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For the State of Indiana, elevation data are critical for flood risk management, agriculture and precision farming, natural resources conservation, infrastructure and construction management, aviation navigation and safety, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation's natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143113","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Indiana (Version 1.0: November 19, 2014; Version 1.1: June 5, 2015): U.S. Geological Survey Fact Sheet 2014-3113, 2 p., https://doi.org/10.3133/fs20143113.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059223","costCenters":[{"id":423,"text":"National Geospatial 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Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":519921,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70102156,"text":"sir20105070I - 2014 - Occurrence model for magmatic sulfide-rich nickel-copper-(platinum-group element) deposits related to mafic and ultramafic dike-sill complexes","interactions":[],"lastModifiedDate":"2020-07-01T19:20:33.804546","indexId":"sir20105070I","displayToPublicDate":"2014-11-19T14:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5070","chapter":"I","title":"Occurrence model for magmatic sulfide-rich nickel-copper-(platinum-group element) deposits related to mafic and ultramafic dike-sill complexes","docAbstract":"<p>Magmatic sulfide deposits containing nickel (Ni) and copper (Cu), with or without (&plusmn;) platinum-group elements (PGE), account for approximately 60 percent of the world&rsquo;s nickel production. Most of the remainder of the Ni production is derived from lateritic deposits, which form by weathering of ultramafic rocks in humid tropical conditions. Magmatic Ni-Cu&plusmn;PGE sulfide deposits are spatially and genetically related to bodies of mafic and/or ultramafic rocks. The sulfide deposits form when the mantle-derived mafic and/or ultramafic magmas become sulfide-saturated and segregate immiscible sulfide liquid, commonly following interaction with continental crustal rocks.</p>\n<p>Deposits of magmatic Ni-Cu sulfides occur with mafic and/or ultramafic bodies emplaced in diverse geologic settings. They range in age from Archean to Tertiary, but the largest number of deposits are Archean and Paleoproterozoic. Although deposits occur on most continents, ore deposits (deposits of sufficient size and grade to be economic to mine) are relatively rare; major deposits are present in Russia, China, Australia, Canada, and southern Africa. Nickel-Cu sulfide ore deposits can occur as single or multiple sulfide lenses within mafic and/or ultramafic bodies with clusters of such deposits comprising a district or mining camp. Typically, deposits contain ore grades of between 0.5 and 3 percent Ni and between 0.2 and 2 percent Cu. Tonnages of individual deposits range from a few tens of thousands to tens of millions of metric tons (Mt) bulk ore. Two giant Ni-Cu districts, with &ge;10 Mt Ni, dominate world Ni sulfide resources and production. These are the Sudbury district, Ontario, Canada, where sulfide ore deposits are at the lower margins of a meteorite impact-generated igneous complex and contain 19.8 Mt Ni; and the Noril&rsquo;sk-Talnakh district, Siberia, Russia, where the ore deposits are in subvolcanic mafic intrusions related to flood basalts and contain 23.1 Mt Ni. In the United States, the Duluth Complex in Minnesota, comprised of a group of mafic intrusions related to the 1.1 Ga Midcontinent Rift system, represents a major Ni resource of 8 Mt Ni, but deposits generally exhibit low grades (0.2 percent Ni, 0.66 percent Cu) and remain in the process of being proven economic.</p>\n<p>The sulfides in magmatic Ni-Cu deposits generally constitute a small volume of the host rock(s) and tend to be concentrated in the lower parts of the mafic and/or ultramafic bodies, often in physical depressions or areas marking changes in the geometry of the footwall topography. In most deposits, the sulfide mineralization can be divided into disseminated, matrix or net, and massive sulfide, depending on a combination of the sulfide content of the rock and the silicate texture. The major Ni-Cu sulfide mineralogy typically consists of an intergrowth of pyrrhotite (Fe<sub>7</sub>S<sub>8</sub>), pentlandite ([Fe, Ni]<sub>9</sub>S<sub>8</sub>), and chalcopyrite (FeCuS<sub>2</sub>). Cobalt, PGE, and gold (Au) are extracted from most magmatic Ni-Cu ores as byproducts, although such elements can have a significant impact on the economics in some deposits, such as the Noril&rsquo;sk-Talnakh deposits, which produce much of the world&rsquo;s palladium. In addition, deposits may contain between 1 and 15 percent magnetite associated with the sulfides.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Mineral deposit models for resource assessment","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105070I","issn":"2328-0328","usgsCitation":"Schulz, K.J., Woodruff, L.G., Nicholson, S.W., Seal, R., Piatak, N.M., Chandler, V., and Mars, J.L., 2014, Occurrence model for magmatic sulfide-rich nickel-copper-(platinum-group element) deposits related to mafic and ultramafic dike-sill complexes: U.S. Geological Survey Scientific Investigations Report 2010-5070, x, 80 p., https://doi.org/10.3133/sir20105070I.","productDescription":"x, 80 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-027620","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":296211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20105070i.jpg"},{"id":296210,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5070/i/pdf/sir2010-5070i.pdf","text":"Report","size":"12.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":296209,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5070/i/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546db11ee4b0fc7976bf1e39","contributors":{"authors":[{"text":"Schulz, Klaus J. 0000-0003-2967-4765 kschulz@usgs.gov","orcid":"https://orcid.org/0000-0003-2967-4765","contributorId":2438,"corporation":false,"usgs":true,"family":"Schulz","given":"Klaus","email":"kschulz@usgs.gov","middleInitial":"J.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":525484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":525488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicholson, Suzanne W. 0000-0002-9365-1894 swnich@usgs.gov","orcid":"https://orcid.org/0000-0002-9365-1894","contributorId":880,"corporation":false,"usgs":true,"family":"Nicholson","given":"Suzanne","email":"swnich@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":525487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seal, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":397,"corporation":false,"usgs":true,"family":"Seal","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[],"preferred":false,"id":525486,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":2324,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":525485,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chandler, Val W.","contributorId":57135,"corporation":false,"usgs":true,"family":"Chandler","given":"Val W.","affiliations":[],"preferred":false,"id":525489,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mars, John L. jmars@usgs.gov","contributorId":3428,"corporation":false,"usgs":true,"family":"Mars","given":"John","email":"jmars@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":525483,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70133657,"text":"70133657 - 2014 - Uncertainty analysis of a groundwater flow model in east-central Florida","interactions":[],"lastModifiedDate":"2014-12-05T10:39:49","indexId":"70133657","displayToPublicDate":"2014-11-19T11:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Uncertainty analysis of a groundwater flow model in east-central Florida","docAbstract":"<p>A groundwater flow model for east-central Florida has been developed to help water-resource managers assess the impact of increased groundwater withdrawals from the Floridan aquifer system on heads and spring flows originating from the Upper Floridan aquifer. The model provides a probabilistic description of predictions of interest to water-resource managers, given the uncertainty associated with system heterogeneity, the large number of input parameters, and a nonunique groundwater flow solution. The uncertainty associated with these predictions can then be considered in decisions with which the model has been designed to assist. The &ldquo;Null Space Monte Carlo&rdquo; method is a stochastic probabilistic approach used to generate a suite of several hundred parameter field realizations, each maintaining the model in a calibrated state, and each considered to be hydrogeologically plausible. The results presented herein indicate that the model&rsquo;s capacity to predict changes in heads or spring flows that originate from increased groundwater withdrawals is considerably greater than its capacity to predict the absolute magnitudes of heads or spring flows. Furthermore, the capacity of the model to make predictions that are similar in location and in type to those in the calibration dataset exceeds its capacity to make predictions of different types at different locations. The quantification of these outcomes allows defensible use of the modeling process in support of future water-resources decisions. The model allows the decision-making process to recognize the uncertainties, and the spatial/temporal variability of uncertainties that are associated with predictions of future system behavior in a complex hydrogeological context.</p>","language":"English","publisher":"National Ground Water Association","doi":"10.1111/gwat.12232","usgsCitation":"Sepulveda, N., and Doherty, J.E., 2014, Uncertainty analysis of a groundwater flow model in east-central Florida: Groundwater, https://doi.org/10.1111/gwat.12232.","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050416","costCenters":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"links":[{"id":296204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Lake County, Orange County, Osceola County, Polk County, Seminole County","noUsgsAuthors":false,"publicationDate":"2014-07-12","publicationStatus":"PW","scienceBaseUri":"546db11fe4b0fc7976bf1e4b","contributors":{"authors":[{"text":"Sepulveda, Nicasio 0000-0002-6333-1865 nsepul@usgs.gov","orcid":"https://orcid.org/0000-0002-6333-1865","contributorId":1454,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Nicasio","email":"nsepul@usgs.gov","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":525433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":525434,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70129826,"text":"sir20145175 - 2014 - Basin-scale simulation of current and potential climate changed hydrologic conditions in the Lake Michigan Basin, United States","interactions":[],"lastModifiedDate":"2016-06-14T10:22:57","indexId":"sir20145175","displayToPublicDate":"2014-11-19T11:00:00","publicationYear":"2014","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":"2014-5175","title":"Basin-scale simulation of current and potential climate changed hydrologic conditions in the Lake Michigan Basin, United States","docAbstract":"<p>The Great Lakes Restoration Initiative (GLRI) is the largest public investment in the Great Lakes in two decades. A task force of 11 Federal agencies developed an action plan to implement the initiative. The U.S. Department of the Interior was one of the 11 agencies that entered into an interagency agreement with the U.S. Environmental Protection Agency as part of the GLRI to complete scientific projects throughout the Great Lakes basin. The U.S. Geological Survey, a bureau within the Department of the Interior, is involved in the GLRI to provide scientific support to management decisions as well as measure progress of the Great Lakes basin restoration efforts. This report presents basin-scale simulated current and forecast climatic and hydrologic conditions in the Lake Michigan Basin. The forecasts were obtained by constructing and calibrating a Precipitation-Runoff Modeling System (PRMS) model of the Lake Michigan Basin; the PRMS model was calibrated using the parameter estimation and uncertainty analysis (PEST) software suite. The calibrated model was used to evaluate potential responses to climate change by using four simulated carbon emission scenarios from eight general circulation models released by the World Climate Research Programme&rsquo;s Coupled Model Intercomparison Project phase&nbsp;3. Statistically downscaled datasets of these scenarios were used to project hydrologic response for the Lake Michigan Basin. In general, most of the observation sites in the Lake Michigan Basin indicated slight increases in annual streamflow in response to future climate change scenarios. Monthly streamflows indicated a general shift from the current (2014) winter-storage/snowmelt-pulse system to a system with a more equally distributed hydrograph throughout the year. Simulated soil moisture within the basin illustrates that conditions within the basin are also expected to change on a monthly timescale. One effect of increasing air temperature as a result of the changing climate was the appreciable increase in the length of the growing season in the Lake Michigan Basin. The increase in growing season will cause an increase in evapotranspiration across the Lake Michigan Basin, which will directly affect soil moisture and late growing season streamflows. Output from the Lake Michigan Basin PRMS model is available through an online dynamic web mapping service available at (http://pubs.usgs.gov/sir/2014/5175/). The map service includes layers for the each of the 8 global climate models and 4 carbon emission scenarios combinations for 12 hydrologic model state variables. The layers are pre-rendered maps of annual hydrologic response from 1977 through 2099 that provide an easily accessible online method to examine climate change effects across the Lake Michigan Basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20145175","usgsCitation":"Christiansen, D.E., Walker, J.F., and Hunt, R.J., 2014, Basin-scale simulation of current and potential climate changed hydrologic conditions in the Lake Michigan Basin, United States: U.S. Geological Survey Scientific Investigations Report 2014-5175, Report: vi, 74 p.; 5 Appendices, https://doi.org/10.3133/sir20145175.","productDescription":"Report: vi, 74 p.; 5 Appendices","numberOfPages":"86","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-032245","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":296202,"rank":8,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145175.jpg"},{"id":296197,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5175/downloads/appendix_1.pdf","text":"Appendix 1","size":"4.6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296198,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5175/downloads/appendix_2.pdf","text":"Appendix 2","size":"370 kB","linkFileType":{"id":1,"text":"pdf"}},{"id":296199,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5175/downloads/appendix_3.pdf","text":"Appendix 3","size":"840 kB","linkFileType":{"id":1,"text":"pdf"}},{"id":296196,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5175/pdf/sir2014-5175.