Streamflow data are commonly used to estimate recharge rates in humid and subhumid regions, in part because of the abundance of streamflow data and the availability of computer programs for analyzing those data. Most of the methods described in this chapter are easy to use, but application of any of the methods should be accompanied by a careful analysis of the underlying assumptions. The methods estimate exchange rates between groundwater and surface-water bodies. That exchange can represent focused recharge from a losing stream, or, as in the case of groundwater discharge to a stream, the exchange can reflect diffuse recharge that occurs over widespread areas. Some of these methods may be unfamiliar to groundwater hydrologists because they were not developed specifically for the study of groundwater recharge; instead, they were developed for purposes such as sizing of culverts and bridge openings, predicting low-flow rates in streams, or developing an understanding of stream-water quality and the ability of a stream to assimilate solutes and contaminants. The fact that base-flow or recharge estimates are generated as byproducts of these methods does not diminish the usefulness or applicability of the methods in recharge studies.
Techniques presented herein include the stream water-budget method, seepage meters, Darcy methods, streamflow duration curves, traditional streamflow hydrograph analyses (including hydrograph separation and recession-curve displacement), and chemical and isotopic hydrograph separation techniques. Some of these methods are designed specifically for estimating focused recharge; others are for estimating diffuse recharge. Discussions are centered on groundwater movement to or from streams, but the principles discussed and the methods described are equally applicable for groundwater exchange with other surface-water bodies, such as lakes, reservoirs, and wetlands. Proper application of any method requires a good conceptual model of the hydrologic system and a solid understanding of underlying assumptions. Prior to presentation of individual methods, background discussions are given on the exchange of groundwater and surface water and on the relationship between base flow and recharge. These discussions illustrate assumptions inherent to the methods and provide some guidelines for assessing the validity of those assumptions.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Estimating groundwater recharge","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/CBO9780511780745.005","usgsCitation":"Healy, R.W., 2010, Methods based on surface-water data, chap. 4 of Estimating groundwater recharge, p. 74-96, https://doi.org/10.1017/CBO9780511780745.005.","productDescription":"23 p.","startPage":"74","endPage":"96","ipdsId":"IP-012364","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59819317e4b0e2f5d463b7ad","contributors":{"authors":[{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706884,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70192423,"text":"70192423 - 2010 - GAGES: A stream gage database for evaluating natural and alteredflow conditions in the conterminous United States","interactions":[],"lastModifiedDate":"2017-11-15T12:12:51","indexId":"70192423","displayToPublicDate":"2010-12-31T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"GAGES: A stream gage database for evaluating natural and alteredflow conditions in the conterminous United States","docAbstract":"Stream flow is a controlling element in the ecology of rivers and streams. Knowledge of the natural flow regime facilitates the assessment of whether specific hydrologic attributes have been altered by humans in a particular stream and the establishment of specific goals for stream-flow restoration. Because most streams are ungaged or have been altered by human influences, characterizing the natural flow regime is often only possible by estimating flow characteristics based on nearby stream gages of reference quality, i.e., gaged locations that are least disturbed by human influences. The ability to evaluate natural stream flow, that which is not altered by human activities, would be enhanced by the existence of a nationally consistent and up-to-date database of gages in relatively undisturbed watersheds.\nAs part of a national effort to characterize stream-flow effects on ecological condition, data for 6785 U.S. Geological Survey (USGS) stream gages and their upstream watersheds were compiled. The sites comprise all USGS stream gages in the conterminous United States with at least 20 years of complete-year flow record from 1950–2007, and for which watershed boundaries could reliably be delineated (median size ¼ 578 km2). Several hundred watershed and site characteristics were calculated or compiled from national data sources, including environmental features (e.g., climate, geology, soils, topography) and anthropogenic influences (e.g., land use, roads, presence of dams, or canals).\nIn addition, watersheds were assessed for their reference quality within nine broad regions for use in studies intended to characterize stream flows under conditions minimally influenced by human activities. Three primary criteria were used to assess reference quality: (1) a quantitative index of anthropogenic modification within the watershed based on GIS-derived variables, (2) visual inspection of every stream gage and drainage basin from recent high-resolution imagery and topographic maps, and (3) information about man-made influences from USGS Annual Water Data Reports. From the set of 6785 sites, we identified 1512 as reference-quality stream gages. All data derived for these watersheds as well as the reference condition evaluation are provided as an online data set termed GAGES (geospatial attributes of gages for evaluating stream flow).","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-0889.1","usgsCitation":"Falcone, J.A., Carlisle, D.M., Wolock, D.M., and Meador, M., 2010, GAGES: A stream gage database for evaluating natural and alteredflow conditions in the conterminous United States: Ecology, v. 91, no. 2, p. 621-621, https://doi.org/10.1890/09-0889.1.","productDescription":"1 p.","startPage":"621","endPage":"621","ipdsId":"IP-010360","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":475629,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/09-0889.1","text":"Publisher Index Page"},{"id":348884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"91","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610a96e4b06e28e9c256b7","contributors":{"authors":[{"text":"Falcone, James A. 0000-0001-7202-3592 jfalcone@usgs.gov","orcid":"https://orcid.org/0000-0001-7202-3592","contributorId":173496,"corporation":false,"usgs":true,"family":"Falcone","given":"James","email":"jfalcone@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":false,"id":715776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":715774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":715775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meador, Michael R. mrmeador@usgs.gov","contributorId":615,"corporation":false,"usgs":true,"family":"Meador","given":"Michael R.","email":"mrmeador@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":715777,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98975,"text":"sir20105198 - 2010 - Streamflow gain-loss characteristics of Elkhead Creek downstream from Elkhead Reservoir near Craig, Colorado, 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:10:06","indexId":"sir20105198","displayToPublicDate":"2010-12-31T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5198","title":"Streamflow gain-loss characteristics of Elkhead Creek downstream from Elkhead Reservoir near Craig, Colorado, 2009","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Colorado Water Conservation Board, the Upper Colorado River Endangered Fish Recovery Program (UCREFRP), Colorado Division of Water Resources, and City of Craig studied the gain-loss characteristics of Elkhead Creek downstream from Elkhead Reservoir to the confluence with the Yampa River during August through October 2009. Earlier qualitative interpretation of streamflow data downstream from the reservoir indicated that there could be a transit loss of nearly 10 percent. This potential loss could be a significant portion of the releases from Elkhead Reservoir requested by UCREFRP during late summer and early fall for improving critical habitat for endangered fish downstream in the Yampa River. Information on the gain-loss characteristics was needed for the effective management of the reservoir releases.\r\n\r\nIn order to determine streamflow gain-loss characteristics for Elkhead Creek, eight measurement sets were made at four strategic instream sites and at one diversion from August to early October 2009. An additional measurement set was made after the study period during low-flow conditions in November 2009. Streamflow measurements were made using an Acoustic Doppler Velocimeter to provide high accuracy and consistency, especially at low flows. During this study, streamflow ranged from about 5 cubic feet per second up to more than 90 cubic feet per second with step increments in between. Measurements were made at least 24 hours after a change in reservoir release (streamflow) during steady-state conditions.\r\n\r\nThe instantaneous streamflow measurements and the streamflow volume comparisons show the reach of Elkhead Creek immediately downstream from Elkhead Reservoir to the streamflow-gaging station 09246500, Elkhead Creek near Craig, CO, is neither a gaining nor losing reach. The instantaneous measurements immediately downstream from the dam and the combined measurements of Norvell ditch plus streamflow-gaging station 09246500 are mostly within the plus or minus 5-percent measurement error of each other. The variability of data is such that sometimes the streamflow is greater upstream than downstream and sometimes the streamflow is greater downstream than upstream. Streamflow volumes were calculated for multiple time periods as determined by a change in release from the reservoir. Streamflow volumes were greater downstream than upstream for all but one time period. The predominance of greater streamflows downstream is due to the difference between the USGS instantaneous measurements and record computation with the Supervisory Control and Data Acquisition (SCADA) record at the dam. Immediately following an increase in streamflow from the reservoir, the downstream volume was smaller than the upstream volume, but this was an artifact of the traveltime between the two sites and possibly small amounts of water entering the streambank. Traveltimes were shorter at higher streamflows and when streamflow was increasing.