{"pageNumber":"719","pageRowStart":"17950","pageSize":"25","recordCount":68919,"records":[{"id":70005061,"text":"ofr20111183 - 2011 - Wave exposure of Corte Madera Marsh, Marin County, California: A field investigation","interactions":[],"lastModifiedDate":"2024-03-01T21:40:05.594131","indexId":"ofr20111183","displayToPublicDate":"2011-08-07T00:00:00","publicationYear":"2011","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":"2011-1183","title":"Wave exposure of Corte Madera Marsh, Marin County, California: A field investigation","docAbstract":"<p>Tidal wetlands provide valuable habitat, are an important source of primary productivity, and can help to protect the shoreline from erosion by attenuating approaching waves. These functions are threatened by the loss of tidal marshes, whether due to erosion, sea-level rise, or land-use practices. Erosion protection by wetlands is expected to vary geographically, because wave attenuation in marshes depends on vegetation type, density, and height and wave attenuation over mudflats depends on slope and sediment properties. In macrotidal northern European marshes, a 50 percent reduction in wave height within tens of meters of vegetated salt marsh has been observed. This study was designed to evaluate the role of mudflats and marshes in attenuating waves at a site in San Francisco Bay.</p><p>In prehistoric times, the shoreline of San Francisco Bay was ringed with tidal wetlands, with mudflats at lower elevations and marshes above. Most of the marshes around the Bay emerged 2,000–4,000 years ago, after the rate of sea-level rise slowed to approximately 1 mm/year. Approximately 80 percent of the acreage of tidal marsh and 40 percent of the acreage of tidal mudflats in San Francisco Bay have been lost to filling and draining since 1800. Tidal wetlands are particularly susceptible to impacts from sea-level rise because the vegetation at each elevation is adapted to a specific tidal-inundation regime. The maintenance of suitable marsh-plain elevations depends on a supply of sediment that can keep up with the rate of sea-level rise. Sea-level rise, which according to recent projections may reach 75 to 190 cm by the year 2100, poses a significant threat to wetlands in San Francisco Bay, where landward migration is frequently impossible due to urbanization of the adjacent landscape.</p><p>In this study, we collected data in Corte Madera Bay and Marsh to determine whether, and to what degree, waves are attenuated as they transit the Bay and, during high tides, the marsh. Corte Madera Bay was selected as a study site because of its exposure to wind waves, as well as its history of shoreline erosion and marsh restoration and monitoring. Data were collected in the winter of 2010, along a cross-shore transect extending from offshore of the subtidal mudflats into the tidal marsh. This study forms part of the Innovative Wetland Adaptation in the Lower Corte Madera Creek Watershed Project initiated by the Bay Conservation and Development Commission (BCDC) (<a rel=\"noopener\" href=\"http://www.bcdc.ca.gov/planning/climate_change/WetlandAdapt.shtml\" target=\"_blank\" data-mce-href=\"http://www.bcdc.ca.gov/planning/climate_change/WetlandAdapt.shtml\">http://www.bcdc.ca.gov/planning/climate_change/WetlandAdapt.shtml</a>).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111183","collaboration":"In cooperation with the San Francisco Bay Conservation and Development Commission","usgsCitation":"Lacy, J.R., and Hoover, D.J., 2011, Wave exposure of Corte Madera Marsh, Marin County, California: A field investigation: U.S. Geological Survey Open-File Report 2011-1183, vi, 28p., https://doi.org/10.3133/ofr20111183.","productDescription":"vi, 28p.","onlineOnly":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":426213,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95409.htm"},{"id":24529,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1183/","linkFileType":{"id":5,"text":"html"}},{"id":116178,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1183.gif"}],"country":"United States","state":"California","county":"Marin County","otherGeospatial":"Corte Madera Bay, Corte Madera Marsh","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.75,37.75 ], [ -112.75,38 ], [ -112.25,38 ], [ -112.25,37.75 ], [ -112.75,37.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dfe4b07f02db5e3b3b","contributors":{"authors":[{"text":"Lacy, Jessica R. 0000-0002-2797-6172 jlacy@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":3158,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"jlacy@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":351911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoover, Daniel J. 0000-0002-2927-6196 dhoover@usgs.gov","orcid":"https://orcid.org/0000-0002-2927-6196","contributorId":4671,"corporation":false,"usgs":true,"family":"Hoover","given":"Daniel","email":"dhoover@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":351912,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005060,"text":"sir20115071 - 2011 - Water availability and use pilot: Methods development for a regional assessment of groundwater availability, southwest alluvial basins, Arizona","interactions":[],"lastModifiedDate":"2021-12-15T21:50:54.643853","indexId":"sir20115071","displayToPublicDate":"2011-08-07T00:00:00","publicationYear":"2011","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":"2011-5071","title":"Water availability and use pilot: Methods development for a regional assessment of groundwater availability, southwest alluvial basins, Arizona","docAbstract":"Executive Summary:\n  Arizona is located in an arid to semiarid region in the southwestern United States and is one of the fastest growing States in the country. Population in Arizona surpassed 6.5 million people in 2008, an increase of 140 percent since 1980, when the last regional U.S. Geological Survey (USGS) groundwater study was done as part of the Regional Aquifer System Analysis (RASA) program. The alluvial basins of Arizona are part of the Basin and Range Physiographic Province and cover more than 73,000 mi<sup>2</sup>, 65 percent of the State's total land area. More than 85 percent of the State's population resides within this area, accounting for more than 95 percent of the State's groundwater use. Groundwater supplies in the area are expected to undergo further stress as an increasing population vies with the State's important agricultural sector for access to these limited resources. \n\n  To provide updated information to stakeholders addressing issues surrounding limited groundwater supplies and projected increases in groundwater use, the USGS Groundwater Resources Program instituted the Southwest Alluvial Basins Groundwater Availability and Use Pilot Program to evaluate the availability of groundwater resources in the alluvial basins of Arizona. The principal products of this evaluation of groundwater resources are updated groundwater budget information for the study area and a proof-of-concept groundwater-flow model incorporating several interconnected groundwater basins. This effort builds on previous research on the assessment and mapping of groundwater conditions in the alluvial basins of Arizona, also supported by the USGS Groundwater Resources Program. \n\n  Regional Groundwater Budget:\n  The Southwest Alluvial Basins-Regional Aquifer System Analysis (SWAB-RASA) study produced semiquantitative groundwater budgets for each of the alluvial basins in the SWAB-RASA study area. The pilot program documented in this report developed new quantitative estimates of groundwater budget components using recent (2000-2007) data and methods of data analysis. Estimates of inflow components, including mountain-front recharge, incidental recharge from irrigation of agriculture, managed recharge from recharge facilities, interbasin underflow from upgradient basins, and streamflow losses, are quantified for recent time periods. Mountain-front recharge is the greatest inflow component to the groundwater system and was estimated using two methods: a basin characteristic model and new precipitation information used in a previously developed regression equation. Annual mountain-front recharge for the study area for 1940-2007 estimated by the two methods is 730,000 acre-ft for the basin characteristic model and 643,000 acre-ft for the regression equation, representing 1.5 percent and 1.3 percent of precipitation, respectively. Outflow components, including groundwater withdrawals, evapotranspiration, and interbasin flow to downgradient basins, are also presented for recent time periods. Groundwater withdrawals accounted for the largest share of the water budget, with nearly 2.4 million acre-ft per year withdrawn from the study area in recent years. Evapotranspiration from groundwater was estimated at nearly 1.3 million acre-ft per year for the study area using a newly developed method incorporating vegetation indices from satellite images and land cover information. For water-budget components with temporal variation that could be assessed from available data, estimates for intervening time periods since before development were also developed. An estimate of aquifer storage change, representing both gains to and losses from the groundwater system since before development, was derived for the most developed basins in the study area using available estimates of groundwater-level changes and storage coefficients. An overall storage loss of 74.5 million acre-ft was estimated for these basins within the study area. \n\n  Demonstration","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115071","collaboration":"National Water Availability and Use Pilot Program","usgsCitation":"Tillman, F., Cordova, J., Leake, S.A., Thomas, B.E., and Callegary, J.B., 2011, Water availability and use pilot: Methods development for a regional assessment of groundwater availability, southwest alluvial basins, Arizona: U.S. Geological Survey Scientific Investigations Report 2011-5071, ix, 76 p., https://doi.org/10.3133/sir20115071.","productDescription":"ix, 76 p.","onlineOnly":"Y","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":116148,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5071.gif"},{"id":392973,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95406.htm"},{"id":24528,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5071/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Southwest Alluvial Basins","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115,31.25 ], [ -115,36.5 ], [ -109,36.5 ], [ -109,31.25 ], [ -115,31.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5fa2f4","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":1629,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred D.","email":"ftillman@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":351906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cordova, Jeffrey T. jcordova@usgs.gov","contributorId":1845,"corporation":false,"usgs":true,"family":"Cordova","given":"Jeffrey T.","email":"jcordova@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":false,"id":351907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leake, Stanley A. 0000-0003-3568-2542 saleake@usgs.gov","orcid":"https://orcid.org/0000-0003-3568-2542","contributorId":1846,"corporation":false,"usgs":true,"family":"Leake","given":"Stanley","email":"saleake@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Blakemore E.","contributorId":93871,"corporation":false,"usgs":true,"family":"Thomas","given":"Blakemore","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":351910,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Callegary, James B. 0000-0003-3604-0517 jcallega@usgs.gov","orcid":"https://orcid.org/0000-0003-3604-0517","contributorId":2171,"corporation":false,"usgs":true,"family":"Callegary","given":"James","email":"jcallega@usgs.gov","middleInitial":"B.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351909,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005059,"text":"fs20113049 - 2011 - From ridge to reef&mdash;linking erosion and changing watersheds to impacts on the coral reef ecosystems of Hawai&#8216;i and the Pacific Ocean","interactions":[],"lastModifiedDate":"2018-01-04T12:55:48","indexId":"fs20113049","displayToPublicDate":"2011-08-05T00:00:00","publicationYear":"2011","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":"2011-3049","title":"From ridge to reef&mdash;linking erosion and changing watersheds to impacts on the coral reef ecosystems of Hawai&#8216;i and the Pacific Ocean","docAbstract":"<p>Coral reef ecosystems are threatened by unprecedented watershed changes in the United States and worldwide. These ecosystems sustain fishing and tourism industries essential to the economic survival of many communities. Sediment, nutrients, and pollutants from watersheds are increasingly transported to coastal waters, where these contaminants damage corals. Although pollution from watersheds is one of many factors threatening coral survival, it is one that local people can have a profound influence on. U.S. Geological Survey scientists are using mapping, monitoring, and computer modeling to better forecast the effects of watershed changes on reef health. Working with communities in Hawai&lsquo;i and on other U.S. islands in the Pacific, they are helping to provide the science needed to make informed decisions on watershed and coral reef management.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113049","usgsCitation":"Stock, J., Cochran, S., Field, M.E., Jacobi, J.D., and Tribble, G., 2011, From ridge to reef&mdash;linking erosion and changing watersheds to impacts on the coral reef ecosystems of Hawai&#8216;i and the Pacific Ocean: U.S. Geological Survey Fact Sheet 2011-3049, 4 p., https://doi.org/10.3133/fs20113049.