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}},{"id":296200,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5175/downloads/appendix_4.pdf","text":"Appendix 4","size":"358 kB","linkFileType":{"id":1,"text":"pdf"}},{"id":297767,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5175/","linkFileType":{"id":5,"text":"html"}},{"id":296201,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5175/downloads/appendix_5.pdf","text":"Appendix 5","size":"357 kB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Indiana, Illinois, Michigan, Wisconsin","otherGeospatial":"Lake Michigan","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546db11ce4b0fc7976bf1e21","contributors":{"authors":[{"text":"Christiansen, Daniel E. 0000-0001-6108-2247 dechrist@usgs.gov","orcid":"https://orcid.org/0000-0001-6108-2247","contributorId":366,"corporation":false,"usgs":true,"family":"Christiansen","given":"Daniel","email":"dechrist@usgs.gov","middleInitial":"E.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, John F. jfwalker@usgs.gov","contributorId":1081,"corporation":false,"usgs":true,"family":"Walker","given":"John","email":"jfwalker@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525459,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70157429,"text":"70157429 - 2014 - Response to comment on “PAH concentrations in lake sediment decline following ban on coal-tar-based pavement sealants in Austin, Texas”","interactions":[],"lastModifiedDate":"2015-09-23T09:57:24","indexId":"70157429","displayToPublicDate":"2014-11-19T11:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Response to comment on “PAH concentrations in lake sediment decline following ban on coal-tar-based pavement sealants in Austin, Texas”","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/es5053107","usgsCitation":"Van Metre, P., and Mahler, B., 2014, Response to comment on “PAH concentrations in lake sediment decline following ban on coal-tar-based pavement sealants in Austin, Texas”: Environmental Science & Technology, v. 48, p. 14063-14064, https://doi.org/10.1021/es5053107.","productDescription":"2 p.","startPage":"14063","endPage":"14064","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060771","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":308421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-19","publicationStatus":"PW","scienceBaseUri":"5603cd59e4b03bc34f544b39","contributors":{"authors":[{"text":"Van Metre, Peter C. pcvanmet@usgs.gov","contributorId":486,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":573148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":573149,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70133832,"text":"70133832 - 2014 - Exploring the long-term balance between net precipitation and net groundwater exchange in Florida seepage lakes","interactions":[],"lastModifiedDate":"2014-12-12T15:08:12","indexId":"70133832","displayToPublicDate":"2014-11-19T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Exploring the long-term balance between net precipitation and net groundwater exchange in Florida seepage lakes","docAbstract":"<p>The long-term balance between net precipitation and net groundwater exchange that maintains thousands of seepage lakes in Florida&rsquo;s karst terrain is explored at a representative lake basin and then regionally for the State&rsquo;s peninsular lake district. The 15-year water budget of Lake Starr includes El Ni&ntilde;o Southern Oscillation (ENSO)-related extremes in rainfall, and provides the longest record of Bowen ratio energy-budget (BREB) lake evaporation and lake-groundwater exchanges in the southeastern United States. Negative net precipitation averaging -25 cm/yr at Lake Starr overturns the previously-held conclusion that lakes in this region receive surplus net precipitation. Net groundwater exchange with the lake was positive on average but too small to balance the net precipitation deficit. Groundwater pumping effects and surface-water withdrawals from the lake widened the imbalance. Satellite-based regional estimates of potential evapotranspiration at five large lakes in peninsular Florida compared well with basin-scale evaporation measurements from seven open-water sites that used BREB methods. The regional average lake evaporation estimated for Lake Starr during 1996-2011 was within 5 percent of its measured average, and regional net precipitation agreed within 10 percent. Regional net precipitation to lakes was negative throughout central peninsular Florida and the net precipitation deficit increased by about 20 cm from north to south. Results indicate that seepage lakes farther south on the peninsula receive greater net groundwater inflow than northern lakes and imply that northern lakes are in comparatively leakier hydrogeologic settings. Findings reveal the peninsular lake district to be more vulnerable than was previously realized to drier climate, surface-water withdrawals from lakes, and groundwater pumping effects.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.04.009","collaboration":"Southwest Florida Water Management District","usgsCitation":"Lee, T.M., Sacks, L.A., and Swancar, A., 2014, Exploring the long-term balance between net precipitation and net groundwater exchange in Florida seepage lakes: Journal of Hydrology, v. 519, no. Part D, p. 3054-3068, https://doi.org/10.1016/j.jhydrol.2014.04.009.","productDescription":"15 p.","startPage":"3054","endPage":"3068","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-012956","costCenters":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"links":[{"id":472635,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2014.04.009","text":"Publisher Index Page"},{"id":296195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Starr","volume":"519","issue":"Part D","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546db11de4b0fc7976bf1e27","contributors":{"authors":[{"text":"Lee, Terrie M. tmlee@usgs.gov","contributorId":2461,"corporation":false,"usgs":true,"family":"Lee","given":"Terrie","email":"tmlee@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":525455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sacks, Laura A.","contributorId":19134,"corporation":false,"usgs":true,"family":"Sacks","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":525456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swancar, Amy aswancar@usgs.gov","contributorId":450,"corporation":false,"usgs":true,"family":"Swancar","given":"Amy","email":"aswancar@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":525454,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70133712,"text":"ofr20141228 - 2014 - Population viability and connectivity of the Louisiana black bear (<i>Ursus americanus luteolus</i>)","interactions":[],"lastModifiedDate":"2014-11-21T13:07:54","indexId":"ofr20141228","displayToPublicDate":"2014-11-19T09:00:00","publicationYear":"2014","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":"2014-1228","title":"Population viability and connectivity of the Louisiana black bear (<i>Ursus americanus luteolus</i>)","docAbstract":"<p>In 1992, the U.S. Fish and Wildlife Service (USFWS) granted&nbsp;<em>Ursus americanus luteolus</em>&nbsp;(Louisiana black bear) threatened status under the U.S. Endangered Species Act of 1973, listing loss and fragmentation of habitat as the primary threats. A study was developed by the U.S. Geological Survey in cooperation with the University of Tennessee, the Louisiana Department of Wildlife and Fisheries, and the USFWS to estimate demographic rates and genetic structure of Louisiana black bear populations; evaluate relations between environmental and anthropogenic factors and demographic, genetic, and movement characteristics of Louisiana black bear populations; and develop data-driven stochastic population projection models to assess long-term persistence of individual subpopulations and the overall black bear population in Louisiana.</p>\n<p>&nbsp;</p>\n<p>Data were collected with non-invasive DNA sampling, live capture, winter den visits, and radio monitoring from 2002 to 2012 in the four areas supporting breeding subpopulations in Louisiana: Tensas River Basin (TRB), Upper Atchafalaya River Basin (UARB), Lower Atchafalaya River Basin (LARB), and Three Rivers Complex (TRC). Bears were live trapped and radio collared in the TRB and TRC to estimate survival and reproductive rates, deterministic matrix models were used to estimate asymptotic growth rates, and stochastic population models were used to estimate long-term viability. DNA extracted from hair collected at baited, barbed-wire enclosures in the TRB, UARB, and LARB and capture-mark-recapture (CMR) analysis based on Bayesian hierarchical modeling methods were used to estimate apparent survival (<em>&phi;</em>), per capita recruitment (<em>&gamma;</em>), abundance (<em>N</em>), realized growth rate (<em>&lambda;</em>), and long-term viability.</p>\n<p>&nbsp;</p>\n<p>From 2002 to 2012, we radio monitored 86 adult females greater than (&gt;) 2 years old within the TRB, and 43 adult females were monitored in the TRC. The mean annual survival rate estimate ranged from 0.97 to 0.99 for the TRB and from 0.93 to 0.97 for the TRC. Fecundity and yearling recruitment in the TRB were 0.47 and 0.15, respectively, whereas estimates for the TRC were 0.37 and 0.18. Depending on estimated carrying capacity, the strength of the density dependence, level of uncertainty, and the treatment of unresolved signals, persistence probabilities for the TRC subpopulation ranged from 0.295 to 0.999.</p>\n<p>&nbsp;</p>\n<p>Estimates of&nbsp;<em>N</em>&nbsp;for females in the TRB ranged from 140 to 163 during 2006&ndash;12 when detection heterogeneity was assumed to follow a logistic-normal distribution (Model 1) and from 133 to 158 when a&nbsp;2-point&nbsp;finite mixture distribution was assumed (Model 2). Annual estimates of&nbsp;<em>&gamma;</em>&nbsp;ranged from 0.00 to 0.16 and from 0 to 0.22, depending on the model, and estimates of&nbsp;<em>&phi;</em>&nbsp;ranged from 0.87 to 0.93 during that period. In the UARB, estimates of&nbsp;<em>N</em>&nbsp;for females ranged from 25 to 44 during the study period, regardless of heterogeneity model. Estimated&nbsp;<em>&gamma;</em>&nbsp;ranged from 0.00 to 0.41, and&nbsp;<em>&phi;</em>&nbsp;ranged from 0.88 to 0.90 during that period. Estimated&nbsp;<em>N</em>&nbsp;for females in the LARB was from 78 to 97 from 2010 to 2012 based on Model 1 and from 68 to 84 based on Model 2. Estimates of&nbsp;<em>&gamma;</em>&nbsp;were 0.00 for 2010&ndash;11 regardless of heterogeneity model and ranged from 0.24 to 0.31 for 2011&ndash;12, depending on the model assumptions. We estimated&nbsp;<em>&phi;</em>&nbsp;as 0.81 for 2010&ndash;11, and from 0.84 to 0.85 for 2011&ndash;12, depending on model assumptions. We estimated &Phi; as 0.81 for 2010&ndash;11, ranging and from 0.84 to 0.85 for 2011&ndash;12, depending on model assumptions.</p>\n<p>&nbsp;</p>\n<p>On the basis of vital rate estimates from Model 1 of the CMR analysis, probability of persistence over 100 years for the TRB population was &gt;0.999, 0.975, and 0.958 for process-only,&nbsp;50-percent&nbsp;(%) credible interval (CI), and 95% CI projections, respectively. Similarly, the probability of persistence based on&nbsp; Model&nbsp;2 was &gt;0.999, 0.982, and 0.958. For the UARB, probabilities of persistence based on Model 1 were &gt;0.999, 0.971, and 0.958 for process-only, 50% CI, and 95% CI projections, respectively, and 0.993, 0.929, and 0.849 for Model 2. Using the telemetry and reproductive data from the TRC, probabilities of persistence were greater than or equal to 0.95 only for projections based on the most optimistic set of assumptions. Assuming that the dynamics of the TRB, TRC, and UARB populations were independent and using the most pessimistic population-specific persistence probabilities (that is, 0.958, 0.295, and 0.849, respectively), the overall probability of persistence for bears in that population system was 0.996.</p>\n<p>&nbsp;</p>\n<p>Genetic methods were used to estimate interchange and structure between subpopulations in Louisiana and in Minnesota (MINN); Mississippi (MISS); and the White River Basin (WRB), Arkansas. Results from the all-population and the WRB&ndash;TRB clustering analyses indicate at least five genetically distinct populations. The genetic clustering and migrant analyses combined with capture data provided direct evidence that interchange has occurred from the WRB to the TRB and MISS, from the TRB to MISS, from the UARB to the TRC, and from the TRC to the TRB. Indirect evidence that interchange occurred from the UARB to the TRC and from the UARB to the TRB by way of the TRC was documented. No evidence was found of interchange from any of the subpopulations to the WRB, UARB, or LARB.