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105198","collaboration":"Prepared in cooperation with the Colorado Water Conservation Board, Colorado River Water Conservation District, Upper Colorado River Endangered Fish Recovery Program, Colorado Division of Water Resources, and City of Craig\r\n","usgsCitation":"Ruddy, B.C., 2010, Streamflow gain-loss characteristics of Elkhead Creek downstream from Elkhead Reservoir near Craig, Colorado, 2009: U.S. Geological Survey Scientific Investigations Report 2010-5198, iv, 14 p., https://doi.org/10.3133/sir20105198.","productDescription":"iv, 14 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":116989,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5198.bmp"},{"id":14408,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5198/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.43416666666667,40.516666666666666 ], [ -107.43416666666667,40.56666666666667 ], [ -107.36749999999999,40.56666666666667 ], [ -107.36749999999999,40.516666666666666 ], [ -107.43416666666667,40.516666666666666 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4ddb","contributors":{"authors":[{"text":"Ruddy, Barbara C. bcruddy@usgs.gov","contributorId":4163,"corporation":false,"usgs":true,"family":"Ruddy","given":"Barbara","email":"bcruddy@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":307125,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98976,"text":"ds541 - 2010 - Recently active traces of the Bartlett Springs Fault, California: A digital database","interactions":[],"lastModifiedDate":"2022-10-27T19:06:19.27653","indexId":"ds541","displayToPublicDate":"2010-12-31T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"541","title":"Recently active traces of the Bartlett Springs Fault, California: A digital database","docAbstract":"The purpose of this map is to show the location of and evidence for recent movement on active fault traces within the Bartlett Springs Fault Zone, California. The location and recency of the mapped traces is primarily based on geomorphic expression of the fault as interpreted from large-scale aerial photography. In a few places, evidence of fault creep and offset Holocene strata in trenches and natural exposures have confirmed the activity of some of these traces.\r\nThis publication is formatted both as a digital database for use within a geographic information system (GIS) and for broader public access as map images that may be browsed on-line or download a summary map. The report text describes the types of scientific observations used to make the map, gives references pertaining to the fault and the evidence of faulting, and provides guidance for use of and limitations of the map.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds541","usgsCitation":"Lienkaemper, J.J., 2010, Recently active traces of the Bartlett Springs Fault, California: A digital database: U.S. Geological Survey Data Series 541, 1 Plate: 11.00 x 8.50 inches; Digital Database, https://doi.org/10.3133/ds541.","productDescription":"1 Plate: 11.00 x 8.50 inches; Digital Database","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":116990,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_541.bmp"},{"id":408815,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94722.htm","linkFileType":{"id":5,"text":"html"}},{"id":14409,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/541/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","country":"United States","state":"California","otherGeospatial":"Bartlett Springs Fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.5292,\n 39.5753\n ],\n [\n -123.5292,\n 40.0853\n ],\n [\n -123.0358,\n 40.0853\n ],\n [\n -123.0358,\n 39.5753\n ],\n [\n -123.5292,\n 39.5753\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a90e4b07f02db655861","contributors":{"authors":[{"text":"Lienkaemper, James J. 0000-0002-7578-7042 jlienk@usgs.gov","orcid":"https://orcid.org/0000-0002-7578-7042","contributorId":1941,"corporation":false,"usgs":true,"family":"Lienkaemper","given":"James","email":"jlienk@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":307126,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98972,"text":"ofr20101298 - 2010 - Geochemical data for core and bottom-sediment samples collected in 2007 from Grand Lake O' the Cherokees, northeast Oklahoma","interactions":[],"lastModifiedDate":"2019-08-05T10:03:32","indexId":"ofr20101298","displayToPublicDate":"2010-12-29T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1298","title":"Geochemical data for core and bottom-sediment samples collected in 2007 from Grand Lake O' the Cherokees, northeast Oklahoma","docAbstract":"Grand Lake O' the Cherokees is a large reservoir in northeast Oklahoma, below the confluence of the Neosho and Spring Rivers, both of which drain the Tri-State Mining District to the north. The Tri-State district covers an area of 1,200 mi2 (3,100 km2) and comprises Mississippi Valley-type lead-zinc deposits. A result of 120 years of mining activity is an estimated 75 million tons of processed mine tailings (chat) remaining in the district. Concerns of sediment quality and the possibility of human exposure to cadmium and lead through eating fish have led to several studies of the sediments in the Tri-State district.\r\n\r\nIn order to record the transport and deposition of metals from the Tri-State district by the Spring and Neosho Rivers into Grand Lake O' the Cherokees, the U.S. Geological Survey collected 11 sediment cores and 15 bottom-sediment samples in September 2007. Subsamples from five selected cores and the bottom-sediment samples were analyzed for major and trace elements and forms of carbon.\r\n\r\nThe sediment samples collected from the sediment-water interface had larger average concentrations of zinc, cadmium, and lead than local background. The core collected from the Spring River had the largest concentrations of mining-related elements. A core collected just south of Twin Bridges State Park, at the confluence of the Spring and Neosho Rivers, showed a mixing zone with more mining-related elements coming from the Spring River side. The element zinc showed the most definitive patterns in graphs depicting concentration-versus-depth profiles. A core collected from the main body of the reservoir showed affected sediment down to a depth of 85 cm (33 in). This core and two others appear to have penetrated to below mining-affected sediment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101298","usgsCitation":"Fey, D.L., Becker, M.F., and Smith, K.S., 2010, Geochemical data for core and bottom-sediment samples collected in 2007 from Grand Lake O' the Cherokees, northeast Oklahoma: U.S. Geological Survey Open-File Report 2010-1298, vi, 20 p., https://doi.org/10.3133/ofr20101298.","productDescription":"vi, 20 p.","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":126055,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1298.png"},{"id":14404,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1298/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.08333333333333,36.4 ], [ -95.08333333333333,36.86666666666667 ], [ -94.63333333333334,36.86666666666667 ], [ -94.63333333333334,36.4 ], [ -95.08333333333333,36.4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae74b","contributors":{"authors":[{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":307120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Becker, Mark F.","contributorId":40180,"corporation":false,"usgs":true,"family":"Becker","given":"Mark","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":307121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Kathleen S. 0000-0001-8547-9804 ksmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8547-9804","contributorId":182,"corporation":false,"usgs":true,"family":"Smith","given":"Kathleen","email":"ksmith@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":307122,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98973,"text":"ofr20101303 - 2010 - Comprehensive database of wellbore temperatures and drilling mud weight pressures by depth for Judge Digby field, Louisiana","interactions":[],"lastModifiedDate":"2012-02-10T00:10:06","indexId":"ofr20101303","displayToPublicDate":"2010-12-29T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1303","title":"Comprehensive database of wellbore temperatures and drilling mud weight pressures by depth for Judge Digby field, Louisiana","docAbstract":"This document serves as the repository for the unprocessed data used in the investigation of temperature and overpressure relations within the deep Tuscaloosa Formation in Judge Digby field. It is a compilation of all the publicly accessible wellbore temperature and pressure data for Judge Digby field, a prolific natural gas field producing from the Upper Cretaceous lower part of the Tuscaloosa Formation in the Gulf Coast region. This natural gas field is in Pointe Coupee Parish in the southern part of onshore Louisiana.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101303","usgsCitation":"Burke, L., 2010, Comprehensive database of wellbore temperatures and drilling mud weight pressures by depth for Judge Digby field, Louisiana: U.S. Geological Survey Open-File Report 2010-1303, iv, 207 p.; Database XLS, https://doi.org/10.3133/ofr20101303.","productDescription":"iv, 207 p.; Database XLS","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":126056,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1303.png"},{"id":14405,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1303/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.58333333333333,30.583333333333332 ], [ -91.58333333333333,30.666666666666668 ], [ -91.5,30.666666666666668 ], [ -91.5,30.583333333333332 ], [ -91.58333333333333,30.583333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b19e4b07f02db6a7f35","contributors":{"authors":[{"text":"Burke, Lauri 0000-0002-2035-8048","orcid":"https://orcid.org/0000-0002-2035-8048","contributorId":44891,"corporation":false,"usgs":true,"family":"Burke","given":"Lauri","affiliations":[],"preferred":false,"id":307123,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":9000523,"text":"ofr20101304 - 2010 - Reducing Uncertainty in the Distribution of Hydrogeologic Units within Volcanic Composite Units of Pahute Mesa Using High-Resolution 3-D Resistivity Methods, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ofr20101304","displayToPublicDate":"2010-12-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1304","title":"Reducing Uncertainty in the Distribution of Hydrogeologic Units within Volcanic Composite Units of Pahute Mesa Using High-Resolution 3-D Resistivity Methods, Nevada Test Site, Nevada","docAbstract":"The U.S. Department of Energy (DOE) and the National Nuclear Security Administration (NNSA) at their Nevada Site Office (NSO) are addressing groundwater contamination resulting from historical underground nuclear testing through the Environmental Management program and, in particular, the Underground Test Area (UGTA) project. From 1951 to 1992, 828 underground nuclear tests were conducted at the Nevada Test Site (NTS) northwest of Las Vegas (DOE UGTA, 2003). Most of these tests were conducted hundreds of feet above the groundwater table; however, more than 200 of the tests were near, or within, the water table. This underground testing was limited to specific areas of the NTS including Pahute Mesa, Rainier Mesa/Shoshone Mountain, Frenchman Flat, and Yucca Flat. Volcanic composite units make up much of the area within the Pahute Mesa Corrective Action Unit (CAU) at the NTS, Nevada. The extent of many of these volcanic composite units extends throughout and south of the primary areas of past underground testing at Pahute and Rainier Mesas. As situated, these units likely influence the rate and direction of groundwater flow and radionuclide transport. Currently, these units are poorly resolved in terms of their hydrologic properties introducing large uncertainties into current CAU-scale flow and transport models. In 2007, the U.S. Geological Survey (USGS), in cooperation with DOE and NNSA-NSO acquired three-dimensional (3-D) tensor magnetotelluric data at the NTS in Area 20 of Pahute Mesa CAU. A total of 20 magnetotelluric recording stations were established at about 600-m spacing on a 3-D array and were tied to ER20-6 well and other nearby well control (fig. 1). The purpose of this survey was to determine if closely spaced 3-D resistivity measurements can be used to characterize the distribution of shallow (600- to 1,500-m-depth range) devitrified rhyolite lava-flow aquifers (LFA) and zeolitic tuff confining units (TCU) in areas of limited drill hole control on Pahute Mesa within the Calico Hills zeolitic volcanic composite unit (VCU), an important hydrostratigraphic unit in Area 20. The resistivity response was evaluated and compared with existing well data and hydrogeologic unit tops from the current Pahute Mesa framework model. In 2008, the USGS processed and inverted the magnetotelluric data into a 3-D resistivity model. We interpreted nine depth slices and four west-east profile cross sections of the 3-D resistivity inversion model. This report documents the geologic interpretation of the 3-D resistivity model. Expectations are that spatial variations in the electrical properties of the Calico Hills zeolitic VCU can be detected and mapped with 3-D resistivity, and that these changes correlate to differences in rock permeability. With regard to LFA and TCU, electrical resistivity and permeability are typically related. Tuff confining units will typically have low electrical resistivity and low permeability, whereas LFA will have higher electrical resistivity and zones of higher fracture-related permeability. If expectations are shown to be correct, the method can be utilized by the UGTA scientists to refine the hydrostratigraphic unit (HSU) framework in an effort to more accurately predict radionuclide transport away from test areas on Pahute and Rainier Mesas.