given":"Richard","affiliations":[],"preferred":false,"id":306877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clow, David","contributorId":21920,"corporation":false,"usgs":true,"family":"Clow","given":"David","affiliations":[],"preferred":false,"id":306872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dye, Dennis","contributorId":54159,"corporation":false,"usgs":true,"family":"Dye","given":"Dennis","affiliations":[],"preferred":false,"id":306878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faulkner, Stephen 0000-0001-5295-1383","orcid":"https://orcid.org/0000-0001-5295-1383","contributorId":65439,"corporation":false,"usgs":true,"family":"Faulkner","given":"Stephen","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":306880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Forney, William","contributorId":23509,"corporation":false,"usgs":true,"family":"Forney","given":"William","affiliations":[],"preferred":false,"id":306873,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gleason, Robert","contributorId":58991,"corporation":false,"usgs":true,"family":"Gleason","given":"Robert","affiliations":[],"preferred":false,"id":306879,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hawbaker, Todd","contributorId":91069,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","affiliations":[],"preferred":false,"id":306885,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":306870,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":306868,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Prisley, Stephen","contributorId":26272,"corporation":false,"usgs":true,"family":"Prisley","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":306874,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Reed, Bradley","contributorId":12820,"corporation":false,"usgs":true,"family":"Reed","given":"Bradley","affiliations":[],"preferred":false,"id":306871,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Reeves, Matthew","contributorId":95437,"corporation":false,"usgs":true,"family":"Reeves","given":"Matthew","affiliations":[],"preferred":false,"id":306886,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rollins, Matthew","contributorId":72347,"corporation":false,"usgs":true,"family":"Rollins","given":"Matthew","affiliations":[],"preferred":false,"id":306883,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sleeter, Benjamin","contributorId":48927,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","affiliations":[],"preferred":false,"id":306876,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sohl, Terry 0000-0002-9771-4231","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":81861,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":306884,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Stackpoole, Sarah","contributorId":67832,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","affiliations":[],"preferred":false,"id":306881,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Stehman, Stephen","contributorId":39747,"corporation":false,"usgs":true,"family":"Stehman","given":"Stephen","affiliations":[],"preferred":false,"id":306875,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":306887,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Wein, Anne 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":589,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":306867,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Zhu, Zhi-Liang","contributorId":70726,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhi-Liang","affiliations":[],"preferred":false,"id":306882,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":9000487,"text":"sir20105202 - 2010 - Simulation of streamflow in the McTier Creek watershed, South Carolina","interactions":[],"lastModifiedDate":"2017-01-17T10:41:08","indexId":"sir20105202","displayToPublicDate":"2010-11-29T00:00:00","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":"2010-5202","title":"Simulation of streamflow in the McTier Creek watershed, South Carolina","docAbstract":"The McTier Creek watershed is located in the Sand Hills ecoregion of South Carolina and is a small catchment within the Edisto River Basin. Two watershed hydrology models were applied to the McTier Creek watershed as part of a larger scientific investigation to expand the understanding of relations among hydrologic, geochemical, and ecological processes that affect fish-tissue mercury concentrations within the Edisto River Basin. The two models are the topography-based hydrological model (TOPMODEL) and the grid-based mercury model (GBMM). TOPMODEL uses the variable-source area concept for simulating streamflow, and GBMM uses a spatially explicit modified curve-number approach for simulating streamflow. The hydrologic output from TOPMODEL can be used explicitly to simulate the transport of mercury in separate applications, whereas the hydrology output from GBMM is used implicitly in the simulation of mercury fate and transport in GBMM. The modeling efforts were a collaboration between the U.S. Geological Survey and the U.S. Environmental Protection Agency, National Exposure Research Laboratory.