{"pageNumber":"682","pageRowStart":"17025","pageSize":"25","recordCount":46883,"records":[{"id":70158622,"text":"70158622 - 2011 - Growth characteristics and otolith analysis on age-0 American shad","interactions":[],"lastModifiedDate":"2022-11-01T17:26:20.553096","indexId":"70158622","displayToPublicDate":"2011-05-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Growth characteristics and otolith analysis on age-0 American shad","docAbstract":"<p><span>Otolith microstructure analysis provides useful information on the growth history of fish (Campana and Jones 1992, Bang and Gronkjaer 2005). Microstructure analysis can be used to construct the size-at-age growth trajectory of fish, determine daily growth rates, and estimate hatch date and other ecologically important life history events (Campana and Jones 1992, Tonkin et al. 2008). This kind of information can be incorporated into bioenergetics modeling, providing necessary data for estimating prey consumption, and guiding the development of empirically-based modeling scenarios for hypothesis testing. For example, age-0 American shad co-occur with emigrating juvenile fall Chinook salmon originating from Hanford Reach and the Snake River in the lower Columbia River reservoirs during the summer and early fall. The diet of age-0 American shad appears to overlap with that of juvenile fall Chinook salmon (Chapter 1, this reoprt), but juvenile fall Chinook salmon are also known to feed on age-0 American shad in the reservoirs (USGS unpublished data). Abundant, energy-dense age-0 American shad may provide juvenile fall Chinook salmon opportunities for rapid growth during the time period when large number of age-0 American shad are available. Otolith analysis of hatch dates and the growth curve of age-0 American shad could be used to identify when eggs, larvae, and juveniles of specific size classes are temporally available as food for fall Chinook salmon in the lower Columbia River reservoirs. This kind of temporally and spatially explicit life history information is important to include in bioenergetics modeling scenarios. Quantitive estimates of prey consumption could be used with spatially-explicit estimates of prey abundance to construct a quantitative assessment of the age-0 American shad impact on a reservoir food web.</span></p><p>Analysis of the age-0 American shad growth trajectory or individual growth records may show evidence of differential growth rates over time that may be linked to environmental conditions such as water temperature (Leach and Houde 1999, Meekan et al. 2003), size-selective mortality (Folkvord et al. 1997), developmental changes in metabolic rate (Bang and Gronkjaer 2005, Bochdanksy et al. 2005), feeding ability (Schmitt and Holbrook 1984, Luecke 1986, Johnson and Dropkin 1995, Johnson and Dropkin 1996), and intra- and inter-specific competition (Crecco and Savoy 1987, Marchand and Boisclair 1998, Gadomski and Wagner 2009). For example, environmental conditions associated with John Day reservoir may eliminate or reduce the availability of many aquatic and terrestrial insect prey types (Rondorf et al. 1990). Many juvenile fishes, including age-0 American shad and juvenile fall Chinook salmon may be foraging on limited insect prey in John Day Reservoir (Gadomski and Wagner 2009). Because larger insect prey has higher energy densities than most zooplankton prey, and insect availability may be limited in John Day reservoir, the growth of American shad may be constrained once fish grow to a size where they could exploit larger, more energy-dense insect prey (Mayer and Wahl 1997).</p><p>Similarly, as age-0 American shad grow, they are able to forage on larger zooplankton with higher energy densities than smaller individuals of the same species, or other smaller-bodied zooplankton species (Schael et al. 1991, Mayer and Wahl 1997). Intra- and inter-specific demand for larger-bodied and higher energy zooplankton prey may reduce the availability of these prey items (Tabor et al. 1996). Constrained growth increments on the otolith microstructure of juvenile American shad or other planktivorous fish could help identify important interactions between fishes that may be linked to the year class strength of age-0 American shad and prey partitioning in John Day reservoir.</p><p>The objective of this study was to determine time of hatch and size-at-age of age-0 American shad in lower Columbia River reservoirs for use with the American shad and fall Chinook salmon bioenergetic models. Size-at-age data on age-0 American shad can be used to generate quantitative estimates of prey consumption with the American shad bioenergetics model. Otolith microstructure analysis was used to provide reference points on the temporal availability of early life stages and sizes of American shad in the reservoir (Limburg 1996a,b, Limburg et al. 1999). Additional analyses on the age-0 American shad growth trajectory in John Day reservoir may reveal differential growth patterns during the early life history of these fish that are linked to developmental differences between individual fish, transient environmental conditions, or food web constraints (Limburg 1996a).</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Growth characteristics and otolith analysis on age-0 American shad","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Western Fisheries Research Center","publisherLocation":"Portland, OR","usgsCitation":"Sauter, S.T., and Wetzel, L.A., 2011, Growth characteristics and otolith analysis on age-0 American shad, chap. <i>of</i> Growth characteristics and otolith analysis on age-0 American shad, 15 p.","productDescription":"15 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ssauter@usgs.gov","contributorId":2921,"corporation":false,"usgs":true,"family":"Sauter","given":"Sally","email":"ssauter@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":576345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wetzel, Lisa A. 0000-0003-3178-9940 lwetzel@usgs.gov","orcid":"https://orcid.org/0000-0003-3178-9940","contributorId":3016,"corporation":false,"usgs":true,"family":"Wetzel","given":"Lisa","email":"lwetzel@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":576346,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70156592,"text":"70156592 - 2011 - Development of a bioenergetics model for age-0 American shad","interactions":[],"lastModifiedDate":"2022-11-08T19:07:48.559307","indexId":"70156592","displayToPublicDate":"2011-05-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Development of a bioenergetics model for age-0 American shad","docAbstract":"<p>Bioenergetics modeling can be used as a tool to investigate the impact of non-native age-0 American shad (<i>Alosa sapidissima</i>) on reservoir and estuary food webs. The model can increase our understanding of how these fish influence lower trophic levels as well as predatory fish populations that feed on juvenile salmonids. Bioenergetics modeling can be used to investigate ecological processes, evaluate alternative research hypotheses, provide decision support, and quantitative prediction. Bioenergetics modeling has proven to be extremely useful in fisheries research (Ney et al. 1993,Chips and Wahl 2008, Petersen et al. 2008). If growth and diet parameters are known, the bioenergetics model can be used to quantify the relative amount of zooplankton or insects consumed by age-0 American shad. When linked with spatial and temporal information on fish abundance, model output can guide inferential hypothesis development to demonstrate where the greatest impacts of age-0 American shad might occur.</p><p>Bioenergetics modeling is particularly useful when research questions involve multiple species and trophic levels (e.g. plankton communities). Bioenergetics models are mass-balance equations where the energy acquired from food is partitioned between maintenance costs, waste products, and growth (Winberg 1956). Specifically, the Wisconsin bioenergetics model (Hanson et al. 1997) is widely used in fisheries science. Researchers have extensively tested, reviewed, and improved on this modeling approach for over 30 years (Petersen et al. 2008). Development of a bioenergetics model for any species requires three key components: 1) determine physiological parameters for the model through laboratory experiments or incorporate data from a closely related species, 2) corroboration of the model with growth and consumption estimates from independent research, and 3) error analysis of model parameters.</p><p>Wisconsin bioenergetics models have been parameterized for many of the salmonids and predatory fishes encountered in the lower Columbia River (Petersen and Ward 1999). The Wisconsin bioenergetics model has not been developed for American shad, however Limburg (1996) parameterized a simplified bioenergetics growth model for this species. A common application for the Wisconsin bioenergetics model is to estimate the consumption or growth of a fish population under different temperature and feeding scenarios (Ney 1993). One advantage of the bioenergetics approach is that consumption can be estimated without direct field measurements of predation rate (prey·predator<sup>-1</sup>· day<sup>-1</sup>; Petersen and Ward 1999). Field estimates of fish consumption are time consuming and costly to determine, and estimates may show wide variance due to environmental and sampling variability. However, the consumption parameters used in a newly developed bioenergetics model must be verified with field and laboratory estimates of consumption (Ney 1993).</p><p>The objective of this research was to parameterize a Wisconsin bioenergetics model for age-0 American shad using published physiological data on American shad and closely related alosine species. The American shad bioenergetics model will be used as a tool to explore various hypotheses about how age-0 American shad directly and indirectly affect Columbia River salmon through ecological interactions in lower Columbia River food webs. One over-arching focus of the larger research project was to identify potential interactions between age-0 American shad and juvenile salmonids, addressing potential outcomes through bioenergetics modeling scenarios. This report contains two bioenergetics modeling applications to demonstrate how these models can be used to address management questions and direct research effort. The first modeling application uses the American shad bioenergetics model described in this report to explore prey consumption by age-0 American shad (Chapter 1, this report). Dietary data on age-0 American shad and previously published reports on the diet of juvenile fall Chinook salmon (Rondorf et al. 1990, USGS unpublished data) suggested there might be considerable dietary overlap between these species in the lower Columbia River. The U.S. Geological Survey (USGS) was interested in using the American shad bioenergetics model to explore hypotheses concerning dietary overlap between age-0 American shad and emigrating fall Chinook salmon. The second modeling application uses the fall Chinook salmon bioenergetics model (Koehler et al. 2006) to explore the growth potential of juvenile fall Chinook salmon predating on age-0 American shad in the lower Columbia River. This modeling was based dietary information on a small number of age-0 fall Chinook salmon (n = 13) collected in John Day Reservoir in 1994 - 1996 (unpublished USGS data). Analysis of this dietary data found that these salmonids were feeding primarily on age-0 American shad (&gt; 75% by weight).</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Impact of American shad in the Columbia River","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Western Fisheries Research Center","publisherLocation":"Portland, OR","usgsCitation":"Sauter, S.T., 2011, Development of a bioenergetics model for age-0 American shad, chap. <i>of</i> Impact of American shad in the Columbia River, 35 p.","productDescription":"35 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":307353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Lower Columbia River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  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,{"id":70156399,"text":"70156399 - 2011 - A numerical model investigation of the formation and persistence of an erosion hotspot","interactions":[],"lastModifiedDate":"2022-11-09T14:48:51.186437","indexId":"70156399","displayToPublicDate":"2011-05-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A numerical model investigation of the formation and persistence of an erosion hotspot","docAbstract":"<p><span>A Delft3D-SWAN coupled flow and wave model was constructed for the San Francisco Bight with high-resolution at 7 km-long Ocean Beach, a high-energy beach located immediately south of the Golden Gate, the sole entrance to San Francisco Bay. The model was used to investigate tidal and wave-induced flows, basic forcing terms, and potential sediment transport in an area in the southern portion of Ocean Beach that has eroded significantly over the last several decades. The model predicted flow patterns that were favorable for sediment removal from the area and net erosion from the surf-zone. Analysis of the forcing terms driving surf-zone flows revealed that wave refraction over an exposed wastewater outfall pipe between the 12 and 15 m isobaths introduces a perturbation in the wave field that results in erosion-causing flows. Modeled erosion agreed well with five years of topographic survey data from the area.