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101304","usgsCitation":"Rodriguez, B.D., Sweetkind, D., and Burton, B., 2010, Reducing Uncertainty in the Distribution of Hydrogeologic Units within Volcanic Composite Units of Pahute Mesa Using High-Resolution 3-D Resistivity Methods, Nevada Test Site, Nevada: U.S. Geological Survey Open-File Report 2010-1304, v, 32 p.; Appendices; Figures; Tables , https://doi.org/10.3133/ofr20101304.","productDescription":"v, 32 p.; Appendices; Figures; Tables ","numberOfPages":"498","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":126009,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1304.png"},{"id":19182,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1304/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","country":"United States","state":"Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.45,37.25 ], [ -116.45,37.28333333333333 ], [ -116.4,37.28333333333333 ], [ -116.4,37.25 ], [ -116.45,37.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a60e4b07f02db63527c","contributors":{"authors":[{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":344202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Don","contributorId":28725,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Don","email":"","affiliations":[],"preferred":false,"id":344204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":344203,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":9000521,"text":"ofr20101309 - 2010 - Improved USGS methodology for assessing continuous petroleum resources using analogs","interactions":[],"lastModifiedDate":"2012-02-02T00:04:48","indexId":"ofr20101309","displayToPublicDate":"2010-12-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1309","title":"Improved USGS methodology for assessing continuous petroleum resources using analogs","docAbstract":"The currently used U.S. Geological Survey methodology for assessing continuous (unconventional) petroleum resources of the United States was developed in the 1990s. This methodology poorly incorporates uncertainty about the estimated ultimate recoveries (EURs). This is especially problematic for hypothetical assessment units where this may be the largest source of uncertainty that needs to be reflected in the estimates. An improved methodology estimates the uncertainty of mean EUR directly. It uses analog data that have been compiled from production histories of many developed U.S. continuous assessment units. The analog databases provide a way of estimating the variability of not just EURs but other production parameters useful in assessing continuous resources.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101309","usgsCitation":"Charpentier, R., and Cook, T., 2010, Improved USGS methodology for assessing continuous petroleum resources using analogs: U.S. Geological Survey Open-File Report 2010-1309, 27 p., https://doi.org/10.3133/ofr20101309.","productDescription":"27 p.","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":126057,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1309.png"},{"id":14406,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1309/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e8a2","contributors":{"authors":[{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":344196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Troy","contributorId":6418,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","affiliations":[],"preferred":false,"id":344197,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":9000522,"text":"ofr20101280 - 2010 - CO2calc: A User-Friendly Seawater Carbon Calculator for Windows, Mac OS X, and iOS (iPhone)","interactions":[],"lastModifiedDate":"2012-02-02T00:05:35","indexId":"ofr20101280","displayToPublicDate":"2010-12-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1280","title":"CO2calc: A User-Friendly Seawater Carbon Calculator for Windows, Mac OS X, and iOS (iPhone)","docAbstract":"A user-friendly, stand-alone application for the calculation of carbonate system parameters was developed by the U.S. Geological Survey Florida Shelf Ecosystems Response to Climate Change Project in response to its Ocean Acidification Task. The application, by Mark Hansen and Lisa Robbins, USGS St. Petersburg, FL, Joanie Kleypas, NCAR, Boulder, CO, and Stephan Meylan, Jacobs Technology, St. Petersburg, FL, is intended as a follow-on to CO2SYS, originally developed by Lewis and Wallace (1998) and later modified for Microsoft Excel? by Denis Pierrot (Pierrot and others, 2006). Besides eliminating the need for using Microsoft Excel on the host system, CO2calc offers several improvements on CO2SYS, including: An improved graphical user interface for data entry and results Additional calculations of air-sea CO2 fluxes (for surface water calculations) The ability to tag data with sample name, comments, date, time, and latitude/longitude The ability to use the system time and date and latitude/ longitude (automatic retrieval of latitude and longitude available on iPhone? 3, 3GS, 4, and Windows? hosts with an attached National Marine Electronics Association (NMEA)-enabled GPS) The ability to process multiple files in a batch processing mode An option to save sample information, data input, and calculated results as a comma-separated value (CSV) file for use with Microsoft Excel, ArcGIS,? or other applications An option to export points with geographic coordinates as a KMZ file for viewing and editing in Google EarthTM","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101280","collaboration":"Florida Shelf Ecosystems Response to Climate Change Project\r\n","usgsCitation":"Robbins, L.L., Hansen, M.E., Kleypas, J., and Meylan, S., 2010, CO2calc: A User-Friendly Seawater Carbon Calculator for Windows, Mac OS X, and iOS (iPhone): U.S. Geological Survey Open-File Report 2010-1280, iv, 17 p.; PC zip file; Macintosh disk image file; iTunes link , https://doi.org/10.3133/ofr20101280.","productDescription":"iv, 17 p.; PC zip file; Macintosh disk image file; iTunes link ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":115902,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1280.bmp"},{"id":19181,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1280/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f9834","contributors":{"authors":[{"text":"Robbins, L. L.","contributorId":71156,"corporation":false,"usgs":true,"family":"Robbins","given":"L.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":344200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, M. E.","contributorId":71157,"corporation":false,"usgs":true,"family":"Hansen","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":344201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kleypas, J.A.","contributorId":13221,"corporation":false,"usgs":true,"family":"Kleypas","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":344198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meylan, S.C.","contributorId":13964,"corporation":false,"usgs":true,"family":"Meylan","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":344199,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98971,"text":"ofr20101271 - 2010 - Bird migration patterns in the arid southwest-Final report","interactions":[],"lastModifiedDate":"2012-02-02T00:05:25","indexId":"ofr20101271","displayToPublicDate":"2010-12-23T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1271","title":"Bird migration patterns in the arid southwest-Final report","docAbstract":"To ensure full life-cycle conservation, we need to understand migrant behavior en route and how migrating species use stopover and migration aerohabitats. In the Southwest, birds traverse arid and mountainous landscapes in migration. Migrants are known to use riparian stopover habitats; we know less about how migrant density varies across the Southwest seasonally and annually, and how migrants use other habitat types during migratory stopover. Furthermore, we lack information about migrant flight altitudes, speeds, and directions of travel, and how these patterns vary seasonally and annually across the Southwest.\r\n\r\nUsing weather surveillance radar data, we identified targets likely dominated by nocturnally migrating birds and determined their flight altitudes, speeds, directions over ground, and variations in abundance. Migrating or foraging bats likely are present across the region in some of these data, particularly in central Texas. We found that migrants flew at significantly lower altitudes and significantly higher speeds in spring than in fall. In all seasons migrants maintained seasonally appropriate directions of movement. We detected significant differences in vertical structure of migrant densities that varied both geographically within seasons and seasonally within sites. We also found that in fall there was a greater and more variable passage of migrants through the central part of the borderlands (New Mexico and west Texas); in spring there was some suggestion of greater and more variable passage of migrants in the eastern borderlands (central and south Texas). Such patterns are consistent with the existence of at least two migration systems through western North America and the use of different migration routes in spring and fall for at least some species.\r\n\r\nUsing radar data and satellite land cover data, we determined the habitats with which migrants are associated during migration stopover. There were significant differences in bird densities among habitat types at all sites in at least one season. Upland forest habitat in parts of Arizona and New Mexico supported high migrant densities, especially in fall. Developed habitats in areas with little upland forest habitat also supported high migrant densities. Scrub/shrub and grassland habitats supported low to intermediate migrant densities, but because these habitat types dominate the region, they may support large numbers of migratory birds. This may be especially true for species that do not use forested habitats during migration.