We have implemented the USGS National Climate Change Viewer (NCCV), which is an easy-to-use web application that displays future projections from global climate models over the United States at the state, county and watershed scales. We incorporate the NASA NEX-DCP30 statistically downscaled temperature and precipitation for 30 global climate models being used in the Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC), and hydrologic variables we simulated using a simple water-balance model. Our application summarizes very large, complex data sets at scales relevant to resource managers and citizens and makes climate-change projection information accessible to users of varying skill levels. Tens of terabytes of high-resolution climate and water-balance data are distilled to compact binary format summary files that are used in the application. To alleviate slow response times under high loads, we developed a map caching technique that reduces the time it takes to generate maps by several orders of magnitude. The reduced access time scales to >500 concurrent users. We provide code examples that demonstrate key aspects of data processing, data exporting/importing and the caching technique used in the NCCV.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2015.02.016","usgsCitation":"Alder, J.R., and Hostetler, S.W., 2015, Web based visualization of large climate data sets: Environmental Modelling and Software, v. 68, p. 175-180, https://doi.org/10.1016/j.envsoft.2015.02.016.","productDescription":"6 p.","startPage":"175","endPage":"180","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057365","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":311437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"564c4fbee4b0ebfbef0d345f","contributors":{"authors":[{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":579955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":579956,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159664,"text":"70159664 - 2015 - Storage in California’s reservoirs and snowpack in this time of drought","interactions":[],"lastModifiedDate":"2017-10-30T10:00:32","indexId":"70159664","displayToPublicDate":"2015-11-17T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Storage in California’s reservoirs and snowpack in this time of drought","docAbstract":"The San Francisco Bay and Sacramento–San Joaquin Delta (Delta) are the recipients of inflows from a watershed that spans much of California and that has ties to nearly the entire state. Historically, California has buffered its water supplies and flood risks both within—and beyond—the Delta’s catchment by developing many reservoirs, large and small, high and low. Most of these reservoirs carry water from wet winter seasons—when water demands are low and flood risks are high—to dry, warm seasons (and years) when demands are high and little precipitation falls. Many reservoirs are also used to catch and delay (or spread in time) flood flows that otherwise might cause damage to communities and floodplains. This essay describes the status of surface-water and snowpack storage conditions in California in spring 2015, providing context for better understanding where the state’s water stores stand as we enter summer 2015.
","language":"English","publisher":" University of California at Davis; Delta Stewardship Council","doi":"10.15447/sfews.2015v13iss2art1","usgsCitation":"Dettinger, M.D., and Anderson, M.L., 2015, Storage in California’s reservoirs and snowpack in this time of drought: San Francisco Estuary and Watershed Science, v. 13, no. 2, 5 p., https://doi.org/10.15447/sfews.2015v13iss2art1.","productDescription":"5 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065893","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":471643,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2015v13iss2art1","text":"Publisher Index Page"},{"id":311440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"13","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-26","publicationStatus":"PW","scienceBaseUri":"564c4fbee4b0ebfbef0d345d","contributors":{"authors":[{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":579973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Michael L.","contributorId":149932,"corporation":false,"usgs":false,"family":"Anderson","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":579974,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159236,"text":"ofr20151191 - 2015 - California State Waters map series — Offshore of Scott Creek, California","interactions":[],"lastModifiedDate":"2022-04-18T21:30:15.119324","indexId":"ofr20151191","displayToPublicDate":"2015-11-17T10:30:00","publicationYear":"2015","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":"2015-1191","title":"California State Waters map series — Offshore of Scott Creek, California","docAbstract":"In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow subsurface geology.
\nThe Offshore of Scott Creek map area is located in central California, on the Pacific Coast about 65 km south of San Francisco and 12 km northwest of Santa Cruz. The onshore part of the map area is sparsely populated; the only cultural center is Davenport, a small community with a population of less than 500. The hilly coastal area is virtually undeveloped, and a large percentage of coastal land is incorporated in open-space trusts. Agricultural land is almost entirely limited to coastal areas between the shoreline and the northwest-trending Santa Cruz Mountains, on Pleistocene alluvial fan deposits and the lowest emergent marine terrace. The Santa Cruz Mountains are part of the northwest-trending Coast Ranges that run roughly parallel to the San Andreas Fault Zone.
\nThe map area is cut by the San Gregorio Fault Zone, and it lies a few kilometers southwest of the San Andreas Fault Zone. Regional folding and uplift along the coast has been attributed to a westward bend in the San Andreas Fault Zone and also to right-lateral movement along the San Gregorio Fault Zone. The irregular coastal geomorphology of this area, which consists of low, rocky cliffs and sparse, small pocket beaches backed by low, terraced hills, is partly attributable to this ongoing deformation.
\nThe shelf in the map area is underlain by variable amounts (0 to 25 m) of upper Quaternary shelf, nearshore, and fluvial sediments deposited as sea level fluctuated in the late Pleistocene. The northernmost part of the map area is characterized by the presence of uplifted bedrock that has been linked to a local transpressional zone in the San Gregorio Fault Zone. This uplift, coupled with high wave energy, has resulted in little or no sediment cover in this area where exposures of bedrock are present at water depths of as much as 45 m. The thickest deposits of sediment lie offshore of both Davenport and the mouth of Waddell Creek.
\nCoastal sediment transport in the map area is characterized by north-to-south littoral transport of sediment that is derived mainly from streams in the Santa Cruz Mountains and also from local coastal erosion. Shoreline-change studies indicate long-term erosion; within the region between San Francisco and Davenport, the highest long- and short-term coastal-erosion rates occur north of the map area, just north of Point Año Nuevo. During the last approximately 300 years, as much as 18 million cubic yards (14 million cubic meters) of sand-sized sediment has been eroded from the area between Año Nuevo Island and Point Año Nuevo and transported south. Once widened by this pulse of eroded sediment, beaches in the map area are now narrowing as the tail end of this mass of sand progresses farther south.
\nThe Offshore of Scott Creek map area lies within the cold-temperate biogeographic zone that is called either the “Oregonian province” or the “northern California ecoregion.” This biogeographic province is maintained by the long-term stability of the southward-flowing California Current, the eastern limb of the North Pacific subtropical gyre that flows from southern British Columbia to Baja California. At its midpoint off central California, the California Current transports subarctic surface (0–500 m deep) waters southward, about 150 to 1,300 km from shore. Seasonal northwesterly winds that are, in part, responsible for the California Current, generate coastal upwelling. The south end of the Oregonian province is at Point Conception (about 320 km south of the map area), although its associated phylogeographic group of marine fauna may extend beyond to the area offshore of Los Angeles in southern California. The ocean off of central California has experienced a warming over the last 50 years that is driving an ecosystem shift away from the productive subarctic regime towards a depopulated subtropical environment.
\nSeafloor habitats in the Offshore of Scott Creek map area, which lie within the Shelf (continental shelf) megahabitat, range from significant rocky outcrops that support kelp-forest communities nearshore to rocky-reef communities in deeper water. Biological productivity resulting from coastal upwelling supports populations of Sooty Shearwater, Western Gull, Common Murre, Cassin’s Auklet, and many other less populous bird species. In addition, an observable recovery of Humpback and Blue Whales has occurred in the area; both species are dependent on coastal upwelling to provide nutrients. The large extent of exposed inner shelf bedrock supports large forests of “bull kelp,” which is well adapted for high-wave-energy environments. The kelp beds are the northernmost known habitat for the population of southern sea otters. Common fish species found in the kelp beds and rocky reefs include lingcod and various species of rockfish and greenling.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151191","usgsCitation":"Cochrane, G.R., Dartnell, P., Johnson, S.Y., Greene, H.G., Erdey, M.D., Dieter, B.E., Golden, N.E., Endris, C.A., Hartwell, S.R., Kvitek, R.G., Davenport, C.W., Watt, J.T., Krigsman, L.M., Ritchie, A.C., Sliter, R.W., Finlayson, D.P., and Maier, K.L. (G.R. Cochrane and S.A. Cochran, eds.), 2015, California State Waters Map Series — Offshore of Scott Creek, California: U.S. Geological Survey Open-File Report 2015–1191, pamphlet 40 p., 10 sheets, scale 1:24,000, https://dx.doi.org/10.3133/ofr20151191.","productDescription":"Pamphlet: iv, 40 p.; 10 Sheets: 51 x 36 inches or less; Dataset; Metadata","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-058155","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":438667,"rank":20,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CJ8BJW","text":"USGS data release","linkHelpText":"California State Waters Map Series Data Catalog--Offshore of Scott Creek, California"},{"id":310185,"rank":18,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F7CJ8BJW","text":"Data Catalog","linkFileType":{"id":5,"text":"html"},"description":"OFR 2015-1191 Data Catalog","linkHelpText":"The GIS data layers for this map are accessible from “Data Catalog—Offshore of Scott Creek, California,” which is part of California State Waters Map Series Data Catalog. Each GIS data file is listed with a brief description, a small image, and links to the metadata files and the downloadable data files."},{"id":310184,"rank":17,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2015/1191/ofr20151191_metadata.html","linkFileType":{"id":5,"text":"html"},"description":"OFR 2015-1191 Metadata"},{"id":310104,"rank":15,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1191/ofr20151191_sheet10.pdf","text":"Sheet 10","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1191 Sheet 10","linkHelpText":"Offshore and Onshore Geology and Geomorphology, Offshore of Scott Creek Map Area, California By Stephen R. Hartwell, Samuel Y. Johnson, and Clifton W. Davenport"},{"id":310103,"rank":14,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1191/ofr20151191_sheet9.pdf","text":"Sheet 9","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1191 Sheet 9","linkHelpText":"Local (Offshore of Scott Creek Map Area) and Regional (Offshore from Pigeon Point to Southern Monterey Bay) Shallow-Subsurface Geology and Structure, California By Samuel Y. Johnson, Stephen R. Hartwell, Janet T. Watt, Ray W. Sliter, and Katherine L. Maier"},{"id":310102,"rank":13,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1191/ofr20151191_sheet8.pdf","text":"Sheet 8","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1191 Sheet 8","linkHelpText":"Seismic-Reflection Profiles, Offshore of Scott Creek Map Area, California by Samuel Y. Johnson, Stephen R. Hartwell, and Ray W. Sliter"},{"id":310101,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1191/ofr20151191_sheet7.pdf","text":"Sheet 7","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1191 Sheet 7","linkHelpText":"Potential Marine Benthic Habitats, Offshore of Scott Creek Map Area, California By Charles A. Endris, H. Gary Greene, Bryan E. Dieter, and Mercedes D. Erdey"},{"id":310093,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2014/1214/","text":"Open-File Report 2014–1214","description":"Open-File Report 2014–1214","linkHelpText":"California State Waters Map Series—Offshore of Half Moon Bay, California, by Guy R. Cochrane and others"},{"id":399010,"rank":19,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_103676.htm"},{"id":310168,"rank":16,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1191/ofr20151191_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1191 Pamphlet"},{"id":310100,"rank":11,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1191/ofr20151191_sheet6.pdf","text":"Sheet 6","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1191 Sheet 6","linkHelpText":"Ground-Truth Studies, Offshore of Scott Creek Map Area, California By Nadine E. Golden, Guy R. Cochrane, and Lisa M. Krigsman"},{"id":310099,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1191/ofr20151191_sheet5.pdf","text":"Sheet 5","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1191 Sheet 5","linkHelpText":"Seafloor Character, Offshore of Scott Creek Map Area, California By Mercedes D. Erdey and Guy R. Cochrane"},{"id":310098,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1191/ofr20151191_sheet4.pdf","text":"Sheet 4","linkFileType":{"id":1,"text":"pdf"},"description":"OFR2015-1191 Sheet 4","linkHelpText":"Data Integration and Visualization, Offshore of Scott Creek Map Area, California By Peter Dartnell"},{"id":310097,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1191/ofr20151191_sheet3.pdf","text":"Sheet 3","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1191 Sheet 3","linkHelpText":"Acoustic Backscatter, Offshore of Scott Creek Map Area, California By Peter Dartnell, Andrew C. Ritchie, David P. Finlayson, and Rikk G. Kvitek"},{"id":310096,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1191/ofr20151191_sheet2.pdf","text":"Sheet 2","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1191 Sheet 2","linkHelpText":"Shaded-Relief Bathymetry, Offshore of Scott Creek Map Area, California By Peter Dartnell, Andrew C. Ritchie, David P. Finlayson, and Rikk G. Kvitek"},{"id":310095,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1191/ofr20151191_sheet1.pdf","text":"Sheet 1","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1191 Sheet 1","linkHelpText":"Colored Shaded-Relief Bathymetry, Offshore of Scott Creek Map Area, California By Peter Dartnell, Andrew C. Ritchie, David P. Finlayson, and Rikk G. Kvitek"},{"id":310094,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2014/1260/","text":"Open-File Report 2014–1260","description":"Open-File Report 2014–1260","linkHelpText":"California State Waters Map Series—Offshore of Pacifica, California, by Brian D. Edwards and others."},{"id":310092,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/sim/3306/","text":"Scientific Investigations Map 3306","description":"Scientific Investigations Map 3306","linkHelpText":"California State Waters Map Series—Offshore of San Gregorio, California, by Guy R. Cochrane and others."},{"id":310091,"rank":2,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/781/","text":"Data Series 781","description":"Data Series 781","linkHelpText":"California State Waters Map Series Data Catalog"},{"id":310090,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1191/coverthb.jpg"}],"scale":"24000","country":"United States","state":"California","otherGeospatial":"Scott Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.3867,\n 36.9428\n ],\n [\n -122.1881,\n 36.9428\n ],\n [\n -122.1881,\n 37.1022\n ],\n [\n -122.3867,\n 37.1022\n ],\n [\n -122.3867,\n 36.9428\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information