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The proceedings of the Coastal Sediments 2011","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"7th International Symposium on Coastal Engineering and Science of Coastal Sediment Processes","conferenceDate":"May 2-6, 2011","conferenceLocation":"Miami, Florida, United States","language":"English","publisher":"World Scientific","doi":"10.1142/9789814355537_0134","usgsCitation":"Hansen, J., Elias, E., List, J., and Barnard, P.L., 2011, A numerical model investigation of the formation and persistence of an erosion hotspot, <i>in</i> The proceedings of the Coastal Sediments 2011, Miami, Florida, United States, May 2-6, 2011, p. 1769-1782, https://doi.org/10.1142/9789814355537_0134.","productDescription":"14 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pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":2880,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":569031,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":9001481,"text":"ds591 - 2011 - Sediment toxicity test results for the Urban Waters Study 2010, Bellingham Bay, Washington","interactions":[],"lastModifiedDate":"2019-07-19T08:49:48","indexId":"ds591","displayToPublicDate":"2011-04-30T00:00:00","publicationYear":"2011","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":"591","title":"Sediment toxicity test results for the Urban Waters Study 2010, Bellingham Bay, Washington","docAbstract":"The Washington Department of Ecology annually determines the quality of recently deposited sediments in Puget Sound as a part of Ecology's Urban Waters Initiative. The annual sediment quality studies use the Sediment Quality Triad (SQT) approach, thus relying on measures of chemical contamination, toxicity, and benthic in-faunal effects (Chapman, 1990). Since 2002, the studies followed a rotating sampling scheme, each year sampling a different region of the greater Puget Sound Basin. During the annual studies, samples are collected in locations selected with a stratified-random design, patterned after the designs previously used in baseline surveys completed during 1997-1999 (Long and others, 2003; Wilson and Partridge, 2007).\r\nSediment samples were collected by personnel from the Washington Department of Ecology, in June of 2010 and shipped to the U. S. Geological Survey (USGS) laboratory in Corpus Christi, Texas (not shown), where the tests were performed. Sediment pore water was extracted with a pneumatic apparatus and was stored frozen. Just before testing, water-quality measurements were made and salinity adjusted, if necessary. Tests were performed on a dilution series of each sample consisting of 100-, 50-, and 25-percent pore-water concentrations.\r\nThe specific objectives of this study were to:\r\n    * Extract sediment pore water from a total of 30 sediment samples from the Bellingham Bay, Washington area within a day of receipt of the samples.\r\n    * Measure water-quality parameters (salinity, dissolved oxygen, pH, sulfide, and ammonia) of thawed pore-water samples before testing and adjust salinity, temperature and dissolved oxygen, if necessary, to obtain optimal ranges for the test species.\r\n    * Conduct the fertilization toxicity test with pore water using sea urchin (Stronylocentrotus purpuratus) (S. purpuratus) gametes.\r\n    * Perform quality control assays with reference pore water, dilution blanks and a positive control dilution series with sodium dodecyl sulfate (SDS) in conjunction with each test.\r\n    * Determine which samples caused a significant decrease in percent fertilization success relative to the negative control.\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds591","usgsCitation":"Biedenbach, J.M., 2011, Sediment toxicity test results for the Urban Waters Study 2010, Bellingham Bay, Washington: U.S. Geological Survey Data Series 591, v, 5 p., https://doi.org/10.3133/ds591.","productDescription":"v, 5 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-06-01","temporalEnd":"2010-06-30","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":14648,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/591/","linkFileType":{"id":5,"text":"html"}},{"id":116898,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_591.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Bellingham Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.7886962890625,\n              48.43102300370144\n            ],\n            [\n              -122.2943115234375,\n              48.43102300370144\n            ],\n            [\n              -122.2943115234375,\n              48.83850916871952\n            ],\n            [\n              -122.7886962890625,\n              48.83850916871952\n            ],\n            [\n              -122.7886962890625,\n              48.43102300370144\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbf5a","contributors":{"authors":[{"text":"Biedenbach, James M.","contributorId":64353,"corporation":false,"usgs":true,"family":"Biedenbach","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":344589,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":9001477,"text":"sim3115 - 2011 - Geospatial characteristics of Florida's coastal and offshore environments: Administrative and political boundaries and offshore sand resources","interactions":[],"lastModifiedDate":"2012-02-02T00:15:50","indexId":"sim3115","displayToPublicDate":"2011-04-30T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3115","title":"Geospatial characteristics of Florida's coastal and offshore environments: Administrative and political boundaries and offshore sand resources","docAbstract":"The Geospatial Characteristics Geopdf of Florida's Coastal and Offshore Environments is a comprehensive collection of geospatial data describing the political and natural resources of Florida. This interactive map provides spatial information on bathymetry, sand resources, military areas, marine protected areas, cultural resources, locations of submerged cables, and shipping routes. The map should be useful to coastal resource managers and others interested in the administrative and political boundaries of Florida's coastal and offshore region. In particular, as oil and gas explorations continue to expand, the map may be used to explore information regarding sensitive areas and resources in the State of Florida. Users of this geospatial database will find that they have access to synthesized information in a variety of scientific disciplines concerning Florida's coastal zone. This powerful tool provides a one-stop assembly of data that can be tailored to fit the needs of many natural resource managers.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3115","collaboration":"U.S. Geological Survey Terrestrial, Freshwater and Marine Ecosystem Program ","usgsCitation":"Demopoulos, A., Foster, A.M., Jones, M.L., and Gualtieri, D.J., 2011, Geospatial characteristics of Florida's coastal and offshore environments: Administrative and political boundaries and offshore sand resources: U.S. Geological Survey Scientific Investigations Map 3115, 10 p., https://doi.org/10.3133/sim3115.","productDescription":"10 p.","additionalOnlineFiles":"N","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":116901,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3115.jpg"},{"id":19268,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3115/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67b15c","contributors":{"authors":[{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":28938,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda W.J.","affiliations":[],"preferred":false,"id":344580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster, Ann M. amfoster@usgs.gov","contributorId":3545,"corporation":false,"usgs":true,"family":"Foster","given":"Ann","email":"amfoster@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":344578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Michal L.","contributorId":11179,"corporation":false,"usgs":true,"family":"Jones","given":"Michal","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":344579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gualtieri, Daniel J.","contributorId":69518,"corporation":false,"usgs":true,"family":"Gualtieri","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":344581,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":9001474,"text":"ofr20111105 - 2011 - Review of samples of tailings, soils, and stream sediments adjacent to and downstream from the Ruth Mine, Inyo County, California","interactions":[],"lastModifiedDate":"2021-11-10T21:54:17.533869","indexId":"ofr20111105","displayToPublicDate":"2011-04-30T00:00:00","publicationYear":"2011","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":"2011-1105","title":"Review of samples of tailings, soils, and stream sediments adjacent to and downstream from the Ruth Mine, Inyo County, California","docAbstract":"The Ruth Mine and mill are located in the western Mojave Desert in Inyo County, California (fig. 1). The mill processed gold-silver (Au-Ag) ores mined from the Ruth Au-Ag deposit, which is adjacent to the mill site. The Ruth Au-Ag deposit is hosted in Mesozoic intrusive rocks and is similar to other Au-Ag deposits in the western Mojave Desert that are associated with Miocene volcanic centers that formed on a basement of Mesozoic granitic rocks (Bateman, 1907; Gardner, 1954; Rytuba, 1996). The volcanic rocks consist of silicic domes and associated flows, pyroclastic rocks, and subvolcanic intrusions (fig. 2) that were emplaced into Mesozoic silicic intrusive rocks (Troxel and Morton, 1962). The Ruth Mine is on Federal land managed by the U.S. Bureau of Land Management (BLM). Tailings from the mine have been eroded and transported downstream into Homewood Canyon and then into Searles Valley (figs. 3, 4, 5, and 6). The BLM provided recreational facilities at the mine site for day-use hikers and restored and maintained the original mine buildings in collaboration with local citizen groups for use by visitors (fig. 7). The BLM requested that the U.S. Geological Survey (USGS), in collaboration with Chapman University, measure arsenic (As) and other geochemical constituents in soils and tailings at the mine site and in stream sediments downstream from the mine in Homewood Canyon and in Searles Valley (fig. 3). The request was made because initial sampling of the site by BLM staff indicated high concentrations of As in tailings and soils adjacent to the Ruth Mine. This report summarizes data obtained from field sampling of mine tailings and soils adjacent to the Ruth Mine and stream sediments downstream from the mine on June 7, 2009. Our results permit a preliminary assessment of the sources of As and associated chemical constituents that could potentially impact humans and biota.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111105","usgsCitation":"Rytuba, J.J., Kim, C., and Goldstein, D., 2011, Review of samples of tailings, soils, and stream sediments adjacent to and downstream from the Ruth Mine, Inyo County, California: U.S. Geological Survey Open-File Report 2011-1105, v, 37 p., https://doi.org/10.3133/ofr20111105.","productDescription":"v, 37 p.","numberOfPages":"37","onlineOnly":"Y","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":391590,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95191.htm"},{"id":19264,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1105/","linkFileType":{"id":5,"text":"html"}},{"id":116902,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1105.gif"}],"country":"United States","state":"California","county":"Inyo County","otherGeospatial":"Ruth Mine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.425,\n              35.8139\n            ],\n            [\n              -117.3303,\n              35.8139\n            ],\n            [\n              -117.3303,\n              35.9\n            ],\n            [\n              -117.425,\n              35.9\n            ],\n            [\n              -117.425,\n              35.8139\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e747","contributors":{"authors":[{"text":"Rytuba, James J. jrytuba@usgs.gov","contributorId":3043,"corporation":false,"usgs":true,"family":"Rytuba","given":"James","email":"jrytuba@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":344567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kim, Christopher S.","contributorId":69258,"corporation":false,"usgs":true,"family":"Kim","given":"Christopher S.","affiliations":[],"preferred":false,"id":344568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldstein, Daniel N.","contributorId":87671,"corporation":false,"usgs":true,"family":"Goldstein","given":"Daniel N.","affiliations":[],"preferred":false,"id":344569,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":99238,"text":"ofr20111092 - 2011 - Review and interpretation of previous work and new data on the hydrogeology of the Schwartzwalder Uranium Mine and vicinity, Jefferson County, Colorado","interactions":[],"lastModifiedDate":"2017-12-13T12:15:49","indexId":"ofr20111092","displayToPublicDate":"2011-04-30T00:00:00","publicationYear":"2011","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":"2011-1092","title":"Review and interpretation of previous work and new data on the hydrogeology of the Schwartzwalder Uranium Mine and vicinity, Jefferson County, Colorado","docAbstract":"The Schwartzwalder deposit is the largest known vein type uranium deposit in the United States. Located about eight miles northwest of Golden, Colorado it occurs in Proterozoic metamorphic rocks and was formed by hydrothermal fluid flow, mineralization, and deformation during the Laramide Orogeny. A complex brittle fault zone hosts the deposit comprising locally brecciated carbonate, oxide, and sulfide minerals. Mining of pitchblende, the primary ore mineral, began in 1953 and an extensive network of underground workings was developed. Mine dewatering, treatment of the effluent and its discharge into the adjacent Ralston Creek was done under State permit from about 1990 through about 2008. Mining and dewatering ceased in 2000 and natural groundwater rebound has filled the mine workings to a current elevation that is above Ralston Creek but that is still below the lowest ground level adit. Water in the 'mine pool' has concentrations of dissolved uranium in excess of 1,000 times the U.S. Environmental Protection Agency drinking-water standard of 30 milligrams per liter. Other dissolved constituents such as molybdenum, radium, and sulfate are also present in anomalously high concentrations. \r\n\r\nRalston Creek flows in a narrow valley containing Quaternary alluvium predominantly derived from weathering of crystalline bedrock including local mineralized rock. Just upstream of the mine site, two capped and unsaturated waste rock piles with high radioactivity sit on an alluvial terrace. As Ralston Creek flows past the mine site, a host of dissolved metal concentrations increase. Ralston Creek eventually discharges into Ralston Reservoir about 2.5 miles downstream. Because of highly elevated uranium concentrations, the State of Colorado issued an enforcement action against the mine permit holder requiring renewed collection and treatment of alluvial groundwater.