{"pageNumber":"600","pageRowStart":"14975","pageSize":"25","recordCount":68919,"records":[{"id":70048084,"text":"sir20135143 - 2013 - Distribution of indoor radon concentrations in Pennsylvania, 1990-2007","interactions":[],"lastModifiedDate":"2016-08-10T21:18:13","indexId":"sir20135143","displayToPublicDate":"2013-09-09T14:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5143","title":"Distribution of indoor radon concentrations in Pennsylvania, 1990-2007","docAbstract":"<p>Results from 548,507 indoor radon tests from a database compiled by the Pennsylvania Department of Environmental Protection, Bureau of Radiation Protection, Radon Division, are evaluated in this report in an effort to determine areas where concentrations of radon are highest. Indoor radon concentrations were aggregated according to geologic unit and hydrogeologic setting for spatial analysis. Indoor radon concentrations greater than or equal to the U.S. Environmental Protection Agency (USEPA) action level of 4&nbsp;picocuries per liter (pCi/L) were observed for 39 percent of the test results; the highest concentration was&nbsp;1,866.4&nbsp;pCi/L.</p>\n<p>When analyzed according to Pennsylvania&rsquo;s geologic units, 93 of the&nbsp;188 (49.5&nbsp;percent) geologic units with indoor radon concentrations had median concentrations greater than the USEPA action level of 4&nbsp;pCi/L; most of these geologic units are located in the eastern part of the State and include metamorphic rocks, limestones, sandstones, shales, and glacial deposits. When analyzed according to Pennsylvania&rsquo;s hydrogeologic settings, 5 of the&nbsp;20 (25&nbsp;percent) settings had median indoor radon concentrations greater than the USEPA action level of 4&nbsp;pCi/L; these settings are located mostly in the south-central part of the&nbsp;State.</p>\n<p>Median indoor radon concentrations aggregated according to geologic units and hydrogeologic settings are useful for drawing general conclusions about the occurrence of indoor radon in specific geologic units and hydrogeologic settings, but the associated data and maps have limitations. The aggregated indoor radon data have testing and spatial accuracy limitations due to lack of available information regarding testing conditions and the imprecision of geocoded test locations. In addition, the associated data describing geologic units and hydrogeologic settings have spatial and interpretation accuracy limitations, which are a result of using statewide data to define conditions at test locations and geologic data that represent a broad interpretation of geologic units across the State. As a result, indoor air radon concentration distributions are not proposed for use in predicting individual concentrations at specific sites nor for use as a decision-making tool for property owners to decide whether to test for indoor radon concentrations at specific property&nbsp;locations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135143","usgsCitation":"Gross, E.L., 2013, Distribution of indoor radon concentrations in Pennsylvania, 1990-2007: U.S. Geological Survey Scientific Investigations Report 2013-5143, Report: viii, 31 p.; PARnGeo: Zip file; PARnHydroGeo: Zip file, https://doi.org/10.3133/sir20135143.","productDescription":"Report: viii, 31 p.; PARnGeo: Zip file; PARnHydroGeo: Zip file","numberOfPages":"43","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1990-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":277434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135143.png"},{"id":277433,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5143/"},{"id":277432,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5143/pdf/sir2013-5143.pdf","text":"Report","size":"16.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"scale":"100000","projection":"Albers Equal-Area Conic","country":"United 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,{"id":70048051,"text":"ofr20131185 - 2013 - Internet-based Modeling, Mapping, and Analysis for the Greater Everglades (IMMAGE; Version 1.0): web-based tools to assess the impact of sea level rise in south Florida","interactions":[],"lastModifiedDate":"2013-10-30T12:59:37","indexId":"ofr20131185","displayToPublicDate":"2013-09-06T14:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1185","title":"Internet-based Modeling, Mapping, and Analysis for the Greater Everglades (IMMAGE; Version 1.0): web-based tools to assess the impact of sea level rise in south Florida","docAbstract":"South Florida's Greater Everglades area is particularly vulnerable to sea level rise, due to its rich endowment of animal and plant species and its heavily populated urban areas along the coast. Rising sea levels are expected to have substantial impacts on inland flooding, the depth and extent of surge from coastal storms, the degradation of water supplies by saltwater intrusion, and the integrity of plant and animal habitats. Planners and managers responsible for mitigating these impacts require advanced tools to help them more effectively identify areas at risk. The U.S. Geological Survey's (USGS) Internet-based Modeling, Mapping, and Analysis for the Greater Everglades (IMMAGE) Web site has been developed to address these needs by providing more convenient access to projections from models that forecast the effects of sea level rise on surface water and groundwater, the extent of surge and resulting economic losses from coastal storms, and the distribution of habitats. IMMAGE not only provides an advanced geographic information system (GIS) interface to support decision making, but also includes topic-based modules that explain and illustrate key concepts for nontechnical users. The purpose of this report is to familiarize both technical and nontechnical users with the IMMAGE Web site and its various applications.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131185","usgsCitation":"Hearn, P., Strong, D., Swain, E., and Decker, J., 2013, Internet-based Modeling, Mapping, and Analysis for the Greater Everglades (IMMAGE; Version 1.0): web-based tools to assess the impact of sea level rise in south Florida: U.S. Geological Survey Open-File Report 2013-1185, v, 17 p., https://doi.org/10.3133/ofr20131185.","productDescription":"v, 17 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":277408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131185.gif"},{"id":277406,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1185/"},{"id":277407,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1185/pdf/of2013-1185.pdf"}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.6721,24.2069 ], [ -82.6721,27.2644 ], [ -79.541,27.2644 ], [ -79.541,24.2069 ], [ -82.6721,24.2069 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522aeb69e4b08fd0132e7945","contributors":{"authors":[{"text":"Hearn, Paul","contributorId":28702,"corporation":false,"usgs":true,"family":"Hearn","given":"Paul","affiliations":[],"preferred":false,"id":483667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strong, David","contributorId":101767,"corporation":false,"usgs":true,"family":"Strong","given":"David","affiliations":[],"preferred":false,"id":483669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swain, Eric 0000-0001-7168-708X","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":23347,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","affiliations":[],"preferred":false,"id":483666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Decker, Jeremy","contributorId":99662,"corporation":false,"usgs":true,"family":"Decker","given":"Jeremy","affiliations":[],"preferred":false,"id":483668,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048045,"text":"sir20135033 - 2013 - Analytical properties of some commercially available nitrate reductase enzymes evaluated as replacements for cadmium in automated, semiautomated, and manual colorimetric methods for determination of nitrate plus nitrite in water","interactions":[],"lastModifiedDate":"2013-09-06T13:33:45","indexId":"sir20135033","displayToPublicDate":"2013-09-06T13:24:15","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5033","title":"Analytical properties of some commercially available nitrate reductase enzymes evaluated as replacements for cadmium in automated, semiautomated, and manual colorimetric methods for determination of nitrate plus nitrite in water","docAbstract":"A multiyear research effort at the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) evaluated several commercially available nitrate reductase (NaR) enzymes as replacements for toxic cadmium in longstanding automated colorimetric air-segmented continuous-flow analyzer (CFA) methods for determining nitrate plus nitrite (NO<sub>x</sub>) in water. This research culminated in USGS approved standard- and low-level enzymatic reduction, colorimetric automated discrete analyzer NO<sub>x</sub> methods that have been in routine operation at the NWQL since October 2011. The enzyme used in these methods (AtNaR2) is a product of recombinant expression of NaR from Arabidopsis thaliana (L.) Heynh. (mouseear cress) in the yeast Pichia pastoris. Because the scope of the validation report for these new automated discrete analyzer methods, published as U.S. Geological Survey Techniques and Methods 5–B8, was limited to performance benchmarks and operational details, extensive foundational research with different enzymes—primarily YNaR1, a product of recombinant expression of NaR from Pichia angusta in the yeast Pichia pastoris—remained unpublished until now. This report documents research and development at the NWQL that was foundational to development and validation of the discrete analyzer methods. It includes: (1) details of instrumentation used to acquire kinetics data for several NaR enzymes in the presence and absence of known or suspected inhibitors in relation to reaction temperature and reaction pH; and (2) validation results—method detection limits, precision and bias estimates, spike recoveries, and interference studies—for standard- and low-level automated colorimetric CFA-YNaR1 reduction NO<sub>x</sub> methods in relation to corresponding USGS approved CFA cadmium-reduction (CdR) NO<sub>x</sub> methods. The cornerstone of this validation is paired sample statistical and graphical analysis of NOx concentrations from more than 3,800 geographically and seasonally diverse surface-water and groundwater samples that were analyzed in parallel by CFA-CdR and CFA enzyme-reduction methods. Finally, (3) demonstration of a semiautomated batch procedure in which 2-milliliter analyzer cups or disposable spectrophotometer cuvettes serve as reaction vessels for enzymatic reduction of nitrate to nitrite prior to analytical determinations. After the reduction step, analyzer cups are loaded onto CFA, flow injection, or discrete analyzers for simple, rapid, automatic nitrite determinations. In the case of manual determinations, analysts dispense colorimetric reagents into cuvettes containing post-reduction samples, allow time for color to develop, insert cuvettes individually into a spectrophotometer, and record percent transmittance or absorbance in relation to a reagent blank. Data presented here demonstrate equivalent analytical performance of enzymatic reduction NO<sub>x</sub> methods in these various formats to that of benchmark CFA-CdR NO<sub>x</sub> methods.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135033","collaboration":"Prepared by the U.S. Geological Survey Office of Water Quality, National Water Quality Laboratory","usgsCitation":"Patton, C.J., and Kryskalla, J.R., 2013, Analytical properties of some commercially available nitrate reductase enzymes evaluated as replacements for cadmium in automated, semiautomated, and manual colorimetric methods for determination of nitrate plus nitrite in water: U.S. Geological Survey Scientific Investigations Report 2013-5033, vii, 36 p., https://doi.org/10.3133/sir20135033.","productDescription":"vii, 36 p.","numberOfPages":"48","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":277398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135033.gif"},{"id":277396,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5033/"},{"id":277397,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5033/pdf/sir2013-5033.