</p>\n<p>&nbsp;</p>\n<p>From April 2010 to April 2012, global positioning system (GPS) radio collars were placed on 8 female and 23 male bears ranging from 1 to 11 years of age to develop a step-selection function model to predict routes and rates of interchange. For both males and females, the probability of a step being selected increased as the distance to natural land cover and agriculture at the end of the step decreased and as distance from roads at the end of a step increased. Of 4,000 correlated random walks, the least potential interchange was between TRB and TRC and between UARB and LARB, but the relative potential for natural interchange between UARB and TRC was high. The step-selection model predicted that dispersals between the LARB and UARB populations were infrequent but possible for males and nearly nonexistent for females. No evidence of natural female dispersal between subpopulations has been documented thus far, which is also consistent with model predictions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141228","collaboration":"Prepared in cooperation with the University of Tennessee, Louisiana Department of Wildlife and Fisheries, and the U.S. Fish and Wildlife Service","usgsCitation":"Laufenberg, J.S., and Clark, J.D., 2014, Population viability and connectivity of the Louisiana black bear (<i>Ursus americanus luteolus</i>): U.S. Geological Survey Open-File Report 2014-1228, viii, 104 p., https://doi.org/10.3133/ofr20141228.","productDescription":"viii, 104 p.","numberOfPages":"114","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-060751","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":296182,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1228"},{"id":296184,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1228/pdf/ofr2014-1228.pdf","size":"4.61 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141228.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.04296874999999,\n              28.8927788645183\n            ],\n            [\n              -94.04296874999999,\n              33.02708758002874\n            ],\n            [\n              -88.9727783203125,\n              33.02708758002874\n            ],\n            [\n              -88.9727783203125,\n              28.8927788645183\n            ],\n            [\n              -94.04296874999999,\n              28.8927788645183\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546db11fe4b0fc7976bf1e3f","contributors":{"authors":[{"text":"Laufenberg, Jared S.","contributorId":28899,"corporation":false,"usgs":false,"family":"Laufenberg","given":"Jared","email":"","middleInitial":"S.","affiliations":[{"id":7006,"text":"Department of Forestry, Wildlife and Fisheries, University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":525420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":525419,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70134344,"text":"70134344 - 2014 - Radiocarbon dating loess deposits in the Mississippi Valley using terrestrial gastropod shells (Polygyridae, Helicinidae, and Discidae)","interactions":[],"lastModifiedDate":"2014-12-02T11:34:57","indexId":"70134344","displayToPublicDate":"2014-11-19T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"Radiocarbon dating loess deposits in the Mississippi Valley using terrestrial gastropod shells (Polygyridae, Helicinidae, and Discidae)","docAbstract":"<p>Small terrestrial gastropod shells (mainly Succineidae) have been used successfully to date late Quaternary loess deposits in Alaska and the Great Plains. However, Succineidae shells are less common in loess deposits in the Mississippi Valley compared to those of the Polygyridae, Helicinidae, and Discidae families. In this study, we conducted several tests to determine whether shells of these gastropods could provide reliable ages for loess deposits in the Mississippi Valley. Our results show that most of the taxa that we investigated incorporate small amounts (1&ndash;5%) of old carbon from limestone in their shells, meaning that they should yield ages that are accurate to within a few hundred years. In contrast, shells of the genus&nbsp;<em>Mesodon</em>(<em>Mesodon elevatus</em>&nbsp;and&nbsp;<em>Mesodon zaletus</em>) contain significant and variable amounts of old carbon, yielding ages that are up to a couple thousand&nbsp;<sup>14</sup>C years too old. Although terrestrial gastropod shells have tremendous potential for&nbsp;<sup>14</sup>C dating loess deposits throughout North America, we acknowledge that accuracy to within a few hundred years may not be sufficient for those interested in developing high-resolution loess chronologies. Even with this limitation, however,&nbsp;<sup>14</sup>C dating of terrestrial gastropod shells present in Mississippi Valley loess deposits may prove useful for researchers interested in processes that took place over multi-millennial timescales or in differentiating stratigraphic units that have significantly different ages but similar physical and geochemical properties. The results presented here may also be useful to researchers studying loess deposits outside North America that contain similar gastropod taxa..</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2014.10.005","usgsCitation":"Pigati, J., McGeehin, J., Muhs, D., Grimley, D.A., and Nekola, J.C., 2014, Radiocarbon dating loess deposits in the Mississippi Valley using terrestrial gastropod shells (Polygyridae, Helicinidae, and Discidae): Aeolian Research, v. 16, p. 25-33, https://doi.org/10.1016/j.aeolia.2014.10.005.","productDescription":"9 p.","startPage":"25","endPage":"33","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059465","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":296373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.205078125,\n              28.806173508854776\n            ],\n            [\n              -105.205078125,\n              49.5822260446217\n            ],\n            [\n              -80.5078125,\n              49.5822260446217\n            ],\n            [\n              -80.5078125,\n              28.806173508854776\n            ],\n            [\n              -105.205078125,\n              28.806173508854776\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ee2cfe4b09357f05f8a6a","contributors":{"authors":[{"text":"Pigati, Jeffery S. jpigati@usgs.gov","contributorId":1270,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffery S.","email":"jpigati@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":525908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGeehin, John P. 0000-0002-5320-6091 mcgeehin@usgs.gov","orcid":"https://orcid.org/0000-0002-5320-6091","contributorId":3444,"corporation":false,"usgs":true,"family":"McGeehin","given":"John P.","email":"mcgeehin@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":525909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muhs, Daniel dmuhs@usgs.gov","contributorId":127610,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":525910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grimley, David A.","contributorId":75390,"corporation":false,"usgs":false,"family":"Grimley","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":525911,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nekola, Jeffrey C.","contributorId":26214,"corporation":false,"usgs":false,"family":"Nekola","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":525912,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70128729,"text":"ofr20141205 - 2014 - Evaluation of the Raven sUAS to detect and monitor greater sage-grouse leks within the Middle Park population","interactions":[],"lastModifiedDate":"2014-11-19T13:32:27","indexId":"ofr20141205","displayToPublicDate":"2014-11-18T17:15:00","publicationYear":"2014","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":"2014-1205","title":"Evaluation of the Raven sUAS to detect and monitor greater sage-grouse leks within the Middle Park population","docAbstract":"<p>Staff from the U.S. Geological Survey Fort Collins Science Center and the Colorado Parks and Wildlife Hot Sulphur Springs Office began discussions in 2011 for a proof of concept study to test the Raven RQ-11A small Unmanned Aircraft System (Raven sUAS) for its suitability to detect and monitor greater sage-grouse&nbsp;<em>(Centrocercus urophasianus)</em>&nbsp;breeding sites (leks). During April 2013, the Raven sUAS was flown over two known lek sites within the Middle Park population in Grand County, Colorado. Known sites were flown to determine the reaction of the greater sage-grouse to the aircraft and to determine if the technology had potential for future use of locating new leks and obtaining population counts on known, active lek sites.</p>\n<p>&nbsp;</p>\n<p>The Raven sUAS is a hand-launched reconnaissance and data-gathering tool developed for the U.S. Department of Defense by AeroVironment, Inc. Originally designed to provide aerial observation, day or night, at line-of-site ranges up to 6.2 miles (10 kilometers), the Raven sUAS has a wingspan of 4.5 feet (1.38 meters) and weighs 4.2 pounds (1.9 kilograms). A 60-minute lithium-ion rechargeable battery powers the system which also transmits live video (color or infrared imagery), compass headings, and location information to a ground control station. The Raven sUAS is typically operated by a three-person flight crew consisting of a pilot, mission operator, and a trained observer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141205","collaboration":"Prepared in cooperation with Colorado Parks and Wildlife.","usgsCitation":"Hanson, L., Holmquist-Johnson, C.L., and Cowardin, M.L., 2014, Evaluation of the Raven sUAS to detect and monitor greater sage-grouse leks within the Middle Park population: U.S. Geological Survey Open-File Report 2014-1205, iv, 20 p., https://doi.org/10.3133/ofr20141205.","productDescription":"iv, 20 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-055826","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":296190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141205.jpg"},{"id":296189,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1205/pdf/ofr2014-1205.pdf","text":"Report","size":"16.3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296188,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1205/"}],"country":"United States","state":"Colorado","county":"Grand County","otherGeospatial":"Middle Park","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a75e4b08de9379b3077","contributors":{"authors":[{"text":"Hanson, Leanne hansonl@usgs.gov","contributorId":3231,"corporation":false,"usgs":true,"family":"Hanson","given":"Leanne","email":"hansonl@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":525445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmquist-Johnson, Christopher L. h-johnsonc@usgs.gov","contributorId":922,"corporation":false,"usgs":true,"family":"Holmquist-Johnson","given":"Christopher","email":"h-johnsonc@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":525446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cowardin, Michelle L.","contributorId":117645,"corporation":false,"usgs":true,"family":"Cowardin","given":"Michelle","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":525447,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70123786,"text":"ofr20141179 - 2014 - Stochastic modeling of a lava-flow aquifer system","interactions":[],"lastModifiedDate":"2014-11-18T16:25:28","indexId":"ofr20141179","displayToPublicDate":"2014-11-18T17:15:00","publicationYear":"2014","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":"2014-1179","title":"Stochastic modeling of a lava-flow aquifer system","docAbstract":"<p>This report describes preliminary three-dimensional geostatistical modeling of a lava-flow aquifer system using a multiple-point geostatistical model. The purpose of this study is to provide a proof-of-concept for this modeling approach. An example of the method is demonstrated using a subset of borehole geologic data and aquifer test data from a portion of the Calico Hills Formation, a lava-flow aquifer system that partially underlies Pahute Mesa, Nevada. Groundwater movement in this aquifer system is assumed to be controlled by the spatial distribution of two geologic units&mdash;rhyolite lava flows and zeolitized tuffs. The configuration of subsurface lava flows and tuffs is largely unknown because of limited data. The spatial configuration of the lava flows and tuffs is modeled by using a multiple-point geostatistical simulation algorithm that generates a large number of alternative realizations, each honoring the available geologic data and drawn from a geologic conceptual model of the lava-flow aquifer system as represented by a training image. In order to demonstrate how results from the geostatistical model could be analyzed in terms of available hydrologic data, a numerical simulation of part of an aquifer test was applied to the realizations of the geostatistical model.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20141179","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Cronkite-Ratcliff, C., and Phelps, G.A., 2014, Stochastic modeling of a lava-flow aquifer system: U.S. Geological Survey Open-File Report 2014-1179, iv, 18 p., https://doi.org/10.3133/ofr20141179.","productDescription":"iv, 18 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052382","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":296193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141179.gif"},{"id":296191,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1179/"},{"id":296192,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1179/downloads/ofr2014-1179.