\r\n\r\nAs part of planned mine reclamation, abundant data were collected and compiled into a report by Wyman and Effner (2007), which was to be used as a basis for eventual mine site closure. In 2010 the U.S. Geological Survey was asked by the State of Colorado to provide an objective and independent review of the Wyman and Effner (2007) report and to identify gaps in knowledge regarding the hydrogeology of the mine site. \r\n\r\nKey findings from the U.S. Geological Survey assessment include geological structural analysis indicating that although the primary uranium-hosting fault likely does not cross under Ralston Creek, many complex subsidiary faults do cross under Ralston Creek. It is unknown if any of these faults act as conduits for mine pool water to enter Ralston Creek. Reported bedrock permeabilities are low, but local hydraulic gradients are sufficient to potentially drive groundwater flow from the mine pool to the creek. Estimated average linear velocities for the full range of reported hydraulic conductivities indicate groundwater transit times from the mine pool to the creek on the order of a few months to about 3,800 years or 11 to 65 years using mean reported input values. These estimates do not account for geochemical reactions along any given flow path that may differentially enhance or retard movement of individual dissolved constituents. New reconnaissance data including 34S isotope and 234U/238U isotopic activity ratios show potentially distinctive signatures for the mine pool compared to local groundwater and Ralston Creek water above the mine site.\r\n\r\nAlthough the mine pool may be near an equilibrium elevation, evidence for groundwater recharge transients indicates inflow to the workings that are greater than outflow. There is not enough hydraulic head data adjacent to the mine workings to adequately constrain a final equilibrium elevation or to predict how several wet years in succession might affect variations in mine pool elevation. Although ground level adits are sealed with bulkheads, if the mine pool elevation were to rise slightly to the elevation of or abo","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111092","collaboration":"Prepared in cooperation with the Colorado Division of Reclamation, Mining, and Safety\r\n","usgsCitation":"Caine, J.S., Johnson, R.H., and Wild, E.C., 2011, Review and interpretation of previous work and new data on the hydrogeology of the Schwartzwalder Uranium Mine and vicinity, Jefferson County, Colorado: U.S. Geological Survey Open-File Report 2011-1092, vi, 44 p.; Appendix, https://doi.org/10.3133/ofr20111092.","productDescription":"vi, 44 p.; Appendix","additionalOnlineFiles":"N","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":116904,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1092.png"},{"id":14652,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1092/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db673e88","contributors":{"authors":[{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":307840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Raymond H. rhjohnso@usgs.gov","contributorId":707,"corporation":false,"usgs":true,"family":"Johnson","given":"Raymond","email":"rhjohnso@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":307838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wild, Emily C. 0000-0001-6157-7629 ecwild@usgs.gov","orcid":"https://orcid.org/0000-0001-6157-7629","contributorId":1810,"corporation":false,"usgs":true,"family":"Wild","given":"Emily","email":"ecwild@usgs.gov","middleInitial":"C.","affiliations":[{"id":5081,"text":"Libraries","active":false,"usgs":true}],"preferred":false,"id":307839,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":99237,"text":"ofr20111089 - 2011 - Data network, collection, and analysis in the Diamond Valley flow system, central Nevada","interactions":[],"lastModifiedDate":"2012-03-08T17:16:39","indexId":"ofr20111089","displayToPublicDate":"2011-04-30T00:00:00","publicationYear":"2011","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":"2011-1089","title":"Data network, collection, and analysis in the Diamond Valley flow system, central Nevada","docAbstract":"Future groundwater development and its effect on future municipal, irrigation, and alternative energy uses in the Diamond Valley flow system are of concern for officials in Eureka County, Nevada. To provide a better understanding of the groundwater resources, the U.S. Geological Survey, in cooperation with Eureka County, commenced a multi-phase study of the Diamond Valley flow system in 2005. Groundwater development primarily in southern Diamond Valley has resulted in water-level declines since the 1960s ranging from less than 5 to 100 feet. Groundwater resources in the Diamond Valley flow system outside of southern Diamond Valley have been relatively undeveloped.\r\n\r\nData collected during phase 2 of the study (2006-09) included micrometeorological data at 4 evapotranspiration stations, 3 located in natural vegetation and 1 located in an agricultural field; groundwater levels in 95 wells; water-quality constituents in aquifers and springs at 21 locations; lithologic information from 7 recently drilled wells; and geophysical logs from 3 well sites. This report describes what was accomplished during phase 2 of the study, provides the data collected, and presents the approaches to strengthen relations between evapotranspiration rates measured at micrometeorological stations and spatially distributed groundwater discharge. This report also presents the approach to improve delineation of areas of groundwater discharge and describes the current methodology used to improve the accuracy of spatially distributed groundwater discharge rates in the Diamond Valley flow system.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111089","collaboration":"Prepared in cooperation with Eureka County, Nevada\r\n","usgsCitation":"Knochenmus, L.A., Berger, D.L., Moreo, M.T., and Smith, J.L., 2011, Data network, collection, and analysis in the Diamond Valley flow system, central Nevada: U.S. Geological Survey Open-File Report 2011-1089, vi, 22 p.; Appendices, https://doi.org/10.3133/ofr20111089.","productDescription":"vi, 22 p.; Appendices","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":116899,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1089.jpg"},{"id":14651,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1089/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c85d","contributors":{"authors":[{"text":"Knochenmus, Lari A. lari@usgs.gov","contributorId":301,"corporation":false,"usgs":true,"family":"Knochenmus","given":"Lari","email":"lari@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":307834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berger, David L. dlberger@usgs.gov","contributorId":1861,"corporation":false,"usgs":true,"family":"Berger","given":"David","email":"dlberger@usgs.gov","middleInitial":"L.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":307835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moreo, Michael T. 0000-0002-9122-6958 mtmoreo@usgs.gov","orcid":"https://orcid.org/0000-0002-9122-6958","contributorId":2363,"corporation":false,"usgs":true,"family":"Moreo","given":"Michael","email":"mtmoreo@usgs.gov","middleInitial":"T.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, J. LaRue jlsmith@usgs.gov","contributorId":1863,"corporation":false,"usgs":true,"family":"Smith","given":"J.","email":"jlsmith@usgs.gov","middleInitial":"LaRue","affiliations":[],"preferred":true,"id":307836,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":99225,"text":"sir20115035 - 2011 - Use of a two-dimensional hydrodynamic model to evaluate extreme flooding and transport of dissolved solids through Devils Lake and Stump Lake, North Dakota, 2006","interactions":[],"lastModifiedDate":"2018-03-09T13:31:41","indexId":"sir20115035","displayToPublicDate":"2011-04-29T00:00:00","publicationYear":"2011","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":"2011-5035","title":"Use of a two-dimensional hydrodynamic model to evaluate extreme flooding and transport of dissolved solids through Devils Lake and Stump Lake, North Dakota, 2006","docAbstract":"The U.S. Geological Survey in cooperation with the North Dakota Department of Transportation, North Dakota State Water Commission, and U.S. Army Corps of Engineers, developed a two-dimensional hydrodynamic model of Devils Lake and Stump Lake, North Dakota to be used as a hydrologic tool for evaluating the effects of different inflow scenarios on water levels, circulation, and the transport of dissolved solids through the lake. The numerical model, UnTRIM, and data primarily collected during 2006 were used to develop and calibrate the Devils Lake model. Performance of the Devils Lake model was tested using 2009 data. The Devils Lake model was applied to evaluate the effects of an extreme flooding event on water levels and hydrological modifications within the lake on the transport of dissolved solids through Devils Lake and Stump Lake.\r\n\r\nFor the 2006 calibration, simulated water levels in Devils Lake compared well with measured water levels. The maximum simulated water level at site 1 was within 0.13 feet of the maximum measured water level in the calibration, which gives reasonable confidence that the Devils Lake model is able to accurately simulate the maximum water level at site 1 for the extreme flooding scenario. The timing and direction of winddriven fluctuations in water levels on a short time scale (a few hours to a day) were reproduced well by the Devils Lake model. For this application, the Devils Lake model was not optimized for simulation of the current speed through bridge openings. In future applications, simulation of current speed through bridge openings could be improved by more accurate definition of the bathymetry and geometry of select areas in the model grid.\r\n\r\nAs a test of the performance of the Devils Lake model, a simulation of 2009 conditions from April 1 through September 30, 2009 was performed. Overall, errors in inflow estimates affected the results for the 2009 simulation; however, for the rising phase of the lakes, the Devils Lake model accurately simulated the faster rate of rise in Devils Lake than in Stump Lake, and timing and direction of wind-driven fluctuations in water levels on a short time scale were reproduced well.\r\n\r\nTo help the U.S. Army Corps of Engineers determine the elevation to which the protective embankment for the city of Devils Lake should be raised, an extreme flooding scenario based on an inflow of one-half the probable maximum flood was simulated. Under the conditions and assumptions of the extreme flooding scenario, the water level for both lakes reached a maximum water level around 1,461.9 feet above the National Geodetic Vertical Datum of 1929.\r\n\r\nOne factor limiting the extent of pumping from the Devils Lake State Outlet is sulfate concentrations in West Bay. If sulfate concentrations can be reduced in West Bay, pumping from the Devils Lake State Outlet potentially can increase. The Devils Lake model was used to simulate the transport of dissolved solids using specific conductance data as a surrogate for sulfate. Because the transport of dissolved solids was not calibrated, results from the simulations were not actual expected concentrations. However, the effects of hydrological modifications on the transport of dissolved solids could be evaluated by comparing the effects of hydrological modifications relative to a baseline scenario in which no hydrological modifications were made. Four scenarios were simulated: (1) baseline condition (no hydrological modification), (2) diversion of Channel A, (3) reduction of the area of water exchange between Main Bay and East Bay, and (4) combination of scenarios 2 and 3. Relative to scenario 1, mean concentrations in West Bay for scenarios 2 and 4 were reduced by approximately 9 percent. Given that there is no change in concentration for scenario 3, but about a 9-percent reduction in concentration for scenario 4, the diversion of Channel A was the only hydrologic modification that appeared to have the potential to reduce sulfate c","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115035","collaboration":"Prepared in cooperation with North Dakota Department of Transportation, North Dakota State Water Commission and U.S. Army Corps of Engineers","usgsCitation":"Nustad, R.A., Wood, T.M., and Bales, J.D., 2011, Use of a two-dimensional hydrodynamic model to evaluate extreme flooding and transport of dissolved solids through Devils Lake and Stump Lake, North Dakota, 2006: U.S. Geological Survey Scientific Investigations Report 2011-5035, vi, 33 p., https://doi.org/10.3133/sir20115035.","productDescription":"vi, 33 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":116918,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5035.jpg"},{"id":14647,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5035/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae3ff","contributors":{"authors":[{"text":"Nustad, Rochelle A. 0000-0002-4713-5944 ranustad@usgs.gov","orcid":"https://orcid.org/0000-0002-4713-5944","contributorId":1811,"corporation":false,"usgs":true,"family":"Nustad","given":"Rochelle","email":"ranustad@usgs.gov","middleInitial":"A.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307831,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Tamara M. 0000-0001-6057-8080 tmwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6057-8080","contributorId":1164,"corporation":false,"usgs":true,"family":"Wood","given":"Tamara","email":"tmwood@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bales, Jerad D. 0000-0001-8398-6984 jdbales@usgs.gov","orcid":"https://orcid.org/0000-0001-8398-6984","contributorId":683,"corporation":false,"usgs":true,"family":"Bales","given":"Jerad","email":"jdbales@usgs.gov","middleInitial":"D.