\r\n\r\nCalibrations of TOPMODEL and GBMM were done independently while using the same meteorological data and the same period of record of observed data. Two U.S. Geological Survey streamflow-gaging stations were available for comparison of observed daily mean flow with simulated daily mean flow-station 02172300, McTier Creek near Monetta, South Carolina, and station 02172305, McTier Creek near New Holland, South Carolina. The period of record at the Monetta gage covers a broad range of hydrologic conditions, including a drought and a significant wet period. Calibrating the models under these extreme conditions along with the normal flow conditions included in the record enhances the robustness of the two models.\r\n\r\nSeveral quantitative assessments of the goodness of fit between model simulations and the observed daily mean flows were done. These included the Nash-Sutcliffe coefficient of model-fit efficiency index, Pearson's correlation coefficient, the root mean square error, the bias, and the mean absolute error. In addition, a number of graphical tools were used to assess how well the models captured the characteristics of the observed data at the Monetta and New Holland streamflow-gaging stations. The graphical tools included temporal plots of simulated and observed daily mean flows, flow-duration curves, single-mass curves, and various residual plots. The results indicated that TOPMODEL and GBMM generally produced simulations that reasonably capture the quantity, variability, and timing of the observed streamflow. For the periods modeled, the total volume of simulated daily mean flows as compared to the total volume of the observed daily mean flow from TOPMODEL was within 1 to 5 percent, and the total volume from GBMM was within 1 to 10 percent. A noticeable characteristic of the simulated hydrographs from both models is the complexity of balancing groundwater recession and flow at the streamgage when flows peak and recede rapidly. However, GBMM results indicate that groundwater recession, which affects the receding limb of the hydrograph, was more difficult to estimate with the spatially explicit curve number approach. Although the purpose of this report is not to directly compare both models, given the characteristics of the McTier Creek watershed and the fact that GBMM uses the spatially explicit curve number approach as compared to the variable-source-area concept in TOPMODEL, GBMM was able to capture the flow characteristics reasonably well. ","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105202","collaboration":"National Water-Quality Assessment Program\r\nPrepared in cooperation with the U.S. Environmental Protection Agency,\r\nNational Exposure Research Laboratory","usgsCitation":"Feaster, T., Golden, H., Odom, K.R., Lowery, M.A., Conrads, P., and Bradley, P.M., 2010, Simulation of streamflow in the McTier Creek watershed, South Carolina: U.S. Geological Survey Scientific Investigations Report 2010-5202, xiv, 55 p.; Appendices, https://doi.org/10.3133/sir20105202.","productDescription":"xiv, 55 p.; Appendices","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":203302,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14329,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5202/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Carolina","otherGeospatial":"McTier Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.63333333333334,33.7 ], [ -81.63333333333334,33.85 ], [ -81.5,33.85 ], [ -81.5,33.7 ], [ -81.63333333333334,33.7 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4998e4b07f02db5b9b93","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":344110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golden, Heather E.","contributorId":94914,"corporation":false,"usgs":true,"family":"Golden","given":"Heather E.","affiliations":[],"preferred":false,"id":344113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Odom, Kenneth R.","contributorId":72087,"corporation":false,"usgs":true,"family":"Odom","given":"Kenneth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":344111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowery, Mark A.","contributorId":77872,"corporation":false,"usgs":true,"family":"Lowery","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":344112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":344109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344108,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98896,"text":"pp1773 - 2010 - Groundwater availability in the Atlantic Coastal Plain of North and South Carolina","interactions":[],"lastModifiedDate":"2017-09-22T09:16:53","indexId":"pp1773","displayToPublicDate":"2010-11-25T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1773","title":"Groundwater availability in the Atlantic Coastal Plain of North and South Carolina","docAbstract":"The Atlantic Coastal Plain aquifers and confining units of North and South Carolina are composed of crystalline carbonate rocks, sand, clay, silt, and gravel and contain large volumes of high-quality groundwater. The aquifers have a long history of use dating back to the earliest days of European settlement in the late 1600s. Although extensive areas of some of the aquifers have or currently (2009) are areas of groundwater level declines from large-scale, concentrated pumping centers, large areas of the Atlantic Coastal Plain contain substantial quantities of high-quality groundwater that currently (2009) are unused.