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":116741,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3049.gif"},{"id":24527,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3049/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawai'i","otherGeospatial":"Guam;U.S. Pacific Islands","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b44d0","contributors":{"authors":[{"text":"Stock, Jonathan D.","contributorId":94167,"corporation":false,"usgs":true,"family":"Stock","given":"Jonathan D.","affiliations":[],"preferred":false,"id":351905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Susan A.","contributorId":27533,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","affiliations":[],"preferred":false,"id":351903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Field, Michael E. mfield@usgs.gov","contributorId":2101,"corporation":false,"usgs":true,"family":"Field","given":"Michael","email":"mfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":351901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":351902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tribble, Gordon","contributorId":32632,"corporation":false,"usgs":true,"family":"Tribble","given":"Gordon","affiliations":[],"preferred":false,"id":351904,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005055,"text":"ds622 - 2011 - Geophysical logs and water-quality data collected for boreholes Kimama-1A and -1B, and a Kimama water supply well near Kimama, southern Idaho","interactions":[],"lastModifiedDate":"2012-03-08T17:16:41","indexId":"ds622","displayToPublicDate":"2011-08-05T00:00:00","publicationYear":"2011","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":"622","title":"Geophysical logs and water-quality data collected for boreholes Kimama-1A and -1B, and a Kimama water supply well near Kimama, southern Idaho","docAbstract":"In September 2010, a research consortium led by scientists from Utah State University began drilling the first of three continuously cored boreholes on the Snake River Plain in southern Idaho. The goals of this effort, the Snake River Scientific Drilling Project, are to study the interaction between the Earth's crust and mantle, to identify potential geothermal energy sources, and to track the evolution of the Yellowstone hotspot on the Snake River Plain.\n\n  The first borehole, located near Kimama, Idaho, is about 50 miles southwest of the U.S. Department of Energy's Idaho National Laboratory. Because geohydrologic data are scarce for that area of the central Snake River Plain, the Kimama borehole, completed in January 2011, provided a unique opportunity to collect geophysical and water-chemistry data from the eastern Snake River Plain aquifer system, downgradient of the laboratory. Therefore, in conjunction with the Snake River Scientific Drilling Project, scientists from the U.S. Geological Survey's Idaho National Laboratory Project Office conducted geophysical logging and collected water samples at the Kimama site. Wireline geophysical logs were collected for the diverging borehole, Kimama-1A and -1B, from land surface to 976 and 2,498 feet below land surface (BLS), respectively. Water samples were collected from Kimama-1A at depths near 460 and 830 feet BLS, and from the Kimama Water Supply (KWS) well located about 75 feet away.\n\n  Geophysical log data included a composite of natural gamma, neutron, gamma-gamma dual density, and gyroscopic analysis for boreholes Kimama-1A and -1B. Geophysical logs depicted eight sediment layers (excluding surficial sediment) ranging from 4 to 60 feet in thickness. About 155 individual basalt flows were identified, ranging from less than 3 feet to more than 175 feet in thickness (averaging 15 feet) for borehole Kimama-1B (0 to 2,498 feet BLS). Sediment and basalt contacts were selected based on geophysical traces and were confirmed with visual inspection of core photographs. Temperature logs from the water table surface (about 260 feet BLS) to the bottom of borehole Kimama-1B (2,498 feet BLS) were nearly isothermal, ranging from about 62 to 64 degrees Fahrenheit. Gyroscopic data revealed that borehole Kimama-1B begins to separate from borehole Kimama-1A near a depth of 676 feet BLS. Drillhole azimuth and horizontal deviation at total logged depth for boreholes Kimama-1A and -1B were 172.6 and 188.3 degrees and 25.9 and 82.0 feet, respectively.\n\n  Water samples were collected and analyzed for common ions; selected trace elements; nutrients; isotopes of hydrogen, oxygen, and carbon; and selected radionuclides. One set of water samples was collected from the KWS well and the two other sample sets were collected from borehole Kimama-1A near 460 and 830 feet BLS. With one exception, data for all three zones sampled near Kimama generally indicated that the water chemistry was similar. The exception was found in the deepest zone in borehole Kimama-1A (830 feet BLS) where concentrations probably were affected by the drilling mud. A comparison of the inorganic, organic, and stable chemistry data between the KWS well and the 460-foot zone in borehole Kimama-1A indicated similar chemistry of the aquifer water, except for some variability with nitrate plus nitrite, orthophosphate, iron, zinc, and carbon-14. Radionuclide concentrations were either less than reporting levels or at background levels for the eastern Snake River Plain aquifer.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds622","collaboration":"Prepared in cooperation with the U.S. Department of Energy (DOE//ID 22215)","usgsCitation":"Twining, B.V., and Bartholomay, R.C., 2011, Geophysical logs and water-quality data collected for boreholes Kimama-1A and -1B, and a Kimama water supply well near Kimama, southern Idaho: U.S. Geological Survey Data Series 622, iv, 16 p.; Appendices, https://doi.org/10.3133/ds622.","productDescription":"iv, 16 p.; Appendices","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":116585,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_622.jpg"},{"id":24525,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/622/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","country":"United States","state":"Idaho","county":"Lincoln","city":"Kimama","otherGeospatial":"Snake River Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.5,42 ], [ -115.5,45 ], [ -111,45 ], [ -111,42 ], [ -115.5,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c151","contributors":{"authors":[{"text":"Twining, Brian V. 0000-0003-1321-4721 btwining@usgs.gov","orcid":"https://orcid.org/0000-0003-1321-4721","contributorId":2387,"corporation":false,"usgs":true,"family":"Twining","given":"Brian","email":"btwining@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351895,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005056,"text":"sir20115102 - 2011 - Distribution, persistence, and hydrologic characteristics of salmon spawning habitats in clearwater side channels of the Matanuska River, southcentral Alaska","interactions":[],"lastModifiedDate":"2018-05-06T10:51:18","indexId":"sir20115102","displayToPublicDate":"2011-08-05T00:00:00","publicationYear":"2011","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":"2011-5102","title":"Distribution, persistence, and hydrologic characteristics of salmon spawning habitats in clearwater side channels of the Matanuska River, southcentral Alaska","docAbstract":"Turbid, glacially influenced rivers are often considered to be poor salmon spawning and rearing habitats and, consequently, little is known about salmon habitats that do occur within rivers of this type. To better understand salmon spawning habitats in the Matanuska River of southcentral Alaska, the distribution and characteristics of clearwater side-channel spawning habitats were determined and compared to spawning habitats in tributaries. More than 100 kilometers of clearwater side channels within the braided mainstem of the Matanuska River were mapped for 2006 from aerial images and ground-based surveys. In reaches selected for historical analysis, side channel locations shifted appreciably between 1949 and 2006, but the relative abundance of clearwater side channels was fairly stable during the same period. Geospatial analysis of side channel distribution shows side channels typically positioned along abandoned bars at the braid plain margin rather than on bars between mainstem channels, and shows a strong correlation of channel abundance with braid plain width. Physical and geomorphic characteristics of the channel and chemical character of the water measured at 19 side channel sites, 6 tributary sites, 4 spring sites, and 5 mainstem channel sites showed conditions suitable for salmon spawning in side channels and tributaries, and a correlation of side channel characteristics with the respective tributary or groundwater source water. Autumn-through-spring monitoring of intergravel water temperatures adjacent to salmon redds (nests) in three side channels and two tributaries indicate adequate accumulated thermal units for incubation and emergence of salmon in side channels and relatively low accumulated thermal units in tributaries.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115102","collaboration":"Prepared in cooperation with U.S. Fish and Wildlife Service and Chickaloon Village Traditional Council","usgsCitation":"Curran, J.H., McTeague, M.L., Burril, S., and Zimmerman, C.E., 2011, Distribution, persistence, and hydrologic characteristics of salmon spawning habitats in clearwater side channels of the Matanuska River, southcentral Alaska: U.S. Geological Survey Scientific Investigations Report 2011-5102, vi, 36 p.; Appendices; Download Packet: GIS Data 1, https://doi.org/10.3133/sir20115102.","productDescription":"vi, 36 p.; Appendices; Download Packet: GIS Data 1","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":116740,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5102.jpg"},{"id":24526,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5102/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Matanuska River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -151,61 ], [ -151,62.5 ], [ -146.75,62.5 ], [ -146.75,61 ], [ -151,61 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6be4b07f02db63d94c","contributors":{"authors":[{"text":"Curran, Janet H. 0000-0002-3899-6275 jcurran@usgs.gov","orcid":"https://orcid.org/0000-0002-3899-6275","contributorId":690,"corporation":false,"usgs":true,"family":"Curran","given":"Janet","email":"jcurran@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":351898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McTeague, Monica L.","contributorId":82045,"corporation":false,"usgs":true,"family":"McTeague","given":"Monica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":351900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burril, Sean E.","contributorId":56183,"corporation":false,"usgs":true,"family":"Burril","given":"Sean E.","affiliations":[],"preferred":false,"id":351899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":351897,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005037,"text":"sir20105214 - 2011 - Application of the Local Grid Refinement package to an inset model simulating the interaction of lakes, wells, and shallow groundwater, northwestern Waukesha County, Wisconsin","interactions":[],"lastModifiedDate":"2023-12-14T19:49:37.26436","indexId":"sir20105214","displayToPublicDate":"2011-08-04T00:00:00","publicationYear":"2011","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":"2010-5214","title":"Application of the Local Grid Refinement package to an inset model simulating the interaction of lakes, wells, and shallow groundwater, northwestern Waukesha County, Wisconsin","docAbstract":"Groundwater use from shallow, high-capacity wells is expected to increase across southeastern Wisconsin in the next decade (2010-2020), owing to residential and business growth and the need for shallow water to be blended with deeper water of lesser quality, containing, for example, excessive levels of radium. However, this increased pumping has the potential to affect surface-water features. A previously developed regional groundwater-flow model for southeastern Wisconsin was used as the starting point for a new model to characterize the hydrology of part of northwestern Waukesha County, with a particular focus on the relation between the shallow aquifer and several area lakes. An inset MODFLOW model was embedded in an updated version of the original regional model. Modifications made within the inset model domain include finer grid resolution; representation of Beaver, Pine, and North Lakes by use of the LAK3 package in MODFLOW; and representation of selected stream reaches with the SFR package. Additionally, the inset model is actively linked to the regional model by use of the recently released Local Grid Refinement package for MODFLOW-2005, which allows changes at the regional scale to propagate to the local scale and vice versa. \r\n\r\n  The calibrated inset model was used to simulate the hydrologic system in the Chenequa area under various weather and pumping conditions. The simulated model results for base conditions show that groundwater is the largest inflow component for Beaver Lake (equal to 59 percent of total inflow). For Pine and North Lakes, it is still an important component (equal, respectively, to 16 and 5 percent of total inflow), but for both lakes it is less than the contribution from precipitation and surface water. Severe drought conditions (simulated in a rough way by reducing both precipitation and recharge rates for 5 years to two-thirds of base values) cause correspondingly severe reductions in lake stage and flows. The addition of a test well south of Chenequa at a pumping rate of 47 gal/min from a horizon approximately 200 feet below land surface has little