Digital flood-inundation maps for the Saline and Wabash Rivers referenced to elevations on the Ohio River in southern Illinois were created by the U.S. Geological Survey (USGS). The inundation maps, accessible through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent of flooding corresponding to selected water levels (gage heights) at the USGS streamgage at Ohio River at Old Shawneetown, Illinois-Kentucky (station number 03381700). Current gage height and flow conditions at this USGS streamgage may be obtained on the Internet at http://waterdata.usgs.gov/usa/nwis/uv?03381700. In addition, this streamgage is incorporated into the Advanced Hydrologic Prediction Service (AHPS) flood warning system (http://water.weather.gov/ahps/) by the National Weather Service (NWS). The NWS forecasts flood hydrographs at many places that are often co-located at USGS streamgages. That NWS forecasted peak-stage information, also shown on the Ohio River at Old Shawneetown inundation Web site, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.
\nIn this study, eight water-surface elevations were mapped at 5-foot (ft) intervals referenced to the streamgage datum ranging from just above the NWS Action Stage (31 ft) to above the maximum historical gage height (66 ft). The elevations of the water surfaces were compared to a Digital Elevation Model (DEM) by using a Geographic Information System (GIS) in order to delineate the area flooded at each water level.
\nThese maps, along with information on the Internet regarding current gage heights from USGS streamgages and forecasted stream stages from the NWS, provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125212","usgsCitation":"Murphy, E., Sharpe, J.B., and Soong, D., 2012, Ohio River backwater flood-inundation maps for the Saline and Wabash Rivers in southern Illinois (First posted December 5, 2012; Revised and reposted September 18, 2014, version 1.1): U.S. Geological Survey Scientific Investigations Report 2012-5212, Report: iv, 20 p.; Downloads Directory; 8 Sheets: 16.99 x 11 inches, https://doi.org/10.3133/sir20125212.","productDescription":"Report: iv, 20 p.; Downloads Directory; 8 Sheets: 16.99 x 11 inches","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":263749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125212.jpg"},{"id":263741,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/map_sheet1_final.pdf"},{"id":263739,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5212/"},{"id":263740,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5212/Downloads"},{"id":263742,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/map_sheet2_final.pdf"},{"id":263743,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/map_sheet3_final.pdf"},{"id":263744,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/map_sheet4_final.pdf"},{"id":263745,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/map_sheet5_final.pdf"},{"id":263746,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/map_sheet6_final.pdf"},{"id":263747,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/map_sheet7_final.pdf"},{"id":263748,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/map_sheet8_final.pdf"},{"id":263754,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/SIR20125212_salineriver_web.pdf"}],"country":"United States","state":"Illinois;Kentucky","city":"Old Shawneetown","otherGeospatial":"Ohio River;Saline River;Wabash River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.666667,37.5 ], [ -88.666667,37.916667 ], [ -88.0,37.916667 ], [ -88.0,37.5 ], [ -88.666667,37.5 ] ] ] } } ] }","edition":"First posted December 5, 2012; Revised and reposted September 18, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c1be86e4b09fd40bb0eb23","contributors":{"authors":[{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":469875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soong, David T.","contributorId":87487,"corporation":false,"usgs":true,"family":"Soong","given":"David T.","affiliations":[],"preferred":false,"id":469876,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041488,"text":"70041488 - 2012 - Variability in expression of anadromy by female Oncorhynchus mykiss within a river network","interactions":[],"lastModifiedDate":"2012-12-07T10:46:40","indexId":"70041488","displayToPublicDate":"2012-12-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Variability in expression of anadromy by female Oncorhynchus mykiss within a river network","docAbstract":"We described and predicted spatial variation in marine migration (anadromy) of female Oncorhynchus mykiss in the John Day River watershed, Oregon. We collected 149 juvenile O. mykiss across 72 sites and identified locations used by anadromous females by assigning maternal origin (anadromous versus non-anadromous) to each juvenile. These assignments used comparisons of strontium to calcium ratios in otolith primordia and freshwater growth regions to indicate maternal origin. We used logistic regression to predict probability of anadromy in relation to mean annual stream runoff using data from a subset of individuals. This model correctly predicted anadromy in a second sample of individuals with a moderate level of accuracy (e.g., 68% correctly predicted with a 0.5 classification threshold). Residuals from the models were not spatially autocorrelated, suggesting that remaining variability in the expression of anadromy was due to localized influences, as opposed to broad-scale gradients unrelated to mean annual stream runoff. These results are important for the management of O. mykiss because anadromous individuals (steelhead) within the John Day River watershed are listed as a threatened species, and it is difficult to discern juvenile steelhead from non-anadromous individuals (rainbow trout) in the field. Our results provide a broad-scale description and prediction of locations supporting anadromy, and new insight for habitat restoration, monitoring, and research to better manage and understand the expression of anadromy in O. mykiss.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Biology of Fishes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Reston, VA","doi":"10.1007/s10641-011-9946-4","usgsCitation":"Mills, J.S., Dunham, J., Reeves, G.H., McMillan, J.R., Zimmerman, C.E., and Jordan, C.E., 2012, Variability in expression of anadromy by female Oncorhynchus mykiss within a river network: Environmental Biology of Fishes, v. 93, no. 4, p. 505-517, https://doi.org/10.1007/s10641-011-9946-4.","productDescription":"13 p.","startPage":"505","endPage":"517","ipdsId":"IP-034081","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":263783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263782,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10641-011-9946-4"}],"country":"United States","state":"Oregon","otherGeospatial":"John Day River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.74582,44.249292 ], [ -118.74582,44.459598 ], [ -118.525734,44.459598 ], [ -118.525734,44.249292 ], [ -118.74582,44.249292 ] ] ] } } ] }","volume":"93","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-11-24","publicationStatus":"PW","scienceBaseUri":"50c31e9ee4b0b57f2415d22b","contributors":{"authors":[{"text":"Mills, Justin S.","contributorId":56944,"corporation":false,"usgs":true,"family":"Mills","given":"Justin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":469830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B.","contributorId":64791,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","affiliations":[],"preferred":false,"id":469831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Gordon H.","contributorId":101521,"corporation":false,"usgs":false,"family":"Reeves","given":"Gordon","email":"","middleInitial":"H.","affiliations":[{"id":527,"text":"Pacific Northwest Research Station","active":false,"usgs":true}],"preferred":false,"id":469833,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McMillan, John R.","contributorId":27905,"corporation":false,"usgs":true,"family":"McMillan","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":469829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":469828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jordan, Chris E.","contributorId":88233,"corporation":false,"usgs":true,"family":"Jordan","given":"Chris","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":469832,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70041511,"text":"fs20123133 - 2012 - Wetland fire remote sensing research--The Greater Everglades example","interactions":[],"lastModifiedDate":"2012-12-06T21:52:54","indexId":"fs20123133","displayToPublicDate":"2012-12-06T00:00:00","publicationYear":"2012","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":"2012-3133","title":"Wetland fire remote sensing research--The Greater Everglades example","docAbstract":"Fire is a major factor in the Everglades ecosystem. For thousands of years, lightning-strike fires from summer thunderstorms have helped create and maintain a dynamic landscape suited both to withstand fire and recover quickly in the wake of frequent fires. Today, managers in the Everglades National Park are implementing controlled burns to promote healthy, sustainable vegetation patterns and ecosystem functions. The U.S. Geological Survey (USGS) is using remote sensing to improve fire-management databases in the Everglades, gain insights into post-fire land-cover dynamics, and develop spatially and temporally explicit fire-scar data for habitat and hydrologic modeling.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123133","usgsCitation":"Jones, J., 2012, Wetland fire remote sensing research--The Greater Everglades example: U.S. Geological Survey Fact Sheet 2012-3133, 2 p.; maps (col.), https://doi.org/10.3133/fs20123133.","productDescription":"2 p.; maps (col.)","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":263769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3133.gif"},{"id":263767,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3133/"},{"id":263768,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3133/pdf/fs2012-3133.pdf"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.5183,24.85 ], [ -81.5183,25.8899 ], [ -80.3887,25.8899 ], [ -80.3887,24.85 ], [ -81.5183,24.85 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c1bea4e4b09fd40bb0eb3e","contributors":{"authors":[{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":469886,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70041417,"text":"70041417 - 2012 - Carbon dioxide and hydrogen sulfide degassing and cryptic thermal input to Brimstone Basin, Yellowstone National Park, Wyoming","interactions":[],"lastModifiedDate":"2019-05-30T10:07:54","indexId":"70041417","displayToPublicDate":"2012-12-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dioxide and hydrogen sulfide degassing and cryptic thermal input to Brimstone Basin, Yellowstone National Park, Wyoming","docAbstract":"Brimstone Basin, a remote area of intense hydrothermal alteration a few km east of the Yellowstone Caldera, is rarely studied and has long been considered to be a cold remnant of an ancient hydrothermal system. A field campaign in 2008 confirmed that gas emissions from the few small vents were cold and that soil temperatures in the altered area were at background levels. Geochemical and isotopic evidence from gas samples (3He/4He ~ 3RA, δ13C-CO2 ~ − 3‰) however, indicate continuing magmatic gas input to the system. Accumulation chamber measurements revealed a surprisingly large diffuse flux of CO2 (~ 277 t d-1) and H2S (0.6 t d-1). The flux of CO2 reduces the 18O content of the overlying cold groundwater and related stream waters relative to normal