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Nevada","otherGeospatial":"Pahute Mesa","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546c6439e4b068a3ebb6f032","contributors":{"authors":[{"text":"Cronkite-Ratcliff, Collin ccronkite-ratcliff@usgs.gov","contributorId":5478,"corporation":false,"usgs":true,"family":"Cronkite-Ratcliff","given":"Collin","email":"ccronkite-ratcliff@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":525440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phelps, Geoffrey A. gphelps@usgs.gov","contributorId":1179,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey","email":"gphelps@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":525441,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70128978,"text":"sir20145200 - 2014 - Turbidity and suspended sediment in the upper Esopus Creek watershed, Ulster County, New York","interactions":[],"lastModifiedDate":"2014-11-18T14:54:54","indexId":"sir20145200","displayToPublicDate":"2014-11-18T15:45:00","publicationYear":"2014","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":"2014-5200","title":"Turbidity and suspended sediment in the upper Esopus Creek watershed, Ulster County, New York","docAbstract":"<p>Suspended-sediment concentrations (SSCs) and turbidity were measured for 2 to 3 years at 14 monitoring sites throughout the upper Esopus Creek watershed in the Catskill Mountains of New York State. The upper Esopus Creek watershed is part of the New York City water-supply system that supplies water to more than 9 million people every day. Turbidity, caused primarily by high concentrations of inorganic suspended particles, is a potential water-quality concern because it colors the water and can reduce the effectiveness of drinking-water disinfection. The purposes of this study were to quantify concentrations of suspended sediment and turbidity levels, to estimate suspended-sediment loads within the upper Esopus Creek watershed, and to investigate the relations between SSC and turbidity. Samples were collected at four locations along the main channel of Esopus Creek and at all of the principal tributaries. Samples were collected monthly and during storms and were analyzed for SSC and turbidity in the laboratory. Turbidity was also measured every 15 minutes at six of the sampling stations with in situ turbidity probes.</p>\n<p>&nbsp;</p>\n<p>The largest tributary, Stony Clove Creek, consistently produced higher SSCs and turbidity than any of the other Esopus Creek tributaries. The rest of the tributaries fell into two groups: those that produced moderate SSCs and turbidity and those that produced low SSCs and turbidity. Within those two groups the tributary that produced the highest SSCs and turbidity varied from year to year depending on the hydrologic conditions within each subwatershed. During the 3-year study, Stony Clove Creek accounted for an average of 40 percent of the annual suspended-sediment load measured at the upper Esopus Creek watershed outlet at Coldbrook, more than all of the other measured tributaries combined. The other tributaries to the upper Esopus Creek, taken together, accounted for an average of about 20 percent of the load at Coldbrook during 2010 and 2011, when most of the tributaries were sampled. Woodland Creek, the third largest tributary in the watershed, also accounted for a substantial amount of the load at Coldbrook, an average of 10 percent during the 3 years. Stony Clove Creek appeared to be a persistent source of sediment to Esopus Creek; it had the highest sediment yield (load per unit area) of all monitoring sites, including the outlet at Coldbrook.</p>\n<p>&nbsp;</p>\n<p>Discharge, SSC, and turbidity were strongly related at the Coldbrook site but not at every monitoring site. In general, relations between discharge and SSC and turbidity were strongest at sites with high SSCs, with the exception of Stony Clove Creek. Stony Clove Creek had high SSCs and turbidity regardless of discharge, and although concentrations and turbidity values generally increased with increasing discharge, the relation was not strong. Five of the six sites used to investigate the relations between SSC and laboratory turbidity had a coefficient of determination (r<sup>2</sup>) greater than 0.7. Relations were not as strong between SSC and the turbidity measured by in situ probes because the period of record was shorter and therefore the sample sizes were smaller. Data from in situ turbidity probes were strongly related to turbidity data measured in the laboratory for all but one of the monitoring sites where the relation was strongly leveraged by one sample. Although the in situ turbidity probes appeared to provide a good surrogate for SSC and could allow more accurate calculations of suspended-sediment load than discrete suspended-sediment samples alone, more data would be required to define the regression models throughout the range in discharge, SSCs, and turbidity levels that occur at each monitoring site. Nonetheless, the in situ probes provided much greater detail about the relation between discharge and turbidity than did the grab samples and storm samples measured in the laboratory.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145200","collaboration":"Prepared in cooperation with the New York City Department of Environmental Protection, New York State Department of Environmental Conservation, and Cornell Cooperative Extension of Ulster County","usgsCitation":"McHale, M.R., and Siemion, J., 2014, Turbidity and suspended sediment in the upper Esopus Creek watershed, Ulster County, New York: U.S. Geological Survey Scientific Investigations Report 2014-5200, viii, 42 p., https://doi.org/10.3133/sir20145200.","productDescription":"viii, 42 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-055338","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":296179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145200.jpg"},{"id":296177,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5200/"},{"id":296178,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5200/pdf/sir2014-5200.pdf","size":"6.3 MB","linkFileType":{"id":1,"text":"pdf"}}],"scale":"250000","projection":"Universal Transverse Mercator projection","country":"United States","state":"New York","county":"Ulster County","otherGeospatial":"Esopus Creek watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.42825317382812,\n              42.08599350447723\n            ],\n            [\n              -74.42825317382812,\n              42.24173542549948\n            ],\n            [\n              -74.21676635742186,\n              42.24173542549948\n            ],\n            [\n              -74.21676635742186,\n              42.08599350447723\n            ],\n            [\n              -74.42825317382812,\n              42.08599350447723\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546c643ae4b068a3ebb6f040","contributors":{"authors":[{"text":"McHale, Michael R. 0000-0003-3780-1816 mmchale@usgs.gov","orcid":"https://orcid.org/0000-0003-3780-1816","contributorId":1735,"corporation":false,"usgs":true,"family":"McHale","given":"Michael","email":"mmchale@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siemion, Jason jsiemion@usgs.gov","contributorId":3011,"corporation":false,"usgs":true,"family":"Siemion","given":"Jason","email":"jsiemion@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519773,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70132428,"text":"ds866 - 2014 - Area- and depth- weighted averages of selected SSURGO variables for the conterminous United States and District of Columbia","interactions":[],"lastModifiedDate":"2016-06-29T13:37:57","indexId":"ds866","displayToPublicDate":"2014-11-18T15:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"866","title":"Area- and depth- weighted averages of selected SSURGO variables for the conterminous United States and District of Columbia","docAbstract":"<p>This digital data release consists of seven data files of soil attributes for the United States and the District of Columbia. The files are derived from National Resources Conservations Service&rsquo;s (NRCS) Soil Survey Geographic database (SSURGO). The data files can be linked to the raster datasets of soil mapping unit identifiers (MUKEY) available through the NRCS&rsquo;s Gridded Soil Survey Geographic (gSSURGO) database (<a href=\"http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcs142p2_053628\">http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcs142p2_053628</a>). The associated files, named DRAINAGECLASS, HYDRATING, HYDGRP, HYDRICCONDITION, LAYER, TEXT, and WTDEP are area- and depth-weighted average values for selected soil characteristics from the SSURGO database for the conterminous United States and the District of Columbia. The SSURGO tables were acquired from the NRCS on March 5, 2014. The soil characteristics in the DRAINAGE table are drainage class (DRNCLASS), which identifies the natural drainage conditions of the soil and refers to the frequency and duration of wet periods. The soil characteristics in the HYDRATING table are hydric rating (HYDRATE), a yes/no field that indicates whether or not a map unit component is classified as a \"hydric soil\". The soil characteristics in the HYDGRP table are the percentages for each hydrologic group per MUKEY. The soil characteristics in the HYDRICCONDITION table are hydric condition (HYDCON), which describes the natural condition of the soil component. The soil characteristics in the LAYER table are available water capacity (AVG_AWC), bulk density (AVG_BD), saturated hydraulic conductivity (AVG_KSAT), vertical saturated hydraulic conductivity (AVG_KV), soil erodibility factor (AVG_KFACT), porosity (AVG_POR), field capacity (AVG_FC), the soil fraction passing a number 4 sieve (AVG_NO4), the soil fraction passing a number 10 sieve (AVG_NO10), the soil fraction passing a number 200 sieve (AVG_NO200), and organic matter (AVG_OM). The soil characteristics in the TEXT table are percent sand, silt, and clay (AVG_SAND, AVG_SILT, and AVG_CLAY). The soil characteristics in the WTDEP table are the annual minimum water table depth (WTDEP_MIN), available water storage in the 0-25 cm soil horizon (AWS025), the minimum water table depth for the months April, May and June (WTDEPAMJ), the available water storage in the first 25 centimeters of the soil horizon (AWS25), the dominant drainage class (DRCLSD), the wettest drainage class (DRCLSWET), and the hydric classification (HYDCLASS), which is an indication of the proportion of the map unit, expressed as a class, that is \"hydric\", based on the hydric classification of a given MUKEY. (See Entity_Description for more detail). The tables were created with a set of arc macro language (aml) and awk (awk was created at Bell Labsin the 1970s and its name is derived from the first letters of the last names of its authors &ndash; Alfred Aho, Peter Weinberger, and Brian Kernighan) scripts. Send an email to&nbsp;<a href=\"mailto:mewieczo@usgs.gov\">mewieczo@usgs.gov</a>&nbsp;to obtain copies of the computer code (See Process_Description.) The methods used are outlined in NRCS's \"SSURGO Data Packaging and Use\" (NRCS, 2011). The tables can be related or joined to the gSSURGO rasters of MUKEYs by the item 'MUKEY.' Joining or relating the tables to a MUKEY grid allows the creation of grids of area- and depth-weighted soil characteristics. A 90-meter raster of MUKEYs is provided which can be used to produce rasters of soil attributes. More detailed resolution rasters are available through NRCS via the link above.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds866","usgsCitation":"Wieczorek, M., 2014, Area- and depth- weighted averages of selected SSURGO variables for the conterminous United States and District of Columbia: U.S. Geological Survey Data Series 866, Metadata; Datasets, https://doi.org/10.3133/ds866.","productDescription":"Metadata; Datasets","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-042720","costCenters":[{"id":374,"text":"Maryland Water Science 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,{"id":70133637,"text":"ofr20141167 - 2014 - Digital Mapping Techniques '11–12 workshop proceedings","interactions":[],"lastModifiedDate":"2014-11-18T10:56:46","indexId":"ofr20141167","displayToPublicDate":"2014-11-18T11:00:00","publicationYear":"2014","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":"2014-1167","title":"Digital Mapping Techniques '11–12 workshop proceedings","docAbstract":"<p>The Digital Mapping Techniques '11 (DMT'11) workshop was hosted by Virginia Division of Geology and Mineral Resources and The College of William &amp; Mary, and coordinated by the National Geologic Map Database project. Conducted May 22-25 on the campus of The College of William &amp; Mary, in Williamsburg, Virginia, it was attended by 77 technical experts from 30 agencies, universities, and private companies, including representatives from 19 State geological surveys (see \"DMT'11 Presentations and Attendees\" in these Proceedings).</p>\n<p>The Digital Mapping Techniques '12 (DMT'12) workshop was hosted by the Illinois State Geological Survey and coordinated by the National Geologic Map Database project. Conducted May 20-23 on the campus of The University of Illinois, in Champaign, Illinois, it was attended by 73 technical experts from 34 agencies, universities, and private companies, including representatives from 25 State geological surveys (see \"DMT'12 Presentations and Attendees\" in these Proceedings).</p>\n<p>At these meetings, oral and poster presentations and special discussion sessions emphasized: (1) methods for creating and publishing map products (here, \"publishing\" includes Web-based release); (2) field data capture software and techniques, including the use of LiDAR; (3) digital cartographic techniques; (4) migration of digital maps into ArcGIS Geodatabase formats; (5) analytical GIS techniques; and (6) continued development of the National Geologic Map Database.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141167","usgsCitation":"Soller, D.R., 2014, Digital Mapping Techniques '11–12 workshop proceedings: U.S. Geological Survey Open-File Report 2014-1167, iv, 134 p., https://doi.org/10.3133/ofr20141167.","productDescription":"iv, 134 p.","numberOfPages":"141","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053871","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":296152,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1167/pdf/ofr2014-1167_dmt11-12.pdf"},{"id":296153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141167.jpg"},{"id":296136,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1167/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546c6433e4b068a3ebb6f007","contributors":{"authors":[{"text":"Soller, David R. 0000-0001-6177-8332 drsoller@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-8332","contributorId":2700,"corporation":false,"usgs":true,"family":"Soller","given":"David","email":"drsoller@usgs.gov","middleInitial":"R.