{"pageNumber":"628","pageRowStart":"15675","pageSize":"25","recordCount":46883,"records":[{"id":70039519,"text":"ds680 - 2012 - Geospatial datasets for watershed delineation and characterization used in the Hawaii StreamStats web application","interactions":[],"lastModifiedDate":"2013-06-04T13:23:21","indexId":"ds680","displayToPublicDate":"2012-08-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"680","title":"Geospatial datasets for watershed delineation and characterization used in the Hawaii StreamStats web application","docAbstract":"The U.S. Geological Survey Hawaii StreamStats application uses an integrated suite of raster and vector geospatial datasets to delineate and characterize watersheds. The geospatial datasets used to delineate and characterize watersheds on the StreamStats website, and the methods used to develop the datasets are described in this report. The datasets for Hawaii were derived primarily from 10 meter resolution National Elevation Dataset (NED) elevation models, and the National Hydrography Dataset (NHD), using a set of procedures designed to enforce the drainage pattern from the NHD into the NED, resulting in an integrated suite of elevation-derived datasets. Additional sources of data used for computing basin characteristics include precipitation, land cover, soil permeability, and elevation-derivative datasets. The report also includes links for metadata and downloads of the geospatial datasets.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds680","collaboration":"Prepared in cooperation with the State of Hawaii Department of Transportation","usgsCitation":"Rea, A., and Skinner, K.D., 2012, Geospatial datasets for watershed delineation and characterization used in the Hawaii StreamStats web application: U.S. Geological Survey Data Series 680, iv, 12 p.; Meta Data Files ZIP, https://doi.org/10.3133/ds680.","productDescription":"iv, 12 p.; Meta Data Files ZIP","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":259526,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_680.jpg"},{"id":259522,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/680/","linkFileType":{"id":5,"text":"html"}},{"id":259523,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/680/pdf/ds680.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":273227,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds680_originaldata.xml"},{"id":273228,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds680_statewidelayers.xml"},{"id":273225,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds680_archydroglobal.xml"},{"id":273226,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds680_archydrohucs.xml"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -162,16.916666666666668 ], [ -162,23 ], [ -154.66666666666666,23 ], [ -154.66666666666666,16.916666666666668 ], [ -162,16.916666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a28ace4b0c8380cd5a2e0","contributors":{"authors":[{"text":"Rea, Alan","contributorId":41018,"corporation":false,"usgs":true,"family":"Rea","given":"Alan","affiliations":[],"preferred":false,"id":466415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skinner, Kenneth D. 0000-0003-1774-6565 kskinner@usgs.gov","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":1836,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","email":"kskinner@usgs.gov","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466414,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039529,"text":"sir20125111 - 2012 - Sediment loads in the Red River of the North and selected tributaries near Fargo, North Dakota, 2010--2011","interactions":[],"lastModifiedDate":"2017-10-14T11:26:46","indexId":"sir20125111","displayToPublicDate":"2012-08-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5111","title":"Sediment loads in the Red River of the North and selected tributaries near Fargo, North Dakota, 2010--2011","docAbstract":"Natural-resource agencies are concerned about possible geomorphic effects of a proposed diversion project to reduce the flood risk in the Fargo-Moorhead metropolitan area. The U.S. Geological Survey in cooperation with the U.S. Army Corps of Engineers collected data in the spring of 2010 and 2011, and from June to November 2011, during rainfall-runoff events and base-flow conditions to provide information on sediment transport. The data were used to examine sediment concentrations, loads, and particle-size distributions at nine selected sites in the Red River and its tributaries near the Fargo-Moorhead metropolitan area. Suspended-sediment concentration varied among sites in 2010 and 2011. The least suspended-sediment concentrations were measured at the Red River (site 1) and the Buffalo River (site 9), and the greatest concentrations were measured at the two Sheyenne River sites (sites 3 and 4). Estimated daily suspended-sediment loads were highly variable in 2010 and 2011 in the Red River and its tributaries, with the greatest loads occurring in the spring and the smallest loads occurring in the winter. For the Red River, daily suspended-sediment loads ranged from 26 to 3,500 tons per day at site 1 and from 30 to 9,010 tons per day at site 2. For the Sheyenne River, daily loads ranged from less than 10 to 10,200 tons per day at site 3 and from less than 10 to 4,530 tons per day at site 4. The mean daily load was 191 tons per day in 2010 and 377 tons per day in 2011 for the Maple River, and 610 tons per day in 2011 for the Wild Rice River (annual loads were not computed for 2010). For the three sites that were only sampled in 2011 (sites 7, 8 and 9), the mean daily suspended-sediment loads ranged from 40 tons per day at the Lower Branch Rush River (site 8) to 118 tons per day at the Buffalo River (site 9). For sites that had estimated loads in 2010 and 2011 (sites 1–5), estimated annual (March–November) suspended-sediment loads were greater in 2011 compared to 2010. In 2010, annual loads ranged from 68,650 tons per year at the Maple River (site 5) to 249,040 tons per year at the Sheyenne River (site 3). In 2011, when all nine sites were sampled, annual loads ranged from 8,716 tons per year at the Lower Branch Rush River (site 8) to 552,832 tons per year at the Sheyenne River (site 3). With the exception of the Sheyenne River (site 4), the greatest monthly loads occurred in March for 2010, with as little as 27 percent (site 1) and as much as 42 percent (site 3) of the annual load occurring in March. For 2011, the greatest monthly loads occurred in April, ranging from 33 percent (site 1) to 63 percent (site 7) of the 2011 annual load. A relatively small amount of sediment was transported past the nine sites as bedload in 2010 and 2011. For most of the samples collected at the nine sites, the bedload composed less than 1 percent of the calculated daily total sediment load.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125111","usgsCitation":"Galloway, J.M., and Nustad, R.A., 2012, Sediment loads in the Red River of the North and selected tributaries near Fargo, North Dakota, 2010--2011: U.S. Geological Survey Scientific Investigations Report 2012-5111, iv, 46 p.; col. ill.; map (col.); Appendix, https://doi.org/10.3133/sir20125111.","productDescription":"iv, 46 p.; col. ill.; map (col.); Appendix","startPage":"i","endPage":"46","numberOfPages":"54","onlineOnly":"Y","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":259537,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5111.gif"},{"id":259535,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5111/","linkFileType":{"id":5,"text":"html"}},{"id":259536,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5111/sir12-5111.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"North Dakota","city":"Fargo","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8991e4b08c986b316e27","contributors":{"authors":[{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":466429,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039483,"text":"70039483 - 2012 - Multivariate statistical approach to estimate mixing proportions for unknown end members","interactions":[],"lastModifiedDate":"2017-10-14T11:28:37","indexId":"70039483","displayToPublicDate":"2012-08-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Multivariate statistical approach to estimate mixing proportions for unknown end members","docAbstract":"A multivariate statistical method is presented, which includes principal components analysis (PCA) and an end-member mixing model to estimate unknown end-member hydrochemical compositions and the relative mixing proportions of those end members in mixed waters. PCA, together with the Hotelling <i>T</i><sup>2</sup> statistic and a conceptual model of groundwater flow and mixing, was used in selecting samples that best approximate end members, which then were used as initial values in optimization of the end-member mixing model. This method was tested on controlled datasets (i.e., true values of estimates were known a priori) and found effective in estimating these end members and mixing proportions. The controlled datasets included synthetically generated hydrochemical data, synthetically generated mixing proportions, and laboratory analyses of sample mixtures, which were used in an evaluation of the effectiveness of this method for potential use in actual hydrological settings. For three different scenarios tested, correlation coefficients (<i>R</i><sup>2</sup>) for linear regression between the estimated and known values ranged from 0.968 to 0.993 for mixing proportions and from 0.839 to 0.998 for end-member compositions. The method also was applied to field data from a study of end-member mixing in groundwater as a field example and partial method validation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2012.06.037","usgsCitation":"Valder, J., Long, A.J., Davis, A.D., and Kenner, S.J., 2012, Multivariate statistical approach to estimate mixing proportions for unknown end members: Journal of Hydrology, v. 460-461, p. 65-76, https://doi.org/10.1016/j.jhydrol.2012.06.037.","productDescription":"12 p.","startPage":"65","endPage":"76","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":259510,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"460-461","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a60bce4b0c8380cd7164e","contributors":{"authors":[{"text":"Valder, Joshua F. 0000-0003-3733-8868 jvalder@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-8868","contributorId":1431,"corporation":false,"usgs":true,"family":"Valder","given":"Joshua F.","email":"jvalder@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":466340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Arden D.","contributorId":14680,"corporation":false,"usgs":true,"family":"Davis","given":"Arden","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":466342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kenner, Scott J.","contributorId":6472,"corporation":false,"usgs":true,"family":"Kenner","given":"Scott","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466341,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039438,"text":"70039438 - 2012 - Practical estimates of field-saturated hydraulic conductivity of bedrock outcrops using a modified bottomless bucket method","interactions":[],"lastModifiedDate":"2012-09-21T17:16:41","indexId":"70039438","displayToPublicDate":"2012-08-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Practical estimates of field-saturated hydraulic conductivity of bedrock outcrops using a modified bottomless bucket method","docAbstract":"The bottomless bucket (BB) approach (Nimmo et al., 2009a) is a cost-effective method for rapidly characterizing field-saturated hydraulic conductivity Kfs of soils and alluvial deposits. This practical approach is of particular value for quantifying infiltration rates in remote areas with limited accessibility. A similar approach for bedrock outcrops is also of great value for improving quantitative understanding of infiltration and recharge in rugged terrain. We develop a simple modification to the BB method for application to bedrock outcrops, which uses a non-toxic, quick-drying silicone gel to seal the BB to the bedrock. These modifications to the field method require only minor changes to the analytical solution for calculating Kfs on soils. We investigate the reproducibility of the method with laboratory experiments on a previously studied calcarenite rock and conduct a sensitivity analysis to quantify uncertainty in our predictions. We apply the BB method on both bedrock and soil for sites on Pahute Mesa, which is located in a remote area of the Nevada National Security Site. The bedrock BB tests may require monitoring over several hours to days, depending on infiltration rates, which necessitates a cover to prevent evaporative losses. Our field and laboratory results compare well to Kfs values inferred from independent reports, which suggests the modified BB method can provide useful estimates and facilitate simple hypothesis testing. The ease with which the bedrock BB method can be deployed should facilitate more rapid in-situ data collection than is possible with alternative methods for quantitative characterization of infiltration into bedrock.