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522aeb63e4b08fd0132e7919","contributors":{"authors":[{"text":"Patton, Charles J. cjpatton@usgs.gov","contributorId":809,"corporation":false,"usgs":true,"family":"Patton","given":"Charles","email":"cjpatton@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":483660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kryskalla, Jennifer R.","contributorId":91563,"corporation":false,"usgs":true,"family":"Kryskalla","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":483661,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048038,"text":"ds790 - 2013 - Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2012","interactions":[],"lastModifiedDate":"2021-08-26T14:11:46.981208","indexId":"ds790","displayToPublicDate":"2013-09-06T12:54:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"790","displayTitle":"Water-Level Data for the Albuquerque Basin and Adjacent Areas, Central New Mexico, Period of Record Through September 30, 2012","title":"Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2012","docAbstract":"<p>The Albuquerque Basin, located in central New Mexico, is about 100 miles long and 25–40 miles wide. The basin is defined as the extent of consolidated and unconsolidated deposits of Tertiary and Quaternary age that encompasses the structural Rio Grande Rift within the basin. Drinking-water supplies throughout the basin were obtained solely from groundwater resources until December 2008, when surface water from the Rio Grande began being treated and integrated into the system. A population increase of about 20 percent in the basin from 1990 to 2000 and a 22 percent increase from 2000 to 2010 resulted in an increased demand for water. An initial network of wells was established by the U.S. Geological Survey (USGS) in cooperation with the City of Albuquerque from April 1982 through September 1983 to monitor changes in groundwater levels throughout the basin. This network consisted of 6 wells with analog-to-digital recorders and 27 wells where water levels were measured monthly in 1983. Currently (2012), the network consists of 126 wells and piezometers. (A piezometer is a specialized well open to a specific depth in the aquifer, often of small diameter and nested with other piezometers open to different depths.) The USGS, in cooperation with the Albuquerque Bernalillo County Water Utility Authority (ABCWUA), currently (2012) measures and reports water levels from the 126 wells and piezometers in the network; this report presents water-level data collected by USGS personnel at those 126 sites through water year 2012.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds790","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Beman, J.E., 2013, Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2012 (Version 1.1: August 2021): U.S. Geological Survey Data Series 790, iii, 32 p., https://doi.org/10.3133/ds790.","productDescription":"iii, 32 p.","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":388195,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/790/coverthb2.jpg"},{"id":388196,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/790/ds790.pdf","text":"Report","size":"4.68 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 790"},{"id":388197,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/790/versionHist.txt","text":"Version History","size":"536 B","linkFileType":{"id":2,"text":"txt"},"description":"DS 790 Version History"}],"country":"United States","state":"New Mexico","otherGeospatial":"Albuquerque Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.5255,33.9989 ], [ -107.5255,35.9976 ], [ -105.9864,35.9976 ], [ -105.9864,33.9989 ], [ -107.5255,33.9989 ] ] ] } } ] }","edition":"Version 1.1: August 2021","contact":"<p><a data-mce-href=\"mailto:%20dc_nm@usgs.gov\" href=\"mailto:%20dc_nm@usgs.gov\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/centers/nm-water\" href=\"https://www.usgs.gov/centers/nm-water\">New Mexico Water Science Center</a><br>U.S. Geological Survey<br>6700 Edith Blvd. NE<br>Albuquerque, NM 87113<br></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Water-Level Data</li><li>References Cited</li><li>Water-Level Data for Selected Wells and Piezometers in the Albuquerque Basin</li></ul>","revisedDate":"2021-08-25","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522aeb6be4b08fd0132e7961","contributors":{"authors":[{"text":"Beman, Joseph E. 0000-0002-0689-029X jebeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-029X","contributorId":2619,"corporation":false,"usgs":true,"family":"Beman","given":"Joseph","email":"jebeman@usgs.gov","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483636,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048035,"text":"70048035 - 2013 - A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: using point and gridded FLUXNET and water balance ET","interactions":[],"lastModifiedDate":"2013-09-06T12:47:19","indexId":"70048035","displayToPublicDate":"2013-09-06T12:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: using point and gridded FLUXNET and water balance ET","docAbstract":"Remote sensing datasets are increasingly being used to provide spatially explicit large scale evapotranspiration (ET) estimates. Extensive evaluation of such large scale estimates is necessary before they can be used in various applications. In this study, two monthly MODIS 1 km ET products, MODIS global ET (MOD16) and Operational Simplified Surface Energy Balance (SSEBop) ET, are validated over the conterminous United States at both point and basin scales. Point scale validation was performed using eddy covariance FLUXNET ET (FLET) data (2001–2007) aggregated by year, land cover, elevation and climate zone. Basin scale validation was performed using annual gridded FLUXNET ET (GFET) and annual basin water balance ET (WBET) data aggregated by various hydrologic unit code (HUC) levels. Point scale validation using monthly data aggregated by years revealed that the MOD16 ET and SSEBop ET products showed overall comparable annual accuracies. For most land cover types, both ET products showed comparable results. However, SSEBop showed higher performance for Grassland and Forest classes; MOD16 showed improved performance in the Woody Savanna class. Accuracy of both the ET products was also found to be comparable over different climate zones. However, SSEBop data showed higher skill score across the climate zones covering the western United States. Validation results at different HUC levels over 2000–2011 using GFET as a reference indicate higher accuracies for MOD16 ET data. MOD16, SSEBop and GFET data were validated against WBET (2000–2009), and results indicate that both MOD16 and SSEBop ET matched the accuracies of the global GFET dataset at different HUC levels. Our results indicate that both MODIS ET products effectively reproduced basin scale ET response (up to 25% uncertainty) compared to CONUS-wide point-based ET response (up to 50–60% uncertainty) illustrating the reliability of MODIS ET products for basin-scale ET estimation. Results from this research would guide the additional parameter refinement required for the MOD16 and SSEBop algorithms in order to further improve their accuracy and performance for agro-hydrologic applications.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2013.07.013","usgsCitation":"Velpuri, N.M., Senay, G., Singh, R.K., Bohms, S., and Verdin, J.P., 2013, A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: using point and gridded FLUXNET and water balance ET: Remote Sensing of Environment, v. 139, p. 35-49, https://doi.org/10.1016/j.rse.2013.07.013.","productDescription":"15 p.","startPage":"35","endPage":"49","numberOfPages":"15","ipdsId":"IP-046110","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":277386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277383,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2013.07.013"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"139","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522aeb52e4b08fd0132e7911","contributors":{"authors":[{"text":"Velpuri, Naga M. 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":96183,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":483634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":66808,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel B.","affiliations":[],"preferred":false,"id":483633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Singh, Ramesh K. 0000-0002-8164-3483 rsingh@usgs.gov","orcid":"https://orcid.org/0000-0002-8164-3483","contributorId":3895,"corporation":false,"usgs":true,"family":"Singh","given":"Ramesh","email":"rsingh@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":483632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohms, Stefanie 0000-0002-2979-4655 sbohms@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":3148,"corporation":false,"usgs":true,"family":"Bohms","given":"Stefanie","email":"sbohms@usgs.gov","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":483631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":483630,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042413,"text":"70042413 - 2013 - Coastal flood inundation monitoring with Satellite C-band and L-band Synthetic Aperture Radar data","interactions":[],"lastModifiedDate":"2013-12-09T13:20:26","indexId":"70042413","displayToPublicDate":"2013-09-06T11:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Coastal flood inundation monitoring with Satellite C-band and L-band Synthetic Aperture Radar data","docAbstract":"Satellite Synthetic Aperture Radar (SAR) was evaluated as a method to operationally monitor the occurrence and distribution of storm- and tidal-related flooding of spatially extensive coastal marshes within the north-central Gulf of Mexico. Maps representing the occurrence of marsh surface inundation were created from available Advanced Land Observation Satellite (ALOS) Phased Array type L-Band SAR (PALSAR) (L-band) (21 scenes with HH polarizations in Wide Beam [100 m]) data and Environmental Satellite (ENVISAT) Advanced SAR (ASAR) (C-band) data (24 scenes with VV and HH polarizations in Wide Swath [150 m]) during 2006-2009 covering 500 km of the Louisiana coastal zone. Mapping was primarily based on a decrease in backscatter between reference and target scenes, and as an extension of previous studies, the flood inundation mapping performance was assessed by the degree of correspondence between inundation mapping and inland water levels. Both PALSAR- and ASAR-based mapping at times were based on suboptimal reference scenes; however, ASAR performance seemed more sensitive to reference-scene quality and other types of scene variability. Related to water depth, PALSAR and ASAR mapping accuracies tended to be lower when water depths were shallow and increased as water levels decreased below or increased above the ground surface, but this pattern was more pronounced with ASAR. Overall, PALSAR-based inundation accuracies averaged 84% (n = 160), while ASAR-based mapping accuracies averaged 62% (n = 245).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jawr.12082","usgsCitation":"Ramsey, E., Rangoonwala, A., and Bannister, T., 2013, Coastal flood inundation monitoring with Satellite C-band and L-band Synthetic Aperture Radar data: Journal of the American Water Resources Association, v. 49, no. 6, p. 1239-1260, https://doi.org/10.1111/jawr.12082.","productDescription":"22 p.","startPage":"1239","endPage":"1260","numberOfPages":"22","ipdsId":"IP-032930","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":473549,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jawr.12082","text":"Publisher Index Page"},{"id":277384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277381,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12082"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,30.668 ], [ -88.8162,30.668 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","volume":"49","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-06-24","publicationStatus":"PW","scienceBaseUri":"522aeb65e4b08fd0132e7921","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":72769,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah W.","suffix":"III","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":471493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rangoonwala, Amina 0000-0002-0556-0598 rangoonwalaa@usgs.gov","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":3455,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","email":"rangoonwalaa@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":471492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bannister, Terri","contributorId":82836,"corporation":false,"usgs":true,"family":"Bannister","given":"Terri","email":"","affiliations":[],"preferred":false,"id":471494,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046999,"text":"70046999 - 2013 - Scenarios of bioenergy development impacts on regional groundwater withdrawals","interactions":[],"lastModifiedDate":"2013-09-06T11:11:51","indexId":"70046999","displayToPublicDate":"2013-09-06T11:17:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Scenarios of bioenergy development impacts on regional groundwater withdrawals","docAbstract":"Irrigation increases agricultural productivity, but it also stresses water resources (Huffaker and Hamilton 2007). Drought and the potential for drier conditions resulting from climate change could strain water supplies in landscapes where human populations rely on finite groundwater resources for drinking, agriculture, energy, and industry (IPCC 2007). For instance, in the North American Great Plains, rowcrops are utilized for livestock feed, food, and bioenergy production (Cassman and Liska 2007), and a large portion is irrigated with groundwater from the High Plains aquifer system (McGuire 2011). Under projected future climatic conditions, greater crop water use requirements and diminished groundwater recharge rates could make rowcrop irrigation less feasible in some areas (Rosenberg et al. 1999; Sophocleous 2005). The Rainwater Basin region of south central Nebraska, United States, is an intensively farmed and irrigated Great Plains landscape dominated by corn (Zea mays L.) and soybean (Glycine max L.) production (Bishop and Vrtiska 2008). Ten starch-based ethanol