effect on lake stages or flows even after 5 years of pumping. In these scenarios, the stage and the surface-water outflow from Pine Lake are simulated to decrease by only 0.03 feet and 3 percent, respectively, relative to base conditions. Likely explanations for these limited effects are the modest pumping rate simulated, the depth of the test well, and the large transmissivity of the unconsolidated aquifer, which allows the well to draw water from upstream along the bedrock valley and to capture inflow from the Bark River. However, if the pumping rate of the test well is assumed to increase to 200 gal/min, the decrease in simulated Pine Lake outflow is appreciably larger, dropping by 14 percent relative to base-flow conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105214","usgsCitation":"Feinstein, D.T., Dunning, C.P., Juckem, P., and Hunt, R.J., 2011, Application of the Local Grid Refinement package to an inset model simulating the interaction of lakes, wells, and shallow groundwater, northwestern Waukesha County, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2010-5214, vi, 30 p., https://doi.org/10.3133/sir20105214.","productDescription":"vi, 30 p.","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":423581,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95399.htm","linkFileType":{"id":5,"text":"html"}},{"id":24519,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5214/","linkFileType":{"id":5,"text":"html"}},{"id":116182,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5214.gif"}],"country":"United States","state":"Wisconsin","county":"Waukesha County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.4278,\n              43.1728\n            ],\n            [\n              -88.4278,\n              43.0833\n            ],\n            [\n              -88.3231,\n              43.0833\n            ],\n            [\n              -88.3231,\n              43.1728\n            ],\n            [\n              -88.4278,\n              43.1728\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67a8c0","contributors":{"authors":[{"text":"Feinstein, D. T.","contributorId":47328,"corporation":false,"usgs":true,"family":"Feinstein","given":"D.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":351871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunning, C. P.","contributorId":35792,"corporation":false,"usgs":true,"family":"Dunning","given":"C.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":351869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Juckem, P. F.","contributorId":24819,"corporation":false,"usgs":true,"family":"Juckem","given":"P. F.","affiliations":[],"preferred":false,"id":351868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, R. J.","contributorId":40164,"corporation":false,"usgs":true,"family":"Hunt","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":351870,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005036,"text":"ofr20111157 - 2011 - Description and testing of the Geo Data Portal: Data integration framework and Web processing services for environmental science collaboration","interactions":[],"lastModifiedDate":"2012-03-08T17:16:41","indexId":"ofr20111157","displayToPublicDate":"2011-08-04T00:00:00","publicationYear":"2011","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":"2011-1157","title":"Description and testing of the Geo Data Portal: Data integration framework and Web processing services for environmental science collaboration","docAbstract":"Interest in sharing interdisciplinary environmental modeling results and related data is increasing among scientists. The U.S. Geological Survey Geo Data Portal project enables data sharing by assembling open-standard Web services into an integrated data retrieval and analysis Web application design methodology that streamlines time-consuming and resource-intensive data management tasks. Data-serving Web services allow Web-based processing services to access Internet-available data sources. The Web processing services developed for the project create commonly needed derivatives of data in numerous formats. Coordinate reference system manipulation and spatial statistics calculation components implemented for the Web processing services were confirmed using ArcGIS 9.3.1, a geographic information science software package. Outcomes of the Geo Data Portal project support the rapid development of user interfaces for accessing and manipulating environmental data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111157","usgsCitation":"Blodgett, D.L., Booth, N., Kunicki, T.C., Walker, J.I., and Viger, R., 2011, Description and testing of the Geo Data Portal: Data integration framework and Web processing services for environmental science collaboration: U.S. Geological Survey Open-File Report 2011-1157, iv, 9 p., https://doi.org/10.3133/ofr20111157.","productDescription":"iv, 9 p.","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":116183,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1157.gif"},{"id":24518,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1157/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66db36","contributors":{"authors":[{"text":"Blodgett, David L. 0000-0001-9489-1710 dblodgett@usgs.gov","orcid":"https://orcid.org/0000-0001-9489-1710","contributorId":3868,"corporation":false,"usgs":true,"family":"Blodgett","given":"David","email":"dblodgett@usgs.gov","middleInitial":"L.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":351864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Booth, Nathaniel L. nlbooth@usgs.gov","contributorId":651,"corporation":false,"usgs":true,"family":"Booth","given":"Nathaniel L.","email":"nlbooth@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":351863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunicki, Thomas C. tkunicki@usgs.gov","contributorId":4609,"corporation":false,"usgs":true,"family":"Kunicki","given":"Thomas","email":"tkunicki@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":351866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Jordan I. 0000-0003-2226-3373 jiwalker@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-3373","contributorId":4608,"corporation":false,"usgs":true,"family":"Walker","given":"Jordan","email":"jiwalker@usgs.gov","middleInitial":"I.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351865,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Viger, Roland J.","contributorId":97528,"corporation":false,"usgs":true,"family":"Viger","given":"Roland J.","affiliations":[],"preferred":false,"id":351867,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70004547,"text":"70004547 - 2011 - How restructuring river connectivity changes freshwater fish biodiversity and biogeography","interactions":[],"lastModifiedDate":"2021-05-21T19:32:27.547243","indexId":"70004547","displayToPublicDate":"2011-08-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"How restructuring river connectivity changes freshwater fish biodiversity and biogeography","docAbstract":"Interbasin water transfer projects, in which river connectivity is restructured via man-made canals, are an increasingly popular solution to address the spatial mismatch between supply and demand of fresh water. However, the ecological consequences of such restructuring remain largely unexplored, and there are no general theoretical guidelines from which to derive these expectations. River systems provide excellent opportunities to explore how network connectivity shapes habitat occupancy, community dynamics, and biogeographic patterns. We apply a neutral model (which assumes competitive equivalence among species within a stochastic framework) to an empirically derived river network to explore how proposed changes in network connectivity may impact patterns of freshwater fish biodiversity. Without predicting the responses of individual extant species, we find the addition of canals connecting hydrologically isolated river basins facilitates the spread of common species and increases average local species richness without changing the total species richness of the system. These impacts are sensitive to the parameters controlling the spatial scale of fish dispersal, with increased dispersal affording more opportunities for biotic restructuring at the community and landscape scales. Connections between isolated basins have a much larger effect on local species richness than those connecting reaches within a river basin, even when those within-basin reaches are far apart. As a result, interbasin canal projects have the potential for long-term impacts to continental-scale riverine communities.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2010WR010330","usgsCitation":"Lynch, H.L., Campbell Grant, E.H., Muneepeerakul, R., Arunachalam, M., Rodriguez-Iturbe, I., and Fagan, W., 2011, How restructuring river connectivity changes freshwater fish biodiversity and biogeography: Water Resources Research, v. 47, W05531, 10 p., https://doi.org/10.1029/2010WR010330.","productDescription":"W05531, 10 p.","numberOfPages":"10","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204106,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","noUsgsAuthors":false,"publicationDate":"2011-05-21","publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62bd75","contributors":{"authors":[{"text":"Lynch, Heather L.","contributorId":29274,"corporation":false,"usgs":true,"family":"Lynch","given":"Heather","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":350684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":350682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muneepeerakul, Rachata","contributorId":66130,"corporation":false,"usgs":true,"family":"Muneepeerakul","given":"Rachata","email":"","affiliations":[],"preferred":false,"id":350686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arunachalam, Muthukumarasamy","contributorId":44046,"corporation":false,"usgs":true,"family":"Arunachalam","given":"Muthukumarasamy","email":"","affiliations":[],"preferred":false,"id":350685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez-Iturbe, Ignacio","contributorId":24234,"corporation":false,"usgs":true,"family":"Rodriguez-Iturbe","given":"Ignacio","email":"","affiliations":[],"preferred":false,"id":350683,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fagan, William F.","contributorId":108239,"corporation":false,"usgs":true,"family":"Fagan","given":"William F.","affiliations":[],"preferred":false,"id":350687,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70005040,"text":"ds607 - 2011 - Physical, chemical, and mineralogical data from surficial deposits, groundwater levels, and water composition in the area of Franklin Lake playa and Ash Meadows, California and Nevada","interactions":[],"lastModifiedDate":"2012-02-10T00:11:59","indexId":"ds607","displayToPublicDate":"2011-08-04T00:00:00","publicationYear":"2011","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":"607","title":"Physical, chemical, and mineralogical data from surficial deposits, groundwater levels, and water composition in the area of Franklin Lake playa and Ash Meadows, California and Nevada","docAbstract":"This report presents data and describes the methods used to determine the physical attributes, as well as the chemical and mineralogical composition of surficial deposits; groundwater levels; and water composition in the area of Franklin Lake playa and Ash Meadows, California and Nevada.\n\nThe results support studies that examine (1) the interaction between groundwater and the ground surface, and the transport of solutes through the unsaturated zone; (2) the potential for the accumulation of metals and metalloids in surface crusts; (3) emission of dust from metal-rich salt crust; and (4) the effects of metal-rich dusts on human and ecosystem health.\n\nThe evaporation of shallow (<3 to 4 m) groundwater in saline, arid environments commonly results in the accumulation of salt in the subsurface and (or) the formation of salt crusts at the ground surface. Ground-surface characteristics such as hardness, electrical conductivity, and mineralogy depend on the types and forms of these salt crusts. In the study area, salt crusts range from hard and bedded to soft and loose (Reynolds and others, 2009). Depending on various factors such as the depth and composition of groundwater and sediment characteristics of the unsaturated zone, salt crusts may accumulate relatively high contents of trace elements.\n\nSoft, loose salt crusts are highly vulnerable to wind erosion and transport. These vulnerable crusts, which may contain high contents of potentially toxic trace elements, can travel as atmospheric dust and affect human and ecosystem health at local to regional scales.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds607","usgsCitation":"Goldstein, H., Breit, G.N., Yount, J., Reynolds, R.L., Reheis, M., Skipp, G.L., Fisher, E.M., and Lamothe, P.J., 2011, Physical, chemical, and mineralogical data from surficial deposits, groundwater levels, and water composition in the area of Franklin Lake playa and Ash Meadows, California and Nevada: U.S. Geological Survey Data Series 607, v, 12 p.; Tables; Downloads Directory, https://doi.org/10.3133/ds607.","productDescription":"v, 12 p.; Tables; Downloads Directory","startPage":"i","endPage":"153","numberOfPages":"158","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":116739,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_607.png"},{"id":24521,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/607/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada;California;Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.91666666666667,33.5 ], [ -117.91666666666667,37.75 ], [ -114,37.75 ], [ -114,33.5 ], [ -117.91666666666667,33.