{"pageNumber":"730","pageRowStart":"18225","pageSize":"25","recordCount":46883,"records":[{"id":98493,"text":"fs20103047 - 2010 - Estuaries of the Greater Everglades Ecosystem: Laboratories of Long-term Change","interactions":[],"lastModifiedDate":"2012-02-02T00:14:44","indexId":"fs20103047","displayToPublicDate":"2010-07-03T00:00:00","publicationYear":"2010","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":"2010-3047","title":"Estuaries of the Greater Everglades Ecosystem: Laboratories of Long-term Change","docAbstract":"Restoring the greater Everglades ecosystem of south Florida is arguably the largest ecosystem restoration effort to date. A critical goal is to return more natural patterns of flow through south Florida wetlands and into the estuaries, but development of realistic targets requires acknowledgement that ecosystems are constantly evolving and changing in response to a variety of natural and human-driven stressors.\r\n\r\nExamination of ecosystems over long periods of time requires analysis of sedimentary records, such as those deposited in the wetlands and estuaries of south Florida. As sediment accumulates, it preserves information about the animals and plants that lived in the environment and the physical, chemical, and climatic conditions present. One of the methods used to interpret this information is paleoecology-the study of the ecology of previously living organisms. \r\n\r\nPaleoecologic investigations of south Florida estuaries provide quantitative data on historical variability of salinity and trends that may be applied to statistical models to estimate historical freshwater flow. These data provide a unique context to estimate future ecosystem response to changes related to restoration activities and predicted changes in sea level and temperature, thus increasing the likelihood of successful and sustainable ecosystem restoration.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103047","usgsCitation":"Wingard, G., Hudley, J., and Marshall, F., 2010, Estuaries of the Greater Everglades Ecosystem: Laboratories of Long-term Change: U.S. Geological Survey Fact Sheet 2010-3047, 4 p., https://doi.org/10.3133/fs20103047.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":125855,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3047.jpg"},{"id":13879,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3047/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67eb16","contributors":{"authors":[{"text":"Wingard, G.L.","contributorId":79981,"corporation":false,"usgs":true,"family":"Wingard","given":"G.L.","email":"","affiliations":[],"preferred":false,"id":305517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudley, J.W.","contributorId":18872,"corporation":false,"usgs":true,"family":"Hudley","given":"J.W.","affiliations":[],"preferred":false,"id":305516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, F.E.","contributorId":103380,"corporation":false,"usgs":true,"family":"Marshall","given":"F.E.","email":"","affiliations":[],"preferred":false,"id":305518,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98489,"text":"ofr20101121 - 2010 - Detailed Sections from Auger Holes in the Emporia 1:100,000-Scale Quadrangle, North Carolina and Virginia","interactions":[],"lastModifiedDate":"2012-02-10T00:11:52","indexId":"ofr20101121","displayToPublicDate":"2010-07-03T00:00:00","publicationYear":"2010","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":"2010-1121","title":"Detailed Sections from Auger Holes in the Emporia 1:100,000-Scale Quadrangle, North Carolina and Virginia","docAbstract":"The Emporia 1:100,000-scale quadrangle straddles the Tidewater Fall Line in southern Virginia and includes a small part of northernmost North Carolina. Sediments of the coastal plain underlie the eastern three-fifths of this area. These sediments onlap crystalline basement rocks toward the west and dip gently to the east, reaching a maximum known thickness of 821 feet in the extreme southeastern part of the map area. The gentle eastward dip is disrupted in several areas due to faulting delineated during the course of mapping.\r\n\r\nIn order to produce a new geologic map of the Emporia 1:100,000-scale quadrangle, the U.S. Geological Survey drilled one corehole to a depth of 223 feet and augered 192 shallow research test holes (maximum depth 135 feet) to supplement sparse outcrop data available from the coastal plain part of the map area. The recovered sediments were studied and data from them recorded to determine the lithologic characteristics, spatial distribution, and temporal framework of the represented coastal plain stratigraphic units. These test holes were critical for accurately determining the distribution of major geologic units and the position of unit boundaries that will be shown on the forthcoming Emporia geologic map, but much of the detailed subsurface data cannot be shown readily through this map product. Therefore, the locations and detailed descriptions of the auger test holes and one corehole are provided in this open-file report for geologists, hydrologists, engineers, and community planners in need of a detailed shallow-subsurface stratigraphic framework for much of the Emporia map region. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101121","usgsCitation":"Weems, R.E., Schindler, J.S., and Lewis, W., 2010, Detailed Sections from Auger Holes in the Emporia 1:100,000-Scale Quadrangle, North Carolina and Virginia: U.S. Geological Survey Open-File Report 2010-1121, v, 288 p. , https://doi.org/10.3133/ofr20101121.","productDescription":"v, 288 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125849,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1121.jpg"},{"id":13875,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1121/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78,36.833333333333336 ], [ -78,37 ], [ -77,37 ], [ -77,36.833333333333336 ], [ -78,36.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db667dcd","contributors":{"authors":[{"text":"Weems, Robert E. 0000-0002-1907-7804 rweems@usgs.gov","orcid":"https://orcid.org/0000-0002-1907-7804","contributorId":2663,"corporation":false,"usgs":true,"family":"Weems","given":"Robert","email":"rweems@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":305499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schindler, J. Stephen 0000-0001-9550-5957 sschindl@usgs.gov","orcid":"https://orcid.org/0000-0001-9550-5957","contributorId":3270,"corporation":false,"usgs":true,"family":"Schindler","given":"J.","email":"sschindl@usgs.gov","middleInitial":"Stephen","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":305500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewis, William C.","contributorId":50878,"corporation":false,"usgs":true,"family":"Lewis","given":"William C.","affiliations":[],"preferred":false,"id":305501,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98491,"text":"sir20105081 - 2010 - Submarine groundwater discharge and fate along the coast of Kaloko-Honokohau National Historical Park, Island of Hawai`i: Part 3, spatial and temporal patterns in nearshore waters and coastal groundwater plumes, December 2003-April 2006","interactions":[],"lastModifiedDate":"2022-09-28T21:30:23.529114","indexId":"sir20105081","displayToPublicDate":"2010-07-03T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5081","title":"Submarine groundwater discharge and fate along the coast of Kaloko-Honokohau National Historical Park, Island of Hawai`i: Part 3, spatial and temporal patterns in nearshore waters and coastal groundwater plumes, December 2003-April 2006","docAbstract":"<p>During seven surveys between December 2003 and April 2006, 1,045 depth profiles of surface water temperature and salinity were collected to examine variability in water column properties and the influence of submarine groundwater discharge (SGD) on the nearshore waters and coral reef complex of Kaloko-Honokōhau National Historical Park, Island of Hawai‘i. This effort was made to characterize the variability in nearshore water properties with seasonality and hydrodynamic forcing (tides, winds, and waves) and to determine the spatial and vertical extent of influence of SGD plumes on the Park’s marine biological resources. The results of this study reveal that nearshore waters of the Park were persistently influenced by plumes of submarine groundwater discharge that are generally colder, less saline, and more concentrated in nutrients than the surrounding seawater. These plumes extended between 100 and 1,000 m offshore to depths ranging between 1 and 5 m and often contained several million to hundreds of millions of gallons of brackish water. In essence, the Park’s nearshore, like much of the arid west coast of Hawai‘i, is estuarine. Although the groundwater plumes were persistent over the years studied, their spatial extent and volume varied tidally, seasonally, and annually. In one season, April 2004, an inverse relation of decreasing salinity with increasing temperature was found in the upper 5 m of the water column, unlike the other seasons, when surface water temperature and salinity were positively correlated.</p><p>These data provide the first comprehensive record of nearshore water column properties within the Park boundaries and a baseline for detecting and assessing future conditions. Various resort, industrial, and municipal developments, either planned or under construction around the Park, will require significant groundwater supplies and will likely alter groundwater quantity and quality. The flux and quality of groundwater through the National Park are critical to the rare anchialine (brackish) pool ecosystems and various ecosystem functions of the nearshore waters and coral reefs. Changes in groundwater discharge are expected to have significant impacts to the area’s coastal ecosystems, including decreased freshwater outflow to the brackish anchialine pools and coral reefs and increased nutrient and contaminant concentrations. In conjunction with two complementary studies of this series (Parts 1 and 2), these data provide insight into the patterns of influence and fate of SGD in the Park’s coastal waters. This information is important for determining water-resource management strategies that balance the needs of the ecosystem with those of human livelihood. This report describes the data, presents the general findings, and gives representative examples of seasonal and tidal variability in water column properties and SGD-fed plumes across the Park’s nearshore waters.