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012WR012053","usgsCitation":"Mirus, B.B., and Perkins, K.S., 2012, Practical estimates of field-saturated hydraulic conductivity of bedrock outcrops using a modified bottomless bucket method: Water Resources Research, v. 48, 6 p.; W09602, https://doi.org/10.1029/2012WR012053.","productDescription":"6 p.; W09602","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":259520,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259513,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012WR012053","linkFileType":{"id":5,"text":"html"}}],"volume":"48","noUsgsAuthors":false,"publicationDate":"2012-09-14","publicationStatus":"PW","scienceBaseUri":"505a80abe4b0c8380cd7b12c","contributors":{"authors":[{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":466235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perkins, Kim S.","contributorId":106963,"corporation":false,"usgs":true,"family":"Perkins","given":"Kim","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":466236,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039447,"text":"fs20123077 - 2012 - USGS Zebra Mussel Monitoring Program for north Texas","interactions":[],"lastModifiedDate":"2016-08-08T08:48:04","indexId":"fs20123077","displayToPublicDate":"2012-08-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3077","title":"USGS Zebra Mussel Monitoring Program for north Texas","docAbstract":"<p>The U.S. Geological Survey (USGS) Zebra Mussel Monitoring Program for north Texas provides early detection and monitoring of zebra mussels (<i>Dreissena polymorpha</i>) by using a holistic suite of detection methods. The program is designed to assess zebra mussel occurrence, distribution, and densities in north Texas waters by using four approaches: (1) SCUBA diving, (2) water-sample collection with plankton tow nets (followed by laboratory analyses), (3) artificial substrates, and (4) water-quality sampling. Data collected during this type of monitoring can assist rapid response efforts and can be used to quantify the economic and ecological effects of zebra mussels in the north Texas area. Monitoring under this program began in April 2010. The presence of large zebra mussel populations often causes undesirable economic and ecological effects, including damage to water-processing infrastructure and hydroelectric powerplants (with an estimated 10-year cost of $3.1 billion), displacement of native mussels, increases in concentrations of certain species of cyanobacteria, and increases in concentrations of geosmin (an organic compound that results in taste and odor issues in water). Since no large-scale, environmentally safe eradication method has been developed for zebra mussels, it is difficult to remove established populations. Broad physicochemical adaptability, prolific reproductive capacity, and rapid dispersal methods have enabled zebra mussels, within a period of about 20 years, to establish populations under differing environmental conditions across much of the eastern part of the United States. In Texas, the presence of zebra mussels was first confirmed in April 2009 in Lake Texoma in the Red River Basin along the Texas-Oklahoma border. They were most likely introduced into Lake Texoma through overland transport from an infested water body. Since then, the presence of zebra mussels has been reported in both the Red River and Washita River arms of Lake Texoma, in Sister Grove Creek, and in Ray Roberts Lake. Water managers tasked with supplying the 6.6 million residents of the Dallas-Fort Worth metropolitan area must ensure that the area receives a continuous supply of water that meets both the needs of the current (2012) and the projected (doubling in number by 2050) populations. This metropolitan area depends on surface water captured in area reservoirs, including those in the Trinity River Basin, for the primary source of drinking water. The presence of an established zebra mussel population in a reservoir in the Trinity River Basin could result in increased operations and maintenance costs for water resource managers and could potentially serve as a source population leading to further expansion of this aquatic nuisance species.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123077","collaboration":"Prepared in cooperation with North Texas Municipal Water District, Dallas Water Utilities, Greater Texoma Utility Authority, and City of Sherman Water Utilities","usgsCitation":"Churchill, C.J., and Baldys, S., 2012, USGS Zebra Mussel Monitoring Program for north Texas: U.S. Geological Survey Fact Sheet 2012-3077, 6 p., https://doi.org/10.3133/fs20123077.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":259508,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3077.bmp"},{"id":259501,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3077/","linkFileType":{"id":5,"text":"html"}},{"id":259500,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3077/pdf/fs2012-3077.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator, Zone 14","datum":"North American Datum of 1983","country":"United States","state":"Oklahoma County, Texas County","otherGeospatial":"Lake Texoma, Red River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98,31.75 ], [ -98,34.25 ], [ -95,34.25 ], [ -95,31.75 ], [ -98,31.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbbbce4b08c986b3287d4","contributors":{"authors":[{"text":"Churchill, Christopher J.","contributorId":42317,"corporation":false,"usgs":true,"family":"Churchill","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldys, Stanley sbaldys@usgs.gov","contributorId":3366,"corporation":false,"usgs":true,"family":"Baldys","given":"Stanley","email":"sbaldys@usgs.gov","affiliations":[],"preferred":true,"id":466247,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039482,"text":"sim3220 - 2012 - Flood-inundation maps for Sweetwater Creek from above the confluence of Powder Springs Creek to the Interstate 20 bridge, Cobb and Douglas Counties, Georgia","interactions":[],"lastModifiedDate":"2017-01-31T08:37:59","indexId":"sim3220","displayToPublicDate":"2012-08-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3220","title":"Flood-inundation maps for Sweetwater Creek from above the confluence of Powder Springs Creek to the Interstate 20 bridge, Cobb and Douglas Counties, Georgia","docAbstract":"Digital flood-inundation maps for a 10.5-mile reach of Sweetwater Creek, from about 1,800 feet above the confluence of Powder Springs Creek to about 160 feet below the Interstate 20 bridge, were developed by the U.S. Geological Survey (USGS) in cooperation with Cobb County, Georgia. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at Sweetwater Creek near Austell, Georgia (02337000). Current stage at this USGS streamgage may be obtained at http://waterdata.usgs.gov/ and can be used in conjunction with these maps to estimate near real-time areas of inundation. The National Weather Service (NWS) is incorporating results from this study into the Advanced Hydrologic Prediction Service (AHPS) flood-warning system (http://water.weather.gov/ahps/). The NWS forecasts flood hydrographs at many places that commonly are collocated at USGS streamgages. The forecasted peak-stage information for the USGS streamgage at Sweetwater Creek near Austell (02337000), which is available through the AHPS Web site, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. A one-dimensional step-backwater model was developed using the U.S. Army Corps of Engineers Hydrologic Engineering Centers River Analysis System (HEC&ndash;RAS) software for Sweetwater Creek and was used to compute flood profiles for a 10.5-mile reach of the creek. The model was calibrated using the most current stage-discharge relations at the Sweetwater Creek near Austell streamgage (02337000), as well as high-water marks collected during annual peak-flow events in 1982 and 2009. The hydraulic model was then used to determine 21 water-surface profiles for flood stages at the Sweetwater Creek streamgage at 1-foot intervals referenced to the streamgage datum and ranging from just above bankfull stage (12.0 feet) to approximately 1.2 feet above the highest recorded water level at the streamgage (32.0 feet). The simulated water-surface profiles were then combined with a geographic information system digital elevation model&mdash;derived from contour data (8-foot horizontal resolution), in Cobb County, and USGS National Elevation Dataset (31-foot horizontal resolution), in Douglas County&mdash;to delineate the area flooded for each 1-foot increment of stream stage. The availability of these maps, when combined with real-time information regarding current stage from USGS streamgages and forecasted stream stages from the NWS, provides emergency management personnel and residents with critical information during flood-response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3220","collaboration":"Prepared in cooperation with Cobb County, Georgia","usgsCitation":"Musser, J.W., 2012, Flood-inundation maps for Sweetwater Creek from above the confluence of Powder Springs Creek to the Interstate 20 bridge, Cobb and Douglas Counties, Georgia: U.S. Geological Survey Scientific Investigations Map 3220, v, 10 p.; maps (col.); PDF and JPG Downloads of Sheets 1-21: 27 x 36 inches; Downloads Directory, https://doi.org/10.3133/sim3220.","productDescription":"v, 10 p.; maps (col.); PDF and JPG Downloads of Sheets 1-21: 27 x 36 inches; Downloads Directory","startPage":"i","endPage":"10","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":259473,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3220.jpg"},{"id":259462,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3220/","linkFileType":{"id":5,"text":"html"}},{"id":259463,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3220/pdf/sim3220.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Georgia","county":"Cobb County, Douglas County","city":"Austell","otherGeospatial":"Sweetwater 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,{"id":70039485,"text":"ofr20121087 - 2012 - Seismic hazard of American Samoa and neighboring South Pacific Islands--methods, data, parameters, and results","interactions":[],"lastModifiedDate":"2012-08-08T01:02:14","indexId":"ofr20121087","displayToPublicDate":"2012-08-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1087","title":"Seismic hazard of American Samoa and neighboring South Pacific Islands--methods, data, parameters, and results","docAbstract":"American Samoa and the neighboring islands of the South Pacific lie near active tectonic-plate boundaries that host many large earthquakes which can result in strong earthquake shaking and tsunamis. To mitigate earthquake risks from future ground shaking, the Federal Emergency Management Agency requested that the U.S. Geological Survey prepare seismic hazard maps that can be applied in building-design criteria. This Open-File Report describes the data, methods, and parameters used to calculate the seismic shaking hazard as well as the output hazard maps, curves, and deaggregation (disaggregation) information needed for building design. Spectral acceleration hazard for 1 Hertz having a 2-percent probability of exceedance on a firm rock site condition (Vs30=760 meters per second) is 0.12 acceleration of gravity (1 second, 1 Hertz) and 0.32 acceleration of gravity (0.2 seconds, 5 Hertz) on American Samoa, 0.72 acceleration of gravity (1 Hertz) and 2.54 acceleration of gravity (5 Hertz) on Tonga, 0.15 acceleration of gravity (1 Hertz) and 0.55 acceleration of gravity (5 Hertz) on Fiji, and 0.89 acceleration of gravity (1 Hertz) and 2.77 acceleration of gravity (5 Hertz) on the Vanuatu Islands.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121087","usgsCitation":"Petersen, M.D., Harmsen, S., Rukstales, K.S., Mueller, C.S., McNamara, D.E., Luco, N., and Walling, M., 2012, Seismic hazard of American Samoa and neighboring South Pacific Islands--methods, data, parameters, and results: U.S. Geological Survey Open-File Report 2012-1087, v, 98 p.; col. ill.; maps (col.), https://doi.org/10.3133/ofr20121087.","productDescription":"v, 98 p.; col. ill.; maps (col.)","startPage":"i","endPage":"98","numberOfPages":"103","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":259491,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1087.gif"},{"id":259474,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1087/","linkFileType":{"id":5,"text":"html"}},{"id":259475,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1087/OF12-1087.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"American Samoa","otherGeospatial":"South Pacific Islands","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8b1de4b08c986b3175e0","contributors":{"authors":[{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":466347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harmsen, Stephen C. harmsen@usgs.gov","contributorId":1795,"corporation":false,"usgs":true,"family":"Harmsen","given":"Stephen C.","email":"harmsen@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":466349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rukstales, Kenneth S. 0000-0003-2818-078X rukstales@usgs.gov","orcid":"https://orcid.org/0000-0003-2818-078X","contributorId":775,"corporation":false,"usgs":true,"family":"Rukstales","given":"Kenneth","email":"rukstales@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":466345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueller, Charles S. 