\r\n\r\nTarget identity remains a challenge for radar-based studies. Presence of bats in the data complicates interpretation of some observations, particularly from central Texas. Based on our results it is simplistic to: (1) consider the arid west as a largely inhospitable landscape in which there are only relatively small oases of habitat that provide the resources needed by all migrants; (2) think of western riparian and upland forest habitat as supporting the majority of migrants in all cases; or (3) consider a particular habitat type unimportant migrant stopover habitat based solely on migrant densities. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101271","collaboration":"In cooperation with University of Southern Mississippi, U.S Fish and Wildlife Service, Sonoran Joint Venture, and Lannan Foundation","usgsCitation":"Ruth, J.M., Felix, R.K., and Dieh, R.H., 2010, Bird migration patterns in the arid southwest-Final report: U.S. Geological Survey Open-File Report 2010-1271, vi, 51 p., https://doi.org/10.3133/ofr20101271.","productDescription":"vi, 51 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":126735,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1271.png"},{"id":14403,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1271/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af2e4b07f02db691952","contributors":{"authors":[{"text":"Ruth, Janet M. 0000-0003-1576-5957 janet_ruth@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-5957","contributorId":1408,"corporation":false,"usgs":true,"family":"Ruth","given":"Janet","email":"janet_ruth@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":307117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Felix, Rodney K.","contributorId":22753,"corporation":false,"usgs":true,"family":"Felix","given":"Rodney","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":307118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dieh, Robert H.","contributorId":50130,"corporation":false,"usgs":true,"family":"Dieh","given":"Robert","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":307119,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98969,"text":"sim3138 - 2010 - Water-level altitudes 2010 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973-2009 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas","interactions":[],"lastModifiedDate":"2017-03-29T16:53:29","indexId":"sim3138","displayToPublicDate":"2010-12-23T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3138","title":"Water-level altitudes 2010 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973-2009 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas","docAbstract":"Most of the subsidence in the Houston-Galveston region has occurred as a direct result of groundwater withdrawals for municipal supply, industrial use, and irrigation that depressured and dewatered the Chicot and Evangeline aquifers causing compaction of the clay layers of the aquifer sediments. This report, prepared by the U.S. Geological Survey, in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, and Lone Star Groundwater Conservation District, is one in an annual series of reports depicting water-level altitudes and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction in the Chicot and Evangeline aquifers in the Houston-Galveston region. The report contains maps showing 2010 water-level altitudes for the Chicot, Evangeline, and Jasper aquifers, respectively; maps showing 1-year (2009-10) water-level-altitude changes for each aquifer; maps showing 5-year (2005-10) water-level-altitude changes for each aquifer; maps showing long-term (1990-2010 and 1977-2010) water-level-altitude changes for the Chicot and Evangeline aquifers; a map showing long-term (2000-10) water-level-altitude change for the Jasper aquifer; a map showing locations of borehole extensometer sites; and graphs showing measured compaction of subsurface material at the extensometers from 1973, or later, through 2009. Tables listing the data used to construct each aquifer-data map and the compaction graphs are included. Water levels in the Chicot, Evangeline, and Jasper aquifers were measured during December 2009-March 2010. In 2010, water-level-altitude contours for the Chicot aquifer ranged from 200 feet below National Geodetic Vertical Datum of 1929 or North American Vertical Datum of 1988 (hereinafter, datum) in a small area in southwestern Harris County to 200 feet above datum in central to southwestern Montgomery County. Water-level-altitude changes in the Chicot aquifer ranged from a 49-foot decline to a 67-foot rise (2009-10), from a 25-foot decline to a 35-foot rise (2005-10), from a 40-foot decline to an 80-foot rise (1990-2010), and from a 140-foot decline to a 200-foot rise (1977-2010). In 2010, water-level-altitude contours for the Evangeline aquifer ranged from 300 feet below datum in north-central Harris County to 200 feet above datum at the boundary of Waller, Montgomery, and Grimes Counties. Water-level-altitude changes in the Evangeline aquifer ranged from a 58-foot decline to a 69-foot rise (2009-10), from an 80-foot decline to an 80-foot rise (2005-10), from a 200-foot decline to a 220-foot rise (1990-2010), and from a 320-foot decline to a 220-foot rise (1977-2010). In 2010, water-level-altitude contours for the Jasper aquifer ranged from 200 feet below datum in south-central Montgomery County to 250 feet above datum in eastern-central Grimes County. Water-level-altitude changes in the Jasper aquifer ranged from a 39-foot decline to a 39-foot rise (2009-10), from a 110-foot decline to no change (2005-10), and from a 180-foot decline to no change (2000-10). Compaction of subsurface materials (mostly in the clay layers) composing the Chicot and Evangeline aquifers was recorded continuously at 13 borehole extensometers at 11 sites. For the period of record beginning in 1973, or later, and ending in December 2009, cumulative clay compaction data measured by 12 extensometers ranged from 0.088 foot at the Texas City-Moses Lake site to 3.559 foot at the Addicks site. The rate of compaction varies from site to site because of differences in groundwater withdrawals near each site and differences among sites in the clay-to-sand ratio in the subsurface materials. Therefore, it is not possible to extrapolate or infer a rate of clay compaction for an area based on the rate of compaction measured at a nearby extensometer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/sim3138","collaboration":"In cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, and Lone Star Groundwater Conservation District","usgsCitation":"Kasmarek, M.C., Johnson, M., and Ramage, J.K., 2010, Water-level altitudes 2010 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973-2009 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas: U.S. Geological Survey Scientific Investigations Map 3138, vii, 17 p.; Downloads: Sheet 1: 17 inches x 22 inches; Sheet 2: 17 inches x 22 inches; Sheet 3: 17 inches x 22 inches; Sheet 4: 17 inches x 22 inches; Sheet 5: 17 inches x 22 inches; Sheet 6: 17 inches x 22 inches; Sheet 7: 17 inches x 22 inches; Sheet 8: 17 inches x 22 inches; Sheet 9: 17 inches x 22 inches; Sheet 10: 17 inches x 22 inches; Sheet 11: 17 inches x 22 inches; Sheet 12: 17 inches x 22 inches; Sheet 13: 17 inches x 22 inches; Sheet 14: 17 inches x 22 inches; Sheet 15: 17 inches x 22 inches; Sheet 16: 22.01 inches x 17 inches; Appendices; Tables, https://doi.org/10.3133/sim3138.","productDescription":"vii, 17 p.; Downloads: Sheet 1: 17 inches x 22 inches; Sheet 2: 17 inches x 22 inches; Sheet 3: 17 inches x 22 inches; Sheet 4: 17 inches x 22 inches; Sheet 5: 17 inches x 22 inches; Sheet 6: 17 inches x 22 inches; Sheet 7: 17 inches x 22 inches; Sheet 8: 17 inches x 22 inches; Sheet 9: 17 inches x 22 inches; Sheet 10: 17 inches x 22 inches; Sheet 11: 17 inches x 22 inches; Sheet 12: 17 inches x 22 inches; Sheet 13: 17 inches x 22 inches; Sheet 14: 17 inches x 22 inches; Sheet 15: 17 inches x 22 inches; Sheet 16: 22.01 inches x 17 inches; Appendices; Tables","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1973-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":583,"text":"Texas Water Science 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Center","active":true,"usgs":true}],"preferred":true,"id":307113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramage, Jason K. 0000-0001-8014-2874 jkramage@usgs.gov","orcid":"https://orcid.org/0000-0001-8014-2874","contributorId":3856,"corporation":false,"usgs":true,"family":"Ramage","given":"Jason","email":"jkramage@usgs.gov","middleInitial":"K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307114,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98970,"text":"sir20105226 - 2010 - Quantifying canal leakage rates using a mass-balance approach and heat-based hydraulic conductivity estimates in selected irrigation canals, western Nebraska, 2007 through 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"sir20105226","displayToPublicDate":"2010-12-23T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5226","title":"Quantifying canal leakage rates using a mass-balance approach and heat-based hydraulic conductivity estimates in selected irrigation canals, western Nebraska, 2007 through 2009","docAbstract":"The water supply in areas of the North Platte River Basin in the Nebraska Panhandle has been designated as fully appropriated or overappropriated by the Nebraska Department of Natural Resources (NDNR). Enacted legislation (Legislative Bill 962) requires the North Platte Natural Resources District (NPNRD) and the NDNR to develop an Integrated Management Plan (IMP) to balance groundwater and surface-water supply and demand in the NPNRD. A clear understanding of the groundwater and surface-water systems is critical for the development of a successful IMP. The primary source of groundwater recharge in parts of the NPNRD is from irrigation canal leakage. Because canal leakage constitutes a large part of the hydrologic budget, spatially distributing canal leakage to the groundwater system is important to any management strategy. Surface geophysical data collected along selected reaches of irrigation canals has allowed for the spatial distribution of leakage on a relative basis; however, the actual magnitude of leakage remains poorly defined. To address this need, the U.S. Geological Survey, in cooperation with the NPNRD, established streamflow-gaging stations at upstream and downstream ends from two selected canal reaches to allow a mass-balance approach to be used to calculate daily leakage rates. Water-level and sediment temperature data were collected and simulated at three temperature monitoring sites to allow the use of heat as a tracer to estimate the hydraulic conductivity of canal bed sediment. Canal-leakage rates were estimated by applying Darcy's Law to modeled vertical hydraulic conductivity and either the estimated or measured hydraulic gradient. This approach will improve the understanding of the spatial and temporal variability of canal leakage in varying geologic settings identified in capacitively coupled resistivity surveys.\r\n\r\nThe high-leakage potential study reach of the Tri-State Canal had two streamflow-gaging stations and two temperature monitoring sites along its length. Calculated leakage rates from the mass-balance approach varied from year to year and were generally dependent on local climatic conditions, and the timing and magnitude of the initial seasonal diversion into the Tri-State Canal. Leakage rates ranged from 0.98 meter per day (m/d) on June 22, 2007, to about to 0 m/d during July 2009. Drier conditions generally resulted in higher leakage rates because of reduced flow from Spottedtail Creek, lower groundwater levels near Spottedtail Creek, and no unmeasured flow entering the reach. Of the three years studied (2007-09), 2007 was the driest, and therefore had the highest canal leakage rates.