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105081","usgsCitation":"Grossman, E., Logan, J., Presto, M., and Storlazzi, C., 2010, Submarine groundwater discharge and fate along the coast of Kaloko-Honokohau National Historical Park, Island of Hawai`i: Part 3, spatial and temporal patterns in nearshore waters and coastal groundwater plumes, December 2003-April 2006: U.S. Geological Survey Scientific Investigations Report 2010-5081, vii, 76 p., https://doi.org/10.3133/sir20105081.","productDescription":"vii, 76 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":125852,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5081.jpg"},{"id":407560,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93390.htm","linkFileType":{"id":5,"text":"html"}},{"id":13877,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5081/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaloko-Honokohau National Historical Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.05117797851562,\n              19.666998154072363\n            ],\n            [\n              -156.01444244384766,\n              19.666998154072363\n            ],\n            [\n              -156.01444244384766,\n              19.70578884134168\n            ],\n            [\n              -156.05117797851562,\n              19.70578884134168\n            ],\n            [\n              -156.05117797851562,\n              19.666998154072363\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699bf2","contributors":{"authors":[{"text":"Grossman, Eric E.","contributorId":40677,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric E.","affiliations":[],"preferred":false,"id":305505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Logan, Joshua B.","contributorId":34470,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua B.","affiliations":[],"preferred":false,"id":305504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Presto, M. Katherine","contributorId":30192,"corporation":false,"usgs":true,"family":"Presto","given":"M. Katherine","affiliations":[],"preferred":false,"id":305503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":77889,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[],"preferred":false,"id":305506,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98495,"text":"ofr20101109 - 2010 - Neosho madtom and other ictalurid populations in relation to hydrologic characteristics of an impounded Midwestern warmwater stream: Update","interactions":[],"lastModifiedDate":"2022-08-23T21:24:19.961962","indexId":"ofr20101109","displayToPublicDate":"2010-07-03T00:00:00","publicationYear":"2010","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":"2010-1109","title":"Neosho madtom and other ictalurid populations in relation to hydrologic characteristics of an impounded Midwestern warmwater stream: Update","docAbstract":"<p><span>The Neosho madtom, </span><i>Noturus placidus</i><span>, is a small (less than 75 millimeters in total length) ictalurid that is native to the main stems of the Neosho and Cottonwood Rivers in Kansas and Oklahoma and the Spring River in Kansas and Missouri. The Neosho madtom was federally listed as threatened by the U.S. Fish and Wildlife Service in May 1990. The U.S. Fish and Wildlife Service has been monitoring Neosho madtoms since 1991, and questioned whether or not Neosho madtom densities were affected by other catfish species, reservoirs, and hydrologic characteristics. Using the first 8 years of U.S. Fish and Wildlife Service monitoring data, Wildhaber and others (2000) analyzed whether or not Neosho madtom densities were related to these environmental characteristics. The goal of this report is to update these results with data from 1999 to 2008. The trends of Neosho madtom densities in respect to John Redmond Reservoir and other catfish species remains consistent with the previous report. In both the Neosho and Spring Rivers, Neosho madtoms had a significant positive association with all catfish species. Of those species tested, only in the population of Neosho madtoms were significantly different in density above verses below the John Redmond Reservoir after accounting for the yearly variation. The average density of Neosho madtoms at the streamgage immediately below the reservoir had the second lowest density compared to the other streamgages. The positive associations with Neosho madtoms that remained consistent from the previous report included the 1-, 3-, and 7-day minima discharges and the annual minimum discharge from the previous water year (water year prior to when the fish were sampled) and the 1-, 3-, 7-, and 30-day minima discharges from the current water year (same water year fish were sampled).</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101109","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Bryan, J.L., Wildhaber, M.L., Leeds, W.B., and Dey, R., 2010, Neosho madtom and other ictalurid populations in relation to hydrologic characteristics of an impounded Midwestern warmwater stream: Update: U.S. Geological Survey Open-File Report 2010-1109, v, 20 p., https://doi.org/10.3133/ofr20101109.","productDescription":"v, 20 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":125853,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1109.jpg"},{"id":341600,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1109/pdf/OFR2010-1109.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}},{"id":13881,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1109/","linkFileType":{"id":5,"text":"html"}},{"id":405504,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93391.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Kansas, Missouri, Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.8333,\n              36.5\n            ],\n            [\n              -94,\n              36.5\n            ],\n            [\n              -94,\n              38.6667\n            ],\n            [\n              -96.8333,\n              38.6667\n            ],\n            [\n              -96.8333,\n              36.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db697952","contributors":{"authors":[{"text":"Bryan, Janice L.","contributorId":58589,"corporation":false,"usgs":true,"family":"Bryan","given":"Janice","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":305525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":305523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leeds, William B.","contributorId":45563,"corporation":false,"usgs":true,"family":"Leeds","given":"William","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":305524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dey, Rima","contributorId":81210,"corporation":false,"usgs":true,"family":"Dey","given":"Rima","email":"","affiliations":[],"preferred":false,"id":305526,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048508,"text":"70048508 - 2010 - Occurrence of herbicides and pharmaceutical and personal care products in surface water and groundwater around Liberty Bay, Puget Sound, Washington","interactions":[],"lastModifiedDate":"2014-08-20T08:49:11","indexId":"70048508","displayToPublicDate":"2010-07-01T13:43:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence of herbicides and pharmaceutical and personal care products in surface water and groundwater around Liberty Bay, Puget Sound, Washington","docAbstract":"Organic contaminants, such as pharmaceuticals and personal care products (PPCPs), pose a risk to water quality and the health of ecosystems. This study was designed to determine if a coastal community lacking point sources, such as waste water treatment plant effluent, could release PPCPs, herbicides, and plasticizers at detectable levels to their surface water and groundwater. Research was conducted in Liberty Bay, an embayment within Puget Sound, where 70% of the population (∼10,000) uses septic systems. Sampling included collection of groundwater and surface water with grab samples and the use of polar organic chemical integrative samplers (POCIS). We analyzed for a broad spectrum of 25 commonly used compounds, including PPCPs, herbicides, and a flame retardant. Twelve contaminants were detected at least once; only N,N-diethyl-meta-toluamide, caffeine, and mecoprop, a herbicide not attributed to septic systems, were detected in more than one grab sample. The use of POCIS was essential because contaminants were present at very low levels (nanograms), which is common for PPCPs in general, but particularly so in such a small community. The use of POCIS allowed the detection of five compounds that were not present in grab samples. Data suggest that the community is contaminating local water with PPCPs; this effect is likely to increase as the population and product usage increase. The results presented here are a first step toward assessing the transport of herbicides and PPCPs into this coastal system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Agronomy","doi":"10.2134/jeq2009.0189","usgsCitation":"Dougherty, J.A., Swarzenski, P.W., Dinicola, R., and Reinhard, M., 2010, Occurrence of herbicides and pharmaceutical and personal care products in surface water and groundwater around Liberty Bay, Puget Sound, Washington: Journal of Environmental Quality, v. 39, no. 4, p. 1173-1180, https://doi.org/10.2134/jeq2009.0189.","productDescription":"8 p.","startPage":"1173","endPage":"1180","numberOfPages":"8","ipdsId":"IP-021878","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":488158,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2009.0189","text":"Publisher Index Page"},{"id":278273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278272,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2009.0189"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.66,47.68 ], [ -122.66,47.76 ], [ -122.56,47.76 ], [ -122.56,47.68 ], [ -122.66,47.68 ] ] ] } } ] }","volume":"39","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52625867e4b079a99629a10c","contributors":{"authors":[{"text":"Dougherty, Jennifer A.","contributorId":6114,"corporation":false,"usgs":true,"family":"Dougherty","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinicola, Richard S. 0000-0003-4222-294X dinicola@usgs.gov","orcid":"https://orcid.org/0000-0003-4222-294X","contributorId":352,"corporation":false,"usgs":true,"family":"Dinicola","given":"Richard S.","email":"dinicola@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reinhard, Martin","contributorId":87060,"corporation":false,"usgs":true,"family":"Reinhard","given":"Martin","affiliations":[],"preferred":false,"id":484883,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70056500,"text":"70056500 - 2010 - Effects of climate change on saltwater intrusion at Hilton Head Island, SC. U.S.A.","interactions":[],"lastModifiedDate":"2014-05-28T12:48:43","indexId":"70056500","displayToPublicDate":"2010-07-01T12:41:17","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effects of climate change on saltwater intrusion at Hilton Head Island, SC. U.S.A.","docAbstract":"Sea‐level rise and changes in precipitation patterns may contribute to the occurrence and affect the rate of saltwater contamination in the Hilton Head Island, South Carolina area. To address the effects of climate change on saltwater intrusion, a threedimensional, finite‐element, variable‐density, solute‐transport model was developed to simulate different rates of sea‐level rise and variation in onshore freshwater recharge. Model simulation showed that the greatest effect on the existing saltwater plume occurred from reducing recharge, suggesting recharge may be a more important consideration in saltwater intrusion management than estimated rates of sea‐level rise. Saltwater intrusion management would benefit from improved constraints on recharge rates by using model‐independent, local precipitation and evapotranspiration data, and improving estimates of confining unit hydraulic properties.