plants currently service the region, producing ethanol from corn grain (figure 1). In this study, we explore the potential of switchgrass (Panicum virgatum L.), a drought-tolerant alternative bioenergy feedstock, to impact regional annual groundwater withdrawals for irrigation under warmer and drier future conditions. Although our research context is specific to the Rainwater Basin and surrounding North American Great Plains, we believe the broader research question is internationally pertinent and hope that this study simulates similar research in other areas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Soil and Water Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Soil and Water Conservation Society","doi":"10.2489/jswc.68.5.124A","usgsCitation":"Uden, D.R., Allen, C.R., Mitchell, R.B., Guan, Q., and McCoy, T.D., 2013, Scenarios of bioenergy development impacts on regional groundwater withdrawals: Journal of Soil and Water Conservation, v. 68, no. 5, p. 124A-128A, https://doi.org/10.2489/jswc.68.5.124A.","productDescription":"5 p.","startPage":"124A","endPage":"128A","numberOfPages":"5","ipdsId":"IP-049228","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473551,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2489/jswc.68.5.124a","text":"Publisher Index Page"},{"id":277371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277370,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2489/jswc.68.5.124A"}],"country":"United States","state":"Nebraska","otherGeospatial":"Rainwater Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.6478,39.9999 ], [ -100.6478,42.1686 ], [ -95.8906,42.1686 ], [ -95.8906,39.9999 ], [ -100.6478,39.9999 ] ] ] } } ] }","volume":"68","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-08-23","publicationStatus":"PW","scienceBaseUri":"522aeb6ae4b08fd0132e7959","contributors":{"authors":[{"text":"Uden, Daniel R.","contributorId":74258,"corporation":false,"usgs":true,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":480830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":480829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Rob B.","contributorId":100715,"corporation":false,"usgs":true,"family":"Mitchell","given":"Rob","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":480833,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guan, Qingfeng","contributorId":85067,"corporation":false,"usgs":true,"family":"Guan","given":"Qingfeng","email":"","affiliations":[],"preferred":false,"id":480831,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCoy, Tim D.","contributorId":86669,"corporation":false,"usgs":true,"family":"McCoy","given":"Tim","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":480832,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046611,"text":"70046611 - 2013 - Brine intrusion by upconing for a high-level nuclear waste repository at Forsmark: Scoping calculations","interactions":[],"lastModifiedDate":"2022-03-23T16:15:37.688752","indexId":"70046611","displayToPublicDate":"2013-09-06T11:06:23","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"2013:28","title":"Brine intrusion by upconing for a high-level nuclear waste repository at Forsmark: Scoping calculations","docAbstract":"<p>SSM currently reviews a license application for a spent nuclear fuel repository that is proposed to be located at Forsmark, Sweden. The repository is to be situated&nbsp; at 500 m depth in the rock and copper canisters are deposited in holes excavated from the tunnel system. To protect the canisters they are surrounded by a bentonite clay buffer, which is to swell when getting in contact with water. The swelling properties are dependent on the salt content of the water and excessively high salt contents may inhibit the swelling. Thus it is important to ensure that the bentonite is not subjected to water with too high salt contents. The salt content of the groundwater increases with depth and is expected to reach levels that may affect buffer performance at large depths. When excavating the repository very high hydraulic gradients are established and water and salt movement from the depth to the repository, so-called ‘upconing’, could possibly occur.</p><p>The objective of this study is to evaluate the possibility of salt-water migration to the repository. This objective is motivated by the adverse impacts of water with too high salinity entering the repository and by the uncertainty of the relevant hydraulic and hydrogeochemical conditions at the Forsmark site at great depths. To analyse density dependent flow and salt transport at the Forsmark site the USGS’ SUTRA code is used.&nbsp; This study proceeds by finding critical model cases for which upconing does or does not occur, while assessing whether the parameterizations of these cases are realistic for the Forsmark site. In addition, the fall of the upconed salt mound (i.e. downconing) following closure of the repository is also evaluated. In particular the objectives are (1) to determine the factors that control saltwater upconing in a hydrogeological setting representative of Forsmark; (2) to relate these factors to the plausible conditions prevailing at the repository site; (3) to investigate whether the proposed repository is likely to generate saltwater upconing, given the range of uncertainty in hydrogeologic structure and parameter values; and (4) to evaluate the timing of upconing (salinization) and the timing of downconing (freshening) following repository closure for cases where upconing occurs.</p><p>The results of this simulation analysis show that upconing behavior is strongly affected by the ratio of permeability to porosity in any zone in which upconing might occur. Within the full range of parameters that are likely to occur at the Forsmark site, the model yields either no significant upconing at all during the operational period of the repository or intrusion of brine-type waters after only one to a few decades.</p>","language":"English","publisher":"Swedish Radiation Safety Authority","publisherLocation":"Stockholm, Sweden","usgsCitation":"Voss, C.I., Geier, J., and Lindgren, G., 2013, Brine intrusion by upconing for a high-level nuclear waste repository at Forsmark: Scoping calculations, 56 p.","productDescription":"56 p.","ipdsId":"IP-046424","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":397467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":397466,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.stralsakerhetsmyndigheten.se/en/publications/reports/waste-shipments-physical-protection/2013/201328/"}],"country":"Sweden","city":"Forsmark","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              18.143577575683594,\n              60.368031413794576\n            ],\n            [\n              18.165464401245117,\n              60.368031413794576\n            ],\n            [\n              18.165464401245117,\n              60.374290270786524\n            ],\n            [\n              18.143577575683594,\n              60.374290270786524\n            ],\n            [\n              18.143577575683594,\n              60.368031413794576\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":838665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geier, Joel","contributorId":118579,"corporation":false,"usgs":true,"family":"Geier","given":"Joel","email":"","affiliations":[],"preferred":false,"id":518035,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindgren, Georg","contributorId":115203,"corporation":false,"usgs":true,"family":"Lindgren","given":"Georg","email":"","affiliations":[],"preferred":false,"id":518033,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048008,"text":"sir20135160 - 2013 - Numerical simulation of the groundwater-flow system in Chimacum Creek Basin and vicinity, Jefferson County, Washington","interactions":[],"lastModifiedDate":"2013-09-06T09:34:23","indexId":"sir20135160","displayToPublicDate":"2013-09-06T09:27:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5160","title":"Numerical simulation of the groundwater-flow system in Chimacum Creek Basin and vicinity, Jefferson County, Washington","docAbstract":"A groundwater-flow model was developed to evaluate potential future effects of growth and of water-management strategies on water resources in the Chimacum Creek Basin. The model covers an area of about 64 square miles (mi<sup>2</sup>) on the Olympic Peninsula in northeastern Jefferson County, Washington. The Chimacum Creek Basin drains an area of about 53 mi<sup>2</sup> and consists of Chimacum Creek and its tributary East Fork Chimacum Creek, which converge near the town of Chimacum and discharge to Port Townsend Bay near the town of Irondale. The topography of the model area consists of north-south oriented, narrow, regularly spaced parallel ridges and valleys that are characteristic of fluted glaciated surfaces. Thick accumulations of peat occur along the axis of East Fork Chimacum Creek and provide rich soils for agricultural use. The study area is underlain by a north-thickening sequence of unconsolidated glacial (till and outwash) and interglacial (fluvial and lacustrine) deposits, and sedimentary and igneous bedrock units that crop out along the margins and the western interior of the model area. Six hydrogeologic units in the model area form the basis of the groundwater-flow model. They are represented by model layers UC (upper confining), UA (upper aquifer), MC (middle confining), LA (lower aquifer), LC (lower confining), and OE (bedrock). Groundwater flow in the Chimacum Creek Basin and vicinity was simulated using the groundwater-flow model, MODFLOW-2005. The finite-difference model grid comprises 245 columns, 313 rows, and 6 layers. Each model cell has a horizontal dimension of 200 × 200 feet (ft). The thickness of model layers varies throughout the model area and ranges from 5 ft in the non-bedrock units to more than 2,400 ft in the bedrock. Groundwater flow was simulated for steady-state conditions, which were simulated for calibration of the model using average recharge, discharge, and water levels for the 180-month period October 1994–September 2009. The model as calibrated has a mean residual of 4.5 ft and a standard error on the mean of 2.1 ft for heads, and 0.64±0.42 cubic feet per second for streamflows. After the model was calibrated, a Current Conditions simulation was developed to reflect current (October 2008–September 2009) hydrologic conditions, with representative pumping, return flows, and “normal” recharge (based on National Weather Service average precipitation for 1981 to 2010). The Current Conditions simulation was used to estimate current flow quantities, and as a basis to compare other simulations.Simulated steady-state inflow to the model area from precipitation and secondary recharge, or “return flow,” was 16,347 acre-feet per year (acre-ft/yr); groundwater inflow from other basins to the north of the model boundary was 1,518 acre-ft/yr (net, 3,114 acre-ft/yr in and 1,596 acre-ft/yr out) and simulated inflow from lake leakage was 613 acre-ft/yr (net, 684 acre-ft/yr in and 71 acre-ft/yr out). Simulated outflow from the model primarily was through discharge to Puget Sound (10,022 acre-ft/yr), streams (5,424 acre-ft/yr ), springs and seeps (1,521 acre-ft/yr), and through withdrawals from wells (1,506 acre-ft/yr). Four simulations were formulated using the calibrated model—one to represent current conditions (2009, the end of the period used for calibration) and three to provide representative examples of how the model can be used to evaluate the relative effects of potential changes in groundwater withdrawals and consumptive use on groundwater levels and stream base flows: Probable Future Use, based on population projections; Full Beneficial Use, based on Jefferson County Public Utility District #1 water rights; Sanitary Sewer, based on eliminating septic return flows in the Urban Growth Area. Particle tracking was used to assess flowpaths from sources and to sinks, and the effects of the presence of irrigation wells and their depths was assessed.","language":"English","doi":"10.3133/sir20135160","collaboration":"Prepared in cooperation with Jefferson County and the Washington State Department of Ecology","usgsCitation":"Jones, J.L., Johnson, K.H., and Frans, L.M., 2013, Numerical simulation of the groundwater-flow system in Chimacum Creek Basin and vicinity, Jefferson County, Washington: U.S. Geological Survey Scientific Investigations Report 2013-5160, vii, 79 p., https://doi.org/10.3133/sir20135160.","productDescription":"vii, 79 p.","numberOfPages":"86","ipdsId":"IP-046166","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":277358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/SIR20135160.PNG"},{"id":277329,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5160/"},{"id":277357,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5160/pdf/sir20135160.pdf"}],"country":"United States","state":"Washington","county":"Jefferson County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.0696,46.9432 ], [ -123.0696,48.5235 ], [ -121.5553,48.5235 ], [ -121.5553,46.9432 ], [ -123.0696,46.9432 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522aeb6ae4b08fd0132e794d","contributors":{"authors":[{"text":"Jones, Joseph L. jljones@usgs.gov","contributorId":3492,"corporation":false,"usgs":true,"family":"Jones","given":"Joseph","email":"jljones@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Kenneth H. johnson@usgs.gov","contributorId":3103,"corporation":false,"usgs":true,"family":"Johnson","given":"Kenneth","email":"johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frans, Lonna M. 0000-0002-3217-1862 lmfrans@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-1862","contributorId":1493,"corporation":false,"usgs":true,"family":"Frans","given":"Lonna","email":"lmfrans@usgs.gov","middleInitial":"M.