\r\n\r\nGroundwater use from the Atlantic Coastal Plain aquifers in North Carolina and South Carolina has increased during the past 60 years as the population has increased along with demands for municipal, industrial, and agricultural water needs. While North Carolina and South Carolina work to increase development of water supplies in response to the rapid growth in these coastal populations, both States recognize that they are facing a number of unanswered questions regarding availability of groundwater supplies and the best methods to manage these important supplies.\r\n\r\nAn in-depth assessment of groundwater availability of the Atlantic Coastal Plain aquifers of North and South Carolina has been completed by the U.S. Geological Survey Groundwater Resources Program. This assessment includes (1) a determination of the present status of the Atlantic Coastal Plain groundwater resources; (2) an explanation for how these resources have changed over time; and (3) development of tools to assess the system's response to stresses from potential future climate variability. Results from numerous previous investigations of the Atlantic Coastal Plain by Federal and State agencies have been incorporated into this effort.\r\n\r\nThe primary products of this effort are (1) comprehensive hydrologic datasets such as groundwater levels, groundwater use, and aquifer properties; (2) a revised hydrogeologic framework; (3) simulated water budgets of the overall study area along with several subareas; and (4) construction and calibration of a numerical modeling tool that is used to forecast the potential effects of climate change on groundwater levels.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/pp1773","collaboration":"Groundwater Resources Program","usgsCitation":"Campbell, B.G., and Coes, A.L., 2010, Groundwater availability in the Atlantic Coastal Plain of North and South Carolina: U.S. Geological Survey Professional Paper 1773, xxvi, 240 p.; 7 Plates; Plate 1: Section A-A 30 inches x 30 inches; Plate 2: Section B-B 37.61 inches x 33.89 inches; Plate 3: Section D-D, E-E 32 inches x 35.46 inches; Plate 4: Section F-F 24.32 inches x 25.14 inches; Plate 5: Section G-G 39.13 inches x 32.56 inches; Plate 6: Section H-H 42 inches x 37.46 inches; Plate 7: Section I-I, A-C 44.66 inches x 40.21 inches; Compressed PDF File containing Plates, https://doi.org/10.3133/pp1773.","productDescription":"xxvi, 240 p.; 7 Plates; Plate 1: Section A-A 30 inches x 30 inches; Plate 2: Section B-B 37.61 inches x 33.89 inches; Plate 3: Section D-D, E-E 32 inches x 35.46 inches; Plate 4: Section F-F 24.32 inches x 25.14 inches; Plate 5: Section G-G 39.13 inches x 32.56 inches; Plate 6: Section H-H 42 inches x 37.46 inches; Plate 7: Section I-I, A-C 44.66 inches x 40.21 inches; Compressed PDF File containing Plates","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":126769,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1773.jpg"},{"id":346013,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7RJ4GJF","text":"USGS data release","description":"USGS data release”","linkHelpText":"MODFLOW2000 and MODFLOW-ASP models used to simulate the groundwater flow in the Atlantic Coastal Plain, North and South Carolina and parts of Georgia and Virginia, Predevelopment to 2004"},{"id":14314,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1773/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina, South Carolina","otherGeospatial":"Atlantic Coastal Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84,30 ], [ -84,38 ], [ -75,38 ], [ -75,30 ], [ -84,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a73e4b07f02db643a1c","contributors":{"authors":[{"text":"Campbell, Bruce G. 0000-0003-4800-6674 bcampbel@usgs.gov","orcid":"https://orcid.org/0000-0003-4800-6674","contributorId":995,"corporation":false,"usgs":true,"family":"Campbell","given":"Bruce","email":"bcampbel@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coes, Alissa L. 0000-0001-6682-5417 alcoes@usgs.gov","orcid":"https://orcid.org/0000-0001-6682-5417","contributorId":4231,"corporation":false,"usgs":true,"family":"Coes","given":"Alissa","email":"alcoes@usgs.gov","middleInitial":"L.