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":955,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":466346,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":466344,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luco, Nicolas 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":1188,"corporation":false,"usgs":true,"family":"Luco","given":"Nicolas","email":"nluco@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":466348,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walling, Melanie","contributorId":69831,"corporation":false,"usgs":true,"family":"Walling","given":"Melanie","email":"","affiliations":[],"preferred":false,"id":466350,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70039463,"text":"ofr20121161 - 2012 - Modeling of depth to base of Last Glacial Maximum and seafloor sediment thickness for the California State Waters Map Series, eastern Santa Barbara Channel, California","interactions":[],"lastModifiedDate":"2012-08-09T01:02:14","indexId":"ofr20121161","displayToPublicDate":"2012-08-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1161","title":"Modeling of depth to base of Last Glacial Maximum and seafloor sediment thickness for the California State Waters Map Series, eastern Santa Barbara Channel, California","docAbstract":"Models of the depth to the base of Last Glacial Maximum and sediment thickness over the base of Last Glacial Maximum for the eastern Santa Barbara Channel are a key part of the maps of shallow subsurface geology and structure for offshore Refugio to Hueneme Canyon, California, in the California State Waters Map Series. A satisfactory interpolation of the two datasets that accounted for regional geologic structure was developed using geographic information systems modeling and graphics software tools. Regional sediment volumes were determined from the model. Source data files suitable for geographic information systems mapping applications are provided.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121161","usgsCitation":"Wong, F.L., Phillips, E., Johnson, S.Y., and Sliter, R.W., 2012, Modeling of depth to base of Last Glacial Maximum and seafloor sediment thickness for the California State Waters Map Series, eastern Santa Barbara Channel, California: U.S. Geological Survey Open-File Report 2012-1161, v, 16 p.; col. ill.; maps col.; GIS Data, https://doi.org/10.3133/ofr20121161.","productDescription":"v, 16 p.; col. ill.; maps col.; GIS Data","startPage":"i","endPage":"16","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":259488,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1161.gif"},{"id":259476,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1161/","linkFileType":{"id":5,"text":"html"}},{"id":259477,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1161/of2012-1161.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Channel","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.206232,34.027787 ], [ -120.206232,34.492447 ], [ -119.123028,34.492447 ], [ -119.123028,34.027787 ], [ -120.206232,34.027787 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c12e4b0c8380cd6f9eb","contributors":{"authors":[{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Eleyne L.","contributorId":104289,"corporation":false,"usgs":true,"family":"Phillips","given":"Eleyne L.","affiliations":[],"preferred":false,"id":466294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sliter, Ray W. 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":1992,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466292,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039473,"text":"ofr20121065 - 2012 - A multiple-point geostatistical method for characterizing uncertainty of subsurface alluvial units and its effects on flow and transport","interactions":[],"lastModifiedDate":"2012-08-08T01:02:14","indexId":"ofr20121065","displayToPublicDate":"2012-08-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1065","title":"A multiple-point geostatistical method for characterizing uncertainty of subsurface alluvial units and its effects on flow and transport","docAbstract":"This report provides a proof-of-concept to demonstrate the potential application of multiple-point geostatistics for characterizing geologic heterogeneity and its effect on flow and transport simulation. The study presented in this report is the result of collaboration between the U.S. Geological Survey (USGS) and Stanford University. This collaboration focused on improving the characterization of alluvial deposits by incorporating prior knowledge of geologic structure and estimating the uncertainty of the modeled geologic units. In this study, geologic heterogeneity of alluvial units is characterized as a set of stochastic realizations, and uncertainty is indicated by variability in the results of flow and transport simulations for this set of realizations. This approach is tested on a hypothetical geologic scenario developed using data from the alluvial deposits in Yucca Flat, Nevada. Yucca Flat was chosen as a data source for this test case because it includes both complex geologic and hydrologic characteristics and also contains a substantial amount of both surface and subsurface geologic data. Multiple-point geostatistics is used to model geologic heterogeneity in the subsurface. A three-dimensional (3D) model of spatial variability is developed by integrating alluvial units mapped at the surface with vertical drill-hole data. The SNESIM (Single Normal Equation Simulation) algorithm is used to represent geologic heterogeneity stochastically by generating 20 realizations, each of which represents an equally probable geologic scenario. A 3D numerical model is used to simulate groundwater flow and contaminant transport for each realization, producing a distribution of flow and transport responses to the geologic heterogeneity. From this distribution of flow and transport responses, the frequency of exceeding a given contaminant concentration threshold can be used as an indicator of uncertainty about the location of the contaminant plume boundary.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121065","collaboration":"Prepared in cooperation with the U.S. Department of Energy Office of Environmental Management, National Nuclear Security Administration, Nevada Site Office, under Interagency Agreement Department of Energy Agreement DOE DE-AI52-07NA28100","usgsCitation":"Cronkite-Ratcliff, C., Phelps, G.A., and Boucher, A., 2012, A multiple-point geostatistical method for characterizing uncertainty of subsurface alluvial units and its effects on flow and transport: U.S. Geological Survey Open-File Report 2012-1065, iii, 24 p.; col. ill.; maps (col.), https://doi.org/10.3133/ofr20121065.","productDescription":"iii, 24 p.; col. ill.; maps (col.)","startPage":"i","endPage":"24","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":259472,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1065.gif"},{"id":259458,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1065/of2012-1065.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259457,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1065/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e48fe4b0c8380cd46711","contributors":{"authors":[{"text":"Cronkite-Ratcliff, C.","contributorId":87408,"corporation":false,"usgs":true,"family":"Cronkite-Ratcliff","given":"C.","affiliations":[],"preferred":false,"id":466315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phelps, G. A.","contributorId":67107,"corporation":false,"usgs":true,"family":"Phelps","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":466314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boucher, A.","contributorId":107974,"corporation":false,"usgs":true,"family":"Boucher","given":"A.","email":"","affiliations":[],"preferred":false,"id":466316,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039477,"text":"ofr20121004 - 2012 - Sea-floor geology in central Rhode Island Sound south of Sakonnet Point, Rhode Island","interactions":[],"lastModifiedDate":"2012-08-08T01:02:14","indexId":"ofr20121004","displayToPublicDate":"2012-08-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1004","title":"Sea-floor geology in central Rhode Island Sound south of Sakonnet Point, Rhode Island","docAbstract":"The U.S. Geological Survey (USGS) and the National Oceanic and Atmospheric Administration (NOAA) are working together to study the sea floor along the northeastern coast of the United States. NOAA collected multibeam-echosounder data during hydrographic survey H11995 in a 63-square-kilometer area in central Rhode Island Sound, south of Sakonnet Point, Rhode Island. The USGS collected sediment samples, bottom video, and still photographs from 27 stations in this study area to verify an interpretation of the bathymetric data. Collected data are used to map areas of scour depressions and erosional outliers, megaripples, boulders, and relatively undisturbed modern marine sediments. In general, much of the eastern part of the study area, a submerged segment of the Harbor Hill-Roanoke Point-Charlestown-Buzzards Bay moraine, is bouldery. Bottom photography shows boulders are generally encrusted with hydrozoans, algae, and anemone. Scour depressions, presumably formed by long-period storm waves, and erosional outliers of Holocene sediments dominate the western part of the study area and several large areas in the east. The scour depressions tend to have coarser grained sediment than intervening erosional outliers. The coarseness likely creates turbulence in the water over these areas, which prevents fine-grained sediment deposition. Several small areas of megaripples are visible in the bathymetry data in the west. Other sandy areas are typically rippled, with burrows, worm tubes, and starfish present.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121004","usgsCitation":"McMullen, K., Poppe, L., Ackerman, S., Worley, C., Nadeau, M., and Van Hoy, M.V., 2012, Sea-floor geology in central Rhode Island Sound south of Sakonnet Point, Rhode Island: U.S. Geological Survey Open-File Report 2012-1004, HTML Document, https://doi.org/10.3133/ofr20121004.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":259471,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1004.png"},{"id":259459,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1004/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Rhode Island","otherGeospatial":"Rhode Island Sound","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-71.26580619466932, 41.297435949285784], [-71.19556111567424, 41.31782968189743], [-71.11867998082937, 41.335957444218685], [-71.11867998082937, 41.332558488783526], [-71.12709644190716, 41.31572556662802], [-71.12062224107808, 41.31410701642072], [-71.09553471286557, 41.29792151434809], [-71.24152794156043, 41.25389694871062], [-71.26580619466932, 41.297435949285784]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-71.26580619466932, 41.25389694871062, -71.09553471286557, 41.335957444218685], \"type\": \"Feature\", \"id\": \"3091970\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8808e4b08c986b31679d","contributors":{"authors":[{"text":"McMullen, K. Y.","contributorId":51857,"corporation":false,"usgs":true,"family":"McMullen","given":"K.","middleInitial":"Y.","affiliations":[],"preferred":false,"id":466322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poppe, L. J.","contributorId":72782,"corporation":false,"usgs":true,"family":"Poppe","given":"L.","middleInitial":"J.","affiliations":[],"preferred":false,"id":466324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, S. D.","contributorId":88843,"corporation":false,"usgs":true,"family":"Ackerman","given":"S.","middleInitial":"D.","affiliations":[],"preferred":false,"id":466325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Worley, C.R.","contributorId":43479,"corporation":false,"usgs":true,"family":"Worley","given":"C.R.","email":"","affiliations":[],"preferred":false,"id":466320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nadeau, M.A.","contributorId":47901,"corporation":false,"usgs":true,"family":"Nadeau","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":466321,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Hoy, M. V.","contributorId":69406,"corporation":false,"usgs":true,"family":"Van Hoy","given":"M.