meteoric waters. Simple isotopic modeling reveals that the CO2 likely originates from geothermal water at a temperature of 93 ± 19 °C. These results and the presence of thermogenic hydrocarbons (C1:C2 ~ 100 and δ13C-CH4 = − 46.4 to − 42.8‰) in gases require some heat source at depth and refute the assumption that this is a “fossil” hydrothermal system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.chemgeo.2012.09.001","usgsCitation":"Bergfeld, D., Evans, W.C., Lowenstern, J.B., and Hurwitz, S., 2012, Carbon dioxide and hydrogen sulfide degassing and cryptic thermal input to Brimstone Basin, Yellowstone National Park, Wyoming: Chemical Geology, v. 330-331, p. 233-243, https://doi.org/10.1016/j.chemgeo.2012.09.001.","productDescription":"11 p.","startPage":"233","endPage":"243","ipdsId":"IP-036804","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":263689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263688,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2012.09.001"}],"country":"United States","state":"Wyoming","otherGeospatial":"Brimstone Basin;Yellowstone National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.06,40.99 ], [ -111.06,45.01 ], [ -104.05,45.01 ], [ -104.05,40.99 ], [ -111.06,40.99 ] ] ] } } ] }","volume":"330-331","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bfb73ee4b01744973f777e","contributors":{"authors":[{"text":"Bergfeld, D.","contributorId":58053,"corporation":false,"usgs":true,"family":"Bergfeld","given":"D.","email":"","affiliations":[],"preferred":false,"id":469683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, William C.","contributorId":104903,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":469685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowenstern, J. B.","contributorId":7737,"corporation":false,"usgs":true,"family":"Lowenstern","given":"J.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":469682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hurwitz, S.","contributorId":61110,"corporation":false,"usgs":true,"family":"Hurwitz","given":"S.","email":"","affiliations":[],"preferred":false,"id":469684,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70041403,"text":"70041403 - 2012 - Time-lapse camera observations of gas piston activity at Pu‘u ‘Ō‘ō, Kīlauea volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2019-05-30T13:14:28","indexId":"70041403","displayToPublicDate":"2012-12-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Time-lapse camera observations of gas piston activity at Pu‘u ‘Ō‘ō, Kīlauea volcano, Hawai‘i","docAbstract":"Gas pistoning is a type of eruptive behavior described first at Kīlauea volcano and characterized by the (commonly) cyclic rise and fall of the lava surface within a volcanic vent or lava lake. Though recognized for decades, its cause continues to be debated, and determining why and when it occurs has important implications for understanding vesiculation and outgassing processes at basaltic volcanoes. Here, we describe gas piston activity that occurred at the Pu‘u ‘Ō‘ō cone, in Kīlauea’s east rift zone, during June 2006. Direct, detailed measurements of lava level, made from time-lapse camera images captured at close range, show that the gas pistons during the study period lasted from 2 to 60 min, had volumes ranging from 14 to 104 m3, displayed a slowing rise rate of the lava surface, and had an average gas release duration of 49 s. Our data are inconsistent with gas pistoning models that invoke gas slug rise or a dynamic pressure balance but are compatible with models which appeal to gas accumulation and loss near the top of the lava column, possibly through the generation and collapse of a foam layer.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of Volcanology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer-Verlag","publisherLocation":"Berlin, Germany","doi":"10.1007/s00445-012-0667-0","usgsCitation":"Orr, T., and Rea, J., 2012, Time-lapse camera observations of gas piston activity at Pu‘u ‘Ō‘ō, Kīlauea volcano, Hawai‘i: Bulletin of Volcanology, v. 74, no. 10, p. 2353-2362, https://doi.org/10.1007/s00445-012-0667-0.","productDescription":"10 p.","startPage":"2353","endPage":"2362","ipdsId":"IP-038552","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":263701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263700,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00445-012-0667-0"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano;Pu�u �o�o","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.798371,19.056854 ], [ -155.798371,19.550464 ], [ -155.016307,19.550464 ], [ -155.016307,19.056854 ], [ -155.798371,19.056854 ] ] ] } } ] }","volume":"74","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-10-02","publicationStatus":"PW","scienceBaseUri":"50bfba90e4b01744973f77be","contributors":{"authors":[{"text":"Orr, Tim R. torr@usgs.gov","contributorId":3766,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","email":"torr@usgs.gov","affiliations":[],"preferred":false,"id":469656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rea, James","contributorId":52854,"corporation":false,"usgs":true,"family":"Rea","given":"James","email":"","affiliations":[],"preferred":false,"id":469657,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70041509,"text":"pp1794A - 2012 - Status and trends of land change in the Western United States--1973 to 2000","interactions":[],"lastModifiedDate":"2017-03-29T14:18:04","indexId":"pp1794A","displayToPublicDate":"2012-12-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1794","chapter":"A","title":"Status and trends of land change in the Western United States--1973 to 2000","docAbstract":"U.S. Geological Survey (USGS) Professional Paper 1794–A is the first in a four-volume series on the status and trends of the Nation’s land use and land cover, providing an assessment of the rates and causes of land-use and land-cover change in the Western United States between 1973 and 2000. Volumes B, C, and D provide similar analyses for the Great Plains, the Midwest–South Central United States, and the Eastern United States, respectively. The assessments of land-use and land-cover trends are conducted on an ecoregion-by-ecoregion basis, and each ecoregion assessment is guided by a nationally consistent study design that includes mapping, statistical methods, field studies, and analysis. Individual assessments provide a picture of the characteristics of land change occurring in a given ecoregion; in combination, they provide a framework for understanding the complex national mosaic of change and also the causes and consequences of change. Thus, each volume in this series provides a regional assessment of how (and how fast) land use and land cover are changing, and why. The four volumes together form the first comprehensive picture of land change across the Nation. Geographic understanding of land-use and land-cover change is directly relevant to a wide variety of stakeholders, including land and resource managers, policymakers, and scientists. The chapters in this volume present brief summaries of the patterns and rates of land change observed in each ecoregion in the Western United States, together with field photographs, statistics, and comparisons with other assessments. In addition, a synthesis chapter summarizes the scope of land change observed across the entire Western United States. The studies provide a way of integrating information across the landscape, and they form a critical component in the efforts to understand how land use and land cover affect important issues such as the provision of ecological goods and services and also the determination of risks to, and vulnerabilities of, human communities. Results from this project also are published in peer-reviewed journals, and they are further used to produce maps of change and other tools for land management, as well as to provide inputs for carbon-cycle modeling and other climate change research. This report is only one of the products produced by USGS on land-use and land-cover change in the United States. Other reports and land-cover statistics are available online at http://landcovertrends.usgs.gov.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Status and trends of land change in the United States--1973 to 2000","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1794A","usgsCitation":"Sleeter, B.M., Wilson, T.S., and Acevedo, W., eds., 2012, Status and trends of land change in the Western United States—1973 to 2000: U.S. Geological Survey Professional Paper 1794–A, 324 p., https://pubs.usgs.gov/pp/1794/a/.","productDescription":"viii, 323 p.","numberOfPages":"336","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":263753,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1794_A.gif"},{"id":312102,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/pp1794C","text":"Professional Paper 1794-C","linkHelpText":"Status and Trends of Land Change in the Midwest–South Central United States—1973 to 2000"},{"id":307112,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/pp1794","text":"Professional Paper 1794","linkHelpText":"This publication is Volume A in Status and trends of land change in the United States—1973 to 2000"},{"id":307123,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/pp1794B","text":"Professional Paper 1794-B","linkHelpText":"Status and trends of land change in the Great Plains of the United States—1973 to 2000"},{"id":329085,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/pp1794D","text":"Professional Paper 1794-D","linkHelpText":"Status and Trends of Land Change in the Eastern United States—1973 to 2000"},{"id":263751,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1794/a/pp1794a.pdf","text":"Report","size":"61.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1794-A"},{"id":306964,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1794/a/index.html","text":"Index page","linkFileType":{"id":5,"text":"html"}},{"id":306945,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/pp/1794/a/versionHist.txt","description":"Version History for PP 1794-A"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.5,29.0 ], [ -124.5,49.0 ], [ -100.0,49.0 ], [ -100.0,29.0 ], [ -124.5,29.0 ] ] ] } } ] }","contact":"Contact Information, Western Geographic Science Center
U.S. Geological Survey
345 Middlefield Road, MS 531
Menlo Park, CA 94025
http://geography.wr.usgs.gov/
The overarching aim of this study was to use satellite thermal infrared (TIR) remote sensing to monitor geothermal activity within the Yellowstone geothermal area to meet the missions of both the U.S. Geological Survey and the Yellowstone National Park Geology Program. Specific goals were to: 1) address the challenges of monitoring the surface thermal characteristics of the > 10,000 spatially and temporally dynamic thermal features in the Park (including hot springs, pools, geysers, fumaroles, and mud pots) that are spread out over ~ 5000 km2, by using satellite TIR remote sensing tools (e.g., ASTER and MODIS), 2) to estimate the radiant geothermal heat flux (GHF) for Yellowstone's thermal areas, and 3) to identify normal, background thermal changes so that significant, abnormal changes can be recognized, should they ever occur (e.g., changes related to tectonic, hydrothermal, impending volcanic processes, or human activities, such as nearby geothermal development). ASTER TIR data (90-m pixels) were used to estimate the radiant GHF from all of Yellowstone's thermal features and update maps of thermal areas. MODIS TIR data (1-km pixels) were used to record background thermal radiance variations from March 2000 through December 2010 and establish thermal change detection limits.
