{"pageNumber":"624","pageRowStart":"15575","pageSize":"25","recordCount":68919,"records":[{"id":70045021,"text":"ofr20121225 - 2013 - Web-based flood database for Colorado, water years 1867 through 2011","interactions":[],"lastModifiedDate":"2013-03-27T09:10:10","indexId":"ofr20121225","displayToPublicDate":"2013-03-27T00:00:00","publicationYear":"2013","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":"2012-1225","title":"Web-based flood database for Colorado, water years 1867 through 2011","docAbstract":"In order to provide a centralized repository of flood information for the State of Colorado, the U.S. Geological Survey, in cooperation with the Colorado Department of Transportation, created a Web-based geodatabase for flood information from water years 1867 through 2011 and data for paleofloods occurring in the past 5,000 to 10,000 years. The geodatabase was created using the Environmental Systems Research Institute ArcGIS JavaScript Application Programing Interface 3.2. The database can be accessed at http://cwscpublic2.cr.usgs.gov/projects/coflood/COFloodMap.html.\n\nData on 6,767 flood events at 1,597 individual sites throughout Colorado were compiled to generate the flood database. The data sources of flood information are indirect discharge measurements that were stored in U.S. Geological Survey offices (water years 1867–2011), flood data from indirect discharge measurements referenced in U.S. Geological Survey reports (water years 1884–2011), paleoflood studies from six peer-reviewed journal articles (data on events occurring in the past 5,000 to 10,000 years), and the U.S. Geological Survey National Water Information System peak-discharge database (water years 1883–2010). A number of tests were performed on the flood database to ensure the quality of the data. The Web interface was programmed using the Environmental Systems Research Institute ArcGIS JavaScript Application Programing Interface 3.2, which allows for display, query, georeference, and export of the data in the flood database. The data fields in the flood database used to search and filter the database include hydrologic unit code, U.S. Geological Survey station number, site name, county, drainage area, elevation, data source, date of flood, peak discharge, and field method used to determine discharge. Additional data fields can be viewed and exported, but the data fields described above are the only ones that can be used for queries.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121225","collaboration":"Prepared in cooperation with the Colorado Department of Transportation","usgsCitation":"Kohn, M.S., Jarrett, R.D., Krammes, G.S., and Mommandi, A., 2013, Web-based flood database for Colorado, water years 1867 through 2011: U.S. Geological Survey Open-File Report 2012-1225, vi, 26 p., https://doi.org/10.3133/ofr20121225.","productDescription":"vi, 26 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1867-09-30","temporalEnd":"2011-09-30","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":270312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121225.gif"},{"id":270310,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1225/"},{"id":270311,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1225/OF12-1225-508.pdf"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,37.0 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,37.0 ], [ -109.0,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515406e1e4b030c71ee06717","contributors":{"authors":[{"text":"Kohn, Michael S. 0000-0002-5989-7700 mkohn@usgs.gov","orcid":"https://orcid.org/0000-0002-5989-7700","contributorId":4549,"corporation":false,"usgs":true,"family":"Kohn","given":"Michael","email":"mkohn@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarrett, Robert D. rjarrett@usgs.gov","contributorId":2260,"corporation":false,"usgs":true,"family":"Jarrett","given":"Robert","email":"rjarrett@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":476633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krammes, Gary S. gkrammes@usgs.gov","contributorId":5102,"corporation":false,"usgs":true,"family":"Krammes","given":"Gary","email":"gkrammes@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":476635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mommandi, Amanullah","contributorId":40874,"corporation":false,"usgs":true,"family":"Mommandi","given":"Amanullah","email":"","affiliations":[],"preferred":false,"id":476636,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045003,"text":"ofr20131053 - 2013 - Baseline data for evaluating development trajectory and provision of ecosystem services of created fringing oyster reefs in Vermilion Bay, Louisiana","interactions":[],"lastModifiedDate":"2013-03-26T13:40:29","indexId":"ofr20131053","displayToPublicDate":"2013-03-26T00:00:00","publicationYear":"2013","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":"2013-1053","title":"Baseline data for evaluating development trajectory and provision of ecosystem services of created fringing oyster reefs in Vermilion Bay, Louisiana","docAbstract":"Understanding the time frame in which ecosystem services (that is, water quality maintenance, shoreline protection, habitat provision) are expected to be provided is important when restoration projects are being designed and implemented. Restoration of three-dimensional shell habitats in coastal Louisiana and elsewhere presents a valuable and potentially self-sustaining approach to providing shoreline protection, enhancing nekton habitat, and providing water quality maintenance. As with most restoration projects, the development of expected different ecosystem services often occurs over varying time frames, with some services provided immediately and others taking longer to develop.\n\nThis project was designed initially to compare the provision and development of ecosystem services by created fringing shoreline reefs in subtidal and intertidal environments in Vermilion Bay, Louisiana. Specifically, the goal was to test the null hypothesis that over time, the oyster recruitment and development of a sustainable oyster reef community would be similar at both intertidal and subtidal reef bases, and these sustainable reefs would in time provide similar shoreline stabilization, nekton habitat, and water quality services over similar time frames. Because the ecosystem services hypothesized to be provided by oyster reefs reflect long-term processes, fully testing the above-stated null hypothesis requires a longer-time frame than this project allowed. As such, this project was designed to provide the initial data on reef development and provision of ecosystem services, to identify services that may develop immediately, and to provide baseline data to allow for longer-term follow up studies tracking reef development over time.\n\nUnfortunately, these initially created reef bases (subtidal, intertidal) were not constructed as planned because of the Deepwater Horizon oil spill in April 2010, which resulted in reef duplicates being created 6 months apart. Further confounding the project were additional construction and restoration projects along the same shorelines which occurred between 2011 and June 2012. Because of constant activity near and around the reefs and continuing construction, development trajectories could not be compared among reef types at this time. This report presents the data collected at the sites over 3 years (2010–2012), describing only conditions and trends. In addition, these data provide an extensive and detailed dataset documenting initial conditions and initial ecosystem changes which will prove valuable in future data collection and analyses of reef development at this site.\n\nData collection characterized the local water quality conditions (salinity, temperature, total suspended sediments, dissolved oxygen, chlorophyll a), adjacent marsh vegetation, soils, and shoreline position along the project shoreline at Vermilion Bay. During the study, marsh vegetation and soil characteristics were similar across the study area and did not change over time. Shoreline movement indicated shoreline loss at all sites, which varied by reefs. Water quality conditions followed expected seasonal patterns for this region, and no significant nonseasonal changes were measured throughout the study period. Despite oyster recruitment in fall 2010 and 2011, few if any oysters survived from the 2010 year class to 2012. At the last sampling of this project, some oysters recruited in fall 2011 survived through 2012, resulting in an on-reef density of 18.3 ± 2.1 individuals per square meter (mean size: 85.6 ± 2.2 millimeters). Because project goals were to compare reef development and provision of ecosystem services over time, as well as many of the processes identified for monitoring reflect long-term processes, results and data are presented only qualitatively, and trends or observations should be interpreted cautiously at this point. Measurable system responses to reef establishment require more time than was available for this study. These data provide a valuable baseline that can be ultimately used to help inform site selections for future restoration projects as well to further investigate the development trajectories of ecosystem provision of created reefs in this region.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131053","collaboration":"Prepared in cooperation with the Louisiana State University Agricultural Center","usgsCitation":"La Peyre, M., Schwarting, L., and Miller, S., 2013, Baseline data for evaluating development trajectory and provision of ecosystem services of created fringing oyster reefs in Vermilion Bay, Louisiana: U.S. Geological Survey Open-File Report 2013-1053, vi, 43 p., https://doi.org/10.3133/ofr20131053.","productDescription":"vi, 43 p.","numberOfPages":"49","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"links":[{"id":270142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131053.gif"},{"id":270140,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1053/"},{"id":270141,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1053/OFR13-1053.pdf"}],"country":"United States","state":"Louisiana","otherGeospatial":"Vermilion Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.214068,29.605755 ], [ -92.214068,29.857735 ], [ -91.783144,29.857735 ], [ -91.783144,29.605755 ], [ -92.214068,29.605755 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152b552e4b01197b08e9bd9","contributors":{"authors":[{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarting, Lindsay","contributorId":56125,"corporation":false,"usgs":true,"family":"Schwarting","given":"Lindsay","email":"","affiliations":[],"preferred":false,"id":476591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Shea","contributorId":103544,"corporation":false,"usgs":true,"family":"Miller","given":"Shea","email":"","affiliations":[],"preferred":false,"id":476593,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045012,"text":"fs20123136 - 2013 - California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project--shallow aquifer assessment","interactions":[{"subject":{"id":70045012,"text":"fs20123136 - 2013 - California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project--shallow aquifer assessment","indexId":"fs20123136","publicationYear":"2013","noYear":false,"title":"California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project--shallow aquifer assessment"},"predicate":"SUPERSEDED_BY","object":{"id":70252088,"text":"fs20243002 - 2024 - California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project: Domestic-Supply Assessment","indexId":"fs20243002","publicationYear":"2024","noYear":false,"title":"California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project: Domestic-Supply Assessment"},"id":1}],"supersededBy":{"id":70252088,"text":"fs20243002 - 2024 - California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project: Domestic-Supply Assessment","indexId":"fs20243002","publicationYear":"2024","noYear":false,"title":"California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project: Domestic-Supply Assessment"},"lastModifiedDate":"2024-03-14T18:22:18.787833","indexId":"fs20123136","displayToPublicDate":"2013-03-26T00:00:00","publicationYear":"2013","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":"2012-3136","title":"California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project--shallow aquifer assessment","docAbstract":"The California State Water Resources Control Board’s (SWRCB) GAMA Program is a comprehensive assessment of statewide groundwater quality in California. From 2004 to 2012, the GAMA Program’s Priority Basin Project focused on assessing groundwater resources used for public drinking-water supplies. More than 2,000 public-supply wells were sampled by U.S. Geological Survey (USGS) for this effort. Starting in 2012, the GAMA Priority Basin Project began an assessment of water resources in shallow aquifers in California. These shallow aquifers provide water for domestic and small community-supply wells, which are often drilled to shallower depths in the groundwater system than public-supply wells. Shallow aquifers are of interest because shallow groundwater may respond more quickly and be more susceptible to contamination from human activities at the land surface, than the deeper aquifers. The SWRCB’s GAMA Program was developed in response to the Groundwater Quality Monitoring Act of 2001 (Water Code sections 10780-10782.3): a public mandate to assess and monitor the quality of groundwater resources used for drinking-water supplies, and to increase the availability of information about groundwater quality to the public. The U.S. Geological Survey is the technical lead of the Priority Basin Project.