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":466323,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039479,"text":"ofr20121005 - 2012 - Sea-floor character and sedimentary processes of Block Island Sound, offshore Rhode Island","interactions":[],"lastModifiedDate":"2014-08-14T09:38:57","indexId":"ofr20121005","displayToPublicDate":"2012-08-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1005","title":"Sea-floor character and sedimentary processes of Block Island Sound, offshore Rhode Island","docAbstract":"Gridded multibeam bathymetry covers approximately 634 square kilometers of sea floor in Block Island Sound. Although originally collected for charting purposes during National Oceanic and Atmospheric Administration hydrographic surveys H12009, H12010, H12011, H12015, H12033, H12137, and H12139, these combined acoustic data and the sea-floor sediment sampling and photography stations subsequently occupied to verify them during U.S. Geological Survey cruise 2011-006-FA (1) show the composition and terrain of the seabed, (2) provide information on sediment transport and benthic habitat, and (3) are part of an expanding series of studies that provide a fundamental framework for research and management activities (for example, wind farms and fisheries) along the Rhode Island inner continental shelf.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121005","usgsCitation":"Poppe, L., Danforth, W.W., McMullen, K., Blankenship, M., Glomb, K., Wright, D., and Smith, S.M., 2012, Sea-floor character and sedimentary processes of Block Island Sound, offshore Rhode Island (Originally posted August 7, 2012; Revised August 14, 2014, version 1.1): U.S. Geological Survey Open-File Report 2012-1005, HTML Document, https://doi.org/10.3133/ofr20121005.","productDescription":"HTML Document","onlineOnly":"Y","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":259468,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1005.png"},{"id":259460,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1005/","linkFileType":{"id":5,"text":"html"}},{"id":292141,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1005/title_page.html"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Block Island Sound","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-71.85707056164075, 41.29306579994488], [-71.63818033053487, 41.319875770682074], [-71.47897925250379, 41.317252636854555], [-71.43304869352426, 41.32915960707146], [-71.42472924457134, 41.326253586262624], [-71.41208371430912, 41.29472936827318], [-71.43589202914978, 41.28004255127024], [-71.41951753413281, 41.257258898080906], [-71.39468455764082, 41.26437125542578], [-71.36822417734959, 41.21472539384666], [-71.54109062535701, 41.163411945658346], [-71.56347409018628, 41.18090313687912], [-71.56422469848413, 41.190866442723454], [-71.55257059186687, 41.21517396004508], [-71.57428359283057, 41.2320743824403], [-71.57531754525735, 41.240609189745484], [-71.58129567019802, 41.20579319166345], [-71.59016886193388, 41.19864952035066], [-71.58674741935778, 41.19500248815421], [-71.59364670191502, 41.19928869094178], [-71.61165627327718, 41.17360907248608], [-71.61663804406106, 41.15909614024025], [-71.61131788884654, 41.15029814504459], [-71.61960830739628, 41.1475534713296], [-71.63075619447125, 41.15569349679912], [-71.66733931124645, 41.15539271063851], [-71.66325989894415, 41.15437755734678], [-71.66824166972805, 41.154001574646124], [-71.6699711901511, 41.133303726974276], [-71.70856581437488, 41.11565133917781], [-71.73317388213377, 41.13841709170325], [-71.76297051116194, 41.145071985505176], [-71.85865810848247, 41.14576755350141], [-71.85794374135122, 41.23342792016257], [-71.86843365869987, 41.23378510372832], [-71.85784974567599, 41.23553342328643], [-71.85707056164075, 41.29306579994488]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-71.86843365869987, 41.11565133917781, -71.36822417734959, 41.330098277509755], \"type\": \"Feature\", \"id\": \"3091972\"}","edition":"Originally posted August 7, 2012; Revised August 14, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8804e4b08c986b316782","contributors":{"authors":[{"text":"Poppe, L. J.","contributorId":72782,"corporation":false,"usgs":true,"family":"Poppe","given":"L.","middleInitial":"J.","affiliations":[],"preferred":false,"id":466332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Danforth, W. W.","contributorId":16386,"corporation":false,"usgs":true,"family":"Danforth","given":"W.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":466327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMullen, K. Y.","contributorId":51857,"corporation":false,"usgs":true,"family":"McMullen","given":"K.","middleInitial":"Y.","affiliations":[],"preferred":false,"id":466329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blankenship, M.A.","contributorId":59671,"corporation":false,"usgs":true,"family":"Blankenship","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":466330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glomb, K.A.","contributorId":67996,"corporation":false,"usgs":true,"family":"Glomb","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":466331,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wright, D.B.","contributorId":88754,"corporation":false,"usgs":true,"family":"Wright","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":466333,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, S. M.","contributorId":27859,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":466328,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70039424,"text":"sir20125141 - 2012 - Estimates of tracer-based piston-flow ages of groundwater from selected sites: National Water-Quality Assessment Program, 2006-2010","interactions":[],"lastModifiedDate":"2018-03-21T15:12:18","indexId":"sir20125141","displayToPublicDate":"2012-08-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5141","title":"Estimates of tracer-based piston-flow ages of groundwater from selected sites: National Water-Quality Assessment Program, 2006-2010","docAbstract":"Piston-flow age dates were interpreted from measured concentrations of environmental tracers from 812 National Water-Quality Assessment (NAWQA) Program groundwater sites from 27 Study Units across the United States. The tracers of interest include chlorofluorocarbons (CFCs), sulfur hexafluoride (SF<sub>6</sub>), and tritium/helium-3 (<sup>3</sup>H/<sup>3</sup>He). Tracer data compiled for this analysis were collected from 2006 to 2010 from groundwater wells in NAWQA studies, including: * Land-Use Studies (LUS, shallow wells, usually monitoring wells, located in recharge areas under dominant land-use settings), * Major-Aquifer Studies (MAS, wells, usually domestic supply wells, located in principal aquifers and representing the shallow drinking water supply), * Flow System Studies (FSS, networks of clustered wells located along a flowpath extending from a recharge zone to a discharge zone, preferably a shallow stream) associated with Land-Use Studies, and * Reference wells (wells representing groundwater minimally impacted by anthropogenic activities) also associated with Land-Use Studies. Tracer data were evaluated using documented methods and are presented as aqueous concentrations, equivalent atmospheric concentrations (for CFCs and SF<sub>6</sub>), and tracer-based piston-flow ages. Selected ancillary data, such as redox data, well-construction data, and major dissolved-gas (N<sub>2</sub>, O<sub>2</sub>, Ar, CH<sub>4</sub>, and CO<sub>2</sub>) data, also are presented. Recharge temperature was inferred using climate data (approximated by mean annual air temperature plus 1&deg;C [MAAT +1&deg;C]) as well as major dissolved-gas data (N<sub>2</sub>-Ar-based) where available. The N<sub>2</sub>-Ar-based temperatures showed significantly more variation than the climate-based data, as well as the effects of denitrification and degassing resulting from reducing conditions. The N<sub>2</sub>-Ar-based temperatures were colder than the climate-based temperatures in networks where recharge was limited to the winter months when evapotranspiration was reduced.  The tracer-based piston-flow ages compiled in this report are provided as a consistent means of reporting the tracer data. The tracer-based piston-flow ages may provide an initial interpretation of age in cases in which mixing is minimal and may aid in developing a basic conceptualization of groundwater age in an aquifer. These interpretations are based on the assumption that tracer transport is by advection only and that no mixing occurs. In addition, it is assumed that other uncertainties are minimized, including tracer degradation, sorption, contamination, or fractionation, and that terrigenic (natural) sources of tracers, and spatially variable atmospheric tracer concentrations are constrained.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125141","collaboration":"National Water Quality Assessment Program","usgsCitation":"Shapiro, S., Plummer, N., Busenberg, E., Widman, P.K., Casile, G.C., Wayland, J.E., and Runkle, D.L., 2012, Estimates of tracer-based piston-flow ages of groundwater from selected sites: National Water-Quality Assessment Program, 2006-2010: U.S. Geological Survey Scientific Investigations Report 2012-5141, Title Page; Table of Contents; List of Figures; List of Tables; PDF: viii, 100 p.; Table 1 XLS; Table A1 XLS; Appendix B PDF; Appendix B Tables XLS ZIP, https://doi.org/10.3133/sir20125141.","productDescription":"Title Page; Table of Contents; List of Figures; List of Tables; PDF: viii, 100 p.; Table 1 XLS; Table A1 XLS; Appendix B PDF; Appendix B Tables XLS ZIP","numberOfPages":"112","onlineOnly":"Y","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":259437,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5141.jpg"},{"id":259434,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5141/","linkFileType":{"id":5,"text":"html"}},{"id":259435,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5141/pdf/sir20125141.pdf","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Albers Equal-Area Conic","datum":"North American Datum 1983","country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.38333333333333 ], [ -66.95,49.38333333333333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0af5e4b0c8380cd524db","contributors":{"authors":[{"text":"Shapiro, Stephanie D.","contributorId":29350,"corporation":false,"usgs":true,"family":"Shapiro","given":"Stephanie D.","affiliations":[],"preferred":false,"id":466222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":466221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Busenberg, Eurybiades ebusenbe@usgs.gov","contributorId":2271,"corporation":false,"usgs":true,"family":"Busenberg","given":"Eurybiades","email":"ebusenbe@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":466216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Widman, Peggy K. pkwidman@usgs.gov","contributorId":4009,"corporation":false,"usgs":true,"family":"Widman","given":"Peggy","email":"pkwidman@usgs.gov","middleInitial":"K.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":466220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casile, Gerolamo C. jcasile@usgs.gov","contributorId":4007,"corporation":false,"usgs":true,"family":"Casile","given":"Gerolamo","email":"jcasile@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":466218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wayland, Julian E. jwayland@usgs.gov","contributorId":4008,"corporation":false,"usgs":true,"family":"Wayland","given":"Julian","email":"jwayland@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":466219,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Runkle, Donna L. dlrunkle@usgs.gov","contributorId":2556,"corporation":false,"usgs":true,"family":"Runkle","given":"Donna","email":"dlrunkle@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":466217,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70039445,"text":"fs20123091 - 2012 - Land-use and land-cover scenarios and spatial modeling at the regional scale","interactions":[],"lastModifiedDate":"2012-08-04T01:01:57","indexId":"fs20123091","displayToPublicDate":"2012-08-03T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3091","title":"Land-use and land-cover scenarios and spatial modeling at the regional scale","docAbstract":"Land-use and land-cover (LULC) change has altered a large part of the earth's surface. Scenarios of potential future LULC change are required in order to better manage potential impacts on biodiversity, carbon fluxes, climate change, hydrology, and many other ecological processes. The U.S. Geological Survey is analyzing potential future LULC change in the United States, using an approach based on scenario construction and spatially explicit modeling. Similar modeling techniques are being used to produce historical LULC maps from 1940 to present. With the combination of backcast and forecast LULC data, the USGS is providing consistent LULC data for historical, current, and future time frames to support a variety of research applications.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123091","usgsCitation":"Sohl, T.L., and Sleeter, B.M., 2012, Land-use and land-cover scenarios and spatial modeling at the regional scale: U.S. Geological Survey Fact Sheet 2012-3091, 4 p., https://doi.org/10.3133/fs20123091.","productDescription":"4 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":259448,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3091.gif"},{"id":259446,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3091/FS2012-3091.