A lower limit for the radiant GHF estimated from ASTER TIR temperature data was established at ~ 2.0 GW, which is ~ 30–45% of the heat flux estimated through geochemical thermometry. Also, about 5 km2 of thermal areas was added to the geodatabase of mapped thermal areas. A decade-long time-series of MODIS TIR radiance data was dominated by seasonal cycles. A background subtraction technique was used in an attempt to isolate variations due to geothermal changes. Several statistically significant perturbations were noted in the time-series from Norris Geyser Basin, however many of these did not correspond to documented thermal disturbances. This study provides concrete examples of the strengths and limitations of current satellite TIR monitoring of geothermal areas, highlighting some specific areas that can be improved. This work provides a framework for future satellite-based thermal monitoring at Yellowstone and other volcanic and geothermal systems.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jvolgeores.2012.04.022","usgsCitation":"Vaughan, R.G., Keszthelyi, L., Lowenstern, J.B., Jaworowski, C., and Heasler, H., 2012, Use of ASTER and MODIS thermal infrared data to quantify heat flow and hydrothermal change at Yellowstone National Park: Journal of Volcanology and Geothermal Research, v. 233-234, p. 72-89, https://doi.org/10.1016/j.jvolgeores.2012.04.022.","productDescription":"18 p.","startPage":"72","endPage":"89","ipdsId":"IP-037921","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":263699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Oregon, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.156,44.1324 ], [ -111.156,45.109 ], [ -109.8242,45.109 ], [ -109.8242,44.1324 ], [ -111.156,44.1324 ] ] ] } } ] }","volume":"233-234","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bfbad2e4b01744973f77c2","contributors":{"authors":[{"text":"Vaughan, R. Greg 0000-0002-0850-6669","orcid":"https://orcid.org/0000-0002-0850-6669","contributorId":69030,"corporation":false,"usgs":true,"family":"Vaughan","given":"R.","email":"","middleInitial":"Greg","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":469674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":469672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaworowski, Cheryl","contributorId":25989,"corporation":false,"usgs":true,"family":"Jaworowski","given":"Cheryl","affiliations":[],"preferred":false,"id":469671,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heasler, Henry","contributorId":62683,"corporation":false,"usgs":true,"family":"Heasler","given":"Henry","affiliations":[],"preferred":false,"id":469673,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70041359,"text":"sir20125246 - 2012 - Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10","interactions":[{"subject":{"id":99012,"text":"sir20105239 - 2011 - Effects of Simulated Land-Use Changes on Water Quality of Lake Maumelle, Arkansas","indexId":"sir20105239","publicationYear":"2011","noYear":false,"title":"Effects of Simulated Land-Use Changes on Water Quality of Lake Maumelle, Arkansas"},"predicate":"SUPERSEDED_BY","object":{"id":70041359,"text":"sir20125246 - 2012 - Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10","indexId":"sir20125246","publicationYear":"2012","noYear":false,"title":"Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10"},"id":1}],"lastModifiedDate":"2012-12-04T11:23:00","indexId":"sir20125246","displayToPublicDate":"2012-12-04T00:00:00","publicationYear":"2012","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":"2012-5246","title":"Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10","docAbstract":"Lake Maumelle, located in central Arkansas northwest of the cities of Little Rock and North Little Rock, is one of two principal drinking-water supplies for the Little Rock, and North Little Rock, Arkansas, metropolitan areas. Lake Maumelle and the Maumelle River (its primary tributary) are more pristine than most other reservoirs and streams in the region with 80 percent of the land area in the entire watershed being forested. However, as the Lake Maumelle watershed becomes increasingly more urbanized and timber harvesting becomes more extensive, concerns about the sustainability of the quality of the water supply also have increased.\n\nTwo hydrodynamic and water-quality models were developed to examine the hydrology and water quality in the Lake Maumelle watershed and changes that might occur as the watershed becomes more urbanized and timber harvesting becomes more extensive. A Hydrologic Simulation Program–FORTRAN watershed model was developed using continuous streamflow and discreet suspended-sediment and water-quality data collected from January 2004 through 2010. A CE–QUAL–W2 model was developed to simulate reservoir hydrodynamics and selected water-quality characteristics using the simulated output from the Hydrologic Simulation Program–FORTRAN model from January 2004 through 2010.\n\nThe calibrated Hydrologic Simulation Program–FORTRAN model and the calibrated CE–QUAL–W2 model were developed to simulate three land-use scenarios and to examine the potential effects of these land-use changes, as defined in the model, on the water quality of Lake Maumelle during the 2004 through 2010 simulation period. These scenarios included a scenario that simulated conversion of most land in the watershed to forest (scenario 1), a scenario that simulated conversion of potentially developable land to low-intensity urban land use in part of the watershed (scenario 2), and a scenario that simulated timber harvest in part of the watershed (scenario 3). Simulated land-use changes for scenarios 1 and 3 resulted in little (generally less than 10 percent) overall effect on the simulated water quality in the Hydrologic Simulation Program–FORTRAN model. The land-use change of scenario 2 affected subwatersheds that include Bringle, Reece, and Yount Creek tributaries and most other subwatersheds that drain into the northern side of Lake Maumelle; large percent increases in loading rates (generally between 10 and 25 percent) included dissolved nitrite plus nitrate nitrogen, dissolved orthophosphate, total phosphorus, suspended sediment, dissolved ammonia nitrogen, total organic carbon, and fecal coliform bacteria.\n\nFor scenario 1, the simulated changes in nutrient, suspended sediment, and total organic carbon loads from the Hydrologic Simulation Program–FORTRAN model resulted in very slight (generally less than 10 percent) changes in simulated water quality for Lake Maumelle, relative to the baseline condition. Following lake mixing in the falls of 2006 and 2007, phosphorus and nitrogen concentrations were higher than the baseline condition and chlorophyll a responded accordingly. The increased nutrient and chlorophyll a concentrations in late October and into 2007 were enough to increase concentrations, on average, for the entire simulation period (2004–10). For scenario 2, the simulated changes in nutrient, suspended sediment, total organic carbon, and fecal coliform bacteria loads from the Lake Maumelle watershed resulted in slight changes in simulated water quality for Lake Maumelle, relative to the baseline condition (total nitrogen decreased by 0.01 milligram per liter; dissolved orthophosphate increased by 0.001 milligram per liter; chlorophyll a decreased by 0.1 microgram per liter). The differences in these concentrations are approximately an order of magnitude less than the error between measured and simulated concentrations in the baseline model. During the driest summer in the simulation period (2006), phosphorus and nitrogen concentrations were lower than the baseline condition and chlorophyll a concentrations decreased during the same summer season. The decrease in nitrogen and chlorophyll a concentrations during the dry summer in 2006 was enough to decrease concentrations of these constituents very slightly, on average, for the entire simulation period (2004–10). For scenario 3, the changes in simulated nutrient, suspended sediment, total organic carbon, and fecal coliform bacteria loads from Lake Maumelle watershed resulted in very slight changes in simulated water quality within Lake Maumelle, relative to the baseline condition, for most of the reservoir.\n\nAmong the implications of the results of the modeling described in this report are those related to scale in both space and time. Spatial scales include limited size and location of land-use changes, their effects on loading rates, and resultant effects on water quality of Lake Maumelle. Temporally, the magnitude of the water-quality changes simulated by the land-use change scenarios over the 7-year period (2004–10) are not necessarily indicative of the changes that could be expected to occur with similar land-use changes persisting over a 20-, 30-, or 40- year period, for example. These implications should be tempered by realization of the described model limitations.\n\nThe Hydrologic Simulation Program–FORTRAN watershed model was calibrated to streamflow and water-quality data from five streamflow-gaging stations, and in general, these stations characterize a range of subwatershed areas with varying land-use types. The CE–QUAL–W2 reservoir model was calibrated to water-quality data collected during January 2004 through December 2010 at three reservoir stations, representing the upper, middle, and lower sections of the reservoir.