\n\nStewardship of California’s groundwater resources is a responsibility shared between well owners, communities, and the State. Participants and collaborators in the GAMA Program include Regional Water Quality Control Boards, Department of Water Resources, Department of Public Health, local and regional groundwater management entities, county and local water agencies, community groups, and private citizens. Well-owner participation in the GAMA Program is entirely voluntary.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123136","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"U.S. Geological Survey, 2018, California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project—Shallow aquifer assessment (ver. 1.1, September 2018): U.S. Geological Survey Fact Sheet 2012–3136, 2 p.","productDescription":"2 p.","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":357265,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2012/3136/pdf/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"Fact Sheet 2012-3136"},{"id":270226,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":270224,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3136/"},{"id":270225,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3136/pdf/fs20123136_v1.1.pdf","size":"1.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2012-3136"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.0 ], [ -114.13,42.0 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","edition":"Ver. 1.1: Sept. 2018; Ver. 1.0: March 2013","publishedDate":"2013-03-26","revisedDate":"2018-09-14","noUsgsAuthors":false,"publicationDate":"2013-03-26","publicationStatus":"PW","scienceBaseUri":"5152b561e4b01197b08e9bdd","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535460,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045004,"text":"ofr20131040 - 2013 - Preliminary assessment of bioengineered fringing shoreline reefs in Grand Isle and Breton Sound, Louisiana","interactions":[],"lastModifiedDate":"2013-03-26T13:56:33","indexId":"ofr20131040","displayToPublicDate":"2013-03-26T00:00:00","publicationYear":"2013","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":"2013-1040","title":"Preliminary assessment of bioengineered fringing shoreline reefs in Grand Isle and Breton Sound, Louisiana","docAbstract":"Restoration of three-dimensional shell habitats in coastal Louisiana presents a valuable and potentially self-sustaining approach to providing shoreline protection and critical nekton habitat and may contribute to water quality maintenance. The use of what has been called “living shorelines” is particularly promising because in addition to the hypothesized shoreline protection services, it is predicted that, if built and located in viable sites, these living shorelines may ultimately contribute to water quality maintenance through filtration of bivalves and may enhance nekton habitat. This approach, however, has not been tested extensively in different shallow water estuarine settings; understanding under what conditions a living shoreline must have to support a sustainable oyster population, and where these reefs may provide valuable shoreline protection, is key to ensuring that this approach provides an effective tool for coastal restoration. This project gathered preliminary data on the sustainability and shoreline stabilization of three large bioengineered fringing reefs located in Grand Isle, Lake Eloi, and Lake Fortuna, Louisiana. We collected preconstruction and postconstruction physiochemical and biological data by using a before-after-control-impact approach to evaluate the effectiveness of these living shoreline structures on reducing marsh erosion, enabling reef sustainability, and providing other ecosystem benefits. Although this project was originally designed to compare reef performance and impacts across three different locations over 2 years, delays in construction because of the Deepwater Horizon oil spill resulted in reefs being built from 12 to 18 months later than anticipated. As a result, monitoring postconstruction was severely limited. One reef, Grand Isle, was completed in March 2011 and monitored up to 18 months postcreation, whereas Lake Eloi and Lake Fortuna reefs were not completed until January 2012, and only 8 months of postconstruction data are available. Data for the latter two sites thus reflect only the 2012 spring/summer seasons, which were further impacted by a direct hit by Hurricane Isaac in August 2012, which resulted in shoreward movement of approximately 14 percent of the bioengineered structures at Lake Fortuna. Given the shortened monitoring timeframe and significant differences in construction schedules, we were not able to provide a full postconstruction assessment of the sites or a full comparison of site success based on local site characteristics. Because many of the impacts that were identified for monitoring reflect long-term processes, results and data presented should be interpreted cautiously. Sustainable oyster reefs require recruitment, growth, and survival at a rate that keeps pace with mortality and shell disarticulation. Although one site failed to recruit (establishment plus survival > 50 millimeters [mm]) over two spawning seasons, two sites only had 6 months postconstruction data available for assessment. Although there are good data on the requirements for oyster growth, there is limited explicit information on the site-specific water quality, hydrodynamic, and biological interaction effects that may determine successful reef establishment. Furthermore, interannual variability can significantly affect reef establishment, and our shortened timeframe of sampling (less than one spawning season for two of the reefs; two spawning seasons for one reef), combined with a lack of prerestoration monitoring data, limit our ability to draw any conclusions about long-term reef sustainability. Bioengineered reefs are thought to provide some benefits to shoreline stabilization through their structure by immediately attenuating wave energies and directly reducing erosion rates at shorelines sheltered by the reefs but also by increasing sediment deposition behind the reefs. Preliminary data indicate differences in reef impact by site; given the short timeframe of postconstruction data at two of the sites, and differences in reef placement between sites, however, it is difficult to draw any conclusions. Longer-term data collection and further analyses comparing reef placement; local wind, wave energy, sediment transport processes; and local bathymetry may help in parameterizing sites where fringing reefs may be most beneficial for shoreline protection. In addition to basic reef sustainability and shoreline stabilization, we measured both water quality parameters and nekton abundances around the newly created reefs and adjacent reference sites. Within the timeframe of monitoring, no effect of reefs on water quality was detected at any site. Given that water quality effects are hypothesized to result from the filtration activities of bivalves, and reefs either failed to recruit (settlement plus survival to > 50 mm) or successfully recruited but only had a couple months of growth prior to this report, it was not expected that an effect would be detectable in this timeframe. Nekton such as blue crab, gulf menhaden, and anchovies were found to be more abundant on the reefs; larger, more transient species were not found to be affected by reef presence. Future work examining smaller organisms and juveniles, including more explicit studies examining why and how these organisms preferentially use oyster reefs, would be useful in the design of other bioengineered reefs and help in understanding the role of the reefs in supporting the nekton community. It is clear from the initial work that ensuring correct site selection by better understanding what local site factors influence oyster populations is key to establishing successful living shoreline reefs. Ultimately, the success of the reefs in providing any ecosystem service relies on their ability to build a viable oyster population that is self-sustaining over the long term. As many of the ecosystem processes hypothesized to result from reefs develop over the long term (4–6 years), some level of monitoring over the next few years is highly recommended in order to accurately assess the long term viability of the reefs, their provision of ecosystem services, and to provide better guidance for future projects.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131040","collaboration":"Prepared in cooperation with the Louisiana State University Agricultural Center","usgsCitation":"La Peyre, M., Schwarting, L., and Miller, S., 2013, Preliminary assessment of bioengineered fringing shoreline reefs in Grand Isle and Breton Sound, Louisiana: U.S. Geological Survey Open-File Report 2013-1040, vi, 34 p., https://doi.org/10.3133/ofr20131040.","productDescription":"vi, 34 p.","numberOfPages":"40","onlineOnly":"Y","costCenters":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"links":[{"id":270145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131040.gif"},{"id":270143,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1040/OFR13-1040.pdf"},{"id":270144,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1040/"}],"country":"United States","state":"Louisiana","otherGeospatial":"Breton Sound;Grand Isle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.7526,28.9553 ], [ -90.7526,30.1784 ], [ -89.1431,30.1784 ], [ -89.1431,28.9553 ], [ -90.7526,28.9553 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152b563e4b01197b08e9be9","contributors":{"authors":[{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarting, Lindsay","contributorId":56125,"corporation":false,"usgs":true,"family":"Schwarting","given":"Lindsay","email":"","affiliations":[],"preferred":false,"id":476594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Shea","contributorId":103544,"corporation":false,"usgs":true,"family":"Miller","given":"Shea","email":"","affiliations":[],"preferred":false,"id":476596,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045002,"text":"fs20133017 - 2013 - Trends and causes of historical wetland loss in coastal Louisiana","interactions":[],"lastModifiedDate":"2013-03-26T13:23:54","indexId":"fs20133017","displayToPublicDate":"2013-03-26T00:00:00","publicationYear":"2013","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":"2013-3017","title":"Trends and causes of historical wetland loss in coastal Louisiana","docAbstract":"Wetland losses in the northern Gulf Coast region of the United States are so extensive that they represent critical concerns to government environmental agencies and natural resource managers. In Louisiana, almost 3,000 square kilometers (km<sup>2</sup>) of low-lying wetlands converted to open water between 1956 and 2004, and billions of dollars in State and Federal funding have been allocated for coastal restoration projects intended to compensate for some of those wetland losses. Recent research at the St. Petersburg Coastal and Marine Science Center (SPCMSC) focused on understanding the physical processes and human activities that contributed to historical wetland loss in coastal Louisiana and the spatial and temporal trends of that loss.\n\nThe physical processes (land-surface subsidence and sediment erosion) responsible for historical wetland loss were quantified by comparing marsh-surface elevations, water depths, and vertical displacements of stratigraphic contacts at 10 study areas in the Mississippi River delta plain and 6 sites at Sabine National Wildlife Refuge (SNWR) in the western chenier plain. The timing and extent of land loss at the study areas was determined by comparing historical maps, aerial photographs, and satellite imagery; the temporal and spatial trends of those losses were compared with historical subsidence rates and hydrocarbon production trends.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133017","usgsCitation":"Bernier, J., 2013, Trends and causes of historical wetland loss in coastal Louisiana: U.S. Geological Survey Fact Sheet 2013-3017, 4 p., https://doi.org/10.3133/fs20133017.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":270137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133017.gif"},{"id":270135,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3017/"},{"id":270136,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3017/pdf/fs2013-3017.pdf"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,33.0195 ], [ -88.8162,33.0195 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152b565e4b01197b08e9bf1","contributors":{"authors":[{"text":"Bernier, Julie","contributorId":36435,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","affiliations":[],"preferred":false,"id":476590,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044988,"text":"ds69F3 - 2013 - Geology and oil and gas assessment of the Todilto Total Petroleum System, San Juan Basin Province, New Mexico and Colorado: Chapter 3 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","interactions":[],"lastModifiedDate":"2013-03-26T08:48:24","indexId":"ds69F3","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"69-F-3","title":"Geology and oil and gas assessment of the Todilto Total Petroleum System, San Juan Basin Province, New Mexico and Colorado: Chapter 3 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","docAbstract":"Organic-rich, shaly limestone beds, which contain hydrocarbon source beds in the lower part of the Jurassic Todilto Limestone Member of the Wanakah Formation, and sandstone reservoirs in the overlying Jurassic Entrada Sandstone, compose the Todilto Total Petroleum System (TPS). Source rock facies of the Todilto Limestone were deposited in a combined marine-lacustrine depositional setting. Sandstone reservoirs in the Entrada Sandstone were deposited in eolian depositional environments. Oil in Todilto source beds was generated beginning in the middle Paleocene, about 63 million years ago, and maximum generation of oil occurred in the middle Eocene. In the northern part of the San Juan Basin, possible gas and condensate were generated in Todilto Limestone Member source beds until the middle Miocene. The migration distance of oil from the Todilto source beds into the underlying Entrada Sandstone reservoirs was short, probably within the dimensions of a single dune crest. Traps in the Entrada are mainly stratigraphic and diagenetic. Regional tilt of the strata to the northeast has influenced structural trapping of oil, but also allowed for later introduction of water. Subsequent hydrodynamic forces have influenced the repositioning of the oil in some reservoirs and flushing in others. Seals are mostly the anhydrite and limestone facies of the Todilto, which thin to as little as 10 ft over the crests of the dunes. The TPS contains only one assessment unit, the Entrada Sandstone Conventional Oil Assessment Unit (AU) (50220401). Only four of the eight oil fields producing from the Entrada met the 0.5 million barrels of oil minimum size used for this assessment. The AU was estimated at the mean to have potential additions to reserves of 2.32 million barrels of oil (MMBO), 5.56 billion cubic feet of natural gas (BCFG), and 0.22 million barrels of natural gas liquids (MMBNGL).