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 21st Salt Water Intrusion Meeting, Azores, Portugal, 2010","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","usgsCitation":"Payne, D.F., 2010, Effects of climate change on saltwater intrusion at Hilton Head Island, SC. U.S.A., <i>in</i> Proceedings of the 21st Salt Water Intrusion Meeting, Azores, Portugal, 2010, p. 293-296.","productDescription":"4 p.","startPage":"293","endPage":"296","numberOfPages":"4","ipdsId":"IP-021028","costCenters":[{"id":286,"text":"Florida Water Science Center-Ft. Lauderdale","active":false,"usgs":true}],"links":[{"id":287673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279230,"type":{"id":15,"text":"Index Page"},"url":"https://www.swim-site.nl/pdf/swim21.html"}],"country":"United States","state":"South Carolina","otherGeospatial":"Hilton Head Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.947831,32.034511 ], [ -80.947831,32.370965 ], [ -80.599917,32.370965 ], [ -80.599917,32.034511 ], [ -80.947831,32.034511 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53870567e4b0aa26cd7b539e","contributors":{"authors":[{"text":"Payne, Dorothy F.","contributorId":88825,"corporation":false,"usgs":true,"family":"Payne","given":"Dorothy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":486572,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70201008,"text":"70201008 - 2010 - Visible and near-infrared multispectral analysis of geochemically measured rock fragments at the Opportunity landing site in Meridiani Planum","interactions":[],"lastModifiedDate":"2018-11-20T10:24:57","indexId":"70201008","displayToPublicDate":"2010-07-01T10:24:16","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Visible and near-infrared multispectral analysis of geochemically measured rock fragments at the Opportunity landing site in Meridiani Planum","docAbstract":"<p><span>We have used visible and near‐infrared Panoramic Camera (Pancam) spectral data acquired by the Opportunity rover to analyze 15 rock fragments at the Meridiani Planum landing site. These spectral results were then compared to geochemistry measurements made by the in situ instruments Mössbauer (MB) and Alpha Particle X‐ray Spectrometer (APXS) to determine the feasibility of mineralogic characterization from Pancam data. Our results suggest that dust and alteration rinds coat many rock fragments, which limits our ability to adequately measure the mineralogy of some rocks from Pancam spectra relative to the different field of view and penetration depths of MB and APXS. Viewing and lighting geometry, along with sampling size, also complicate the spectral characterization of the rocks. Rock fragments with the same geochemistry of sulfate‐rich outcrops have similar spectra, although the sulfate‐rich composition cannot be ascertained based upon Pancam spectra alone. FeNi meteorites have spectral characteristics, particularly ferric oxide coatings, that generally differentiate them from other rocks at the landing site. Stony meteorites and impact fragments with unknown compositions have a diverse range of spectral properties and are not well constrained nor diagnostic in Pancam data. Bounce Rock, with its unique basalt composition, is easily differentiated in the Pancam data from all other rock types at Meridiani Planum. Our Pancam analyses of small pebbles adjacent to these 15 rock fragments suggests that other rock types may exist at the landing site but have not yet been geochemically measured.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JE003660","usgsCitation":"Weitz, C.M., Farrand, W., Johnson, J.R., Fleischer, I., Schroder, C., Yingst, A., Jolliff, B.L., Gellert, R., Bell, J., Herkenhoff, K.E., Klingelhoefer, G., Cohen, B., Calvin, W.M., Rutherford, M., and Ashley, J.W., 2010, Visible and near-infrared multispectral analysis of geochemically measured rock fragments at the Opportunity landing site in Meridiani Planum: Journal of Geophysical Research E: Planets, v. 115, no. E7, 29 p., https://doi.org/10.1029/2010JE003660.","productDescription":"29 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":475698,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010je003660","text":"Publisher Index Page"},{"id":359595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Meridiani Planum, Mars","volume":"115","issue":"E7","noUsgsAuthors":false,"publicationDate":"2010-11-20","publicationStatus":"PW","scienceBaseUri":"5bf52b6be4b045bfcae28016","contributors":{"authors":[{"text":"Weitz, Catherine M.","contributorId":210511,"corporation":false,"usgs":false,"family":"Weitz","given":"Catherine","email":"","middleInitial":"M.","affiliations":[{"id":13179,"text":"Planetary Science 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Christian","contributorId":210745,"corporation":false,"usgs":false,"family":"Schroder","given":"Christian","email":"","affiliations":[{"id":27418,"text":"Department of Hydrology, University of Bayreuth, Universitätsstrasse 30, 95447 Bayreuth, Germany","active":true,"usgs":false}],"preferred":false,"id":751655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yingst, Aileen","contributorId":172313,"corporation":false,"usgs":false,"family":"Yingst","given":"Aileen","email":"","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":751656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jolliff, Bradley L.","contributorId":40040,"corporation":false,"usgs":true,"family":"Jolliff","given":"Bradley","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":751657,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gellert, 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G.","contributorId":29177,"corporation":false,"usgs":true,"family":"Klingelhoefer","given":"G.","email":"","affiliations":[],"preferred":false,"id":751661,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cohen, Barbara","contributorId":210750,"corporation":false,"usgs":false,"family":"Cohen","given":"Barbara","affiliations":[{"id":16239,"text":"NASA Marshall Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":751662,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Calvin, Wendy M.","contributorId":93508,"corporation":false,"usgs":true,"family":"Calvin","given":"Wendy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":751663,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rutherford, Malcolm","contributorId":210751,"corporation":false,"usgs":false,"family":"Rutherford","given":"Malcolm","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":751664,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ashley, James W.","contributorId":102523,"corporation":false,"usgs":false,"family":"Ashley","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":751665,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70179289,"text":"70179289 - 2010 - Hydraulic alterations resulting from hydropower development in the Bonneville Reach of the Columbia River","interactions":[],"lastModifiedDate":"2016-12-27T12:42:57","indexId":"70179289","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Hydraulic alterations resulting from hydropower development in the Bonneville Reach of the Columbia River","docAbstract":"<p><span>We used a two-dimensional (2D) hydrodynamic model to simulate and compare the hydraulic characteristics in a 74-km reach of the Columbia River (the Bonneville Reach) before and after construction of Bonneville Dam. For hydrodynamic modeling, we created a bathymetric layer of the Bonneville Reach from single-beam and multi-beam echo-sounder surveys, digital elevation models, and navigation surveys. We calibrated the hydrodynamic model at 100 and 300 kcfs with a user-defined roughness layer, a variable-sized mesh, and a U.S. Army Corps of Engineers backwater curve. We verified the 2D model with acoustic Doppler current profiler (ADCP) data at 14 transects and three flows. The 2D model was 88% accurate for water depths, and 77% accurate for velocities. We verified a pre-dam 2D model run at 126 kcfs using pre-dam aerial photos from September 1935. Hydraulic simulations indicated that mean water depths in the Bonneville Reach increased by 34% following dam construction, while mean velocities decreased by 58%. There are numerous activities that would benefit from data output from the 2D model, including biological sampling, bioenergetics, and spatially explicit habitat modeling.</span></p>","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.084.0301","usgsCitation":"Hatten, J.R., and Batt, T.R., 2010, Hydraulic alterations resulting from hydropower development in the Bonneville Reach of the Columbia River: Northwest Science, v. 84, no. 3, p. 207-222, https://doi.org/10.3955/046.084.0301.","productDescription":"16 p. ","startPage":"207","endPage":"222","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Bonneville Reach","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.89125061035155,\n              45.66252677926093\n            ],\n            [\n              -121.82876586914061,\n              45.68459713847793\n            ],\n            [\n              -121.79992675781249,\n              45.689873543553325\n            ],\n            [\n              -121.71409606933594,\n              45.68459713847793\n            ],\n            [\n              -121.64199829101561,\n              45.69419023205748\n            ],\n            [\n              -121.51840209960936,\n              45.70713829853575\n            ],\n            [\n              -121.46690368652344,\n              45.69083283645816\n            ],\n            [\n              -121.41746520996094,\n              45.67788099401186\n            ],\n            [\n              -121.37489318847656,\n              45.69227174496596\n            ],\n            [\n              -121.3336944580078,\n              45.693710616454496\n            ],\n            [\n              -121.29524230957031,\n              45.67692147898962\n            ],\n            [\n              -121.23207092285156,\n              45.65724779513408\n            ],\n            [\n              -121.21009826660155,\n              45.627484212338246\n            ],\n            [\n              -121.19842529296875,\n              45.59770481736448\n            ],\n            [\n              -121.15310668945312,\n              45.59049774946348\n            ],\n            [\n              -121.09130859375,\n              45.622682153628226\n            ],\n            [\n              -121.08032226562499,\n              45.64092778836502\n            ],\n            [\n              -121.08924865722656,\n              45.655328041141374\n            ],\n            [\n              -121.13456726074219,\n              45.627484212338246\n            ],\n            [\n              -121.1743927001953,\n              45.620280970017625\n            ],\n            [\n              -121.19979858398438,\n              45.66876493700009\n            ],\n            [\n              -121.2615966796875,\n              45.69802700880466\n            ],\n            [\n              -121.33987426757812,\n              45.71672752568247\n            ],\n            [\n              -121.42433166503905,\n              45.708576787494145\n            ],\n            [\n              -121.5039825439453,\n              45.732546153514406\n            ],\n            [\n              -121.60629272460938,\n              45.73158757630444\n            ],\n            [\n              -121.68869018554686,\n              45.71672752568247\n            ],\n            [\n              -121.77864074707031,\n              45.7176863579072\n            ],\n            [\n              -121.82395935058594,\n              45.722000899316875\n            ],\n            [\n              -121.90361022949219,\n              45.691792112909965\n            ],\n            [\n              -121.92420959472655,\n              45.66972459187521\n            ],\n            [\n              -121.91802978515625,\n              45.65964739507404\n            ],\n            [\n              -121.8939971923828,\n              45.655328041141374\n            ],\n            [\n              -121.89125061035155,\n              45.66252677926093\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58638bd4e4b0cd2dabe7beb4","contributors":{"authors":[{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batt, Thomas R. tbatt@usgs.gov","contributorId":3432,"corporation":false,"usgs":true,"family":"Batt","given":"Thomas","email":"tbatt@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656657,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70169301,"text":"70169301 - 2010 - Calibrating recruitment estimates for mourning doves from harvest age ratios","interactions":[],"lastModifiedDate":"2016-03-24T11:40:55","indexId":"70169301","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Calibrating recruitment estimates for mourning doves from harvest age ratios","docAbstract":"<p><span>We examined results from the first national-scale effort to estimate mourning dove (</span><i>Zenaida macroura</i><span>) age ratios and developed a simple, efficient, and generalizable methodology for calibrating estimates. Our method predicted age classes of unknown-age wings based on backward projection of molt distributions from fall harvest collections to preseason banding. We estimated 1) the proportion of late-molt individuals in each age class, and 2) the molt rates of juvenile and adult birds. Monte Carlo simulations demonstrated our estimator was minimally biased. We estimated model parameters using 96,811 wings collected from hunters and 42,189 birds banded during preseason from 68 collection blocks in 22 states during the 2005&ndash;2007 hunting seasons. We also used estimates to derive a correction factor, based on latitude and longitude of samples, which can be applied to future surveys. We estimated differential vulnerability of age classes to harvest using data from banded birds and applied that to harvest age ratios to estimate population age ratios. Average, uncorrected age ratio of known-age wings for states that allow hunting was 2.25 (SD 0.85) juveniles:adult, and average, corrected ratio was 1.91 (SD 0.68), as determined from harvest age ratios from an independent sample of 41,084 wings collected from random hunters in 2007 and 2008. We used an independent estimate of differential vulnerability to adjust corrected harvest age ratios and estimated the average population age ratio as 1.45 (SD 0.52), a direct measure of recruitment rates. Average annual recruitment rates were highest east of the Mississippi River and in the northwestern United States, with lower rates between. Our results demonstrate a robust methodology for calibrating recruitment estimates for mourning doves and represent the first large-scale estimates of recruitment for the species. Our methods can be used by managers to correct future harvest survey data to generate recruitment estimates for use in formulating harvest management strategies.