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483584,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048015,"text":"70048015 - 2013 - Evaluation of internal loading and water level changes: implications for phosphorus, algal production, and nuisance blooms in Kabetogama Lake, Voyageurs National Park, Minnesota","interactions":[],"lastModifiedDate":"2013-09-06T09:19:16","indexId":"70048015","displayToPublicDate":"2013-09-06T09:14:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of internal loading and water level changes: implications for phosphorus, algal production, and nuisance blooms in Kabetogama Lake, Voyageurs National Park, Minnesota","docAbstract":"Hydrologic manipulations have the potential to exacerbate or remediate eutrophication in productive reservoirs. Dam operations at Kabetogama Lake, Minnesota, were modified in 2000 to restore a more natural water regime and improve water quality. The US Geological Survey and National Park Service evaluated nutrient, algae, and nuisance bloom data in relation to changes in Kabetogama Lake water levels. Comparison of the results of this study to previous studies indicates that chlorophyll a concentrations have decreased, whereas total phosphorus (TP) concentrations have not changed significantly since 2000. Water and sediment quality data were collected at Voyageurs National Park during 2008–2009 to assess internal phosphorus loading and determine whether loading is a factor affecting TP concentrations and algal productivity. Kabetogama Lake often was mixed vertically, except for occasional stratification measured in certain areas, including Lost Bay in the northeastern part of Kabetogama Lake. Stratification, higher bottom water and sediment nutrient concentrations than in other parts of the lake, and phosphorus release rates estimated from sediment core incubations indicated that Lost Bay is one of several areas that may be contributing to internal loading. Internal loading of TP is a concern because increased TP may cause excessive algal growth including potentially toxic cyanobacteria.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Lake and Reservoir Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2013.831148","usgsCitation":"Christensen, V.G., Maki, R., and Kiesling, R.L., 2013, Evaluation of internal loading and water level changes: implications for phosphorus, algal production, and nuisance blooms in Kabetogama Lake, Voyageurs National Park, Minnesota: Lake and Reservoir Management, v. 29, no. 3, p. 202-215, https://doi.org/10.1080/10402381.2013.831148.","productDescription":"14 p.","startPage":"202","endPage":"215","numberOfPages":"14","ipdsId":"IP-043981","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":473552,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10402381.2013.831148","text":"Publisher Index Page"},{"id":277356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277355,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/10402381.2013.831148"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park;Kabetogama Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.128616,48.402901 ], [ -93.128616,48.53329 ], [ -92.785409,48.53329 ], [ -92.785409,48.402901 ], [ -93.128616,48.402901 ] ] ] } } ] }","volume":"29","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522aeb68e4b08fd0132e793d","contributors":{"authors":[{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maki, Ryan P.","contributorId":100111,"corporation":false,"usgs":true,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":483602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483600,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048014,"text":"ofr20131167 - 2013 - Dissolved methane in groundwater, Upper Delaware River Basin, Pennsylvania and New York, 2007-12","interactions":[],"lastModifiedDate":"2013-10-30T12:57:43","indexId":"ofr20131167","displayToPublicDate":"2013-09-06T08:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1167","title":"Dissolved methane in groundwater, Upper Delaware River Basin, Pennsylvania and New York, 2007-12","docAbstract":"The prospect of natural gas development from the Marcellus and Utica Shales has raised concerns about freshwater aquifers being vulnerable to contamination. Well owners are asking questions about subsurface methane, such as, “Does my well water have methane and is it safe to drink the water?” and “Is my well system at risk of an explosion hazard associated with a combustible gas like methane in groundwater?”\n\nThis newfound awareness of methane contamination of water wells by stray gas migration is based upon studies such as Molofsky and others (2011) who document the widespread natural occurrence of methane in drinking-water wells in Susquehanna County, Pennsylvania. In the same county, Osborn and others (2011) identified elevated methane concentrations in selected drinking-water wells in the vicinity of Marcellus Shale gas-development activities, although pre-development groundwater samples were not available for comparison.\n\nA compilation of dissolved methane concentrations in groundwater for New York State was published by Kappel and Nystrom (2012). Recent work documenting the occurrence and distribution of methane in groundwater was completed in southern Sullivan County, Pennsylvania (Sloto, 2013). Additional work is ongoing with respect to monitoring for stray gases in groundwater (Jackson and others, 2013). These studies and their results indicate the importance of collecting baseline or pre-development data. While such data are being collected in some areas, published data on methane in groundwater are sparse in the Upper Delaware River Basin of Pennsylvania, New York, and New Jersey. To manage drinking-water resources in areas of gas-well drilling and hydraulic fracturing in the Upper Delaware River Basin, the natural occurrence of methane in the tri-state aquifers needs to be documented.\n\nThe purpose of this report is to present data on dissolved methane concentrations in the groundwater in the Upper Delaware River Basin. The scope is restricted to data for Pennsylvania and New York, no U.S. Geological Survey (USGS) methane analyses are presently available for northwestern New Jersey.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131167","usgsCitation":"Kappel, W.M., 2013, Dissolved methane in groundwater, Upper Delaware River Basin, Pennsylvania and New York, 2007-12: U.S. Geological Survey Open-File Report 2013-1167, 6 p., https://doi.org/10.3133/ofr20131167.","productDescription":"6 p.","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":277352,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1167/"},{"id":277353,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1167/pdf/ofr2013-1167.pdf"},{"id":277354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131167.gif"}],"scale":"250000","country":"United States","state":"New York;Pennsylvania","otherGeospatial":"Upper Delaware River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.0248,40.8017 ], [ -76.0248,42.5463 ], [ -73.8851,42.5463 ], [ -73.8851,40.8017 ], [ -76.0248,40.8017 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f252e4b0bc0bec0a02f5","contributors":{"authors":[{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483599,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047997,"text":"ofr20131171 - 2013 - Evaluation of the groundwater flow model for southern Utah and Goshen Valleys, Utah, updated to conditions through 2011, with new projections and groundwater management simulations","interactions":[],"lastModifiedDate":"2017-04-10T15:27:37","indexId":"ofr20131171","displayToPublicDate":"2013-09-05T14:38:53","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1171","title":"Evaluation of the groundwater flow model for southern Utah and Goshen Valleys, Utah, updated to conditions through 2011, with new projections and groundwater management simulations","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Southern Utah Valley Municipal Water Association, updated an existing USGS model of southern Utah and Goshen Valleys for hydrologic and climatic conditions from 1991 to 2011 and used the model for projection and groundwater management simulations. All model files used in the transient model were updated to be compatible with MODFLOW-2005 and with the additional stress periods. The well and recharge files had the most extensive changes. Discharge to pumping wells in southern Utah and Goshen Valleys was estimated and simulated on an annual basis from 1991 to 2011. Recharge estimates for 1991 to 2011 were included in the updated model by using precipitation, streamflow, canal diversions, and irrigation groundwater withdrawals for each year. The model was evaluated to determine how well it simulates groundwater conditions during recent increased withdrawals and drought, and to determine if the model is adequate for use in future planning. In southern Utah Valley, the magnitude and direction of annual water-level fluctuation simulated by the updated model reasonably match measured water-level changes, but they do not simulate as much decline as was measured in some locations from 2000 to 2002. Both the rapid increase in groundwater withdrawals and the total groundwater withdrawals in southern Utah Valley during this period exceed the variations and magnitudes simulated during the 1949 to 1990 calibration period. It is possible that hydraulic properties may be locally incorrect or that changes, such as land use or irrigation diversions, occurred that are not simulated. In the northern part of Goshen Valley, simulated water-level changes reasonably match measured changes. Farther south, however, simulated declines are much less than measured declines. Land-use changes indicate that groundwater withdrawals in Goshen Valley are possibly greater than estimated and simulated. It is also possible that irrigation methods, amount of diversions, or other factors have changed that are not simulated or that aquifer properties are incorrectly simulated. The model can be used for projections about the effects of future groundwater withdrawals and managed aquifer recharge in southern Utah Valley, but rapid changes in withdrawals and increasing withdrawals dramatically may reduce the accuracy of the predicted water-level and groundwater-budget changes. The model should not be used for projections in Goshen Valley until additional withdrawal and discharge data are collected and the model is recalibrated if necessary. Model projections indicate large drawdowns of up to 400 feet and complete cessation of natural discharge in some areas with potential future increases in water use. Simulated managed aquifer recharge counteracts those effects. Groundwater management examples indicate that drawdown could be less, and discharge at selected springs could be greater, with optimized groundwater withdrawals and managed aquifer recharge than without optimization. Recalibration to more recent stresses and seasonal stress periods, and collection of new withdrawal, stream, land-use, and discharge data could improve the model fit to water-level changes and the accuracy of predictions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131171","collaboration":"Prepared in cooperation with the Southern Utah Valley Municipal Water Association","usgsCitation":"Brooks, L.E., 2013, Evaluation of the groundwater flow model for southern Utah and Goshen Valleys, Utah, updated to conditions through 2011, with new projections and groundwater management simulations: U.S. Geological Survey Open-File Report 2013-1171, vi, 35 p., https://doi.org/10.3133/ofr20131171.","productDescription":"vi, 35 p.","numberOfPages":"46","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":277324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131171.jpg"},{"id":277322,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1171/"},{"id":277323,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1171/pdf/ofr2013-1171.pdf"}],"country":"United States","state":"Utah","otherGeospatial":"Goshen Valley, Southern Utah Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112,39.5 ], [ -112,40.6 ], [ -111.16,40.6 ], [ -111.16,39.5 ], [ -112,39.