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":525319,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70133423,"text":"70133423 - 2014 - A landscape-based reconnaissance survey of estrogenic activity in streams of the upper Potomac, upper James,and Shenandoah Rivers, USA","interactions":[],"lastModifiedDate":"2018-09-18T16:10:03","indexId":"70133423","displayToPublicDate":"2014-11-18T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"A landscape-based reconnaissance survey of estrogenic activity in streams of the upper Potomac, upper James,and Shenandoah Rivers, USA","docAbstract":"<p><span>Endocrine-disrupting compounds (EDCs) are becoming of increasing concern in waterways of the USA and worldwide. What remains poorly understood, however, is how prevalent these emerging contaminants are in the environment and what methods are best able to determine landscape sources of EDCs. We describe the development of a spatially structured sampling design and a reconnaissance survey of estrogenic activity along gradients of land use within sub-watersheds. We present this example as a useful approach for state and federal agencies with an interest in identifying locations potentially impacted by EDCs that warrant more intensive, focused research. Our study confirms the importance of agricultural activities on levels of a measured estrogenic equivalent (E2Eq) and also highlights the importance of other potential sources of E2Eq in areas where intensive agriculture is not the dominant land use. Through application of readily available geographic information system (GIS) data, coupled with spatial statistical analysis, we demonstrate the correlation of specific land use types to levels of estrogenic activity across a large area in a consistent and unbiased manner.</span></p>","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10661-014-3801-y","usgsCitation":"Young, J.A., Iwanowicz, L., Sperry, A.J., and Blazer, V., 2014, A landscape-based reconnaissance survey of estrogenic activity in streams of the upper Potomac, upper James,and Shenandoah Rivers, USA: Environmental Monitoring and Assessment, v. 186, no. 9, p. 5531-5545, https://doi.org/10.1007/s10661-014-3801-y.","productDescription":"15 p.","startPage":"5531","endPage":"5545","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051151","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":296141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"186","issue":"9","noUsgsAuthors":false,"publicationDate":"2014-05-11","publicationStatus":"PW","scienceBaseUri":"546c642de4b068a3ebb6effa","contributors":{"authors":[{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":525166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Luke R. liwanowicz@usgs.gov","contributorId":386,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","email":"liwanowicz@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":525331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sperry, Adam J. 0000-0002-4815-3730 asperry@usgs.gov","orcid":"https://orcid.org/0000-0002-4815-3730","contributorId":5872,"corporation":false,"usgs":true,"family":"Sperry","given":"Adam","email":"asperry@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":525332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":525333,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70128996,"text":"ofr20141218 - 2014 - World-Wide Standardized Seismograph Network: a data users guide","interactions":[],"lastModifiedDate":"2014-11-18T08:33:52","indexId":"ofr20141218","displayToPublicDate":"2014-11-18T08:45:00","publicationYear":"2014","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":"2014-1218","title":"World-Wide Standardized Seismograph Network: a data users guide","docAbstract":"<p>The purpose of this report, which is based on an unpublished draft prepared in the 1970s, is to provide seismologists with the information they may need to use the WWSSN data set as it becomes available in a more easily accessible and convenient format on the Internet. The report includes a description of the WWSSN network, station facilities, operations and instrumentation, a derivation of the instrument transfer functions, tables of transfer functions, a description of calibration techniques, and a description of a method used to determine important instrument constants using recorded calibration data.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141218","usgsCitation":"Peterson, J.R., and Hutt, C.R., 2014, World-Wide Standardized Seismograph Network: a data users guide: U.S. Geological Survey Open-File Report 2014-1218, viii, 74 p., https://doi.org/10.3133/ofr20141218.","productDescription":"viii, 74 p.","numberOfPages":"82","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056333","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":296135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141218.jpg"},{"id":296134,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1218/pdf/ofr2014-1218.pdf"},{"id":296133,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1218/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546c643be4b068a3ebb6f04a","contributors":{"authors":[{"text":"Peterson, Jon R.","contributorId":61062,"corporation":false,"usgs":true,"family":"Peterson","given":"Jon","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":525300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":525301,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70135283,"text":"70135283 - 2014 - Surveying the South Pole-Aitken basin magnetic anomaly for remnant impactor metallic iron","interactions":[],"lastModifiedDate":"2019-02-18T10:08:52","indexId":"70135283","displayToPublicDate":"2014-11-15T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Surveying the South Pole-Aitken basin magnetic anomaly for remnant impactor metallic iron","docAbstract":"<p><span>The Moon has areas of magnetized crust (\"magnetic anomalies\"), the origins of which are poorly constrained. A magnetic anomaly near the northern rim of South Pole-Aitken (SPA) basin was recently postulated to originate from remnant metallic iron emplaced by the SPA basin-forming impactor. Here, we remotely examine the regolith of this SPA magnetic anomaly with a combination of Clementine and Lunar Prospector derived iron maps for any evidence of enhanced metallic iron content. We find that these data sets do not definitively detect the hypothesized remnant metallic iron within the upper tens of centimeters of the lunar regolith.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2014.08.035","usgsCitation":"Cahill, J.T., Hagerty, J., Lawrence, D.M., Klima, R.L., and Blewett, D.T., 2014, Surveying the South Pole-Aitken basin magnetic anomaly for remnant impactor metallic iron: Icarus, v. 243, p. 27-30, https://doi.org/10.1016/j.icarus.2014.08.035.","productDescription":"4 p.","startPage":"27","endPage":"30","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057347","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":296639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Moon; South Pole-Aitken basin","volume":"243","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"548c1fd6e4b0ca8c43c3697a","contributors":{"authors":[{"text":"Cahill, Joshua T.S.","contributorId":127834,"corporation":false,"usgs":false,"family":"Cahill","given":"Joshua","email":"","middleInitial":"T.S.","affiliations":[{"id":7166,"text":"Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":527010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagerty, Justin 0000-0003-3800-7948 jhagerty@usgs.gov","orcid":"https://orcid.org/0000-0003-3800-7948","contributorId":911,"corporation":false,"usgs":true,"family":"Hagerty","given":"Justin","email":"jhagerty@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":527009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, David M.","contributorId":105206,"corporation":false,"usgs":false,"family":"Lawrence","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":7166,"text":"Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":527011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klima, Rachel L.","contributorId":18666,"corporation":false,"usgs":false,"family":"Klima","given":"Rachel","email":"","middleInitial":"L.","affiliations":[{"id":7166,"text":"Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":527012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blewett, David T.","contributorId":127835,"corporation":false,"usgs":false,"family":"Blewett","given":"David","email":"","middleInitial":"T.","affiliations":[{"id":7166,"text":"Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":527013,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70129407,"text":"sir20145206 - 2014 - Measurement of unsaturated hydraulic properties and evaluation of property-transfer models for deep sedimentary interbeds, Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2014-11-21T13:16:38","indexId":"sir20145206","displayToPublicDate":"2014-11-14T16:30:00","publicationYear":"2014","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":"2014-5206","title":"Measurement of unsaturated hydraulic properties and evaluation of property-transfer models for deep sedimentary interbeds, Idaho National Laboratory, Idaho","docAbstract":"<p>Operations at the Idaho National Laboratory (INL) have the potential to contaminate the underlying Eastern Snake River Plain (ESRP) aquifer. Methods to quantitatively characterize unsaturated flow and recharge to the ESRP aquifer are needed to inform water-resources management decisions at INL. In particular, hydraulic properties are needed to parameterize distributed hydrologic models of unsaturated flow and transport at INL, but these properties are often difficult and costly to obtain for large areas. The unsaturated zone overlying the ESRP aquifer consists of alternating sequences of thick fractured volcanic rocks that can rapidly transmit water flow and thinner sedimentary interbeds that transmit water much more slowly. Consequently, the sedimentary interbeds are of considerable interest because they primarily restrict the vertical movement of water through the unsaturated zone. Previous efforts by the U.S. Geological Survey (USGS) have included extensive laboratory characterization of the sedimentary interbeds and regression analyses to develop property-transfer models, which relate readily available physical properties of the sedimentary interbeds (bulk density, median particle diameter, and uniformity coefficient) to water retention and unsaturated hydraulic conductivity curves.</p>\n<p>&nbsp;</p>\n<p>During 2013&ndash;14, the USGS, in cooperation with the U.S. Department of Energy, focused on further characterization of the sedimentary interbeds below the future site of the proposed Remote Handled Low-Level Waste (RHLLW) facility, which is intended for the long-term storage of low-level radioactive waste. Twelve core samples from the sedimentary interbeds from a borehole near the proposed facility were collected for laboratory analysis of hydraulic properties, which also allowed further testing of the property-transfer modeling approach. For each core sample, the steady-state centrifuge method was used to measure relations between matric potential, saturation, and conductivity. These laboratory measurements were compared to water-retention and unsaturated hydraulic conductivity parameters estimated using the established property-transfer models. For each core sample obtained, the agreement between measured and estimated hydraulic parameters was evaluated quantitatively using the Pearson correlation coefficient (r). The highest correlation is for saturated hydraulic conductivity (<em>K<sub>sat</sub></em>) with an r value of 0.922. The saturated water content (q<sub><em>sat</em></sub>) also exhibits a strong linear correlation with an r value of 0.892. The curve shape parameter (&lambda;) has a value of 0.731, whereas the curve scaling parameter (y<sub>o</sub>) has the lowest r value of 0.528. The r values demonstrate that model predictions correspond well to the laboratory measured properties for most parameters, which supports the value of extending this approach for quantifying unsaturated hydraulic properties at various sites throughout INL.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145206","collaboration":"DOE/ID-22231. Prepared in cooperation with the U.S. Department of Energy.","usgsCitation":"Perkins, K., Johnson, B., and Mirus, B.B., 2014, Measurement of unsaturated hydraulic properties and evaluation of property-transfer models for deep sedimentary interbeds, Idaho National Laboratory, Idaho: U.S. Geological Survey Scientific Investigations Report 2014-5206, v, 15 p., https://doi.org/10.3133/sir20145206.","productDescription":"v, 15 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-058687","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":296127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145206.jpg"},{"id":296125,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5206/"},{"id":296126,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5206/pdf/sir2014-5206.pdf","size":"1.2 MB","linkFileType":{"id":1,"text":"pdf"}}],"scale":"100000","country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.148193359375,\n              43.37311218382002\n            ],\n            [\n              -113.148193359375,\n              43.92163712834673\n            ],\n            [\n              -112.54394531249999,\n              43.92163712834673\n            ],\n            [\n              -112.54394531249999,\n              43.37311218382002\n            ],\n            [\n              -113.148193359375,\n              43.37311218382002\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5467199de4b04d4b7dbde52e","contributors":{"authors":[{"text":"Perkins, Kimberlie kperkins@usgs.gov","contributorId":2270,"corporation":false,"usgs":true,"family":"Perkins","given":"Kimberlie","email":"kperkins@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":519873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Brittany D. bdjohnson@usgs.gov","contributorId":5797,"corporation":false,"usgs":true,"family":"Johnson","given":"Brittany D.","email":"bdjohnson@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":519874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B.","contributorId":12348,"corporation":false,"usgs":false,"family":"Mirus","given":"Benjamin","email":"","middleInitial":"B.