\r\n\r\nThe moderately low leakage potential study reach of Interstate Canal had two streamflow-gaging stations and one temperature monitoring site along its length. Excluding the leakage calculations from early May 2007, leakage rates ranged from 0.08 to 0.7 m/d. Less variability in leakage from year to year indicates that climatic conditions may have less of an effect for Interstate Canal compared to Tri-State Canal. This may be because Interstate Canal was cut into the northern edge of the North Platte alluvial valley and consequently the canal bed is well above the local groundwater table resulting in a constant (1 meter per meter [m/m]) hydraulic gradient. Interstate Canal also does not receive any captured flow that can vary substantially year to year.\r\n\r\nTwo temperature monitoring sites were installed within the high-leakage potential reach of Tri-State Canal. Site TCTEMP1 was established in 2007 where the water table was well below the canal bed surface. The vertical hydraulic conductivity of the poorly sorted sand and gravel beneath site TCTEMP1 was estimated using a calibrated one-dimensional VS2DH model. Using a trial-and-error approach, the best-fit vertical hydraulic conductivity for the site TCTEMP1 model domain was 1.1 m/d. Site TCTEMP2 was established at the mouth of Spottedtail Creek where a shallow ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105226","collaboration":"Prepared in cooperation with the North Platte Natural Resources District","usgsCitation":"Hobza, C.M., and Andersen, M.J., 2010, Quantifying canal leakage rates using a mass-balance approach and heat-based hydraulic conductivity estimates in selected irrigation canals, western Nebraska, 2007 through 2009: U.S. Geological Survey Scientific Investigations Report 2010-5226, viii, 38 p.; Appendix, https://doi.org/10.3133/sir20105226.","productDescription":"viii, 38 p.; Appendix","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":126008,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5226.jpg"},{"id":14402,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5226/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.25,41.25 ], [ -104.25,42.25 ], [ -102.5,42.25 ], [ -102.5,41.25 ], [ -104.25,41.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a86e4b07f02db64db68","contributors":{"authors":[{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, Michael J. 0009-0006-5600-6032 mjanders@usgs.gov","orcid":"https://orcid.org/0009-0006-5600-6032","contributorId":1442,"corporation":false,"usgs":true,"family":"Andersen","given":"Michael","email":"mjanders@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307115,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70006214,"text":"70006214 - 2010 - Baseline survey for rare plant species and native plant communities within the Kamehameha Schools 'Lupea Safe Harbor Planning Project Area, North Kona District, Island of Hawai'i","interactions":[],"lastModifiedDate":"2018-01-05T13:24:28","indexId":"70006214","displayToPublicDate":"2010-12-22T14:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-020","title":"Baseline survey for rare plant species and native plant communities within the Kamehameha Schools 'Lupea Safe Harbor Planning Project Area, North Kona District, Island of Hawai'i","docAbstract":"Kamehameha Schools, in conjunction with several federal, state, and private organizations, has proposed to conduct conservation management on approximately 5,340 ha (~13,200 acres) of land they own in the vicinity of Kīpukalupea in the North Kona District on the island of Hawai'i. The goal of this program is to restore and enhance the habitat to benefit native plant and animal populations that are currently, or were formerly, found in this site. The initial phase of this project has been focused on various activities including conducting baseline surveys for bird and plant species so Kamehameha Schools could develop a Safe Harbor Agreement (SHA) for the proposed project lands relative to the habitat management and species reintroduction efforts they would like to conduct in the Lupea Project area. This report summarizes methods that were used to collect field data on plant species and communities within the project area, and the results of that initial survey. The information was used to calculate baseline values for all listed threatened or endangered plant species found, or expected to be found, within the project area, and to design a monitoring program to assess changes in plant communities and rare plant species relative to management activities over the duration of the SHA.
\nThe Lupea Project area contains excellent examples of several high elevation native plant communities including montane dry forest and woodland, native subalpine shrubland, and native grassland. Between November 2003 and January 2004 we sampled plant communities and species along seven transects established through the project area. A total of 109 plant species were found during this survey, within the transect grid and in nearby areas. Forty-four of these plants are endemic species, 21 are indigenous species, 43 are introduced, and one species is believed to have been introduced to Hawai„i by early Polynesian settlers. Only one federally listed Endangered plant, Asplenium peruvianum var. insulare, was found within the survey area. Additionally, we found one immature plant that may be Sicyos macrophyllus, a candidate species for listing. However, we were not able to make a definite determination of this species‟ identity since it did not have fruits or flowers. Finally, we documented four plant species within the survey area that have no official status designation but are considered to be rare and informally recognized as “species of concern” (SOC) as they appear to be declining in distribution and abundance statewide. These included Chamaesyce olowaluana, Eragrostis deflexa, Sisyrinchium acre, and Tetramolopium consanguineum. In addition to conducting field surveys, we performed a query on a spatial database developed by Dr. Jonathan Price of the University of Hawai„i at Hilo which models the potential range of all native Hawaiian plant species based on historic observations and a set of environmental parameters. The potential species list for the Lupea Project area includes 47 taxa that we did not find during our surveys, as well as three other listed species that were not modeled by Price, but known from historic records in adjacent habitats. Some of these species are extremely rare or, in some cases have been locally extirpated. However, most of the plants that were predicted but not found during our surveys are expected to be located with additional searching, or may potentially recolonize the area following the elimination of ungulates and initiation of other restoration efforts. Forty-four introduced plant species were found within the survey area, seven of which are considered to be highly invasive. These include the grasses Pennisetum clandestinum and Pennisetum setaceum, vines Delairea odorata and Passiflora tarminiana, herbs Senecio madagascariensis and Verbascum thapsus, and the shrub Rubus niveus.
\nNon-zero baseline values are proposed for the one listed plant species found within the Lupea Project area, one species that is a candidate for listing, and the four other rare species we found that may be considered for listing in the future. Additionally, a zero baseline is proposed for 23 other species that were predicted, but not found within the project area. These include 14 Endangered species, one Threatened species, two candidates for listing, and six species of concern. Subsequent monitoring of the site will be necessary to determine if the populations of these species have increased or decreased relative to their baseline values. It is presumed that the management activities Kamehameha Schools has proposed for this area, particularly removal of the ungulates and weed control, will provide a benefit to the habitat as a whole and allow for natural regeneration and maintenance of the all elements of the plant communities found there.
","language":"English","publisher":"University of Hawaii at Hilo","publisherLocation":"Hilo, HI","usgsCitation":"Jacobi, J., Warshauer, F., and Price, J., 2010, Baseline survey for rare plant species and native plant communities within the Kamehameha Schools 'Lupea Safe Harbor Planning Project Area, North Kona District, Island of Hawai'i: Technical Report HCSU-020, viii, 63 p.","productDescription":"viii, 63 p.","numberOfPages":"73","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025137","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":326151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a5b8b5e4b0ebae89b7885e","contributors":{"authors":[{"text":"Jacobi, James","contributorId":21073,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","affiliations":[],"preferred":false,"id":644870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warshauer, F. R.","contributorId":119206,"corporation":false,"usgs":true,"family":"Warshauer","given":"F. R.","affiliations":[],"preferred":false,"id":513535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Price, Jonathan","contributorId":118441,"corporation":false,"usgs":true,"family":"Price","given":"Jonathan","affiliations":[],"preferred":false,"id":513533,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":9000519,"text":"ofr20101006 - 2010 - Geophysical and sampling data from the inner continental shelf: Northern Cape Cod Bay, Massachusetts","interactions":[],"lastModifiedDate":"2017-11-10T18:26:01","indexId":"ofr20101006","displayToPublicDate":"2010-12-22T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1006","title":"Geophysical and sampling data from the inner continental shelf: Northern Cape Cod Bay, Massachusetts","docAbstract":"The U.S. Geological Survey (USGS) and the Massachusetts Office of Coastal Zone Management (CZM) have cooperated to map approximately 480 km2 of the inner continental shelf in northern Cape Cod Bay, MA. This report contains geophysical and sampling data collected by the USGS during five research cruises between 2006 and 2008. The geophysical data include (1) swath bathymetry from interferometric sonar, (2) acoustic backscatter from interferometric and sidescan sonars, and (3) subsurface stratigraphy and structure from seismic-reflection profilers. The seafloor sampling data include sediment samples, photographs, and video tracklines. These spatial data support research on the influence that sea-level change and sediment supply have on coastal evolution and help identify the type, distribution, and quality of subtidal marine habitats within the coastal zone of Massachusetts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101006","usgsCitation":"Andrews, B., Ackerman, S.D., Baldwin, W.E., and Barnhardt, W., 2010, Geophysical and sampling data from the inner continental shelf: Northern Cape Cod Bay, Massachusetts: U.S. Geological Survey Open-File Report 2010-1006, HTML Page and DVD/CD Rom; PDF: iv, 7 p.; Figures; Appendices, https://doi.org/10.3133/ofr20101006.","productDescription":"HTML Page and DVD/CD Rom; PDF: iv, 7 p.; Figures; Appendices","numberOfPages":"19","additionalOnlineFiles":"Y","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126007,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1006.bmp"},{"id":19180,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1006/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-70.1341037750243, 41.95104789733888], [-70.4096186705684, 41.95154055278067], [-70.50489807128906, 41.929197311401474], [-70.59550666809083, 