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685a52","contributors":{"authors":[{"text":"Goldstein, Harland L.","contributorId":32999,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland L.","affiliations":[],"preferred":false,"id":351877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":351874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yount, James C.","contributorId":39341,"corporation":false,"usgs":true,"family":"Yount","given":"James C.","affiliations":[],"preferred":false,"id":351878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":441,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":true,"id":351872,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reheis, Marith C. 0000-0002-8359-323X","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":101244,"corporation":false,"usgs":true,"family":"Reheis","given":"Marith C.","affiliations":[],"preferred":false,"id":351879,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Skipp, Gary L. 0000-0002-9404-0980 gskipp@usgs.gov","orcid":"https://orcid.org/0000-0002-9404-0980","contributorId":2102,"corporation":false,"usgs":true,"family":"Skipp","given":"Gary","email":"gskipp@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":351875,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fisher, Eric M.","contributorId":14262,"corporation":false,"usgs":true,"family":"Fisher","given":"Eric","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":351876,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lamothe, Paul J. plamothe@usgs.gov","contributorId":1298,"corporation":false,"usgs":true,"family":"Lamothe","given":"Paul","email":"plamothe@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":351873,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70003312,"text":"70003312 - 2011 - Accuracy of flowmeters measuring horizontal groundwater flow in an unconsolidated aquifer simulator.","interactions":[],"lastModifiedDate":"2013-02-24T11:13:29","indexId":"70003312","displayToPublicDate":"2011-08-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1864,"text":"Ground Water Monitoring and Remediation","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy of flowmeters measuring horizontal groundwater flow in an unconsolidated aquifer simulator.","docAbstract":"Borehole flowmeters that measure horizontal flow velocity and direction of groundwater flow are being increasingly applied to a wide variety of environmental problems. This study was carried out to evaluate the measurement accuracy of several types of flowmeters in an unconsolidated aquifer simulator. Flowmeter response to hydraulic gradient, aquifer properties, and well-screen construction was measured during 2003 and 2005 at the U.S. Geological Survey Hydrologic Instrumentation Facility in Bay St. Louis, Mississippi. The flowmeters tested included a commercially available heat-pulse flowmeter, an acoustic Doppler flowmeter, a scanning colloidal borescope flowmeter, and a fluid-conductivity logging system. Results of the study indicated that at least one flowmeter was capable of measuring borehole flow velocity and direction in most simulated conditions. The mean error in direction measurements ranged from 15.1 degrees to 23.5 degrees and the directional accuracy of all tested flowmeters improved with increasing hydraulic gradient. The range of Darcy velocities examined in this study ranged 4.3 to 155 ft/d. For many plots comparing the simulated and measured Darcy velocity, the squared correlation coefficient (r<sup>2</sup>) exceeded 0.92. The accuracy of velocity measurements varied with well construction and velocity magnitude. The use of horizontal flowmeters in environmental studies appears promising but applications may require more than one type of flowmeter to span the range of conditions encountered in the field. Interpreting flowmeter data from field settings may be complicated by geologic heterogeneity, preferential flow, vertical flow, constricted screen openings, and nonoptimal screen orientation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water Monitoring and Remediation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1745-6592.2010.01324.x","usgsCitation":"Bayless, E., Mandell, W.A., and Ursic, J.R., 2011, Accuracy of flowmeters measuring horizontal groundwater flow in an unconsolidated aquifer simulator.: Ground Water Monitoring and Remediation, v. 31, no. 2, p. 48-62, https://doi.org/10.1111/j.1745-6592.2010.01324.x.","productDescription":"15 p.","startPage":"48","endPage":"62","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":203999,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268116,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6592.2010.01324.x"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-10","publicationStatus":"PW","scienceBaseUri":"4f4e4b13e4b07f02db6a33c7","contributors":{"authors":[{"text":"Bayless, E.R.","contributorId":67639,"corporation":false,"usgs":true,"family":"Bayless","given":"E.R.","email":"","affiliations":[],"preferred":false,"id":346852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mandell, Wayne A.","contributorId":70443,"corporation":false,"usgs":true,"family":"Mandell","given":"Wayne","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":346853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ursic, James R.","contributorId":14863,"corporation":false,"usgs":true,"family":"Ursic","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":346851,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004873,"text":"70004873 - 2011 - Conservation genetics of evolutionary lineages of the endangered mountain yellow-legged frog, Rana muscosa (Amphibia: Ranidae), in southern California","interactions":[],"lastModifiedDate":"2013-03-17T20:38:56","indexId":"70004873","displayToPublicDate":"2011-08-03T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Conservation genetics of evolutionary lineages of the endangered mountain yellow-legged frog, Rana muscosa (Amphibia: Ranidae), in southern California","docAbstract":"Severe population declines led to the listing of southern California Rana muscosa (Ranidae) as endangered in 2002. Nine small populations inhabit watersheds in three isolated mountain ranges, the San Gabriel, San Bernardino and San Jacinto. One population from the Dark Canyon tributary in the San Jacinto Mountains has been used to establish a captive breeding population at the San Diego Zoo Institute for Conservation Research. Because these populations may still be declining, it is critical to gather information on how genetic variation is structured in these populations and what historical inter-population connectivity existed between populations. Additionally, it is not clear whether these populations are rapidly losing genetic diversity due to population bottlenecks. Using mitochondrial and microsatellite data, we examine patterns of genetic variation in southern California and one of the last remaining populations of R. muscosa in the southern Sierra Nevada. We find low levels of genetic variation within each population and evidence of genetic bottlenecks. Additionally, substantial population structure is evident, suggesting a high degree of historical isolation within and between mountain ranges. Based on estimates from a multi-population isolation with migration analysis, these populations diversified during glacial episodes of the Pleistocene, with little gene flow during population divergence. Our data demonstrate that unique evolutionary lineages of R. muscosa occupy each mountain range in southern California and should be managed separately. The captive breeding program at Dark Canyon is promising, although mitigating the loss of neutral genetic diversity relative to the natural population might require additional breeding frogs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.biocon.2011.04.025","usgsCitation":"Schoville, S.D., Tustall, T.S., Vredenburg, V.T., Backlin, A.R., Gallegos, E., Wood, D.A., and Fisher, R.N., 2011, Conservation genetics of evolutionary lineages of the endangered mountain yellow-legged frog, Rana muscosa (Amphibia: Ranidae), in southern California: Biological Conservation, v. 144, no. 7, p. 2031-2040, https://doi.org/10.1016/j.biocon.2011.04.025.","productDescription":"10 p.","startPage":"2031","endPage":"2040","numberOfPages":"10","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":203935,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269534,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2011.04.025"}],"country":"United States","state":"California","volume":"144","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699da8","contributors":{"authors":[{"text":"Schoville, Sean D.","contributorId":31889,"corporation":false,"usgs":true,"family":"Schoville","given":"Sean","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":351544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tustall, Tate S.","contributorId":26418,"corporation":false,"usgs":true,"family":"Tustall","given":"Tate","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":351543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vredenburg, Vance T.","contributorId":104609,"corporation":false,"usgs":true,"family":"Vredenburg","given":"Vance","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":351545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":351541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gallegos, Elizabeth 0000-0002-8402-2631 egallegos@usgs.gov","orcid":"https://orcid.org/0000-0002-8402-2631","contributorId":1528,"corporation":false,"usgs":true,"family":"Gallegos","given":"Elizabeth","email":"egallegos@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":351539,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wood, Dustin A. 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":4179,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":351542,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":351540,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70005011,"text":"sir20115124 - 2011 - Hydrogeologic framework and hydrologic budget components of the Columbia Plateau Regional Aquifer System, Washington, Oregon, and Idaho","interactions":[],"lastModifiedDate":"2012-03-08T17:16:41","indexId":"sir20115124","displayToPublicDate":"2011-08-02T00:00:00","publicationYear":"2011","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":"2011-5124","title":"Hydrogeologic framework and hydrologic budget components of the Columbia Plateau Regional Aquifer System, Washington, Oregon, and Idaho","docAbstract":"The Columbia Plateau Regional Aquifer System (CPRAS) covers an area of about 44,000 square miles in a structural and topographic basin within the drainage of the Columbia River in Washington, Oregon, and Idaho. The primary aquifers are basalts of the Columbia River Basalt Group (CRBG) and overlying sediment. Eighty percent of the groundwater use in the study area is for irrigation, in support of a $6 billion per year agricultural economy. Water-resources issues in the Columbia Plateau include competing agricultural, domestic, and environmental demands. Groundwater levels were measured in 470 wells in 1984 and 2009; water levels declined in 83 percent of the wells, and declines greater than 25 feet were measured in 29 percent of the wells. Conceptually, the system is a series of productive basalt aquifers consisting of permeable interflow zones separated by less permeable flow interiors; in places, sedimentary aquifers overly the basalts. The aquifer system of the CPRAS includes seven hydrogeologic units-the overburden aquifer, three aquifer units in the permeable basalt rock, two confining units, and a basement confining unit. The overburden aquifer includes alluvial and colluvial valley-fill deposits; the three basalt units are the Saddle Mountains, Wanapum, and Grande Ronde Basalts and their intercalated sediments. The confining units are equivalent to the Saddle Mountains-Wanapum and Wanapum-Grande Ronde interbeds, referred to in this study as the Mabton and Vantage Interbeds, respectively. The basement confining unit, referred to as Older Bedrock, consists of pre-CRBG rocks that generally have much lower permeabilities than the basalts and are considered the base of the regional flow system. Based on specific-capacity data, median horizontal hydraulic conductivity (Kh) values for the overburden, basalt units, and bedrock are 161, 70, and 6 feet per day, respectively. Analysis of oxygen isotopes in water and carbon isotopes in dissolved inorganic carbon from groundwater samples indicates that groundwater in the CPRAS ranges in age from modern (<50 years) to Pleistocene (>10,000 years). The oldest groundwater resides in deep, downgradient locations indicating that groundwater movement and replenishment in parts of this regional aquifer system have operated on long timescales under past natural conditions, which is consistent with the length and depth of long flow paths in the system. The mean annual recharge from infiltration of precipitation for the 23-year period 1985-2007 was estimated to be 4.6 inches per year (14,980 cubic feet per second) using a polynomial regression equation based on annual precipitation and the results of recharge modeling done in the 1980s. A regional-scale hydrologic budget was developed using a monthly SOil WATer (SOWAT) Balance model to estimate irrigation-water demand, groundwater flux (recharge or discharge), direct runoff, and soil moisture within irrigated areas. Mean monthly irrigation throughout the study area peaks in July at 1.6 million acre-feet (MAF), of which 0.45 and 1.15 MAF are from groundwater and surface-water sources, respectively. Annual irrigation water use in the study area averaged 5.3 MAF during the period 1985-2007, with 1.4 MAF (or 26 percent) supplied from groundwater and 3.9 MAF supplied from surface water. Mean annual recharge from irrigation return flow in the study area was 4.2 MAF (1985-2007) with 2.1 MAF (50 percent) occurring within the predominately surface-water irrigated regions of the study area. Annual groundwater-use estimates were made for public supply, self-supplied domestic, industrial, and other uses for the period 1984 through 2009. Public supply groundwater use within the study area increased from 200,600 acre-feet per year (acre-ft/yr) in 1984 to 269,100 acre-ft/yr in 2009. Domestic self-supplied groundwater use increased from 54,580 acre-ft/yr in 1984 to 71,160 acre-ft/yr in 2009. Industrial groundwater use decreased from 53,390 acre-ft/yr in 1984 t","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115124","collaboration":"Groundwater Resources Program","usgsCitation":"Kahle, S.C., Morgan, D.S., Welch, W., Ely, D., Hinkle, S., Vaccaro, J.J., and Orzol, L., 2011, Hydrogeologic framework and hydrologic budget components of the Columbia Plateau Regional Aquifer System, Washington, Oregon, and Idaho: U.S. Geological Survey Scientific Investigations Report 2011-5124, x, 63 p.; Appendix, https://doi.org/10.3133/sir20115124.","productDescription":"x, 63 p.; Appendix","additionalOnlineFiles":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":116145,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5124.jpg"},{"id":24486,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5124/","linkFileType":{"id":5,"text":"html"}}],"state":"Washington;Oregon;Idaho","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ee4b07f02db627d96","contributors":{"authors":[{"text":"Kahle, S. C.","contributorId":46992,"corporation":false,"usgs":true,"family":"Kahle","given":"S.