\n\nIn general, the baseline simulation for the Hydrologic Simulation Program–FORTRAN and the CE–QUAL–W2 models matched reasonably well to the measured data. Simulated and measured suspended-sediment concentrations during periods of base flow (streamflows not substantially influenced by runoff) agree reasonably well for Maumelle River at Williams Junction, the station representing the upper end of the watershed (with differences—simulated minus measured value—generally ranging from -15 to 41 milligrams per liter, and percent difference—relative to the measured value—ranging from -99 to 182 percent) and Maumelle River near Wye, the station just above the reservoir at the lower end (differences generally ranging from -20 to 22 milligrams per liter, and percent difference ranging from -100 to 194 percent). In general, water temperature and dissolved-oxygen concentration simulations followed measured seasonal trends for all stations with the largest differences occurring during periods of lowest temperatures or during the periods of lowest measured dissolved-oxygen concentrations.\n\nFor the CE–QUAL–W2 model, simulated vertical distributions of water temperatures and dissolved-oxygen concentrations agreed with measured vertical distributions over time, even for the most complex water-temperature profiles. Considering the oligotrophic-mesotrophic (low to intermediate primary productivity and associated low nutrient concentrations) condition of Lake Maumelle, simulated algae, phosphorus, and nitrogen concentrations compared well with generally low measured concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125246","collaboration":"Prepared in cooperation with Central Arkansas Water","usgsCitation":"Hart, R.M., Green, W.R., Westerman, D.A., Petersen, J., and DeLanois, J.L., 2012, Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10: U.S. Geological Survey Scientific Investigations Report 2012-5246, ix, 119 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125246.","productDescription":"ix, 119 p.; col. ill.; maps (col.)","startPage":"i","endPage":"119","numberOfPages":"132","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":263666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5246.gif"},{"id":263664,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5246/"},{"id":263665,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5246/sir2012-5246.pdf"}],"country":"United States","state":"Arkansas","otherGeospatial":"Lake Maumelle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.62,33.0 ], [ -94.62,36.5 ], [ -89.65,36.5 ], [ -89.65,33.0 ], [ -94.62,33.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bfba04e4b01744973f77ae","contributors":{"authors":[{"text":"Hart, Rheannon M. 0000-0003-4657-5945 rmhart@usgs.gov","orcid":"https://orcid.org/0000-0003-4657-5945","contributorId":5516,"corporation":false,"usgs":true,"family":"Hart","given":"Rheannon","email":"rmhart@usgs.gov","middleInitial":"M.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, W. Reed","contributorId":87886,"corporation":false,"usgs":true,"family":"Green","given":"W.","email":"","middleInitial":"Reed","affiliations":[],"preferred":false,"id":469614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westerman, Drew A. 0000-0002-8522-776X dawester@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-776X","contributorId":4526,"corporation":false,"usgs":true,"family":"Westerman","given":"Drew","email":"dawester@usgs.gov","middleInitial":"A.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, James C. petersen@usgs.gov","contributorId":2437,"corporation":false,"usgs":true,"family":"Petersen","given":"James C.","email":"petersen@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":469610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeLanois, Jeanne L.","contributorId":58531,"corporation":false,"usgs":true,"family":"DeLanois","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469613,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70041363,"text":"70041363 - 2012 - Hydrate morphology: Physical properties of sands with patchy hydrate saturation","interactions":[],"lastModifiedDate":"2013-03-14T11:05:33","indexId":"70041363","displayToPublicDate":"2012-12-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Hydrate morphology: Physical properties of sands with patchy hydrate saturation","docAbstract":"The physical properties of gas hydrate-bearing sediments depend on the volume fraction and spatial distribution of the hydrate phase. The host sediment grain size and the state of effective stress determine the hydrate morphology in sediments; this information can be used to significantly constrain estimates of the physical properties of hydrate-bearing sediments, including the coarse-grained sands subjected to high effective stress that are of interest as potential energy resources. Reported data and physical analyses suggest hydrate-bearing sands contain a heterogeneous, patchy hydrate distribution, whereby zones with 100% pore-space hydrate saturation are embedded in hydrate-free sand. Accounting for patchy rather than homogeneous hydrate distribution yields more tightly constrained estimates of physical properties in hydrate-bearing sands and captures observed physical-property dependencies on hydrate saturation. For example, numerical modeling results of sands with patchy saturation agree with experimental observation, showing a transition in stiffness starting near the series bound at low hydrate saturations but moving toward the parallel bound at high hydrate saturations. The hydrate-patch size itself impacts the physical properties of hydrate-bearing sediments; for example, at constant hydrate saturation, we find that conductivity (electrical, hydraulic and thermal) increases as the number of hydrate-saturated patches increases. This increase reflects the larger number of conductive flow paths that exist in specimens with many small hydrate-saturated patches in comparison to specimens in which a few large hydrate saturated patches can block flow over a significant cross-section of the specimen.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012JB009667","usgsCitation":"Dai, S., Santamarina, J., Waite, W., and Kneafsey, T., 2012, Hydrate morphology: Physical properties of sands with patchy hydrate saturation: Journal of Geophysical Research B: Solid Earth, v. 117, no. B11, https://doi.org/10.1029/2012JB009667.","productDescription":"12 p.","startPage":"B11205","numberOfPages":"12","ipdsId":"IP-038897","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474224,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5635","text":"External Repository"},{"id":263661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263659,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012JB009667"}],"volume":"117","issue":"B11","noUsgsAuthors":false,"publicationDate":"2012-11-14","publicationStatus":"PW","scienceBaseUri":"50bfb97ee4b01744973f77a2","contributors":{"authors":[{"text":"Dai, S.","contributorId":9757,"corporation":false,"usgs":true,"family":"Dai","given":"S.","email":"","affiliations":[],"preferred":false,"id":469623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Santamarina, J.C.","contributorId":50283,"corporation":false,"usgs":true,"family":"Santamarina","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":469625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":469622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kneafsey, T.J.","contributorId":40330,"corporation":false,"usgs":true,"family":"Kneafsey","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":469624,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70041307,"text":"sir20125156 - 2012 - Estimated probability of arsenic in groundwater from bedrock aquifers in New Hampshire, 2011","interactions":[],"lastModifiedDate":"2016-08-10T15:53:54","indexId":"sir20125156","displayToPublicDate":"2012-12-04T00:00:00","publicationYear":"2012","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":"2012-5156","title":"Estimated probability of arsenic in groundwater from bedrock aquifers in New Hampshire, 2011","docAbstract":"Probabilities of arsenic occurrence in groundwater from bedrock aquifers at concentrations of 1, 5, and 10 micrograms per liter (µg/L) were estimated during 2011 using multivariate logistic regression. These estimates were developed for use by the New Hampshire Environmental Public Health Tracking Program. About 39 percent of New Hampshire bedrock groundwater was identified as having at least a 50 percent chance of containing an arsenic concentration greater than or equal to 1 µg/L. This compares to about 7 percent of New Hampshire bedrock groundwater having at least a 50 percent chance of containing an arsenic concentration equaling or exceeding 5 µg/L and about 5 percent of the State having at least a 50 percent chance for its bedrock groundwater to contain concentrations at or above 10 µg/L. The southeastern counties of Merrimack, Strafford, Hillsborough, and Rockingham have the greatest potential for having arsenic concentrations above 5 and 10 µg/L in bedrock groundwater.