</span></p>","language":"English","publisher":"Wiley","doi":"10.2193/2009-409","usgsCitation":"Miller, D.A., and Otis, D.L., 2010, Calibrating recruitment estimates for mourning doves from harvest age ratios: Journal of Wildlife Management, v. 74, no. 5, p. 1070-1078, https://doi.org/10.2193/2009-409.","productDescription":"9 p.","startPage":"1070","endPage":"1078","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-016350","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":319361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"56f50fb1e4b0f59b85e1eaa2","contributors":{"authors":[{"text":"Miller, David A.","contributorId":29193,"corporation":false,"usgs":false,"family":"Miller","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":623492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otis, David L.","contributorId":78455,"corporation":false,"usgs":true,"family":"Otis","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":623621,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178328,"text":"70178328 - 2010 - Delineating a road-salt plume in lakebed sediments using electrical resistivity, piezometers, and seepage meters at Mirror Lake, New Hampshire, U.S.A","interactions":[],"lastModifiedDate":"2016-11-14T13:05:40","indexId":"70178328","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Delineating a road-salt plume in lakebed sediments using electrical resistivity, piezometers, and seepage meters at Mirror Lake, New Hampshire, U.S.A","docAbstract":"<p><span>Electrical-resistivity surveys, seepage meter measurements, and drive-point piezometers have been used to characterize chloride-enriched groundwater in lakebed sediments of Mirror Lake, New Hampshire, U.S.A. A combination of bottom-cable and floating-cable electrical-resistivity surveys identified a conductive zone </span><span id=\"inline-formula-1\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M1&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mo>(</mo><mo>&amp;lt;</mo><mn>100</mn><mspace width=&quot;0.3em&quot; /><mtext>ohm-</mtext><mi mathvariant=&quot;normal&quot;>m</mi><mo>)</mo></mrow></math>\"><span id=\"M1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow\"><span id=\"MathJax-Span-4\" class=\"mo\">(</span><span id=\"MathJax-Span-5\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-6\" class=\"mn\">100</span><span id=\"MathJax-Span-7\" class=\"mspace\"></span><span id=\"MathJax-Span-8\" class=\"mtext\">ohm-</span><span id=\"MathJax-Span-9\" class=\"mi\">m</span><span id=\"MathJax-Span-10\" class=\"mo\">)</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">(&lt;100ohm-m)</span></span></span></span><span> overlying resistive bedrock </span><span id=\"inline-formula-2\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M2&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mo>(</mo><mo>&amp;lt;</mo><mn>1000</mn><mspace width=&quot;0.3em&quot; /><mtext>ohm-</mtext><mi mathvariant=&quot;normal&quot;>m</mi><mo>)</mo></mrow></math>\"><span id=\"M2\" class=\"math\"><span><span><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"mrow\"><span id=\"MathJax-Span-14\" class=\"mo\">(</span><span id=\"MathJax-Span-15\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-16\" class=\"mn\">1000</span><span id=\"MathJax-Span-17\" class=\"mspace\"></span><span id=\"MathJax-Span-18\" class=\"mtext\">ohm-</span><span id=\"MathJax-Span-19\" class=\"mi\">m</span><span id=\"MathJax-Span-20\" class=\"mo\">)</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">(&lt;1000ohm-m)</span></span></span></span><span>beneath the lake. Shallow pore-water samples from piezometers in lakebed sediments have chloride concentrations of </span><span id=\"inline-formula-3\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M3&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mn>200</mn><mo>&amp;#x2013;</mo><mn>1800</mn><mspace width=&quot;0.3em&quot; /><mi>&amp;#x3BC;</mi><mi>eq</mi><mo>/</mo><mtext>liter</mtext></mrow></math>\"><span id=\"M3\" class=\"math\"><span><span><span id=\"MathJax-Span-22\" class=\"mrow\"><span id=\"MathJax-Span-23\" class=\"mrow\"><span id=\"MathJax-Span-24\" class=\"mn\">200</span><span id=\"MathJax-Span-25\" class=\"mo\">–</span><span id=\"MathJax-Span-26\" class=\"mn\">1800</span><span id=\"MathJax-Span-27\" class=\"mspace\"></span><span id=\"MathJax-Span-28\" class=\"mi\">μ</span><span id=\"MathJax-Span-29\" class=\"mi\">eq</span><span id=\"MathJax-Span-30\" class=\"mo\">/</span><span id=\"MathJax-Span-31\" class=\"mtext\">liter</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">200–1800μeq/liter</span></span></span></span><span>, and lake water has a chloride concentration of </span><span id=\"inline-formula-4\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M4&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mn>104</mn><mspace width=&quot;0.3em&quot; /><mi>&amp;#x3BC;</mi><mi>eq</mi><mo>/</mo><mtext>liter</mtext></mrow></math>\"><span id=\"M4\" class=\"math\"><span><span><span id=\"MathJax-Span-33\" class=\"mrow\"><span id=\"MathJax-Span-34\" class=\"mrow\"><span id=\"MathJax-Span-35\" class=\"mn\">104</span><span id=\"MathJax-Span-36\" class=\"mspace\"></span><span id=\"MathJax-Span-37\" class=\"mi\">μ</span><span id=\"MathJax-Span-38\" class=\"mi\">eq</span><span id=\"MathJax-Span-39\" class=\"mo\">/</span><span id=\"MathJax-Span-40\" class=\"mtext\">liter</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">104μeq/liter</span></span></span></span><span>. The extent of the plume was estimated and mapped using resistivity and water-sample data. The plume (</span><span id=\"inline-formula-5\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M5&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mn>20</mn><mo>&amp;#xD7;</mo><mn>35</mn><mspace width=&quot;0.3em&quot; /><mi mathvariant=&quot;normal&quot;>m</mi></mrow></math>\"><span id=\"M5\" class=\"math\"><span><span><span id=\"MathJax-Span-42\" class=\"mrow\"><span id=\"MathJax-Span-43\" class=\"mrow\"><span id=\"MathJax-Span-44\" class=\"mn\">20</span><span id=\"MathJax-Span-45\" class=\"mo\">×</span><span id=\"MathJax-Span-46\" class=\"mn\">35</span><span id=\"MathJax-Span-47\" class=\"mspace\"></span><span id=\"MathJax-Span-48\" class=\"mi\">m</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">20×35m</span></span></span></span><span> wide and at least </span><span id=\"inline-formula-6\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-6-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M6&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mn>3</mn><mspace width=&quot;0.3em&quot; /><mi mathvariant=&quot;normal&quot;>m</mi></mrow></math>\"><span id=\"M6\" class=\"math\"><span><span><span id=\"MathJax-Span-50\" class=\"mrow\"><span id=\"MathJax-Span-51\" class=\"mrow\"><span id=\"MathJax-Span-52\" class=\"mn\">3</span><span id=\"MathJax-Span-53\" class=\"mspace\"></span><span id=\"MathJax-Span-54\" class=\"mi\">m</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">3m</span></span></span></span><span> thick) extends nearly the full length and width of a small inlet, overlying the top of a basin formed by the bedrock. It would not have been possible to mapthe plume's shape without the resistivity surveys because wells provided only limited coverage. Seepage meters were installed approximately </span><span id=\"inline-formula-7\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-7-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M7&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mn>40</mn><mspace width=&quot;0.3em&quot; /><mi mathvariant=&quot;normal&quot;>m</mi></mrow></math>\"><span id=\"M7\" class=\"math\"><span><span><span id=\"MathJax-Span-56\" class=\"mrow\"><span id=\"MathJax-Span-57\" class=\"mrow\"><span id=\"MathJax-Span-58\" class=\"mn\">40</span><span id=\"MathJax-Span-59\" class=\"mspace\"></span><span id=\"MathJax-Span-60\" class=\"mi\">m</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">40m</span></span></span></span><span> from the mouth of a small stream discharging at the head of the inlet in an area where the resistivity data indicated lake sediments are thin. These meters recorded in-seepage of chloride-enriched groundwater at rates similar to those observed closer to shore, which was unexpected because seepage usually declines away from shore. Although the concentration of road salt in the northeast inlet stream is declining, the plume map and seepage data indicate the groundwater contribution of road salt to the lake is not declining. The findings demonstrate the benefit of combining geophysical and hydrologic data to characterize discharge of a plume beneath Mirror Lake. The extent of the plume in groundwater beneath the lake and stream indicate there will likely be a long-term source of chloride to the lake from groundwater.