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":351817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morgan, D. S.","contributorId":19184,"corporation":false,"usgs":true,"family":"Morgan","given":"D.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":351815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welch, W.B.","contributorId":53895,"corporation":false,"usgs":true,"family":"Welch","given":"W.B.","affiliations":[],"preferred":false,"id":351819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ely, D.M.","contributorId":33356,"corporation":false,"usgs":true,"family":"Ely","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":351816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hinkle, S.R.","contributorId":74778,"corporation":false,"usgs":true,"family":"Hinkle","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":351821,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vaccaro, J. J.","contributorId":48173,"corporation":false,"usgs":true,"family":"Vaccaro","given":"J.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":351818,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Orzol, L.L.","contributorId":63419,"corporation":false,"usgs":true,"family":"Orzol","given":"L.L.","affiliations":[],"preferred":false,"id":351820,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70005010,"text":"fs20113057 - 2011 - Delivering climate science for the nation's fish, wildlife, and ecosystems: The U.S. Geological Survey National Climate Change and Wildlife Science Center","interactions":[],"lastModifiedDate":"2020-12-10T15:46:11.672579","indexId":"fs20113057","displayToPublicDate":"2011-08-02T00:00:00","publicationYear":"2011","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":"2011-3057","displayTitle":"Delivering Climate Science for the Nation's Fish, Wildlife, and Ecosystems: The U.S. Geological Survey National Climate Change and Wildlife Science Center","title":"Delivering climate science for the nation's fish, wildlife, and ecosystems: The U.S. Geological Survey National Climate Change and Wildlife Science Center","docAbstract":"Changes to the Earth's climate-temperature, precipitation, and other important aspects of climate-pose significant challenges to our Nation's natural resources now and will continue to do so. Managers of land, water, and living resources need to understand the impacts of climate change-which will exacerbate ongoing stresses such as habitat fragmentation and invasive species-so they can design effective response strategies. In 2008 Congress created the National Climate Change and Wildlife Science Center (NCCWSC) within the U.S. Geological Survey (USGS); this center was formed to address challenges resulting from climate change and to empower natural resource managers with rigorous scientific information and effective tools for decision-making. Located at the USGS National Headquarters in Reston, Virginia, the NCCWSC has invested over $20M in cutting-edge climate change research and is now leading the effort to establish eight regional Department of the Interior (DOI) Climate Science Centers (CSCs).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113057","usgsCitation":"Beard, T., 2011, Delivering climate science for the nation's fish, wildlife, and ecosystems: The U.S. Geological Survey National Climate Change and Wildlife Science Center: U.S. Geological Survey Fact Sheet 2011-3057, 2 p., https://doi.org/10.3133/fs20113057.","productDescription":"2 p.","ipdsId":"IP-028562","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":116146,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3057.gif"},{"id":24485,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3057/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab2e4b07f02db66f433","contributors":{"authors":[{"text":"Beard, T. Douglas Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":3314,"corporation":false,"usgs":true,"family":"Beard","given":"T. Douglas","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":351814,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005008,"text":"sir20115108 - 2011 - Environmental factors that influence the location of crop agriculture in the conterminous United States","interactions":[],"lastModifiedDate":"2015-03-18T11:19:09","indexId":"sir20115108","displayToPublicDate":"2011-08-02T00:00:00","publicationYear":"2011","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":"2011-5108","title":"Environmental factors that influence the location of crop agriculture in the conterminous United States","docAbstract":"<p>This report presents and describes high-resolution geospatial data identifying the range of environmental conditions that influence the location of cropped agricultural lands in the conterminous United States. Also presented are estimates of the extent of land where environmental constraints limit agricultural production (marginal land) and the extents of land where modifications overcome environmental constraints. The report is the result of the compilation and manipulation of datasets from numerous sources; it consists of an explanatory text and a series of appendixes and associated tables that document the data sources and data-manipulation methods in detail.</p>\n<p><br /> Environmental factors that influence the extent of crop agriculture are terrain, climate, soil properties, and soil water. It is the combination of these four factors that allow specific crops to be grown in certain areas. Today, in order to maximize production, most of the cultivated croplands and grasslands for commercial agriculture are in areas where crops and livestock are well suited to local conditions. In the United States, cropland (row crops, closely sown crops (except hay), fruits, nuts, vegetables) occupies about 13 percent of the total land area. Grassland and rangeland occupy another 41 percent of the land area.</p>\n<p>Most crops are grown on land with shallow slope where the temperature, precipitation, and soils are favorable. In areas that are too steep, wet, or dry, landscapes have been modified to allow cultivation. Some of the limitations of the environmental factors that determine the location of agriculture can be overcome through modifications, but others cannot. On a larger-than-field scale, agricultural modifications commonly influence water availability through irrigation and (or) drainage and soil fertility and (or) organic-matter content through amendments such as manure, commercial fertilizer and lime. In general, it is not feasible to modify the other environmental factors, soil texture, soil depth, soil mineralogy, temperature, and terrain at large scales. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115108","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Baker, N.T., and Capel, P.D., 2011, Environmental factors that influence the location of crop agriculture in the conterminous United States: U.S. Geological Survey Scientific Investigations Report 2011-5108, x, 35 p.; Appendices; Appendices 1-8; Appendix 2 Table; Appendix 8 Table, https://doi.org/10.3133/sir20115108.","productDescription":"x, 35 p.; Appendices; Appendices 1-8; Appendix 2 Table; Appendix 8 Table","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":116181,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5108.gif"},{"id":298702,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5108/pdf/SIR2011_5108.pdf","text":"Report","size":"17.6 MB"},{"id":24484,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5108/","linkFileType":{"id":5,"text":"html"}}],"county":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65dd96","contributors":{"authors":[{"text":"Baker, Nancy T. 0000-0002-7979-5744 ntbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":1955,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"ntbaker@usgs.gov","middleInitial":"T.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":351813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capel, Paul D. 0000-0003-1620-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1620-5185","contributorId":1002,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":351812,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70004037,"text":"70004037 - 2011 - Assessment of the geomorphic effects of large floods using streamgage data: The 1951 floods in eastern Kansas, USA","interactions":[],"lastModifiedDate":"2021-05-20T20:21:57.357387","indexId":"70004037","displayToPublicDate":"2011-08-02T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3059,"text":"Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of the geomorphic effects of large floods using streamgage data: The 1951 floods in eastern Kansas, USA","docAbstract":"<p><span>Data from 23 U.S. Geological Survey (USGS) streamgages were analyzed to assess the geomorphic effects (short-term change and subsequent recovery) of the record 1951 floods on streams in eastern Kansas. Flood-related, channel-bed elevation change was indicated for 17 gage sites, with substantial deposition at five sites and substantial erosion at two sites. An assessment of post-flood bed elevation recovery was possible for several sites. While recovery to pre-flood channel-bed elevation occurred over a period of months to years at some sites, at other sites recovery was incomplete or absent. Floodrelated channel widening with partial recovery was indicated for one site and possible channel widening was indicated for two sites. It was demonstrated that an analysis of streamgage data is a potentially useful technique for assessing the geomorphic effects of a large flood at a site, provided that the gage has a long period of record and is located on an alluvial channel. In the absence of other lines of evidence, streamgage data can provide an estimate of the direction and magnitude (net) of geomorphic change that otherwise might not be available or attainable.</span></p>","language":"English","publisher":"Taylor & Francis","publisherLocation":"Columbia, MD","doi":"10.2747/0272-3646.32.1.52","usgsCitation":"Bowen, M.W., and Juracek, K.E., 2011, Assessment of the geomorphic effects of large floods using streamgage data: The 1951 floods in eastern Kansas, USA: Physical Geography, v. 32, no. 1, p. 52-77, https://doi.org/10.2747/0272-3646.32.1.52.","productDescription":"26 p.","startPage":"52","endPage":"77","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":203939,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"scale":"2000000","projection":"Albers Equal-Area Conic projection","country":"United States","state":"Kansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102,37 ], [ -102,40 ], [ -94.5,40 ], [ -94.5,37 ], [ -102,37 ] ] ] } } ] }","volume":"32","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"4f4e4abae4b07f02db671d2b","contributors":{"authors":[{"text":"Bowen, Mark W.","contributorId":67638,"corporation":false,"usgs":true,"family":"Bowen","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":350257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":350256,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148186,"text":"70148186 - 2011 - Implications of discontinuous elevation gradients on fragmentation and restoration in patterned wetlands","interactions":[],"lastModifiedDate":"2016-07-08T15:20:06","indexId":"70148186","displayToPublicDate":"2011-08-01T11:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Implications of discontinuous elevation gradients on fragmentation and restoration in patterned wetlands","docAbstract":"<p>Large wetlands around the world face the possibility of degradation, not only from complete conversion, but also from subtle changes in their structure and function. While fragmentation and isolation of wetlands within heterogeneous landscapes has received much attention, the disruption of spatial patterns/processes within large wetland systems and the resulting fragmentation of community components are less well documented. A greater understanding of pattern/process relationships and landscape gradients, and what occurs when they are altered, could help avoid undesirable consequences of restoration actions. The objective of this study is to determine the amount of fragmentation of sawgrass ridges due to artificial impoundment of water and how that may be differentially affected by spatial position relative to north and south levees. We also introduce groundbreaking evidence of landscape-level discontinuous elevation gradients within WCA3AS by comparing generalized linear and generalized additive models. These relatively abrupt breaks in elevation may have non-linear effects on hydrology and vegetation communities and would be crucial in restoration considerations. Modeling suggests there are abrupt breaks in elevation as a function of northing (<i>Y</i>-coordinate). Fragmentation indices indicate that fragmentation is a function of elevation and easting (<i>X</i>-coordinate), and that fragmentation has increased from 1988-2002. When landscapes change and the changes are compounded by non-linear landscape variables that are described herein, the maintenance processes change with them, creating a degraded feedback loop that alters the system's response to structuring variables and diminishes our ability to predict the effects of restoration projects or climate change. Only when these landscape variables and linkages are clearly defined can we predict the response to potential perturbations and apply the knowledge to other landscape-level wetland systems in need of future restoration.