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado (DS 69-F)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69F3","collaboration":"This report is Chapter 3 in Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado (DS 69-F)","usgsCitation":"Ridgley, J., and Hatch, J.R., 2013, Geology and oil and gas assessment of the Todilto Total Petroleum System, San Juan Basin Province, New Mexico and Colorado: Chapter 3 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>: U.S. Geological Survey Data Series 69-F-3, iv, 29 p., https://doi.org/10.3133/ds69F3.","productDescription":"iv, 29 p.","numberOfPages":"33","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":270100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/"},{"id":270102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69f3.gif"},{"id":270101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/REPORTS/Chapter3_508.pdf"}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,31.33 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,31.33 ], [ -109.0,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152c38ee4b01197b08e9ca0","contributors":{"authors":[{"text":"Ridgley, J.L.","contributorId":17307,"corporation":false,"usgs":true,"family":"Ridgley","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":476569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatch, J. R.","contributorId":14775,"corporation":false,"usgs":true,"family":"Hatch","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":476568,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044931,"text":"ofr20131025 - 2013 - Landscape consequences of natural gas extraction in Allegheny and Susquehanna Counties, Pennsylvania, 2004--2010","interactions":[],"lastModifiedDate":"2013-03-25T09:27:57","indexId":"ofr20131025","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","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":"2013-1025","title":"Landscape consequences of natural gas extraction in Allegheny and Susquehanna Counties, Pennsylvania, 2004--2010","docAbstract":"Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing unconventional hydrocarbon-rich geologic formations, have led to an intense effort to find and extract natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Coalbed methane, which is sometimes extracted using the same technique, is commonly located in the same general area as the Marcellus Shale and is frequently developed in clusters of wells across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Allegheny County and Susquehanna County in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131025","usgsCitation":"Slonecker, E., Milheim, L., Roig-Silva, C., and Malizia, A., 2013, Landscape consequences of natural gas extraction in Allegheny and Susquehanna Counties, Pennsylvania, 2004--2010: U.S. Geological Survey Open-File Report 2013-1025, v, 33 p., https://doi.org/10.3133/ofr20131025.","productDescription":"v, 33 p.","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":269980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131025.gif"},{"id":269978,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1025/"},{"id":269979,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1025/OFR2013_1025.pdf"}],"country":"United States","state":"Pennsylvania","county":"Allegheny County;Susquehanna County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.616,39.8197 ], [ -80.616,42.4619 ], [ -75.1771,42.4619 ], [ -75.1771,39.8197 ], [ -80.616,39.8197 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163e6e4b087909f0bbe4f","contributors":{"authors":[{"text":"Slonecker, E.T.","contributorId":41132,"corporation":false,"usgs":true,"family":"Slonecker","given":"E.T.","email":"","affiliations":[],"preferred":false,"id":476481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milheim, L.E.","contributorId":106320,"corporation":false,"usgs":true,"family":"Milheim","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":476484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roig-Silva, C.M.","contributorId":45176,"corporation":false,"usgs":true,"family":"Roig-Silva","given":"C.M.","affiliations":[],"preferred":false,"id":476482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malizia, A.R.","contributorId":98991,"corporation":false,"usgs":true,"family":"Malizia","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":476483,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044971,"text":"fs20133009 - 2013 - Fort Collins Science Center Ecosystem Dynamics branch--interdisciplinary research for addressing complex natural resource issues across landscapes and time","interactions":[],"lastModifiedDate":"2016-07-14T13:56:17","indexId":"fs20133009","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","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":"2013-3009","title":"Fort Collins Science Center Ecosystem Dynamics branch--interdisciplinary research for addressing complex natural resource issues across landscapes and time","docAbstract":"<p>The Ecosystem Dynamics Branch of the Fort Collins Science Center offers an interdisciplinary team of talented and creative scientists with expertise in biology, botany, ecology, geology, biogeochemistry, physical sciences, geographic information systems, and remote-sensing, for tackling complex questions about natural resources. As demand for natural resources increases, the issues facing natural resource managers, planners, policy makers, industry, and private landowners are increasing in spatial and temporal scope, often involving entire regions, multiple jurisdictions, and long timeframes. Needs for addressing these issues include (1) a better understanding of biotic and abiotic ecosystem components and their complex interactions; (2) the ability to easily monitor, assess, and visualize the spatially complex movements of animals, plants, water, and elements across highly variable landscapes; and (3) the techniques for accurately predicting both immediate and long-term responses of system components to natural and human-caused change. The overall objectives of our research are to provide the knowledge, tools, and techniques needed by the U.S. Department of the Interior, state agencies, and other stakeholders in their endeavors to meet the demand for natural resources while conserving biodiversity and ecosystem services. Ecosystem Dynamics scientists use field and laboratory research, data assimilation, and ecological modeling to understand ecosystem patterns, trends, and mechanistic processes. This information is used to predict the outcomes of changes imposed on species, habitats, landscapes, and climate across spatiotemporal scales. The products we develop include conceptual models to illustrate system structure and processes; regional baseline and integrated assessments; predictive spatial and mathematical models; literature syntheses; and frameworks or protocols for improved ecosystem monitoring, adaptive management, and program evaluation. The descriptions in this fact sheet provide snapshots of our three research emphases, followed by descriptions of select current projects.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133009","usgsCitation":"Bowen, Z.H., Melcher, C.P., and Wilson, J.T., 2013, Fort Collins Science Center Ecosystem Dynamics branch--interdisciplinary research for addressing complex natural resource issues across landscapes and time: U.S. Geological Survey Fact Sheet 2013-3009, 4 p., https://doi.org/10.3133/fs20133009.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":270011,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3009/FS13-3009.pdf"},{"id":270012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133009.gif"},{"id":270010,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3009/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163e2e4b087909f0bbe3f","contributors":{"authors":[{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":476535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melcher, Cynthia P. 0000-0002-8044-9689 melcherc@usgs.gov","orcid":"https://orcid.org/0000-0002-8044-9689","contributorId":5094,"corporation":false,"usgs":true,"family":"Melcher","given":"Cynthia","email":"melcherc@usgs.gov","middleInitial":"P.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":476536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Juliette T.","contributorId":86439,"corporation":false,"usgs":true,"family":"Wilson","given":"Juliette","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":476537,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044975,"text":"tm6D2 - 2013 - CRT--Cascade Routing Tool to define and visualize flow paths for grid-based watershed models","interactions":[],"lastModifiedDate":"2013-03-25T16:12:26","indexId":"tm6D2","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-D2","title":"CRT--Cascade Routing Tool to define and visualize flow paths for grid-based watershed models","docAbstract":"The U.S. Geological Survey Cascade Routing Tool (CRT) is a computer application for watershed models that include the coupled Groundwater and Surface-water FLOW model, GSFLOW, and the Precipitation-Runoff Modeling System (PRMS). CRT generates output to define cascading surface and shallow subsurface flow paths for grid-based model domains. CRT requires a land-surface elevation for each hydrologic response unit (HRU) of the model grid; these elevations can be derived from a Digital Elevation Model raster data set of the area containing the model domain. Additionally, a list is required of the HRUs containing streams, swales, lakes, and other cascade termination features along with indices that uniquely define these features. Cascade flow paths are determined from the altitudes of each HRU. Cascade paths can cross any of the four faces of an HRU to a stream or to a lake within or adjacent to an HRU. Cascades can terminate at a stream, lake, or HRU that has been designated as a watershed outflow location.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section D: Ground-Water/Surface-Water in Book 6: <i>Modeling Techniques</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6D2","collaboration":"Groundwater Resources Program; This report is Chapter 2 of Section D: Ground-Water/Surface-Water in Book 6: <i>Modeling Techniques</i>","usgsCitation":"Henson, W., Medina, R.L., Mayers, C.J., Niswonger, R., and Regan, R., 2013, CRT--Cascade Routing Tool to define and visualize flow paths for grid-based watershed models: U.S. Geological Survey Techniques and Methods 6-D2, Pamphlet: vii, 28 p.; Software, https://doi.org/10.3133/tm6D2.","productDescription":"Pamphlet: vii, 28 p.; Software","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":270035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm6D2.jpg"},{"id":270034,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://water.usgs.gov/ogw/CRT/"},{"id":270032,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm6d2/"},{"id":270033,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm6d2/pdf/tm6-D2.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163d2e4b087909f0bbe2b","contributors":{"authors":[{"text":"Henson, Wesley R. 0000-0003-4962-5565","orcid":"https://orcid.org/0000-0003-4962-5565","contributorId":96561,"corporation":false,"usgs":true,"family":"Henson","given":"Wesley R.","affiliations":[],"preferred":false,"id":476548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medina, Rose L. 0000-0002-3463-7224 rlmedina@usgs.gov","orcid":"https://orcid.org/0000-0002-3463-7224","contributorId":4378,"corporation":false,"usgs":true,"family":"Medina","given":"Rose","email":"rlmedina@usgs.gov","middleInitial":"L.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayers, C. Justin cjmayers@usgs.gov","contributorId":94745,"corporation":false,"usgs":true,"family":"Mayers","given":"C.","email":"cjmayers@usgs.gov","middleInitial":"Justin","affiliations":[],"preferred":false,"id":476547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":476545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regan, R.S.","contributorId":51794,"corporation":false,"usgs":true,"family":"Regan","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":476546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044976,"text":"sim3251 - 2013 - Flood-inundation maps for the White River at Spencer, Indiana","interactions":[],"lastModifiedDate":"2013-03-25T16:53:52","indexId":"sim3251","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","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":"3251","title":"Flood-inundation maps for the White River at Spencer, Indiana","docAbstract":"Digital flood-inundation maps for a 5.3-mile reach of the White River at Spencer, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Office of Community and Rural Affairs. 