41.96906852722178], [-70.5973510870749, 41.97991037474872], [-70.5879332917579, 41.986537712194135], [-70.58897971345982, 41.998048350914765], [-70.63153419600297, 42.0399052189901], [-70.64330863952637, 42.06887245178229], [-70.59966278076172, 42.08695030212412], [-70.53343772888182, 42.093832015991325], [-70.27768516540526, 42.09016227722178], [-70.26380271816402, 42.08609683315666], [-70.22901064801272, 42.0373683146205], [-70.2007572620618, 42.0206255673903], [-70.15401709271117, 41.955049807405885], [-70.13692553824713, 41.956096229107686], [-70.13679885864252, 42.04490470886237], [-70.1330777347764, 41.954507150169185], [-70.1128253936767, 41.95272636413572], [-70.1341037750243, 41.95104789733888]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-70.64330863952637, 41.929197311401474, -70.1128253936767, 42.09390449523937], \"type\": \"Feature\", \"id\": \"3091914\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c1cd","contributors":{"authors":[{"text":"Andrews, Brian D.","contributorId":54180,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian D.","affiliations":[],"preferred":false,"id":344194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":344193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":344192,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhardt, Walter A.","contributorId":80656,"corporation":false,"usgs":true,"family":"Barnhardt","given":"Walter A.","affiliations":[],"preferred":false,"id":344195,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98967,"text":"ofr20101275 - 2010 - Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"ofr20101275","displayToPublicDate":"2010-12-22T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1275","title":"Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2009","docAbstract":"Streamflow and water-quality data were collected by the U.S. Geological Survey (USGS) or the Providence Water Supply Board (PWSB), Rhode Island's largest drinking-water supplier. Streamflow was measured or estimated by the USGS following standard methods at 23 streamgage stations; 13 of these stations were also equipped with instrumentation capable of continuously monitoring specific conductance and water temperature. Streamflow and concentrations of sodium and chloride estimated from records of specific conductance were used to calculate loads of sodium and chloride during water year (WY) 2009 (October 1, 2008, to September 30, 2009). Water-quality samples also were collected at 37 sampling stations by the PWSB and at 14 monitoring stations by the USGS during WY 2009 as part of a long-term sampling program; all stations are in the Scituate Reservoir drainage area. Water-quality data collected by PWSB are summarized by using values of central tendency and are used, in combination with measured (or estimated) streamflows, to calculate loads and yields (loads per unit area) of selected water-quality constituents for WY 2009.\r\n\r\nThe largest tributary to the reservoir (the Ponaganset River, which was monitored by the USGS) contributed a mean streamflow of about 27 cubic feet per second (ft3/s) to the reservoir during WY 2009. For the same time period, annual mean1 streamflows measured (or estimated) for the other monitoring stations in this study ranged from about 0.50 to 17 ft3/s. Together, tributary streams (equipped with instrumentation capable of continuously monitoring specific conductance) transported about 1,400,000 kilograms (kg) of sodium and 2,200,000 kg of chloride to the Scituate Reservoir during WY 2009; sodium and chloride yields for the tributaries ranged from 10,000 to 64,000 kilograms per square mile (kg/mi2) and from 15,000 to 110,000 kg/mi2, respectively.\r\n\r\nAt the stations where water-quality samples were collected by the PWSB, the median of the median chloride concentrations was 21.7 milligrams per liter (mg/L), median nitrite concentration was 0.001 mg/L as N, median nitrate concentration was 0.02 mg/L as N, median orthophosphate concentration was 0.09 mg/L as P, and median concentrations of total coliform and Escherichia coli (E. coli) bacteria were 61 and 16 colony forming units per 100 milliliters (CFU/100 mL), respectively. The medians of the median daily loads (and yields) of chloride, nitrite, nitrate, orthophosphate, and total coliform and E. coli bacteria were 190 kg/d (61 kg/d/mi2), 12 g/d (4.5 g/d/mi2), 93 g/d (32 g/d/mi2), 420 g/d (290 g/d/mi2), 6,200 million colony forming units per day (CFU?106/d) (2,600 CFU?106/d/mi2), and 1,100 CFU?106/d (340 CFU?106/d/mi2), respectively.\r\n\r\n 1The arithmetic mean of the individual daily mean discharges for the year noted or for the designated period. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101275","collaboration":"Prepared in cooperation with the Providence Water Supply Board \r\n","usgsCitation":"Breault, R., and Smith, K.P., 2010, Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2009: U.S. Geological Survey Open-File Report 2010-1275, iv, 24 p. , https://doi.org/10.3133/ofr20101275.","productDescription":"iv, 24 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-10-01","temporalEnd":"2009-09-30","costCenters":[{"id":544,"text":"Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":116277,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1275.bmp"},{"id":14398,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1275/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.83333333333333,41.666666666666664 ], [ -71.83333333333333,41.916666666666664 ], [ -71.5,41.916666666666664 ], [ -71.5,41.666666666666664 ], [ -71.83333333333333,41.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4bd0","contributors":{"authors":[{"text":"Breault, Robert F. 0000-0002-2517-407X rbreault@usgs.gov","orcid":"https://orcid.org/0000-0002-2517-407X","contributorId":2219,"corporation":false,"usgs":true,"family":"Breault","given":"Robert F.","email":"rbreault@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Kirk P. 0000-0003-0269-474X kpsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":1516,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","email":"kpsmith@usgs.gov","middleInitial":"P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307103,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98966,"text":"ofr20101247 - 2010 - Internet-based interface for STRMDEPL08","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"ofr20101247","displayToPublicDate":"2010-12-22T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1247","title":"Internet-based interface for STRMDEPL08","docAbstract":"The core of the computer program STRMDEPL08 that estimates streamflow depletion by a pumping well with one of four analytical solutions was re-written in the Javascript software language and made available through an internet-based interface (web page). In the internet-based interface, the user enters data for one of the four analytical solutions, Glover and Balmer (1954), Hantush (1965), Hunt (1999), and Hunt (2003), and the solution is run for constant pumping for a desired number of simulation days. Results are returned in tabular form to the user. For intermittent pumping, the interface allows the user to request that the header information for an input file for the stand-alone executable STRMDEPL08 be created. The user would add the pumping information to this header information and run the STRMDEPL08 executable that is available for download through the U.S. Geological Survey. Results for the internet-based and stand-alone versions of STRMDEPL08 are shown to match.\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101247","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency\r\n","usgsCitation":"Reeves, H.W., and Asher, A., 2010, Internet-based interface for STRMDEPL08: U.S. Geological Survey Open-File Report 2010-1247, iv, 7 p.; Appendix, https://doi.org/10.3133/ofr20101247.","productDescription":"iv, 7 p.; Appendix","additionalOnlineFiles":"N","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":126151,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1247.gif"},{"id":14397,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1247/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dbe4b07f02db5e0799","contributors":{"authors":[{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asher, A. Jeremiah","contributorId":34098,"corporation":false,"usgs":true,"family":"Asher","given":"A. Jeremiah","affiliations":[],"preferred":false,"id":307102,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98965,"text":"ofr20101273 - 2010 - Vegetation and substrate on aeolian landscapes in the Colorado River corridor, Cataract Canyon, Utah","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ofr20101273","displayToPublicDate":"2010-12-22T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1273","title":"Vegetation and substrate on aeolian landscapes in the Colorado River corridor, Cataract Canyon, Utah","docAbstract":"Vegetation and substrate data presented in this report characterize ground cover on aeolian landscapes of the Colorado River corridor through Cataract Canyon, Utah, in Canyonlands National Park. The 27-km-long Cataract Canyon reach has undergone less anthropogenic alteration than other reaches of the mainstem Colorado River. Characterizing ecosystem parameters there provides a basis against which to evaluate future changes, such as those that could result from the further spread of nonnative plant species or increased visitor use. Upstream dams have less effect on the hydrology and sediment supply in Cataract Canyon compared with downstream reaches in Grand Canyon National Park. For this reason, comparison of these vegetation and substrate measurements with similar data from aeolian landscapes of Grand Canyon will help to resolve the effects of Glen Canyon Dam operations on the Colorado River corridor ecosystem. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101273","usgsCitation":"Draut, A.E., and Gillette, E.R., 2010, Vegetation and substrate on aeolian landscapes in the Colorado River corridor, Cataract Canyon, Utah: U.S. Geological Survey Open-File Report 2010-1273, iv, 21 p.; Tables; Downloads: Spreadsheet of Tables 1-14, https://doi.org/10.3133/ofr20101273.","productDescription":"iv, 21 p.; Tables; Downloads: Spreadsheet of Tables 1-14","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126152,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1273.gif"},{"id":14396,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1273/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.16666666666667,37.833333333333336 ], [ -110.16666666666667,38.25 ], [ -109.83333333333333,38.25 ], [ -109.83333333333333,37.833333333333336 ], [ -110.16666666666667,37.