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259447,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3091/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a43b9e4b0c8380cd66576","contributors":{"authors":[{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":466245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":466246,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039425,"text":"sir20125132 - 2012 - Simulation of climate change in San Francisco Bay Basins, California: Case studies in the Russian River Valley and Santa Cruz Mountains","interactions":[],"lastModifiedDate":"2012-08-28T15:40:09","indexId":"sir20125132","displayToPublicDate":"2012-08-03T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5132","title":"Simulation of climate change in San Francisco Bay Basins, California: Case studies in the Russian River Valley and Santa Cruz Mountains","docAbstract":"As a result of ongoing changes in climate, hydrologic and ecologic effects are being seen across the western United States. A regional study of how climate change affects water resources and habitats in the San Francisco Bay area relied on historical climate data and future projections of climate, which were downscaled to fine spatial scales for application to a regional water-balance model. Changes in climate, potential evapotranspiration, recharge, runoff, and climatic water deficit were modeled for the Bay Area. In addition, detailed studies in the Russian River Valley and Santa Cruz Mountains, which are on the northern and southern extremes of the Bay Area, respectively, were carried out in collaboration with local water agencies. Resource managers depend on science-based projections to inform planning exercises that result in competent adaptation to ongoing and future changes in water supply and environmental conditions. Results indicated large spatial variability in climate change and the hydrologic response across the region; although there is warming under all projections, potential change in precipitation by the end of the 21st century differed according to model. Hydrologic models predicted reduced early and late wet season runoff for the end of the century for both wetter and drier future climate projections, which could result in an extended dry season. In fact, summers are projected to be longer and drier in the future than in the past regardless of precipitation trends. While water supply could be subject to increased variability (that is, reduced reliability) due to greater variability in precipitation, water demand is likely to steadily increase because of increased evapotranspiration rates and climatic water deficit during the extended summers. Extended dry season conditions and the potential for drought, combined with unprecedented increases in precipitation, could serve as additional stressors on water quality and habitat.  By focusing on the relationship between soil moisture storage and evapotranspiration pressures, climatic water deficit integrates the effects of increasing temperature and varying precipitation on basin conditions. At the fine-scale used for these analyses, this variable is an effective indicator of the areas in the landscape that are the most resilient or vulnerable to projected changes. These analyses have shown that regardless of the direction of precipitation change, climatic water deficit is projected to increase, which implies greater water demand to maintain current agricultural resources or land cover. Fine-scale modeling provides a spatially distributed view of locations in the landscape that could prove to be resilient to climatic changes in contrast to locations where vegetation is currently living on the edge of its present-day bioclimatic distribution and, therefore, is more likely to perish or shift to other dominant species under future warming. This type of modeling and the associated analyses provide a useful means for greater understanding of water and land resources, which can lead to better resource management and planning.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125132","collaboration":"Prepared in cooperation with Sonoma County Water Agency and Santa Cruz County Department of Environmental Health Services","usgsCitation":"Flint, L.E., and Flint, A.L., 2012, Simulation of climate change in San Francisco Bay Basins, California: Case studies in the Russian River Valley and Santa Cruz Mountains: U.S. Geological Survey Scientific Investigations Report 2012-5132, xi, 55 p., https://doi.org/10.3133/sir20125132.","productDescription":"xi, 55 p.","numberOfPages":"61","onlineOnly":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":259440,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5132.jpg"},{"id":259438,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5132/","linkFileType":{"id":5,"text":"html"}},{"id":259439,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5132/pdf/sir20125132.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Russian River Valley;Santa Cruz Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124,35.666666666666664 ], [ -124,39.5 ], [ -122,39.5 ], [ -122,35.666666666666664 ], [ -124,35.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9018e4b08c986b319306","contributors":{"authors":[{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":466224,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039420,"text":"ds689 - 2012 - Selected historic agricultural data important to environmental quality in the United States","interactions":[],"lastModifiedDate":"2012-08-04T17:16:28","indexId":"ds689","displayToPublicDate":"2012-08-02T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"689","title":"Selected historic agricultural data important to environmental quality in the United States","docAbstract":"This report and the accompanying tables summarize some of the important changes in American agriculture in the form of a timeline and a compilation of selected annual time-series data that can be broadly related to environmental quality. Although these changes have been beneficial for increasing agricultural production, some of them have resulted in environmental concerns. The agriculture timeline is divided into four categories (1) crop and animal changes, (2) mechanical changes, (3) biological and chemical changes, and (4) regulatory and societal changes. The timeline attempts to compile events that have had a lasting impact on agriculture in the United States. The events and data presented in this report may help to improve the connections between agricultural activist and environmental concerns.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds689","collaboration":"National Water Quality Assessment Program","usgsCitation":"Grey, K., Capel, P.D., Baker, N.T., and Thelin, G.P., 2012, Selected historic agricultural data important to environmental quality in the United States: U.S. Geological Survey Data Series 689, iii, 2 p.; XLS: Tables 1 to 4; PDF: Tables 1 to 4, https://doi.org/10.3133/ds689.","productDescription":"iii, 2 p.; XLS: Tables 1 to 4; PDF: Tables 1 to 4","numberOfPages":"10","onlineOnly":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":259425,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/689/","linkFileType":{"id":5,"text":"html"}},{"id":259426,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/689/pdf/DS689.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259431,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_689.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173,16.916666666666668 ], [ 173,71.83333333333333 ], [ -66.95,71.83333333333333 ], [ -66.95,16.916666666666668 ], [ 173,16.916666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8c46e4b08c986b317dcf","contributors":{"authors":[{"text":"Grey, Katia M.","contributorId":36393,"corporation":false,"usgs":true,"family":"Grey","given":"Katia M.","affiliations":[],"preferred":false,"id":466213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capel, Paul D. 0000-0003-1620-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1620-5185","contributorId":1002,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, Nancy T. 0000-0002-7979-5744 ntbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":1955,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"ntbaker@usgs.gov","middleInitial":"T.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thelin, Gail P.","contributorId":75178,"corporation":false,"usgs":true,"family":"Thelin","given":"Gail","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":466214,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039412,"text":"ofr20121145 - 2012 - Waterbird nest monitoring program in San Francisco Bay (2005-10)","interactions":[],"lastModifiedDate":"2018-02-14T14:47:24","indexId":"ofr20121145","displayToPublicDate":"2012-08-02T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1145","title":"Waterbird nest monitoring program in San Francisco Bay (2005-10)","docAbstract":"<p>Historically, Forster’s Terns (<i>Sterna forsteri</i>), American Avocets (<i>Recurvirostra americana</i>), and Black-necked Stilts (<i>Himantopus mexicanus</i>) were uncommon residents of San Francisco Bay, California (Grinnell and others, 1918; Grinnell and Wythe, 1927; Sibley, 1952). Presently, however, avocets and stilts are the two most abundant breeding shorebirds in San Francisco Bay (Stenzel and others, 2002; Rintoul and others, 2003). More than 4,000 avocets and 1,000 stilts, roughly 20 percent of their San Francisco Bay wintering populations, breed within the estuary, making San Francisco Bay the largest breeding area for these species on the Pacific Coast (Stenzel and others, 2002; Rintoul and others, 2003). Forster’s Terns were first observed breeding in the San Francisco Bay in 1948 (110 nests); they had increased to over 4000 individuals by the 1980s (Sibley, 1952; Gill, 1977; Harvey and others, 1992; Carter and others, 1990) and were estimated at 2000–3000 for 1998–2002; (Strong and others, 2004).</p><p>It is hypothesized that the relatively large size of the current waterbird breeding populations is a result of the creation of artificial salt evaporation ponds from the 1930s through the 1950s (Gill, 1977; Goals Project, 1999). Until recently, these salt ponds and associated islands used by waterbirds for nesting have been managed relatively similarly and have supported large breeding waterbird populations. Recently, the South Bay Salt Pond Restoration Project has implemented plans to convert 50–90 percent of the 15,000 acres of salt ponds in the South San Francisco Bay back to tidal marsh habitat. Therefore, there is concern that the Restoration Project, while benefiting other native species, could negatively influence local breeding populations of waterbirds that are reliant on salt pond habitats for both breeding and foraging. A primary goal of the South Bay Salt Pond Restoration Project is to maintain current breeding waterbird populations (South Bay Salt Pond Long-Term Restoration Project, 2004); thus, specific efforts are planned to ensure that the Restoration Project enhances the habitats of the remaining salt ponds for breeding waterbirds.</p><p>Here, we provide a summary of nesting ecology data for Forster’s Terns, American Avocets, and Black-necked Stilts, collected from 2005 to 2010 in the areas of the South Bay Salt Pond Restoration Project, including lands managed by the Don Edwards San Francisco Bay National Wildlife Refuge and Eden Landing Ecological Reserve. These results provide baseline conditions for breeding waterbirds prior to implementation of most restoration actions and can be used to both guide future restoration actions as well as to determine the effect of the South Bay Salt Pond Restoration Project on breeding waterbirds. It is imperative to continue to collect nesting waterbird data annually to assess the response of birds to the South Bay Salt Pond Restoration Project.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121145","usgsCitation":"Ackerman, J., and Herzog, M., 2012, Waterbird nest monitoring program in San Francisco Bay (2005-10): U.S. Geological Survey Open-File Report 2012-1145, iv, 16 p., https://doi.org/10.3133/ofr20121145.","productDescription":"iv, 16 p.","onlineOnly":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":259429,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1145.jpg"},{"id":259424,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1145/pdf/ofr20121145.