</span></p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3467505","usgsCitation":"Toran, L., Johnson, M., Nyquist, J.E., and Rosenberry, D.O., 2010, Delineating a road-salt plume in lakebed sediments using electrical resistivity, piezometers, and seepage meters at Mirror Lake, New Hampshire, U.S.A: Geophysics, v. 75, no. 4, p. WA75-WA83, https://doi.org/10.1190/1.3467505.","productDescription":"9 p.","startPage":"WA75","endPage":"WA83","numberOfPages":"9","ipdsId":"IP-016831","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":330977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire","otherGeospatial":"Mirror Lake","volume":"75","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582adb46e4b0c253bdfff0c0","contributors":{"authors":[{"text":"Toran, Laura","contributorId":81622,"corporation":false,"usgs":false,"family":"Toran","given":"Laura","email":"","affiliations":[{"id":34225,"text":"Temple University, Philadelphia, Pa.","active":true,"usgs":false}],"preferred":false,"id":653605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Melanie","contributorId":176824,"corporation":false,"usgs":false,"family":"Johnson","given":"Melanie","email":"","affiliations":[],"preferred":false,"id":653606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nyquist, Jonathan E.","contributorId":101801,"corporation":false,"usgs":false,"family":"Nyquist","given":"Jonathan","email":"","middleInitial":"E.","affiliations":[{"id":34225,"text":"Temple University, Philadelphia, Pa.","active":true,"usgs":false}],"preferred":false,"id":653604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":653603,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156674,"text":"70156674 - 2010 - Discriminating silt-and-clay from suspended-sand in rivers using side-looking acoustic profilers","interactions":[],"lastModifiedDate":"2021-11-09T16:59:09.052305","indexId":"70156674","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Discriminating silt-and-clay from suspended-sand in rivers using side-looking acoustic profilers","docAbstract":"<p><span>The ability to accurately monitor suspended-sediment flux in rivers is needed to support many types of studies, because the sediment that typically travels in suspension affects geomorphology and aquatic habitat in a variety of ways (e.g. bank and floodplain deposition, bar morphology, light penetration and primary productivity, tidal wetland deposition in the context of sea-level rise, sediment-associated contaminants, reservoir sedimentation and potential erosion during dam removal, among others). In addition, human-induced changes to the landscape have resulted in substantially altered suspended-sediment loads (Syvitski et al., 2005). Thus, accurate monitoring of suspended-sediment flux is necessary for informed resource management of rivers. Because of this need, a variety of techniques have been developed and applied for suspendedsediment monitoring. The traditional approach in the United States, which was developed and has been used extensively by the U.S. Geological Survey (USGS), is to collect an isokinetic, velocity-weighted sample from a river cross-section, analyze the sample in the laboratory, and use water-discharge records to compute a record of suspended-sediment flux (Guy, 1969, Guy, 1970, Edwards and Glysson, 1999, Porterfield, 1972). The labor and expense associated with this traditional approach is substantial such that the number of USGS gages reporting daily records of suspended-sediment flux decreased from 364 in 1981 to 120 in 2003 (Osterkamp et al., 2004). Also, the traditional sampling approach is limited with respect to the temporal resolution that can be achieved, thus requiring the use of approximate relations between suspended-sediment concentration and water discharge to fill gaps between samples. To address these limitations, several indirect or \"surrogate\" measures have been investigated (see e.g. Gray and Gartner, 2009) most notably optical backscatter (i.e. turbidity), laser-diffraction, and acoustic backscatter. These indirect techniques rely on measurements of ancillary properties that correlate with suspended-sediment concentration and particle size and thus require the collection of traditional samples for calibration. Through in situ deployments, these methods can provide the high temporal resolution that cannot be achieved through traditional sampling. Here we focus on the evaluation of acoustic profiling techniques (e.g. acoustic-Doppler sideways-looking profilers, or ADPs). One major advantage of acoustic profiling is the ability to concurrently measure water velocity (using Doppler-shift methods) and suspended-sediment concentration such that suspended-sediment flux can be directly computed using data from a single instrument. Acoustic-Doppler profilers have become popular for measuring water velocity and discharge in rivers, through both moving-boat operations and from fixed deployments such as bank-mounted sideways-looking instruments (Hirsch and Costa, 2004, Muste et al., 2007). The method presented herein is most suited to sideways-looking applications as a complement to the \"index velocity\" technique, whereby an index velocity from a sideways-looking instrument is related to the cross-section average velocity (determined from moving-boat discharge measurements) as a means for developing a continuous water-discharge record (Ruhl and Simpson, 2005). Topping et al. (2007) presented a method for discriminating silt-and-clay from suspended sand, using single frequency ADPs. This method takes advantage of the relations among acoustic backscatter, sediment-induced acoustic attenuation, suspended-sediment concentration (SSC), and particle size distribution (PSD). Backscatter is the amount of sound scattered back and received at the transducer while sediment-induced attenuation is the amount of sound scattered in other directions and absorbed by the sediment particles. Both of these parameters can be measured with an ADP, and their different dependencies on SSC and PSD allow for the discrimination of suspended silt-and-clay from suspended sand. Topping et al. (2007) describe application of the method at several sites along the Colorado River in Grand Canyon, and herein we present an example application of the technique for the Gunnison River, CO. However, the methods general applicability in rivers has yet to be evaluated due to a lack of concurrent acoustic and sediment data at a range of sites. To this end, the objective of the analysis presented herein is to evaluate the potential general applicability of the method, drawing from the extensive USGS database on SSC and PSD. We refer to it as \"potential\" general applicability because it relies on the theory underlying the previous empirical results. Use of the theoretical relations is necessary due to the lack of concurrent ADP and SSC/PSD data, but also serves the additional purpose of providing further justification of the empirical calibrations developed for the Colorado and Gunnison Rivers.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues","conferenceDate":"June 27-July 1 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Wright, S., Topping, D.J., and Williams, C.A., 2010, Discriminating silt-and-clay from suspended-sand in rivers using side-looking acoustic profilers, <i>in</i> Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues, Las Vegas, Nevada, June 27-July 1 2010, 12 p.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010590","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":307470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dd91b1e4b0518e354dd150","contributors":{"authors":[{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":569906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":569907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":569908,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156662,"text":"70156662 - 2010 - Climate change and climate systems influence and control the atmospheric dispersion of desert dust: implications for human health","interactions":[],"lastModifiedDate":"2017-05-04T10:51:29","indexId":"70156662","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Climate change and climate systems influence and control the atmospheric dispersion of desert dust: implications for human health","docAbstract":"<p><span>The global dispersion of desert dust through Earth&rsquo;s atmosphere is greatly influenced by temperature. Temporal analyses of ice core data have demonstrated that enhanced dust dispersion occurs during glacial events. This is due to an increase in ice cover, which results in an increase in drier terrestrial cover. A shorter temporal analysis of dust dispersion data over the last 40 years has demonstrated an increase in dust transport. Climate systems or events such as the North Atlantic Oscillation, the Indian Ocean subtropical High, Pacific Decadal Oscillation, and El Nino-Sothern Oscillation are known to influence global short-term dust dispersion occurrence and transport routes. Anthropogenic influences on dust transport include deforestation, harmful use of topsoil for agriculture as observed during the American Dust Bowl period, and the creation of dry seas (Aral Sea) and lakes (Lake Owens in California and Lake Chad in North Africa) through the diversion of source waters (for irrigation and drinking water supplies). Constituents of desert dust both from source regions (pathogenic microorganisms, organic and inorganic toxins) and those scavenged through atmospheric transport (i.e., industrial and agricultural emissions) are known to directly impact human and ecosystem health. This presentation will present a review of global scale dust storms and how these events can be both a detriment and benefit to various organisms in downwind environments.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"International Seminar on Nuclear War and Planetary Emergencies 42nd session","conferenceTitle":"International Seminar on Nuclear War and Planetary Emergencies 42nd session","conferenceDate":"August 19-24 2009","conferenceLocation":"Erice, Italy","language":"English","publisher":"World Scientific","doi":"10.1142/9789814327503_0046","usgsCitation":"Griffin, D.W., 2010, Climate change and climate systems influence and control the atmospheric dispersion of desert dust: implications for human health, <i>in</i> International Seminar on Nuclear War and Planetary Emergencies 42nd session, Erice, Italy, August 19-24 2009, p. 503-507, https://doi.org/10.1142/9789814327503_0046.","productDescription":"5 p.","startPage":"503","endPage":"507","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-015745","costCenters":[{"id":5052,"text":"FLWSC-Tallahassee","active":true,"usgs":true}],"links":[{"id":307448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-01-26","publicationStatus":"PW","scienceBaseUri":"57fe8262e4b0824b2d1485a5","contributors":{"editors":[{"text":"Ragaini, Richard C.","contributorId":147012,"corporation":false,"usgs":false,"family":"Ragaini","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":569850,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":569849,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70209303,"text":"70209303 - 2010 - New York-Alabama lineament: A buried right-slip fault bordering the Appalachians and mid-continent North America","interactions":[],"lastModifiedDate":"2020-03-27T13:37:26","indexId":"70209303","displayToPublicDate":"2010-06-30T13:26:46","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"New York-Alabama lineament: A buried right-slip fault bordering the Appalachians and mid-continent North America","docAbstract":"<p><span>The&nbsp;</span><span class=\"ScopusTermHighlight\">New</span><span>&nbsp;York-Alabama (NY-AL)&nbsp;</span><span class=\"ScopusTermHighlight\">lineament</span><span>, recognized in 1978, is a magnetic anomaly that delineates a fundamental though historically enigmatic crustal boundary in eastern North America that is deeply buried beneath the Appalachian basin. Data not in the original aeromagnetic data set, particularly the lack of any information available at the time to constrain the southern continuation of the anomaly southwest of Tennessee, left the source of the&nbsp;</span><span class=\"ScopusTermHighlight\">lineament</span><span>&nbsp;open to conjecture. We use modern digital aeromagnetic maps to fill in these data gaps and, for the first time, constrain the southern termination of the NY-AL&nbsp;</span><span class=\"ScopusTermHighlight\">lineament</span><span>. Our analysis indicates that the&nbsp;</span><span class=\"ScopusTermHighlight\">lineament</span><span>&nbsp;reflects a crustal-scale, right-lateral strike-slip fault that has displaced anomalies attributed to Grenville orogenesis by ~220 km. Palinspastic restoration of this displacement rearranges the trace of the Grenville belt in southern Rodinia and implies only passive influence on later-formed Appalachian structures. The precise timing of dextral movement on the NY-AL structure is not resolvable from the existing data set, but it must have occurred during one of, or combinations of, the following events: (1) a late, postcontractional (post-Ottawan) stage of the Grenville orogeny; (2) late Neoproterozoic to Cambrian rifting of Laurentia; or (3) right-slip reactivation during the late Neoproterozoic-Cambrian rifting of Laurentia, or during Appalachian movements. Our palinspastic reconstruction also implies that the host rocks for modern earthquakes in the Eastern Tennessee Seismic Zone are metasedimentary gneisses, and it provides an explanation for the spatial location and size of the seismic zone. © 2010 Geological Society of America.