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602678","contributors":{"authors":[{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":307100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gillette, Elizabeth R.","contributorId":71519,"corporation":false,"usgs":true,"family":"Gillette","given":"Elizabeth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":307099,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98964,"text":"ofr20101283 - 2010 - Development of monitoring protocols to detect change in rocky intertidal communities of Glacier Bay National Park and Preserve","interactions":[],"lastModifiedDate":"2012-02-02T00:04:46","indexId":"ofr20101283","displayToPublicDate":"2010-12-22T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1283","title":"Development of monitoring protocols to detect change in rocky intertidal communities of Glacier Bay National Park and Preserve","docAbstract":"Glacier Bay National Park and Preserve in southeastern Alaska includes extensive coastlines representing a major proportion of all coastlines held by the National Park Service. The marine plants and invertebrates that occupy intertidal shores form highly productive communities that are ecologically important to a number of vertebrate and invertebrate consumers and that are vulnerable to human disturbances. To better understand these communities and their sensitivity, it is important to obtain information on species abundances over space and time. During field studies from 1997 to 2001, I investigated probability-based rocky intertidal monitoring designs that allow inference of results to similar habitat within the bay and that reduce bias. Aerial surveys of a subset of intertidal habitat indicated that the original target habitat of bedrock-dominated sites with slope less than or equal to 30 degrees was rare. This finding illustrated the value of probability-based surveys and led to a shift in the target habitat type to more mixed rocky habitat with steeper slopes. Subsequently, I investigated different sampling methods and strategies for their relative power to detect changes in the abundances of the predominant sessile intertidal taxa: barnacles -Balanomorpha, the mussel Mytilus trossulus and the rockweed Fucus distichus subsp. evanescens. I found that lower-intensity sampling of 25 randomly selected sites (= coarse-grained sampling) provided a greater ability to detect changes in the abundances of these taxa than did more intensive sampling of 6 sites (= fine-grained sampling). Because of its greater power, the coarse-grained sampling scheme was adopted in subsequent years. This report provides detailed analyses of the 4 years of data and evaluates the relative effect of different sampling attributes and management-set parameters on the ability of the sampling to detect changes in the abundances of these taxa. The intent was to provide managers with information to guide design choices for intertidal monitoring. I found that the coarse-grained surveys, as conducted from 1998 to 2001, had power ranging from 0.68 to 1.0 to detect 10 percent annual changes in the abundances of these predominant sessile species. The information gained through intertidal monitoring would be useful in assessing changes due to climate (including ocean acidification), invasive species, trampling effects, and oil spills.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101283","collaboration":"Prepared in cooperation with the National Park Service\r\n","usgsCitation":"Irvine, G.V., 2010, Development of monitoring protocols to detect change in rocky intertidal communities of Glacier Bay National Park and Preserve: U.S. Geological Survey Open-File Report 2010-1283, vi, 29 p.; Figures; Tables; Appendices; Downloads: Report Body; Appendix A; Appendix B; Appendix C; Appendix D; Appendix E, https://doi.org/10.3133/ofr20101283.","productDescription":"vi, 29 p.; Figures; Tables; Appendices; Downloads: Report Body; Appendix A; Appendix B; Appendix C; Appendix D; Appendix E","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":126153,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1283.jpg"},{"id":14395,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1283/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65de70","contributors":{"authors":[{"text":"Irvine, Gail V. girvine@usgs.gov","contributorId":2368,"corporation":false,"usgs":true,"family":"Irvine","given":"Gail","email":"girvine@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":307098,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98963,"text":"sir20105217 - 2010 - Methods for estimating selected low-flow frequency statistics for unregulated streams in Kentucky","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105217","displayToPublicDate":"2010-12-21T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5217","title":"Methods for estimating selected low-flow frequency statistics for unregulated streams in Kentucky","docAbstract":"This report provides estimates of, and presents methods for estimating, selected low-flow frequency statistics for unregulated streams in Kentucky including the 30-day mean low flows for recurrence intervals of 2 and 5 years (30Q2 and 30Q5) and the 7-day mean low flows for recurrence intervals of 5, 10, and 20 years (7Q2, 7Q10, and 7Q20). Estimates of these statistics are provided for 121 U.S. Geological Survey streamflow-gaging stations with data through the 2006 climate year, which is the 12-month period ending March 31 of each year. Data were screened to identify the periods of homogeneous, unregulated flows for use in the analyses.\r\nLogistic-regression equations are presented for estimating the annual probability of the selected low-flow frequency statistics being equal to zero. Weighted-least-squares regression equations were developed for estimating the magnitude of the nonzero 30Q2, 30Q5, 7Q2, 7Q10, and 7Q20 low flows. Three low-flow regions were defined for estimating the 7-day low-flow frequency statistics.\r\nThe explicit explanatory variables in the regression equations include total drainage area and the mapped streamflow-variability index measured from a revised statewide coverage of this characteristic. The percentage of the station low-flow statistics correctly classified as zero or nonzero by use of the logistic-regression equations ranged from 87.5 to 93.8 percent. The average standard errors of prediction of the weighted-least-squares regression equations ranged from 108 to 226 percent. The 30Q2 regression equations have the smallest standard errors of prediction, and the 7Q20 regression equations have the largest standard errors of prediction.\r\nThe regression equations are applicable only to stream sites with low flows unaffected by regulation from reservoirs and local diversions of flow and to drainage basins in specified ranges of basin characteristics. Caution is advised when applying the equations for basins with characteristics near the applicable limits and for basins with karst drainage features.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105217","collaboration":"Prepared in cooperation with the Kentucky Energy and Environment Cabinet, Division of Water","usgsCitation":"Martin, G.R., and Arihood, L.D., 2010, Methods for estimating selected low-flow frequency statistics for unregulated streams in Kentucky: U.S. Geological Survey Scientific Investigations Report 2010-5217, vi. 55 p.; Appendices; 2 plates (30 x 22 inches), https://doi.org/10.3133/sir20105217.","productDescription":"vi. 55 p.; Appendices; 2 plates (30 x 22 inches)","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":126737,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5217.jpg"},{"id":14394,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5217/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a52e4b07f02db62a4b9","contributors":{"authors":[{"text":"Martin, Gary R. 0000-0002-3274-5846 grmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-3274-5846","contributorId":3413,"corporation":false,"usgs":true,"family":"Martin","given":"Gary","email":"grmartin@usgs.gov","middleInitial":"R.","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arihood, Leslie D. 0000-0001-5792-3699 larihood@usgs.gov","orcid":"https://orcid.org/0000-0001-5792-3699","contributorId":2357,"corporation":false,"usgs":true,"family":"Arihood","given":"Leslie","email":"larihood@usgs.gov","middleInitial":"D.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307096,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":9000518,"text":"ofr20101324 - 2010 - Great Basin Integrated Landscape Monitoring Pilot Summary Report","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ofr20101324","displayToPublicDate":"2010-12-21T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1324","title":"Great Basin Integrated Landscape Monitoring Pilot Summary Report","docAbstract":"The Great Basin Integrated Landscape Monitoring Pilot project (GBILM) was one of four regional pilots to implement the U.S. Geological Survey (USGS) Science Thrust on Integrated Landscape Monitoring (ILM) whose goal was to observe, understand, and predict landscape change and its implications on natural resources at multiple spatial and temporal scales and address priority natural resource management and policy issues. The Great Basin is undergoing rapid environmental change stemming from interactions among global climate trends, increasing human populations, expanding and accelerating land and water uses, invasive species, and altered fire regimes. GBLIM tested concepts and developed tools to store and analyze monitoring data, understand change at multiple scales, and forecast landscape change. The GBILM endeavored to develop and test a landscape-level monitoring approach in the Great Basin that integrates USGS disciplines, addresses priority management questions, catalogs and uses existing monitoring data, evaluates change at multiple scales, and contributes to development of regional monitoring strategies. GBILM functioned as an integrative team from 2005 to 2010, producing more than 35 science and data management products that addressed pressing ecosystem drivers and resource management agency needs in the region. This report summarizes the approaches and methods of this interdisciplinary effort, identifies and describes the products generated, and provides lessons learned during the project.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101324","usgsCitation":"Finn, S.P., Kitchell, K., Baer, L.A., Bedford, D.R., Brooks, M.L., Flint, A.L., Flint, L.E., Matchett, J., Mathie, A., Miller, D., Pilliod, D., Torregrosa, A.A., and Woodward, A., 2010, Great Basin Integrated Landscape Monitoring Pilot Summary Report: U.S. Geological Survey Open-File Report 2010-1324, iv, 21 p.; Tables; Figures; Appendices, https://doi.org/10.3133/ofr20101324.","productDescription":"iv, 21 p.; Tables; Figures; Appendices","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":203749,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":19179,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1324/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122,34 ], [ -122,44 ], [ -112,44 ], [ -112,34 ], [ -122,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e9a8","contributors":{"authors":[{"text":"Finn, Sean P.","contributorId":106623,"corporation":false,"usgs":true,"family":"Finn","given":"Sean","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":344191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kitchell, Kate","contributorId":69694,"corporation":false,"usgs":true,"family":"Kitchell","given":"Kate","email":"","affiliations":[],"preferred":false,"id":344190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baer, Lori Anne 0000-0003-1908-979X labaer@usgs.gov","orcid":"https://orcid.org/0000-0003-1908-979X","contributorId":4429,"corporation":false,"usgs":true,"family":"Baer","given":"Lori","email":"labaer@usgs.gov","middleInitial":"Anne","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":344188,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bedford, David R. dbedford@usgs.gov","contributorId":3852,"corporation":false,"usgs":true,"family":"Bedford","given":"David","email":"dbedford@usgs.gov","middleInitial":"R.