</p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1890/ES11-00119.1","usgsCitation":"Zweig, C.L., Reichert, B.E., and Kitchens, W.M., 2011, Implications of discontinuous elevation gradients on fragmentation and restoration in patterned wetlands: Ecosphere, v. 2, no. 8, p. 1-14, https://doi.org/10.1890/ES11-00119.1.","productDescription":"14 p.","startPage":"1","endPage":"14","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025577","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":474948,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es11-00119.1","text":"Publisher Index Page"},{"id":300774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades, Water Conservation Area 3A","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.88272094726561,\n              25.764030136696327\n            ],\n            [\n              -80.88272094726561,\n              26.33280692289788\n            ],\n            [\n              -80.37872314453125,\n              26.33280692289788\n            ],\n            [\n              -80.37872314453125,\n              25.764030136696327\n            ],\n            [\n              -80.88272094726561,\n              25.764030136696327\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","issue":"8","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55659948e4b0d9246a9eb629","contributors":{"authors":[{"text":"Zweig, Christa L.","contributorId":99767,"corporation":false,"usgs":true,"family":"Zweig","given":"Christa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":547590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":22166,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":547591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kitchens, Wiley M. kitchensw@usgs.gov","contributorId":2851,"corporation":false,"usgs":true,"family":"Kitchens","given":"Wiley","email":"kitchensw@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":547545,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004994,"text":"ofr20101332 - 2011 - GLORIA sidescan-sonar imagery for parts of the U.S. Exclusive Economic Zone and adjacent areas","interactions":[],"lastModifiedDate":"2022-12-01T19:42:14.437278","indexId":"ofr20101332","displayToPublicDate":"2011-08-01T00:00:00","publicationYear":"2011","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":"2010-1332","title":"GLORIA sidescan-sonar imagery for parts of the U.S. Exclusive Economic Zone and adjacent areas","docAbstract":"In 1983, President Ronald Reagan signed a Proclamation establishing the Exclusive Economic Zone (EEZ) of the United States extending its territory 200 nautical miles from the coasts of the United States, Puerto Rico, the Northern Mariana Islands, and other U.S. territories and possessions. 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F.","contributorId":81907,"corporation":false,"usgs":true,"family":"Paskevich","given":"Valerie","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":351791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":351787,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Malley, John J.","contributorId":11892,"corporation":false,"usgs":true,"family":"O'Malley","given":"John J.","affiliations":[],"preferred":false,"id":351788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stevenson, Andrew J.","contributorId":18830,"corporation":false,"usgs":true,"family":"Stevenson","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":351789,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gutmacher, Christina E.","contributorId":28272,"corporation":false,"usgs":true,"family":"Gutmacher","given":"Christina","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":351790,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70004991,"text":"sir20115129 - 2011 - Hydrogeologic framework, groundwater movement, and water budget in the Chimacum Creek basin and vicinity, Jefferson County, Washington","interactions":[],"lastModifiedDate":"2022-04-15T19:04:40.898124","indexId":"sir20115129","displayToPublicDate":"2011-08-01T00:00:00","publicationYear":"2011","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":"2011-5129","title":"Hydrogeologic framework, groundwater movement, and water budget in the Chimacum Creek basin and vicinity, Jefferson County, Washington","docAbstract":"This report presents information used to characterize the groundwater flow system in the Chimacum Creek basin. It includes descriptions of the geology and hydrogeologic framework; groundwater recharge and discharge; groundwater levels and flow directions; seasonal fluctuations in groundwater level; interactions between aquifers and the surface-water system; and a groundwater budget. The study area covers 124 square miles in northeastern Jefferson County, Washington, and includes the Chimacum Creek basin, which drains an area of about 37 square miles. The area is underlain by a north-thickening sequence of unconsolidated glacial and interglacial deposits that overlie sedimentary and igneous bedrock units that crop out along the margins and western interior of the study area. Six hydrogeologic units consisting of unconsolidated aquifers and confining units, along with an underlying bedrock unit, were identified. A surficial hydrogeologic map was developed and used with well information from 187 drillers' logs to construct 4 hydrogeologic sections, and maps showing the extent and thickness of the units. Natural recharge was estimated using precipitation-recharge relation regression equations developed for western Washington, and estimates were calculated for return flow from data on domestic indoor and outdoor use and irrigated agriculture. Results from synoptic streamflow measurements and water table elevations determined from monthly measurements at monitoring wells are presented and compared with those from a study conducted during 2002-03. A water budget was calculated comprising long-term average recharge, domestic public-supply withdrawals and return flow, self-supplied domestic withdrawals and return flow, and irrigated agricultural withdrawals and return flow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115129","usgsCitation":"Jones, J.L., Welch, W.B., Frans, L.M., and Olsen, T.D., 2011, Hydrogeologic framework, groundwater movement, and water budget in the Chimacum Creek basin and vicinity, Jefferson County, Washington: U.S. Geological Survey Scientific Investigations Report 2011-5129, Report: vi, 28 p.; 1 Plate: 32.48 x 24.08 inches, https://doi.org/10.3133/sir20115129.","productDescription":"Report: vi, 28 p.; 1 Plate: 32.48 x 24.08 inches","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":116177,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5129.bmp"},{"id":398855,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95358.htm"},{"id":24471,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5129/","linkFileType":{"id":5,"text":"html"}}],"scale":"50000","country":"United States","state":"Washington","county":"Jefferson County","otherGeospatial":"Chimacum Creek Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.8739,\n              47.9011\n            ],\n            [\n              -122.6533,\n              47.9011\n            ],\n            [\n              -122.6533,\n              48.07667\n            ],\n            [\n              -122.8739,\n              48.0767\n            ],\n            [\n              -122.8739,\n              47.9011\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ee4b07f02db6279be","contributors":{"authors":[{"text":"Jones, Joseph L. jljones@usgs.gov","contributorId":3492,"corporation":false,"usgs":true,"family":"Jones","given":"Joseph","email":"jljones@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welch, Wendy B. wwelch@usgs.gov","contributorId":1645,"corporation":false,"usgs":true,"family":"Welch","given":"Wendy","email":"wwelch@usgs.gov","middleInitial":"B.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":351785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frans, Lonna M. 0000-0002-3217-1862 lmfrans@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-1862","contributorId":1493,"corporation":false,"usgs":true,"family":"Frans","given":"Lonna","email":"lmfrans@usgs.gov","middleInitial":"M.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olsen, Theresa D. 0000-0003-4099-4057 tdolsen@usgs.gov","orcid":"https://orcid.org/0000-0003-4099-4057","contributorId":1644,"corporation":false,"usgs":true,"family":"Olsen","given":"Theresa","email":"tdolsen@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351784,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70004984,"text":"ofr20111121 - 2011 - Surficial geologic map of the Elizabethtown 30' x 60' quadrangle, North Carolina","interactions":[],"lastModifiedDate":"2022-04-15T19:00:39.034778","indexId":"ofr20111121","displayToPublicDate":"2011-07-29T00:00:00","publicationYear":"2011","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":"2011-1121","title":"Surficial geologic map of the Elizabethtown 30' x 60' quadrangle, North Carolina","docAbstract":"The Elizabethtown 30' x 60' quadrangle is located in southeastern North Carolina between Fayetteville and Wilmington. Most of the area is flat to gently rolling, although steep slopes occur locally along some of the larger streams. Total relief in the area is slightly over 210 feet (ft), with elevations ranging from slightly less than 10 ft above sea level along the Black River (east of Rowan in the southeastern corner of the map) to slightly over 220 ft in the northwestern corner northeast of Hope Mills. The principal streams in the area are the Cape Fear, Black, South, and Lumber Rivers, which on average flow from northwest to southeast across the map area. The principal north-south roads are Interstate Route 95, Interstate Route 40, U.S. Route 117, U.S. Route 301, U.S. Route 421, and U.S. Route 701, and the principal east-west roads are N.C. State Route 241 and N.C. State Route 41. This part of North Carolina is primarily rural and agricultural. The largest communities in and adjacent to the area are Elizabethtown, Hope Mills, Clinton, Warsaw, and Lumberton. The map lies entirely within the Atlantic Coastal Plain physiographic province. Outstanding features of this area are the large number of sand-rimmed Carolina bays, five of which contain enough water to constitute natural lakes: Bay Tree Lake, Salter Lake, Little Singletary Lake, Singletary Lake, and White Lake. These are associated with widespread windblown sand deposits on which are grown abundant crops of blueberries. The extent and distribution of these deposits have been estimated based on a combination of augerhole, outcrop, and light-detection and ranging (LIDAR) data.\n\nThe geology of the Elizabethtown 30' x 60' quadrangle was originally mapped on 32 7.5-minute quadrangles at 1:24,000 scale and then compiled on this 1:100,000-scale base. The base-map topographic contours on this compilation are shown in meters; the cross sections, structure contours, and well and corehole basement elevations have been carried over unconverted from the 1:24,000-scale maps and are shown in feet.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111121","usgsCitation":"Weems, R.E., Lewis, W., and Crider, E.A., 2011, Surficial geologic map of the Elizabethtown 30' x 60' quadrangle, North Carolina: U.S. Geological Survey Open-File Report 2011-1121, 1 Sheet: 63.92 x 42.01 inches; Downloads Directory, https://doi.org/10.3133/ofr20111121.","productDescription":"1 Sheet: 63.92 x 42.01 inches; Downloads Directory","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":116187,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1121.gif"},{"id":398854,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95361.htm"},{"id":24465,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1121/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American datum 1927","country":"United States","state":"North Carolina","city":"Elizabethtown","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79,34.5 ], [ -79,35 ], [ -78,35 ], [ -78,34.5 ], [ -79,34.