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306854,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98897,"text":"ofr20101284 - 2010 - Spatial and stage-structured population model of the American crocodile for comparison of comprehensive Everglades Restoration Plan (CERP) alternatives","interactions":[],"lastModifiedDate":"2012-02-02T00:07:57","indexId":"ofr20101284","displayToPublicDate":"2010-11-25T00:00:00","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":"2010-1284","title":"Spatial and stage-structured population model of the American crocodile for comparison of comprehensive Everglades Restoration Plan (CERP) alternatives","docAbstract":"As part of the U.S. Geological Survey Priority Ecosystems Science (PES) initiative to provide the ecological science required during Everglades restoration, we have integrated current regional hydrologic models with American crocodile (Crocodylus acutus) research and monitoring data to create a model that assesses the potential impact of Comprehensive Everglades Restoration Plan (CERP) efforts on the American crocodile. A list of indicators was created by the Restoration Coordination and Verification (RECOVER) component of CERP to help determine the success of interim restoration goals. The American crocodile was established as an indicator of the ecological condition of mangrove estuaries due to its reliance upon estuarine environments characterized by low salinity and adequate freshwater inflow. To gain a better understanding of the potential impact of CERP restoration efforts on the American crocodile, a spatially explicit crocodile population model has been created that has the ability to simulate the response of crocodiles to various management strategies for the South Florida ecosystem. The crocodile model uses output from the Tides and Inflows in the Mangroves of the Everglades (TIME) model, an application of the Flow and Transport in a Linked Overland/Aquifer Density Dependent System (FTLOADDS) simulator. TIME has the capability to link to the South Florida Water Management Model (SFWMM), which is the primary regional tool used to assess CERP restoration scenarios. A crocodile habitat suitability index and spatial parameter maps that reflect salinity, water depth, habitat, and nesting locations are used as driving functions to construct crocodile finite rate of increase maps under different management scenarios. Local stage-structured models are integrated with a spatial landscape grid to display crocodile movement behavior in response to changing environmental conditions. Restoration efforts are expected to affect salinity levels throughout the habitat of the American crocodile. This modeling effort examines how CERP restoration alternatives will affect growth and survival rates of hatchling and juvenile crocodiles, hatchling dispersal to suitable nursery habitat, and relative abundance and distribution in response to changing salinity and water depth for all stage classes of crocodiles. The response of the American crocodile to restoration efforts will provide a quantifiable measure of restoration success. By applying the crocodile model to proposed restoration alternatives and predicting population responses, we can choose alternatives that approximate historical conditions, enhance habitat for multiple species, and identify future research needs.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101284","collaboration":"Prepared as part of the U.S. Geological Survey Priority Ecosystems Science Initiative ","usgsCitation":"Green, T.W., Slone, D., Swain, E.D., Cherkiss, M.S., Lohmann, M., Mazzotti, F., and Rice, K.G., 2010, Spatial and stage-structured population model of the American crocodile for comparison of comprehensive Everglades Restoration Plan (CERP) alternatives: U.S. Geological Survey Open-File Report 2010-1284, vi, 38 p.; Appendices, https://doi.org/10.3133/ofr20101284.","productDescription":"vi, 38 p.; Appendices","additionalOnlineFiles":"N","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":126067,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1284.jpg"},{"id":14315,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1284/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e6eee","contributors":{"authors":[{"text":"Green, Timothy W.","contributorId":58672,"corporation":false,"usgs":true,"family":"Green","given":"Timothy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":306860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":1749,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel H.","email":"dslone@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":306857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherkiss, Michael S. 0000-0002-7802-6791 mcherkiss@usgs.gov","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":4571,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","email":"mcherkiss@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":306859,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lohmann, Melinda 0000-0003-1472-159X