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G30978.1","issn":"00917613","usgsCitation":"Steltenpohl, M., Zietz, I., Horton,, J., and Daniels, D.L., 2010, New York-Alabama lineament: A buried right-slip fault bordering the Appalachians and mid-continent North America: Geology, v. 38, no. 6, p. 571-574, https://doi.org/10.1130/G30978.1.","productDescription":"4 p. ","startPage":"571","endPage":"574","costCenters":[],"links":[{"id":373612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States ","state":"New York, Pennsylvania, Ohio, Kentucky, Tennessee, Virginia, West Virginia, Maryland ","otherGeospatial":"Appalachian Basin ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.9814453125,\n              44.02442151965934\n            ],\n            [\n              -77.431640625,\n              43.26120612479979\n            ],\n            [\n              -78.837890625,\n              43.229195113965005\n            ],\n            [\n              -82.96875,\n              41.47566020027821\n            ],\n            [\n              -83.75976562499999,\n              38.92522904714054\n            ],\n            [\n              -86.8359375,\n              36.84446074079564\n            ],\n            [\n              -87.8466796875,\n              35.782170703266075\n            ],\n            [\n              -78.7060546875,\n              37.89219554724437\n            ],\n            [\n              -75.6298828125,\n              40.64730356252251\n            ],\n            [\n              -74.4873046875,\n              42.22851735620852\n            ],\n            [\n              -75.9814453125,\n              44.02442151965934\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Steltenpohl, M.G.","contributorId":6272,"corporation":false,"usgs":true,"family":"Steltenpohl","given":"M.G.","affiliations":[],"preferred":false,"id":785981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zietz, I.","contributorId":59937,"corporation":false,"usgs":true,"family":"Zietz","given":"I.","email":"","affiliations":[],"preferred":false,"id":785982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton,, J. Wright Jr. 0000-0001-6756-6365","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":219824,"corporation":false,"usgs":true,"family":"Horton,","given":"J. Wright","suffix":"Jr.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":785983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daniels, D. L.","contributorId":69114,"corporation":false,"usgs":true,"family":"Daniels","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":785984,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98482,"text":"ds69V - 2010 - Petroleum systems and geologic assessment of oil and gas in the Bighorn Basin Province, Wyoming and Montana","interactions":[],"lastModifiedDate":"2022-05-02T20:33:58.416758","indexId":"ds69V","displayToPublicDate":"2010-06-30T07:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"69","chapter":"V","title":"Petroleum systems and geologic assessment of oil and gas in the Bighorn Basin Province, Wyoming and Montana","docAbstract":"The U.S. Geological Survey (USGS) recently completed an assessment of the undiscovered oil and gas potential of the Bighorn Basin Province, which encompasses about 6.7 million acres in north-central Wyoming and southern Montana. The assessment is based on the geologic elements of each total petroleum system defined in the province, including petroleum source rocks (source-rock maturation, petroleum generation, and migration), reservoir rocks (sequence stratigraphy and petrophysical properties), and traps (trap formation and timing). Using this geologic framework, the USGS defined two total petroleum systems: (1) Phosphoria, and (2) Cretaceous-Tertiary Composite. Within these two systems, eight assessment units (AU) were defined, and undiscovered oil and gas resources were quantitatively estimated within each AU.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Assessment of Oil and Gas Project","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds69V","usgsCitation":"U.S. Geological Survey Bighorn Basin Province Assessment Team, 2010, Petroleum systems and geologic assessment of oil and gas in the Bighorn Basin Province, Wyoming and Montana: U.S. Geological Survey Data Series 69, HTML Document; CD-ROM, https://doi.org/10.3133/ds69V.","productDescription":"HTML Document; CD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":125926,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_69_v.jpg"},{"id":399988,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93270.htm"},{"id":13806,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-v/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Bighorn Basin Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.9125,\n              43.3333\n            ],\n            [\n              -107.0333,\n              43.3333\n            ],\n            [\n              -107.0333,\n              45.45\n            ],\n            [\n              -109.9125,\n              45.45\n            ],\n            [\n              -109.9125,\n              43.3333\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db698569","contributors":{"authors":[{"text":"U.S. Geological Survey Bighorn Basin Province Assessment Team","contributorId":127973,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Bighorn Basin Province Assessment Team","id":535029,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98484,"text":"ofr20101104 - 2010 - Karst map of Puerto Rico","interactions":[],"lastModifiedDate":"2018-02-08T15:45:19","indexId":"ofr20101104","displayToPublicDate":"2010-06-30T00:00:00","publicationYear":"2010","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":"2010-1104","title":"Karst map of Puerto Rico","docAbstract":"This map is a digital compilation, combining the mapping of earlier geologists. Their work, cited on the map, contains more detailed descriptions of karst areas and landforms in Puerto Rico. This map is the basis for the Puerto Rico part of a new national karst map currently being compiled by the U.S. Geological Survey. In addition, this product is a standalone, citable source of digital karst data for Puerto Rico. Nearly 25 percent of the United States is underlain by karst terrain, and a large part of that area is undergoing urban and industrial development. Accurate delineations of karstic rocks are needed at scales suitable for national, State, and local maps. The data on this map contribute to a better understanding of subsidence hazards, groundwater contamination potential, and cave resources as well as serve as a guide to topical research on karst. Because the karst data were digitized from maps having a different scale and projection from those on the base map used for this publication, some karst features may not coincide perfectly with physiographic features portrayed on the base map. \r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101104","usgsCitation":"2010, Karst map of Puerto Rico: U.S. Geological Survey Open-File Report 2010-1104, Map; GIS files; Metadata files, https://doi.org/10.3133/ofr20101104.","productDescription":"Map; GIS files; Metadata files","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":13870,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1104/","linkFileType":{"id":5,"text":"html"}},{"id":126631,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1104.jpg"}],"projection":"Polyconic 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,{"id":98483,"text":"fs20103039 - 2010 - Geospatial Information Response Team","interactions":[],"lastModifiedDate":"2012-02-02T00:14:43","indexId":"fs20103039","displayToPublicDate":"2010-06-30T00:00:00","publicationYear":"2010","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":"2010-3039","title":"Geospatial Information Response Team","docAbstract":"Extreme emergency events of national significance that include manmade and natural disasters seem to have become more frequent during the past two decades. The Nation is becoming more resilient to these emergencies through better preparedness, reduced duplication, and establishing better communications so every response and recovery effort saves lives and mitigates the long-term social and economic impacts on the Nation. The National Response Framework (NRF) (http://www.fema.gov/NRF) was developed to provide the guiding principles that enable all response partners to prepare for and provide a unified national response to disasters and emergencies. The NRF provides five key principles for better preparation, coordination, and response: 1) engaged partnerships, 2) a tiered response, 3) scalable, flexible, and adaptable operations, 4) unity of effort, and 5) readiness to act. The NRF also describes how communities, tribes, States, Federal Government, privatesector, and non-governmental partners apply these principles for a coordinated, effective national response. The U.S. Geological Survey (USGS) has adopted the NRF doctrine by establishing several earth-sciences, discipline-level teams to ensure that USGS science, data, and individual expertise are readily available during emergencies. The Geospatial Information Response Team (GIRT) is one of these teams.\r\n\r\nThe USGS established the GIRT to facilitate the effective collection, storage, and dissemination of geospatial data information and products during an emergency. The GIRT ensures that timely geospatial data are available for use by emergency responders, land and resource managers, and for scientific analysis. In an emergency and response capacity, the GIRT is responsible for establishing procedures for geospatial data acquisition, processing, and archiving; discovery, access, and delivery of data; anticipating geospatial needs; and providing coordinated products and services utilizing the USGS' exceptional pool of geospatial experts and equipment.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103039","usgsCitation":"Witt, E.C., 2010, Geospatial Information Response Team: U.S. Geological Survey Fact Sheet 2010-3039, 2 p., https://doi.org/10.3133/fs20103039.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":425,"text":"National Geospatial Technical Operations Center","active":false,"usgs":true}],"links":[{"id":125927,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3039.jpg"},{"id":13869,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3039/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c17b","contributors":{"authors":[{"text":"Witt, Emitt C. III 0000-0002-1814-7807 ecwitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7807","contributorId":1612,"corporation":false,"usgs":true,"family":"Witt","given":"Emitt","suffix":"III","email":"ecwitt@usgs.gov","middleInitial":"C.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":305479,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70156415,"text":"70156415 - 2010 - An automated and universal method for measuring mean grain size from a digital image of sediment","interactions":[],"lastModifiedDate":"2015-08-21T09:02:41","indexId":"70156415","displayToPublicDate":"2010-06-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An automated and universal method for measuring mean grain size from a digital image of sediment","docAbstract":"<p><span>Existing methods for estimating mean grain size of sediment in an image require either complicated sequences of image processing (filtering, edge detection, segmentation, etc.) or statistical procedures involving calibration. We present a new approach which uses Fourier methods to calculate grain size directly from the image without requiring calibration. Based on analysis of over 450 images, we found the accuracy to be within approximately 16% across the full range from silt to pebbles. Accuracy is comparable to, or better than, existing digital methods. The new method, in conjunction with recent advances in technology for taking appropriate images of sediment in a range of natural environments, promises to revolutionize the logistics and speed at which grain-size data may be obtained from the field.