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 White River at Spencer, Indiana (sta. no. 03357000). Current conditions for estimating near-real-time areas of inundation using USGS streamgage information may be obtained on the Internet at http://waterdata.usgs.gov/. National Weather Service (NWS)-forecasted peak-stage inforamation may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the most current stage-discharge relation at the White River at Spencer, Indiana, streamgage and documented high-water marks from the flood of June 8, 2008. The hydraulic model was then used to compute 20 water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from the NWS action stage (9 feet) to the highest rated stage (28 feet) at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level. The availability of these maps along with Internet information regarding the current stage from the Spencer USGS streamgage and forecasted stream stages from the NWS will provide emergency management personnel and residents with information that is critical for 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/sim3251","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Nystrom, E.A., 2013, Flood-inundation maps for the White River at Spencer, Indiana: U.S. Geological Survey Scientific Investigations Map 3251, Pamphlet: vi, 8 p.; 20 Sheets: Low Resolution JPGs; 20 Sheets: 17 x 22 inches; Downloads Directory; ReadMe; Grids; Polygons; Metadata, https://doi.org/10.3133/sim3251.","productDescription":"Pamphlet: vi, 8 p.; 20 Sheets: Low Resolution JPGs; 20 Sheets: 17 x 22 inches; Downloads Directory; ReadMe; Grids; Polygons; Metadata","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":270050,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet01_534.63_SIM3251.pdf"},{"id":270051,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet02_535.63_SIM3251.pdf"},{"id":270063,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet09_542.63_SIM3251.pdf"},{"id":270053,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet03_536.63_SIM3251.pdf"},{"id":270054,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet04_537.63_SIM3251.pdf"},{"id":270056,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet06_539.63_SIM3251.pdf"},{"id":270064,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet10_543.63_SIM3251.pdf"},{"id":270068,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet12_545.63_SIM3251.pdf"},{"id":270066,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet11_544.63_SIM3251.pdf"},{"id":270069,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet14_547.63_SIM3251.pdf"},{"id":270071,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet13_546.63_SIM3251.pdf"},{"id":270059,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet05_538.63_SIM3251.pdf"},{"id":270060,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet07_540.63_SIM3251.pdf"},{"id":270075,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet16_549.63_SIM3251.pdf"},{"id":270076,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet17_550.63_SIM3251.pdf"},{"id":270062,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet08_541.63_SIM3251.pdf"},{"id":270072,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet15_548.63_SIM3251.pdf"},{"id":270079,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet20_553.63_SIM3251.pdf"},{"id":270087,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3251/Downloads/00Readme.txt"},{"id":270078,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet18_551.63_SIM3251.pdf"},{"id":270088,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3251/Downloads/gis_data/depth_grids/SIM3251_dep_grd_metadata.xml"},{"id":270081,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet19_552.63_SIM3251.pdf"},{"id":270083,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3251/"},{"id":270084,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3251/pdf/sim3251.pdf"},{"id":270086,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3251/Downloads"},{"id":270089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3251.gif"}],"country":"United States","state":"Indiana","city":"Spencer","otherGeospatial":"White River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.783333,39.000000 ], [ -86.783333,39.308333 ], [ -86.733333,39.308333 ], [ -86.733333,39.000000 ], [ -86.783333,39.000000 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163e1e4b087909f0bbe3b","contributors":{"authors":[{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476549,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045000,"text":"ds69F6 - 2013 - Geology and oil and gas assessment of the Fruitland Total Petroleum System, San Juan Basin, New Mexico and Colorado: Chapter 6 in <i>Geology and Oil and Gas Assessment of the Fruitland Total Petroleum System, San Juan Basin, New Mexico and Colorado</i>","interactions":[],"lastModifiedDate":"2013-03-26T13:00:17","indexId":"ds69F6","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"69-F-6","title":"Geology and oil and gas assessment of the Fruitland Total Petroleum System, San Juan Basin, New Mexico and Colorado: Chapter 6 in <i>Geology and Oil and Gas Assessment of the Fruitland Total Petroleum System, San Juan Basin, New Mexico and Colorado</i>","docAbstract":"The Fruitland Total Petroleum System (TPS) of the San Juan Basin Province includes all genetically related hydrocarbons generated from coal beds and organic-rich shales in the Cretaceous Fruitland Formation. Coal beds are considered to be the primary source of the hydrocarbons. Potential reservoir rocks in the Fruitland TPS consist of the Upper Cretaceous Pictured Cliffs Sandstone, Fruitland Formation (both sandstone and coal beds), and the Farmington Sandstone Member of the Kirtland Formation, and the Tertiary Ojo Alamo Sandstone, and Animas, Nacimiento, and San Jose Formations.\nAnalysis of the geochemistry of Fruitland coal-bed gas and co-produced water suggests that hydrocarbons in Fruitland coal beds began to form early in the depositional history of the Fruitland Formation with the generation of early microbial gas. Source rocks in the Fruitland entered the oil generation zone in the late Eocene and continued to generate minor oil and large quantities of thermogenic gas into middle Miocene time. Near the end of the Miocene, thermogenic hydrocarbon generation and subsidence in the San Juan Basin ceased, and the basin was uplifted and differentially eroded. Late-stage (secondary) microbial gas has been documented in Fruitland coal-bed reservoirs and was formed by microbial reduction of carbon dioxide during introduction of groundwater in the late Pliocene and Pleistocene. Most of this late-stage microbial gas is found just downdip from the northern, western, and southern Fruitland outcrops. The northern part of the Fruitland Formation is overpressured as a result of artesian conditions established in the Pliocene or Pleistocene. South and east of the overpressured area, the Fruitland is either normally pressured or underpressured.\nFour assessment units (AU) were defined in the Fruitland TPS. Of the four AUs, one consists of conventional gas accumulations and the other three are continuous-type gas accumulations: Tertiary Conventional Gas AU, Pictured Cliffs Continuous Gas AU, Basin Fruitland Coalbed Gas (CBG) AU, and Fruitland Fairway CBG AU. No oil resources that have the potential for additions to reserves in the next 30 years were estimated for this TPS. Gas resources that have the potential for additions to reserves in the next 30 years are estimated at a mean of 29.3 trillion cubic feet of gas (TCFG). Of this amount, 23.58 TCFG will come from coal-bed gas accumulations and 83.1 percent of this total is estimated to come from the Basin Fruitland CBG AU. The remaining 5.72 TCFG is allocated to continuous-type gas accumulations (5.64 TCFG) and conventional gas accumulations (0.08 TCFG). Although the Fruitland Fairway CBG AU has produced the most significant amount of coal-bed gas to date, the area of the AU is limited. New potentially productive wells will come from infill drilling, and the number of these wells will be limited by effective drainage area. Total natural gas liquids (NGL) that have the potential for additions to reserves in the next 30 years are estimated at a mean of 17.76 million barrels. Of this amount, 16.92 million barrels will come from the Pictured Cliffs Continuous Gas AU and the remainder from the Tertiary Conventional Gas AU.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geology and Oil and Gas Assessment of the Fruitland Total Petroleum System, San Juan Basin, New Mexico and Colorado (DS 69-F)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69F6","collaboration":"This report is Chapter 6 in Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado (DS 69-F)","usgsCitation":"Ridgley, J., Condon, S.M., and Hatch, J.R., 2013, Geology and oil and gas assessment of the Fruitland Total Petroleum System, San Juan Basin, New Mexico and Colorado: Chapter 6 in <i>Geology and Oil and Gas Assessment of the Fruitland Total Petroleum System, San Juan Basin, New Mexico and Colorado</i>: U.S. Geological Survey Data Series 69-F-6, vii, 100 p., https://doi.org/10.3133/ds69F6.","productDescription":"vii, 100 p.","numberOfPages":"108","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":270127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69f6.gif"},{"id":270125,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/"},{"id":270126,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/REPORTS/Chapter6_508.pdf"}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,31.33 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,31.33 ], [ -109.0,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152c38ce4b01197b08e9c98","contributors":{"authors":[{"text":"Ridgley, J.L.","contributorId":17307,"corporation":false,"usgs":true,"family":"Ridgley","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":476586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Condon, S. M.","contributorId":107688,"corporation":false,"usgs":true,"family":"Condon","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":476587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatch, J. R.","contributorId":14775,"corporation":false,"usgs":true,"family":"Hatch","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":476585,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042980,"text":"70042980 - 2013 - Estimating hydraulic properties from tidal attenuation in the Northern Guam Lens Aquifer, territory of Guam, USA","interactions":[],"lastModifiedDate":"2013-04-20T20:21:43","indexId":"70042980","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Estimating hydraulic properties from tidal attenuation in the Northern Guam Lens Aquifer, territory of Guam, USA","docAbstract":"Tidal-signal attenuations are analyzed to compute hydraulic diffusivities and estimate regional hydraulic conductivities of the Northern Guam Lens Aquifer, Territory of Guam (Pacific Ocean), USA. The results indicate a significant tidal-damping effect at the coastal boundary. Hydraulic diffusivities computed using a simple analytical solution for well responses to tidal forcings near the periphery of the island are two orders of magnitude lower than for wells in the island’s interior. Based on assigned specific yields of ~0.01–0.4, estimated hydraulic conductivities are ~20–800 m/day for peripheral wells, and ~2,000–90,000 m/day for interior wells. The lower conductivity of the peripheral rocks relative to the interior rocks may best be explained by the effects of karst evolution: (1) dissolutional enhancement of horizontal hydraulic conductivity in the interior; (2) case-hardening and concurrent reduction of local hydraulic conductivity in the cliffs and steeply inclined rocks of the periphery; and (3) the stronger influence of higher-conductivity regional-scale features in the interior relative to the periphery. A simple numerical model calibrated with measured water levels and tidal response estimates values for hydraulic conductivity and storage parameters consistent with the analytical solution. The study demonstrates how simple techniques can be useful for characterizing regional aquifer properties.