\nSignificant predictors of arsenic in groundwater from bedrock aquifers for all three thresholds analyzed included geologic, geochemical, land use, hydrologic, topographic, and demographic factors. Among the three thresholds evaluated, there were some differences in explanatory variables, but many variables were the same. More than 250 individual predictor variables were assembled for this study and tested as potential predictor variables for the models. More than 1,700 individual measurements of arsenic concentration from a combination of public and private water-supply wells served as the dependent (or predicted) variable in the models.
\nThe statewide maps generated by the probability models are not designed to predict arsenic concentration in any single well, but they are expected to provide useful information in areas of the State that currently contain little to no data on arsenic concentration. They also may aid in resource decision making, in determining potential risk for private wells, and in ecological-level analysis of disease outcomes. The approach for modeling arsenic in groundwater could also be applied to other environmental contaminants that have potential implications for human health, such as uranium, radon, fluoride, manganese, volatile organic compounds, nitrate, and bacteria.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125156","collaboration":"Prepared in cooperation with the New Hampshire Department of Health and Human Services and the New Hampshire Department of Environmental Services","usgsCitation":"Ayotte, J., Cahillane, M., Hayes, L., and Robinson, K.W., 2012, Estimated probability of arsenic in groundwater from bedrock aquifers in New Hampshire, 2011: U.S. Geological Survey Scientific Investigations Report 2012-5156, Report: vi, 25 p.; Geospatial Data, https://doi.org/10.3133/sir20125156.","productDescription":"Report: vi, 25 p.; Geospatial Data","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":263642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5156.gif"},{"id":263592,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5156/"},{"id":263632,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5156/pdf/sir2012-5156_ayotte_508.pdf","text":"Report","size":"2.70 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":263633,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5156/pdf/usgs_nh_as.zip","text":"Geospatial data","size":"122 MB","linkFileType":{"id":6,"text":"zip"},"description":"Geospatial data"}],"country":"United States","state":"New Hampshire","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-72.4521,43.161414],[-72.452556,43.172117],[-72.443405,43.179729],[-72.45028,43.192485],[-72.437719,43.20275],[-72.4405,43.219049],[-72.433796,43.232999],[-72.438937,43.24424],[-72.438693,43.252905],[-72.435221,43.258483],[-72.421583,43.263442],[-72.41545,43.271374],[-72.407842,43.282892],[-72.401666,43.303395],[-72.395462,43.312994],[-72.410353,43.331675],[-72.400981,43.345775],[-72.390103,43.356926],[-72.403949,43.358098],[-72.413377,43.362741],[-72.415978,43.376531],[-72.413154,43.384302],[-72.403811,43.391935],[-72.395659,43.438541],[-72.390567,43.451225],[-72.3925,43.467364],[-72.382951,43.476],[-72.381723,43.480091],[-72.380894,43.493394],[-72.384773,43.500259],[-72.396305,43.508062],[-72.398563,43.513435],[-72.394218,43.5274],[-72.389097,43.528266],[-72.380383,43.54088],[-72.382783,43.562459],[-72.37944,43.574069],[-72.373126,43.579419],[-72.349926,43.587726],[-72.328514,43.600805],[-72.328232,43.606839],[-72.3327,43.610313],[-72.334401,43.61925],[-72.33236,43.62507],[-72.327236,43.630534],[-72.32966,43.634648],[-72.314083,43.64281],[-72.31402,43.656158],[-72.304322,43.669507],[-72.303092,43.678078],[-72.30602,43.683061],[-72.305326,43.69577],[-72.299715,43.706558],[-72.292215,43.711333],[-72.27118,43.734138],[-72.264245,43.734158],[-72.232713,43.748286],[-72.218099,43.765729],[-72.205193,43.770952],[-72.2053,43.784474],[-72.195552,43.791492],[-72.190754,43.800807],[-72.184847,43.804698],[-72.183333,43.808177],[-72.18857,43.821153],[-72.182203,43.834032],[-72.182864,43.845109],[-72.187916,43.856126],[-72.184788,43.863393],[-72.182956,43.865335],[-72.167476,43.86915],[-72.173576,43.87967],[-72.170604,43.886388],[-72.160819,43.887223],[-72.151324,43.901704],[-72.121002,43.918956],[-72.118013,43.923292],[-72.116767,43.933923],[-72.118985,43.943225],[-72.117839,43.946828],[-72.105875,43.94937],[-72.098689,43.95766],[-72.100543,43.962478],[-72.090357,43.965409],[-72.104972,43.96995],[-72.110945,43.966959],[-72.114273,43.967513],[-72.111756,43.984943],[-72.116985,43.99448],[-72.103765,44.002837],[-72.105292,44.012663],[-72.102475,44.014882],[-72.098897,44.015477],[-72.093384,44.01045],[-72.090059,44.009903],[-72.090504,44.012736],[-72.095193,44.016666],[-72.0951,44.021831],[-72.09203,44.024459],[-72.084871,44.021308],[-72.082432,44.022154],[-72.081357,44.028529],[-72.075004,44.032789],[-72.079397,44.039531],[-72.078989,44.042886],[-72.06215,44.049931],[-72.068405,44.054021],[-72.067612,44.058034],[-72.057173,44.058646],[-72.048289,44.069136],[-72.051602,44.075193],[-72.042088,44.077008],[-72.036641,44.073999],[-72.031898,44.076241],[-72.048781,44.087141],[-72.046235,44.089538],[-72.03429,44.090138],[-72.031878,44.093359],[-72.03124,44.100101],[-72.039674,44.103371],[-72.042943,44.097636],[-72.048334,44.096905],[-72.052391,44.101088],[-72.054831,44.110137],[-72.052342,44.119891],[-72.041948,44.125653],[-72.037506,44.124708],[-72.033703,44.131541],[-72.041983,44.137165],[-72.042867,44.151288],[-72.040167,44.157023],[-72.042387,44.160817],[-72.047593,44.161801],[-72.053021,44.167903],[-72.057496,44.179444],[-72.066166,44.189773],[-72.064577,44.196949],[-72.058987,44.202114],[-72.058605,44.208215],[-72.053233,44.216876],[-72.053582,44.22604],[-72.047889,44.238493],[-72.050112,44.244046],[-72.059782,44.256018],[-72.061174,44.263377],[-72.05874,44.270005],[-72.064544,44.267997],[-72.067774,44.270976],[-72.065434,44.277235],[-72.053355,44.290501],[-72.046302,44.291983],[-72.033465,44.301878],[-72.033136,44.320365],[-72.029061,44.322398],[-72.01913,44.320383],[-72.009977,44.321951],[-71.988306,44.329768],[-71.984617,44.336243],[-71.98112,44.3375],[-71.945163,44.337744],[-71.935395,44.33577],[-71.92911,44.337577],[-71.917434,44.346535],[-71.906909,44.348284],[-71.872472,44.336628],[-71.852628,44.340873],[-71.833261,44.350136],[-71.814351,44.354541],[-71.812206,44.357356],[-71.816157,44.367559],[-71.812424,44.372532],[-71.815251,44.374594],[-71.814388,44.381932],[-71.800316,44.384276],[-71.803488,44.39189],[-71.793924,44.399271],[-71.778613,44.399799],[-71.761966,44.407027],[-71.756091,44.406401],[-71.749533,44.401955],[-71.743104,44.401657],[-71.735923,44.410062],[-71.715087,44.41049],[-71.699434,44.416069],[-71.67995,44.427908],[-71.679933,44.434062],[-71.66183,44.440293],[-71.653348,44.460499],[-71.645068,44.460545],[-71.640404,44.464186],[-71.647864,44.469976],[-71.64589,44.475141],[-71.639312,44.477836],[-71.632795,44.48389],[-71.627655,44.484207],[-71.622089,44.481387],[-71.617614,44.485715],[-71.609568,44.484348],[-71.59948,44.486455],[-71.594303,44.500749],[-71.586972,44.498526],[-71.586648,44.502873],[-71.577643,44.502692],[-71.577068,44.504041],[-71.583233,44.508268],[-71.594259,44.52168],[-71.582505,44.524403],[-71.574456,44.53366],[-71.573083,44.53798],[-71.575193,44.540859],[-71.596804,44.553424],[-71.598116,44.555412],[-71.596137,44.560898],[-71.59017,44.565694],[-71.569599,44.562777],[-71.559846,44.564119],[-71.557972,44.570451],[-71.552629,44.569543],[-71.548728,44.571873],[-71.5533,44.576924],[-71.5532,44.580683],[-71.544922,44.579278],[-71.537724,44.584785],[-71.536251,44.588441],[-71.553447,44.593451],[-71.556014,44.601383],[-71.553873,44.607069],[-71.55656,44.616988],[-71.55576,44.624119],[-71.551722,44.627598],[-71.554634,44.632197],[-71.562124,44.63658],[-71.562636,44.639505],[-71.558859,44.640122],[-71.558571,44.644373],[-71.566144,44.653863],[-71.570235,44.650483],[-71.575145,44.650612],[-71.57571,44.654574],[-71.586578,44.659478],[-71.584574,44.665351],[-71.585645,44.669277],[-71.581983,44.673533