mlohmann@usgs.gov","orcid":"https://orcid.org/0000-0003-1472-159X","contributorId":2971,"corporation":false,"usgs":true,"family":"Lohmann","given":"Melinda","email":"mlohmann@usgs.gov","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":306858,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":306861,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":306855,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":98895,"text":"ofr20101287 - 2010 - Analysis of California Condor (Gymnogyps californianus) use of six management units using location data from global positioning system transmitters, southern California, 2004-09-Initial report","interactions":[],"lastModifiedDate":"2012-02-10T00:11:52","indexId":"ofr20101287","displayToPublicDate":"2010-11-24T00:00:00","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":"2010-1287","title":"Analysis of California Condor (Gymnogyps californianus) use of six management units using location data from global positioning system transmitters, southern California, 2004-09-Initial report","docAbstract":"This report provides an analysis of California Condor (Gymnogyps californianus) space use of six management units in southern California (Hopper Mountain and Bitter Creek National Wildlife Refuges, Wildlands Conservancy-Wind Wolves Preserve, Tejon Mountain Village Specific Plan, California Condor Study Area, and the Tejon Ranch excluding Tejon Mountain Village Specific Plan and California Condor Study Area). Space use was analyzed to address urgent management needs using location data from Global Positioning System transmitters. The U.S. Fish and Wildlife Service provided the U.S. Geological Survey with location data (2004-09) for California Condors from Global Positioning System transmitters and Geographic Information System data for the six management units in southern California.\r\n\r\nWe calculated relative concentration of use estimates for each management unit for each California Condor (n = 21) on an annual basis (n = 39 annual home ranges) and evaluated resource selection for the population each year using the individual as our sampling unit. The most striking result from our analysis was the recolonization of the Tejon Mountain Village Specific Plan, California Condor Study Area, and Tejon Ranch management units during 2008. During 2004-07, the home range estimate for two (25 percent) California Condors overlapped the Tejon Mountain Village Specific Plan, California Condor Study Area, and Tejon Ranch management units (n = 8), and use within the annual home range generally was bimodal and was concentrated on the Bitter Creek and Hopper Mountain National Wildlife Refuges. However, 10 (77 percent) California Condor home ranges overlapped the Tejon Mountain Village Specific Plan, California Condor Study Area, and Tejon Ranch management units during 2008 (n = 13), and by 2009, the home range of every condor carrying a Global Positioning System transmitter (n = 14) overlapped these management units. Space use was multimodal within the home range during 2008-09 and was concentrated on Hopper Mountain Refuge in the south, Bittercreek Refuge and the Wind Wolves Preserve in the northwest, and the Tejon Mountain Village Specific Plan, California Condor Study Area, and Tejon Ranch management units in the northeast. Recolonization of the Tejon Mountain Village Specific Plan, California Condor Study Area, and Tejon Ranch management units reestablished traditional condor movement and foraging patterns in southern California and provides the travel corridor (approximately 20 kilometers wide) for recolonization of the northeastern part of the species historical range.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101287","usgsCitation":"Johnson, M., Kern, J., and Haig, S.M., 2010, Analysis of California Condor (Gymnogyps californianus) use of six management units using location data from global positioning system transmitters, southern California, 2004-09-Initial report: U.S. Geological Survey Open-File Report 2010-1287, iv, 24 p.; Appendix, https://doi.org/10.3133/ofr20101287.","productDescription":"iv, 24 p.; Appendix","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":126128,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1287.jpg"},{"id":14313,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1287/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122,34 ], [ -122,37 ], [ -117.66666666666667,37 ], [ -117.66666666666667,34 ], [ -122,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad0e4b07f02db680cc7","contributors":{"authors":[{"text":"Johnson, Matthew mjjohnson@usgs.gov","contributorId":29536,"corporation":false,"usgs":true,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","affiliations":[],"preferred":false,"id":306851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kern, Jeffrey","contributorId":83632,"corporation":false,"usgs":true,"family":"Kern","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":306852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":306850,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}