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"http://www.springer.com","doi":"10.1007/s10040-012-0949-9","usgsCitation":"Rotzoll, K., Gingerich, S.B., Jenson, J.W., and El-Kadi, A.I., 2013, Estimating hydraulic properties from tidal attenuation in the Northern Guam Lens Aquifer, territory of Guam, USA: Hydrogeology Journal, v. 21, no. 3, p. 643-654, https://doi.org/10.1007/s10040-012-0949-9.","productDescription":"12 p.","startPage":"643","endPage":"654","ipdsId":"IP-038920","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":270019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270018,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-012-0949-9"}],"country":"Guam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.618381,13.246191 ], [ 144.618381,13.654225 ], [ 144.956536,13.654225 ], [ 144.956536,13.246191 ], [ 144.618381,13.246191 ] ] ] } } ] }","volume":"21","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-01-15","publicationStatus":"PW","scienceBaseUri":"515163dee4b087909f0bbe33","contributors":{"authors":[{"text":"Rotzoll, Kolja 0000-0002-5910-888X kolja@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-888X","contributorId":3325,"corporation":false,"usgs":true,"family":"Rotzoll","given":"Kolja","email":"kolja@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":false,"id":472725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenson, John W.","contributorId":23112,"corporation":false,"usgs":true,"family":"Jenson","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":472726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"El-Kadi, Aly I.","contributorId":41702,"corporation":false,"usgs":true,"family":"El-Kadi","given":"Aly","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":472727,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043578,"text":"70043578 - 2013 - Polyphasic characterization of Aeromonas salmonicida isolates recovered from salmonid and non-salmonid fish","interactions":[],"lastModifiedDate":"2013-10-23T08:58:15","indexId":"70043578","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Polyphasic characterization of Aeromonas salmonicida isolates recovered from salmonid and non-salmonid fish","docAbstract":"Michigan's fisheries rely primarily upon the hatchery propagation of salmonid fish for release in public waters. One limitation on the success of these efforts is the presence of bacterial pathogens, including Aeromonas salmonicida, the causative agent of furunculosis. This study was undertaken to determine the prevalence of A. salmonicida in Michigan fish, as well as to determine whether biochemical or gene sequence variability exists among Michigan isolates. A total of 2202 wild, feral and hatchery-propagated fish from Michigan were examined for the presence of A. salmonicida. The examined fish included Chinook salmon, Oncorhynchus tshawytscha (Walbaum), coho salmon, O. kisutcha (Walbaum), steelhead trout, O. mykiss (Walbaum), Atlantic salmon, Salmo salar L., brook trout, Salvelinus fontinalis (Mitchill), and yellow perch, Perca flavescens (Mitchill). Among these, 234 fish yielded a brown pigment-producing bacterium that was presumptively identified as A. salmonicida. Further phenotypic and phylogenetic analyses identified representative isolates as Aeromonas salmonicida subsp. salmonicida and revealed some genetic and biochemical variability. Logistic regression analyses showed that infection prevalence varied according to fish species/strain, year and gender, whereby Chinook salmon and females had the highest infection prevalence. Moreover, this pathogen was found in six fish species from eight sites, demonstrating its widespread nature within Michigan.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Fish Diseases","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/jfd.12092","usgsCitation":"Diamanka, A., Loch, T., Cipriano, R.C., and Faisal, M., 2013, Polyphasic characterization of Aeromonas salmonicida isolates recovered from salmonid and non-salmonid fish: Journal of Fish Diseases, v. 36, no. 11, p. 949-963, https://doi.org/10.1111/jfd.12092.","productDescription":"15 p.","startPage":"949","endPage":"963","ipdsId":"IP-043701","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":270014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270013,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jfd.12092"}],"volume":"36","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-02-27","publicationStatus":"PW","scienceBaseUri":"515163e7e4b087909f0bbe53","contributors":{"authors":[{"text":"Diamanka, A.","contributorId":80154,"corporation":false,"usgs":true,"family":"Diamanka","given":"A.","affiliations":[],"preferred":false,"id":473880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loch, T.P.","contributorId":93358,"corporation":false,"usgs":true,"family":"Loch","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":473881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cipriano, R. C.","contributorId":12400,"corporation":false,"usgs":true,"family":"Cipriano","given":"R.","middleInitial":"C.","affiliations":[],"preferred":false,"id":473878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faisal, M.","contributorId":19116,"corporation":false,"usgs":true,"family":"Faisal","given":"M.","affiliations":[],"preferred":false,"id":473879,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043512,"text":"70043512 - 2013 - Inhibition of bacterial oxidation of ferrous iron by lead nitrate in sulfate-rich systems","interactions":[],"lastModifiedDate":"2013-03-25T11:39:38","indexId":"70043512","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2331,"text":"Journal of Hazardous Materials","active":true,"publicationSubtype":{"id":10}},"title":"Inhibition of bacterial oxidation of ferrous iron by lead nitrate in sulfate-rich systems","docAbstract":"Inhibition of bacterial oxidation of ferrous iron (Fe(II)) by Pb(NO<sub>3</sub>)<sub>2</sub> was investigated with a mixed culture of Acidithiobacillus ferrooxidans. The culture was incubated at 30 °C in ferrous-sulfate medium amended with 0–24.2 mM Pb(II) added as Pb(NO<sub>3</sub>)<sub>2</sub>. Anglesite (PbSO<sub>4</sub>) precipitated immediately upon Pb addition and was the only solid phase detected in the abiotic controls. Both anglesite and jarosite (KFe<sub>3</sub>(SO<sub>4</sub>)<sub>2</sub>(OH)<sub>6</sub>) were detected in inoculated cultures. Precipitation of anglesite maintained dissolved Pb concentrations at 16.9–17.6 μM regardless of the concentrations of Pb(NO<sub>3</sub>)<sub>2</sub> added. Fe(II) oxidation was suppressed by 24.2 mM Pb(NO<sub>3</sub>)<sub>2</sub> addition even when anglesite was removed before inoculation. Experiments with 0–48 mM KNO<sub>3</sub> demonstrated that bacterial Fe(II) oxidation decreased as nitrate concentration increased. Therefore, inhibition of Fe(II) oxidation at 24.2 mM Pb(NO<sub>3</sub>)<sub>2</sub> addition resulted from nitrate toxicity instead of Pb addition. Geochemical modeling that considered the initial precipitation of anglesite to equilibrium followed by progressive oxidation of Fe(II) and the precipitation of jarosite and an amorphous iron hydroxide phase, without allowing plumbojarosite to precipitate were consistent with the experimental time-series data on Fe(II) oxidation under biotic conditions. Anglesite precipitation in mine tailings and other sulfate-rich systems maintains dissolved Pb concentrations below the toxicity threshold of A. ferrooxidans.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hazardous Materials","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jhazmat.2012.11.004","usgsCitation":"Wang, H., Gong, L., Cravotta, C.A., Yang, X., Tuovinen, O.H., Dong, H., and Fu, X., 2013, Inhibition of bacterial oxidation of ferrous iron by lead nitrate in sulfate-rich systems: Journal of Hazardous Materials, v. 244-245, p. 718-725, https://doi.org/10.1016/j.jhazmat.2012.11.004.","productDescription":"8 p.","startPage":"718","endPage":"725","ipdsId":"IP-041560","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":269991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269990,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhazmat.2012.11.004"}],"volume":"244-245","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163e4e4b087909f0bbe47","contributors":{"authors":[{"text":"Wang, Hongmei","contributorId":47663,"corporation":false,"usgs":true,"family":"Wang","given":"Hongmei","affiliations":[],"preferred":false,"id":473743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gong, Linfeng","contributorId":52467,"corporation":false,"usgs":true,"family":"Gong","given":"Linfeng","email":"","affiliations":[],"preferred":false,"id":473745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III, 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":2193,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III,","email":"cravotta@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":473740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, Xiaofen","contributorId":27333,"corporation":false,"usgs":true,"family":"Yang","given":"Xiaofen","email":"","affiliations":[],"preferred":false,"id":473742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tuovinen, Olli H.","contributorId":101165,"corporation":false,"usgs":true,"family":"Tuovinen","given":"Olli","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":473746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dong, Hailiang","contributorId":50802,"corporation":false,"usgs":false,"family":"Dong","given":"Hailiang","affiliations":[{"id":36002,"text":"State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":473744,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fu, Xiang","contributorId":25429,"corporation":false,"usgs":true,"family":"Fu","given":"Xiang","email":"","affiliations":[],"preferred":false,"id":473741,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70040187,"text":"70040187 - 2013 - Effects of the herbicide imazapyr on juvenile Oregon spotted frogs","interactions":[],"lastModifiedDate":"2013-03-24T21:47:55","indexId":"70040187","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","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":"Effects of the herbicide imazapyr on juvenile Oregon spotted frogs","docAbstract":"Conflict between native amphibians and aquatic weed management in the Pacific Northwest is rarely recognized because most native stillwater-breeding amphibian species move upland during summer, when herbicide application to control weeds in aquatic habitats typically occurs. However, aquatic weed management may pose a risk for aquatic species present in wetlands through the summer, such as the Oregon spotted frog (OSF, Rana pretiosa), a state endangered species in Washington. Acute toxicity of herbicides used to control aquatic weeds tends to be low, but the direct effects of herbicide tank mixes on OSFs have remained unexamined. We exposed juvenile OSFs to tank mixes of the herbicide imazapyr, a surfactant, and a marker dye in a 96-h static-renewal test. The tank mix was chosen because of its low toxicity to fish and its effectiveness in aquatic weed control. Concentrations were those associated with low-volume (3.5 L/ha) and high-volume (7.0 L/ha) applications of imazapyr and a clean-water control. Following exposure, frogs were reared for two months in clean water to identify potential latent effects on growth. Endpoints evaluated included feeding behavior, growth, and body and liver condition indices. We recorded no mortalities and found no significant differences for any end point between the herbicide-exposed and clean-water control frogs. The results suggest that imazapyr use in wetland restoration poses a low risk of direct toxic effects on juvenile OSFs.","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.2048","usgsCitation":"Yahnke, A.E., Grue, C.E., Hayes, M.P., and Troiano, A.T., 2013, Effects of the herbicide imazapyr on juvenile Oregon spotted frogs: Environmental Toxicology and Chemistry, v. 32, no. 1, p. 228-235, https://doi.org/10.1002/etc.2048.","productDescription":"8 p.","startPage":"228","endPage":"235","ipdsId":"IP-037715","costCenters":[{"id":621,"text":"Washington Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473902,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.2048","text":"Publisher Index Page"},{"id":269969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269968,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2048"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.5,42.0 ], [ -124.5,46.3 ], [ -116.5,46.3 ], [ -116.5,42.0 ], [ -124.5,42.0 ] ] ] } } ] }","volume":"32","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-11-12","publicationStatus":"PW","scienceBaseUri":"5150125ee4b08df5cb1312c9","contributors":{"authors":[{"text":"Yahnke, Amy E.","contributorId":94940,"corporation":false,"usgs":true,"family":"Yahnke","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":467844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grue, Christian E. cgrue@usgs.gov","contributorId":3354,"corporation":false,"usgs":true,"family":"Grue","given":"Christian","email":"cgrue@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":467842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Marc P.","contributorId":29712,"corporation":false,"usgs":true,"family":"Hayes","given":"Marc","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":467843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Troiano, Alexandra T.","contributorId":97395,"corporation":false,"usgs":true,"family":"Troiano","given":"Alexandra","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":467845,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040199,"text":"70040199 - 2013 - Electrical signatures of ethanol-liquid mixtures: implications for monitoring biofuels migration in the subsurface","interactions":[],"lastModifiedDate":"2013-03-24T22:04:10","indexId":"70040199","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Electrical signatures of ethanol-liquid mixtures: implications for monitoring biofuels migration in the subsurface","docAbstract":"Ethanol (EtOH), an emerging contaminant with potential direct and indirect environmental effects, poses threats to water supplies when spilled in large volumes. A series of experiments was directed at understanding the electrical geophysical signatures arising from groundwater contamination by ethanol. Conductivity measurements were performed at the laboratory scale on EtOH–water mixtures (0 to 0.97 v/v EtOH) and EtOH–salt solution mixtures (0 to 0.99 v/v EtOH) with and without a sand matrix using a conductivity probe and a four-electrode electrical measurement over the low frequency range (1–1000 Hz). A Lichtenecker–Rother (L–R) type mixing model was used to simulate electrical conductivity as a function of EtOH concentration in the mixture. For all three experimental treatments increasing EtOH concentration resulted in a decrease in measured conductivity magnitude (|σ|). The applied L–R model fitted the experimental data at concentration ≤ 0.4 v/v EtOH, presumably due to predominant and symmetric intermolecular (EtOH–water) interaction in the mixture. The deviation of the experimental |σ| data from the model prediction at higher EtOH concentrations may be associated with hydrophobic effects of EtOH–EtOH interactions in the mixture. The |σ| data presumably reflected changes in relative strength of the three types of interactions (water–water, EtOH–water, and EtOH–EtOH) occurring simultaneously in EtOH–water mixtures as the ratio of EtOH to water changed. No evidence of measurable polarization effects at the EtOH–water and EtOH–water–mineral interfaces over the investigated frequency range was found. Our results indicate the potential for using electrical measurements to characterize and monitor EtOH spills in the subsurface.