Pacific Coastal & Marine Science Center
U.S. Geological Survey
Pacific Science Center
2885 Mission St.
Santa Cruz, CA 95060
http://walrus.wr.usgs.gov/
Microfluidic quantitative polymerase chain reaction (MFQPCR) and conventional quantitative polymerase chain reaction methods were compared side by side in detecting and quantifying 19 genetic markers associated with Escherichia coli and select bacterial pathogens in algae, beach sand, and water from Lake Michigan. Enteropathogenic E. coli (EPEC), Shiga toxin-producing E. coli, Salmonella spp., Campylobacter jejuni, and Clostridium perfringens were among the pathogens tested. Of the pathogenic markers, eaeA that encodes intimin in EPEC was detected in all sample types: water (5%), detached/floating algae (42%), exposed/stranded algae (43%), sand below exposed algae (27%), and nearshore sand with no algae (22%). Other pathogenic markers, however, were detected sporadically. Despite comparable results from the two methods for the genetic markers tested in this study, the MFQPCR method may be superior, with the advantage of detecting and quantifying multiple pathogens simultaneously in environmental matrices.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.estlett.5b00251","usgsCitation":"Byappanahalli, M., Nevers, M., Whitman, R.L., and Ishii, S., 2015, Application of a microfluidic quantitative polymerase chain reaction technique to monitor bacterial pathogens in beach water and complex environmental matrices: Environmental Science and Technology Letters, v. 2, no. 12, p. 347-351, https://doi.org/10.1021/acs.estlett.5b00251.","productDescription":"5 p.","startPage":"347","endPage":"351","ipdsId":"IP-068779","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":388838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","city":"East Chicago","otherGeospatial":"Jeorse Park Beach","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.43456363677977,\n 41.64793556376401\n ],\n [\n -87.42568016052245,\n 41.64793556376401\n ],\n [\n -87.42568016052245,\n 41.65280974019908\n ],\n [\n -87.43456363677977,\n 41.65280974019908\n ],\n [\n -87.43456363677977,\n 41.64793556376401\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"12","noUsgsAuthors":false,"publicationDate":"2015-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Byappanahalli, Muruleedhara 0000-0001-5376-597X","orcid":"https://orcid.org/0000-0001-5376-597X","contributorId":241924,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":822534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nevers, Meredith 0000-0001-6963-6734 mnevers@usgs.gov","orcid":"https://orcid.org/0000-0001-6963-6734","contributorId":2013,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"mnevers@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":822535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":822536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ishii, Satoshi","contributorId":8741,"corporation":false,"usgs":true,"family":"Ishii","given":"Satoshi","affiliations":[],"preferred":false,"id":822537,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193749,"text":"70193749 - 2015 - Time-lapse electrical geophysical monitoring of amendment-based biostimulation","interactions":[],"lastModifiedDate":"2022-10-31T16:40:37.361698","indexId":"70193749","displayToPublicDate":"2015-11-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Time-lapse electrical geophysical monitoring of amendment-based biostimulation","docAbstract":"Biostimulation is increasingly used to accelerate microbial remediation of recalcitrant groundwater contaminants. Effective application of biostimulation requires successful emplacement of amendment in the contaminant target zone. Verification of remediation performance requires postemplacement assessment and contaminant monitoring. Sampling-based approaches are expensive and provide low-density spatial and temporal information. Time-lapse electrical resistivity tomography (ERT) is an effective geophysical method for determining temporal changes in subsurface electrical conductivity. Because remedial amendments and biostimulation-related biogeochemical processes often change subsurface electrical conductivity, ERT can complement and enhance sampling-based approaches for assessing emplacement and monitoring biostimulation-based remediation.
Field studies demonstrating the ability of time-lapse ERT to monitor amendment emplacement and behavior were performed during a biostimulation remediation effort conducted at the Department of Defense Reutilization and Marketing Office (DRMO) Yard, in Brandywine, Maryland, United States. Geochemical fluid sampling was used to calibrate a petrophysical relation in order to predict groundwater indicators of amendment distribution. The petrophysical relations were field validated by comparing predictions to sequestered fluid sample results, thus demonstrating the potential of electrical geophysics for quantitative assessment of amendment-related geochemical properties. Crosshole radar zero-offset profile and borehole geophysical logging were also performed to augment the data set and validate interpretation.
In addition to delineating amendment transport in the first 10 months after emplacement, the time-lapse ERT results show later changes in bulk electrical properties interpreted as mineral precipitation. Results support the use of more cost-effective surface-based ERT in conjunction with limited field sampling to improve spatial and temporal monitoring of amendment emplacement and remediation performance.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.12291","usgsCitation":"Johnson, T.C., Versteeg, R.J., Day-Lewis, F.D., Major, W., and Lane, J.W., 2015, Time-lapse electrical geophysical monitoring of amendment-based biostimulation: Ground Water, v. 53, no. 6, p. 920-932, https://doi.org/10.1111/gwat.12291.","productDescription":"13 p.","startPage":"920","endPage":"932","ipdsId":"IP-059263","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":349017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","city":"Brandywine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.8456,\n 38.7\n ],\n [\n -76.8456,\n 38.6964\n ],\n [\n -76.8420,\n 38.6964\n ],\n [\n -76.8420,\n 38.7\n ],\n [\n -76.8456,\n 38.7\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"53","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-02","publicationStatus":"PW","scienceBaseUri":"5a60fe57e4b06e28e9c252e8","contributors":{"authors":[{"text":"Johnson, Timothy C.","contributorId":199842,"corporation":false,"usgs":false,"family":"Johnson","given":"Timothy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":720185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Versteeg, Roelof J.","contributorId":199843,"corporation":false,"usgs":false,"family":"Versteeg","given":"Roelof","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":720183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Major, William","contributorId":199844,"corporation":false,"usgs":false,"family":"Major","given":"William","email":"","affiliations":[],"preferred":false,"id":720187,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":720184,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157269,"text":"ofr20151182 - 2015 - The relationship between the ratio of strontium to calcium and sea-surface temperature in a modern Porites astreoides coral: Implications for using P. astreoides as a paleoclimate archive","interactions":[],"lastModifiedDate":"2015-11-13T13:27:24","indexId":"ofr20151182","displayToPublicDate":"2015-11-13T14:00:00","publicationYear":"2015","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":"2015-1182","title":"The relationship between the ratio of strontium to calcium and sea-surface temperature in a modern Porites astreoides coral: Implications for using P. astreoides as a paleoclimate archive","docAbstract":"An inverse relationship has been demonstrated between water temperature and the ratio of strontium to calcium (Sr/Ca) in coral aragonite for a number of Pacific species of the genus Porites. This empirically determined relationship has been used to reconstruct past sea-surface temperature (SST) from modern and Holocene age coral archives. A study was conducted to investigate this relationship for Porites astreoides to determine the potential for using these corals as a paleotemperature archive in the Caribbean and western tropical Atlantic Ocean. Skeletal aragonite from a P. astreoides colony growing offshore of the southeast coast of Florida was subsampled with a mean temporal resolution of 14 samples per year and analyzed for Sr/Ca. The resulting Sr/Ca time series yielded well-defined annual cycles that correspond to annual growth bands in the coral. Sr/Ca was regressed against a monthly SST record from C-MAN buoy station FWYF1 (located at Fowey Rocks, Florida), resulting in the following Sr/Ca-SST relationship: Sr/Ca = –0.040*SST + 10.128 (R = –0.77). A 10-year time series of Sr/Ca-derived SST yields annual cycles with a 10–12 degree Celsius seasonal amplitude, consistent with available local instrumental records. We conclude that Sr/Ca in Porites astreoides from the Caribbean/Atlantic region has high potential for developing subannually resolved modern and recent Holocene SST records.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151182","usgsCitation":"Busch, T.E., Flannery, J.A., Richey, J.N., and Stathakopoulos, Anastasios, 2015, The relationship between the ratio of strontium to calcium and sea-surface temperature in a modern Porites astreoides coral—Implications for using P. astreoides as a paleoclimate archive: U.S. Geological Survey Open-File Report 2015–1182, 10 p., https://dx.doi.org/10.3133/ofr20151182.","productDescription":"iv, 10 p.","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065459","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":311286,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1182/ofr20151182.pdf","text":"Report","size":"2.58 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1182"},{"id":311285,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1182/coverthb.jpg"}],"country":"United States","state":"Florida","city":"Miami","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.99621582031249,\n 24.956180020055925\n ],\n [\n -82.99621582031249,\n 27.756468889550746\n ],\n [\n -79.38720703125,\n 27.756468889550746\n ],\n [\n -79.38720703125,\n 24.956180020055925\n ],\n [\n -82.99621582031249,\n 24.956180020055925\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
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Predation on juvenile native fish by introduced Rainbow Trout and Brown Trout is considered a significant threat to the persistence of endangered Humpback Chub Gila cypha in the Colorado River in the Grand Canyon. Diet studies of Rainbow Trout and Brown Trout in Glen and Grand canyons indicate that these species do eat native fish, but impacts are difficult to assess because predation vulnerability is highly variable, depending on prey size, predator size, and the water temperatures under which the predation interactions take place. We conducted laboratory experiments to evaluate how short-term predation vulnerability of juvenile native fish changes in response to fish size and water temperature using captivity-reared Humpback Chub, Bonytail, and Roundtail Chub. Juvenile chub 45–90 mm total length (TL) were exposed to adult Rainbow and Brown trouts at 10, 15, and 20°C to measure predation vulnerability as a function of water temperature and fish size. A 1°C increase in water temperature decreased short-term predation vulnerability of Humpback Chub to Rainbow Trout by about 5%, although the relationship is not linear. Brown Trout were highly piscivorous in the laboratory at any size > 220 mm TL and at all water temperatures we tested. Understanding the effects of predation by trout on endangered Humpback Chub is critical in evaluating management options aimed at preserving native fishes in Grand Canyon National Park.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2015.1077160","usgsCitation":"Ward, D.L., and Morton-Starner, R., 2015, Effects of water temperature and fish size on predation vulnerability of juvenile humpback chub to rainbow trout and brown trout: Transactions of the American Fisheries Society, v. 144, p. 1184-1191, https://doi.org/10.1080/00028487.2015.1077160.","productDescription":"8 p.","startPage":"1184","endPage":"1191","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062089","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":311200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"144","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-22","publicationStatus":"PW","scienceBaseUri":"5645b886e4b0e2669b30f1cc","contributors":{"authors":[{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":579591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morton-Starner, Rylan rmorton-starner@usgs.gov","contributorId":5256,"corporation":false,"usgs":true,"family":"Morton-Starner","given":"Rylan","email":"rmorton-starner@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":579592,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159807,"text":"70159807 - 2015 - Use of stable isotope signatures to determine mercury sources in the Great Lakes","interactions":[],"lastModifiedDate":"2018-09-04T15:52:12","indexId":"70159807","displayToPublicDate":"2015-11-12T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5022,"text":"Environmental Science & Technology Letters","onlineIssn":"2328-8930","active":true,"publicationSubtype":{"id":10}},"title":"Use of stable isotope signatures to determine mercury sources in the Great Lakes","docAbstract":"Sources of mercury (Hg) in Great Lakes sediments were assessed with stable Hg isotope ratios using multicollector inductively coupled plasma mass spectrometry. An isotopic mixing model based on mass-dependent (MDF) and mass-independent fractionation (MIF) (δ202Hg and Δ199Hg) identified three primary Hg sources for sediments: atmospheric, industrial, and watershed-derived. Results indicate atmospheric sources dominate in Lakes Huron, Superior, and Michigan sediments while watershed-derived and industrial sources dominate in Lakes Erie and Ontario sediments. Anomalous Δ200Hg signatures, also apparent in sediments, provided independent validation of the model. Comparison of Δ200Hg signatures in predatory fish from three lakes reveals that bioaccumulated Hg is more isotopically similar to atmospherically derived Hg than a lake’s sediment. Previous research suggests Δ200Hg is conserved during biogeochemical processing and odd mass-independent fractionation (MIF) is conserved during metabolic processing, so it is suspected even is similarly conserved. Given these assumptions, our data suggest that in some cases, atmospherically derived Hg may be a more important source of MeHg to higher trophic levels than legacy sediments in the Great Lakes.