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":307829,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":99224,"text":"sir20115027 - 2011 - Design and evaluation of a field study on the contamination of selected volatile organic compounds and wastewater-indicator compounds in blanks and groundwater samples","interactions":[],"lastModifiedDate":"2017-10-14T11:31:42","indexId":"sir20115027","displayToPublicDate":"2011-04-29T00:00:00","publicationYear":"2011","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":"2011-5027","title":"Design and evaluation of a field study on the contamination of selected volatile organic compounds and wastewater-indicator compounds in blanks and groundwater samples","docAbstract":"<p>The Field Contamination Study (FCS) was designed to determine the field processes that tend to result in clean field blanks and to identify potential sources of contamination to blanks collected in the field from selected volatile organic compounds (VOCs) and wastewater-indicator compounds (WICs). The VOCs and WICs analyzed in the FCS were detected in blanks collected by the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Program during 1996–2008 and 2002–08, respectively. To minimize the number of variables, the study required ordering of supplies just before sampling, storage of supplies and equipment in clean areas, and use of adequate amounts of purge-and-trap volatile-grade methanol and volatile pesticide-grade blank water (VPBW) to clean sampling equipment and to collect field blanks.</p><p>Blanks and groundwater samples were collected during 2008–09 at 16 sites, which were a mix of water-supply and monitoring wells, located in 9 States. Five different sample types were collected for the FCS at each site: (1) a source-solution blank collected at the USGS National Water Quality Laboratory (NWQL) using laboratory-purged VPBW, (2) source-solution blanks collected in the field using laboratory-purged VPBW, (3) source-solution blanks collected in the field using field-purged VPBW, (4) a field blank collected using field-purged VPBW, and (5) a groundwater sample collected from a well. The source-solution blank and field-blank analyses were used to identify, quantify, and document extrinsic contamination and to help determine the sources and causes of data-quality problems that can affect groundwater samples.</p><p>Concentrations of compounds detected in FCS analyses were quantified and results were stored in the USGS National Water Information System database after meeting rigorous identification and quantification criteria. The study also utilized information provided by laboratory analysts about evidence indicating the presence of selected compounds, using less rigorous identification criteria than is required for reporting data to the National Water Information System database. For the FCS, these data are considered adequate to indicate \"evidence of presence,\" and were used only for diagnostic purposes. Evidence of VOCs and WICs at low concentrations near or less than the long-term method detection level can indicate a contamination problem that could affect future datasets if method detection levels were ever to be lowered.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115027","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Thiros, S.A., Bender, D.A., Mueller, D.K., Rose, D.L., Olsen, L., Martin, J.D., Bernard, B., and Zogorski, J.S., 2011, Design and evaluation of a field study on the contamination of selected volatile organic compounds and wastewater-indicator compounds in blanks and groundwater samples: U.S. Geological Survey Scientific Investigations Report 2011-5027, x, 85 p., https://doi.org/10.3133/sir20115027.","productDescription":"x, 85 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":116912,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5027.jpg"},{"id":14646,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5027/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa9e4b07f02db667eb1","contributors":{"authors":[{"text":"Thiros, Susan A. 0000-0002-8544-553X sthiros@usgs.gov","orcid":"https://orcid.org/0000-0002-8544-553X","contributorId":965,"corporation":false,"usgs":true,"family":"Thiros","given":"Susan","email":"sthiros@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bender, David A. 0000-0002-1269-0948 dabender@usgs.gov","orcid":"https://orcid.org/0000-0002-1269-0948","contributorId":985,"corporation":false,"usgs":true,"family":"Bender","given":"David","email":"dabender@usgs.gov","middleInitial":"A.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, David K. mueller@usgs.gov","contributorId":1585,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"mueller@usgs.gov","middleInitial":"K.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":307825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Donna L. 0000-0003-1216-9914 dlrose@usgs.gov","orcid":"https://orcid.org/0000-0003-1216-9914","contributorId":4546,"corporation":false,"usgs":true,"family":"Rose","given":"Donna","email":"dlrose@usgs.gov","middleInitial":"L.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":307827,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olsen, Lisa D. ldolsen@usgs.gov","contributorId":2707,"corporation":false,"usgs":true,"family":"Olsen","given":"Lisa D.","email":"ldolsen@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":307826,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Jeffrey D. 0000-0003-1994-5285 jdmartin@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-5285","contributorId":1066,"corporation":false,"usgs":true,"family":"Martin","given":"Jeffrey","email":"jdmartin@usgs.gov","middleInitial":"D.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307824,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bernard, Bruce","contributorId":67170,"corporation":false,"usgs":true,"family":"Bernard","given":"Bruce","email":"","affiliations":[],"preferred":false,"id":307828,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zogorski, John S. jszogors@usgs.gov","contributorId":189,"corporation":false,"usgs":true,"family":"Zogorski","given":"John","email":"jszogors@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":307821,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":99218,"text":"fs20113044 - 2011 - Floristic Quality Index: An assessment tool for restoration projects and monitoring sites in coastal Louisiana","interactions":[],"lastModifiedDate":"2012-02-02T00:14:31","indexId":"fs20113044","displayToPublicDate":"2011-04-29T00:00:00","publicationYear":"2011","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":"2011-3044","title":"Floristic Quality Index: An assessment tool for restoration projects and monitoring sites in coastal Louisiana","docAbstract":"The Coastwide Reference Monitoring System (CRMS) program was established to assess the effectiveness of individual coastal restoration projects and the cumulative effects of multiple projects at regional and coastwide scales. In order to make these assessments, analytical teams have been assembled for each of the primary data types sampled under the CRMS program, including vegetation, hydrology, landscape, and soils. These teams consist of scientists and support staff from the U.S. Geological Survey and other Federal agencies, the Louisiana Office of Coastal Protection and Restoration, and university academics. Each team is responsible for developing or identifying parameters, indices, or tools that can be used to assess coastal wetlands at various scales. The CRMS Vegetation Analytical Team has developed a Floristic Quality Index for coastal Louisiana to determine the quality of a wetland based on its plant species composition and abundance.\r\n\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20113044","usgsCitation":"Cretini, K., and Steyer, G., 2011, Floristic Quality Index: An assessment tool for restoration projects and monitoring sites in coastal Louisiana: U.S. Geological Survey Fact Sheet 2011-3044, 4 p., https://doi.org/10.3133/fs20113044.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":116914,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3044.gif"},{"id":14640,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3044/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d8e4b07f02db5df74f","contributors":{"authors":[{"text":"Cretini, K.F. 0000-0003-0419-0748","orcid":"https://orcid.org/0000-0003-0419-0748","contributorId":55922,"corporation":false,"usgs":true,"family":"Cretini","given":"K.F.","affiliations":[],"preferred":false,"id":307806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steyer, G.D. 0000-0001-7231-0110","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":40302,"corporation":false,"usgs":true,"family":"Steyer","given":"G.D.","affiliations":[],"preferred":false,"id":307805,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99217,"text":"ofr20111097 - 2011 - CRMS vegetation analytical team framework: Methods for collection, development, and use of vegetation response variables","interactions":[],"lastModifiedDate":"2012-02-02T00:15:50","indexId":"ofr20111097","displayToPublicDate":"2011-04-29T00:00:00","publicationYear":"2011","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":"2011-1097","title":"CRMS vegetation analytical team framework: Methods for collection, development, and use of vegetation response variables","docAbstract":"This document identifies the main objectives of the Coastwide Reference Monitoring System (CRMS) vegetation analytical team, which are to provide (1) collection and development methods for vegetation response variables and (2) the ways in which these response variables will be used to evaluate restoration project effectiveness. The vegetation parameters (that is, response variables) collected in CRMS and other coastal restoration projects funded under the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) are identified, and the field collection methods for these parameters are summarized. Existing knowledge on community and plant responses to changes in environmental drivers (for example, flooding and salinity) from published literature and from the CRMS and CWPPRA monitoring dataset are used to develop a suite of indices to assess wetland condition in coastal Louisiana. Two indices, the floristic quality index (FQI) and a productivity index, are described for herbaceous and forested vegetation. The FQI for herbaceous vegetation is tested with a long-term dataset from a CWPPRA marsh creation project. Example graphics for this index are provided and discussed. The other indices, an FQI for forest vegetation (that is, trees and shrubs) and productivity indices for herbaceous and forest vegetation, are proposed but not tested. New response variables may be added or current response variables removed as data become available and as our understanding of restoration success indicators develops.\r\n\r\nOnce indices are fully developed, each will be used by the vegetation analytical team to assess and evaluate CRMS/CWPPRA project and program effectiveness. The vegetation analytical teams plan to summarize their results in the form of written reports and/or graphics and present these items to CRMS Federal and State sponsors, restoration project managers, landowners, and other data users for their input.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111097","usgsCitation":"Cretini, K., Visser, J.M., Krauss, K.W., and Steyer, G.D., 2011, CRMS vegetation analytical team framework: Methods for collection, development, and use of vegetation response variables: U.S. Geological Survey Open-File Report 2011-1097, vi, 60 p., https://doi.org/10.3133/ofr20111097.","productDescription":"vi, 60 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":116911,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1097.jpg"},{"id":14639,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1097/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f9814","contributors":{"authors":[{"text":"Cretini, Kari F. 0000-0003-0419-0748","orcid":"https://orcid.org/0000-0003-0419-0748","contributorId":106247,"corporation":false,"usgs":true,"family":"Cretini","given":"Kari F.","affiliations":[],"preferred":false,"id":307804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Visser, Jenneke M.","contributorId":90397,"corporation":false,"usgs":true,"family":"Visser","given":"Jenneke","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":307803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":307801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":307802,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":99220,"text":"sir20115002 - 2011 - Status of groundwater quality in the Southern, Middle, and Northern Sacramento Valley study units, 2005-08: California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2022-10-07T18:46:11.471849","indexId":"sir20115002","displayToPublicDate":"2011-04-29T00:00:00","publicationYear":"2011","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":"2011-5002","title":"Status of groundwater quality in the Southern, Middle, and Northern Sacramento Valley study units, 2005-08: California GAMA Priority Basin Project","docAbstract":"<p>Groundwater quality in the Southern, Middle, and Northern Sacramento Valley study units was investigated as part of the Priority Basin Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The study units are located in California’s Central Valley and include parts of Butte, Colusa, Glenn, Placer, Sacramento, Shasta, Solano, Sutter, Tehama, Yolo, and Yuba Counties. The GAMA Priority Basin Project is being conducted by the California State Water Resources Control Board in collaboration with the U.S. Geological Survey and the Lawrence Livermore National Laboratory.</p><p>The three study units were designated to provide spatially-unbiased assessments of the quality of untreated groundwater in three parts of the Central Valley hydrogeologic province, as well as to provide a statistically consistent basis for comparing water quality regionally and statewide. Samples were collected in 2005 (Southern Sacramento Valley), 2006 (Middle Sacramento Valley), and 2007–08 (Northern Sacramento Valley).