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4c10","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":351763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, William C.","contributorId":50878,"corporation":false,"usgs":true,"family":"Lewis","given":"William C.","affiliations":[],"preferred":false,"id":351764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crider, E. Allen","contributorId":93992,"corporation":false,"usgs":true,"family":"Crider","given":"E.","email":"","middleInitial":"Allen","affiliations":[],"preferred":false,"id":351765,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004981,"text":"sir20115078 - 2011 - A water-budget model and assessment of groundwater recharge for the Island of Hawai'i","interactions":[],"lastModifiedDate":"2022-01-07T19:04:02.580289","indexId":"sir20115078","displayToPublicDate":"2011-07-29T00:00:00","publicationYear":"2011","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":"2011-5078","title":"A water-budget model and assessment of groundwater recharge for the Island of Hawai'i","docAbstract":"Concern surrounding increasing demand for groundwater on the Island of Hawai&#699;i, caused by a growing population and an increasing reliance on groundwater as a source for municipal and private water systems, has prompted a study of groundwater recharge on the island using the most current data and accepted methods. For this study, a daily water-budget model for the entire Island of Hawai&#699;i was developed and used to estimate mean recharge for various land-cover and rainfall conditions, and a submodel for the Kona area was developed and used to estimate historical groundwater recharge in the Kona area during the period 1984&ndash;2008. Estimated mean annual recharge on the Island of Hawai&#699;i is 6,594 million gallons per day, which is about 49 percent of mean annual rainfall. Recharge is highest on the windward slopes of Mauna Loa, below the tradewind inversion, and lowest on the leeward slopes of Kohala and Mauna Kea. Local recharge maxima also occur on (1) windward Kohala, with the exception of the northern tip, (2) windward Mauna Kea below the tradewind inversion, (3) windward K&#299;lauea, (4) the middle elevations of southeastern Mauna Loa, and (5) the lower-middle elevations of leeward Mauna Loa and southwestern Hual&#257;lai, in the Kona area. Local recharge minima also occur on (1) Mauna Kea and Mauna Loa, above the tradewind inversion, (2) the northern tip of Kohala, (3) leeward K&#299;lauea, (4) the southern tip of Mauna Loa, and (5) the northwestern slopes of Mauna Loa and Hual&#257;lai. In 18 of the 24 aquifer systems on the island, estimated mean annual recharge for baseline conditions was higher than the recharge estimates used in the 2008 State of Hawai&#699;i Water Resource Protection Plan (2008 WRPP). Baseline conditions for this study were 2008 land cover and mean annual rainfall from the period 1916&ndash;1983. Estimates of recharge for the M&#257;hukona, Waimea, and H&#257;w&#299; aquifer systems, however, were between 29 and 38 percent lower than the 2008 WRPP estimates, mainly because of much higher evapotranspiration estimates in this study compared to the 2008 WRPP. For the drought simulation (1991&ndash;95 rainfall), the estimates of recharge for these three aquifer systems were only 15 to 33 percent of the sustainable yields (maximum allowable pumping rates) set by the 2008 WRPP. This may be cause for concern, as these areas are experiencing a rapid growth in development and a related growth in water demand. Recent projections of change in rainfall owing to effects of ongoing climate change generally indicate a slight increase in islandwide rainfall, and estimates of annual recharge in the late 21st century are higher than baseline estimates for every aquifer system, except &#699;Anaeho&#699;omalu. On average, these aquifer-system recharge estimates are higher by about 8 percent compared to baseline estimates. In the Kona area, estimated groundwater recharge during the period 1984&ndash;2008 was highest during 2004&ndash;8 and lowest during 1999&ndash;2003, with the 1999&ndash;2003 recharge being about 50 percent of the 2004&ndash;8 recharge. These extremes in recharge coincided with the periods of lowest and highest mean rainfall, respectively. No seasonal pattern in recharge is discernible. Spatially, the highest recharge occurred in a belt about 4 miles wide running parallel to the coast about 2 miles inland. The sensitivity of recharge estimates to input parameters is related to the climate and land-cover conditions of the particular area of study. For the wet, forested areas characteristic of the windward side of the island, recharge was most sensitive to the ratio of runoff to rainfall. For the dry, grassland areas characteristic of the northwestern leeward side of the island, recharge was most sensitive to root depth. For the Kona area, characterized by moderate rainfall and a wide variety of land cover, recharge was most sensitive to the pan coefficient and canopy-evaporation rates in","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115078","usgsCitation":"Engott, J.A., 2011, A water-budget model and assessment of groundwater recharge for the Island of Hawai'i: U.S. Geological Survey Scientific Investigations Report 2011-5078, xi, 53 p., https://doi.org/10.3133/sir20115078.","productDescription":"xi, 53 p.","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1983-10-01","temporalEnd":"2008-09-30","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":116190,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5078.gif"},{"id":394041,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95355.htm"},{"id":24462,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5078/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator projection","datum":"NAD83","country":"United States","state":"Hawai'i","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.27227783203125,\n              18.828316252698386\n            ],\n            [\n              -154.742431640625,\n              18.828316252698386\n            ],\n            [\n              -154.742431640625,\n              20.357502636858204\n            ],\n            [\n              -156.27227783203125,\n              20.357502636858204\n            ],\n            [\n              -156.27227783203125,\n              18.828316252698386\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697a41","contributors":{"authors":[{"text":"Engott, John A. 0000-0003-1889-4519 jaengott@usgs.gov","orcid":"https://orcid.org/0000-0003-1889-4519","contributorId":1142,"corporation":false,"usgs":true,"family":"Engott","given":"John","email":"jaengott@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351756,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70004982,"text":"ofr20111163 - 2011 - Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California: 2010","interactions":[],"lastModifiedDate":"2022-01-20T21:45:03.511293","indexId":"ofr20111163","displayToPublicDate":"2011-07-29T00:00:00","publicationYear":"2011","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":"2011-1163","title":"Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California: 2010","docAbstract":"<p>Trace-metal concentrations in sediment and in the clam<span>&nbsp;</span><i>Macoma petalum</i><span>&nbsp;</span>(formerly reported as<span>&nbsp;</span><i>Macoma balthica</i>), clam reproductive activity, and benthic macroinvertebrate community structure were investigated in a mudflat 1 kilometer south of the discharge of the Palo Alto Regional Water Quality Control Plant (PARWQCP) in South San Francisco Bay, Calif. This report includes the data collected for the period January 2010 to December 2010 and extends a critical long-term biogeochemical record that dates back to 1974. These data serve as the basis for the City of Palo Alto’s Near-Field Receiving Water Monitoring Program initiated in 1994.</p><p>In 2010, metal concentrations in both sediments and clam tissue were among the lowest concentrations on record and consistent with results observed since 1991. Following significant reductions in the late 1980s, silver (Ag) and copper (Cu) concentrations appear to have stabilized. Annual mean concentrations have fluctuated modestly (2–4 fold) in a nondirectional manner. Data for other metals, including chromium, mercury, nickel, selenium, vanadium, and zinc, have been collected since 1994. Over this period, concentrations of these elements, which likely reflect regional inputs and systemwide processes, have remained relatively constant, aside from typical seasonal variation that is common to all elements. Within years, the winter months (January–March) generally exhibit maximum concentrations, with a decline to annual minima in spring through fall. Concentrations of chromium (Cr) and vanadium (V) in sediments have shown an upward trend since 2005. Chromium concentrations are approaching the record maximum levels observed in 2003, and concentrations of V in sediments in 2010 were the highest annual average concentrations on record. Mercury (Hg) concentrations in sediments and<span>&nbsp;</span><i>M. petalum</i><span>&nbsp;</span>in 2010 were comparable to concentrations observed in 2009 and were generally consistent with data from previous years. Selenium (Se) concentrations in sediment varied among years and showed no sustained temporal trend. During 2009–2010, sedimentary Se concentrations declined from the record high observed in 2008 to concentrations that were among the lowest on record. Selenium in<span>&nbsp;</span><i>M. petalum</i><span>&nbsp;</span>was slightly higher in 2010 than in 2009. Overall, Cu and Ag concentrations in sediments and soft tissues of the clam,<span>&nbsp;</span><i>M. petalum</i>, remained representative of the concentrations observed since 1991 following significant reductions in the discharge of these elements from the PARWQCP. This indicates that, as with other elements of regulatory interest, regional-scale factors now largely affect sedimentary and bioavailable concentrations of Ag and Cu.</p><p>Analyses of the benthic community structure of a mudflat in South San Francisco Bay over a 37-year period show that changes in the community have occurred concurrent with reduced concentrations of metals in the sediment and in the tissues of the biosentinel clam,<span>&nbsp;</span><i>M. petalum</i>, from the same area. Analysis of the<span>&nbsp;</span><i>M. petalum</i><span>&nbsp;</span>community shows increases in reproductive activity concurrent with the decline in metal concentrations in the tissues of this organism. Reproductive activity is presently stable (2010), with almost all animals initiating reproduction in the fall and spawning the following spring of most years. The community has shifted from being dominated by several opportunistic species to a community where the species are more similar in abundance, a pattern that indicates a more stable community that is subjected to fewer stressors. In addition, two of the opportunistic species (<i>Ampelisca abdita</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Streblospio benedicti</i>) that brood their young and live on the surface of the sediment in tubes have shown a continual decline in dominance coincident with the decline in metals; both species had short-lived rebounds in abundance in 2008, 2009, and 2010.<span>&nbsp;</span><i>Heteromastus filiformis</i><span>&nbsp;</span>(a subsurface polychaete worm that lives in the sediment, consumes sediment and organic particles residing in the sediment, and reproduces by laying its eggs on or in the sediment) showed a concurrent increase in dominance and, in last several years prior to 2008, showed a stable population. An unidentified disturbance occurred on the mudflat in early 2008 that resulted in the loss of the benthic animals, except for those deep-dwelling animals like<span>&nbsp;</span><i>Macoma petalum</i>. Animals immediately returned to the mudflat in 2008, which was the first indication that the disturbance was not due to a persistent toxin or to anoxia. The use of functional ecology was highlighted in the 2010 benthic community data, which show that the animals that have now returned to the mudflat are those that can respond successfully to a physical, nontoxic disturbance. Today, community data show a mix of animals that consume the sediment, filter feed, have pelagic larvae that must survive landing on the sediment, and brood their young. USGS scientists continue to observe the community’s response to the defaunation event because it allows them to examine the response of the community to a natural disturbance (possible causes include sediment accretion or freshwater inundation) and compare this recovery to the long-term recovery observed in the 1970s when the decline in sediment pollutants was the dominating factor.