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":525230,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70129451,"text":"sir20145207 - 2014 - Assessing inundation hazards to nuclear powerplant sites using geologically extended histories of riverine floods, tsunamis, and storm surges","interactions":[],"lastModifiedDate":"2025-05-13T16:58:59.328596","indexId":"sir20145207","displayToPublicDate":"2014-11-14T16:15:00","publicationYear":"2014","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":"2014-5207","title":"Assessing inundation hazards to nuclear powerplant sites using geologically extended histories of riverine floods, tsunamis, and storm surges","docAbstract":"<p>Most nuclear powerplants in the United States are near rivers, large lakes, or oceans. As evident from the Fukushima Daiichi, Japan, disaster of 2011, these water bodies pose inundation threats. Geologic records can extend knowledge of rare hazards from flooding, storm surges, and tsunamis. This knowledge can aid in assessing the safety of critical structures such as dams and energy plants, for which even remotely possible hazards are pertinent. Quantitative analysis of inundation from geologic records perhaps is most developed for and applied to riverine flood hazards, but because of recent natural disasters, geologic investigations also are now used widely for understanding tsunami hazards and coastal storm surges.</p>\n<p>&nbsp;</p>\n<p>Layered sedimentary deposits commonly give the most complete geologic record of large floods, storm surges, and tsunamis. Sedimentary layers may be preserved for hundreds or thousands of years in suitable depositional environments, thereby providing an archive of rare, high-magnitude events. All inundation hazards discussed in this report&mdash;riverine floods, tsunamis, and storm surges&mdash;have had long records extracted from sedimentary sequences, many specifically for hazard assessment.</p>\n<p>&nbsp;</p>\n<p>Geologic records commonly are imprecise, so most hazard assessments benefit from evaluation of many sites and rigorous uncertainty assessment. Despite uncertainties, geologic records commonly can improve knowledge of the types and magnitudes of hazards threatening specific sites or regions. New statistical tools and approaches can efficiently incorporate geologic information into frequency assessments. These tools are most developed for riverine flood hazards, but are to some degree transferable to other episodic natural phenomena such as tsunamis and storm surges.</p>\n<p>&nbsp;</p>\n<p>Even with these efficient statistical approaches for examining geologic records, systematic landscape changes may reduce the applicability of retrospective assessments. These non-stationarity issues (such as climate change, sea‑level rise, land-use, dams and flow regulation) may all affect the validity of using past experience&mdash;no matter how complete the record&mdash;to assess future likelihoods. These issues require site-specific consideration for nearly all hazard assessments drawn from geologic evidence.</p>\n<p>&nbsp;</p>\n<p>A screening of the 104 nuclear powerplants in the United States licensed by the Nuclear Regulatory Commission (at 64 sites) indicates several sites for which paleoflood studies likely would provide additional flood-frequency information. Two sites&mdash;Duane Arnold, Iowa, on the Cedar River; and David-Besse, Ohio, on the Toussaint River&mdash;have geologic conditions suitable for creating and preserving stratigraphic records of flooding and few upstream dams that may complicate flood-frequency analysis. One site&mdash;Crystal River, Florida1, on the Withlacoochee River and only 4 kilometers from the coast&mdash;has high potential as a candidate for assessing riverine and marine inundation hazards. Several sites on the Mississippi River have high geologic potential, but upstream dams almost certainly now regulate peak flows. Nevertheless, studies on the Mississippi River to evaluate long-term flood frequency may provide results applicable to a wide spectrum of regional hazard issues. Several sites in the southeastern United States have high geologic potential, and studies at these sites also may be helpful in evaluating hazards from outburst floods from landslide dams (river blockages formed by mass movements), which may be a regional hazard. For all these sites, closer investigation and field reconnaissance would be needed to confirm suitable deposits and settings for a complete paleoflood analysis. Similar screenings may help identify high-potential sites for geologic investigations of tsunami and storm-surge hazards.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145207","collaboration":"Prepared for the Nuclear Regulatory Commission","usgsCitation":"O’Connor, J., Atwater, B.F., Cohn, T., Cronin, T.M., Keith, M., Smith, C.G., and Mason, 2014, Assessing inundation hazards to nuclear powerplant sites using geologically extended histories of riverine floods, tsunamis, and storm surges: U.S. Geological Survey Scientific Investigations Report 2014-5207, vi, 65 p., https://doi.org/10.3133/sir20145207.","productDescription":"vi, 65 p.","numberOfPages":"76","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-055027","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":296124,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145207.jpg"},{"id":296116,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5207/"},{"id":296123,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5207/pdf/sir2014-5207.pdf","size":"4.4 MB","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5467199ae4b04d4b7dbde518","contributors":{"authors":[{"text":"O’Connor, Jim oconnor@usgs.gov","contributorId":2350,"corporation":false,"usgs":true,"family":"O’Connor","given":"Jim","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":525213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwater, Brian F. 0000-0003-1155-2815 atwater@usgs.gov","orcid":"https://orcid.org/0000-0003-1155-2815","contributorId":3297,"corporation":false,"usgs":true,"family":"Atwater","given":"Brian","email":"atwater@usgs.gov","middleInitial":"F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":525214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cohn, Timothy A. tacohn@usgs.gov","contributorId":2927,"corporation":false,"usgs":true,"family":"Cohn","given":"Timothy A.","email":"tacohn@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":525215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":525216,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keith, Mackenzie K. mkeith@usgs.gov","contributorId":4140,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie K.","email":"mkeith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":525217,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":525218,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mason, Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":2090,"corporation":false,"usgs":true,"family":"Mason","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":525219,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70127634,"text":"ofr20141187 - 2014 - A ground-based magnetic survey of Frenchman Flat, Nevada National Security Site and Nevada Test and Training Range, Nevada: data release and preliminary interpretation","interactions":[],"lastModifiedDate":"2014-11-14T15:00:56","indexId":"ofr20141187","displayToPublicDate":"2014-11-14T15:45:00","publicationYear":"2014","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":"2014-1187","title":"A ground-based magnetic survey of Frenchman Flat, Nevada National Security Site and Nevada Test and Training Range, Nevada: data release and preliminary interpretation","docAbstract":"<p>The Nevada National Security Site (NNSS, formerly the Nevada Test Site) is located in southern Nevada approximately 105 kilometers (km) (65 miles) northwest of Las Vegas. Frenchman Flat is a sedimentary basin located on the eastern edge of NNSS and extending eastward into the adjacent Nevada Test and Training Range (NTTR).</p>\n<p>&nbsp;</p>\n<p>In late September 2010, the U.S. Geological Survey (USGS) conducted a ground-based magnetic survey of the northeast portion of Frenchman Flat within the NNSS and within the adjacent NTTR. The survey was designed to address two questions of importance to the siting of new monitoring wells near (down-gradient of) or within groundwater-contaminant plumes resulting from the Milk Shake and Pin Stripe underground nuclear tests:</p>\n<p>&nbsp;</p>\n<p>Question 1&mdash;What is the horizontal extent of the basalt flow (the Basalt lava flow aquifer or BLFA) encountered in three wells (UE5k, UE5i, and ER-5-3) within the alluvial section at depths ranging from 268 to 290 meters (m) (880 to 950 feet [ft]), and having a thickness between 9 and 21 m (30 and 70 ft)? Exploratory Hole UE5k is located near Emplacement Hole U5k, site of the Milk Shake underground nuclear test (U.S. Department of Energy, 2000). Characterization well ER-5-3 is located approximately 670 m (2,200 ft) west-northwest of the Milk Shake test.</p>\n<p>&nbsp;</p>\n<p>Question 2&mdash;Does basin and range normal faulting observed in the hills north of Frenchman Flat continue southward under alluvium and possibly disrupt the Topopah Spring Tuff of the Paintbrush Group (the Topopah Spring welded tuff aquifer or TSA) east of the Pin Stripe underground nuclear test, which was conducted in Emplacement hole U11b?</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141187","usgsCitation":"Phillips, J.D., Burton, B., Curry-Elrod, E., and Drellack, S., 2014, A ground-based magnetic survey of Frenchman Flat, Nevada National Security Site and Nevada Test and Training Range, Nevada: data release and preliminary interpretation: U.S. Geological Survey Open-File Report 2014-1187, Report: vi, 144 p.; 1 Plate: 36.00 x 48.00 inches; USGS-474-216: 24 p.; Downloads Directory, https://doi.org/10.3133/ofr20141187.","productDescription":"Report: vi, 144 p.; 1 Plate: 36.00 x 48.00 inches; USGS-474-216: 24 p.; Downloads Directory","numberOfPages":"150","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-033091","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":296122,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141187.jpg"},{"id":296117,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1187/"},{"id":296118,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1187/pdf/ofr2014-1187.pdf","size":"13.6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296119,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1187/pdf/Plate1.pdf","text":"Plate 1","size":"93.4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296120,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2014/1187/pdf/USGS-474-216.pdf","text":"USGS-474-216","linkFileType":{"id":1,"text":"pdf"}},{"id":296121,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1187/downloads/","text":"Downloads Directory"}],"datum":"North American Datum of 1927","country":"United States","state":"Nevada","otherGeospatial":"Frenchman Flat","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.9771728515625,\n              36.72567681977065\n            ],\n            [\n              -115.9771728515625,\n              36.85764758564407\n            ],\n            [\n              -115.7244873046875,\n              36.85764758564407\n            ],\n            [\n              -115.7244873046875,\n              36.72567681977065\n            ],\n            [\n              -115.9771728515625,\n              36.72567681977065\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54671998e4b04d4b7dbde512","contributors":{"authors":[{"text":"Phillips, Jeffrey D. 0000-0002-6459-2821 jeff@usgs.gov","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":1572,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffrey","email":"jeff@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":525224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":525225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Curry-Elrod, Erika","contributorId":83634,"corporation":false,"usgs":true,"family":"Curry-Elrod","given":"Erika","email":"","affiliations":[],"preferred":false,"id":525226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drellack, Sigmund","contributorId":121072,"corporation":false,"usgs":true,"family":"Drellack","given":"Sigmund","email":"","affiliations":[],"preferred":false,"id":525227,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70133366,"text":"70133366 - 2014 - Landsat 8 thermal infrared sensor geometric characterization and calibration","interactions":[],"lastModifiedDate":"2017-01-18T11:24:53","indexId":"70133366","displayToPublicDate":"2014-11-14T15:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat 8 thermal infrared sensor geometric characterization and calibration","docAbstract":"<p>The Landsat 8 spacecraft was launched on 11 February 2013 carrying two imaging payloads: the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS). The TIRS instrument employs a refractive telescope design that is opaque to visible wavelengths making prelaunch geometric characterization challenging. TIRS geometric calibration thus relied heavily on on-orbit measurements. Since the two Landsat 8 payloads are complementary and generate combined Level 1 data products, the TIRS geometric performance requirements emphasize the co-alignment of the OLI and TIRS instrument fields of view and the registration of the OLI reflective bands to the TIRS long-wave infrared emissive bands. The TIRS on-orbit calibration procedures include measuring the TIRS-to-OLI alignment, refining the alignment of the three TIRS sensor chips, and ensuring the alignment of the two TIRS spectral bands. The two key TIRS performance metrics are the OLI reflective to TIRS emissive band registration accuracy, and the registration accuracy between the TIRS thermal bands. The on-orbit calibration campaign conducted during the commissioning period provided an accurate TIRS geometric model that enabled TIRS Level 1 data to meet all geometric accuracy requirements. Seasonal variations in TIRS-to-OLI alignment have led to several small calibration parameter adjustments since commissioning.