</p><p>The GAMA studies in the Southern, Middle, and Northern Sacramento Valley were designed to provide statistically robust assessments of the quality of untreated groundwater in the primary aquifer systems that are used for drinking-water supply. The assessments are based on water-quality data collected by the USGS from 235 wells in the three study units in 2005–08, and water-quality data from the California Department of Public Health (CDPH) database. The primary aquifer systems (hereinafter, referred to as primary aquifers) assessed in this study are defined by the depth intervals of the wells in the CDPH database for each study unit. The quality of groundwater in shallow or deep water-bearing zones may differ from quality of groundwater in the primary aquifers; shallow groundwater may be more vulnerable to contamination from the surface.</p><p>The status of the current quality of the groundwater resource was assessed by using data from samples analyzed for volatile organic compounds (VOC), pesticides, and naturally occurring inorganic constituents, such as major ions and trace elements. This<span>&nbsp;</span><i>status assessment</i><span>&nbsp;</span>is intended to characterize the quality of groundwater resources within the primary aquifers of the three Sacramento Valley study units, not the treated drinking water delivered to consumers by water purveyors.</p><p>Relative-concentrations (sample concentrations divided by benchmark concentrations) were used for evaluating groundwater quality for those constituents that have Federal or California regulatory or non-regulatory benchmarks for drinking-water quality. A relative-concentration greater than 1.0 indicates a concentration greater than a benchmark. For organic (volatile organic compounds and pesticides) and special-interest (perchlorate) constituents, relative-concentrations were classified as high (greater than 1.0); moderate (equal to or less than 1.0 and greater than 0.1); or low (equal to or less than 0.1). For inorganic (major ion, trace element, nutrient, and radioactive) constituents, the boundary between low and moderate relative-concentrations was set at 0.5.</p><p>Aquifer-scale proportions were used in the<span>&nbsp;</span><i>status assessment</i><span>&nbsp;</span>for evaluating regional-scale groundwater quality. High aquifer-scale proportion is defined as the percentage of the area of the primary aquifers that have a relative-concentration greater than 1.0 for a particular constituent or class of constituents; percentage is based on an areal rather than a volumetric basis. Moderate and low aquifer-scale proportions were defined as the percentage of the primary aquifers that have moderate and low relative-concentrations, respectively. Two statistical approaches—grid-based, which used one value per grid cell, and spatially-weighted, which used the full dataset—were used to calculate aquifer-scale proportions for individual constituents and classes of constituents.</p><p>High and moderate aquifer-scale proportions were significantly greater for inorganic constituents than organic constituents in all three study units. In the Southern Sacramento Valley study unit, relative-concentrations for one or more inorganic constituents with health-based benchmarks (HBBs) were high in 30 percent (%), moderate in 30%, and low in 40% of the primary aquifer. In the Middle Sacramento Valley study unit, aquifer-scale proportions for inorganic constituents with HBBs were high in 24%, moderate in 38%, and low in 38% of the primary aquifer. Arsenic, boron, and nitrate were detected at high relative-concentrations in the Southern and Middle Sacramento Valley study units. In the Northern Sacramento Valley study unit, high, moderate, and low relative-concentrations of inorganic constituents relative to HBBs were 2.1, 12, and 86% of the primary aquifer, respectively. Arsenic was the only constituent detected at high relative-concentrations. The high aquifer-scale proportions for inorganic constituents with non-health-based benchmarks were 32, 27, and 4.6% of the primary aquifer for the Southern, Middle, and Northern Sacramento Valley study units, respectively.</p><p>The high aquifer-scale proportions for organic constituents with HBBs were less than 1% in the Southern, Middle, and Northern Sacramento Valley study units. Organic constituents were detected at moderate relative-concentrations in about 3% of the Southern and Middle Sacramento Valley study units and in 1% of the Northern Sacramento Valley study unit. Of the 227 organic constituents analyzed for, 86 were detected, and of those detected, 56 have HBBs. Six organic constituents (atrazine, bentazon, chloroform, simazine, tetrachloroethene, and trichloroethene) were detected in 10% or more of the sampled wells in one or more of the three Sacramento Valley study units.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115002","collaboration":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program\r\nPrepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Bennett, G.L., Fram, M.S., and Belitz, K., 2011, Status of groundwater quality in the Southern, Middle, and Northern Sacramento Valley study units, 2005-08: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2011-5002, x, 119 p., https://doi.org/10.3133/sir20115002.","productDescription":"x, 119 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":116920,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5002.jpg"},{"id":14642,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5002/","linkFileType":{"id":5,"text":"html"}},{"id":408102,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95153.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Sacramento Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.66259765625001,\n              38.039438891821746\n            ],\n            [\n              -120.78369140624999,\n              38.298559092254344\n            ],\n            [\n              -121.88232421875,\n              40.70562793820589\n            ],\n            [\n              -122.904052734375,\n              40.57224011776902\n            ],\n            [\n              -122.354736328125,\n              39.07890809706475\n            ],\n            [\n              -121.66259765625001,\n              38.039438891821746\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abce4b07f02db673732","contributors":{"authors":[{"text":"Bennett, George L. 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,{"id":9001475,"text":"ds592 - 2011 - Fractal analysis of the Navassa Island seascape","interactions":[],"lastModifiedDate":"2012-02-02T00:15:11","indexId":"ds592","displayToPublicDate":"2011-04-29T00:00:00","publicationYear":"2011","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":"592","title":"Fractal analysis of the Navassa Island seascape","docAbstract":"This release provides the numerical results of the fractal analyses discussed in Zawada and others (2010) for the Navassa Island reefscape. The project represents the continuation of a U.S. Geological Survey (USGS) research effort begun in 2006 (Zawada and others, 2006) to understand the patterns and scalability of roughness and topographic complexity from individual corals to complete reefscapes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds592","usgsCitation":"Zawada, D., 2011, Fractal analysis of the Navassa Island seascape: U.S. Geological Survey Data Series 592, HTML page; Metadata files; Data files, https://doi.org/10.3133/ds592.","productDescription":"HTML page; Metadata files; Data files","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116917,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_592.bmp"},{"id":115727,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/592/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6adf65","contributors":{"authors":[{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":1898,"corporation":false,"usgs":true,"family":"Zawada","given":"David G.","email":"dzawada@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":344570,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":9001476,"text":"ds585 - 2011 - EAARL Coastal Topography--Cape Canaveral, Florida, 2009: First Surface","interactions":[],"lastModifiedDate":"2012-02-02T00:15:50","indexId":"ds585","displayToPublicDate":"2011-04-29T00:00:00","publicationYear":"2011","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":"585","title":"EAARL Coastal Topography--Cape Canaveral, Florida, 2009: First Surface","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Kennedy Space Center, FL. This project provides highly detailed and accurate datasets of a portion of the eastern Florida coastline beachface, acquired on May 28, 2009. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color-infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine aircraft, but the instrument was deployed on a Pilatus PC-6. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the \"bare earth\" under vegetation from a point cloud of last return elevations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds585","usgsCitation":"Bonisteel-Cormier, J., Nayegandhi, A., Plant, N., Wright, C.W., Nagle, D., Serafin, K., and Klipp, E., 2011, EAARL Coastal Topography--Cape Canaveral, Florida, 2009: First Surface: U.S. Geological Survey Data Series 585, HTML document, https://doi.org/10.3133/ds585.","productDescription":"HTML document","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116188,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_585.bmp"},{"id":115726,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/585/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f445","contributors":{"authors":[{"text":"Bonisteel-Cormier, J.M.","contributorId":8060,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"J.M.","affiliations":[],"preferred":false,"id":344571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":344572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel 0000-0002-5703-5672","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":81234,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":344575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C. W. wwright@usgs.gov","contributorId":49758,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":344574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagle, D.B.","contributorId":40568,"corporation":false,"usgs":true,"family":"Nagle","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":344573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Serafin, K.S.","contributorId":88860,"corporation":false,"usgs":true,"family":"Serafin","given":"K.S.","email":"","affiliations":[],"preferred":false,"id":344576,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klipp, E.S.","contributorId":100340,"corporation":false,"usgs":true,"family":"Klipp","given":"E.S.","affiliations":[],"preferred":false,"id":344577,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":9001473,"text":"ofr20111034 - 2011 - Review of samples of sediments, tailings, and waters adjacent to the Cactus Queen Gold Mine, Kern County, California","interactions":[],"lastModifiedDate":"2021-10-06T20:14:39.370659","indexId":"ofr20111034","displayToPublicDate":"2011-04-26T00:00:00","publicationYear":"2011","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":"2011-1034","title":"Review of samples of sediments, tailings, and waters adjacent to the Cactus Queen Gold Mine, Kern County, California","docAbstract":"The Cactus Queen Mine is located in the western Mojave Desert in Kern County, California. The Cactus Queen gold-silver (Au-Ag) deposit is similar to other Au-Ag deposits hosted in Miocene volcanic rocks that consist of silicic domes and associated flows, pyroclastic rocks, and subvolcanic intrusions. The volcanic rocks were emplaced onto a basement of Mesozoic silicic intrusive rocks. A part of the Cactus Queen Mine is located on Federal land managed by the U.S. Bureau of Land Management (BLM). Staff from the BLM initially sampled the mine area and documented elevated concentrations of arsenic (As) in tailings and sediment. BLM then requested that the U.S. Geological Survey (USGS), in collaboration with Chapman University, measure and characterize As and other geochemical constituents in sediment, tailings, and waters on the part of the mine on Federal lands. This report is made in response to the request by the BLM, the lead agency mandated to conduct a Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) - Removal Site Investigation (RSI). The RSI applies to the potential removal of As-contaminated mine waste from the Cactus Queen Mine as a means of reducing As release and exposure to humans and biota. This report summarizes data obtained from field sampling of sediments, mine tailings, and surface waters at the Cactus Queen Mine on January 27, 2008. Our results provide a preliminary assessment of the sources of As and associated chemical constituents that could potentially impact humans and biota.