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111163","usgsCitation":"Dyke, J., Parcheso, F., Thompson, J.K., Cain, D.J., Luoma, S.N., and Hornberger, M.I., 2011, Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California: 2010: U.S. Geological Survey Open-File Report 2011-1163, vi, 24 p., https://doi.org/10.3133/ofr20111163.","productDescription":"vi, 24 p.","onlineOnly":"Y","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true}],"links":[{"id":116167,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1163.gif"},{"id":24463,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1163/","linkFileType":{"id":5,"text":"html"}},{"id":394625,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95356.htm"}],"country":"United States","state":"California","otherGeospatial":"Palo Alto Regional Water Quality Control Plant, South San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.11938858032227,\n              37.449854970912526\n            ],\n            [\n              -122.09775924682616,\n              37.449854970912526\n            ],\n            [\n              -122.09775924682616,\n              37.46641110157195\n            ],\n            [\n              -122.11938858032227,\n              37.46641110157195\n            ],\n            [\n              -122.11938858032227,\n              37.449854970912526\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db697f1f","contributors":{"authors":[{"text":"Dyke, Jessica jldyke@usgs.gov","contributorId":1035,"corporation":false,"usgs":true,"family":"Dyke","given":"Jessica","email":"jldyke@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":351758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parcheso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":2590,"corporation":false,"usgs":true,"family":"Parcheso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":351762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":351757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":351760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":351761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hornberger, Michelle I. 0000-0002-7787-3446 mhornber@usgs.gov","orcid":"https://orcid.org/0000-0002-7787-3446","contributorId":1037,"corporation":false,"usgs":true,"family":"Hornberger","given":"Michelle","email":"mhornber@usgs.gov","middleInitial":"I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":351759,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70003690,"text":"70003690 - 2011 - Application of MODFLOW for oil reservoir simulation during the Deepwater Horizon Crisis","interactions":[],"lastModifiedDate":"2020-01-21T16:33:47","indexId":"70003690","displayToPublicDate":"2011-07-29T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Application of MODFLOW for oil reservoir simulation during the Deepwater Horizon Crisis","docAbstract":"When the Macondo well was shut in on July 15, 2010, the shut-in pressure recovered to a level that indicated the possibility of oil leakage out of the well casing into the surrounding formation. Such a leak could initiate a hydraulic fracture that might eventually breach the seafloor, resulting in renewed and uncontrolled oil flow into the Gulf of Mexico. To help evaluate whether or not to reopen the well, a MODFLOW model was constructed within 24 h after shut in to analyze the shut-in pressure. The model showed that the shut-in pressure can be explained by a reasonable scenario in which the well did not leak after shut in. The rapid response provided a scientific analysis for the decision to keep the well shut, thus ending the oil spill resulting from the Deepwater Horizon blow out.","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2011.00813.x","usgsCitation":"Hsieh, P.A., 2011, Application of MODFLOW for oil reservoir simulation during the Deepwater Horizon Crisis: Ground Water, v. 49, no. 3, p. 319-323, https://doi.org/10.1111/j.1745-6584.2011.00813.x.","productDescription":"5 p.","startPage":"319","endPage":"323","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":204148,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.1298828125,\n              26.194876675795218\n            ],\n            [\n              -81.0791015625,\n              25.284437746983055\n            ],\n            [\n              -80.947265625,\n              26.07652055985697\n            ],\n            [\n              -83.3203125,\n              29.726222319395504\n            ],\n            [\n              -86.396484375,\n              31.541089879585808\n            ],\n            [\n              -91.97753906249999,\n              31.015278981711266\n            ],\n            [\n              -96.85546875,\n              29.878755346037977\n            ],\n            [\n              -98.1298828125,\n              26.194876675795218\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-03-16","publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67ab98","contributors":{"authors":[{"text":"Hsieh, Paul A. 0000-0003-4873-4874 pahsieh@usgs.gov","orcid":"https://orcid.org/0000-0003-4873-4874","contributorId":1634,"corporation":false,"usgs":true,"family":"Hsieh","given":"Paul","email":"pahsieh@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":348352,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70208569,"text":"70208569 - 2011 - Detection, emission estimation and risk prediction of forest fires in China using satellite sensors and simulation models in the past three decades-An overview","interactions":[],"lastModifiedDate":"2020-02-20T10:00:08","indexId":"70208569","displayToPublicDate":"2011-07-28T10:44:14","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2041,"text":"International Journal of Environmental Research and Public Health","active":true,"publicationSubtype":{"id":10}},"title":"Detection, emission estimation and risk prediction of forest fires in China using satellite sensors and simulation models in the past three decades-An overview","docAbstract":"<p><span>Forest fires have major impact on ecosystems and greatly impact the amount of greenhouse gases and aerosols in the atmosphere. This paper presents an overview in the forest fire detection, emission estimation, and fire risk prediction in China using satellite imagery, climate data, and various simulation models over the past three decades. Since the 1980s, remotely-sensed data acquired by many satellites, such as NOAA/AVHRR, FY-series, MODIS, CBERS, and ENVISAT, have been widely utilized for detecting forest fire hot spots and burned areas in China. Some developed algorithms have been utilized for detecting the forest fire hot spots at a sub-pixel level. With respect to modeling the forest burning emission, a remote sensing data-driven Net Primary productivity (NPP) estimation model was developed for estimating forest biomass and fuel. In order to improve the forest fire risk modeling in China, real-time meteorological data, such as surface temperature, relative humidity, wind speed and direction，have been used as the model input for improving prediction of forest fire occurrence and its behavior. Shortwave infrared (SWIR) and near infrared (NIR) channels of satellite sensors have been employed for detecting live fuel moisture content (FMC), and the Normalized Difference Water Index (NDWI) was used for evaluating the forest vegetation condition and its moisture status.&nbsp;</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/ijerph8083156","usgsCitation":"Zhang, J., Yao, F., Liu, C., Yang, L., and Boken, V.K., 2011, Detection, emission estimation and risk prediction of forest fires in China using satellite sensors and simulation models in the past three decades-An overview: International Journal of Environmental Research and Public Health, v. 8, no. 8, p. 3156-3178, https://doi.org/10.3390/ijerph8083156.","productDescription":"23 p.","startPage":"3156","endPage":"3178","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474955,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ijerph8083156","text":"Publisher Index 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,{"id":70004045,"text":"70004045 - 2011 - Anthropocene streams and base-level controls from historic dams in the unglaciated mid-Atlantic region, USA","interactions":[],"lastModifiedDate":"2021-05-19T15:35:08.277773","indexId":"70004045","displayToPublicDate":"2011-07-28T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3047,"text":"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Anthropocene streams and base-level controls from historic dams in the unglaciated mid-Atlantic region, USA","docAbstract":"<p><span>Recently, widespread valley-bottom damming for water power was identified as a primary control on valley sedimentation in the mid-Atlantic US during the late seventeenth to early twentieth century. The timing of damming coincided with that of accelerated upland erosion during post-European settlement land-use change. In this paper, we examine the impact of local drops in base level on incision into historic reservoir sediment as thousands of ageing dams breach. Analysis of lidar and field data indicates that historic milldam building led to local base-level rises of 2–5 m (typical milldam height) and reduced valley slopes by half. Subsequent base-level fall with dam breaching led to an approximate doubling in slope, a significant base-level forcing. Case studies in forested, rural as well as agricultural and urban areas demonstrate that a breached dam can lead to stream incision, bank erosion and increased loads of suspended sediment, even with no change in land use. After dam breaching, key predictors of stream bank erosion include number of years since dam breach, proximity to a dam and dam height. One implication of this work is that conceptual models linking channel condition and sediment yield exclusively with modern upland land use are incomplete for valleys impacted by milldams. With no equivalent in the Holocene or late Pleistocene sedimentary record, modern incised stream-channel forms in the mid-Atlantic region represent a transient response to both base-level forcing and major changes in land use beginning centuries ago. Similar channel forms might also exist in other locales where historic milling was prevalent.</span></p>","language":"English","publisher":"Royal Society Publishing","publisherLocation":"London, UK","doi":"10.1098/rsta.2010.0335","usgsCitation":"Merritts, D., Walter, R., Rahnis, M., Hartranft, J., Cox, S., Gellis, A., Potter, N., Hilgartner, W., Langland, M.J., Manion, L., Lippincott, C., Siddiqui, S., Rehman, Z., Scheid, C., Kratz, L., Shilling, A., Jenschke, M., Datin, K., Cranmer, E., Reed, A., Matuszewski, D., Voli, M., Ohlson, E., Neugebauer, A., Ahamed, A., Neal, C., Winter, A., and Becker, S., 2011, Anthropocene streams and base-level controls from historic dams in the unglaciated mid-Atlantic region, USA: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, v. 369, no. 1938, p. 976-1009, https://doi.org/10.1098/rsta.2010.0335.","productDescription":"34 p.","startPage":"976","endPage":"1009","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":203989,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, Newe Jersey, New York, Pennsylvania, Virginia, West Viginia","otherGeospatial":"Mid-Atlantic region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.38671875,\n              36.61552763134925\n            ],\n            [\n              -75.322265625,\n              36.61552763134925\n            ],\n            [\n              -74.00390625,\n              39.65645604812829\n            ],\n            [\n              -74.11376953125,\n              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Aakash","contributorId":43092,"corporation":false,"usgs":true,"family":"Ahamed","given":"Aakash","email":"","affiliations":[],"preferred":false,"id":350309,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Neal, Conor","contributorId":90862,"corporation":false,"usgs":true,"family":"Neal","given":"Conor","email":"","affiliations":[],"preferred":false,"id":350326,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Winter, Allison","contributorId":106625,"corporation":false,"usgs":true,"family":"Winter","given":"Allison","email":"","affiliations":[],"preferred":false,"id":350327,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Becker, Steven","contributorId":17748,"corporation":false,"usgs":true,"family":"Becker","given":"Steven","email":"","affiliations":[],"preferred":false,"id":350304,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}}
,{"id":70003316,"text":"70003316 - 2011 - Anatomy of a metabentonite: Nucleation and growth of illite crystals and their coalescence into mixed-layer illite/smectite","interactions":[],"lastModifiedDate":"2021-08-24T20:10:31.624078","indexId":"70003316","displayToPublicDate":"2011-07-28T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Anatomy of a metabentonite: Nucleation and growth of illite crystals and their coalescence into mixed-layer illite/smectite","docAbstract":"The illite layer content of mixed-layer illite/smectite (I/S) in a 2.5 m thick, zoned, metabentonite bed from Montana decreases regularly from the edges to the center of the bed. Traditional X-ray diffraction (XRD) pattern modeling using Markovian statistics indicated that this zonation results from a mixing in different proportions of smectite-rich R0 I/S and illite-rich R1 I/S, with each phase having a relatively constant illite layer content. However, a new method for modeling XRD patterns of I/S indicates that R0 and R1 I/S in these samples are not separate phases (in the mineralogical sense of the word), but that the samples are composed of illite crystals that have continuous distributions of crystal thicknesses, and of 1 nm thick smectite crystals. The shapes of these distributions indicate that the crystals were formed by simultaneous nucleation and growth. XRD patterns for R0 and R1 I/S arise by interparticle diffraction from a random stacking of the crystals, with swelling interlayers formed at interfaces between crystals from water or glycol that is sorbed on crystal surfaces. It is the thickness distributions of smectite and illite crystals (also termed fundamental particles, or Nadeau particles), rather than XRD patterns for mixed-layer I/S, that are the more reliable indicators of geologic history, because such distributions are composed of well-defined crystals that are not affected by differences in surface sorption and particle arrangements, and because their thickness distribution shapes conform to the predictions of crystal growth theory, which describes their genesis.","language":"English","publisher":"The Mineralogical Society of America","publisherLocation":"Chantilly, VA","doi":"10.2138/am.2011.3682","usgsCitation":"Eberl, D.D., Blum, A., and Serravezza, M., 2011, Anatomy of a metabentonite: Nucleation and growth of illite crystals and their coalescence into mixed-layer illite/smectite: American Mineralogist, v. 96, no. 4, p. 586-593, https://doi.org/10.2138/am.2011.3682.","productDescription":"8 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