],[-71.596304,44.679083],[-71.594224,44.683815],[-71.598042,44.692818],[-71.59436,44.695996],[-71.600162,44.698919],[-71.59975,44.705318],[-71.604912,44.70815],[-71.613094,44.718933],[-71.618355,44.72261],[-71.617431,44.72805],[-71.624922,44.729032],[-71.62518,44.743978],[-71.626909,44.747224],[-71.631109,44.748689],[-71.631883,44.752463],[-71.617941,44.755883],[-71.614238,44.758664],[-71.611767,44.764345],[-71.604615,44.767738],[-71.596035,44.775422],[-71.596949,44.778987],[-71.592966,44.782776],[-71.580005,44.78548],[-71.573247,44.791882],[-71.571706,44.79483],[-71.573129,44.797947],[-71.569216,44.808813],[-71.572864,44.810383],[-71.5755,44.816058],[-71.567907,44.823832],[-71.562256,44.824632],[-71.557672,44.834421],[-71.552218,44.837775],[-71.556805,44.848808],[-71.548345,44.85553],[-71.550176,44.861609],[-71.545901,44.866134],[-71.534588,44.869698],[-71.529154,44.873559],[-71.528889,44.876928],[-71.512292,44.890246],[-71.51387,44.894648],[-71.501088,44.904433],[-71.495844,44.90498],[-71.49392,44.910923],[-71.500788,44.914535],[-71.515189,44.927317],[-71.516949,44.939704],[-71.514843,44.958741],[-71.516223,44.964569],[-71.52237,44.966308],[-71.527163,44.973668],[-71.531605,44.976023],[-71.538592,44.988182],[-71.53698,44.994177],[-71.530091,44.999656],[-71.514609,45.003957],[-71.507767,45.00817],[-71.487565,45.000936],[-71.479611,45.002905],[-71.476168,45.009054],[-71.464555,45.013637],[-71.502487,45.013367],[-71.500069,45.014212],[-71.499945,45.026323],[-71.494009,45.034345],[-71.491085,45.043671],[-71.49315,45.045772],[-71.500874,45.04511],[-71.505222,45.048791],[-71.505091,45.051465],[-71.500545,45.051943],[-71.497738,45.054751],[-71.496105,45.065082],[-71.498399,45.069629],[-71.489145,45.072308],[-71.486345,45.078503],[-71.480219,45.081316],[-71.480897,45.08303],[-71.471382,45.084199],[-71.467447,45.086851],[-71.464837,45.093023],[-71.449257,45.104522],[-71.445613,45.113367],[-71.440577,45.114464],[-71.428828,45.123881],[-71.426755,45.129672],[-71.437216,45.142333],[-71.433179,45.149166],[-71.42675,45.153257],[-71.423616,45.161096],[-71.424616,45.165872],[-71.419058,45.170488],[-71.414853,45.184908],[-71.408777,45.18797],[-71.405636,45.198139],[-71.39781,45.203553],[-71.403267,45.215348],[-71.415553,45.218001],[-71.417233,45.221293],[-71.44288,45.234799],[-71.443883,45.237061],[-71.438546,45.239004],[-71.433014,45.237656],[-71.429326,45.234228],[-71.420335,45.232719],[-71.402638,45.242589],[-71.394422,45.241216],[-71.391901,45.237216],[-71.385629,45.233214],[-71.37763,45.244203],[-71.363013,45.248205],[-71.357253,45.253336],[-71.356835,45.257175],[-71.363218,45.266429],[-71.360664,45.269835],[-71.353446,45.268695],[-71.347622,45.272125],[-71.344029,45.271167],[-71.336392,45.273066],[-71.331733,45.279969],[-71.320922,45.282324],[-71.314318,45.287033],[-71.309008,45.287238],[-71.301107,45.296563],[-71.284396,45.302434],[-71.28074,45.295188],[-71.27232,45.296694],[-71.264939,45.293446],[-71.266754,45.29123],[-71.262136,45.276098],[-71.250393,45.269191],[-71.245503,45.26887],[-71.239346,45.261925],[-71.236271,45.261126],[-71.231122,45.249712],[-71.221994,45.253543],[-71.220634,45.251121],[-71.2118,45.250457],[-71.203033,45.254302],[-71.198276,45.254257],[-71.194878,45.250515],[-71.183785,45.244932],[-71.180905,45.239858],[-71.173367,45.246348],[-71.162845,45.250332],[-71.148165,45.242412],[-71.13943,45.242958],[-71.131953,45.245423],[-71.127962,45.253672],[-71.124517,45.25527],[-71.119914,45.262287],[-71.120112,45.265738],[-71.116332,45.272322],[-71.107339,45.278612],[-71.105691,45.282498],[-71.109349,45.282222],[-71.110743,45.284576],[-71.105151,45.294635],[-71.097772,45.301906],[-71.085564,45.305476],[-71.076914,45.246912],[-71.059004,45.004918],[-71.037518,44.755607],[-71.012749,44.340784],[-70.992842,43.916269],[-70.989067,43.79244],[-70.982083,43.715043],[-70.972716,43.570255],[-70.957234,43.561358],[-70.955017,43.554239],[-70.950838,43.551026],[-70.955252,43.540887],[-70.962153,43.541036],[-70.963531,43.536756],[-70.95822,43.531586],[-70.957214,43.524994],[-70.954066,43.52261],[-70.956856,43.512719],[-70.954755,43.509802],[-70.957958,43.508041],[-70.959185,43.499351],[-70.969572,43.486201],[-70.967968,43.480783],[-70.974245,43.47742],[-70.970946,43.4739],[-70.964542,43.473262],[-70.961428,43.469696],[-70.96045,43.466592],[-70.9669,43.450458],[-70.96164,43.443039],[-70.96115,43.438321],[-70.968782,43.434891],[-70.968359,43.429283],[-70.971039,43.425606],[-70.982898,43.419332],[-70.986812,43.414264],[-70.986677,43.403541],[-70.982565,43.39778],[-70.982876,43.394808],[-70.98739,43.393457],[-70.987649,43.389521],[-70.985205,43.386745],[-70.985965,43.380023],[-70.974156,43.362925],[-70.974863,43.357969],[-70.967229,43.343777],[-70.960439,43.341048],[-70.956528,43.334691],[-70.953034,43.333257],[-70.93711,43.337367],[-70.932735,43.33676],[-70.930783,43.329569],[-70.916421,43.320279],[-70.912004,43.319821],[-70.91246,43.308289],[-70.907405,43.304782],[-70.90231,43.304872],[-70.900386,43.301358],[-70.907405,43.293582],[-70.906005,43.291682],[-70.896304,43.285282],[-70.886504,43.282783],[-70.882804,43.273183],[-70.86323,43.265109],[-70.858207,43.256286],[-70.855082,43.255191],[-70.852015,43.256808],[-70.843302,43.254321],[-70.839213,43.251224],[-70.841059,43.249699],[-70.838678,43.242931],[-70.817865,43.237911],[-70.815453,43.229023],[-70.811852,43.228306],[-70.80964,43.225407],[-70.813119,43.217252],[-70.816903,43.214604],[-70.820763,43.19978],[-70.819344,43.193036],[-70.827201,43.189485],[-70.828301,43.186685],[-70.823501,43.174585],[-70.828301,43.168985],[-70.829101,43.157886],[-70.8338,43.146886],[-70.8268,43.127086],[-70.78388,43.100867],[-70.779098,43.095887],[-70.766398,43.092688],[-70.756397,43.079988],[-70.741897,43.077388],[-70.737897,43.073488],[-70.708896,43.074989],[-70.704696,43.070989],[-70.703799,43.059574],[-70.71363,43.056006],[-70.71355,43.042077],[-70.718936,43.03235],[-70.730426,43.025392],[-70.734363,43.013307],[-70.743793,43.008027],[-70.749969,42.991689],[-70.756701,42.991337],[-70.761474,42.986681],[-70.765222,42.975349],[-70.7718,42.968064],[-70.769673,42.964419],[-70.771729,42.961321],[-70.775597,42.957213],[-70.780383,42.955798],[-70.793996,42.93989],[-70.797806,42.930037],[-70.798153,42.920926],[-70.805971,42.916549],[-70.810069,42.909549],[-70.810999,42.892375],[-70.81586,42.88625],[-70.817296,42.87229],[-70.830795,42.868918],[-70.848625,42.860939],[-70.886136,42.88261],[-70.902768,42.88653],[-70.914886,42.886564],[-70.930799,42.884589],[-70.9665,42.868989],[-71.031201,42.859089],[-71.044401,42.848789],[-71.047501,42.844089],[-71.064201,42.806289],[-71.132503,42.821389],[-71.165603,42.808689],[-71.186104,42.790689],[-71.181803,42.73759],[-71.223904,42.746689],[-71.245504,42.742589],[-71.267905,42.72589],[-71.278929,42.711258],[-71.294205,42.69699],[-71.981402,42.713294],[-72.458519,42.726853],[-72.461001,42.733209],[-72.473071,42.745916],[-72.477615,42.761245],[-72.484878,42.76554],[-72.491122,42.772465],[-72.497949,42.772918],[-72.50069,42.767657],[-72.507985,42.764414],[-72.513105,42.763822],[-72.516082,42.765949],[-72.514836,42.771436],[-72.508372,42.77461],[-72.508858,42.779919],[-72.515838,42.78856],[-72.542784,42.808482],[-72.54855,42.842021],[-72.557247,42.853019],[-72.554232,42.860038],[-72.556214,42.86695],[-72.552834,42.884968],[-72.540708,42.889379],[-72.532777,42.896076],[-72.530218,42.911576],[-72.52443,42.915575],[-72.527431,42.943148],[-72.534554,42.949894],[-72.532186,42.954945],[-72.518422,42.96317],[-72.492597,42.967648],[-72.481706,42.973985],[-72.473827,42.972045],[-72.461627,42.982906],[-72.465335,42.989558],[-72.46294,42.996943],[-72.456936,43.001306],[-72.448714,43.001169],[-72.443762,43.006245],[-72.444635,43.010566],[-72.457035,43.017285],[-72.462397,43.02556],[-72.460252,43.040671],[-72.465896,43.047505],[-72.467363,43.052648],[-72.463812,43.057404],[-72.445202,43.071352],[-72.435316,43.083536],[-72.435191,43.086622],[-72.443051,43.100841],[-72.440587,43.106145],[-72.433129,43.112637],[-72.432972,43.119655],[-72.442933,43.130192],[-72.44078,43.131472],[-72.440905,43.135793],[-72.451986,43.138924],[-72.45689,43.146558],[-72.45714,43.148493],[-72.451802,43.153486],[-72.4521,43.161414]]]},\"properties\":{\"name\":\"New