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111034","usgsCitation":"Rytuba, J.J., Kim, C., and Goldstein, D., 2011, Review of samples of sediments, tailings, and waters adjacent to the Cactus Queen Gold Mine, Kern County, California: U.S. Geological Survey Open-File Report 2011-1034, v, 34 p., https://doi.org/10.3133/ofr20111034.","productDescription":"v, 34 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":116845,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1034.gif"},{"id":390293,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95161.htm"},{"id":19263,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1034/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","county":"Kern County","otherGeospatial":"Cactus Queen Gold Mine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.2964,\n              34.9472\n            ],\n            [\n              -118.2542,\n              34.9472\n            ],\n            [\n              -118.2542,\n              34.9817\n            ],\n            [\n              -118.2964,\n              34.9817\n            ],\n            [\n              -118.2964,\n              34.9472\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e745","contributors":{"authors":[{"text":"Rytuba, James J. jrytuba@usgs.gov","contributorId":3043,"corporation":false,"usgs":true,"family":"Rytuba","given":"James","email":"jrytuba@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":344564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kim, Christopher S.","contributorId":69258,"corporation":false,"usgs":true,"family":"Kim","given":"Christopher S.","affiliations":[],"preferred":false,"id":344565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldstein, Daniel N.","contributorId":87671,"corporation":false,"usgs":true,"family":"Goldstein","given":"Daniel N.","affiliations":[],"preferred":false,"id":344566,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":9001466,"text":"ds577 - 2011 - Archive of Side Scan Sonar and Swath Bathymetry Data collected during USGS Cruise 10CCT02 Offshore of Petit Bois Island Including Petit Bois Pass, Gulf Islands National Seashore, Mississippi, March 2010","interactions":[],"lastModifiedDate":"2012-02-02T00:15:50","indexId":"ds577","displayToPublicDate":"2011-04-23T00:00:00","publicationYear":"2011","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":"577","title":"Archive of Side Scan Sonar and Swath Bathymetry Data collected during USGS Cruise 10CCT02 Offshore of Petit Bois Island Including Petit Bois Pass, Gulf Islands National Seashore, Mississippi, March 2010","docAbstract":"In March of 2010, the U.S. Geological Survey (USGS) conducted geophysical surveys offshore of Petit Bois Island, Mississippi, and Dauphin Island, Alabama (fig. 1). These efforts were part of the USGS Gulf of Mexico Science Coordination partnership with the U.S. Army Corps of Engineers (USACE) to assist the Mississippi Coastal Improvements Program (MsCIP) and the Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazards Susceptibility Project by mapping the shallow geologic stratigraphic framework of the Mississippi Barrier Island Complex. These geophysical surveys will provide the data necessary for scientists to define, interpret, and provide baseline bathymetry and seafloor habitat for this area and to aid scientists in predicting future geomorphological changes of the islands with respect to climate change, storm impact, and sea-level rise. Furthermore, these data will provide information for barrier island restoration, particularly in Camille Cut, and protection for the historical Fort Massachusetts on Ship Island, Mississippi. For more information please refer to http://ngom.usgs.gov/gomsc/mscip/index.html. This report serves as an archive of the processed swath bathymetry and side scan sonar data (SSS). Data products herein include gridded and interpolated surfaces, seabed backscatter images, and ASCII x,y,z data products for both swath bathymetry and side scan sonar imagery. Additional files include trackline maps, navigation files, GIS files, Field Activity Collection System (FACS) logs, and formal FGDC metadata. Scanned images of the handwritten and digital FACS logs are also provided as PDF files. Refer to the Acronyms page for expansion of acronyms and abbreviations used in this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds577","usgsCitation":"Pfeiffer, W.R., Flocks, J.G., DeWitt, N.T., Forde, A.S., Kelso, K., Thompson, P.R., and Wiese, D.S., 2011, Archive of Side Scan Sonar and Swath Bathymetry Data collected during USGS Cruise 10CCT02 Offshore of Petit Bois Island Including Petit Bois Pass, Gulf Islands National Seashore, Mississippi, March 2010: U.S. Geological Survey Data Series 577, HTML Page; Disc, https://doi.org/10.3133/ds577.","productDescription":"HTML Page; Disc","additionalOnlineFiles":"Y","temporalStart":"2011-03-01","temporalEnd":"2010-03-31","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116733,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_577.jpg"},{"id":19258,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/577/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679d68","contributors":{"authors":[{"text":"Pfeiffer, William R. wpfeiffer@usgs.gov","contributorId":3725,"corporation":false,"usgs":true,"family":"Pfeiffer","given":"William","email":"wpfeiffer@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":344550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":344548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeWitt, Nancy T. 0000-0002-2419-4087 ndewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2419-4087","contributorId":4095,"corporation":false,"usgs":true,"family":"DeWitt","given":"Nancy","email":"ndewitt@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":344551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":344547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelso, Kyle","contributorId":68017,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","affiliations":[],"preferred":false,"id":344552,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, Phillip R.","contributorId":90023,"corporation":false,"usgs":true,"family":"Thompson","given":"Phillip","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":344553,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":344549,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":9001467,"text":"ds584 - 2011 - Digital surfaces and hydrogeologic data for the Floridan aquifer system in Florida and in parts of Georgia, Alabama, and South Carolina","interactions":[],"lastModifiedDate":"2016-12-02T11:45:22","indexId":"ds584","displayToPublicDate":"2011-04-23T00:00:00","publicationYear":"2011","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":"584","title":"Digital surfaces and hydrogeologic data for the Floridan aquifer system in Florida and in parts of Georgia, Alabama, and South Carolina","docAbstract":"A digital dataset for the Floridan aquifer system in Florida and in parts of Georgia, Alabama, and South Carolina was developed from selected reports published as part of the Regional Aquifer-System Analysis (RASA) Program of the U.S. Geological Survey (USGS) in the 1980s. These reports contain maps and data depicting the extent and elevation of both time-stratigraphic and hydrogeologic units of which the aquifer system is composed, as well as data on hydrology, meteorology, and aquifer properties. The three primary reports used for this dataset compilation were USGS Professional Paper 1403-B (Miller, 1986), Professional Paper 1403-C (Bush and Johnston, 1988), and USGS Open-File Report 88-86 (Miller, 1988). Paper maps from Professional Papers 1403-B and 1403-C were scanned and georeferenced to the North American Datum of 1927 (NAD27) using the Lambert Conformal Conic projection (standard parallels 33 and 45 degrees, central longitude -96 degrees, central latitude 39 degrees). Once georeferenced, tracing of pertinent line features contained in each image (for example, contours and faults) was facilitated by specialized software using algorithms that automated much of the process. Resulting digital line features were then processed using standard geographic information system (GIS) software to remove artifacts from the digitization process and to verify and update attribute tables. The digitization process for polygonal features (for example, outcrop areas and unit extents) was completed by hand using GIS software.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds584","usgsCitation":"Bellino, J.C., 2011, Digital surfaces and hydrogeologic data for the Floridan aquifer system in Florida and in parts of Georgia, Alabama, and South Carolina: U.S. Geological Survey Data Series 584, Digital Dataset , https://doi.org/10.3133/ds584.","productDescription":"Digital Dataset ","additionalOnlineFiles":"Y","costCenters":[{"id":282,"text":"Florida Integrated Science Center-Tampa","active":false,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":116734,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_584.gif"},{"id":19259,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/584/","linkFileType":{"id":5,"text":"html"}}],"scale":"2000000","country":"United States","state":"Alabama, Florida, Georgia, South Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.56,24.39 ], [ -88.56,33.22 ], [ -79.48,33.22 ], [ -79.48,24.39 ], [ -88.56,24.39 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a85e4b07f02db64d7b7","contributors":{"authors":[{"text":"Bellino, Jason C. 0000-0001-9046-9344 jbellino@usgs.gov","orcid":"https://orcid.org/0000-0001-9046-9344","contributorId":3724,"corporation":false,"usgs":true,"family":"Bellino","given":"Jason","email":"jbellino@usgs.gov","middleInitial":"C.","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":344554,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":9001469,"text":"ofr20111027 - 2011 - Assessment of aquatic macroinvertebrate communities in the Autauga Creek watershed, Autauga County, Alabama, 2009","interactions":[],"lastModifiedDate":"2012-02-03T00:10:05","indexId":"ofr20111027","displayToPublicDate":"2011-04-23T00:00:00","publicationYear":"2011","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":"2011-1027","title":"Assessment of aquatic macroinvertebrate communities in the Autauga Creek watershed, Autauga County, Alabama, 2009","docAbstract":"Only four families within the Ephemeroptera, Plecoptera, and Trichoptera orders were found during a 1999 survey of aquatic macroinvertebrates in Autauga Creek, Autauga County, Alabama, by the Alabama Department of Environmental Management. The low number of taxa of Ephemeroptera, Plecoptera, and Trichoptera families indicated that the aquatic macroinvertebrate community was in poor condition, and the creek was placed on the Alabama Department of Environmental Management 303(d) list. The U.S. Geological Survey conducted a study in 2009 to provide data for the Alabama Department of Environmental Management and other water management agencies to re-evaluate aquatic macroinvertebrate communities in Autauga Creek to see if they meet Alabama Department of Environmental Management water-quality criteria. Aquatic macroinvertebrate communities were evaluated at three sites in the Autauga Creek watershed. Macroinvertebrates were sampled at two sites on Autauga Creek and one on Bridge Creek, the largest tributary to Autauga Creek. Water-quality field parameters were assessed at 11 sites. During the 2009 sampling, 12 families within the orders of Ephemeroptera, Plecoptera, Trichoptera were found at the Alabama Department of Environmental Management's assessment site whereas only four were found in 1999. The upstream site on Autauga Creek had consistently higher numbers of taxa than the Bridge Creek site and the lower site on Autauga Creek which is the Alabama Department of Environmental Management's assessment site. Chironomid richness was noticeably higher on the two Autauga Creek sites than the Bridge Creek site.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111027","collaboration":"Prepared in cooperation with the Alabama Clean Water Partnership\r\n","usgsCitation":"Mooty, W.S., and Gill, A.C., 2011, Assessment of aquatic macroinvertebrate communities in the Autauga Creek watershed, Autauga County, Alabama, 2009: U.S. Geological Survey Open-File Report 2011-1027, iv, 18 p., https://doi.org/10.3133/ofr20111027.","productDescription":"iv, 18 p.","additionalOnlineFiles":"N","temporalStart":"2009-06-01","temporalEnd":"2009-12-31","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":116732,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1027.jpg"},{"id":19261,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1027/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db6728b4","contributors":{"authors":[{"text":"Mooty, Will S. wsmooty@usgs.gov","contributorId":3878,"corporation":false,"usgs":true,"family":"Mooty","given":"Will","email":"wsmooty@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":344560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gill, Amy C. 0000-0002-5738-9390 acgill@usgs.gov","orcid":"https://orcid.org/0000-0002-5738-9390","contributorId":220,"corporation":false,"usgs":true,"family":"Gill","given":"Amy","email":"acgill@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":344559,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":9001468,"text":"ofr20111018 - 2011 - Preliminary assessment of chloride concentrations, loads, and yields in selected watersheds along the Interstate 95 corridor, southeastern Connecticut, 2008-09","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"ofr20111018","displayToPublicDate":"2011-04-22T00:00:00","publicationYear":"2011","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":"2011-1018","title":"Preliminary assessment of chloride concentrations, loads, and yields in selected watersheds along the Interstate 95 corridor, southeastern Connecticut, 2008-09","docAbstract":"Water-quality conditions were assessed to evaluate potential effects of road-deicer applications on stream-water quality in four watersheds along Interstate 95 (I-95) in southeastern Connecticut from November 1, 2008, through September 30, 2009. This preliminary study is part of a four-year cooperative study by the U.S. Geological Survey (USGS), the Federal Highway Administration (FHWA), and the Connecticut Department of Transportation (ConnDOT). Streamflow and water quality were studied at four watersheds?Four Mile River, Oil Mill Brook, Stony Brook, and Jordan Brook. Water-quality samples were collected and specific conductance was measured continuously at paired water-quality monitoring sites upstream and downstream from I-95. Specific conductance values were related to chloride (Cl) concentrations to assist in determining the effects of road-deicing operations on the levels of Cl in the streams. Streamflow and water-quality data were compared with weather data and with the timing, amount, and composition of deicers applied to state highways. Grab samples were collected during winter stormwater-runoff events, such as winter storms or periods of rain or warm temperatures in which melting takes place, and periodically during the spring and summer. Cl concentrations at the eight water-quality monitoring sites were well below the U.S. Environmental Protection Agency (USEPA) recommended chronic and acute Cl toxicity criteria of 230 and 860 milligrams per