","language":"English","publisher":"American Chemical Society","publisherLocation":"Washington, DC","doi":"10.1021/acs.estlett.5b00277","usgsCitation":"Lepak, R.F., Yin, R., Krabbenhoft, D.P., Ogorek, J.M., DeWild, J.F., Holsen, T.M., and Hurley, J., 2015, Use of stable isotope signatures to determine mercury sources in the Great Lakes: Environmental Science & Technology Letters, v. 2, no. 12, https://doi.org/10.1021/acs.estlett.5b00277.","productDescription":"7 p.","endPage":"335","numberOfPages":"341","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070652","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":471650,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.estlett.5b00277","text":"Publisher Index 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Discrete water samples were collected from VINP bays to determine UV filter chemical presence in the coastal waters. Spatial distribution and the potential for partitioning between subsurface waters and the sea surface microlayer (SML) were also examined. The UV filter chemicals 4-methylbenzylidene camphor, benzophenone-3, octinoxate, homosalate, and octocrylene were detected at concentrations up to 6073 ng/L (benzophenone-3). Concentrations for benzophenone-3 and homosalate declined exponentially (r2 = 0.86 to 0.98) with distance from the beach. Limited data indicate that some UV filter chemicals may partition to the SML relative to the subsurface waters. Contamination of VINP coastal waters by UV filter chemicals may be a significant issue, but an improved understanding of the temporal and spatial variability of their concentrations would be necessary to better understand the risk they present.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2015.10.077","usgsCitation":"Bargar, T.A., Alvarez, D., and Garrison, V.H., 2015, Synthetic ultraviolet light filtering chemical contamination of coastal waters of Virgin Islands National Park, St. John, U.S. Virgin Islands: Marine Pollution Bulletin, v. 101, no. 1, p. 193-199, https://doi.org/10.1016/j.marpolbul.2015.10.077.","productDescription":"7 p.","startPage":"193","endPage":"199","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066877","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":312187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"St.John Island, Virgin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n 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Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":581886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarez, David 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":150499,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":581887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garrison, Virginia H. ginger_garrison@usgs.gov","contributorId":2386,"corporation":false,"usgs":true,"family":"Garrison","given":"Virginia","email":"ginger_garrison@usgs.gov","middleInitial":"H.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":581888,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159670,"text":"70159670 - 2015 - Reactive transport modeling of geochemical controls on secondary water quality impacts at a crude oil spill site near Bemidji, MN","interactions":[],"lastModifiedDate":"2021-09-01T15:52:59.116597","indexId":"70159670","displayToPublicDate":"2015-11-11T12:00:00","publicationYear":"2015","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":"Reactive transport modeling of geochemical controls on secondary water quality impacts at a crude oil spill site near Bemidji, MN","docAbstract":"Anaerobic biodegradation of organic amendments and contaminants in aquifers can trigger secondary water quality impacts that impair groundwater resources. Reactive transport models help elucidate how diverse geochemical reactions control the spatiotemporal evolution of these impacts. Using extensive monitoring data from a crude oil spill site near Bemidji, Minnesota (USA), we implemented a comprehensive model that simulates secondary plumes of depleted dissolved O2 and elevated concentrations of Mn2+, Fe2+, CH4, and Ca2+ over a two-dimensional cross section for 30 years following the spill. The model produces observed changes by representing multiple oil constituents and coupled carbonate and hydroxide chemistry. The model includes reactions with carbonates and Fe and Mn mineral phases, outgassing of CH4 and CO2 gas phases, and sorption of Fe, Mn, and H+. Model results demonstrate that most of the carbon loss from the oil (70%) occurs through direct outgassing from the oil source zone, greatly limiting the amount of CH4 cycled down-gradient. The vast majority of reduced Fe is strongly attenuated on sediments, with most (91%) in the sorbed form in the model. Ferrous carbonates constitute a small fraction of the reduced Fe in simulations, but may be important for furthering the reduction of ferric oxides. The combined effect of concomitant redox reactions, sorption, and dissolved CO2 inputs from source-zone degradation successfully reproduced observed pH. The model demonstrates that secondary water quality impacts may depend strongly on organic carbon properties, and impacts may decrease due to sorption and direct outgassing from the source zone.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015WR016964","usgsCitation":"Ng, G.C., Bekins, B.A., Cozzarelli, I.M., Baedecker, M.J., Bennett, P.C., Amos, R.T., and Herkelrath, W.N., 2015, Reactive transport modeling of geochemical controls on secondary water quality impacts at a crude oil spill site near Bemidji, MN: Water Resources Research, v. 51, no. 6, p. 4156-4183, https://doi.org/10.1002/2015WR016964.","productDescription":"28 p.","startPage":"4156","endPage":"4183","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064817","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":471651,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr016964","text":"Publisher Index Page"},{"id":311418,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","county":"Bemidji","otherGeospatial":"Bemindji Oil Spill site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.13130187988281,\n 47.5363264438391\n ],\n [\n -95.0456428527832,\n 47.5363264438391\n ],\n [\n -95.0456428527832,\n 47.57316730158045\n ],\n [\n -95.13130187988281,\n 47.57316730158045\n ],\n [\n -95.13130187988281,\n 47.5363264438391\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-11","publicationStatus":"PW","scienceBaseUri":"564c5de4e4b0ebfbef0d348b","contributors":{"authors":[{"text":"Ng, Gene-Hua Crystal gng@usgs.gov","contributorId":5313,"corporation":false,"usgs":true,"family":"Ng","given":"Gene-Hua","email":"gng@usgs.gov","middleInitial":"Crystal","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":579996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":579997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":579998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baedecker, Mary Jo mjbaedec@usgs.gov","contributorId":3346,"corporation":false,"usgs":true,"family":"Baedecker","given":"Mary","email":"mjbaedec@usgs.gov","middleInitial":"Jo","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":579999,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bennett, Philip C.","contributorId":30567,"corporation":false,"usgs":true,"family":"Bennett","given":"Philip","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":580000,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Amos, Richard T.","contributorId":69081,"corporation":false,"usgs":true,"family":"Amos","given":"Richard","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":580001,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herkelrath, William N. 0000-0002-6149-5524 wnherkel@usgs.gov","orcid":"https://orcid.org/0000-0002-6149-5524","contributorId":2612,"corporation":false,"usgs":true,"family":"Herkelrath","given":"William","email":"wnherkel@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":580002,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70159499,"text":"70159499 - 2015 - Flushing of distal hillslopes as an alternative source of stream dissolved organic carbon in a headwater catchment","interactions":[],"lastModifiedDate":"2015-11-23T13:16:59","indexId":"70159499","displayToPublicDate":"2015-11-10T17:00:00","publicationYear":"2015","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":"Flushing of distal hillslopes as an alternative source of stream dissolved organic carbon in a headwater catchment","docAbstract":"We investigated potential source areas of dissolved organic carbon (DOC) in headwater streams by examining DOC concentrations in lysimeter, shallow well, and stream water samples from a reference catchment at the Hubbard Brook Experimental Forest. These observations were then compared to high-frequency temporal variations in fluorescent dissolved organic matter (FDOM) at the catchment outlet and the predicted spatial extent of shallow groundwater in soils throughout the catchment. While near-stream soils are generally considered a DOC source in forested catchments, DOC concentrations in near-stream groundwater were low (mean = 2.4 mg/L, standard error = 0.6 mg/L), less than hillslope groundwater farther from the channel (mean = 5.7 mg/L, standard error = 0.4 mg/L). Furthermore, water tables in near-stream soils did not rise into the carbon-rich upper B or O horizons even during events. In contrast, soils below bedrock outcrops near channel heads where lateral soil formation processes dominate had much higher DOC concentrations. Soils immediately downslope of bedrock areas had thick eluvial horizons indicative of leaching of organic materials, Fe, and Al and had similarly high DOC concentrations in groundwater (mean = 14.5 mg/L, standard error = 0.8 mg/L). Flow from bedrock outcrops partially covered by organic soil horizons produced the highest groundwater DOC concentrations (mean = 20.0 mg/L, standard error = 4.6 mg/L) measured in the catchment. Correspondingly, stream water in channel heads sourced in part by shallow soils and bedrock outcrops had the highest stream DOC concentrations measured in the catchment. Variation in FDOM concentrations at the catchment outlet followed water table fluctuations in shallow to bedrock soils near channel heads. We show that shallow hillslope soils receiving runoff from organic matter-covered bedrock outcrops may be a major source of DOC in headwater catchments in forested mountainous regions where catchments have exposed or shallow bedrock near channel heads.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2015WR016927","usgsCitation":"Gannon, J.P., Bailey, S.W., McGuire, K.J., and Shanley, J.B., 2015, Flushing of distal hillslopes as an alternative source of stream dissolved organic carbon in a headwater catchment: Water Resources Research, v. 51, no. 10, p. 8114-8128, https://doi.org/10.1002/2015WR016927.","productDescription":"15 p.","startPage":"8114","endPage":"8128","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066820","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":471652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr016927","text":"Publisher Index Page"},{"id":311181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire","otherGeospatial":"Hubbard Brook Experimental Forest, White Mountain National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.88079833984375,\n 43.76315996157264\n ],\n [\n -71.88079833984375,\n 44.14082683077555\n ],\n [\n -71.11175537109375,\n 44.14082683077555\n ],\n [\n -71.11175537109375,\n 43.76315996157264\n ],\n [\n -71.88079833984375,\n 43.76315996157264\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","issue":"10","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-12","publicationStatus":"PW","scienceBaseUri":"56431532e4b0aafbcd017fa6","contributors":{"authors":[{"text":"Gannon, John P","contributorId":149717,"corporation":false,"usgs":false,"family":"Gannon","given":"John","email":"","middleInitial":"P","affiliations":[{"id":17789,"text":"Western Carolina University","active":true,"usgs":false}],"preferred":false,"id":579242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Scott W. 0000-0002-9160-156X","orcid":"https://orcid.org/0000-0002-9160-156X","contributorId":36840,"corporation":false,"usgs":true,"family":"Bailey","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":579244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Kevin J.","contributorId":69870,"corporation":false,"usgs":true,"family":"McGuire","given":"Kevin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":579243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":579241,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159594,"text":"70159594 - 2015 - Home range and habitat use of juvenile green turtles (Chelonia mydas) in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2016-07-17T23:15:31","indexId":"70159594","displayToPublicDate":"2015-11-10T16:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Home range and habitat use of juvenile green turtles (Chelonia mydas) in the northern Gulf of Mexico","docAbstract":"Background: For imperiled marine turtles, use of satellite telemetry has proven to be an effective method in determining long distance movements. However, the large size of the tag, relatively high cost and low spatial resolution of this method make it more difficult to examine fine-scale movements of individuals, particularly at foraging grounds where animals are frequently submerged. Acoustic telemetry offers a more suitable method of assessing fine-scale movement patterns with a smaller tag that provides more precise locations. We used acoustic telemetry to define home ranges and describe habitat use of juvenile green turtles at a temperate foraging ground in the northern Gulf of Mexico.