Hampshire\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bfb93ee4b01744973f779e","contributors":{"authors":[{"text":"Ayotte, Joseph D. jayotte@usgs.gov","contributorId":1802,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph D.","email":"jayotte@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":469509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cahillane, Matthew","contributorId":90615,"corporation":false,"usgs":true,"family":"Cahillane","given":"Matthew","affiliations":[],"preferred":false,"id":469512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Laura 0000-0002-4488-1343 lhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-1343","contributorId":2791,"corporation":false,"usgs":true,"family":"Hayes","given":"Laura","email":"lhayes@usgs.gov","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Keith W. kwrobins@usgs.gov","contributorId":2969,"corporation":false,"usgs":true,"family":"Robinson","given":"Keith","email":"kwrobins@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":469511,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70041310,"text":"70041310 - 2012 - Bird use of fields treated postharvest with two types of flooding in Tulare Basin, California","interactions":[],"lastModifiedDate":"2012-12-03T15:13:31","indexId":"70041310","displayToPublicDate":"2012-12-03T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Bird use of fields treated postharvest with two types of flooding in Tulare Basin, California","docAbstract":"We surveyed birds on grain and non-grain fields in the Tulare Basin of California treated post-harvest with two types of flooding that varied in duration and depth of water applied (Flooded-type fields [FLD]: <1 cm-1.5 m for >1 week; Irrigated-type fields [IRG]: <1-15 cm water for <1 week at a time). Our goal was to compare use of these field types by birds to guide habitat conservation in the region. During 19 August-6 December 2005, we counted a total of 80,316 birds during 23 surveys of 5 FLD (4 wheat, 1 alfalfa) fields and 8,225 birds during 38 surveys of 33 IRG (23 cotton, 4 tomato, 3 wheat, 1 alfalfa, 1 oat, 1 fallow) fields. We recorded 14 waterfowl (13 duck, 1 goose), 29 other waterbird (coots, shorebirds, grebes, pelicans, herons, egrets, gulls, terns), and 14 non-waterbird (passerines, raptors, and vultures) species on FLD fields compared to 5 duck, 14 other waterbird, and 9 non-waterbird species on IRG fields. Species composition differed by field type; waterfowl (FLD vs. IRG, 16.2% vs. 1.3%) and other waterbirds (80.4% vs. 71.6%) comprised a greater percentage and non-waterbirds (3.5% vs. 27.1%) a lower percentage of birds on FLD than on IRG fields. The modeled density estimate of waterfowl was 108 times greater on FLD than IRG fields and 7.4 times greater on grain than non-grain fields. The density estimate of other waterbirds was 11.8 times greater on FLD than IRG fields and 4.4 times greater on grain than non-grain fields. The density estimate of non-waterbirds was 14.3 times greater on grain than non-grain fields but did not differ by flood type. Long duration (i.e., >1 week) flooding increased waterbird use of grain fields in the Tulare Basin more than in the northern Central Valley. Thus, even though water costs are high in the Tulare Basin, if net benefit to waterbirds is considered, management programs that increase availability of FLD-type fields (especially grain) in the Tulare Basin may be a cost-effective option to help meet waterbird habitat conservation goals in the Central Valley of California.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Fish and Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Arlington, VA","doi":"10.3996/092011-JFWM-056","usgsCitation":"Fleskes, J.P., Skalos, D.A., and Farinha, M.A., 2012, Bird use of fields treated postharvest with two types of flooding in Tulare Basin, California: Journal of Fish and Wildlife Management, v. 3, no. 1, p. 164-174, https://doi.org/10.3996/092011-JFWM-056.","productDescription":"11 p.; Supplemental Material","startPage":"164","endPage":"174","ipdsId":"IP-032377","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474226,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/092011-jfwm-056","text":"Publisher Index Page"},{"id":263635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263634,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3996/092011-JFWM-056"}],"country":"United States","state":"California","otherGeospatial":"Central Valley;Tulare;Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.1851,34.8421 ], [ -121.1851,36.9861 ], [ -118.5257,36.9861 ], [ -118.5257,34.8421 ], [ -121.1851,34.8421 ] ] ] } } ] }","volume":"3","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bdc9eae4b0f6301734766f","contributors":{"authors":[{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":1889,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":469513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skalos, Daniel A.","contributorId":64123,"corporation":false,"usgs":true,"family":"Skalos","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":469515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farinha, Melissa A.","contributorId":7791,"corporation":false,"usgs":true,"family":"Farinha","given":"Melissa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":469514,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041305,"text":"70041305 - 2012 - Estimation of speciated and total mercury dry deposition at monitoring locations in eastern and central North America","interactions":[],"lastModifiedDate":"2012-12-05T09:32:59","indexId":"70041305","displayToPublicDate":"2012-12-03T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":922,"text":"Atmospheric Chemistry and Physics","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of speciated and total mercury dry deposition at monitoring locations in eastern and central North America","docAbstract":"Dry deposition of speciated mercury, i.e., gaseous oxidized mercury (GOM), particulate-bound mercury (PBM), and gaseous elemental mercury (GEM), was estimated for the year 2008–2009 at 19 monitoring locations in eastern and central North America. Dry deposition estimates were obtained by combining monitored two- to four-hourly speciated ambient concentrations with modeled hourly dry deposition velocities (Vd) calculated using forecasted meteorology. Annual dry deposition of GOM+PBM was estimated to be in the range of 0.4 to 8.1 μg m−2 at these locations with GOM deposition being mostly five to ten times higher than PBM deposition, due to their different modeled Vd values. Net annual GEM dry deposition was estimated to be in the range of 5 to 26 μg m−2 at 18 sites and 33 μg m−2 at one site. The estimated dry deposition agrees very well with limited surrogate-surface dry deposition measurements of GOM and PBM, and also agrees with litterfall mercury measurements conducted at multiple locations in eastern and central North America. This study suggests that GEM contributes much more than GOM+PBM to the total dry deposition at the majority of the sites considered here; the only exception is at locations close to significant point sources where GEM and GOM+PBM contribute equally to the total dry deposition. The relative magnitude of the speciated dry deposition and their good comparisons with litterfall deposition suggest that mercury in litterfall originates primarily from GEM, which is consistent with the limited number of previous field studies. The study also supports previous analyses suggesting that total dry deposition of mercury is equal to, if not more important than, wet deposition of mercury on a regional scale in eastern North America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Atmospheric Chemistry and Physics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union (Copernicus Publications)","publisherLocation":"Munich, Germany","doi":"10.5194/acp-12-4327-2012","usgsCitation":"Zhang, L., Blanchard, P., Gay, D., Prestbo, E., Risch, M., Johnson, D., Narayan, J., Zsolway, R., Holsen, T., Miller, E., Castro, M., Graydon, J., , L., and