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522999dfe4b0f33a3916774c","contributors":{"authors":[{"text":"Brooks, Lynette E. 0000-0002-9074-0939 lebrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-9074-0939","contributorId":2718,"corporation":false,"usgs":true,"family":"Brooks","given":"Lynette","email":"lebrooks@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483550,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047993,"text":"sir20135162 - 2013 - Application of the Precipitation-Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States","interactions":[],"lastModifiedDate":"2017-01-17T20:53:05","indexId":"sir20135162","displayToPublicDate":"2013-09-05T12:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5162","title":"Application of the Precipitation-Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States","docAbstract":"A hydrologic model of the Apalachicola–Chattahoochee–Flint River Basin (ACFB) has been developed as part of a U.S. Geological Survey (USGS) National Climate Change and Wildlife Science Center effort to provide integrated science that helps resource managers understand the effect of climate change on a range of ecosystem responses. The hydrologic model was developed as part of the Southeast Regional Assessment Project using the Precipitation Runoff Modeling System (PRMS), a deterministic, distributed-parameter, process-based system that simulates the effects of precipitation, temperature, and land use on basin hydrology.\n\nThe ACFB PRMS model simulates streamflow throughout the approximately 50,700 square-kilometer basin on a daily time step for the period 1950–99 using gridded climate forcings of air temperature and precipitation, and parameters derived from spatial data layers of altitude, land cover, soils, surficial geology, depression storage (small water bodies), and data from 56 USGS streamgages. Measured streamflow data from 35 of the 56 USGS streamgages were used to calibrate and evaluate simulated basin streamflow; the remaining gage locations were used for model delineation only. The model matched measured daily streamflow at 31 of the 35 calibration gages with Nash-Sutcliffe Model Efficiency Index (NS) greater than 0.6. Streamflow data for some calibration gages were augmented for regulation and water use effects to represent more natural flow volumes. Time-static parameters describing land cover limited the ability of the simulation to match historical runoff in the more developed subbasins.\n\nOverall, the PRMS simulation of the ACFB provides a good representation of basin hydrology on annual and monthly time steps. Calibration subbasins were analyzed by separating the 35 subbasins into five classes based on physiography, land use, and stream type (tributary or mainstem). The lowest NS values were rarely below 0.6, whereas the median NS for all five classes was within 0.74 to 0.96 for annual mean streamflow, 0.89 to 0.98 for mean monthly streamflow, and 0.82 to 0.98 for monthly mean streamflow. The median bias for all five classes was within –4.3 to 0.8 percent for annual mean streamflow, –6.3 to 0.5 percent for mean monthly streamflow, and –9.3 to 1.3 percent for monthly mean streamflow. The NS results combined with the percent bias results indicated a good to very good streamflow volume simulation for all subbasins.\n\nThis simulation of the ACFB provides a foundation for future modeling and interpretive studies. Streamflow and other components of the hydrologic cycle simulated by PRMS can be used to inform other types of simulations; water-temperature, hydrodynamic, and ecosystem-dynamics simulations are three examples. In addition, possible future hydrologic conditions could be studied using this model in combination with land cover projections and downscaled general circulation model results.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135162","usgsCitation":"LaFontaine, J.H., Hay, L.E., Viger, R., Markstrom, S.L., Regan, R., Elliott, C.M., and Jones, J., 2013, Application of the Precipitation-Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States: U.S. Geological Survey Scientific Investigations Report 2013-5162, ix, 118 p., https://doi.org/10.3133/sir20135162.","productDescription":"ix, 118 p.","numberOfPages":"132","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":277319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135162.gif"},{"id":277318,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5162/pdf/sir2013-5162.pdf"},{"id":277317,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5162/"}],"country":"United States","state":"Alabama, Florida, Georgia","otherGeospatial":"Apalachicola-Chattahoochee-Flint River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.0336,29.6993 ], [ -86.0336,34.9286 ], [ -83.115,34.9286 ], [ -83.115,29.6993 ], [ -86.0336,29.6993 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522999d0e4b0f33a39167748","contributors":{"authors":[{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":483524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Viger, Roland J.","contributorId":97528,"corporation":false,"usgs":true,"family":"Viger","given":"Roland J.","affiliations":[],"preferred":false,"id":483530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Markstrom, Steve L.","contributorId":50073,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steve","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":483528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regan, R. Steve 0000-0003-4803-8596","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":58736,"corporation":false,"usgs":true,"family":"Regan","given":"R. Steve","affiliations":[],"preferred":false,"id":483529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":483527,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":483525,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047992,"text":"sim3232 - 2013 - Flood-inundation maps for the Wabash River at Terre Haute, Indiana","interactions":[],"lastModifiedDate":"2013-09-05T13:12:04","indexId":"sim3232","displayToPublicDate":"2013-09-05T12:44:46","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3232","title":"Flood-inundation maps for the Wabash River at Terre Haute, Indiana","docAbstract":"Digital flood-inundation maps for a 6.3-mi reach of the Wabash River from 0.1 mi downstream of the Interstate 70 bridge to 1.1 miles upstream of the Route 63 bridge, Terre Haute, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent of flooding corresponding to select water levels (stages) at the USGS streamgage Wabash River at Terre Haute (station number 03341500). Current conditions at the USGS streamgage may be obtained on the Internet from the USGS National Water Information System (http://waterdata.usgs.gov/in/nwis/uv/?site_no=03341500&agency_cd=USGS&p\"). In addition, the same data are provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system (http://water.weather.gov/ahps//). Within this system, the NWS forecasts flood hydrographs for the Wabash River at Terre Haute that may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.  In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relation at the Wabash River at the Terre Haute streamgage. The hydraulic model was then used to compute 22 water-surface profiles for flood stages at 1-ft interval referenced to the streamgage datum and ranging from bank-full to approximately the highest recorded water level at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from Light Detection and Ranging (LiDAR) data having a 0.37-ft vertical accuracy and a 1.02-ft horizontal accuracy) to delineate the area flooded at each water level.  The availability of these maps along with Internet information regarding the current stage from the USGS streamgage and forecasted stream stages from the NWS can provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for post flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3232","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Lombard, P., 2013, Flood-inundation maps for the Wabash River at Terre Haute, Indiana: U.S. Geological Survey Scientific Investigations Map 3232, Report: v, 7 p.; Low Resolution and High Resolution Map Sheets; Downloads Directory, https://doi.org/10.3133/sim3232.","productDescription":"Report: v, 7 p.; Low Resolution and High Resolution Map Sheets; Downloads Directory","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":277316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3232.gif"},{"id":277312,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3232/"},{"id":277314,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3232/pdf/pdf-mapsheets"},{"id":277313,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3232/pdf/sim3232.pdf"},{"id":277315,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3232/Downloads"}],"country":"United States","state":"Indiana","city":"Terre Haute","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.41,39.40 ], [ -87.41,39.53 ], [ -87.27,39.53 ], [ -87.27,39.40 ], [ -87.41,39.40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522999dfe4b0f33a39167750","contributors":{"authors":[{"text":"Lombard, Pamela J. 0000-0002-0983-1906","orcid":"https://orcid.org/0000-0002-0983-1906","contributorId":23899,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela J.","affiliations":[],"preferred":false,"id":483523,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047989,"text":"ofr20131003 - 2013 - Sea-floor geology in northeastern Block Island Sound, Rhode Island","interactions":[],"lastModifiedDate":"2017-11-10T18:25:20","indexId":"ofr20131003","displayToPublicDate":"2013-09-05T11:10:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1003","title":"Sea-floor geology in northeastern Block Island Sound, Rhode Island","docAbstract":"Multibeam-echosounder and sidescan-sonar data collected by the National Oceanic and Atmospheric Administration in northeastern Block Island Sound, combined with sediment samples and bottom photography collected by the U.S. Geological Survey, are used to interpret sea-floor features and sedimentary environments in this 52-square-kilometer-area offshore Rhode Island. Boulders, which are often overgrown with sessile fauna and flora, are mostly in water depths shallower than 20 meters. They are probably part of the southern flank of the Harbor Hill-Roanoke Point-Charlestown-Buzzards Bay moraine, deposited about 18,000 years ago. Scour depressions, areas of the sea floor with a coarser grained, rippled surface lying about 0.5 meter below the finer grained, surrounding sea floor, along with erosional outliers within the depressions are in a band near shore and also offshore in deep parts of the study area. Textural and bathymetric differences between areas of scour depressions and the surrounding sea floor or erosional outliers stand out in the sidescan-sonar imagery with sharp tonal contrasts. Also visible in the sidescan-sonar imagery are broad, low-profile bedforms with coarser grained troughs and finer grained crests.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131003","usgsCitation":"McMullen, K.Y., Poppe, L., Ackerman, S.D., Blackwood, D.S., Lewit, P., and Parker, C.E., 2013, Sea-floor geology in northeastern Block Island Sound, Rhode Island: U.S. Geological Survey Open-File Report 2013-1003, https://doi.org/10.3133/ofr20131003.","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":277310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131003.gif"},{"id":277308,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1003/title_page.html"},{"id":277307,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1003/"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Block Island Sound","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-71.5127361083695, 41.374865718724074], [-71.51462070311004, 41.36927422021169], [-71.51318874543256, 41.3683632751069], [-71.51106354641985, 41.371738506543444], [-71.50852399423627, 41.37241636012385], [-71.50926317349098, 41.37335623575238], [-71.5068948074156, 41.373263454169255], [-71.49048647576501, 41.362714462921616], [-71.49036367329842, 41.35957687313061], [-71.48751045285518, 41.36097862174062], [-71.48121025249941, 41.358151265585036], [-71.47882173009191, 41.35943560333122], [-71.47765444441654, 41.357902946888366], [-71.4789560967701, 41.349449833778124], [-71.50071374924102, 41.34417027153665], [-71.49391524028937, 41.33748930712102], [-71.48757435649793, 41.326797236350046], [-71.48708483244633, 41.3175741317338], [-71.49889495951686, 41.31506189270702], [-71.50345443916535, 41.317995851246785], [-71.58562162860615, 41.31784956254495], [-71.58778440304559, 41.319941612472185], [-71.58710923048693, 41.32127764173243], [-71.59124618190611, 41.33218678973423], [-71.59386077742757, 41.33167908798708], [-71.59442201864425, 41.33340476516445], [-71.59180776858346, 41.333922788744744], [-71.59641129412461, 41.34230429998661], [-71.60010486401836, 41.35410546959327], [-71.60499068474991, 41.35576934379792], [-71.60420792464902, 41.35737451918481], [-71.60178406235555, 41.35724755200918], [-71.6039460832202, 41.36287784322058], [-71.5946278180612, 41.36408657018692], [-71.5818296039617, 41.368377398403744], [-71.57016462918762, 41.370217377514166], [-71.56427358411975, 41.369435605244334], [-71.55983530838853, 41.37185053766479], [-71.54891044879882, 41.37318158607775], [-71.54231452272455, 41.36980449400686], [-71.54045204023959, 41.37121259150273], [-71.52953811910157, 41.37184259242489], [-71.527419120655, 41.37583009835655], [-71.52008374206325, 41.37503507413786], [-71.51657022413279, 41.372477853249826], [-71.51494839567096, 41.377648161406746], [-71.5126029050341, 41.377571565273065], [-71.5127361083695, 41.374865718724074]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-71.60499068474991, 41.31506189270702, -71.47765444441654, 41.377648161406746], \"type\": \"Feature\", \"id\": \"3091983\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522999e0e4b0f33a39167754","contributors":{"authors":[{"text":"McMullen, Kate Y.","contributorId":8582,"corporation":false,"usgs":true,"family":"McMullen","given":"Kate","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":483517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poppe, Lawrence J. lpoppe@usgs.gov","contributorId":2149,"corporation":false,"usgs":true,"family":"Poppe","given":"Lawrence J.","email":"lpoppe@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":483515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":483518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackwood, Dann S. dblackwood@usgs.gov","contributorId":2457,"corporation":false,"usgs":true,"family":"Blackwood","given":"Dann","email":"dblackwood@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":483516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lewit, P.G.","contributorId":76028,"corporation":false,"usgs":true,"family":"Lewit","given":"P.G.","affiliations":[],"preferred":false,"id":483520,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parker, Castle E.","contributorId":28684,"corporation":false,"usgs":false,"family":"Parker","given":"Castle","email":"","middleInitial":"E.