\nResults: We outfitted eight juvenile green turtles with acoustic transmitters and tracked them from 14 to 138 days from September 2012 to February 2013 in St. Joseph Bay, Northwest Florida. Mean home range size was relatively small compared to other studies. For four turtles, we observed a moderate inverse relationship between water temperature and water depth which is consistent with the idea that turtles moved to deeper waters when temperatures cooled. On average distance to the channel from turtle locations were different by bottom cover type. These turtles appear to forage in shallow-water seagrass beds that border deep channels. When water temperatures dropped in winter, some of the tracked turtles moved to a deep-water channel on the western side of the study site. Turtles whose foraging sites were farther from the deep-water channel exhibited greater displacement than those with sites that were closer to the channel.
\nConclusions: Green turtles in St. Joseph Bay have relatively small home ranges and many contain multiple activity centers. The frequent use of channels by turtles suggests bathymetry plays a major role in habitat selection of juvenile green turtles, particularly as temperatures drop in winter. The quality and density of seagrass habitat in St. Joseph Bay and its proximity to deep channels appears to provide ideal conditions for juvenile greens. The results of this study help define characteristics of foraging habitat utilized by juvenile greens in the northern Gulf of Mexico that managers can use in creating protected areas such as aquatic preserves.
","language":"English","publisher":"BioMed Central","doi":"10.1186/s40317-015-0089-9","usgsCitation":"Lamont, M.M., Fujisaki, I., Stephens, B.S., and Hackett, C., 2015, Home range and habitat use of juvenile green turtles (Chelonia mydas) in the northern Gulf of Mexico: Animal Biotelemetry, v. 3, no. 53, 12 p., https://doi.org/10.1186/s40317-015-0089-9.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2012-09-01","temporalEnd":"2013-02-28","ipdsId":"IP-062733","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-015-0089-9","text":"Publisher Index Page"},{"id":311179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.40771484375,\n 29.818008344682042\n ],\n [\n -85.31295776367188,\n 29.821582720575016\n ],\n [\n -85.30746459960938,\n 29.68685971706881\n ],\n [\n -85.35964965820312,\n 29.682087444299334\n ],\n [\n -85.40634155273438,\n 29.785833211631733\n ],\n [\n -85.41458129882812,\n 29.81205076752506\n ],\n [\n -85.40771484375,\n 29.818008344682042\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","issue":"53","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-02","publicationStatus":"PW","scienceBaseUri":"56431533e4b0aafbcd017faa","contributors":{"authors":[{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":579612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fujisaki, Ikuko","contributorId":38359,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":579613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephens, Brail S.","contributorId":105214,"corporation":false,"usgs":true,"family":"Stephens","given":"Brail","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":579614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hackett, Caitlin","contributorId":149797,"corporation":false,"usgs":false,"family":"Hackett","given":"Caitlin","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":579615,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159580,"text":"70159580 - 2015 - Hydrogeochemical effects of a bulkhead in the Dinero mine tunnel, Sugar Loaf mining district, near Leadville, Colorado","interactions":[],"lastModifiedDate":"2018-09-04T15:44:27","indexId":"70159580","displayToPublicDate":"2015-11-10T16:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeochemical effects of a bulkhead in the Dinero mine tunnel, Sugar Loaf mining district, near Leadville, Colorado","docAbstract":"The Dinero mine drainage tunnel is an abandoned, draining mine adit near Leadville, Colorado, that has an adverse effect on downstream water quality and aquatic life. In 2009, a bulkhead was constructed (creating a mine pool and increasing water-table elevations behind the tunnel) to limit drainage from the tunnel and improve downstream water quality. The goal of this study was to document changes to hydrology and water quality resulting from bulkhead emplacement, and to understand post-bulkhead changes in source water and geochemical processes that control mine-tunnel discharge and water quality. Comparison of pre-and post-bulkhead hydrology and water quality indicated that tunnel discharge and zinc and manganese loads decreased by up to 97 percent at the portal of Dinero tunnel and at two downstream sites (LF-537 and LF-580). However, some water-quality problems persisted at LF-537 and LF-580 during high-flow events and years, indicating the effects of the remaining mine waste in the area. In contrast, post-bulkhead water quality degraded at three upstream stream sites and a draining mine tunnel (Nelson tunnel). Water-quality degradation in the streams likely occurred from increased contributions of mine-pool groundwater to the streams. In contrast, water-quality degradation in the Nelson tunnel was likely from flow of mine-pool water along a vein that connects the Nelson tunnel to mine workings behind the Dinero tunnel bulkhead. Principal components analysis, mixing analysis, and inverse geochemical modeling using PHREEQC indicated that mixing and geochemical reactions (carbonate dissolution during acid weathering, precipitation of goethite and birnessite, and sorption of zinc) between three end-member water types generally explain the pre-and post-bulkhead water composition at the Dinero and Nelson tunnels. The three end members were (1) a relatively dilute groundwater having low sulfate and trace element concentrations; (2) mine pool water, and (3) water that flowed from a structure in front of the bulkhead after bulkhead emplacement. Both (2) and (3) had high sulfate and trace element concentrations. These results indicate how analysis of monitoring information can be used to understand hydrogeochemical changes resulting from bulkhead emplacement. This understanding, in turn, can help inform future decisions on the disposition of the remaining mine waste and water-quality problems in the area.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2015.03.002","usgsCitation":"Walton-Day, K., and Mills, T.J., 2015, Hydrogeochemical effects of a bulkhead in the Dinero mine tunnel, Sugar Loaf mining district, near Leadville, Colorado: Applied Geochemistry, v. 62, p. 61-74, https://doi.org/10.1016/j.apgeochem.2015.03.002.","productDescription":"14 p.","startPage":"61","endPage":"74","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057803","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":311176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Lake County","otherGeospatial":"Sugar Loaf Mining District","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.3974380493164,\n 39.236109077098135\n ],\n [\n -106.3974380493164,\n 39.26934111143279\n ],\n [\n -106.36722564697266,\n 39.26934111143279\n ],\n [\n -106.36722564697266,\n 39.236109077098135\n ],\n [\n -106.3974380493164,\n 39.236109077098135\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"62","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56431534e4b0aafbcd017fb0","contributors":{"authors":[{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":1245,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":579558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Taylor J. 0000-0001-7252-0521 tmills@usgs.gov","orcid":"https://orcid.org/0000-0001-7252-0521","contributorId":4658,"corporation":false,"usgs":true,"family":"Mills","given":"Taylor","email":"tmills@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":579559,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159182,"text":"sim3341 - 2015 - Seabed maps showing topography, ruggedness, backscatter intensity, sediment mobility, and the distribution of geologic substrates in Quadrangle 6 of the Stellwagen Bank National Marine Sanctuary Region offshore of Boston, Massachusetts","interactions":[],"lastModifiedDate":"2026-04-02T18:55:39.361302","indexId":"sim3341","displayToPublicDate":"2015-11-10T15:45:00","publicationYear":"2015","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":"3341","title":"Seabed maps showing topography, ruggedness, backscatter intensity, sediment mobility, and the distribution of geologic substrates in Quadrangle 6 of the Stellwagen Bank National Marine Sanctuary Region offshore of Boston, Massachusetts","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration's National Marine Sanctuary Program, has conducted seabed mapping and related research in the Stellwagen Bank National Marine Sanctuary (SBNMS) region since 1993. The area is approximately 3,700 square kilometers (km2) and is subdivided into 18 quadrangles. Seven maps, at a scale of 1:25,000, of quadrangle 6 (211 km2) depict seabed topography, backscatter, ruggedness, geology, substrate mobility, mud content, and areas dominated by fine-grained or coarse-grained sand. Interpretations of bathymetric and seabed backscatter imagery, photographs, video, and grain-size analyses were used to create the geology-based maps. In all, data from 420 stations were analyzed, including sediment samples from 325 locations. The seabed geology map shows the distribution of 10 substrate types ranging from boulder ridges to immobile, muddy sand to mobile, rippled sand. Mapped substrate types are defined on the basis of sediment grain-size composition, surface morphology, sediment layering, the mobility or immobility of substrate surfaces, and water depth range. This map series is intended to portray the major geological elements (substrates, topographic features, processes) of environments within quadrangle 6. Additionally, these maps will be the basis for the study of the ecological requirements of invertebrate and vertebrate species that utilize these substrates and guide seabed management in the region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3341","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration","usgsCitation":"Valentine, P.C., and Gallea, L.B., 2015, Seabed maps showing topography, ruggedness, backscatter intensity, sediment mobility, and the distribution of geologic substrates in quadrangle 6 of the Stellwagen Bank National Marine Sanctuary region offshore of Boston, Massachusetts: U.S. Geological Survey Scientific Investigations Map 3341, 10 sheets, scale 1:25,000, and 21-p. pamphlet, https://dx.doi.org/10.3133/sim3341.","productDescription":"Report: vii, 21 p.; 10 Plates: 28.0 x 36.0 inches; Table; Spatial Data","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-026747","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":426835,"rank":18,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sim3515","text":"Scientific Investigations Map 3515","linkHelpText":"- Seabed Maps Showing Topography, Ruggedness, Backscatter Intensity, Sediment Mobility, and the Distribution of Geologic Substrates in Quadrangle 5 of the Stellwagen Bank National Marine Sanctuary Region Offshore of Boston, Massachusetts"},{"id":311079,"rank":17,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3341/data/SIM3341_stations_geology.zip","text":"Station location data and metadata","size":"0.3 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3341"},{"id":311078,"rank":16,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3341/data/bathy/SIM3341_13mbathy.zip","text":"Bathymetry data and metadata","size":"2.5 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3341"},{"id":311077,"rank":15,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3341/data/SIM3341_1m_contours.zip","text":"1-meter contour data and metadata","size":"0.6 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3341"},{"id":311027,"rank":14,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3341/data/SIM3341_geologic_interp.zip","text":"Geologic interpretation data and metadata","size":"0.6 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3341"},{"id":311026,"rank":13,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sim/3341/downloads/sim3341_table4.xlsx","text":"Table 4 - Sediment sample grain-size analyses and assignment to geologic substrates","size":"136 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIM 3341"},{"id":311025,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3341/downloads/sim3341_mapG.pdf","text":"Map G - Distribution of substrate mud content","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3341","linkHelpText":"(28” x 36”)"},{"id":311024,"rank":11,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3341/downloads/sim3341_mapF.pdf","text":"Map F - Distribution of fine- and coarse-grained sand","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3341","linkHelpText":"(28” x 36”)"},{"id":311023,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3341/downloads/sim3341_mapE.pdf","text":"Map E - Sediment mobility","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3341","linkHelpText":"(28” x 36”)"},{"id":311022,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3341/downloads/sim3341_mapD_sheet4.pdf","text":"Map D, Distribution of geologic substrates, Sheet 4 - Seabed geology and sun-illuminated topography","size":"4.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3341","linkHelpText":"(28” x 36”)"},{"id":311021,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3341/downloads/sim3341_mapD_sheet3.pdf","text":"Map D, Distribution of geologic substrates, Sheet 3 - Seabed geology and station data types","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3341","linkHelpText":"(28” x 36”)"},{"id":311020,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3341/downloads/sim3341_mapD_sheet2.pdf","text":"Map D, Distribution of geologic substrates, Sheet 2 - Seabed geology and stations","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3341","linkHelpText":"(28” x 38.5”)"},{"id":311019,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3341/downloads/sim3341_mapD_sheet1.pdf","text":"Map D, Distribution of geologic substrates, Sheet 1 - Seabed geology","size":"1.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3341","linkHelpText":"(28” x 36”)"},{"id":311017,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3341/downloads/sim3341_mapC.pdf","text":"Map C - Backscatter intensity and sun-illuminated topography","size":"3.