liter (mg/L), respectively. Specific conductance and estimated Cl concentrations in streams, particularly at sites downstream from I-95, peaked during discharge events in the winter and early spring as a result of deicers applied to roads and washed off by stormwater or meltwater. During winter storms, deicing activities, or subsequent periods of melting, specific conductance and estimated Cl concentrations peaked as high as 703 microsiemens per centimeter (?S/cm) and 160 mg/L at the downstream sites. During most of the spring and summer, specific conductance and estimated Cl concentrations decreased during discharge events because the low-ionic strength of stormwater had a diluting effect on stream-water quality. However, peaks in specific conductance and estimated Cl concentrations at Jordan Brook and Stony Brook corresponded to peaks in streamflow well after winter snow or ice events; these delayed peaks in Cl concentration likely resulted from deicing salts that remained in melting snow piles and (or) that were flushed from soils and shallow groundwater, then discharged downstream. Cl loads in streams generally were highest in the winter and early spring. The estimated load for the period of record at the four monitoring sites downstream from I-95 ranged from 0.33 ton per day (ton/d) at the Stony Brook watershed to 0.59 ton/d at the Jordan Brook watershed. The Cl yields ranged from 0.07 ton per day per square mile (ton/d/)mi2) at Oil Mill Brook, one of the least developed watersheds, to 0.21 (ton/d)/mi2) at Jordan Brook, the watershed with the highest percentage of urban development and impervious surfaces. The median estimates of Cl load from atmospheric deposition ranged from 11 to 19 tons, and contributed 4.3 to 7.1 percent of the Cl load in streamflow from the watershed areas. A comparison of the Cl load input and output estimates indicates that less Cl is leaving the watersheds than is entering through atmospheric deposition and application of deicers. The lag time between introduction of Cl to the watershed and transport to the stream, and uncertainty in the load estimates may be the reasons for this discrepancy. In addition, estimates of direct infiltration of Cl to groundwater from atmospheric deposition, deicer applications, and septic-tank drainfields to groundwater were outside the scope of the November 2008 to September 2009 assessment. However, increased concentrations of ions were observed between upstream and downstream sites and could result from deicer appli","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111018","collaboration":"Prepared in cooperation with the Federal Highway Administration and the Connecticut Department of Transportation","usgsCitation":"Brown, C., Mullaney, J.R., Morrison, J., and Mondazzi, R., 2011, Preliminary assessment of chloride concentrations, loads, and yields in selected watersheds along the Interstate 95 corridor, southeastern Connecticut, 2008-09: U.S. Geological Survey Open-File Report 2011-1018, vi, 41 p., https://doi.org/10.3133/ofr20111018.","productDescription":"vi, 41 p.","numberOfPages":"52","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":116105,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1018.gif"},{"id":19260,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1018","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Connecticut State Plane Feet","country":"United States","state":"Connecticut","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.5,41 ], [ -73.5,42 ], [ -71,42 ], [ -71,41 ], [ -73.5,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67ca03","contributors":{"authors":[{"text":"Brown, Craig J.","contributorId":104450,"corporation":false,"usgs":true,"family":"Brown","given":"Craig J.","affiliations":[],"preferred":false,"id":344558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mullaney, John R. 0000-0003-4936-5046 jmullane@usgs.gov","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":1957,"corporation":false,"usgs":true,"family":"Mullaney","given":"John","email":"jmullane@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morrison, Jonathan 0000-0002-1756-4609 jmorriso@usgs.gov","orcid":"https://orcid.org/0000-0002-1756-4609","contributorId":2274,"corporation":false,"usgs":true,"family":"Morrison","given":"Jonathan","email":"jmorriso@usgs.gov","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mondazzi, Remo","contributorId":101227,"corporation":false,"usgs":true,"family":"Mondazzi","given":"Remo","affiliations":[],"preferred":false,"id":344557,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":99211,"text":"sim3124 - 2011 - Onshore and offshore geologic map of the Coal Oil Point area, southern California","interactions":[],"lastModifiedDate":"2022-04-15T18:25:48.501426","indexId":"sim3124","displayToPublicDate":"2011-04-22T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3124","title":"Onshore and offshore geologic map of the Coal Oil Point area, southern California","docAbstract":"Geologic maps that span the shoreline and include both onshore and offshore areas are potentially valuable tools that can lead to a more in depth understanding of coastal environments. Such maps can contribute to the understanding of shoreline change, geologic hazards, both offshore and along-shore sediment and pollutant transport. They are also useful in assessing geologic and biologic resources. Several intermediate-scale (1:100,000) geologic maps that include both onshore and offshore areas (herein called onshore-offshore geologic maps) have been produced of areas along the California coast (see Saucedo and others, 2003; Kennedy and others, 2007; Kennedy and Tan, 2008), but few large-scale (1:24,000) maps have been produced that can address local coastal issues.\r\n\r\nA cooperative project between Federal and State agencies and universities has produced an onshore-offshore geologic map at 1:24,000 scale of the Coal Oil Point area and part of the Santa Barbara Channel, southern California (fig. 1). As part of the project, the U.S. Geological Survey (USGS) and the California Geological Survey (CGS) hosted a workshop (May 2nd and 3rd, 2007) for producers and users of coastal map products (see list of participants) to develop a consensus on the content and format of onshore-offshore geologic maps (and accompanying GIS files) so that they have relevance for coastal-zone management. The USGS and CGS are working to develop coastal maps that combine geospatial information from offshore and onshore and serve as an important tool for addressing a broad range of coastal-zone management issues. The workshop was divided into sessions for presentations and discussion of bathymetry and topography, geology, and habitat products and needs of end users. During the workshop, participants reviewed existing maps and discussed their merits and shortcomings.\r\n\r\nThis report addresses a number of items discussed in the workshop and details the onshore and offshore geologic map of the Coal Oil Point area. Results from this report directly address issues raised in the California Ocean Protection Act (COPA) Five Year Strategic Plan. For example, one of the guiding principles of the COPA five-year strategic plan is to 'Recognize the interconnectedness of the land and the sea, supporting sustainable uses of the coast and ensuring the health of ecosystems.' Results from this USGS report directly connect the land and sea with the creation of both a seamless onshore and offshore digital terrain model (DTM) and geologic map. One of the priority goals (and objectives) of the COPA plan is to 'monitor and map the ocean environment to provide data about conditions and trends.' Maps within this report provide land and sea geologic information for mapping and monitoring nearshore sediment processes, pollution transport, and sea-level rise and fall.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim3124","usgsCitation":"Dartnell, P., Conrad, J.E., Stanley, R.G., and Guy R. Cochrane, G.R., 2011, Onshore and offshore geologic map of the Coal Oil Point area, southern California: U.S. Geological Survey Scientific Investigations Map 3124, Pamphlet: 18 p.; 1 Plate: 42.00 × 36.00 inches; Metadata; Data Folder, https://doi.org/10.3133/sim3124.","productDescription":"Pamphlet: 18 p.; 1 Plate: 42.00 × 36.00 inches; Metadata; Data Folder","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":398850,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95158.htm"},{"id":116107,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3124.gif"},{"id":14624,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3124/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","country":"United States","state":"California","otherGeospatial":"Coal Oil Point area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.97207641601562,\n              34.28785723534703\n            ],\n            [\n              -119.794921875,\n              34.28785723534703\n            ],\n            [\n              -119.794921875,\n              34.50316152428561\n            ],\n            [\n              -119.97207641601562,\n              34.50316152428561\n            ],\n            [\n              -119.97207641601562,\n              34.28785723534703\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af3e4b07f02db6919cb","contributors":{"authors":[{"text":"Dartnell, Pete","contributorId":33412,"corporation":false,"usgs":true,"family":"Dartnell","given":"Pete","email":"","affiliations":[],"preferred":false,"id":307785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":307784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":307783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guy R. Cochrane, Guy R.","contributorId":40335,"corporation":false,"usgs":true,"family":"Guy R. Cochrane","given":"Guy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":307786,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":99212,"text":"ofr20111099 - 2011 - 2010 Petroleum resource assessment of the National Petroleum Reserve in Alaska (NPRA): GIS play maps","interactions":[{"subject":{"id":50562,"text":"ofr02439 - 2002 - U.S. Geological Survey 2002 petroleum resource assessment of the National Petroleum Reserve in Alaska (NPRA): GIS play maps","indexId":"ofr02439","publicationYear":"2002","noYear":false,"title":"U.S. Geological Survey 2002 petroleum resource assessment of the National Petroleum Reserve in Alaska (NPRA): GIS play maps"},"predicate":"SUPERSEDED_BY","object":{"id":99212,"text":"ofr20111099 - 2011 - 2010 Petroleum resource assessment of the National Petroleum Reserve in Alaska (NPRA): GIS play maps","indexId":"ofr20111099","publicationYear":"2011","noYear":false,"title":"2010 Petroleum resource assessment of the National Petroleum Reserve in Alaska (NPRA): GIS play maps"},"id":1}],"lastModifiedDate":"2021-11-18T19:11:40.593436","indexId":"ofr20111099","displayToPublicDate":"2011-04-22T00:00:00","publicationYear":"2011","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":"2011-1099","title":"2010 Petroleum resource assessment of the National Petroleum Reserve in Alaska (NPRA): GIS play maps","docAbstract":"<p>This report provides digital geographic information systems (GIS) files of maps for each of the 24 plays considered in the U.S. Geological Survey (USGS) 2010 updated petroleum resource assessment of the National Petroleum Reserve in Alaska (NPRA) (Houseknecht and others, 2010). These are the sample plays evaluated in a previous USGS assessment of the NPRA (Bird and Houseknecht, 2002a), maps of which were released in pdf format (Bird and Houseknecht, 2002b).</p><p>The 2010 updated assessment of the NPRA evaluated each of the previously used 24 plays based on new geologic data available from exploration activities and scientific research. Quantitative assessments were revised for 11 plays, and no revisions were made for 9 plays. Estimates of the volume of technically recoverable, undiscovered oil, and nonassociated gas resources in these 20 plays are reported elsewhere (Houseknecht and others, 2010). Four plays quantitatively assessed in 2002 were eliminated from quantitative assessment for reasons explained by Houseknecht and others (2010).</p><p>The NPRA assessment study area includes Federal and native onshore land and adjacent State offshore areas. A map showing the areal extent of each play was prepared by USGS geologists as a preliminary step in the assessment process. Boundaries were drawn on the basis of a variety of information, including seismic reflection data, results of exploration drilling, and regional patterns of rock properties. Play boundary polygons were captured by digitizing the play maps prepared by USGS geologists.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111099","usgsCitation":"Garrity, C.P., Houseknecht, D.W., and Bird, K.J., 2011, 2010 Petroleum resource assessment of the National Petroleum Reserve in Alaska (NPRA): GIS play maps: U.S. Geological Survey Open-File Report 2011-1099, 14 Plates: 9.15 × 8.04 inches; GIS Data; Readme; Metadata, https://doi.org/10.3133/ofr20111099.","productDescription":"14 Plates: 9.15 × 8.04 inches; GIS Data; Readme; Metadata","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":360509,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2011/1099/pdf/USGS_OFR_2011_1099.pdf","text":"Play Maps","linkFileType":{"id":1,"text":"pdf"}},{"id":116110,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1099.bmp"},{"id":360510,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2011/1099/ReadMe.txt","linkFileType":{"id":2,"text":"txt"}},{"id":360511,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2011/1099/Metadata_USGS_OFR_2011_1099.htm","linkFileType":{"id":5,"text":"html"}},{"id":14625,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1099/","linkFileType":{"id":5,"text":"html"}},{"id":360508,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2011/1099/USGS_OFR_2011_1099.zip","linkFileType":{"id":6,"text":"zip"}},{"id":391831,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95150.htm"}],"country":"United States","state":"Alaska","otherGeospatial":"National Petroleum Reserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -162.0117,\n              69.0847\n            ],\n            [\n              -150.86,\n              69.0847\n            ],\n            [\n              -150.86,\n              70.6167\n            ],\n            [\n              -162.0117,\n              70.6167\n            ],\n            [\n              -162.0117,\n              69.0847\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4928e4b0b290850eeec1","contributors":{"authors":[{"text":"Garrity, Christopher P. 0000-0002-5565-1818 cgarrity@usgs.gov","orcid":"https://orcid.org/0000-0002-5565-1818","contributorId":644,"corporation":false,"usgs":true,"family":"Garrity","given":"Christopher","email":"cgarrity@usgs.gov","middleInitial":"P.