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259423,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1145/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","city":"San Francisco","otherGeospatial":"Don Edwards San Francisco Bay National Wildlife Refuge, Eden Landing Ecological Reserve;South Bay Salt Pond","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.25,37.416666666666664 ], [ -122.25,37.666666666666664 ], [ -121.91666666666667,37.666666666666664 ], [ -121.91666666666667,37.416666666666664 ], [ -122.25,37.416666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcf35e4b08c986b32e7a7","contributors":{"authors":[{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":466201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herzog, Mark P. mherzog@usgs.gov","contributorId":3965,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark P.","email":"mherzog@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":466202,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70160894,"text":"70160894 - 2012 - An at-grade stabilization structure impact on runoff and suspended sediment","interactions":[],"lastModifiedDate":"2016-01-04T15:10:00","indexId":"70160894","displayToPublicDate":"2012-08-01T16:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"An at-grade stabilization structure impact on runoff and suspended sediment","docAbstract":"<p>In recent years, agricultural runoff has received more attention as a major contributor to surface water pollution. This is especially true for the unglaciated area of Wisconsin, given this area's steep topography, which makes it highly susceptible to runoff and soil loss. We evaluated the ability of an at-grade stabilization structure (AGSS), designed as a conservation practice to reduce the amount of overland runoff and suspended sediment transported to the surface waters of an agricultural watershed. Eight years of storm and baseflow data collected by the US Geological Survey&ndash;Wisconsin Water Science Center on a farm in west central Wisconsin were analyzed for changes in precipitation, storm runoff volume, and suspended sediment concentration before and after installation of an AGSS. The agricultural research site was designed as a paired watershed study in which monitoring stations were installed on the perennial streams draining both control and treatment watersheds. Linear mixed effects model analyses were conducted to determine if any statistically significant changes occurred in the water quality parameters before and after the AGSS was installed. Results indicated no significant changes (<i>p</i> = 0.51) in average event precipitation and runoff volumes before and after installation of the AGSS in either the treatment (NW) or control (SW) watersheds. However, the AGSS did significantly reduce the average suspended sediment concentration in the event runoff water (<i>p</i> = 0.02) in the NW from 972 to 263 mg L<sup>&ndash;1</sup>. In addition, particle size analyses, using light diffraction techniques, were conducted on soil samples taken from within the AGSS and adjacent valley and ridge top to determine if suspended sediments were being retained within the structure. Statistical analysis revealed a significantly (<i>p</i> &lt; 0.001) larger proportion of clay inside the AGSS (37%) than outside (30%). These results indicate that the AGSS was successful in reducing the amount of suspended sediment transported to nearby surface waters. The cost of an AGSS can range from US$3,500 to US$8,000, depending on size. Thus, these structures provide a cheap and effective means of improving water quality in highly erosive landscapes.</p>","language":"English","publisher":"Soil Conservation Society of America","publisherLocation":"Ankeny, IA","doi":"10.2489/jswc.67.4.237","usgsCitation":"Minks, K.R., Lowery, B., Madison, F.W., Ruark, M., Frame, D.R., Stuntebeck, T.D., and Komiskey, M.J., 2012, An at-grade stabilization structure impact on runoff and suspended sediment: Journal of Soil and Water Conservation, v. 67, no. 4, p. 237-248, https://doi.org/10.2489/jswc.67.4.237.","productDescription":"12 p.","startPage":"237","endPage":"248","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031188","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":313247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Traverse Valley Creek Watersheds","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.40899658203125,\n              43.982933852960805\n            ],\n            [\n              -91.3128662109375,\n              44.06588017158586\n            ],\n            [\n              -90.9228515625,\n              44.16447445668458\n            ],\n            [\n              -90.82672119140625,\n              44.327777761284445\n            ],\n            [\n              -90.89813232421875,\n              44.51805165000557\n            ],\n            [\n              -91.0546875,\n              44.666699513609174\n            ],\n            [\n              -91.27166748046875,\n              44.766236875162335\n            ],\n            [\n              -91.4886474609375,\n              44.79937794671695\n            ],\n            [\n              -91.71936035156249,\n              44.76428680790121\n            ],\n            [\n              -91.90887451171875,\n              44.68818283842486\n            ],\n            [\n              -92.01324462890625,\n              44.59633476144439\n            ],\n            [\n              -92.08465576171875,\n              44.44554600843547\n            ],\n            [\n              -91.95281982421875,\n              44.351350365612305\n            ],\n            [\n              -91.87591552734374,\n              44.2294565683017\n            ],\n            [\n              -91.669921875,\n              44.11125397357155\n            ],\n            [\n              -91.61773681640625,\n              44.04614157509527\n            ],\n            [\n              -91.40899658203125,\n              43.982933852960805\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"67","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2012-07-09","publicationStatus":"PW","scienceBaseUri":"568ba5c0e4b0e7594ee77648","contributors":{"authors":[{"text":"Minks, Kyle R.","contributorId":151053,"corporation":false,"usgs":false,"family":"Minks","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":18172,"text":"UW-Madison Dept. of Soil Science, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":584189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowery, Birl","contributorId":151050,"corporation":false,"usgs":false,"family":"Lowery","given":"Birl","email":"","affiliations":[{"id":18172,"text":"UW-Madison Dept. of Soil Science, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":584186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madison, Fred W.","contributorId":151052,"corporation":false,"usgs":false,"family":"Madison","given":"Fred","email":"","middleInitial":"W.","affiliations":[{"id":18172,"text":"UW-Madison Dept. of Soil Science, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":584188,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruark, Matthew","contributorId":151056,"corporation":false,"usgs":false,"family":"Ruark","given":"Matthew","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":584190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frame, Dennis R.","contributorId":77282,"corporation":false,"usgs":true,"family":"Frame","given":"Dennis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":584187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stuntebeck, Todd D. 0000-0002-8405-7295 tdstunte@usgs.gov","orcid":"https://orcid.org/0000-0002-8405-7295","contributorId":902,"corporation":false,"usgs":true,"family":"Stuntebeck","given":"Todd","email":"tdstunte@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584185,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Komiskey, Matthew J. 0000-0003-2962-6974 mjkomisk@usgs.gov","orcid":"https://orcid.org/0000-0003-2962-6974","contributorId":1776,"corporation":false,"usgs":true,"family":"Komiskey","given":"Matthew","email":"mjkomisk@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584184,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70039346,"text":"70039346 - 2012 - Threshold amounts of organic carbon needed to initiate reductive dechlorination in groundwater systems","interactions":[],"lastModifiedDate":"2018-02-23T15:43:33","indexId":"70039346","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3249,"text":"Remediation Journal","active":true,"publicationSubtype":{"id":10}},"title":"Threshold amounts of organic carbon needed to initiate reductive dechlorination in groundwater systems","docAbstract":"Aquifer sediment and groundwater chemistry data from 15 Department of Defense facilities located throughout the United States were collected and analyzed with the goal of estimating the amount of natural organic carbon needed to initiate reductive dechlorination in groundwater systems. Aquifer sediments were analyzed for hydroxylamine and NaOH-extractable organic carbon, yielding a probable underestimate of potentially bioavailable organic carbon (PBOC). Aquifer sediments were also analyzed for total organic carbon (TOC) using an elemental combustion analyzer, yielding a probable overestimate of bioavailable carbon. Concentrations of PBOC correlated linearly with TOC with a slope near one. However, concentrations of PBOC were consistently five to ten times lower than TOC. When mean concentrations of dissolved oxygen observed at each site were plotted versus PBOC, it showed that anoxic conditions were initiated at approximately 200 mg/kg of PBOC. Similarly, the accumulation of reductive dechlorination daughter products relative to parent compounds increased at a PBOC concentration of approximately 200 mg/kg. Concentrations of total hydrolysable amino acids (THAA) in sediments also increased at approximately 200 mg/kg, and bioassays showed that sediment CO<sub>2</sub> production correlated positively with THAA. The results of this study provide an estimate for threshold amounts of bioavailable carbon present in aquifer sediments (approximately 200 mg/kg of PBOC; approximately 1,000 to 2,000 mg/kg of TOC) needed to support reductive dechlorination in groundwater systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remediation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley Periodicals, Inc.","publisherLocation":"Hoboken, NJ","doi":"10.1002/rem.21318","usgsCitation":"Chapelle, F.H., Thomas, L.K., Bradley, P.M., Rectanus, H.V., and Widdowson, M.A., 2012, Threshold amounts of organic carbon needed to initiate reductive dechlorination in groundwater systems: Remediation Journal, v. 22, no. 3, p. 19-28, https://doi.org/10.1002/rem.21318.","productDescription":"10 p.","startPage":"19","endPage":"28","numberOfPages":"10","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":259375,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259362,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rem.21318","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"22","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-06-07","publicationStatus":"PW","scienceBaseUri":"505bb353e4b08c986b325d0f","contributors":{"authors":[{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Lashun K.","contributorId":58507,"corporation":false,"usgs":true,"family":"Thomas","given":"Lashun","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":466114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rectanus, Heather V.","contributorId":46351,"corporation":false,"usgs":true,"family":"Rectanus","given":"Heather","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":466113,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Widdowson, Mark A.","contributorId":90379,"corporation":false,"usgs":true,"family":"Widdowson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":466115,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039312,"text":"70039312 - 2012 - Evidence, models, conservation programs and limits to management","interactions":[],"lastModifiedDate":"2012-08-02T01:01:49","indexId":"70039312","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Evidence, models, conservation programs and limits to management","docAbstract":"Walsh et al. (2012) emphasized the importance of obtaining evidence to assess the effects of management actions on state variables relevant to objectives of conservation programs. They focused on malleefowl Leipoa ocellata, ground-dwelling Australian megapodes listed as vulnerable. They noted that although fox Vulpes vulpes baiting is the main management action used in malleefowl conservation throughout southern Australia, evidence of the effectiveness of this action is limited and currently debated. Walsh et al. (2012) then used data from 64 sites monitored for malleefowl and foxes over 23 years to assess key functional relationships relevant to fox control as a conservation action for malleefowl. In one set of analyses, Walsh et al. (2012) focused on two relationships: fox baiting investment versus fox presence, and fox presence versus malleefowl population size and rate of population change. Results led to the counterintuitive conclusion that increases in investments in fox control produced slight decreases in malleefowl population size and growth. In a second set of analyses, Walsh et al. (2012) directly assessed the relationship between investment in fox baiting and malleefowl population size and rate of population change. This set of analyses showed no significant relationship between investment in fox population control and malleefowl population growth. Both sets of analyses benefited from the incorporation of key environmental covariates hypothesized to influence these management relationships. Walsh et al. (2012) concluded that \"in most situations, malleefowl conservation did not effectively benefit from fox baiting at current levels of investment.