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3341","linkHelpText":"(28” x 36”)"},{"id":311016,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3341/downloads/sim3341_mapB.pdf","text":"Map B - Seabed ruggedness","size":"1.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3341","linkHelpText":"(28” x 36”)"},{"id":311015,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3341/downloads/sim3341_mapA.pdf","text":"Map A - Sun-illuminated topography and boulder ridges","size":"4.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3341","linkHelpText":"(28” x 36”)"},{"id":502034,"rank":20,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sim3544","text":"Scientific Investigations Map 3544","linkHelpText":"- Seabed Maps Showing Topography, Ruggedness, Backscatter Intensity, Sediment Mobility, and the Distribution of Geologic Substrates in Quadrangle 3 of the Stellwagen Bank National Marine Sanctuary Region Offshore of Boston, Massachusetts"},{"id":465154,"rank":19,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sim3530","text":"Scientific Investigations Map 3530","linkHelpText":"- Seabed Maps Showing Topography, Ruggedness, Backscatter Intensity, Sediment Mobility, and the Distribution of Geologic Substrates in Quadrangle 2 of the Stellwagen Bank National Marine Sanctuary Region Offshore of Boston, Massachusetts"},{"id":311014,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3341/sim3341.pdf","text":"Pamphlet","size":"6.79 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3341"},{"id":311013,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3341/coverthb.jpg"}],"country":"United States","state":"Massachusetts","city":"Boston","otherGeospatial":"Stellwagen Bank National Marine Sanctuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.565185546875,\n 42.09822241118974\n ],\n [\n -70.565185546875,\n 42.64204079304428\n ],\n [\n -69.993896484375,\n 42.64204079304428\n ],\n [\n -69.993896484375,\n 42.09822241118974\n ],\n [\n -70.565185546875,\n 42.09822241118974\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Coastal and Marine Geology Program Coordinator
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13 National Center
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http://marine.usgs.gov
Direct linkages between endocrine-disrupting compounds (EDCs) from municipal and industrial wastewaters and impacts on wild fish assemblages are rare. The levels of plasma vitellogenin (Vtg) and Vtg messenger ribonucleic acid (mRNA) in male fathead minnows (Pimephales promelas) exposed to wastewater effluents and dilutions of 17α-ethinylestradiol (EE2), estrogen activity, and fish assemblages in 10 receiving streams were assessed to improve understanding of important interrelations. Results from 4-d laboratory assays indicate that EE2, plasma Vtg concentration, and Vtg gene expression in fathead minnows, and 17β-estradiol equivalents (E2Eq values) were highly related to each other (R2 = 0.98–1.00). Concentrations of E2Eq in most effluents did not exceed 2.0 ng/L, which was possibly a short-term exposure threshold for Vtg gene expression in male fathead minnows. Plasma Vtg in fathead minnows only increased significantly (up to 1136 μg/mL) in 2 wastewater effluents. Fish assemblages were generally unaffected at 8 of 10 study sites, yet the density and biomass of 79% to 89% of species populations were reduced (63–68% were reduced significantly) in the downstream reach of 1 receiving stream. These results, and moderate to high E2Eq concentrations (up to 16.1 ng/L) observed in effluents during a companion study, suggest that estrogenic wastewaters can potentially affect individual fish, their populations, and entire fish communities in comparable systems across New York, USA.
","language":"English","publisher":"SETAC Press","doi":"10.1002/etc.3120","usgsCitation":"Baldigo, B.P., George, S.D., Phillips, P., Hemming, J.D., Denslow, N., and Kroll, K.J., 2015, Potential estrogenic effects of wastewaters on gene expression in Pimephales promelas and fish assemblages in streams of southeastern New York: Environmental Toxicology and Chemistry, v. 34, no. 12, p. 2803-2815, https://doi.org/10.1002/etc.3120.","productDescription":"13 p.","startPage":"2803","endPage":"2815","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043001","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":471656,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.3120","text":"Publisher Index Page"},{"id":311165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.8336181640625,\n 41.25406487942273\n ],\n [\n -73.8336181640625,\n 41.53119809844284\n ],\n [\n -73.56170654296875,\n 41.53119809844284\n ],\n [\n -73.56170654296875,\n 41.25406487942273\n ],\n [\n -73.8336181640625,\n 41.25406487942273\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.267333984375,\n 42.037054301883806\n ],\n [\n -75.267333984375,\n 42.42142901536395\n ],\n [\n -74.14398193359375,\n 42.42142901536395\n ],\n [\n -74.14398193359375,\n 42.037054301883806\n ],\n [\n -75.267333984375,\n 42.037054301883806\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"12","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-01","publicationStatus":"PW","scienceBaseUri":"56431535e4b0aafbcd017fb4","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":579382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":579384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phillips, Patrick J. pjphilli@usgs.gov","contributorId":149753,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick J.","email":"pjphilli@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":579383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hemming, Joceyln D. C.","contributorId":149754,"corporation":false,"usgs":false,"family":"Hemming","given":"Joceyln","email":"","middleInitial":"D. C.","affiliations":[{"id":17815,"text":"Wisconsin State Laboratory of Hygiene","active":true,"usgs":false}],"preferred":false,"id":579385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Denslow, Nancy D.","contributorId":72831,"corporation":false,"usgs":true,"family":"Denslow","given":"Nancy D.","affiliations":[],"preferred":false,"id":579386,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kroll, Kevin J.","contributorId":82051,"corporation":false,"usgs":true,"family":"Kroll","given":"Kevin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":579387,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70162025,"text":"70162025 - 2015 - Agencies collaborate, develop a cyanobacteria assessment network","interactions":[],"lastModifiedDate":"2018-08-10T09:56:46","indexId":"70162025","displayToPublicDate":"2015-11-10T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Agencies collaborate, develop a cyanobacteria assessment network","docAbstract":"Cyanobacteria are a genetically diverse group of photosynthetic microorganisms that occupy a broad range of habitats on land and water all over the world. They release toxins that can cause lung and skin irritation, alter the taste and odor of potable water, and cause human and animal illness. Cyanobacteria blooms occur worldwide, and climate change may increase the frequency, duration, and extent of these bloom events.
\nRapid detection of potentially harmful blooms is essential to protect humans and animals from exposure. Information about potential for exposure, such as bloom duration, frequency, and extent, is especially critical for developing environmental management decisions during periods of limited resources and funding.
\nThe National Research Council (NRC) report Exposure Science in the 21st Century suggested that effectively assessing and mitigating exposures requires techniques for rapid measurement of a stressor, such as an algal bloom, across diverse geographic, temporal, and biologic scales (e.g., various bloom concentrations) and an enhanced infrastructure to address threats [NRC, 2012]. The report specifically calls for approaches that use diverse information, such as satellite remote sensing, to identify and understand exposures that may pose a threat to ecosystems or human health.
\nA collaborative effort integrates the work of the U.S. Environmental Protection Agency (EPA), NASA, the National Oceanic and Atmospheric Administration (NOAA), and the U.S. Geological Survey (USGS) to provide an approach for using satellite ocean color capabilities in U.S. fresh and brackish water quality management decisions. The overarching goal of this collaborative project is to detect and quantify cyanobacteria blooms using satellite data records in order to support the environmental management and public use of U.S. lakes and reservoirs.
\nSatellite remote sensing tools may enable policy makers and environmental managers to assess the sustainability of watershed ecosystems and the services they provide, now and in the future. Satellite technology allows us to develop early-warning indicators of cyanobacteria blooms at the local scale while maintaining continuous national coverage.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2015EO038809","usgsCitation":"Schaeffer, B., Loftin, K.A., Stumpf, R., and Werdell, P., 2015, Agencies collaborate, develop a cyanobacteria assessment network: Eos, Earth and Space Science News, v. 96, HTML Document, https://doi.org/10.1029/2015EO038809.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063681","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":471657,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2015eo038809","text":"Publisher Index Page"},{"id":314537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a0bdc5e4b0961cf280dc0a","contributors":{"authors":[{"text":"Schaeffer, Blake A.","contributorId":152172,"corporation":false,"usgs":false,"family":"Schaeffer","given":"Blake A.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":588361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":588360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stumpf, Richard P.","contributorId":7739,"corporation":false,"usgs":true,"family":"Stumpf","given":"Richard P.","affiliations":[],"preferred":false,"id":588362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Werdell, P. Jeremy","contributorId":152173,"corporation":false,"usgs":false,"family":"Werdell","given":"P. Jeremy","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":588363,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70155507,"text":"ofr20151139 - 2015 - Hydraulic laboratory testing of Sontek-IQ Plus","interactions":[],"lastModifiedDate":"2015-11-10T13:12:47","indexId":"ofr20151139","displayToPublicDate":"2015-11-10T14:00:00","publicationYear":"2015","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":"2015-1139","title":"Hydraulic laboratory testing of Sontek-IQ Plus","docAbstract":"The SonTek-IQ Plus (IQ Plus) is a bottom-mounted Doppler instrument used for the measurement of water depth and velocity. Evaluation testing of the IQ Plus was performed to assess the accuracy of water depth, discharge, and velocity measurements. The IQ Plus met the manufacturer’s specifications and the U.S. Geological Survey (USGS) standard for depth accuracy measurement when the unit was installed, according to the manufacturer’s instructions, at 0 degrees pitch and roll. However, because of the limited depth testing conducted, the depth measurement is not recommended as a primary stage measurement. The IQ Plus was tested in a large indoor tilting flume in a 5-foot (ft) wide, approximately 2.3-ft deep section with mean velocities of 0.5, 1, 2, and 3 ft per second. Four IQ Plus instruments using firmware 1.52 tested for water-discharge accuracy using SonTek’s “theoretical” discharge method had a negative bias of -2.4 to -11.6 percent when compared with discharge measured with a SonTek FlowTracker and the midsection discharge method. The IQ Pluses with firmware 1.52 did not meet the manufacturer’s specification of +/-1 percent for measuring velocity. Three IQ Pluses using firmware 1.60 and SonTek’s “theoretical” method had a difference of -1.6 to -7.9 percent when compared with discharge measured with a SonTek FlowTracker and the midsection method. Mean-velocity measurements with firmware 1.60 met the manufacturer’s specification and Price Type AA meter accuracy requirements when compared with FlowTracker measurements. Because of the instrument’s velocity accuracy, the SonTek-IQ Plus with firmware 1.60 is considered acceptable for use as an index velocity instrument for the USGS. The discharge computed by the SonTek-IQ Plus during the tests had a substantial negative bias and will not be as accurate as a discharge computed with the index velocity method. The USGS does not recommend the use of undocumented computation methods, such as SonTek’s “theoretical” method for computing discharge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151139","usgsCitation":"Fulford, J.M., and Kimball, Scott, 2015, Hydraulic laboratory testing of SonTek-IQ Plus: U.S. Geological Survey Open-File Report 2015–1139, 16 p., https://dx.doi.org/10.3133/ofr20151139.","productDescription":"vi, 16 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065363","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":311142,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1139/ofr20151139.pdf","text":"Report","size":"1.09 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1139"},{"id":311141,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1139/coverthb.jpg"}],"contact":"Chief, Hydrologic Instrumentation Facility
U.S. Geological Survey
Building 2101
Stennis Space Center, MS 39529
http://water.usgs.gov/hif/
In a study conducted by the U.S. Geological Survey (USGS) in cooperation with the New York State Department of Environmental Conservation, water samples were collected from 4 production wells and 4 domestic wells in the Chemung River Basin, 8 production wells and 7 domestic wells in the Eastern Lake Ontario Basin, and 12 production wells and 13 domestic wells in the Lower Hudson River Basin (south of the Federal Lock and Dam at Troy) in New York. All samples were collected in June, July, and August 2013 to characterize groundwater quality in these basins. The samples were collected and processed using standard USGS procedures and were analyzed for 148 physiochemical properties and constituents, including dissolved gases, major ions, nutrients, trace elements, pesticides, volatile organic compounds, radionuclides, and indicator bacteria.