</p>","language":"English","publisher":"MDPI","doi":"10.3390/rs61111153","usgsCitation":"Storey, J.C., Choate, M., and Moe, D., 2014, Landsat 8 thermal infrared sensor geometric characterization and calibration: Remote Sensing, v. 6, no. 11, p. 11153-11181, https://doi.org/10.3390/rs61111153.","productDescription":"29 p.","startPage":"11153","endPage":"11181","numberOfPages":"29","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057919","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472637,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs61111153","text":"Publisher Index Page"},{"id":296114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-11-11","publicationStatus":"PW","scienceBaseUri":"5467199ce4b04d4b7dbde52a","contributors":{"authors":[{"text":"Storey, James C. 0000-0002-6664-7232 storey@usgs.gov","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":5333,"corporation":false,"usgs":true,"family":"Storey","given":"James","email":"storey@usgs.gov","middleInitial":"C.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":525033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choate, Mike 0000-0002-8101-4994 choate@usgs.gov","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":4618,"corporation":false,"usgs":true,"family":"Choate","given":"Mike","email":"choate@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":525034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moe, Donald dpmoe@usgs.gov","contributorId":127405,"corporation":false,"usgs":true,"family":"Moe","given":"Donald","email":"dpmoe@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":525035,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70133365,"text":"70133365 - 2014 - Landsat 8 operational land imager on-orbit geometric calibration and performance","interactions":[],"lastModifiedDate":"2017-01-18T11:25:22","indexId":"70133365","displayToPublicDate":"2014-11-14T15:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat 8 operational land imager on-orbit geometric calibration and performance","docAbstract":"<p>The Landsat 8 spacecraft was launched on 11 February 2013 carrying the Operational Land Imager (OLI) payload for moderate resolution imaging in the visible, near infrared (NIR), and short-wave infrared (SWIR) spectral bands. During the 90-day commissioning period following launch, several on-orbit geometric calibration activities were performed to refine the prelaunch calibration parameters. The results of these calibration activities were subsequently used to measure geometric performance characteristics in order to verify the OLI geometric requirements. Three types of geometric calibrations were performed including: (1) updating the OLI-to-spacecraft alignment knowledge; (2) refining the alignment of the sub-images from the multiple OLI sensor chips; and (3) refining the alignment of the OLI spectral bands. The aspects of geometric performance that were measured and verified included: (1) geolocation accuracy with terrain correction, but without ground control (L1Gt); (2) Level 1 product accuracy with terrain correction and ground control (L1T); (3) band-to-band registration accuracy; and (4) multi-temporal image-to-image registration accuracy. Using the results of the on-orbit calibration update, all aspects of geometric performance were shown to meet or exceed system requirements.</p>","language":"English","publisher":"MDPI","doi":"10.3390/rs61111127","usgsCitation":"Storey, J.C., Choate, M., and Lee, K., 2014, Landsat 8 operational land imager on-orbit geometric calibration and performance: Remote Sensing, v. 6, no. 11, p. 11127-11152, https://doi.org/10.3390/rs61111127.","productDescription":"26 p.","startPage":"11127","endPage":"11152","numberOfPages":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056529","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472636,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs61111127","text":"Publisher Index Page"},{"id":296113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-11-11","publicationStatus":"PW","scienceBaseUri":"5467199be4b04d4b7dbde521","contributors":{"authors":[{"text":"Storey, James C. 0000-0002-6664-7232 storey@usgs.gov","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":5333,"corporation":false,"usgs":true,"family":"Storey","given":"James","email":"storey@usgs.gov","middleInitial":"C.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":525030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choate, Mike 0000-0002-8101-4994 choate@usgs.gov","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":4618,"corporation":false,"usgs":true,"family":"Choate","given":"Mike","email":"choate@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":525031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Kenton","contributorId":127404,"corporation":false,"usgs":false,"family":"Lee","given":"Kenton","email":"","affiliations":[{"id":6944,"text":"Ball Aerospace Technologies Corporation","active":true,"usgs":false}],"preferred":false,"id":525032,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70129184,"text":"sir20145201 - 2014 - Water and nutrient budgets for Vancouver Lake, Vancouver, Washington, October 2010-October 2012","interactions":[],"lastModifiedDate":"2014-11-14T13:33:35","indexId":"sir20145201","displayToPublicDate":"2014-11-14T14:15:00","publicationYear":"2014","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":"2014-5201","title":"Water and nutrient budgets for Vancouver Lake, Vancouver, Washington, October 2010-October 2012","docAbstract":"<p>Vancouver Lake, a large shallow lake in Clark County, near Vancouver, Washington, has been undergoing water-quality problems for decades. Recently, the biggest concern for the lake are the almost annual harmful cyanobacteria blooms that cause the lake to close for recreation for several weeks each summer. Despite decades of interest in improving the water quality of the lake, fundamental information on the timing and amount of water and nutrients entering and exiting the lake is lacking. In 2010, the U.S. Geological Survey conducted a 2-year field study to quantify water flows and nutrient loads in order to develop water and nutrient budgets for the lake. This report presents monthly and annual water and nutrient budgets from October 2010&ndash;October 2012 to identify major sources and sinks of nutrients. Lake River, a tidally influenced tributary to the lake, flows into and out of the lake almost daily and composed the greatest proportion of both the water and nutrient budgets for the lake, often at orders of magnitude greater than any other source. From the water budget, we identified precipitation, evaporation and groundwater inflow as minor components of the lake hydrologic cycle, each contributing 1 percent or less to the total water budget. Nutrient budgets were compiled monthly and annually for total nitrogen, total phosphorus, and orthophosphate; and, nitrogen loads were generally an order of magnitude greater than phosphorus loads across all sources. For total nitrogen, flow from Lake River at Felida, Washington, made up 88 percent of all inputs into the lake. For total phosphorus and orthophosphate, Lake River at Felida flowing into the lake was 91 and 76 percent of total inputs, respectively. Nutrient loads from precipitation and groundwater inflow were 1 percent or less of the total budgets. Nutrient inputs from Burnt Bridge Creek and Flushing Channel composed 12 percent of the total nitrogen budget, 8 percent of the total phosphorus budget, and 21 percent of the orthophosphate budget. We identified several data gaps and areas for future research, which include the need for better understanding nutrient inputs to the lake from sediment resuspension and better quantification of indirect nutrient inputs to the lake from Salmon Creek.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145201","collaboration":"Prepared in cooperation with the Vancouver Lake Watershed Partnership and Clark County Environmental Services Division","usgsCitation":"Sheibley, R.W., Foreman, J.R., Marshall, C., and Welch, W.B., 2014, Water and nutrient budgets for Vancouver Lake, Vancouver, Washington, October 2010-October 2012: U.S. Geological Survey Scientific Investigations Report 2014-5201, Report: x, 71 p.; 1 Appendix; 3 Appendix Tables, https://doi.org/10.3133/sir20145201.","productDescription":"Report: x, 71 p.; 1 Appendix; 3 Appendix Tables","numberOfPages":"86","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-10-01","temporalEnd":"2012-10-31","ipdsId":"IP-055155","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":296108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145201.jpg"},{"id":296103,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5201/pdf/sir2014-5201.pdf","size":"5.6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296102,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5201/"},{"id":296104,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5201/pdf/sir2014-5201_appendixesa-g.pdf","text":"Appendix A-G","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296105,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5201/downloads/sir2014-5201_appendixc_tables.xlsx","text":"Appendix C Tables","size":"76 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":296106,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5201/downloads/sir2014-5201_appendixd_tables.xlsx","text":"Appendix D Tables","size":"40 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":296107,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5201/downloads/sir2014-5201_appendixg_tables.xlsx","text":"Appendix G Tables","size":"81 kB","linkFileType":{"id":3,"text":"xlsx"}}],"scale":"120000","projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Washington","city":"Vancouver","otherGeospatial":"Vancouver Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.8607940673828,\n              45.612596491396005\n            ],\n            [\n              -122.8607940673828,\n              45.83980269335617\n            ],\n            [\n              -122.6081085205078,\n              45.83980269335617\n            ],\n            [\n              -122.6081085205078,\n              45.612596491396005\n            ],\n            [\n              -122.8607940673828,\n              45.612596491396005\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5467199fe4b04d4b7dbde542","contributors":{"authors":[{"text":"Sheibley, Rich W. 0000-0003-1627-8536 sheibley@usgs.gov","orcid":"https://orcid.org/0000-0003-1627-8536","contributorId":3044,"corporation":false,"usgs":true,"family":"Sheibley","given":"Rich","email":"sheibley@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foreman, James R. 0000-0003-0535-4580 jforeman@usgs.gov","orcid":"https://orcid.org/0000-0003-0535-4580","contributorId":3669,"corporation":false,"usgs":true,"family":"Foreman","given":"James","email":"jforeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":525205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, Cameron A. marshall@usgs.gov","contributorId":5412,"corporation":false,"usgs":true,"family":"Marshall","given":"Cameron A.","email":"marshall@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":525206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Welch, Wendy B. wwelch@usgs.gov","contributorId":1645,"corporation":false,"usgs":true,"family":"Welch","given":"Wendy","email":"wwelch@usgs.gov","middleInitial":"B.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":525207,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70133433,"text":"fs20143097 - 2014 - Science to support the understanding of Ohio's water resources, 2014-15","interactions":[],"lastModifiedDate":"2014-11-14T13:08:30","indexId":"fs20143097","displayToPublicDate":"2014-11-14T14:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3097","title":"Science to support the understanding of Ohio's water resources, 2014-15","docAbstract":"<p>Ohio&rsquo;s water resources support a complex web of human activities and nature&mdash;clean and abundant water is needed for drinking, recreation, farming, and industry, as well as for fish and wildlife needs. Although rainfall in normal years can support these activities and needs, occasional floods and droughts can disrupt streamflow, groundwater, water availability, water quality, recreation, and aquatic habitats. Ohio is bordered by the Ohio River and Lake Erie; it has over 44,000 miles of streams and more than 60,000 lakes and ponds. Nearly all the rural population obtain drinking water from groundwater sources.</p>\n<p>&nbsp;</p>\n<p>The U.S. Geological Survey (USGS) works in cooperation with local, State, and other Federal agencies, as well as universities, to furnish decision makers, policy makers, USGS scientists, and the general public with reliable scientific information and tools to assist them in management, stewardship, and use of Ohio&rsquo;s natural resources. The diversity of scientific expertise among USGS personnel enables them to carry out large- and small-scale multidisciplinary studies. The USGS is unique among government organizations because it has neither regulatory nor developmental authority&mdash;its sole product is impartial, credible, relevant, and timely scientific information, equally accessible and available to everyone. The USGS Ohio Water Science Center provides reliable hydrologic and water-related ecological information to aid in the understanding of the use and management of the Nation&rsquo;s water resources, in general, and Ohio&rsquo;s water resources, in particular. This fact sheet provides an overview of current (2014) or recently completed USGS studies and data activities pertaining to water resources in Ohio. More information regarding projects of the USGS Ohio Water Science Center is available at <a href=\"http://oh.water.usgs.gov/\">http://oh.water.usgs.gov/</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143097","usgsCitation":"Shaffer, K., and Kula, S.P., 2014, Science to support the understanding of Ohio's water resources, 2014-15: U.S. Geological Survey Fact Sheet 2014-3097, 6 p., https://doi.org/10.3133/fs20143097.