Dalziel, J., 2012, Estimation of speciated and total mercury dry deposition at monitoring locations in eastern and central North America: Atmospheric Chemistry and Physics, v. 12, no. 9, p. 4327-4340, https://doi.org/10.5194/acp-12-4327-2012.","productDescription":"14 p.","startPage":"4327","endPage":"4340","ipdsId":"IP-033882","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":489181,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/acp-12-4327-2012","text":"Publisher Index Page"},{"id":263594,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/acp-12-4327-2012"},{"id":263596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States;Canada","otherGeospatial":"Piney Reservoir;Beltsville;Grand Bay Nerr;Thompson Farm;Brigantine;New Brunswick;Chester;Elizabeth Lab;Kejimkujik National Park;Bronx;Huntington Wildlife;Rochester;Rochester B;Athens Super Site;Stilwell;Antelope Island;Salt Lake City;Underhill;Canaan Valley Institute;Experimental Lakes Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.46,29.45 ], [ -114.46,50.51 ], [ -61.68,50.51 ], [ -61.68,29.45 ], [ -114.46,29.45 ] ] ] } } ] }","volume":"12","issue":"9","noUsgsAuthors":false,"publicationDate":"2012-05-15","publicationStatus":"PW","scienceBaseUri":"50bd12dce4b069d93eefc4b2","contributors":{"authors":[{"text":"Zhang, L.","contributorId":41543,"corporation":false,"usgs":true,"family":"Zhang","given":"L.","email":"","affiliations":[],"preferred":false,"id":469495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blanchard, P.","contributorId":70267,"corporation":false,"usgs":true,"family":"Blanchard","given":"P.","affiliations":[],"preferred":false,"id":469500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gay, D.A.","contributorId":54018,"corporation":false,"usgs":true,"family":"Gay","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":469496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prestbo, E.M.","contributorId":83739,"corporation":false,"usgs":true,"family":"Prestbo","given":"E.M.","affiliations":[],"preferred":false,"id":469502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Risch, M.R.","contributorId":55032,"corporation":false,"usgs":true,"family":"Risch","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":469497,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, D.","contributorId":85955,"corporation":false,"usgs":true,"family":"Johnson","given":"D.","email":"","affiliations":[],"preferred":false,"id":469503,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Narayan, J.","contributorId":41309,"corporation":false,"usgs":true,"family":"Narayan","given":"J.","email":"","affiliations":[],"preferred":false,"id":469494,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zsolway, R.","contributorId":32059,"corporation":false,"usgs":true,"family":"Zsolway","given":"R.","email":"","affiliations":[],"preferred":false,"id":469492,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Holsen, T.M.","contributorId":33122,"corporation":false,"usgs":true,"family":"Holsen","given":"T.M.","affiliations":[],"preferred":false,"id":469493,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, E. K.","contributorId":9832,"corporation":false,"usgs":true,"family":"Miller","given":"E. K.","affiliations":[],"preferred":false,"id":469491,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Castro, M.S.","contributorId":65358,"corporation":false,"usgs":true,"family":"Castro","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":469499,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Graydon, J.A.","contributorId":7902,"corporation":false,"usgs":true,"family":"Graydon","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":469490,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":" Louis","contributorId":71353,"corporation":false,"usgs":true,"given":"Louis","email":"","affiliations":[],"preferred":false,"id":469501,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Dalziel, J.","contributorId":64484,"corporation":false,"usgs":true,"family":"Dalziel","given":"J.","email":"","affiliations":[],"preferred":false,"id":469498,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70041306,"text":"ds733 - 2012 - Seasonal variability in the surface sediments of Mobile Bay, Alabama, recorded by geochemistry and foraminifera, 2009–2010","interactions":[],"lastModifiedDate":"2012-12-03T08:22:14","indexId":"ds733","displayToPublicDate":"2012-12-03T00:00:00","publicationYear":"2012","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":"733","title":"Seasonal variability in the surface sediments of Mobile Bay, Alabama, recorded by geochemistry and foraminifera, 2009–2010","docAbstract":"A study was undertaken in order to document and quantify recent environmental change in Mobile Bay, Alabama. The study was part of the Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazard Susceptibility project, a regional project funded by the Coastal and Marine Geology Program to understand how natural forcings and anthropogenic modifications influence coastal ecosystems and their susceptibility to coastal hazards. Mobile Bay is a large drowned-river estuary that has been modified significantly by humans to accommodate the Port of Mobile. Examples include repeated dredging of a large shipping channel down the central axis of the bay and construction of a causeway across the head of the bay and at the foot of the bayhead delta. In addition to modifications, the bay is also known to have episodic periods of low oxygen (hypoxia) that result in significant mortality to fish and benthic organisms (May, 1973). For this study a series of surface sediment samples were collected. Surface benthic foraminiferal and bulk geochemical data provide the modern baseline conditions of the bay and can be used as a reference to changing environmental parameters in the past (Osterman and Smith, in press) and into the future. This report archives data collected as part of the Mobile Bay Study that may be used in future environmental change studies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds733","usgsCitation":"Umberger, D., Osterman, L., Smith, C., Frazier, J., and Richwine, K., 2012, Seasonal variability in the surface sediments of Mobile Bay, Alabama, recorded by geochemistry and foraminifera, 2009–2010: U.S. Geological Survey Data Series 733, iii, 25 p., https://doi.org/10.3133/ds733.","productDescription":"iii, 25 p.","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":263591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_733.jpg"},{"id":263589,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/733/"},{"id":263590,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/733/pdf/ds733.pdf"}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.166667,30.166667 ], [ -88.166667,30.666667 ], [ -87.666667,30.666667 ], [ -87.666667,30.166667 ], [ -88.166667,30.166667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bd12eee4b069d93eefc4b6","contributors":{"authors":[{"text":"Umberger, D.K.","contributorId":13356,"corporation":false,"usgs":true,"family":"Umberger","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":469504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osterman, L.E.","contributorId":53836,"corporation":false,"usgs":true,"family":"Osterman","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":469506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, C.G.","contributorId":105947,"corporation":false,"usgs":true,"family":"Smith","given":"C.G.","email":"","affiliations":[],"preferred":false,"id":469508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frazier, J.","contributorId":88439,"corporation":false,"usgs":true,"family":"Frazier","given":"J.","email":"","affiliations":[],"preferred":false,"id":469507,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richwine, K.A.","contributorId":15906,"corporation":false,"usgs":true,"family":"Richwine","given":"K.A.","affiliations":[],"preferred":false,"id":469505,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}