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":483519,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70045199,"text":"70045199 - 2013 - Species and life-history affects the utility of otolith chemical composition to determine natal stream-of-origin in Pacific salmon","interactions":[],"lastModifiedDate":"2013-10-30T12:52:57","indexId":"70045199","displayToPublicDate":"2013-09-05T09:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Species and life-history affects the utility of otolith chemical composition to determine natal stream-of-origin in Pacific salmon","docAbstract":"To test the utility of otolith chemical composition as a tool for determining the natal stream of origin for salmon, we examined water chemistry and otoliths of juvenile and adult Chum Salmon Oncorhynchus keta and Coho Salmon O. kisutch from three watersheds (five rivers) in the Norton Sound region of Alaska. The two species are characterized by different life histories: Coho Salmon rear in freshwater for up to 3 years, whereas Chum Salmon emigrate from freshwater shortly after emergence. We used laser ablation (LA) inductively coupled plasma (ICP) mass spectrometry (MS) to quantify element: Ca ratios for Mg, Mn, Zn, Sr, and Ba, and we used multicollector LA-ICP-MS to determine <sup>87</sup>Sr:<sup>86</sup>Sr ratios in otolith regions corresponding to the period of freshwater residence. Significant differences existed in both water and otolith elemental composition, suggesting that otolith composition could be used to discriminate the natal origin of Coho Salmon and Chum Salmon but only when <sup>87</sup>Sr:<sup>86</sup>Sr ratios were included in the discriminant function analyses. The best discriminant model included <sup>87</sup>Sr:<sup>86</sup>Sr ratios, and without <sup>87</sup>Sr:<sup>86</sup>Sr ratios it was difficult to discriminate among watersheds and rivers. Classification accuracy was 80% for Coho Salmon and 68% for Chum Salmon, indicating that this method does not provide sufficient sensitivity to estimate straying rates of Pacific salmon at the scale we studied.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2013.811102","usgsCitation":"Zimmerman, C.E., Swanson, H., Volk, E.C., and Kent, A., 2013, Species and life-history affects the utility of otolith chemical composition to determine natal stream-of-origin in Pacific salmon: Transactions of the American Fisheries Society, v. 142, no. 5, p. 1370-1380, https://doi.org/10.1080/00028487.2013.811102.","productDescription":"11 p.","startPage":"1370","endPage":"1380","numberOfPages":"11","ipdsId":"IP-044914","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":277305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277304,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2013.811102"}],"country":"United States","state":"Alaska","otherGeospatial":"Norton Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -167.15,62.83 ], [ -167.15,64.97 ], [ -159.81,64.97 ], [ -159.81,62.83 ], [ -167.15,62.83 ] ] ] } } ] }","volume":"142","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-09-02","publicationStatus":"PW","scienceBaseUri":"522999e1e4b0f33a39167758","contributors":{"authors":[{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":476998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swanson, Heidi K.","contributorId":80167,"corporation":false,"usgs":true,"family":"Swanson","given":"Heidi K.","affiliations":[],"preferred":false,"id":477000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Volk, Eric C.","contributorId":14720,"corporation":false,"usgs":true,"family":"Volk","given":"Eric","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":476999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kent, Adam J. R.","contributorId":99842,"corporation":false,"usgs":true,"family":"Kent","given":"Adam J. R.","affiliations":[],"preferred":false,"id":477001,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047984,"text":"ofr20131170F - 2013 - Potential Environmental and Environmental-Health Implications of the SAFRR Tsunami Scenario in California: Chapter F in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>","interactions":[],"lastModifiedDate":"2013-09-04T16:02:54","indexId":"ofr20131170F","displayToPublicDate":"2013-09-04T15:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1170","chapter":"F","title":"Potential Environmental and Environmental-Health Implications of the SAFRR Tsunami Scenario in California: Chapter F in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>","docAbstract":"The California Tsunami Scenario models the impacts of a hypothetical, yet plausible, tsunami caused by an earthquake offshore from the Alaska Peninsula. In this chapter, we interpret plausible tsunami-related contamination, environmental impacts, potential for human exposures to contaminants and hazardous materials, and implications for remediation and recovery. Inundation-related damages to major ports, boat yards, and many marinas could release complex debris, crude oil, various fuel types and other petroleum products, some liquid bulk cargo and dry bulk cargo, and diverse other pollutants into nearby coastal marine environments and onshore in the inundation zone. Tsunami-induced erosion of contaminated harbor bottom sediments could re-expose previously sequestered metal and organic pollutants (for example, organotin or DDT). Inundation-related damage to many older buildings could produce debris containing lead paint, asbestos, pesticides, and other legacy contaminants. Intermingled household debris and externally derived debris and sediments would be left in flooded buildings. Post tsunami, mold would likely develop in inundated houses, buildings, and debris piles. Tsunamigenic fires in spilled oil, debris, cargo, vehicles, vegetation, and residential, commercial, or industrial buildings and their contents would produce potentially toxic gases and smoke, airborne ash, and residual ash/debris containing caustic alkali solids, metal toxicants, asbestos, and various organic toxicants. Inundation of and damage to wastewater treatment plants in many coastal cities could release raw sewage containing fecal solids, pathogens, and waste chemicals, as well as chemicals used to treat wastewaters. Tsunami-related physical damages, debris, and contamination could have short- and longer-term impacts on the environment and the health of coastal marine and terrestrial ecosystems. Marine habitats in intertidal zones, marshes, sloughs, and lagoons could be damaged by erosion or sedimentation, and could receive an influx of debris, metal and organic contaminants, and sewage-related pathogens. Debris and re-exposed contaminated sediments would be a source of sea- or rain-water-leachable metal and organic contaminants that could pose chronic toxicity threats to ecosystems.\nIf human populations are successfully evacuated prior to the tsunami arrival, there would be no or limited numbers of drownings, other casualties, or related injuries, wounds, and infections. Immediately after the tsunami, human populations away from the inundation zone could be transiently exposed to airborne gases, smoke, and ash from tsunamigenic fires. Cleanup and disposal, particularly of hazardous materials, would pose substantial logistical challenges and economic costs. Given the high value of the coastal residential and commercial properties in the inundation zone, it can be postulated that there would be substantial insurance claims for environmental restoration, mold mitigation, disposal of debris that contains hazardous materials, and costs of litigation related to environmental liability. Post-tsunami cleanup, if done with appropriate mitigation (for example, dust control), personal protection, and disposal measures, would help reduce the potential for cleanup-worker and resident exposures to toxicants and pathogens in harbor waters, debris, soils, ponded waters, and buildings. A number of other steps can be taken by governments, businesses, and residents to help reduce the environmental impacts of tsunamis and to recover more quickly from these environmental impacts. For example, development of State and local policies that foster rapid assessment of potential contamination, as well as rapid decision making for disposal options should hazardous debris or sediment be identified, would help enhance recovery by speeding cleanup.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The SAFRR (Science Application for Risk Reduction) Tsunami Scenario (Open File Report 2013-1170)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131170F","collaboration":"Chapter F in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>.  For more information, see: <a href=\"http://pubs.usgs.gov/of/2013/1170/\" target=\"_blank\">Open File Report 2013-1170</a>","usgsCitation":"Plumlee, G.S., Morman, S.A., and San Juan, C., 2013, Potential Environmental and Environmental-Health Implications of the SAFRR Tsunami Scenario in California: Chapter F in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>: U.S. Geological Survey Open-File Report 2013-1170, v, 34 p., https://doi.org/10.3133/ofr20131170F.","productDescription":"v, 34 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":553,"text":"Science Application for Risk Reduction (SAFRR)","active":false,"usgs":true}],"links":[{"id":277295,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1170/f/index.html"},{"id":277296,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1170/f/pdf/of2013-1170f.pdf"},{"id":277297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131170f.gif"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.48,32.53 ], [ -124.48,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.48,32.53 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52284861e4b06291bed8039c","contributors":{"authors":[{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":483505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morman, Suzette A. 0000-0002-2532-1033 smorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-1033","contributorId":996,"corporation":false,"usgs":true,"family":"Morman","given":"Suzette","email":"smorman@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":483506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"San Juan, Carma 0000-0002-9151-1919","orcid":"https://orcid.org/0000-0002-9151-1919","contributorId":64144,"corporation":false,"usgs":true,"family":"San Juan","given":"Carma","affiliations":[],"preferred":false,"id":483507,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047982,"text":"fs20133060 - 2013 - Landsat 8","interactions":[{"subject":{"id":70047982,"text":"fs20133060 - 2013 - Landsat 8","indexId":"fs20133060","publicationYear":"2013","noYear":false,"title":"Landsat 8"},"predicate":"SUPERSEDED_BY","object":{"id":70159774,"text":"fs20153081 - 2015 - Landsat—Earth observation satellites","indexId":"fs20153081","publicationYear":"2015","noYear":false,"title":"Landsat—Earth observation satellites"},"id":1}],"supersededBy":{"id":70159774,"text":"fs20153081 - 2015 - Landsat—Earth observation satellites","indexId":"fs20153081","publicationYear":"2015","noYear":false,"title":"Landsat—Earth observation satellites"},"lastModifiedDate":"2017-03-27T15:32:05","indexId":"fs20133060","displayToPublicDate":"2013-09-04T15:22:04","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3060","title":"Landsat 8","docAbstract":"<p>The Landsat era that began in 1972 will continue into the future, since the February 2013 launch of the Landsat Data Continuity Mission (renamed Landsat 8 on May 30, 2013). The Landsat 8 satellite provides 16-bit high-quality land-surface data, with instruments advancing future measurement capabilities while ensuring compatibility with historical Landsat data. The Operational Land Imager sensor collects data in the visible, near infrared, and shortwave infrared wavelength regions as well as a panchromatic band. Two new spectral bands have been added: a deep-blue band for coastal water and aerosol studies (band 1), and a band for cirrus cloud detection (band 9). A Quality Assurance band is also included to indicate the presence of terrain shadowing, data artifacts, and clouds. The Thermal Infrared Sensor collects data in two long wavelength thermal infrared bands and has a 3-year design life.