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010 : Hydrology and sedimentation for a changing future : existing and emerging issues","conferenceTitle":"Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling","conferenceDate":"June 27-July 1, 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"Joint Federal Interagency Conference","publisherLocation":"Las Vegas, Nevada","usgsCitation":"Buscombe, D.D., Rubin, D.M., and Warrick, J., 2010, An automated and universal method for measuring mean grain size from a digital image of sediment, <i>in</i> Proceedings of the Joint Federal Interagency Conference 2010 : Hydrology and sedimentation for a changing future : existing and emerging issues, Las Vegas, Nevada, June 27-July 1, 2010, 9 p.","productDescription":"9 p.","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307084,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d84baee4b0518e3546efc7","contributors":{"authors":[{"text":"Buscombe, Daniel D. 0000-0001-6217-5584 dbuscombe@usgs.gov","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":5020,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","email":"dbuscombe@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":569092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":569093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warrick, Jonathan A. jwarrick@usgs.gov","contributorId":1904,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":569094,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156355,"text":"70156355 - 2010 - A preliminary evaluation of Trinity river sediment and nutrient loads into Galveston Bay, Texas, during two periods of high flow","interactions":[],"lastModifiedDate":"2022-11-09T15:44:50.757075","indexId":"70156355","displayToPublicDate":"2010-06-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A preliminary evaluation of Trinity river sediment and nutrient loads into Galveston Bay, Texas, during two periods of high flow","docAbstract":"<p>Suspend-sediment and water-quality data were measured during two periods of high flow, one during April 20-23, 2009 and a second during September 22-November 3, 2009. On the basis of streamflow and continuous and discrete water-quality measurements, the two periods of high flow had different flood and nutrient loading characteristics. Some differences in the nature of these two periods of high flow were evident. Preliminary results indicate that it might be possible to better understand the extent of sediment and nutrient loading in Galveston Bay using selected measurements of discrete and continuous water-quality data. An apparent correlation was observed between the concentrations of selected nutrients and suspended sediment, and an apparent correlation was observed between suspended sediment and total nutrient concentration measured with in-situ turbidity measurements during periods of high flow in Trinity River at the Wallisville, Texas gage, about 3.5 miles upstream from where the Trinity River enters Galveston Bay. Additional data are needed to confirm these preliminary results. &nbsp;</p>","conferenceTitle":"Joint Federal Interagency Conference 2010","conferenceDate":"June 27-July 1, 2010","language":"English","publisher":"Joint Federal Interagency Conference","publisherLocation":"Las Vegas, Nevada","usgsCitation":"Lee, M.T., 2010, A preliminary evaluation of Trinity river sediment and nutrient loads into Galveston Bay, Texas, during two periods of high flow, Joint Federal Interagency Conference 2010, June 27-July 1, 2010, 12 p.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019930","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":306997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Galveston Bay, Trinity River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n  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,{"id":70158669,"text":"70158669 - 2010 - Use of time series and harmonic constituents of tidal propagation to enhance estimation of coastal aquifer heterogeneity","interactions":[],"lastModifiedDate":"2021-10-28T15:48:42.260906","indexId":"70158669","displayToPublicDate":"2010-06-26T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Use of time series and harmonic constituents of tidal propagation to enhance estimation of coastal aquifer heterogeneity","docAbstract":"<p>A synthetic two‐dimensional model of a horizontally and vertically heterogeneous confined coastal aquifer system, based on the Upper Floridan aquifer in south Florida, USA, subjected to constant recharge and a complex tidal signal was used to generate 15‐minute water‐level data at select locations over a 7‐day simulation period.&nbsp;&nbsp; &ldquo;Observed&rdquo; water‐level data were generated by adding noise, representative of typical barometric pressure variations and measurement errors, to 15‐minute data from the synthetic model. Permeability was calibrated using a non‐linear gradient‐based parameter inversion approach with preferred‐value Tikhonov regularization and 1) &ldquo;observed&rdquo; water‐level data, 2) harmonic constituent data, or 3) a combination of &ldquo;observed&rdquo; water‐level and harmonic constituent data.&nbsp; &nbsp; In all cases, high‐frequency data used in the parameter inversion process were able to characterize broad‐scale heterogeneities; the ability to discern fine‐scale heterogeneity was greater when harmonic constituent data were used.&nbsp;&nbsp;These results suggest that the combined use of highly parameterized‐inversion techniques and high frequency time and/or processed‐harmonic constituent water‐level data could be a useful approach to better characterize aquifer heterogeneities in coastal aquifers influenced by ocean tides.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"SWIM21 – 21st Salt Water Intrusion Meeting Proceedings Book","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"21st Salt Water Intrusion Meeting (SWIM21 – AZORES 2010)","conferenceDate":"June 21-26, 2010","conferenceLocation":"Azores, Portugal","language":"English","publisher":"Wechselnde Verlagsorte","usgsCitation":"Hughes, J.D., White, J., and Langevin, C.D., 2010, Use of time series and harmonic constituents of tidal propagation to enhance estimation of coastal aquifer heterogeneity, <i>in</i> SWIM21 – 21st Salt Water Intrusion Meeting Proceedings Book, Azores, Portugal, June 21-26, 2010, p. 329-332.","productDescription":"4 p.","startPage":"329","endPage":"332","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021172","costCenters":[{"id":286,"text":"Florida Water Science Center-Ft. Lauderdale","active":false,"usgs":true}],"links":[{"id":309523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560faad7e4b0ba4884c5eed4","contributors":{"authors":[{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":576441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Jeremy T. jwhite@usgs.gov","contributorId":3930,"corporation":false,"usgs":true,"family":"White","given":"Jeremy T.","email":"jwhite@usgs.gov","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":false,"id":576442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":576443,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98476,"text":"ds512 - 2010 - Groundwater Levels for Selected Wells in the Chehalis River Basin, Washington","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"ds512","displayToPublicDate":"2010-06-26T00:00:00","publicationYear":"2010","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":"512","title":"Groundwater Levels for Selected Wells in the Chehalis River Basin, Washington","docAbstract":"Groundwater levels for selected wells in the Chehalis River basin, Washington, are presented on an interactive web-based map to document the spatial distribution of groundwater levels in the study area during late summer 2009. Groundwater level data and well information were collected by the U.S. Geological Survey using standard techniques. The data are stored in the USGS National Water Information System (NWIS), Ground-Water Site-Inventory (GWSI) System.\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds512","collaboration":"Prepared in cooperation with the Washington State Department of Ecology, U.S. Army Corps of Engineers, and the Chehalis Basin Partnership ","usgsCitation":"Fasser, E., and Julich, R.J., 2010, Groundwater Levels for Selected Wells in the Chehalis River Basin, Washington: U.S. Geological Survey Data Series 512,   , https://doi.org/10.3133/ds512.","productDescription":"  ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-07-01","temporalEnd":"2009-09-30","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":197235,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13772,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/512/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a90e4b07f02db655ffc","contributors":{"authors":[{"text":"Fasser, E.T.","contributorId":81589,"corporation":false,"usgs":true,"family":"Fasser","given":"E.T.","affiliations":[],"preferred":false,"id":305465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Julich, R. J.","contributorId":85666,"corporation":false,"usgs":true,"family":"Julich","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":305466,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98477,"text":"fs20103046 - 2010 - Visualizing NetCDF Files by Using the EverVIEW Data Viewer","interactions":[],"lastModifiedDate":"2012-02-02T00:14:53","indexId":"fs20103046","displayToPublicDate":"2010-06-26T00:00:00","publicationYear":"2010","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":"2010-3046","title":"Visualizing NetCDF Files by Using the EverVIEW Data Viewer","docAbstract":"Over the past few years, modelers in South Florida have started using Network Common Data Form (NetCDF) as the standard data container format for storing hydrologic and ecologic modeling inputs and outputs. With its origins in the meteorological discipline, NetCDF was created by the Unidata Program Center at the University Corporation for Atmospheric Research, in conjunction with the National Aeronautics and Space Administration and other organizations. NetCDF is a portable, scalable, self-describing, binary file format optimized for storing array-based scientific data. Despite attributes which make NetCDF desirable to the modeling community, many natural resource managers have few desktop software packages which can consume NetCDF and unlock the valuable data contained within. The U.S. Geological Survey and the Joint Ecosystem Modeling group, an ecological modeling community of practice, are working to address this need with the EverVIEW Data Viewer. Available for several operating systems, this desktop software currently supports graphical displays of NetCDF data as spatial overlays on a three-dimensional globe and views of grid-cell values in tabular form. An included Open Geospatial Consortium compliant, Web-mapping service client and charting interface allows the user to view Web-available spatial data as additional map overlays and provides simple charting visualizations of NetCDF grid values.