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":307787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":307788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bird, Kenneth J. kbird@usgs.gov","contributorId":1015,"corporation":false,"usgs":true,"family":"Bird","given":"Kenneth","email":"kbird@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":307789,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":99214,"text":"ofr20111057 - 2011 - U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center-fiscal year 2010 annual report","interactions":[],"lastModifiedDate":"2012-02-02T00:15:50","indexId":"ofr20111057","displayToPublicDate":"2011-04-22T00:00:00","publicationYear":"2011","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":"2011-1057","title":"U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center-fiscal year 2010 annual report","docAbstract":"The Earth Resources Observation and Science (EROS) Center is a U.S. Geological Survey (USGS) facility focused on providing science and imagery to better understand our Earth. The work of the Center is shaped by the earth sciences, the missions of our stakeholders, and implemented through strong program and project management, and application of state-of-the-art information technologies. Fundamentally, EROS contributes to the understanding of a changing Earth through 'research to operations' activities that include developing, implementing, and operating remote-sensing-based terrestrial monitoring capabilities needed to address interdisciplinary science and applications objectives at all levels-both nationally and internationally.\r\n\r\nThe Center's programs and projects continually strive to meet, and where possible exceed, the changing needs of the USGS, the Department of the Interior, our Nation, and international constituents. The Center's multidisciplinary staff uses their unique expertise in remote sensing science and technologies to conduct basic and applied research, data acquisition, systems engineering, information access and management, and archive preservation to address the Nation's most critical needs. Of particular note is the role of EROS as the primary provider of Landsat data, the longest comprehensive global land Earth observation record ever collected.\r\n\r\nThis report is intended to provide an overview of the scientific and engineering achievements and illustrate the range and scope of the activities and accomplishments at EROS throughout fiscal year (FY) 2010. Additional information concerning the scientific, engineering, and operational achievements can be obtained from the scientific papers and other documents published by EROS staff or by visiting our web site at http://eros.usgs.gov.\r\n\r\nWe welcome comments and follow-up questions on any aspect of this Annual Report and invite any of our customers or partners to contact us at their convenience. To communicate with us, or for more information about EROS, contact: Communications and Outreach, USGS EROS Center, 47914 252nd Street, Sioux Falls, South Dakota 57198, jsnelson@usgs.gov, http://eros.usgs.gov/.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111057","usgsCitation":"Nelson, J.S., 2011, U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center-fiscal year 2010 annual report: U.S. Geological Survey Open-File Report 2011-1057, xx, 118 p., https://doi.org/10.3133/ofr20111057.","productDescription":"xx, 118 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":116111,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1057.jpg"},{"id":14627,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1057/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2ce4b07f02db613a7a","contributors":{"authors":[{"text":"Nelson, Janice S. jsnelson@usgs.gov","contributorId":113,"corporation":false,"usgs":true,"family":"Nelson","given":"Janice","email":"jsnelson@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":307793,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":9001039,"text":"sir20115040 - 2011 - Relation between flows and dissolved oxygen in the Roanoke River between Roanoke Rapids Dam and Jamesville, North Carolina, 2005-2009","interactions":[{"subject":{"id":98024,"text":"sir20095238 - 2009 - Relation Between Flow and Dissolved Oxygen in the Roanoke River Between Roanoke Rapids and Jamesville, North Carolina, 1998-2005","indexId":"sir20095238","publicationYear":"2009","noYear":false,"title":"Relation Between Flow and Dissolved Oxygen in the Roanoke River Between Roanoke Rapids and Jamesville, North Carolina, 1998-2005"},"predicate":"SUPERSEDED_BY","object":{"id":9001039,"text":"sir20115040 - 2011 - Relation between flows and dissolved oxygen in the Roanoke River between Roanoke Rapids Dam and Jamesville, North Carolina, 2005-2009","indexId":"sir20115040","publicationYear":"2011","noYear":false,"title":"Relation between flows and dissolved oxygen in the Roanoke River between Roanoke Rapids Dam and Jamesville, North Carolina, 2005-2009"},"id":1}],"lastModifiedDate":"2017-01-17T10:53:11","indexId":"sir20115040","displayToPublicDate":"2011-04-21T00:00:00","publicationYear":"2011","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":"2011-5040","title":"Relation between flows and dissolved oxygen in the Roanoke River between Roanoke Rapids Dam and Jamesville, North Carolina, 2005-2009","docAbstract":"The relation between dam releases and dissolved-oxygen concentration, saturation and deficit, downstream from Roanoke Rapids Dam in North Carolina was evaluated from 2005 to 2009. Dissolved-oxygen data collected at four water-quality monitoring stations downstream from Roanoke Rapids Dam were used to determine if any statistical relations or discernible quantitative or qualitative patterns linked Roanoke River in-stream dissolved-oxygen levels to hydropower peaking at Roanoke Rapids Dam. Unregulated tributaries that inundate and drain portions of the Roanoke River flood plain are crucial in relation to in-stream dissolved oxygen. Hydropower peaking from 2005 to 2009 both inundated and drained portions of the flood plain independently of large storms. The effects of these changes in flow on dissolved-oxygen dynamics are difficult to isolate, however, because of (1) the variable travel time for water to move down the 112-mile reach of the Roanoke River from Roanoke Rapids Dam to Jamesville, North Carolina, and (2) the range of in-situ conditions, particularly inundation history and water temperature, in the flood plain. Statistical testing was conducted on the travel-time-adjusted hourly data measured at each of the four water-quality stations between May and November 2005-2009 when the weekly mean flow was 5,000-12,000 cubic feet per second (a range when Roanoke Rapids Dam operations likely affect tributary and flood-plain water levels). Results of this statistical testing indicate that at the 99-percent confidence interval dissolved-oxygen levels downstream from Roanoke Rapids Dam were lower during peaking weeks than during non-peaking weeks in three of the five years and higher in one of the five years; no data were available for weeks with peaking in 2007. For the four years of statistically significant differences in dissolved oxygen between peaking and non-peaking weeks, three of the years had statistically signficant differences in water temperature. Years with higher water temperature during peaking had lower dissolved oxygen during peaking. Only 2009 had no constistent statistically significant water-temperature difference at all sites, and dissolved-oxygen levels downstream from Roanoke Rapids Dam during peaking weeks that year were lower than during non-peaking weeks. Between 2005 and 2009, daily mean dissolved-oxygen concentrations below the State standard occurred during only 1 of the 17 (6 percent) peaking weeks, with no occurrence of instantaneous dissolved-oxygen concentrations below the State standard. This occurrence was during a 9-day period in July 2005 when the daily maximum air temperatures approached or exceeded 100 degrees Fahrenheit, and the draining of the flood plains from peaking operations was followed by consecutive days of low flows.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115040","usgsCitation":"Wehmeyer, L.L., and Wagner, C., 2011, Relation between flows and dissolved oxygen in the Roanoke River between Roanoke Rapids Dam and Jamesville, North Carolina, 2005-2009: U.S. Geological Survey Scientific Investigations Report 2011-5040, vi, 29 p., https://doi.org/10.3133/sir20115040.","productDescription":"vi, 29 p.","additionalOnlineFiles":"N","temporalStart":"2005-05-01","temporalEnd":"2009-11-30","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":116828,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5040.jpg"},{"id":19228,"rank":200,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5040/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","country":"United States","state":"North Carolina","city":"Jamesville","otherGeospatial":"Roanoke Rapids Dam, Roanoke River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.5,35 ], [ -80.5,37.25 ], [ -76,37.25 ], [ -76,35 ], [ -80.5,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2ae4b07f02db6124bd","contributors":{"authors":[{"text":"Wehmeyer, Loren L.","contributorId":90412,"corporation":false,"usgs":true,"family":"Wehmeyer","given":"Loren","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":344430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Chad R. 0000-0002-9602-7413 cwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-7413","contributorId":1530,"corporation":false,"usgs":true,"family":"Wagner","given":"Chad R.","email":"cwagner@usgs.gov","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":344429,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":9001463,"text":"ds582 - 2011 - Archive of Digital Boomer Sub-bottom Data Collected During USGS Field Activities 97LCA01, 97LCA02, and 97LCA03, West-Central and East Coast Florida, February through July 1997","interactions":[],"lastModifiedDate":"2012-02-02T00:15:52","indexId":"ds582","displayToPublicDate":"2011-04-20T00:00:00","publicationYear":"2011","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":"582","title":"Archive of Digital Boomer Sub-bottom Data Collected During USGS Field Activities 97LCA01, 97LCA02, and 97LCA03, West-Central and East Coast Florida, February through July 1997","docAbstract":"From February through July of 1997, the U.S. Geological Survey (USGS) conducted geophysical surveys of several Florida water bodies as part of the USGS Lakes and Coastal Aquifers (LCA) study. These areas include Lakes Dosson, Halfmoon and Round in west-central Florida and Sebastian Inlet and Indian River Lagoon on the east coast of the State. Field activity 97LCA01 was conducted in cooperation with the Southwest Florida Water Management District (SWFWMD), and field activities 97LCA02 and 97LCA03 were conducted in cooperation with the St. Johns River Water Management District (SJRWMD). This report serves as an archive of unprocessed digital boomer sub-bottom data, trackline maps, navigation files, Geographic Information System (GIS) files, observer's logbook, and formal Federal Geographic Data Committee (FGDC) metadata. Filtered and gained (showing a relative increase in signal amplitude) digital images of the seismic profiles are also provided. Refer to the Acronyms page for expansions of acronyms and abbreviations used in this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds582","collaboration":"Funding for this study was provided by the USGS Water Resources Discipline (current name is the Water Mission Area), Coastal and Marine Geology Program, SWFWMD, and SJRWMD. This document was improved by the reviews of Rob Wertz (USGS) and Kyle Kelso (Jacobs Technology Inc.) of the USGS - St. Petersburg, FL.","usgsCitation":"Forde, A.S., Dadisman, S.V., Metz, P.A., Tihansky, A.B., Davis, J.B., and Wiese, D.S., 2011, Archive of Digital Boomer Sub-bottom Data Collected During USGS Field Activities 97LCA01, 97LCA02, and 97LCA03, West-Central and East Coast Florida, February through July 1997: U.S. Geological Survey Data Series 582, HTML Page, https://doi.org/10.3133/ds582.","productDescription":"HTML Page","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1997-02-01","temporalEnd":"1997-07-31","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116727,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_582.bmp"},{"id":19256,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/582/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679dac","contributors":{"authors":[{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":344539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":344541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Metz, Patricia A. pmetz@usgs.gov","contributorId":1095,"corporation":false,"usgs":true,"family":"Metz","given":"Patricia","email":"pmetz@usgs.gov","middleInitial":"A.","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":344540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tihansky, Ann B. tihansky@usgs.gov","contributorId":2477,"corporation":false,"usgs":true,"family":"Tihansky","given":"Ann","email":"tihansky@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":344543,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Jeffrey B.","contributorId":50168,"corporation":false,"usgs":true,"family":"Davis","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":344544,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":344542,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}