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133060","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Landsat 8: U.S. Geological Survey Fact Sheet 2013-3060, 4 p., https://doi.org/10.3133/fs20133060.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":277290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133060.gif"},{"id":277288,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3060/"},{"id":277289,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3060/pdf/fs2013-3060.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5228485fe4b06291bed80394","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535585,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047981,"text":"ofr20131170D - 2013 - Modeling for the SAFRR Tsunami Scenario-generation, propagation, inundation, and currents in ports and harbors: Chapter D in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>","interactions":[],"lastModifiedDate":"2013-09-04T15:26:33","indexId":"ofr20131170D","displayToPublicDate":"2013-09-04T15:06:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1170","chapter":"D","title":"Modeling for the SAFRR Tsunami Scenario-generation, propagation, inundation, and currents in ports and harbors: Chapter D in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>","docAbstract":"This U.S. Geological Survey (USGS) Open-File report presents a compilation of tsunami modeling studies for the Science Application for Risk Reduction (SAFRR) tsunami scenario. These modeling studies are based on an earthquake source specified by the SAFRR tsunami source working group (Kirby and others, 2013). The modeling studies in this report are organized into three groups. The first group relates to tsunami generation. The effects that source discretization and horizontal displacement have on tsunami initial conditions are examined in section 1 (Whitmore and others). In section 2 (Ryan and others), dynamic earthquake rupture models are explored in modeling tsunami generation. These models calculate slip distribution and vertical displacement of the seafloor as a result of realistic fault friction, physical properties of rocks surrounding the fault, and dynamic stresses resolved on the fault. The second group of papers relates to tsunami propagation and inundation modeling. Section 3 (Thio) presents a modeling study for the entire California coast that includes runup and inundation modeling where there is significant exposure and estimates of maximum velocity and momentum flux at the shoreline. In section 4 (Borrero and others), modeling of tsunami propagation and high-resolution inundation of critical locations in southern California is performed using the National Oceanic and Atmospheric Administration’s (NOAA) Method of Splitting Tsunami (MOST) model and NOAA’s Community Model Interface for Tsunamis (ComMIT) modeling tool. Adjustments to the inundation line owing to fine-scale structures such as levees are described in section 5 (Wilson). The third group of papers relates to modeling of hydrodynamics in ports and harbors. Section 6 (Nicolsky and Suleimani) presents results of the model used at the Alaska Earthquake Information Center for the Ports of Los Angeles and Long Beach, as well as synthetic time series of the modeled tsunami for other selected locales in southern California. Importantly, section 6 provides a comparison of the effect of including horizontal displacements at the source described in section 1 and differences in bottom friction on wave heights and inundation in the Ports of Los Angeles and Long Beach. Modeling described in section 7 (Lynett and Son) uses a higher order physical model to determine variations of currents during the tsunami and complex flow structures such as jets and eddies. Section 7 also uses sediment transport models to estimate scour and deposition of sediment in ports and harbors—a significant effect that was observed in southern California following the 2011 Tohoku tsunami. Together, all of the sections in this report form the basis for damage, impact, and emergency preparedness aspects of the SAFRR tsunami scenario. Three sections of this report independently calculate wave height and inundation results using the source specified by Kirby and others (2013). Refer to figure 29 in section 3, figure 52 in section 4, and figure 62 in section 6. All of these results are relative to a mean high water (MHW) vertical datum. Slight differences in the results are observed in East Basin of the Port of Los Angeles, Alamitos Bay, and the Seal Beach National Wildlife Refuge. However, given that these three modeling efforts involved different implementations of the source, different numerical wave propagation and runup models, and slight differences in the digital elevation models (DEMs), the similarity among the results is remarkable.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The SAFRR (Science Application for Risk Reduction) Tsunami Scenario (Open File Report 2013-1170)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131170D","collaboration":"Chapter D in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>.  For more information, see: <a href=\"http://pubs.usgs.gov/of/2013/1170/\" target=\"_blank\">Open File Report 2013-1170</a>.","usgsCitation":"SAFRR Tsunami Modeling Working Group, 2013, Modeling for the SAFRR Tsunami Scenario-generation, propagation, inundation, and currents in ports and harbors: Chapter D in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>: U.S. Geological Survey Open-File Report 2013-1170, x, 136 p., https://doi.org/10.3133/ofr20131170D.","productDescription":"x, 136 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-046059","costCenters":[],"links":[{"id":438782,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X1MGE7","text":"USGS data release","linkHelpText":"Simulation and visualization of coastal tsunami impacts from the SAFRR tsunami source"},{"id":277291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131170d.gif"},{"id":277286,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1170/d/pdf/of2013-1170d.pdf"},{"id":277287,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1170/d/index.html"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.48,32.53 ], [ -124.48,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.48,32.53 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52284860e4b06291bed80398","contributors":{"authors":[{"text":"SAFRR Tsunami Modeling Working Group","contributorId":128010,"corporation":true,"usgs":false,"organization":"SAFRR Tsunami Modeling Working Group","id":535584,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047980,"text":"fs20133065 - 2013 - Baseline assessment of physical characteristics, aquatic biota, and selected water-quality properties at the reach and mesohabitat scale for three stream reaches in the Big Cypress Basin, northeastern Texas, 2010-11","interactions":[],"lastModifiedDate":"2016-08-05T13:45:16","indexId":"fs20133065","displayToPublicDate":"2013-09-04T14:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3065","title":"Baseline assessment of physical characteristics, aquatic biota, and selected water-quality properties at the reach and mesohabitat scale for three stream reaches in the Big Cypress Basin, northeastern Texas, 2010-11","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the Northeast Texas Municipal Water District and the Texas Commission on Environmental Quality, did a baseline assessment in 2010-11 of physical characteristics and selected aquatic biota (fish and mussels) collected at the mesohabitat scale for three stream reaches in the Big Cypress Basin in northeastern Texas for which environmental flows have been prescribed. Mesohabitats are visually distinct units of habitat within the stream with unique depth, velocity, slope, substrate, and cover. Mesohabitats in reaches of Big Cypress, Black Cypress, and Little Cypress Bayous were evaluated to gain an understanding of how fish communities and mussel populations varied by habitat. Selected water-quality properties were also measured in isolated pools in Black Cypress and Little Cypress. All of the data were collected in the context of the prescribed environmental flows. The information acquired during the study will support the long-term monitoring of biota in relation to the prescribed environmental flows.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133065","collaboration":"Prepared in cooperation with the Northeast Texas Municipal Water District and the Texas Commission on Environmental Quality","usgsCitation":"Braun, C.L., and Moring, J., 2013, Baseline assessment of physical characteristics, aquatic biota, and selected water-quality properties at the reach and mesohabitat scale for three stream reaches in the Big Cypress Basin, northeastern Texas, 2010-11: U.S. Geological Survey Fact Sheet 2013-3065, 4 p., https://doi.org/10.3133/fs20133065.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":277284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133065.gif"},{"id":277282,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3065/"},{"id":277283,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3065/pdf/FS2013-3065.pdf"}],"scale":"24000","projection":"Universal Transverse Mercator, zone 15","datum":"North American Datum of 1983","country":"United States","state":"Texas","otherGeospatial":"Big Cypress Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.573059,32.649204 ], [ -94.573059,32.833443 ], [ -94.198494,32.833443 ], [ -94.198494,32.649204 ], [ -94.573059,32.649204 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5228485fe4b06291bed80390","contributors":{"authors":[{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moring, James B. jbmoring@usgs.gov","contributorId":1509,"corporation":false,"usgs":true,"family":"Moring","given":"James B.","email":"jbmoring@usgs.gov","affiliations":[],"preferred":false,"id":483493,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047971,"text":"sir20135157 - 2013 - Synthesis and interpretation of surface-water quality and aquatic biota data collected in Shenandoah National Park, Virginia, 1979-2009","interactions":[],"lastModifiedDate":"2024-03-04T19:42:48.919003","indexId":"sir20135157","displayToPublicDate":"2013-09-04T13:33:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5157","title":"Synthesis and interpretation of surface-water quality and aquatic biota data collected in Shenandoah National Park, Virginia, 1979-2009","docAbstract":"<p><span>Shenandoah National Park in northern and central Virginia protects 777 square kilometers of mountain terrain in the Blue Ridge physiographic province and more than 90&nbsp;streams containing diverse aquatic biota. Park managers and visitors are interested in the water quality of park streams and its ability to support healthy coldwater communities and species, such as the native brook trout (</span><i>Salvelinus fontinalis</i><span>), that are at risk in the eastern United States. Despite protection from local stressors, however, the water quality of streams in the park is at risk from many regional stressors, including atmospheric pollution, decline in the health of the surrounding forests because of invasive forest pests, and global climate change. In 2010, the U.S. Geological Survey, in cooperation with the National Park Service, undertook a study to compile, analyze, and synthesize available data on water quality, aquatic macroinvertebrates, and fish within Shenandoah National Park. Specifically, the effort focused on creating a comprehensive water-resources database for the park that can be used to evaluate temporal trends and spatial patterns in the available data, and characterizing those data to better understand interrelations among water quality, aquatic macroinvertebrates, fish, and the&nbsp;landscape.</span></p>","language":"English","publisher":"U. S. 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,{"id":70047961,"text":"ofr20131232 - 2013 - Using broad landscape level features to predict redd densities of steelhead trout (<i>Oncorhynchus mykiss</i>) and Chinook Salmon (<i>Oncorhynchus tshawytscha</i>) in the Methow River watershed, Washington","interactions":[],"lastModifiedDate":"2023-07-25T13:05:14.419686","indexId":"ofr20131232","displayToPublicDate":"2013-09-04T06:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1232","title":"Using broad landscape level features to predict redd densities of steelhead trout (<i>Oncorhynchus mykiss</i>) and Chinook Salmon (<i>Oncorhynchus tshawytscha</i>) in the Methow River watershed, Washington","docAbstract":"We used broad-scale landscape feature variables to model redd densities of spring Chinook salmon (<i>Oncorhynchus tshawytscha</i>) and steelhead trout (<i>Oncorhynchus mykiss</i>) in the Methow River watershed. Redd densities were estimated from redd counts conducted from 2005 to 2007 and 2009 for steelhead trout and 2005 to 2009 for spring Chinook salmon. These densities were modeled using generalized linear mixed models. Variables examined included primary and secondary geology type, habitat type, flow type, sinuosity, and slope of stream channel. In addition, we included spring effect and hatchery effect variables to account for high densities of redds near known springs and hatchery outflows. Variables were associated with National Hydrography Database reach designations for modeling redd densities within each reach. Reaches were assigned a dominant habitat type, geology, mean slope, and sinuosity. The best fit model for spring Chinook salmon included sinuosity, critical slope, habitat type, flow type, and hatchery effect. Flow type, slope, and habitat type variables accounted for most of the variation in the data. The best fit model for steelhead trout included year, habitat type, flow type, hatchery effect, and spring effect. The spring effect, flow type, and hatchery effect variables explained most of the variation in the data. Our models illustrate how broad-scale landscape features may be used to predict spawning habitat over large areas where fine-scale data may be lacking.