\" In this commentary, I discuss the work of Walsh et al. (2012) using the conceptual framework of structured decision making (SDM). In doing so, I accept their analytic results and associated conclusions as accurate and discuss basic ideas about evidence, conservation and limits to management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Animal Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1469-1795.2012.00574.x","usgsCitation":"Nichols, J., 2012, Evidence, models, conservation programs and limits to management: Animal Conservation, v. 15, no. 4, p. 331-333, https://doi.org/10.1111/j.1469-1795.2012.00574.x.","productDescription":"3 p.","startPage":"331","endPage":"333","numberOfPages":"3","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474387,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1469-1795.2012.00574.x","text":"Publisher Index Page"},{"id":259351,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259340,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1469-1795.2012.00574.x","linkFileType":{"id":5,"text":"html"}}],"volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-07-04","publicationStatus":"PW","scienceBaseUri":"505a0d74e4b0c8380cd53021","contributors":{"authors":[{"text":"Nichols, J.D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":14332,"corporation":false,"usgs":true,"family":"Nichols","given":"J.D.","affiliations":[],"preferred":false,"id":466025,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039292,"text":"70039292 - 2012 - Experimental investigation of false positive errors in auditory species occurrence surveys","interactions":[],"lastModifiedDate":"2012-08-02T01:01:49","indexId":"70039292","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Experimental investigation of false positive errors in auditory species occurrence surveys","docAbstract":"False positive errors are a significant component of many ecological data sets, which in combination with false negative errors, can lead to severe biases in conclusions about ecological systems. We present results of a field experiment where observers recorded observations for known combinations of electronically broadcast calling anurans under conditions mimicking field surveys to determine species occurrence. Our objectives were to characterize false positive error probabilities for auditory methods based on a large number of observers, to determine if targeted instruction could be used to reduce false positive error rates, and to establish useful predictors of among-observer and among-species differences in error rates. We recruited 31 observers, ranging in abilities from novice to expert, that recorded detections for 12 species during 180 calling trials (66,960 total observations). All observers made multiple false positive errors and on average 8.1% of recorded detections in the experiment were false positive errors. Additional instruction had only minor effects on error rates. After instruction, false positive error probabilities decreased by 16% for treatment individuals compared to controls with broad confidence interval overlap of 0 (95% CI: -46 to 30%). This coincided with an increase in false negative errors due to the treatment (26%; -3 to 61%). Differences among observers in false positive and in false negative error rates were best predicted by scores from an online test and a self-assessment of observer ability completed prior to the field experiment. In contrast, years of experience conducting call surveys was a weak predictor of error rates. False positive errors were also more common for species that were played more frequently, but were not related to the dominant spectral frequency of the call. Our results corroborate other work that demonstrates false positives are a significant component of species occurrence data collected by auditory methods. Instructing observers to only report detections they are completely certain are correct is not sufficient to eliminate errors. As a result, analytical methods that account for false positive errors will be needed, and independent testing of observer ability is a useful predictor for among-observer variation in observation error rates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA","publisherLocation":"Ithaca, NY","doi":"10.1890/11-2129.1","usgsCitation":"Miller, D., Weir, L., McClintock, B.T., Grant, E., Bailey, L., and Simons, T.R., 2012, Experimental investigation of false positive errors in auditory species occurrence surveys: Ecological Applications, v. 22, no. 5, p. 1665-1674, https://doi.org/10.1890/11-2129.1.","productDescription":"10 p.","startPage":"1665","endPage":"1674","numberOfPages":"10","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":259345,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259341,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-2129.1","linkFileType":{"id":5,"text":"html"}}],"volume":"22","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0dd5e4b0c8380cd531fa","contributors":{"authors":[{"text":"Miller, David A.W.","contributorId":19423,"corporation":false,"usgs":true,"family":"Miller","given":"David A.W.","affiliations":[],"preferred":false,"id":465983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weir, Linda A. lweir@usgs.gov","contributorId":3201,"corporation":false,"usgs":true,"family":"Weir","given":"Linda A.","email":"lweir@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":465981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McClintock, Brett T. 0000-0001-6154-4376","orcid":"https://orcid.org/0000-0001-6154-4376","contributorId":83785,"corporation":false,"usgs":true,"family":"McClintock","given":"Brett","email":"","middleInitial":"T.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":true,"id":465984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grant, Evan H. Campbell","contributorId":14686,"corporation":false,"usgs":true,"family":"Grant","given":"Evan H. Campbell","affiliations":[],"preferred":false,"id":465982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bailey, Larissa L.","contributorId":93183,"corporation":false,"usgs":true,"family":"Bailey","given":"Larissa L.","affiliations":[],"preferred":false,"id":465985,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":465980,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038501,"text":"70038501 - 2012 - The paradox of cooling streams in a warming world: Regional climate trends do not parallel variable local trends in stream temperature in the Pacific continental United States","interactions":[],"lastModifiedDate":"2017-11-24T17:20:57","indexId":"70038501","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The paradox of cooling streams in a warming world: Regional climate trends do not parallel variable local trends in stream temperature in the Pacific continental United States","docAbstract":"Temperature is a fundamentally important driver of ecosystem processes in streams. Recent warming of terrestrial climates around the globe has motivated concern about consequent increases in stream temperature. More specifically, observed trends of increasing air temperature and declining stream flow are widely believed to result in corresponding increases in stream temperature. Here, we examined the evidence for this using long-term stream temperature data from minimally and highly human-impacted sites located across the Pacific continental United States. Based on hypothesized climate impacts, we predicted that we should find warming trends in the maximum, mean and minimum temperatures, as well as increasing variability over time. These predictions were not fully realized. Warming trends were most prevalent in a small subset of locations with longer time series beginning in the 1950s. More recent series of observations (1987-2009) exhibited fewer warming trends and more cooling trends in both minimally and highly human-influenced systems. Trends in variability were much less evident, regardless of the length of time series. Based on these findings, we conclude that our perspective of climate impacts on stream temperatures is clouded considerably by a lack of long-termdata on minimally impacted streams, and biased spatio-temporal representation of existing time series. Overall our results highlight the need to develop more mechanistic, process-based understanding of linkages between climate change, other human impacts and stream temperature, and to deploy sensor networks that will provide better information on trends in stream temperatures in the future.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012GL051448","usgsCitation":"Arismendi, I., Johnson, S., Dunham, J., Haggerty, R., and Hockman-Wert, D., 2012, The paradox of cooling streams in a warming world: Regional climate trends do not parallel variable local trends in stream temperature in the Pacific continental United States: Geophysical Research Letters, v. 39, 7 p.; L10401, https://doi.org/10.1029/2012GL051448.","productDescription":"7 p.; L10401","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":474388,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012gl051448","text":"Publisher Index Page"},{"id":259404,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"39","noUsgsAuthors":false,"publicationDate":"2012-05-16","publicationStatus":"PW","scienceBaseUri":"505bae7be4b08c986b32411f","contributors":{"authors":[{"text":"Arismendi, Ivan","contributorId":70661,"corporation":false,"usgs":true,"family":"Arismendi","given":"Ivan","affiliations":[],"preferred":false,"id":464432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Sherri","contributorId":102348,"corporation":false,"usgs":true,"family":"Johnson","given":"Sherri","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":464433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":1808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":464430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haggerty, Roy","contributorId":102631,"corporation":false,"usgs":true,"family":"Haggerty","given":"Roy","affiliations":[],"preferred":false,"id":464434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hockman-Wert, David 0000-0003-2436-6237 dhockman-wert@usgs.gov","orcid":"https://orcid.org/0000-0003-2436-6237","contributorId":3891,"corporation":false,"usgs":true,"family":"Hockman-Wert","given":"David","email":"dhockman-wert@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":464431,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039372,"text":"70039372 - 2012 - Estimating abundance of mountain lions from unstructured spatial sampling","interactions":[],"lastModifiedDate":"2023-10-12T19:58:05.240313","indexId":"70039372","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating abundance of mountain lions from unstructured spatial sampling","docAbstract":"Mountain lions (Puma concolor) are often difficult to monitor because of their low capture probabilities, extensive movements, and large territories. Methods for estimating the abundance of this species are needed to assess population status, determine harvest levels, evaluate the impacts of management actions on populations, and derive conservation and management strategies. Traditional mark&ndash;recapture methods do not explicitly account for differences in individual capture probabilities due to the spatial distribution of individuals in relation to survey effort (or trap locations). However, recent advances in the analysis of capture&ndash;recapture data have produced methods estimating abundance and density of animals from spatially explicit capture&ndash;recapture data that account for heterogeneity in capture probabilities due to the spatial organization of individuals and traps. We adapt recently developed spatial capture&ndash;recapture models to estimate density and abundance of mountain lions in western Montana. Volunteers and state agency personnel collected mountain lion DNA samples in portions of the Blackfoot drainage (7,908 km<sup>2</sup>) in west-central Montana using 2 methods: snow back-tracking mountain lion tracks to collect hair samples and biopsy darting treed mountain lions to obtain tissue samples. Overall, we recorded 72 individual capture events, including captures both with and without tissue sample collection and hair samples resulting in the identification of 50 individual mountain lions (30 females, 19 males, and 1 unknown sex individual). We estimated lion densities from 8 models containing effects of distance, sex, and survey effort on detection probability. Our population density estimates ranged from a minimum of 3.7 mountain lions/100 km<sup>2</sup> (95% Cl 2.3&ndash;5.7) under the distance only model (including only an effect of distance on detection probability) to 6.7 (95% Cl 3.1&ndash;11.0) under the full model (including effects of distance, sex, survey effort, and distance x sex on detection probability). These numbers translate to a total estimate of 293 mountain lions (95% Cl 182&ndash;451) to 529 (95% Cl 245&ndash;870) within the Blackfoot drainage. Results from the distance model are similar to previous estimates of 3.6 mountain lions/100 km<sup>2</sup> for the study area; however, results from all other models indicated greater numbers of mountain lions. Our results indicate that unstructured spatial sampling combined with spatial capture&ndash;recapture analysis can be an effective method for estimating large carnivore densities.","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","usgsCitation":"Russell, R.E., Royle, J., Desimone, R., Schwartz, M.K., Edwards, V.L., Pilgrim, K.P., and