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Contaminant Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jconhyd.2012.10.011","usgsCitation":"Personna, Y.R., Slater, L., Ntarlagiannis, D., Werkema, D.D., and Szabo, Z., 2013, Electrical signatures of ethanol-liquid mixtures: implications for monitoring biofuels migration in the subsurface: Journal of Contaminant Hydrology, v. 144, no. 1, p. 99-107, https://doi.org/10.1016/j.jconhyd.2012.10.011.","productDescription":"9 p.","startPage":"99","endPage":"107","ipdsId":"IP-037076","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":269971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269970,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jconhyd.2012.10.011"}],"volume":"144","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5150125fe4b08df5cb1312cd","contributors":{"authors":[{"text":"Personna, Yves Robert","contributorId":77820,"corporation":false,"usgs":false,"family":"Personna","given":"Yves","email":"","middleInitial":"Robert","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":467878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, Lee","contributorId":55707,"corporation":false,"usgs":false,"family":"Slater","given":"Lee","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":467877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ntarlagiannis, Dimitrios","contributorId":55303,"corporation":false,"usgs":false,"family":"Ntarlagiannis","given":"Dimitrios","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":467876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Werkema, Dale D.","contributorId":40488,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":467875,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":2240,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":467874,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040653,"text":"70040653 - 2013 - Elevated CO2 does not offset greater water stress predicted under climate change for native and exotic riparian plants","interactions":[],"lastModifiedDate":"2021-03-29T17:55:20.653981","indexId":"70040653","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Elevated CO<sub>2</sub> does not offset greater water stress predicted under climate change for native and exotic riparian plants","title":"Elevated CO2 does not offset greater water stress predicted under climate change for native and exotic riparian plants","docAbstract":"<ul class=\"unordered-list\"><li>In semiarid western North American riparian ecosystems, increased drought and lower streamflows under climate change may reduce plant growth and recruitment, and favor drought‐tolerant exotic species over mesic native species. We tested whether elevated atmospheric CO<sub>2</sub><span>&nbsp;</span>might ameliorate these effects by improving plant water‐use efficiency.</li><li>We examined the effects of CO<sub>2</sub><span>&nbsp;</span>and water availability on seedlings of two native (<i>Populus deltoides</i><span>&nbsp;</span>spp.<span>&nbsp;</span><i>monilifera</i>,<i><span>&nbsp;</span>Salix exigua</i>) and three exotic (<i>Elaeagnus angustifolia</i>,<i><span>&nbsp;</span>Tamarix</i><span>&nbsp;</span>spp.,<span>&nbsp;</span><i>Ulmus pumila</i>) western North American riparian species in a CO<sub>2</sub>‐controlled glasshouse, using 1‐m‐deep pots with different water‐table decline rates.</li><li>Low water availability reduced seedling biomass by 70–97%, and hindered the native species more than the exotics. Elevated CO<sub>2</sub><span>&nbsp;</span>increased biomass by 15%, with similar effects on natives and exotics. Elevated CO<sub>2</sub><span>&nbsp;</span>increased intrinsic water‐use efficiency (Δ<sup>13</sup>C<sub>leaf</sub>), but did not increase biomass more in drier treatments than wetter treatments.</li><li>The moderate positive effects of elevated CO<sub>2</sub><span>&nbsp;</span>on riparian seedlings are unlikely to counteract the large negative effects of increased aridity projected under climate change. Our results suggest that increased aridity will reduce riparian seedling growth despite elevated CO<sub>2</sub>, and will reduce growth more for native<span>&nbsp;</span><i>Salix</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Populus</i><span>&nbsp;</span>than for drought‐tolerant exotic species.</li></ul>","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/nph.12030","usgsCitation":"Perry, L., Shafroth, P.B., Blumenthal, D.M., Morgan, J.A., and LeCain, D.R., 2013, Elevated CO2 does not offset greater water stress predicted under climate change for native and exotic riparian plants: New Phytologist, v. 197, no. 2, p. 532-543, https://doi.org/10.1111/nph.12030.","productDescription":"12 p.","startPage":"532","endPage":"543","ipdsId":"IP-042005","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":269973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"197","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-11-21","publicationStatus":"PW","scienceBaseUri":"51501260e4b08df5cb1312d1","contributors":{"authors":[{"text":"Perry, Laura G.","contributorId":45565,"corporation":false,"usgs":true,"family":"Perry","given":"Laura G.","affiliations":[],"preferred":false,"id":468725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":468723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blumenthal, Dana M.","contributorId":83411,"corporation":false,"usgs":true,"family":"Blumenthal","given":"Dana","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morgan, Jack A.","contributorId":66982,"corporation":false,"usgs":true,"family":"Morgan","given":"Jack","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468726,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeCain, Daniel R.","contributorId":15090,"corporation":false,"usgs":true,"family":"LeCain","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":468724,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041623,"text":"70041623 - 2013 - Development and application of an agricultural intensity index to invertebrate and algal metrics from streams at two scales","interactions":[],"lastModifiedDate":"2013-04-04T14:24:55","indexId":"70041623","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Development and application of an agricultural intensity index to invertebrate and algal metrics from streams at two scales","docAbstract":"Research was conducted at 28-30 sites within eight study areas across the United States along a gradient of nutrient enrichment/agricultural land use between 2003 and 2007. Objectives were to test the application of an agricultural intensity index (AG-Index) and compare among various invertebrate and algal metrics to determine indicators of nutrient enrichment nationally and within three regions. The agricultural index was based on total nitrogen and phosphorus input to the watershed, percent watershed agriculture, and percent riparian agriculture. Among data sources, agriculture within riparian zone showed significant differences among values generated from remote sensing or from higher resolution orthophotography; median values dropped significantly when estimated by orthophotography. Percent agriculture in the watershed consistently had lower correlations to invertebrate and algal metrics than the developed AG-Index across all regions. Percent agriculture showed fewer pairwise comparisons that were significant than the same comparisons using the AG-Index. Highest correlations to the AG-Index regionally were −0.75 for Ephemeroptera, Plecoptera, and Trichoptera richness (EPTR) and −0.70 for algae Observed/Expected (O/E), nationally the highest was −0.43 for EPTR vs. total nitrogen and −0.62 for algae O/E vs. AG-Index. Results suggest that analysis of metrics at national scale can often detect large differences in disturbance, but more detail and specificity is obtained by analyzing data at regional scales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/jawr.12032","usgsCitation":"Waite, I.R., 2013, Development and application of an agricultural intensity index to invertebrate and algal metrics from streams at two scales: Journal of the American Water Resources Association, v. 49, no. 2, p. 431-448, https://doi.org/10.1111/jawr.12032.","productDescription":"18 p.","startPage":"431","endPage":"448","ipdsId":"IP-040822","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":269967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269966,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12032"}],"volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-25","publicationStatus":"PW","scienceBaseUri":"5150125de4b08df5cb1312c5","contributors":{"authors":[{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469998,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044920,"text":"70044920 - 2013 - Managing the effects of endocrine disrupting chemicals in wastewater-impacted streams","interactions":[],"lastModifiedDate":"2022-12-27T16:40:06.750716","indexId":"70044920","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"Managing the effects of endocrine disrupting chemicals in wastewater-impacted streams","docAbstract":"A revolution in analytical instrumentation circa 1920 greatly improved the ability to characterize chemical substances. This analytical foundation resulted in an unprecedented explosion in the design and production of synthetic chemicals during and post-World War II. What is now often referred to as the 2nd Chemical Revolution has provided substantial societal benefits; with modern chemical design and manufacturing supporting dramatic advances in medicine, increased food production, and expanding gross domestic products at the national and global scales as well as improved health, longevity, and lifestyle convenience at the individual scale. Presently, the chemical industry is the largest manufacturing sector in the United States (U.S.) and the second largest in Europe and Japan, representing approximately 5% of the Gross Domestic Product (GDP) in each of these countries. At the turn of the 21st century, the chemical industry was estimated to be worth more than $1.6 trillion and to employ over 10 million people, globally.\n\nDuring the first half of the 20th century, the chemical sector expanded rapidly, the chemical industry enjoyed a generally positive status in society, and chemicals were widely appreciated as fundamental to individual and societal quality of life. Starting in the 1960s, however, the environmental costs associated with the chemical industry increasingly became the focus, due in part to the impact of books like “Silent Spring” and “Our Stolen Future” and to a number of highly publicized environmental disasters. Galvanizing chemical industry disasters included the 1976 dioxin leak north of Milan, Italy, the Love Canal evacuations in Niagara, New York beginning in 1978, and the Union Carbide leak in Bhopal, India in 1984.\n\nUnderstanding the environmental impact of synthetic compounds is essential to any informed assessment of net societal benefit, for the simple reason that any chemical substance that is in commercial production or use will eventually find its way to the environment. Not surprisingly given the direct link to profits, manufacturers intensely investigate and routinely document the potential benefits of new chemicals and chemical products. In contrast, the environmental risks associated with chemical production and uses are often investigated less intensely and are poorly communicated.\n\nAn imbalance in the risk-benefit analysis of any synthetic chemical substance or naturally occurring chemical, which presence and concentration in the environment largely reflects human activities and management, is a particular concern owing to the fundamental link between chemistry and biology. Biological organisms are intrinsically a homeostatic balance of innumerable internal and external chemical interactions and, thus, inherently sensitive to changes in the external chemical environment.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Current perspectives in contaminant hydrology and water resources sustainability","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"InTech","publisherLocation":"Rijeka, Croatia","doi":"10.5772/54337","usgsCitation":"Bradley, P.M., and Kolpin, D.W., 2013, Managing the effects of endocrine disrupting chemicals in wastewater-impacted streams, chap. 1 <i>of</i> Current perspectives in contaminant hydrology and water resources sustainability, p. 3-26, https://doi.org/10.5772/54337.","productDescription":"24 p.","startPage":"3","endPage":"26","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":473901,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5772/54337","text":"Publisher Index Page"},{"id":269957,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2013-02-27","publicationStatus":"PW","scienceBaseUri":"51501261e4b08df5cb1312d9","contributors":{"authors":[{"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":476469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476470,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044922,"text":"70044922 - 2013 - Modeling the long-term fate of agricultural nitrate in groundwater in the San Joaquin Valley, California","interactions":[],"lastModifiedDate":"2022-12-27T16:43:54.0106","indexId":"70044922","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Modeling the long-term fate of agricultural nitrate in groundwater in the San Joaquin Valley, California","docAbstract":"Nitrate contamination of groundwater systems used for human water supplies is a major environmental problem in many parts of the world. Fertilizers containing a variety of reduced nitrogen compounds are commonly added to soils to increase agricultural yields. But the amount of nitrogen added during fertilization typically exceeds the amount of nitrogen taken up by crops. Oxidation of reduced nitrogen compounds present in residual fertilizers can produce substantial amounts of nitrate which can be transported to the underlying water table. Because nitrate concentrations exceeding 10 mg/L in drinking water can have a variety of deleterious effects for humans, agriculturally derived nitrate contamination of groundwater can be a serious public health issue.