\nThe Chemung River Basin study area covers 1,744 square miles in south-central New York and encompasses the part of the Chemung River Basin that lies within New York. Two of the wells sampled in the Chemung River Basin are completed in sand and gravel, and 6 are completed in bedrock. Groundwater in the Chemung River Basin was generally of good quality, although properties and concentrations of some constituents—sodium, arsenic, aluminum, iron, manganese, radon-222, total coliform bacteria, and Escherichia coli bacteria—equaled or exceeded primary, secondary, or proposed drinking-water standards. The constituent most frequently detected in concentrations exceeding drinking-water standards (six of eight samples) was radon-222.
\nThe Eastern Lake Ontario Basin study area covers 3,225 square miles in north-central New York. The Eastern Lake Ontario Basin (between the Oswego River Basin and the St. Lawrence River Basin) includes the Mid-Northern Lake Ontario Basin, the Black River Basin, and the Chaumont River-Perch River Basin. Five of the wells sampled in the Eastern Lake Ontario Basin are completed in sand and gravel, and 10 are completed in bedrock. Groundwater in the Eastern Lake Ontario Basin was generally of good quality, although properties and concentrations of some constituents—color, pH, sodium, dissolved solids, fluoride, iron, manganese, uranium, gross-α radioactivity, radon-222, total coliform bacteria, and fecal coliform bacteria—equaled or exceeded primary, secondary, or proposed drinking-water standards. The constituent most frequently detected in concentrations exceeding drinking-water standards (10 of 15 samples) was radon-222.
\nThe Lower Hudson River Basin study area covers 5,607 square miles and encompasses the part of the Lower Hudson River Basin that lies within New York plus the parts of the Housatonic, Hackensack, Bronx, and Saugatuck River Basins that are in New York. Twelve of the wells sampled in the Lower Hudson River Basin are completed in sand-and-gravel deposits, and 13 are completed in bedrock. Groundwater in the Lower Hudson River Basin was generally of good quality, although properties and concentrations of some constituents—pH, sodium, chloride, dissolved solids, arsenic, aluminum, iron, manganese, radon-222, total coliform bacteria, fecal coliform bacteria, Escherichia coli bacteria, and heterotrophic plate count—equaled or exceeded primary, secondary, or proposed drinking-water standards. The constituent most frequently detected in concentrations exceeding drinking-water standards (20 of 25 samples) was radon-222.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151168","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Scott, T.-M., Nystrom, E.A., and Reddy, J.E., 2015, Groundwater quality in the Chemung River, eastern Lake Ontario, and lower Hudson River Basins, New York, 2013: U.S. Geological Survey Open-File Report 2015–1168, 41 p., appendixes, https://dx.doi.org/10.3133/ofr20151168.","productDescription":"Report: viii, 39 p.; Appendixes: 1-2","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2013-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-061358","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":310960,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1168/ofr20151168.pdf","text":"Report","size":"15.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1168"},{"id":310961,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1168/appendix/ofr20151168_appendix1.xlsx","text":"Appendix 1","size":"113 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1168","linkHelpText":"Results of Water-Sample Analyses, 2013"},{"id":310962,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1168/appendix/ofr20151168_appendix2.xlsx","text":"Appendix 2","size":"58.5 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1168","linkHelpText":"Results of Water-Sample Analyses, 2008 and 2013"},{"id":310959,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1168/coverthb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Chemung River Basin, Eastern Lake Ontario Basin, Lower Hudson River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.6845703125,\n 43.30119623257966\n ],\n [\n -76.6845703125,\n 44.41024041296011\n ],\n [\n -73.76220703125,\n 44.41024041296011\n ],\n [\n -73.76220703125,\n 43.30119623257966\n ],\n [\n -76.6845703125,\n 43.30119623257966\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.7227783203125,\n 42.00032514831621\n ],\n [\n -77.7227783203125,\n 42.44778143462245\n ],\n [\n -76.4263916015625,\n 42.44778143462245\n ],\n [\n -76.4263916015625,\n 42.00032514831621\n ],\n [\n -77.7227783203125,\n 42.00032514831621\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.817138671875,\n 40.81796653313175\n ],\n [\n -73.641357421875,\n 41.0130657870063\n ],\n [\n -73.7127685546875,\n 41.10005163093046\n ],\n [\n -73.4600830078125,\n 41.20758898181025\n ],\n [\n -73.5479736328125,\n 41.29844430929419\n ],\n [\n -73.27880859375,\n 42.742978093466434\n ],\n [\n -74.2291259765625,\n 42.90011265525328\n ],\n [\n -74.72351074218749,\n 41.364441530542244\n ],\n [\n -73.916015625,\n 41.000629848685385\n ],\n [\n -74.036865234375,\n 40.713955826286046\n ],\n [\n -73.817138671875,\n 40.81796653313175\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180-8349
Information requests:
(518) 285-5602
or visit our Web site at:
http://ny.water.usgs.gov
Many waterbird species utilize a diversity of aquatic habitats; however, with increasing anthropogenic needs to manage water regimes there is global concern over impacts to waterbird populations. The federally threatened Piping Plover (Charadrius melodus; hereafter plovers) is a shorebird that breeds in three habitat types in the Prairie Pothole Region of North Dakota, South Dakota, and Canada: riverine sandbars; reservoir shorelines; and prairie wetlands. Water surface areas of these habitats fluctuate in response to wet-dry periods; decreasing water surface areas expose shorelines that plovers utilize for nesting. Climate varies across the region so when other habitats are unavailable for plover nesting because of flooding, prairie wetlands may periodically provide habitat. Over the last century, many of the wetlands used by plovers in the Prairie Pothole Region have been modified to receive water from consolidation drainage (drainage of smaller wetlands into another wetland), which could eliminate shoreline nesting habitat. We evaluated whether consolidation drainage and fuller wetlands have decreased plover presence in 32 wetlands historically used by plovers. We found that wetlands with more consolidation drainage in their catchment and wetlands that were fuller had a lower probability of plover presence. These results suggest that plovers could have historically used prairie wetlands during the breeding season but consolidation drainage and/or climate change have reduced available shoreline habitat for plovers through increased water levels. Prairie wetlands, outside of some alkali wetlands in the western portion of the region, are less studied as habitat for plovers when compared to river and reservoir shorelines. Our study suggests that these wetlands may have played a larger role in plover ecology than previously thought. Wetland restoration and conservation, through the restoration of natural hydrology, may be required to ensure that adequate habitat exists among the three habitat types in the face of existing or changing climate and to ensure long-term conservation.
","language":"English","publisher":"Scientific Journals","doi":"10.3996/072015-JFWM-068","usgsCitation":"McCauley, L.A., Anteau, M.J., and Post van der Burg, M., 2015, Consolidation drainage and climate change may reduce Piping Plover habitat in the Great Plains: Journal of Fish and Wildlife Management, v. 7, no. 1, 9 p., https://doi.org/10.3996/072015-JFWM-068.","productDescription":"9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060019","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":311113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.029541015625,\n 48.45835188280866\n ],\n [\n -103.33740234375,\n 48.58932584966972\n ],\n [\n -102.7001953125,\n 48.545705491847464\n ],\n [\n -102.0849609375,\n 48.27588152743497\n ],\n [\n -101.414794921875,\n 48.144097934938884\n ],\n [\n -100.634765625,\n 48.16608541901253\n ],\n [\n -100.206298828125,\n 48.011975126709956\n ],\n [\n -99.84374999999999,\n 47.4355191531953\n ],\n [\n -99.68994140625,\n 46.392411189814645\n ],\n [\n -100.579833984375,\n 46.2330529447983\n ],\n [\n -100.6732177734375,\n 46.24824991289166\n ],\n [\n -100.71716308593749,\n 46.51351558059737\n ],\n [\n -100.84899902343749,\n 46.66074749832071\n ],\n [\n -100.975341796875,\n 46.88647742351024\n ],\n [\n -101.0797119140625,\n 47.12621341795227\n ],\n [\n -101.2664794921875,\n 47.18224592701489\n ],\n [\n -101.5521240234375,\n 47.37231462056695\n ],\n [\n -101.7498779296875,\n 47.42065432071321\n ],\n [\n -102.05749511718749,\n 47.43923470537306\n ],\n [\n -102.4530029296875,\n 47.431803338643334\n ],\n [\n -102.579345703125,\n 47.56170075451973\n ],\n [\n -102.557373046875,\n 47.71715357016648\n ],\n [\n -102.7386474609375,\n 47.85003078545827\n ],\n [\n -102.7001953125,\n 48.00094957553023\n ],\n [\n -102.9913330078125,\n 48.06706753191901\n ],\n [\n -103.150634765625,\n 48.0156497866894\n ],\n [\n -103.55712890625,\n 47.923704717745686\n ],\n [\n -103.765869140625,\n 48.103763074117765\n ],\n [\n -103.9251708984375,\n 48.334343174592014\n ],\n [\n -104.029541015625,\n 48.45835188280866\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-01","publicationStatus":"PW","scienceBaseUri":"5641c3aae4b0831b7d62e725","contributors":{"authors":[{"text":"McCauley, Lisa A. lmccauley@usgs.gov","contributorId":5048,"corporation":false,"usgs":true,"family":"McCauley","given":"Lisa","email":"lmccauley@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":579519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":579518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Post van der Burg, Max 0000-0002-3943-4194 maxpostvanderburg@usgs.gov","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":4947,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","email":"maxpostvanderburg@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":579520,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160098,"text":"70160098 - 2015 - Accounting for time- and space-varying changes in the gravity field to improve the network adjustment of relative-gravity data","interactions":[],"lastModifiedDate":"2015-12-14T11:38:47","indexId":"70160098","displayToPublicDate":"2015-11-09T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for time- and space-varying changes in the gravity field to improve the network adjustment of relative-gravity data","docAbstract":"The relative gravimeter is the primary terrestrial instrument for measuring spatially and temporally varying gravitational fields. The background noise of the instrument—that is, non-linear drift and random tares—typically requires some form of least-squares network adjustment to integrate data collected during a campaign that may take several days to weeks. Here, we present an approach to remove the change in the observed relative-gravity differences caused by hydrologic or other transient processes during a single campaign, so that the adjusted gravity values can be referenced to a single epoch. The conceptual approach is an example of coupled hydrogeophysical inversion, by which a hydrologic model is used to inform and constrain the geophysical forward model. The hydrologic model simulates the spatial variation of the rate of change of gravity as either a linear function of distance from an infiltration source, or using a 3-D numerical groundwater model. The linear function can be included in and solved for as part of the network adjustment. Alternatively, the groundwater model is used to predict the change of gravity at each station through time, from which the accumulated gravity change is calculated and removed from the data prior to the network adjustment. Data from a field experiment conducted at an artificial-recharge facility are used to verify our approach. Maximum gravity change due to hydrology (observed using a superconducting gravimeter) during the relative-gravity field campaigns was up to 2.6 μGal d−1, each campaign was between 4 and 6 d and one month elapsed between campaigns. The maximum absolute difference in the estimated gravity change between two campaigns, two months apart, using the standard network adjustment method and the new approach, was 5.5 μGal. The maximum gravity change between the same two campaigns was 148 μGal, and spatial variation in gravity change revealed zones of preferential infiltration and areas of relatively high groundwater storage. The accommodation for spatially varying gravity change would be most important for long-duration campaigns, campaigns with very rapid changes in gravity and (or) campaigns where especially precise observed relative-gravity differences are used in the network adjustment.