Mckelvey, K.S., 2012, Estimating abundance of mountain lions from unstructured spatial sampling: Journal of Wildlife Management, v. 76, no. 8, p. 1551-1561.","productDescription":"11 p.","startPage":"1551","endPage":"1561","numberOfPages":"11","ipdsId":"IP-029409","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":259377,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b08e4b0c8380cd52520","contributors":{"authors":[{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":466149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":466153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Desimone, Richard","contributorId":33964,"corporation":false,"usgs":false,"family":"Desimone","given":"Richard","email":"","affiliations":[],"preferred":false,"id":466152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwartz, Michael K.","contributorId":102326,"corporation":false,"usgs":true,"family":"Schwartz","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":466155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Victoria L.","contributorId":90149,"corporation":false,"usgs":true,"family":"Edwards","given":"Victoria","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":466154,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pilgrim, Kristy P.","contributorId":18615,"corporation":false,"usgs":true,"family":"Pilgrim","given":"Kristy","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":466150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mckelvey, Kevin S.","contributorId":22617,"corporation":false,"usgs":true,"family":"Mckelvey","given":"Kevin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":466151,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70039354,"text":"70039354 - 2012 - Assessment of environments for Mars Science Laboratory entry, descent, and surface operations","interactions":[],"lastModifiedDate":"2017-01-11T16:51:47","indexId":"70039354","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3454,"text":"Space Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of environments for Mars Science Laboratory entry, descent, and surface operations","docAbstract":"The Mars Science Laboratory mission aims to land a car-sized rover on Mars' surface and operate it for at least one Mars year in order to assess whether its field area was ever capable of supporting microbial life. Here we describe the approach used to identify, characterize, and assess environmental risks to the landing and rover surface operations. Novel entry, descent, and landing approaches will be used to accurately deliver the 900-kg rover, including the ability to sense and \"fly out\" deviations from a best-estimate atmospheric state. A joint engineering and science team developed methods to estimate the range of potential atmospheric states at the time of arrival and to quantitatively assess the spacecraft's performance and risk given its particular sensitivities to atmospheric conditions. Numerical models are used to calculate the atmospheric parameters, with observations used to define model cases, tune model parameters, and validate results. This joint program has resulted in a spacecraft capable of accessing, with minimal risk, the four finalist sites chosen for their scientific merit. The capability to operate the landed rover over the latitude range of candidate landing sites, and for all seasons, was verified against an analysis of surface environmental conditions described here. These results, from orbital and model data sets, also drive engineering simulations of the rover's thermal state that are used to plan surface operations.","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s11214-012-9911-3","usgsCitation":"Vasavada, A., Chen, A., Barnes, J.R., Burkhart, P.D., Cantor, B.A., Dwyer-Cianciolo, A.M., Fergason, R.L., Hinson, D.P., Justh, H.L., Kass, D.M., Lewis, S.R., Mischna, M.A., Murphy, J.R., Rafkin, S.C., Tyler, D., and Withers, P.G., 2012, Assessment of environments for Mars Science Laboratory entry, descent, and surface operations: Space Science Reviews, v. 170, no. 1, p. 793-835, https://doi.org/10.1007/s11214-012-9911-3.","productDescription":"43 p.","startPage":"793","endPage":"835","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":259348,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"170","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-06-30","publicationStatus":"PW","scienceBaseUri":"5059ee2ee4b0c8380cd49be8","contributors":{"authors":[{"text":"Vasavada, Ashwin R.","contributorId":84125,"corporation":false,"usgs":true,"family":"Vasavada","given":"Ashwin R.","affiliations":[],"preferred":false,"id":466132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Allen","contributorId":71430,"corporation":false,"usgs":true,"family":"Chen","given":"Allen","email":"","affiliations":[],"preferred":false,"id":466131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnes, Jeffrey R.","contributorId":21813,"corporation":false,"usgs":true,"family":"Barnes","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":466121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burkhart, P. Daniel","contributorId":21023,"corporation":false,"usgs":true,"family":"Burkhart","given":"P.","email":"","middleInitial":"Daniel","affiliations":[],"preferred":false,"id":466119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cantor, Bruce A.","contributorId":38829,"corporation":false,"usgs":true,"family":"Cantor","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":466125,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dwyer-Cianciolo, Alicia M.","contributorId":33569,"corporation":false,"usgs":true,"family":"Dwyer-Cianciolo","given":"Alicia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":466123,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fergason, Robini L.","contributorId":50394,"corporation":false,"usgs":true,"family":"Fergason","given":"Robini","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":466129,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hinson, David P.","contributorId":21400,"corporation":false,"usgs":true,"family":"Hinson","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":466120,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Justh, Hilary L.","contributorId":41275,"corporation":false,"usgs":true,"family":"Justh","given":"Hilary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":466126,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kass, David M.","contributorId":91731,"corporation":false,"usgs":true,"family":"Kass","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":466133,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lewis, Stephen R.","contributorId":64081,"corporation":false,"usgs":true,"family":"Lewis","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":466130,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mischna, Michael A.","contributorId":46815,"corporation":false,"usgs":true,"family":"Mischna","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":466127,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Murphy, James R.","contributorId":96944,"corporation":false,"usgs":true,"family":"Murphy","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":466134,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rafkin, Scot C.R.","contributorId":31614,"corporation":false,"usgs":true,"family":"Rafkin","given":"Scot","email":"","middleInitial":"C.R.","affiliations":[],"preferred":false,"id":466122,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tyler, Daniel","contributorId":35999,"corporation":false,"usgs":true,"family":"Tyler","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":466124,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Withers, Paul G.","contributorId":49226,"corporation":false,"usgs":true,"family":"Withers","given":"Paul","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":466128,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70039308,"text":"ds704 - 2012 - Benthic foraminiferal census data from Mobile Bay, Alabama--counts of surface samples and box cores","interactions":[],"lastModifiedDate":"2012-08-08T01:02:14","indexId":"ds704","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"704","title":"Benthic foraminiferal census data from Mobile Bay, Alabama--counts of surface samples and box cores","docAbstract":"A study was undertaken in order to understand recent environmental change in Mobile Bay, Alabama. For this study a series of surface sediment and box core samples was collected. The surface benthic foraminiferal data provide the modern baseline conditions of the bay and can be used as a reference for changing paleoenvironmental parameters recorded in the box cores. The 14 sampling locations were chosen in the bay to cover the wide diversity of fluvial and marine-influenced environments on both sides of the shipping channel.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds704","usgsCitation":"Richwine, K.A., and Osterman, L.E., 2012, Benthic foraminiferal census data from Mobile Bay, Alabama--counts of surface samples and box cores: U.S. Geological Survey Data Series 704, HTML Document; XLS Downloads of Tables 1-12, https://doi.org/10.3133/ds704.","productDescription":"HTML Document; XLS Downloads of Tables 1-12","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":259372,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_704.jpg"},{"id":259354,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/704/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile Bay","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f0b8e4b0c8380cd4a896","contributors":{"authors":[{"text":"Richwine, Kathryn A. krichwine@usgs.gov","contributorId":5004,"corporation":false,"usgs":true,"family":"Richwine","given":"Kathryn","email":"krichwine@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osterman, Lisa E. osterman@usgs.gov","contributorId":3058,"corporation":false,"usgs":true,"family":"Osterman","given":"Lisa","email":"osterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466013,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039350,"text":"70039350 - 2012 - Adult tree swallow survival on the polychlorinated biphenyl-contaminated Hudson River, New York, USA, between 2006 and 2010","interactions":[],"lastModifiedDate":"2012-08-03T01:02:04","indexId":"70039350","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Adult tree swallow survival on the polychlorinated biphenyl-contaminated Hudson River, New York, USA, between 2006 and 2010","docAbstract":"The upper Hudson River basin in east central New York, USA, is highly contaminated, primarily with polychlorinated biphenyls (PCBs). Reduced adult survival has been documented in tree swallows (<i>Tachycineta bicolor</i>) at a similarly PCB-contaminated river system in western Massachusetts. The purpose of the present study was to assess whether adult survival of tree swallows was likewise affected in the Hudson River basin. Between 2006 and 2010, a total of 521 female tree swallows were banded, of which 148 were retrapped at least once. The authors used Program MARK and an information theoretic approach to test the hypothesis that PCB contamination reduced annual survival of female tree swallows. The model that best described the processes that generated the capture history data included covariate effects of year and female plumage coloration on survival but not PCB/river. Annual survival rates of brown-plumaged females (mostly one year old) were generally lower (mean phi = 0.39) than those of blue-plumaged females (mean phi = 0.50, one year or older). Poor early spring weather in 2007 was associated with reduced survival in both plumage-color groups compared to later years. Models with the effects of PCB exposure on survival (all &Delta;AICc values &#62;5.0) received little support.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/etc.1894","usgsCitation":"Custer, C.M., Custer, T.W., and Hines, J., 2012, Adult tree swallow survival on the polychlorinated biphenyl-contaminated Hudson River, New York, USA, between 2006 and 2010: Environmental Toxicology and Chemistry, v. 31, no. 8, p. 1788-1792, https://doi.org/10.1002/etc.1894.","productDescription":"5 p.","startPage":"1788","endPage":"1792","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":259407,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.1894"},{"id":259410,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Upper Hudson River Basin","volume":"31","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-05-25","publicationStatus":"PW","scienceBaseUri":"5059e6ffe4b0c8380cd477ae","contributors":{"authors":[{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":466116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Custer, Thomas W. 0000-0003-3170-6519 tcuster@usgs.gov","orcid":"https://orcid.org/0000-0003-3170-6519","contributorId":2835,"corporation":false,"usgs":true,"family":"Custer","given":"Thomas","email":"tcuster@usgs.gov","middleInitial":"W.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":466117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":466118,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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