\n\nThe Central Valley aquifer of California accounts for 13 percent of all the groundwater withdrawals in the United States. The Central Valley, which includes the San Joaquin Valley, is one of the most productive agricultural areas in the world and much of this groundwater is used for crop irrigation. However, rapid urbanization has led to increasing groundwater withdrawals for municipal public water supplies. That, in turn, has led to concern about how contaminants associated with agricultural practices will affect the chemical quality of groundwater in the San Joaquin Valley. Crop fertilization with various forms of nitrogen-containing compounds can greatly increase agricultural yields. However, leaching of nitrate from soils due to irrigation has led to substantial nitrate contamination of shallow groundwater. That shallow nitrate-contaminated groundwater has been moving deeper into the Central Valley aquifer since the 1960s. Denitrification can be an important process limiting the mobility of nitrate in groundwater systems. However, substantial denitrification requires adequate sources of electron donors in order to drive the process. In many cases, dissolved organic carbon (DOC) and particulate organic carbon (POC) are the primary electron donors driving active denitrification in groundwater. The purpose of this chapter is to use a numerical mass balance modeling approach to quantitatively compare sources of electron donors (DOC, POC) and electron acceptors (dissolved oxygen, nitrate, and ferric iron) in order to assess the potential for denitrification to attenuate nitrate migration in the Central Valley aquifer.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Current perspectives in contaminant hydrology and water resources sustainability","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"InTech","publisherLocation":"Rijeka, Croatia","doi":"10.5772/53652","usgsCitation":"Chapelle, F.H., Campbell, B.G., Widdowson, M.A., and Landon, M.K., 2013, Modeling the long-term fate of agricultural nitrate in groundwater in the San Joaquin Valley, California, chap. 6 <i>of</i> Current perspectives in contaminant hydrology and water resources sustainability, p. 151-167, https://doi.org/10.5772/53652.","productDescription":"17 p.","startPage":"151","endPage":"167","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":473905,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5772/53652","text":"Publisher Index Page"},{"id":269963,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.39180782283782,\n              37.831343892420776\n            ],\n            [\n              -121.39180782283782,\n              37.37396546986268\n            ],\n            [\n              -120.64955102989776,\n              37.37396546986268\n            ],\n            [\n              -120.64955102989776,\n              37.831343892420776\n            ],\n            [\n              -121.39180782283782,\n              37.831343892420776\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2013-02-27","publicationStatus":"PW","scienceBaseUri":"51501262e4b08df5cb1312dd","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":476475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Bruce G. 0000-0003-4800-6674 bcampbel@usgs.gov","orcid":"https://orcid.org/0000-0003-4800-6674","contributorId":995,"corporation":false,"usgs":true,"family":"Campbell","given":"Bruce","email":"bcampbel@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Widdowson, Mark A.","contributorId":90379,"corporation":false,"usgs":true,"family":"Widdowson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landon, Mathew K. 0000-0002-5766-0494","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":49254,"corporation":false,"usgs":true,"family":"Landon","given":"Mathew","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":476476,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042994,"text":"70042994 - 2013 - Arsenic in groundwater: a summary of sources and the biogeochemical and hydrogeologic factors affecting arsenic occurrence and mobility","interactions":[],"lastModifiedDate":"2013-03-24T20:06:08","indexId":"70042994","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Arsenic in groundwater: a summary of sources and the biogeochemical and hydrogeologic factors affecting arsenic occurrence and mobility","docAbstract":"Arsenic (As) is a metalloid element (atomic number 33) with one naturally occurring isotope of atomic mass 75, and four oxidation states (-3, 0, +3, and +5) (Smedley and Kinniburgh, 2002). In the aqueous environment, the +3 and +5 oxidation states are most prevalent, as the oxyanions arsenite (H<sub>3</sub>AsO<sub>3</sub> or H<sub>2</sub>AsO<sub>3</sub><sup>-</sup> at pH ~9-11) and arsenate (H<sub>2</sub>AsO<sub>4</sub><sup>-</sup> and HAsO<sub>4</sub><sup>2-</sup> at pH ~4-10) (Smedley and Kinniburgh, 2002). In soils, arsine gases (containing As<sup>3-</sup>) may be generated by fungi and other organisms (Woolson, 1977).\n\nThe different forms of As have different toxicities, with arsine gas being the most toxic form. Of the inorganic oxyanions, arsenite is considered more toxic than arsenate, and the organic (methylated) arsenic forms are considered least toxic (for a detailed discussion of toxicity issues, the reader is referred to Mandal and Suzuki (2002)). Arsenic is a global health concern due to its toxicity and the fact that it occurs at unhealthful levels in water supplies, particularly groundwater, in more than 70 countries (Ravenscroft et al., 2009) on six continents.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Current perspectives in contaminant hydrology and water resources sustainability","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"InTech","publisherLocation":"Rijeka, Croatia","doi":"10.5772/55354","collaboration":"This is Chapter 4 in Current perspectives in contaminant hydrology and water resources sustainability","usgsCitation":"Barringer, J., and Reilly, P.A., 2013, Arsenic in groundwater: a summary of sources and the biogeochemical and hydrogeologic factors affecting arsenic occurrence and mobility, chap. <i>of</i> Current perspectives in contaminant hydrology and water resources sustainability, p. 83-116, https://doi.org/10.5772/55354.","productDescription":"34 p.","startPage":"83","endPage":"116","ipdsId":"IP-041793","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":473907,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5772/55354","text":"Publisher Index Page"},{"id":269959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269958,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5772/55354"}],"noUsgsAuthors":false,"publicationDate":"2013-02-27","publicationStatus":"PW","scienceBaseUri":"5150124fe4b08df5cb1312b9","contributors":{"editors":[{"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":509186,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Barringer, Julia L.","contributorId":59419,"corporation":false,"usgs":true,"family":"Barringer","given":"Julia L.","affiliations":[],"preferred":false,"id":472767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472766,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044915,"text":"sir20135012 - 2013 - Paleomagnetic correlation and ages of basalt flow groups in coreholes at and near the Naval Reactors Facility, Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2013-03-23T15:52:02","indexId":"sir20135012","displayToPublicDate":"2013-03-23T00:00:00","publicationYear":"2013","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":"2013-5012","title":"Paleomagnetic correlation and ages of basalt flow groups in coreholes at and near the Naval Reactors Facility, Idaho National Laboratory, Idaho","docAbstract":"Paleomagnetic inclination and polarity studies were conducted on subcore samples from eight coreholes located at and near the Naval Reactors Facility (NRF), Idaho National Laboratory (INL). These studies were used to characterize and to correlate successive stratigraphic basalt flow groups in each corehole to basalt flow groups with similar paleomagnetic inclinations in adjacent coreholes. Results were used to extend the subsurface geologic framework at the INL previously derived from paleomagnetic data for south INL coreholes. Geologic framework studies are used in conceptual and numerical models of groundwater flow and contaminant transport. Sample handling and demagnetization protocols are described, as well as the paleomagnetic data averaging process.\n\nPaleomagnetic inclination comparisons among NRF coreholes show comparable stratigraphic successions of mean inclination values over tens to hundreds of meters of depth. Corehole USGS 133 is more than 5 kilometers from the nearest NRF area corehole, and the mean inclination values of basalt flow groups in that corehole are somewhat less consistent than with NRF area basalt flow groups. Some basalt flow groups in USGS 133 are missing, additional basalt flow groups are present, or the basalt flow groups are at depths different from those of NRF area coreholes.\n\nAge experiments on young, low potassium olivine tholeiite basalts may yield inconclusive results; paleomagnetic and stratigraphic data were used to choose the most reasonable ages. Results of age experiments using conventional potassium argon and argon-40/argon-39 protocols indicate that the youngest and uppermost basalt flow group in the NRF area is 303 ± 30 ka and that the oldest and deepest basalt flow group analyzed is 884 ± 53 ka.\n\nA south to north line of cross-section drawn through the NRF coreholes shows corehole-to-corehole basalt flow group correlations derived from the paleomagnetic inclination data. From stratigraphic top to bottom, key results include the following:\n\n* The West of Advanced Test Reactor Complex (ATRC) flow group is the uppermost basalt flow group in the NRF area and correlates among seven continuously cored holes in this study under surficial sediments. The West of ATRC flow group is also found in coreholes near the ATRC, the Idaho Nuclear Technology and Engineering Center (INTEC), and in corehole USGS 129.\n* The ATRC Unknown Vent flow group correlates among seven continuously cored holes in this study underlying the West of ATRC flow group and a sedimentary interbed. Additional paleomagnetic inclination and stratigraphic data derived from the NRF coreholes changed the previously reported interpretation of the subsurface distribution of this basalt flow group. The ATRC Unknown Vent flow group also is found in coreholes near the ATRC and INTEC.\n* The Central Facilities Area (CFA) Buried Vent flow group correlates among all eight coreholes in the NRF area. It also is found in coreholes near the CFA and the Radioactive Waste Management Complex (RWMC) to the south. This basalt flow group is thickest near the CFA, which may indicate proximity to the vent. The State Butte flow group is found below the CFA Buried Vent flow group in the four northern NRF coreholes. It correlates to the State Butte surface vent located just northeast of the NRF. It is not found in coreholes south of the NRF.\n* The Atomic Energy Commission (AEC) Butte flow group is found in coreholes USGS 133, NRF 6P, and NRF 7P. It probably underlies coreholes NRF B18-1, NRF 89-05, and NRF 89-04, but those coreholes were not drilled deeply enough to penetrate the flow group. The AEC Butte flow group vent is exposed at the surface near the ATRC, and its flows are found in many coreholes near the ATRC and INTEC. The AEC Butte flow group abruptly pinches out against the Matuyama Chron reversed polarity flows of the East Matuyama Middle flow group between coreholes NRF 7P and NRF 15.\n* The East Matuyama Middle flow group correlates between coreholes NRF 15 and NRF 16 and may correlate to coreholes NPR Test/W-02 and ANL-OBS-A-001.\n* The North Late Matuyama flow group correlates among coreholes USGS 133, NRF 6P, NRF 7P, NRF 15, and NRF 16. It probably underlies coreholes NRF B18-1, NRF 89-05, and NRF 89-04, but those coreholes were not drilled deeply enough to penetrate the flow group. The vent that produced the North Late Matuyama flow group may be located in the general NRF area because it is thickest near corehole NRF 6P.\n* The Matuyama flow group is found in coreholes in the southern INL from south of the RWMC to corehole USGS 133 and may extend north to corehole NRF 15. The Matuyama flow group is thickest near the RWMC and thins to the north.\n* The Jaramillo (Matuyama) flow group is found in corehole NRF 15, which is the deepest NRF corehole, and shows that the basalt flow group is thick in the subsurface at NRF. This flow group is thickest between the RWMC and INTEC and thins towards the ATRC and NRF.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135012","collaboration":"DOE/ID-22223 Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Champion, D.E., Davis, L.C., Hodges, M., and Lanphere, M.A., 2013, Paleomagnetic correlation and ages of basalt flow groups in coreholes at and near the Naval Reactors Facility, Idaho National Laboratory, Idaho: U.S. Geological Survey Scientific Investigations Report 2013-5012, vi, 48 p.; Plate: 1 Sheet: 17  x 11 inches, https://doi.org/10.3133/sir20135012.","productDescription":"vi, 48 p.; Plate: 1 Sheet: 17  x 11 inches","numberOfPages":"58","additionalOnlineFiles":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":269874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135012.jpg"},{"id":269871,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5012/"},{"id":269873,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5012/pdf/sir20135012_plate1.pdf"},{"id":269872,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5012/pdf/sir20135012.pdf"}],"country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.5,-43.0 ], [ -113.5,44.5 ], [ -112.0,44.5 ], [ -112.0,-43.0 ], [ -113.5,-43.