","language":"English","publisher":"Published for the Royal Astronomical Society, the Deutsche Geophysikalische Gesellschaft, and the European Geophysical Society by Blackwell Scientific Publications","publisherLocation":"Oxford, UK","doi":"10.1093/gji/ggv493","usgsCitation":"Kennedy, J.R., and Ferre, T.P., 2015, Accounting for time- and space-varying changes in the gravity field to improve the network adjustment of relative-gravity data: Geophysical Journal International, v. 2, no. 204, p. 892-906, https://doi.org/10.1093/gji/ggv493.","productDescription":"15 p.","startPage":"892","endPage":"906","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067380","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":471661,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggv493","text":"Publisher Index Page"},{"id":312246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"204","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-10","publicationStatus":"PW","scienceBaseUri":"566ff63be4b09cfe53ca7965","contributors":{"authors":[{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":2172,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":581889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferre, Ty P.A.","contributorId":102167,"corporation":false,"usgs":true,"family":"Ferre","given":"Ty","email":"","middleInitial":"P.A.","affiliations":[],"preferred":false,"id":581890,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159443,"text":"sir20155120 - 2015 - Water Quality, Cyanobacteria, and Environmental Factors and Their Relations to Microcystin Concentrations for Use in Predictive Models at Ohio Lake Erie and Inland Lake Recreational Sites, 2013-14","interactions":[],"lastModifiedDate":"2015-11-10T13:25:43","indexId":"sir20155120","displayToPublicDate":"2015-11-06T13:00:00","publicationYear":"2015","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":"2015-5120","title":"Water Quality, Cyanobacteria, and Environmental Factors and Their Relations to Microcystin Concentrations for Use in Predictive Models at Ohio Lake Erie and Inland Lake Recreational Sites, 2013-14","docAbstract":"Harmful cyanobacterial “algal” blooms (cyanoHABs) and associated toxins, such as microcystin, are a major water-quality issue for Lake Erie and inland lakes in Ohio. Predicting when and where a bloom may occur is important to protect the public that uses and consumes a water resource; however, predictions are complicated and likely site specific because of the many factors affecting toxin production. Monitoring for a variety of environmental and water-quality factors, for concentrations of cyanobacteria by molecular methods, and for algal pigments such as chlorophyll and phycocyanin by using optical sensors may provide data that can be used to predict the occurrence of cyanoHABs.
\nTo test these monitoring approaches, water-quality samples were collected at Ohio recreational sites during May–November in 2013 and 2014. In 2013, samples were collected monthly at eight sites at eight lakes to facilitate an initial assessment and select sites for more intensive sampling during 2014. In 2014, samples were collected approximately weekly at five sites at three lakes. Physical water-quality parameters were measured at the time of sampling. Composite samples were preserved and analyzed for dissolved and total nutrients, toxins, phytoplankton abundance and biovolume, and cyanobacterial genes by molecular methods. Molecular assays were done to enumerate (1) general cyanobacteria, (2) general Microcystis and Dolichospermum (Anabaena), (3) mcyE genes forMicrocystis, Dolichospermum (Anabaena), and Planktothrix targeting deoxyribonucleic acid (DNA), and (4) mcyE transcripts for Microcystis, Dolichospermum (Anabaena), and Planktothrix targeting ribonucleic acid (RNA).The DNA assays for the mcyE gene provide data on cyanobacteria that have the potential to produce microcystin, whereas the RNA assays provide data on cyanobacteria that are actively transcribing the toxin gene. Environmental data were obtained from available online sources. Quality-control (QC) samples were collected and analyzed for all constituents to characterize bias and variability; however, QC data for molecular assays were examined in more detail than for the other constituents. The QC data for molecular assays suggested that sampling variability and qPCR variability were small in comparison with the combined variability associated with sample filtering, extraction and purification, and the matrix itself.
\nA total of 46 water-quality samples were collected during 2013 at 8 beach sites—Buck Creek, Buckeye Crystal, Deer Creek, Harsha Main, Maumee Bay State Park (MBSP) Inland (negative control site), MBSP Lake Erie, Port Clinton, and Sandusky Bay. Microcystin was detected in 67–100 percent of samples at all sites except for MBSP Inland, where microcystin was detected in only 20 percent of samples. Microcystin concentrations ranged from <0.10 to 48 micrograms per liter (µ/L), with the widest range found at MBSP Lake Erie and the highest concentrations found at Buckeye Crystal. Saxitoxin was detected in five samples, and cylindrospermopsin was not detected in any samples.
\nA total of 65 water-quality samples were collected during 2014 at 5 sites on 3 lakes—Buckeye Fairfield and Onion Island, Harsha Main and Campers, and MBSP Lake Erie beach. Four of the sites were bathing beaches and one site, Onion Island, was an offshore boater swim area. Concentrations of microcystin ranged from <0.10 to 240 µ/L and, as in 2013, the widest range was found at MBSP Lake Erie. At Buckeye Lake, microcystin concentrations were consistently high (greater than 20 µ/L), ranging from 23 to 81 µ/L. At Harsha Main and Campers, microcystin concentrations ranged from <0.10 to 15 µ/L. Saxitoxin was detected in four samples collected at MBSP Lake Erie. Throughout the 2014 season, the cyanobacterial community, as determined by molecular and microscopy methods, and the dominance associated with the highest microcystin concentrations were unique to individual lakes. At Buckeye Lake, Planktothrix dominated the cyanobacterial community throughout the season and Planktothrix DNA and RNA were found in 100 percent of samples; Microcystis mcyE DNA was found in low concentrations. At Harsha Lake, Dolichospermum and Microcystis were a substantial percentage of the community from late May through August, and the highest microcystin concentrations occurred in June and July. At MBSP Lake Erie, Microcystis generally dominated from mid-July through early November, and the highest microcystin concentrations occurred in August.
\nSpearman’s correlation coefficient (rho) was computed to determine the relations between environmental and water-quality factors and microcystin concentrations at four sites—Buckeye Fairfield, Buckeye Onion Island, Harsha Main, and MBSP Lake Erie. Factors were evaluated for use as potential independent variables in two types of predictive models—daily and long-term models. Easily or continuously measured water-quality factors and available environmental data are used for daily predictions that do not require a site visit. Data from factors used in daily predictions and results from samples collected and analyzed in a laboratory are used for long-term predictions (a few days to several weeks). A few statistically significant correlations (p ≤ 0.05) between microcystin concentrations and factors for both daily and long-term predictions were found at Buckeye Onion Island, and many were found at Harsha Main and MBSP Lake Erie. There were only a few statistically significant factors for daily predictions at Buckeye Fairfield, likely because of the lack of variability in microcystin concentrations. Among factors for daily predictions, phycocyanin had the highest Spearman’s correlation to microcystin concentrations (rho = 0.79 to 0.93) at all sites except for Buckeye Fairfield. Turbidity, pH, algae category, and Secchi depth were significantly correlated to microcystin concentrations at Harsha Main and MBSP Lake Erie. Algae categories were observational categories from 0 (none) to 4 (extreme). Several discharge variables (Maumee River at Waterville, river mouth is approximately 3.5 miles from the beach) at MBSP Lake Erie were promising environmental factors for daily predictions. In addition to discrete water-quality measurements recorded at Harsha Main at the time of sampling, many manipulated measurements (factors derived from mathematical manipulation of time-series data) available from a nearby continuous monitor were strongly correlated to microcystin concentrations; the highest correlation was found for the relation between microcystin concentrations and the antecedent 7-day average phycocyanin (rho = 0.98). For long-term predictions, the most highly correlated molecular assays were Planktothrix mcyE DNA at Buckeye Onion Island and Microcystis mcyE DNA at Harsha Main and MBSP Lake Erie. Concentrations of several nutrient constituents were significantly correlated to microcystin concentrations including total nitrogen at Buckeye Onion Island, ammonia and nitrate plus nitrite (both negatively correlated) at Harsha Main and MBSP Lake Erie, and total phosphorus at MBSP Lake Erie.