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131232","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Romine, J.G., Perry, R.W., and Connolly, P., 2013, Using broad landscape level features to predict redd densities of steelhead trout (<i>Oncorhynchus mykiss</i>) and Chinook Salmon (<i>Oncorhynchus tshawytscha</i>) in the Methow River watershed, Washington: U.S. Geological Survey Open-File Report 2013-1232, iv, 22 p., https://doi.org/10.3133/ofr20131232.","productDescription":"iv, 22 p.","numberOfPages":"30","onlineOnly":"Y","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":277258,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131232.png"},{"id":277256,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1232/","linkFileType":{"id":5,"text":"html"}},{"id":277257,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1232/pdf/ofr20131232.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Washington","otherGeospatial":"Methow River Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.833333,\n              48.833333\n            ],\n            [\n              -120.833333,\n              48\n            ],\n            [\n              -120,\n              48\n            ],\n            [\n              -120,\n              48.833333\n            ],\n            [\n              -120.833333,\n              48.833333\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52284863e4b06291bed803b4","contributors":{"authors":[{"text":"Romine, Jason G. 0000-0002-6938-1185 jromine@usgs.gov","orcid":"https://orcid.org/0000-0002-6938-1185","contributorId":2823,"corporation":false,"usgs":true,"family":"Romine","given":"Jason","email":"jromine@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":483411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":483410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":483412,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047953,"text":"70047953 - 2013 - The impact of sea-level rise on organic matter decay rates in Chesapeake Bay brackish tidal marshes","interactions":[],"lastModifiedDate":"2013-10-30T12:45:22","indexId":"70047953","displayToPublicDate":"2013-09-03T13:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"The impact of sea-level rise on organic matter decay rates in Chesapeake Bay brackish tidal marshes","docAbstract":"The balance between organic matter production and decay determines how fast coastal wetlands accumulate soil organic matter. Despite the importance of soil organic matter accumulation rates in influencing marsh elevation and resistance to sea-level rise, relatively little is known about how decomposition rates will respond to sea-level rise. Here, we estimate the sensitivity of decomposition to flooding by measuring rates of decay in 87 bags filled with milled sedge peat, including soil organic matter, roots and rhizomes. Experiments were located in field-based mesocosms along 3 mesohaline tributaries of the Chesapeake Bay. Mesocosm elevations were manipulated to influence the duration of tidal inundation. Although we found no significant influence of inundation on decay rate when bags from all study sites were analyzed together, decay rates at two of the sites increased with greater flooding. These findings suggest that flooding may enhance organic matter decay rates even in water-logged soils, but that the overall influence of flooding is minor. Our experiments suggest that sea-level rise will not accelerate rates of peat accumulation by slowing the rate of soil organic matter decay. Consequently, marshes will require enhanced organic matter productivity or mineral sediment deposition to survive accelerating sea-level rise.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Biogeosciences","doi":"10.5194/bg-10-1869-2013","usgsCitation":"Kirwanm, M., Langley, J., Guntenspergen, G.R., and Megonigal, J., 2013, The impact of sea-level rise on organic matter decay rates in Chesapeake Bay brackish tidal marshes: Biogeosciences, v. 10, p. 1869-1876, https://doi.org/10.5194/bg-10-1869-2013.","productDescription":"8 p.","startPage":"1869","endPage":"1876","numberOfPages":"8","ipdsId":"IP-043951","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473555,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-10-1869-2013","text":"Publisher Index Page"},{"id":277250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277248,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/bg-10-1869-2013"},{"id":277249,"type":{"id":15,"text":"Index Page"},"url":"https://www.biogeosciences.net/10/1869/2013/bg-10-1869-2013.html"}],"country":"United States","state":"Maryl","otherGeospatial":"Chesapeake Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.614329,38.959568 ], [ -76.614329,39.088294 ], [ -76.450464,39.088294 ], [ -76.450464,38.959568 ], [ -76.614329,38.959568 ] ] ] } } ] }","volume":"10","noUsgsAuthors":false,"publicationDate":"2013-03-19","publicationStatus":"PW","scienceBaseUri":"5226f6e1e4b01904cf5a8157","contributors":{"authors":[{"text":"Kirwanm, M.L.","contributorId":94581,"corporation":false,"usgs":true,"family":"Kirwanm","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":483396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langley, J.A.","contributorId":89246,"corporation":false,"usgs":true,"family":"Langley","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":483395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, Gleen R.","contributorId":71867,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Gleen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":483394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Megonigal, J.P.","contributorId":22545,"corporation":false,"usgs":true,"family":"Megonigal","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":483393,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047949,"text":"70047949 - 2013 - Remote detection of magmatic water in Bullialdus crater on the Moon","interactions":[],"lastModifiedDate":"2013-09-03T12:58:14","indexId":"70047949","displayToPublicDate":"2013-09-03T12:54:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Remote detection of magmatic water in Bullialdus crater on the Moon","docAbstract":"Once considered dry compared with Earth, laboratory analyses of igneous components of lunar samples have suggested that the Moon’s interior is not entirely anhydrous. Water and hydroxyl have also been detected from orbit on the lunar surface, but these have been attributed to nonindigenous sources, such as interactions with the solar wind. Magmatic lunar volatiles—evidence for water indigenous to the lunar interior—have not previously been detected remotely. Here we analyse spectroscopic data from the Moon Mineralogy Mapper (M<sup>3</sup>) and report that the central peak of Bullialdus Crater is significantly enhanced in hydroxyl relative to its surroundings. We suggest that the strong and localized hydroxyl absorption features are inconsistent with a surficial origin. Instead, they are consistent with hydroxyl bound to magmatic minerals that were excavated from depth by the impact that formed Bullialdus Crater. Furthermore, estimates of thorium concentration in the central peak using data from the Lunar Prospector orbiter indicate an enhancement in incompatible elements, in contrast to the compositions of water-bearing lunar samples. We suggest that the hydroxyl-bearing material was excavated from a magmatic source that is distinct from that of samples analysed thus far.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature","doi":"10.1038/NGEO1909","usgsCitation":"Klima, R.L., Cahill, J., Hagerty, J., and Lawrence, D., 2013, Remote detection of magmatic water in Bullialdus crater on the Moon: Nature Geoscience, v. 6, no. 9, p. 737-741, https://doi.org/10.1038/NGEO1909.","productDescription":"5 p.","startPage":"737","endPage":"741","numberOfPages":"5","ipdsId":"IP-039858","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":277244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277240,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/NGEO1909"}],"otherGeospatial":"Bullialdus Crater;Moon","volume":"6","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-08-25","publicationStatus":"PW","scienceBaseUri":"5226f6e0e4b01904cf5a814f","contributors":{"authors":[{"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":483372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cahill, John","contributorId":28516,"corporation":false,"usgs":true,"family":"Cahill","given":"John","email":"","affiliations":[],"preferred":false,"id":483373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":483371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawrence, David","contributorId":59333,"corporation":false,"usgs":true,"family":"Lawrence","given":"David","affiliations":[],"preferred":false,"id":483374,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047947,"text":"70047947 - 2013 - Continuous gravity measurements reveal a low-density lava lake at Kīlauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2013-10-30T12:39:36","indexId":"70047947","displayToPublicDate":"2013-09-03T10:03:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Continuous gravity measurements reveal a low-density lava lake at Kīlauea Volcano, Hawai‘i","docAbstract":"On 5 March 2011, the lava lake within the summit eruptive vent at Kīlauea Volcano, Hawai‘i, began to drain as magma withdrew to feed a dike intrusion and fissure eruption on the volcanoʼs east rift zone. The draining was monitored by a variety of continuous geological and geophysical measurements, including deformation, thermal and visual imagery, and gravity. Over the first ∼14 hours of the draining, the ground near the eruptive vent subsided by about 0.15 m, gravity dropped by more than 100 μGal, and the lava lake retreated by over 120 m. We used GPS data to correct the gravity signal for the effects of subsurface mass loss and vertical deformation in order to isolate the change in gravity due to draining of the lava lake alone. Using a model of the eruptive vent geometry based on visual observations and the lava level over time determined from thermal camera data, we calculated the best-fit lava density to the observed gravity decrease — to our knowledge, the first geophysical determination of the density of a lava lake anywhere in the world. Our result, 950 +/- 300 kg m<sup>-3</sup>, suggests a lava density less than that of water and indicates that Kīlaueaʼs lava lake is gas-rich, which can explain why rockfalls that impact the lake trigger small explosions. Knowledge of such a fundamental material property as density is also critical to investigations of lava-lake convection and degassing and can inform calculations of pressure change in the subsurface magma plumbing system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2013.06.024","usgsCitation":"Carbone, D., Poland, M., Patrick, M.R., and Orr, T., 2013, Continuous gravity measurements reveal a low-density lava lake at Kīlauea Volcano, Hawai‘i: Earth and Planetary Science Letters, v. 376, no. 15 August, p. 178-185, https://doi.org/10.1016/j.epsl.2013.06.024.","productDescription":"8 p.","startPage":"178","endPage":"185","numberOfPages":"8","ipdsId":"IP-048829","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":277225,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2013.06.024"},{"id":277228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.295439,19.388239 ], [ -155.295439,19.426125 ], [ -155.242481,19.426125 ], [ -155.242481,19.388239 ], [ -155.295439,19.388239 ] ] ] } } ] }","volume":"376","issue":"15 August","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5226f6dfe4b01904cf5a8143","contributors":{"authors":[{"text":"Carbone, Daniele","contributorId":38458,"corporation":false,"usgs":true,"family":"Carbone","given":"Daniele","affiliations":[],"preferred":false,"id":483365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":483362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":483363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orr, Tim R. torr@usgs.gov","contributorId":3766,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","email":"torr@usgs.gov","affiliations":[],"preferred":false,"id":483364,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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