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103046","usgsCitation":"Conzelmann, C., and Romañach, S., 2010, Visualizing NetCDF Files by Using the EverVIEW Data Viewer: U.S. Geological Survey Fact Sheet 2010-3046,   , https://doi.org/10.3133/fs20103046.","productDescription":"  ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":125925,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3046.jpg"},{"id":13801,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3046/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fdb48","contributors":{"authors":[{"text":"Conzelmann, Craig 0000-0002-4227-8719 conzelmannc@usgs.gov","orcid":"https://orcid.org/0000-0002-4227-8719","contributorId":2361,"corporation":false,"usgs":true,"family":"Conzelmann","given":"Craig","email":"conzelmannc@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":305468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":2331,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","email":"sromanach@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":305467,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70156775,"text":"70156775 - 2010 - Evaluating the effect of Tikhonov regularization schemes on predictions in a variable-density groundwater model","interactions":[],"lastModifiedDate":"2021-10-28T15:48:19.844793","indexId":"70156775","displayToPublicDate":"2010-06-26T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluating the effect of Tikhonov regularization schemes on predictions in a variable-density groundwater model","docAbstract":"<p><span>Calibration of highly‐parameterized numerical models typically requires explicit Tikhonovtype regularization to stabilize the inversion process. This regularization can take the form of a preferred parameter values scheme or preferred relations between parameters, such as the preferred equality scheme. The resulting parameter distributions calibrate the model to a user‐defined acceptable level of model‐to‐measurement misfit, and also minimize regularization penalties on the total objective function. To evaluate the potential impact of these two regularization schemes on model predictive ability, a dataset generated from a synthetic model was used to calibrate a highly-parameterized variable‐density SEAWAT model. The key prediction is the length of time a synthetic pumping well will produce potable water. A bi‐objective Pareto analysis was used to explicitly characterize the relation between two competing objective function components: measurement error and regularization error. Results of the Pareto analysis indicate that both types of regularization schemes affect the predictive ability of the calibrated model.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"SWIM21 – 21st Salt Water Intrusion Meeting Proceedings Book","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"21st Salt Water Intrusion Meeting (SWIM21 – AZORES 2010)","conferenceDate":"June 21-26, 2010","conferenceLocation":"Azores, Portugal","language":"English","publisher":"Wechselnde Verlagsorte","usgsCitation":"White, J., Langevin, C.D., and Hughes, J.D., 2010, Evaluating the effect of Tikhonov regularization schemes on predictions in a variable-density groundwater model, <i>in</i> SWIM21 – 21st Salt Water Intrusion Meeting Proceedings Book, Azores, Portugal, June 21-26, 2010, p. 344-348.","productDescription":"5 p.","startPage":"344","endPage":"348","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021176","costCenters":[{"id":286,"text":"Florida Water Science Center-Ft. Lauderdale","active":false,"usgs":true}],"links":[{"id":307651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307650,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.swim-site.nl/pdf/swim21.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe8262e4b0824b2d1485a7","contributors":{"authors":[{"text":"White, Jeremy T. jwhite@usgs.gov","contributorId":3930,"corporation":false,"usgs":true,"family":"White","given":"Jeremy T.","email":"jwhite@usgs.gov","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":false,"id":570478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":570479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":570480,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98475,"text":"ds513 - 2010 - Geochemical Results of Lysimeter Sampling at the Manning Canyon Repository in the Mercur Mining District, Utah","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ds513","displayToPublicDate":"2010-06-25T00:00:00","publicationYear":"2010","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":"513","title":"Geochemical Results of Lysimeter Sampling at the Manning Canyon Repository in the Mercur Mining District, Utah","docAbstract":"This report presents chemical characteristics of transient unsaturated-zone water collected by lysimeter from the Manning Canyon repository site in Utah. Data collected by U.S. Geological Survey and U.S. Department of the Interior, Bureau of Land Management scientists under an intragovernmental order comprise the existing body of hydrochemical information on unsaturated-zone conditions at the site and represent the first effort to characterize the chemistry of the soil pore water surrounding the repository. Analyzed samples showed elevated levels of arsenic, barium, chromium, and strontium, which are typical of acidic mine drainage. The range of major-ion concentrations generally showed expected soil values. Although subsequent sampling is necessary to determine long-term effects of the repository, current results provide initial data concerning reactive processes of precipitation on the mine tailings and waste rock stored at the site and provide information on the effectiveness of reclamation operations at the Manning Canyon repository. \r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds513","collaboration":"In cooperation with the Bureau of Land Management","usgsCitation":"Earle, J., and Choate, L., 2010, Geochemical Results of Lysimeter Sampling at the Manning Canyon Repository in the Mercur Mining District, Utah: U.S. Geological Survey Data Series 513, iv, 6 p., https://doi.org/10.3133/ds513.","productDescription":"iv, 6 p.","additionalOnlineFiles":"Y","costCenters":[{"id":687,"text":"Yucca Mountain Project Branch","active":false,"usgs":true}],"links":[{"id":118475,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_513.jpg"},{"id":13758,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/513/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.28333333333333,40.483333333333334 ], [ -112.28333333333333,40.5 ], [ -112.25,40.5 ], [ -112.25,40.483333333333334 ], [ -112.28333333333333,40.483333333333334 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae98a","contributors":{"authors":[{"text":"Earle, John","contributorId":86733,"corporation":false,"usgs":true,"family":"Earle","given":"John","affiliations":[],"preferred":false,"id":305464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choate, LaDonna","contributorId":32887,"corporation":false,"usgs":true,"family":"Choate","given":"LaDonna","affiliations":[],"preferred":false,"id":305463,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70236326,"text":"70236326 - 2010 - The role of mosses in ecosystem succession and function in Alaska’s boreal forest","interactions":[],"lastModifiedDate":"2022-09-01T17:18:55.044297","indexId":"70236326","displayToPublicDate":"2010-06-24T12:10:01","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"The role of mosses in ecosystem succession and function in Alaska’s boreal forest","docAbstract":"<p>Shifts in moss communities may affect the resilience of boreal ecosystems to a changing climate because of the role of moss species in regulating soil climate and biogeochemical cycling. Here, we use long-term data analysis and literature synthesis to examine the role of moss in ecosystem succession, productivity, and decomposition. In Alaskan forests, moss abundance showed a unimodal distribution with time since fire, peaking 30–70 years post-fire. We found no evidence of mosses compensating for low vascular productivity in low-fertility sites at large scales, although a trade-off between moss and vascular productivity was evident in intermediate-productivity sites. Mosses contributed 48% and 20% of wetland and upland productivity, respectively, but produced tissue that decomposed more slowly than both nonwoody and woody vascular tissues. Increasing fire frequency in Alaska is likely to favor feather moss proliferation and decrease Sphagnum abundance, which will reduce soil moisture retention and decrease peat accumulation, likely leading to deeper burning during wildfire and accelerated permafrost thaw. The roles of moss traits in regulating key aspects of boreal performance (ecosystem N supply, C sequestration, permafrost stability, and fire severity) represent critical areas for understanding the resilience of Alaska’s boreal forest region under changing climate and disturbance regimes.<br></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/X10-072","usgsCitation":"Turetsky, M.R., Mack, M., Hollingsworth, T.N., and Harden, J.W., 2010, The role of mosses in ecosystem succession and function in Alaska’s boreal forest: Canadian Journal of Forest Research, v. 40, no. 7, p. 1237-1264, https://doi.org/10.1139/X10-072.","productDescription":"28 p.","startPage":"1237","endPage":"1264","costCenters":[],"links":[{"id":406080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -141.064453125,\n              69.16255790810501\n            ],\n            [\n              -142.91015625,\n              69.00567519658819\n            ],\n            [\n              -144.1845703125,\n              68.49604022839505\n            ],\n            [\n              -145.98632812499997,\n              68.22052325573338\n            ],\n            [\n              -148.5791015625,\n              67.52537347875264\n            ],\n            [\n              -155.6103515625,\n              67.16995497083367\n            ],\n            [\n              -156.6650390625,\n              66.8265202749748\n            ],\n            [\n              -155.7861328125,\n              66.24916310923315\n            ],\n            [\n              -156.26953125,\n              65.47650756256367\n            ],\n            [\n              -156.6650390625,\n              64.20637724320852\n            ],\n            [\n              -156.6650390625,\n              62.734600877063585\n            ],\n            [\n              -154.1162109375,\n              61.227957176677876\n            ],\n            [\n              -154.1162109375,\n              61.91827102335593\n            ],\n            [\n              -151.7431640625,\n              62.935234870604695\n            ],\n            [\n              -148.7548828125,\n              63.60721668033077\n            ],\n            [\n              -147.7001953125,\n              63.860035895395306\n            ],\n            [\n              -144.9755859375,\n              63.213829705155625\n            ],\n            [\n              -141.6796875,\n              62.226996036319726\n            ],\n            [\n              -141.1083984375,\n              62.062733258846514\n            ],\n            [\n              -141.064453125,\n              69.16255790810501\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Turetsky, Merritt R.","contributorId":169398,"corporation":false,"usgs":false,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":850618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mack, Michelle","contributorId":98031,"corporation":false,"usgs":false,"family":"Mack","given":"Michelle","affiliations":[],"preferred":false,"id":850619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hollingsworth, Teresa N.","contributorId":19016,"corporation":false,"usgs":true,"family":"Hollingsworth","given":"Teresa","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":850620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":850621,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98474,"text":"fs20103049 - 2010 - Topographic Science","interactions":[],"lastModifiedDate":"2018-02-23T12:40:32","indexId":"fs20103049","displayToPublicDate":"2010-06-24T00:00:00","publicationYear":"2010","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":"2010-3049","title":"Topographic Science","docAbstract":"The mission of U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center Topographic Science is to establish partnerships and conduct research and applications that facilitate the development and use of integrated national and global topographic datasets. Topographic Science includes a wide range of research and applications that result in improved seamless topographic datasets, advanced elevation technology, data integration and terrain visualization, new and improved elevation derivatives, and development of Web-based tools. 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