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2014-01-01","temporalEnd":"2015-12-31","ipdsId":"IP-057351","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":296098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143097.jpg"},{"id":296096,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3097/"},{"id":296097,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3097/pdf/fs2014-3097.pdf","size":"5.37 MB","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Ohio","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.88037109375,\n              38.36750215395045\n            ],\n            [\n              -84.88037109375,\n              41.713930073371294\n            ],\n            [\n              -80.52978515625,\n              41.713930073371294\n            ],\n            [\n              -80.52978515625,\n              38.36750215395045\n            ],\n            [\n              -84.88037109375,\n              38.36750215395045\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5467199de4b04d4b7dbde534","contributors":{"authors":[{"text":"Shaffer, Kimberly kshaffer@usgs.gov","contributorId":1589,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly","email":"kshaffer@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kula, Stephanie P. spkula@usgs.gov","contributorId":4666,"corporation":false,"usgs":true,"family":"Kula","given":"Stephanie","email":"spkula@usgs.gov","middleInitial":"P.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525202,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70125378,"text":"sir20145178 - 2014 - Stream-water and groundwater quality in and near the Citizen Potawatomi Nation Tribal Jurisdictional Area, Pottawatomie County, Oklahoma, 2012-13","interactions":[],"lastModifiedDate":"2014-11-14T13:18:15","indexId":"sir20145178","displayToPublicDate":"2014-11-14T13:00:00","publicationYear":"2014","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":"2014-5178","title":"Stream-water and groundwater quality in and near the Citizen Potawatomi Nation Tribal Jurisdictional Area, Pottawatomie County, Oklahoma, 2012-13","docAbstract":"<p>The Citizen Potawatomi Nation needs to characterize their existing surface-water and groundwater resources in and near their tribal jurisdictional area to complete a water-resource management plan. Water resources in this area include surface water from the North Canadian and Little Rivers and groundwater from the terrace and alluvial aquifers and underlying bedrock aquifers. To assist in this effort, the U.S. Geological Survey (USGS), in cooperation with the Citizen Potawatomi Nation, collected water-quality samples at 4 sites on 3 streams and from 30 wells during 2012 and 2013 in and near the Citizen Potawatomi Nation Tribal Jurisdictional Area in central Oklahoma. Stream samples were collected eight times on the North Canadian River at the upstream USGS streamflow-gaging station North Canadian River near Harrah, Okla. (07241550); at the downstream USGS streamflow-gaging station North Canadian River at Shawnee, Okla. (07241800); and on the Little River at the USGS streamflow-gaging station Little River near Tecumseh, Okla., (07230500). Stream samples also were collected three times at an ungaged site, Deer Creek near McLoud, Okla. (07241590). Water properties were measured, and water samples were analyzed for concentrations of major ions, nutrients, trace elements, counts of fecal-indicator bacteria, and 69 organic compounds.</p>\n<p>&nbsp;</p>\n<p>The highest concentrations of dissolved solids and chlorides were measured in stream-water samples collected at the Little River near Tecumseh station. The Secondary Maximum Contaminant Level (SMCL) for dissolved solids in drinking water of 500 milligrams per liter (mg/L) was exceeded in 7 of 8 stream-water samples, with a median concentration of 844 mg/L at that station. The 250-mg/L SMCL for chloride was exceeded in 5 of the 8 stream-water samples collected at that station.</p>\n<p>&nbsp;</p>\n<p>Median concentrations of total dissolved nitrogen were about an order of magnitude higher in stream-water samples collected at the two stations on the North Canadian River than concentrations in stream-water samples collected at the Little River near Tecumseh station and the Deer Creek site. Median concentrations of total dissolved nitrogen were 4.36 and 2.89 mg/L in stream-water samples collected at the two North Canadian River stations, 0.35 mg/L in stream-water samples collected at the Little River near Tecumseh station, and 0.76 mg/L in stream-water samples collected at the Deer Creek site.</p>\n<p>&nbsp;</p>\n<p>Similar to nitrogen, median concentrations of total dissolved phosphorus were higher by about two orders of magnitude in stream-water samples collected at the two stations on the North Canadian River than concentrations in stream-water samples collected at the Little River near Tecumseh station and the Deer Creek site. Median concentrations of total dissolved phosphorus were 1.05 and 0.805 mg/L in stream-water samples collected at the two North Canadian River stations, 0.007 mg/L in stream-water samples collected at the Little River near Tecumseh station, and 0.032 mg/L from the Deer Creek site. Dissolved concentrations of total nitrogen, nitrate-nitrogen, orthophosphorus, and total phosphorus were highest in stream-water samples collected at the two North Canadian River stations at low streamflows, indicating that wastewater effluent may have been a notable source of these nutrients.</p>\n<p>&nbsp;</p>\n<p>Concentrations of most trace elements increased with increasing streamflow in stream-water samples collected at the two North Canadian River stations, indicating that most trace elements are washed into the river by runoff from the land surface or resuspended from streambed sediments. In general, most trace-element concentrations were below respective Maximum Contaminant Levels (MCLs) for public drinking-water supplies, except for one stream-water sample with an arsenic concentration of 10.1 micrograms per liter (&micro;g/L) collected from the North Canadian River and one stream-water sample with a barium concentration of 2,690 &micro;g/L collected from the Little River. At least one stream-water sample from each of the four stream sites sampled in this study contained a lead concentration exceeding the SMCL of 15 &micro;g/L. All of these samples were collected during high streamflows.</p>\n<p>&nbsp;</p>\n<p>A greater number of organic compounds were detected in stream-water samples collected at the two stations on the North Canadian River than in stream-water samples collected at the Tecumseh station and Deer Creek site. In the 8 stream-water samples collected at the upstream Harrah station, 213 detections of organic compounds were measured, whereas in 8 samples collected at the downstream Shawnee station, 203 detections of organic compounds were measured. In contrast, 59 detections of organic compounds were measured in the 8 stream-water samples collected at the Tecumseh station, and 25 detections of organic compounds were measured in the 3 stream-water samples collected at the Deer Creek site; however, the 8 detections of 7 organic compounds in the 2 equipment-blank samples is problematic for evaluating these data, especially for the Deer Creek and Little River samples because of the comparatively low detection frequency and should be taken into consideration when evaluating these results.</p>\n<p>&nbsp;</p>\n<p>Groundwater samples also were collected once from 30 wells producing water from the Garber-Wellington aquifer; Admire, Chase, and Council Grove Groups; the Vanoss Formation; and the terrace and alluvial aquifers along the North Canadian River. Water properties were measured, and samples were analyzed for concentrations of major ions, nutrients, trace elements, and selected radionuclides in groundwater. Of 30 wells sampled for this study, 26 were completed in bedrock aquifers, and 4 were completed in terrace and alluvial aquifers. In general, groundwater in the study area is very hard, with a median concentration of 180 mg/L as calcium carbonate in water samples collected from the 30 wells. Concentrations of sulfate exceeded the 250-mg/L SMCL in two groundwater samples, and dissolved solids concentrations exceeded the 500-mg/L SMCL in nine groundwater samples. Trace-element concentrations did not exceed respective MCLs in the 30 groundwater samples collected for this study.</p>\n<p>&nbsp;</p>\n<p>Concentrations of the radionuclide uranium ranged from 0.03 to 79.5 &micro;g/L, with a median concentration of 1.9 &micro;g/L in the 30 groundwater samples collected. Two of the groundwater samples collected for this study had uranium concentrations exceeding the MCL of 30 &micro;g/L, with concentrations of 79.5 and 31.1 &micro;g/L. Generally, uranium concentrations were highest in water samples collected from wells completed in the Wellington Formation and the Chase, Council Grove, and Admire Groups in the southern and eastern parts of the study area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145178","collaboration":"Prepared in cooperation with the Citizen Potawatomi Nation","usgsCitation":"Becker, C., 2014, Stream-water and groundwater quality in and near the Citizen Potawatomi Nation Tribal Jurisdictional Area, Pottawatomie County, Oklahoma, 2012-13: U.S. Geological Survey Scientific Investigations Report 2014-5178, viii, 102 p., https://doi.org/10.3133/sir20145178.","productDescription":"viii, 102 p.","numberOfPages":"114","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055762","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":296101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145178.jpg"},{"id":296100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5178/pdf/sir2014-5178.pdf","size":"4.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":296099,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5178/"}],"projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Oklahoma","county":"Pottawatomie County","otherGeospatial":"Little River, North Canadian River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.27157592773438,\n              34.88593094075317\n            ],\n            [\n              -97.27157592773438,\n              35.561277754384555\n            ],\n            [\n              -96.77169799804686,\n              35.561277754384555\n            ],\n            [\n              -96.77169799804686,\n              34.88593094075317\n            ],\n            [\n              -97.27157592773438,\n              34.88593094075317\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5467199fe4b04d4b7dbde53c","contributors":{"authors":[{"text":"Becker, Carol 0000-0001-6652-4542 cjbecker@usgs.gov","orcid":"https://orcid.org/0000-0001-6652-4542","contributorId":2489,"corporation":false,"usgs":true,"family":"Becker","given":"Carol","email":"cjbecker@usgs.gov","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525204,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70143057,"text":"70143057 - 2014 - Coseismic landslides reveal near-surface rock strength in a high-relief tectonically active setting","interactions":[],"lastModifiedDate":"2015-03-17T10:58:58","indexId":"70143057","displayToPublicDate":"2014-11-14T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Coseismic landslides reveal near-surface rock strength in a high-relief tectonically active setting","docAbstract":"<p>We present quantitative estimates of near-surface rock strength relevant to landscape evolution and landslide hazard assessment for 15 geologic map units of the Longmen Shan, China. Strength estimates are derived from a novel method that inverts earthquake peak ground acceleration models and coseismic landslide inventories to obtain material proper- ties and landslide thickness. Aggregate rock strength is determined by prescribing a friction angle of 30&deg; and solving for effective cohesion. Effective cohesion ranges are from 70 kPa to 107 kPa for 15 geologic map units, and are approximately an order of magnitude less than typical laboratory measurements, probably because laboratory tests on hand-sized specimens do not incorporate the effects of heterogeneity and fracturing that likely control near-surface strength at the hillslope scale. We find that strength among the geologic map units studied varies by less than a factor of two. However, increased weakening of units with proximity to the range front, where precipitation and active fault density are the greatest, suggests that cli- matic and tectonic factors overwhelm lithologic differences in rock strength in this high-relief tectonically active setting.</p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/G36080.1","collaboration":"University of Michigan","usgsCitation":"Gallen, S.F., Clark, M., and Godt, J.W., 2014, Coseismic landslides reveal near-surface rock strength in a high-relief tectonically active setting: Geology, v. 43, no. 1, p. 11-14, https://doi.org/10.1130/G36080.1.","productDescription":"4 p.","startPage":"11","endPage":"14","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060313","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":472638,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g36080.1","text":"Publisher Index Page"},{"id":298617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298588,"type":{"id":15,"text":"Index Page"},"url":"https://geology.gsapubs.org/content/43/1/11.short"}],"volume":"43","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-14","publicationStatus":"PW","scienceBaseUri":"5509502ae4b02e76d757e60c","contributors":{"authors":[{"text":"Gallen, Sean F.","contributorId":139683,"corporation":false,"usgs":false,"family":"Gallen","given":"Sean","email":"","middleInitial":"F.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":542450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Marin K.","contributorId":139684,"corporation":false,"usgs":false,"family":"Clark","given":"Marin K.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":542451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":542449,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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