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514ec0d8e4b0978cb8834030","contributors":{"authors":[{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":476460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Linda C. lcdavis@usgs.gov","contributorId":2539,"corporation":false,"usgs":true,"family":"Davis","given":"Linda","email":"lcdavis@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hodges, Mary K.V.","contributorId":66848,"corporation":false,"usgs":true,"family":"Hodges","given":"Mary K.V.","affiliations":[],"preferred":false,"id":476461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lanphere, Marvin A. alder@usgs.gov","contributorId":2696,"corporation":false,"usgs":true,"family":"Lanphere","given":"Marvin","email":"alder@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":476459,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205975,"text":"70205975 - 2013 - Variable contributions of mercury from groundwater to a first-order urban coastal plain stream in New Jersey, USA","interactions":[],"lastModifiedDate":"2019-10-14T10:42:20","indexId":"70205975","displayToPublicDate":"2013-03-21T10:36:48","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Variable contributions of mercury from groundwater to a first-order urban coastal plain stream in New Jersey, USA","docAbstract":"<p><span>Filtered total mercury (FTHg) concentrations in a rapidly urbanizing area ranged from 50 to 250&nbsp;ng/L in surface waters of the Squankum Branch, a tributary to a major river (Great Egg Harbor River (GEHR)) traversing both urban and forested/wetland areas in the Coastal Plain of New Jersey. An unsewered residential area with Hg-contaminated well water (one of many in the region) is adjacent to the stream’s left bank. Although the region’s groundwater contains total Hg (THg) at background levels of &lt;10&nbsp;ng/L, water from about 700 domestic wells in urbanized areas completed in the acidic, quartzose unconfined aquifer typically at depths 20 to 30&nbsp;m below land surface has been found to exceed 2,000&nbsp;ng/L (the USEPA maximum contaminant level). Within urbanized areas, THg concentrations in shallow groundwater (&lt;20&nbsp;m below land surface at or near the water table) and the potential for Hg transport were not well known, representing a considerable knowledge gap. Sampling of streamwater in, and groundwater discharge to, the Squankum Branch watershed revealed that concentrations of THg generally were in the range of 1 to 10&nbsp;ng/L, but narrow plumes (“plumelets”) of shallow groundwater discharging to the stream from the opposing banks contained FTHg at a concentration &gt; 5,000&nbsp;ng/L (left bank) and nearly 2,000&nbsp;ng/L (right bank). The Hg content of bankside soils and sediments was high (up to 12&nbsp;mg/kg) and mostly acid leachable where groundwater with high Hg concentrations discharged, indicating contributions of Hg by both runoff and shallow groundwater. Elevated concentrations of nutrients and chloride in some groundwater plumelets likely indicated inputs from septic-system effluent and (or) fertilizer applications. The Hg probably derives mainly from mercurial pesticide applications to the former agricultural land being urbanized. The study results show that soil disturbance and introduction of anthropogenic substances can mobilize Hg from soils to shallow groundwater and the Hg contamination travels in narrow plumelets to discharge points such as stream tributaries. In the entire GEHR watershed, THg concentrations in groundwater discharging to streams in urban areas tended to be higher than concentrations in water discharging to streams of forested areas, consistent with the results from this small watershed. Other areas with similar quartzose coastal aquifers, land-use history, and hydrogeology may be similarly vulnerable to Hg contamination of shallow groundwater and associated surface water.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11270-013-1475-7","usgsCitation":"Barringer, J., Szabo, Z., Reilly, P.A., and Riskin, M.L., 2013, Variable contributions of mercury from groundwater to a first-order urban coastal plain stream in New Jersey, USA: Water, Air, & Soil Pollution, v. 224, no. 4, 1475, 25 p., https://doi.org/10.1007/s11270-013-1475-7.","productDescription":"1475, 25 p.","ipdsId":"IP-024353","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":368299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"New Jersey Coastal Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.99017333984375,\n              40.26276066437183\n            ],\n            [\n              -74.608154296875,\n              40.26276066437183\n            ],\n            [\n              -75.49530029296875,\n              39.50615988027491\n            ],\n            [\n              -75.50354003906249,\n              39.459523110465156\n            ],\n            [\n              -75.11627197265625,\n              39.196076813671695\n            ],\n            [\n              -74.674072265625,\n              39.191819549771694\n            ],\n            [\n              -74.3170166015625,\n              39.436192999314095\n            ],\n            [\n              -74.07806396484375,\n              39.79376521264885\n            ],\n            [\n              -73.99017333984375,\n              40.26276066437183\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"224","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Barringer, Julia jbarring@usgs.gov","contributorId":169542,"corporation":false,"usgs":true,"family":"Barringer","given":"Julia","email":"jbarring@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":138827,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riskin, Melissa L. 0000-0001-6499-3775 mriskin@usgs.gov","orcid":"https://orcid.org/0000-0001-6499-3775","contributorId":654,"corporation":false,"usgs":true,"family":"Riskin","given":"Melissa","email":"mriskin@usgs.gov","middleInitial":"L.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773139,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040826,"text":"70040826 - 2013 - Balancing practicality and hydrologic realism: a parsimonious approach for simulating rapid groundwater recharge via unsaturated-zone preferential flow","interactions":[],"lastModifiedDate":"2013-04-20T20:16:02","indexId":"70040826","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","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":"Balancing practicality and hydrologic realism: a parsimonious approach for simulating rapid groundwater recharge via unsaturated-zone preferential flow","docAbstract":"The impact of preferential flow on recharge and contaminant transport poses a considerable challenge to water-resources management. Typical hydrologic models require extensive site characterization, but can underestimate fluxes when preferential flow is significant. A recently developed source-responsive model incorporates film-flow theory with conservation of mass to estimate unsaturated-zone preferential fluxes with readily available data. The term source-responsive describes the sensitivity of preferential flow in response to water availability at the source of input. We present the first rigorous tests of a parsimonious formulation for simulating water table fluctuations using two case studies, both in arid regions with thick unsaturated zones of fractured volcanic rock. Diffuse flow theory cannot adequately capture the observed water table responses at both sites; the source-responsive model is a viable alternative. We treat the active area fraction of preferential flow paths as a scaled function of water inputs at the land surface then calibrate the macropore density to fit observed water table rises. Unlike previous applications, we allow the characteristic film-flow velocity to vary, reflecting the lag time between source and deep water table responses. Analysis of model performance and parameter sensitivity for the two case studies underscores the importance of identifying thresholds for initiation of film flow in unsaturated rocks, and suggests that this parsimonious approach is potentially of great practical value.","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":"10.1002/wrcr.20141","usgsCitation":"Mirus, B.B., and Nimmo, J., 2013, Balancing practicality and hydrologic realism: a parsimonious approach for simulating rapid groundwater recharge via unsaturated-zone preferential flow: Water Resources Research, v. 49, no. 3, p. 1458-1465, https://doi.org/10.1002/wrcr.20141.","productDescription":"8 p.","startPage":"1458","endPage":"1465","ipdsId":"IP-042286","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":473910,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20141","text":"Publisher Index Page"},{"id":269842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269841,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20141"}],"volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-12","publicationStatus":"PW","scienceBaseUri":"514c1ddae4b0cf4196fef2c5","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":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":469083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nimmo, J. R. 0000-0001-8191-1727","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":58304,"corporation":false,"usgs":true,"family":"Nimmo","given":"J. R.","affiliations":[],"preferred":false,"id":469084,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041274,"text":"70041274 - 2013 - Characterizing particle-scale equilibrium adsorption and kinetics of uranium(VI) desorption from U-contaminated sediments","interactions":[],"lastModifiedDate":"2013-04-04T14:19:57","indexId":"70041274","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","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":"Characterizing particle-scale equilibrium adsorption and kinetics of uranium(VI) desorption from U-contaminated sediments","docAbstract":"Rates of U(VI) release from individual dry-sieved size fractions of a field-aggregated, field-contaminated composite sediment from the seasonally saturated lower vadose zone of the Hanford 300-Area were examined in flow-through reactors to maintain quasi-constant chemical conditions. The principal source of variability in equilibrium U(VI) adsorption properties of the various size fractions was the impact of variable chemistry on adsorption. This source of variability was represented using surface complexation models (SCMs) with different stoichiometric coefficients with respect to hydrogen ion and carbonate concentrations for the different size fractions. A reactive transport model incorporating equilibrium expressions for cation exchange and calcite dissolution, along with rate expressions for aerobic respiration and silica dissolution, described the temporal evolution of solute concentrations observed during the flow-through reactor experiments. Kinetic U(VI) desorption was well described using a multirate SCM with an assumed lognormal distribution for the mass-transfer rate coefficients. The estimated mean and standard deviation of the rate coefficients were the same for all <2 mm size fractions but differed for the 2–8 mm size fraction. Micropore volumes, assessed using t-plots to analyze N2 desorption data, were also the same for all dry-sieved <2 mm size fractions, indicating a link between micropore volumes and mass-transfer rate properties. Pore volumes for dry-sieved size fractions exceeded values for the corresponding wet-sieved fractions. We hypothesize that repeated field wetting and drying cycles lead to the formation of aggregates and/or coatings containing (micro)pore networks which provided an additional mass-transfer resistance over that associated with individual particles. The 2–8 mm fraction exhibited a larger average and standard deviation in the distribution of mass-transfer rate coefficients, possibly caused by the abundance of microporous basaltic rock fragments.","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":"10.1002/wrcr.20104","usgsCitation":"Stoliker, D., Liu, C., Kent, D.B., and Zachara, J.M., 2013, Characterizing particle-scale equilibrium adsorption and kinetics of uranium(VI) desorption from U-contaminated sediments: Water Resources Research, v. 49, no. 2, p. 1163-1177, https://doi.org/10.1002/wrcr.20104.","productDescription":"15 p.","startPage":"1163","endPage":"1177","ipdsId":"IP-042410","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":473912,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20104","text":"Publisher Index Page"},{"id":269865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269864,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20104"}],"volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-12","publicationStatus":"PW","scienceBaseUri":"514c1ddde4b0cf4196fef2d1","contributors":{"authors":[{"text":"Stoliker, Deborah L. dlstoliker@usgs.gov","contributorId":2954,"corporation":false,"usgs":true,"family":"Stoliker","given":"Deborah L.","email":"dlstoliker@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":469486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Chongxuan","contributorId":66983,"corporation":false,"usgs":true,"family":"Liu","given":"Chongxuan","email":"","affiliations":[],"preferred":false,"id":469488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":469485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zachara, John M.","contributorId":7421,"corporation":false,"usgs":true,"family":"Zachara","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469487,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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