\nThe results of this study showed that water-quality and environmental variables are promising for use in site-specific daily or long-term predictive models. In order to develop more accurate models to predict toxin concentrations at freshwater lake sites, data need to be collected more frequently and for consecutive days in future studies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155120","collaboration":"Prepared in cooperation with the Ohio Water Development Authority","usgsCitation":"Francy, D.S., Graham, J.L., Stelzer, E.A., Ecker, C.D., Brady, A.M.G., Struffolino, Pamela, and Loftin, K.A., 2015, Water quality, cyanobacteria, and environmental factors and their relations to microcystin concentrations for use in predictive models at Ohio Lake Erie and inland lake recreational sites, 2013–14: U.S. Geological Survey Scientific Investigations Report 2015–5120, 58 p., https://dx.doi.org/10.3133/sir20155120.","productDescription":"Report: vii, 58 p.; Appendix","numberOfPages":"70","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2013-05-01","temporalEnd":"2014-11-01","ipdsId":"IP-064699","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":310974,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5120/sir20155120.pdf","text":"Report","size":"9.41 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":310973,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5120/coverthb.jpg"},{"id":310975,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5120/sir20155120_appendix2_phytoplanktondata.xlsx","text":"Appendix 2","size":"181 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 2","linkHelpText":"Phytoplankton abundance and community composition at Ohio recreational lake sites, 2013–14."}],"country":"United States","state":"Ohio","otherGeospatial":"Buck Creek State Park, Buckeye Lake State Park, Deer Creek State Park, East Fork State Park, Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.638916015625,\n 41.413895564677304\n ],\n [\n -83.638916015625,\n 41.7672146942102\n ],\n [\n -82.6556396484375,\n 41.7672146942102\n ],\n [\n -82.6556396484375,\n 41.413895564677304\n ],\n [\n -83.638916015625,\n 41.413895564677304\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.54440307617188,\n 39.89498716884207\n ],\n [\n -82.54440307617188,\n 39.94712141785606\n ],\n [\n -82.40432739257812,\n 39.94712141785606\n ],\n [\n -82.40432739257812,\n 39.89498716884207\n ],\n [\n -82.54440307617188,\n 39.89498716884207\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.17449951171875,\n 38.983965305617666\n ],\n [\n -84.17449951171875,\n 39.0533181067413\n ],\n [\n -84.05982971191406,\n 39.0533181067413\n ],\n [\n -84.05982971191406,\n 38.983965305617666\n ],\n [\n -84.17449951171875,\n 38.983965305617666\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.7546157836914,\n 39.94212035820183\n ],\n [\n -83.7546157836914,\n 39.99369266969988\n ],\n [\n -83.70586395263672,\n 39.99369266969988\n ],\n [\n -83.70586395263672,\n 39.94212035820183\n ],\n [\n -83.7546157836914,\n 39.94212035820183\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.27104568481445,\n 39.59748778978444\n ],\n [\n -83.27104568481445,\n 39.64535376010791\n ],\n [\n -83.21285247802734,\n 39.64535376010791\n ],\n [\n -83.21285247802734,\n 39.59748778978444\n ],\n [\n -83.27104568481445,\n 39.59748778978444\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Ohio Water Science Center
U.S. Geological Survey
6480 Doubletree Ave
Columbus, OH 43229-1111
http://oh.water.usgs.gov/
A collection of 24 datasets, including streamflow, well characteristics, groundwater elevations, and discrete water-quality concentrations, is provided to produce a consistent set of example data to demonstrate typical data manipulations or statistical analysis of hydrologic data. These example data are provided in an R package called smwrData. The data in the package have been collected by the U.S. Geological Survey or published in its reports, for example Helsel and Hirsch (2002). The R package provides a convenient mechanism for distributing the data to users of R within the U.S. Geological Survey and other users in the R community.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151103","usgsCitation":"Lorenz, D.L., 2015, smwrData—An R package of example hydrologic data, version 1.1.1: U.S. Geological\nSurvey Open-File Report 2015–1103, 5 p., https://dx.doi.org/10.3133/ofr20151103.","productDescription":"Report: iii, 3 p.; Appendix","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-040392","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":311067,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1103/coverthb.jpg"},{"id":311068,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1103/ofr20151103.pdf","text":"Report","size":"316 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":311069,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1103/downloads/smwrData-manual.pdf","text":"Appendix","size":"193 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix"}],"contact":"Director, Minnesota Water Science Center
U.S. Geological Survey
2280 Woodale Drive
Mounds View, Minnesota 55112
http://mn.water.usgs.gov/
This special issue of Applied Geochemistry honors Dr. D. Kirk Nordstrom, and his influential career spent primarily at the U.S. Geological Survey (USGS). This issue does not herald his retirement or other significant career milestone, but serves as a recognition of the impact his work has had on the field of geochemistry in general. This special issue grew from a symposium in Kirk’s honor (affectionately dubbed “Kirkfest”) at the Geological Society of America’s annual meeting in Denver, Colorado, USA, during October 2013. At GSA, 27 talks and 35 posters showed how Kirk’s work has influenced a wide range of current hydrogeochemical research, from geothermal processes to acid mine drainage to geochemical modeling. The breadth of his knowledge and his many contributions to the published literature have left an indelible mark on the field of geochemistry, and this special issue is a tribute to his experience and contributions.
","language":"English","publisher":"International Association of Geochemistry and Cosmochemistry","publisherLocation":"Oxford","doi":"10.1016/j.apgeochem.2015.04.012","usgsCitation":"Campbell, K.M., Verplanck, P.L., McCleskey, R.B., and Alpers, C.N., 2015, From extreme pH to extreme temperature: An issue in honor of the geochemical contributions of Kirk Nordstrom, USGS hydrogeochemist: Applied Geochemistry, v. 62, p. 1-2, https://doi.org/10.1016/j.apgeochem.2015.04.012.","productDescription":"2 p.","startPage":"1","endPage":"2","ipdsId":"IP-064998","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":330924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58259561e4b01fad86db2415","contributors":{"authors":[{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":653462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":653463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":653464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":653465,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159387,"text":"ofr20151203 - 2015 - Seasonal microbial and environmental parameters at Crocker Reef, Florida Keys, 2014–2015","interactions":[],"lastModifiedDate":"2015-11-04T08:50:58","indexId":"ofr20151203","displayToPublicDate":"2015-11-04T08:00:00","publicationYear":"2015","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":"2015-1203","title":"Seasonal microbial and environmental parameters at Crocker Reef, Florida Keys, 2014–2015","docAbstract":"Crocker Reef, located on the outer reef tract of the Florida Keys (fig. 1), was the site of an integrated “reefscape characterization” effort focused on calcification and related biogeochemical processes as part of the U.S. Geological Survey (USGS) Coral Reef Ecosystem STudies (CREST) project. It is characterized as a senile or dead reef, with only scattered stony coral colonies and areas of sand and rubble. It was chosen as an end-member for later comparison to sites with a healthy, growing reef framework. The CREST reefscape characterization included two intensive seasonal sampling trips to capture summer (July 8–17, 2014) and winter (January 29–February 5, 2015) conditions. This report presents water column microbial and environmental data collected for use as metadata in future publications examining reef metabolic processes via metagenomes derived from water samples and fine-scale temporal and spatial carbonate chemistry measurements.
\nMicrobial measurements included enumeration of total bacteria, enumeration of virus-like particles, and plate counts of Vibrio spp. colony-forming units (CFU). These measurements were intended to give a sense of any seasonal changes in the total microbial load and to provide an indication of water quality. Additional environmental parameters measured included water temperature, salinity, dissolved oxygen, and pH. Four sites (table 1) were intensively sampled for periods of approximately 48 hours during summer (July 2014) and winter (January–February 2015), during which water samples were collected every 4 hours for analysis, except when prevented by weather conditions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151203","usgsCitation":"Kellogg, C.A., Yates, K.K., Lawler, S.N., Moore, C.S., and Smiley, N.A., 2015, Seasonal microbial and environmental parameters at Crocker Reef, Florida Keys, 2014–2015: U.S. Geological Survey Open-File Report 2015–1203, 12 p., https://dx.doi.org/10.3133/ofr20151203.","productDescription":"Report: iv, 12 p.; Data Release","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-068435","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":310880,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1203/coverthb.jpg"},{"id":310883,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://dx.doi.org/10.5066/F74Q7S25","text":"Data Release","linkFileType":{"id":5,"text":"html"},"description":"OFR 2015-1203","linkHelpText":"Microbial and environmental dataset from Crocker Reef, Florida Keys, 2014-2015"},{"id":310881,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1203/ofr20151203.pdf","text":"Report","size":"776 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1203"}],"country":"United States","state":"Florida","otherGeospatial":"Crocker Reef","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.58677673339842,\n 24.94186090727989\n ],\n [\n -80.58677673339842,\n 25.027750592082853\n ],\n [\n -80.49407958984375,\n 25.027750592082853\n ],\n [\n -80.49407958984375,\n 24.94186090727989\n ],\n [\n -80.58677673339842,\n 24.94186090727989\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
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Springs in Black Canyon of the Colorado River, directly south of Hoover Dam in the Lake Mead National Recreation Area, Nevada and Arizona, are important hydrologic features that support a unique riparian ecosystem including habitat for endangered species. Rapid population growth in areas near and surrounding Black Canyon has caused concern among resource managers that such growth could affect the discharge from these springs. The U.S. Geological Survey studied the springs in Black Canyon between January 2008, and May 2014. The purposes of this study were to provide a baseline of discharge and hydrochemical data from selected springs in Black Canyon and to better understand the sources of water to the springs.
\nVarious hydrologic, hydrochemical, geochemical, and geologic data were collected and analyzed during this study. More than 100 hydrologic sites consisting of springs, seeps, pools, rivers, reservoirs, and wells were investigated, and measurements were taken at 75 of these sites. Water levels were measured or compiled for 42 wells and samples of water were collected from 36 unique sites and submitted for laboratory analyses of hydrochemical constituents. Measurements of discrete discharge were made from nine unique spring areas and four sites in Black Canyon were selected for continuous monitoring of discharge. Additionally, samples of rock near Hoover Dam were collected and analyzed to determine the age of spring deposits.
\nResults of hydrochemical analyses indicate that discharge from springs in Black Canyon is from two sources: (1) Lake Mead, and (2) a local and (or) regional source. Discharge from springs closest to Hoover Dam contains a substantial percentage (>50 percent) of water from Lake Mead. This includes springs that are between Hoover Dam and Palm Tree Spring. Discharge from springs south of Palm Tree Spring contains a substantial percentage (>50 percent) of the water that is believed to come from a combination of other local and regional sources, although the exact location and nature of these sources is not clear. The unique hydrochemistry of some springs, such as Bighorn Sheep Spring and Latos Pool, suggests that little if any water discharging from these springs comes from Lake Mead. Geochronological results of spring deposits at several sites near Hoover Dam indicate that most deposits are young and likely formed after the construction of Hoover Dam.
\nSeveral major faults, including the Salt Cedar Fault and the Palm Tree Fault, play an important role in the movement of groundwater. Groundwater may move along these faults and discharge where faults intersect volcanic breccias or fractured rock. Vertical movement of groundwater along faults is suggested as a mechanism for the introduction of heat energy present in groundwater from many of the springs. Groundwater altitudes in the study area indicate a potential for flow from Eldorado Valley to Black Canyon although current interpretations of the geology of this area do not favor such flow. If groundwater from Eldorado Valley discharges at springs in Black Canyon then the development of groundwater resources in Eldorado Valley could result in a decrease in discharge from the springs. Geology and structure indicate that it is not likely that groundwater can move between Detrital Valley and Black Canyon. Thus, the development of groundwater resources in Detrital Valley may not result in a decrease in discharge from springs in Black Canyon.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155130","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Moran, M.J., Wilson, J.W., and Beard, L.S., 2015, Hydrogeology and sources of water to select springs in Black Canyon, south of Hoover Dam, Lake Mead National Recreation Area, Nevada and Arizona: U.S. Geological Survey Scientific Investigations Report 2015–5130, 61 p., https://dx.doi.org/10.3133/sir20155130.","productDescription":"Report: viii, 61 p.; 4 Appendixes","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-060431","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":310988,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5130/coverthb.jpg"},{"id":310989,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5130/sir20155130.pdf","text":"Report","size":"13.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5130"},{"id":310990,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5130/sir20155130_appendixa.xlsx","text":"Appendix A","size":"25 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5130 Appendix A"},{"id":310991,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5130/sir20155130_appendixb.xlsx","text":"Appendix B","size":"32 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5130 Appendix B"},{"id":310992,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5130/sir20155130_appendixc.xlsx","text":"Appendix C","size":"36 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5130 Appendix C"},{"id":310993,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5130/sir20155130_appendixd.xlsx","text":"Appendix D","size":"68 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5130 Appendix D"}],"country":"United States","state":"Arizona, Nevada","otherGeospatial":"Black Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.78790283203125,\n 35.8411948281412\n ],\n [\n -114.78790283203125,\n 36.058536144240506\n ],\n [\n -114.62928771972655,\n 36.058536144240506\n ],\n [\n -114.62928771972655,\n 35.8411948281412\n ],\n [\n -114.78790283203125,\n 35.8411948281412\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Rd.
Carson City, NV 89701
http://nevada.usgs.gov/water/