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":344187,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":344180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344182,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344181,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Matchett, J.R.","contributorId":11535,"corporation":false,"usgs":true,"family":"Matchett","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":344189,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mathie, Amy amathie@usgs.gov","contributorId":2542,"corporation":false,"usgs":true,"family":"Mathie","given":"Amy","email":"amathie@usgs.gov","affiliations":[],"preferred":true,"id":344184,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":344183,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":161,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","email":"dpilliod@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":344179,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":344186,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":344185,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":98960,"text":"ds549 - 2010 - Digital topographic map showing the extents of glacial ice and perennial snowfields at Mount Rainier, Washington, based on the LiDAR survey of September 2007 to October 2008","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ds549","displayToPublicDate":"2010-12-18T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"549","title":"Digital topographic map showing the extents of glacial ice and perennial snowfields at Mount Rainier, Washington, based on the LiDAR survey of September 2007 to October 2008","docAbstract":"In response to severe flooding in November 2006, the National Park Service contracted for a high-resolution aerial Light Detection and Ranging (LiDAR) topographic survey of Mount Rainier National Park, Washington. Due to inclement weather, this survey was performed in two stages: early September 2007 and September-October 2008. The total surveyed area of 241,585 acres includes an approximately 100-m-wide buffer zone around the Park to ensure complete coverage and adequate point densities at survey edges. Final results averaged 5.73 laser first return points/m2 over forested and high-elevation terrain, with a vertical accuracy of 3.7 cm on bare road surfaces and mean relative accuracy of 11 cm, based on comparisons between flightlines. Bare-earth topography, as developed by the contractor, is included in this release.\r\n\r\n A map of the 2007-2008 limits of glaciers and perennial snowfields was developed by digitizing 1:2,000 to 1:5,000 slope and shaded-relief images derived from the LiDAR topography. Edges of snow and exposed ice are readily seen in such images as sharp changes in surface roughness and slope. Ice mantled by moraine can be distinguished by the moraine's distinctly high roughness due to ice motion and melting, local exposures of smooth ice, and commonly by the presence of crevasses and shear boundaries. A map of the 1970 limits of ice and perennial snow was also developed by digitizing the snow and ice perimeters as depicted on the hydrologic separates used to produce the 1:24,000 topographic maps of the Mount Rainier region. These maps, produced in 1971, were derived from September 1970 aerial photographs. Boundaries between adjacent glacier systems were estimated and mapped from drainage divides, including partly emergent rock ridges, lines of diverging slope, and medial moraines.\r\n\r\n This data release contains the bare-earth LiDAR data as an ESRI grid file (DS549-Rainier_LiDAR.zip), the glacial limits derived from the USGS 1970 aerial photographs of the Mount Rainier vicinity as a shapefile, and the glacial limits derived from the 2007 to 2008 LiDAR survey as a shapefile (both shapefiles contained in DS549-Glacial_Limits.zip). These geospatial data files require GIS software for viewing. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds549","usgsCitation":"Robinson, J., Sisson, T.W., and Swinney, D.D., 2010, Digital topographic map showing the extents of glacial ice and perennial snowfields at Mount Rainier, Washington, based on the LiDAR survey of September 2007 to October 2008: U.S. Geological Survey Data Series 549, Map; Metadata Files, https://doi.org/10.3133/ds549.","productDescription":"Map; Metadata Files","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2007-09-01","temporalEnd":"2008-10-31","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":126166,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_549.jpg"},{"id":14388,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/549/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.86777777777777,46.733333333333334 ], [ -121.86777777777777,46.95027777777778 ], [ -121.56666666666666,46.95027777777778 ], [ -121.56666666666666,46.733333333333334 ], [ -121.86777777777777,46.733333333333334 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64af1e","contributors":{"authors":[{"text":"Robinson, Joel E. 0000-0002-5193-3666 jrobins@usgs.gov","orcid":"https://orcid.org/0000-0002-5193-3666","contributorId":2757,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel E.","email":"jrobins@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":307087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sisson, Thomas W. 0000-0003-3380-6425 tsisson@usgs.gov","orcid":"https://orcid.org/0000-0003-3380-6425","contributorId":2341,"corporation":false,"usgs":true,"family":"Sisson","given":"Thomas","email":"tsisson@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":307086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swinney, Darin D.","contributorId":90685,"corporation":false,"usgs":true,"family":"Swinney","given":"Darin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":307088,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98961,"text":"ds548 - 2010 - Groundwater quality of the Gulf Coast aquifer system, Houston, Texas, 2007-08","interactions":[],"lastModifiedDate":"2016-08-11T16:15:08","indexId":"ds548","displayToPublicDate":"2010-12-18T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"548","title":"Groundwater quality of the Gulf Coast aquifer system, Houston, Texas, 2007-08","docAbstract":"In the summers of 2007 and 2008, the U.S. Geological Survey (USGS), in cooperation with the City of Houston, Texas, completed an initial reconnaissance-level survey of naturally occurring contaminants (arsenic, other selected trace elements, and radionuclides) in water from municipal supply wells in the Houston area. The purpose of this reconnaissance-level survey was to characterize source-water quality prior to drinking water treatment. Water-quality samples were collected from 28 municipal supply wells in the Houston area completed in the Evangeline aquifer, Chicot aquifer, or both. This initial survey is part of ongoing research to determine concentrations, spatial extent, and associated geochemical conditions that might be conducive for mobility and transport of these constituents in the Gulf Coast aquifer system in the Houston area. Samples were analyzed for major ions (calcium, magnesium, potassium, sodium, bromide, chloride, fluoride, silica, and sulfate), selected chemically related properties (residue on evaporation [dissolved solids] and chemical oxygen demand), dissolved organic carbon, arsenic species (arsenate [As(V)], arsenite [As(III)], dimethylarsinate [DMA], and monomethylarsonate [MMA]), other trace elements (aluminum, antimony, arsenic, barium, beryllium, boron, cadmium, chromium, cobalt, copper, iron, lead, lithium, manganese, molybdenum, nickel, selenium, silver, strontium, thallium, vanadium, and zinc), and selected radionuclides (gross alpha- and beta-particle activity [at 72 hours and 30 days], carbon-14, radium isotopes [radium-226 and radium-228], radon-222, tritium, and uranium). Field measurements were made of selected physicochemical (relating to both physical and chemical) properties (oxidation-reduction potential, turbidity, dissolved oxygen concentration, pH, specific conductance, water temperature, and alkalinity) and unfiltered sulfides. Dissolved organic carbon and chemical oxygen demand are presented but not discussed in the report. Physicochemical properties, major ions, and trace elements varied considerably. The pH ranged from 7.2 to 8.1 (median 7.6); specific conductance ranged from 314 to 856 microsiemens per centimeter at 25 degrees Celsius, with a median of 517 microsiemens per centimeter; and alkalinity ranged from 126 to 324 milligrams per liter as calcium carbonate (median 167 milligrams per liter). The range in oxidation-reduction potential was large, from -212 to 244 millivolts, with a median of -84.6 millivolts. The largest ranges in concentration for filtered major ion constituents were obtained for cations sodium and calcium and for anions chloride and bicarbonate (bicarbonate was calculated from the measured alkalinity). Filtered arsenic was detected in all 28 samples, ranging from 0.58 to 15.3 micrograms per liter (median 2.5 micrograms per liter), and exceeded the maximum contaminant level established by the U.S. Environmental Protection Agency of 10 micrograms per liter in 2 of the 28 samples. As(III) was the most frequently detected arsenic specie. As(III) concentrations ranged from less than 0.6 to 14.9 micrograms arsenic per liter. The range in concentrations for the arsenic species As(V) was from less than 0.8 to 3.3 micrograms arsenic per liter. Barium, boron, lithium, and strontium were detected in quantifiable (equal to or greater than the laboratory reporting level) concentrations in all samples and molybdenum in all but one sample. Filtered iron, manganese, nickel, and vanadium were each detected in at least 18 of the 28 samples. All other selected trace elements were each detected in 16 or fewer samples. Radionuclides were detected in most samples. The gross alpha-particle activities at 30 days and 72 hours ranged from R-0.94 to 15.5 and R-1.1 to 17.2 picocuries per liter, respectively ('R' indicates nondetected result less than the sample-specific critical level). The combined radium (radium-226 plus radium-228) concentrations ranged from an estimat
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/ds548","collaboration":"Prepared in cooperation with the City of Houston","usgsCitation":"Oden, J.H., Oden, T., and Szabo, Z., 2010, Groundwater quality of the Gulf Coast aquifer system, Houston, Texas, 2007-08: U.S. Geological Survey Data Series 548, v, 65 p., https://doi.org/10.3133/ds548.","productDescription":"v, 65 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-06-20","temporalEnd":"2008-09-23","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":126167,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_548.png"},{"id":14391,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/548/","linkFileType":{"id":5,"text":"html"}}],"scale":"2000000","projection":"Universal Transverse Mercator Projection","country":"United States","state":"Texas","otherGeospatial":"Houston area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.61666666666666,29.666666666666668 ], [ -95.61666666666666,30.116666666666667 ], [ -95.16666666666667,30.116666666666667 ], [ -95.16666666666667,29.666666666666668 ], [ -95.61666666666666,29.666666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a94e4b07f02db658e61","contributors":{"authors":[{"text":"Oden, Jeannette H. 0000-0002-6473-1553 jhoden@usgs.gov","orcid":"https://orcid.org/0000-0002-6473-1553","contributorId":1152,"corporation":false,"usgs":true,"family":"Oden","given":"Jeannette","email":"jhoden@usgs.gov","middleInitial":"H.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oden, Timothy D. toden@usgs.gov","contributorId":1284,"corporation":false,"usgs":true,"family":"Oden","given":"Timothy D.","email":"toden@usgs.gov","affiliations":[],"preferred":true,"id":307090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":2240,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":307091,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98938,"text":"pp17699 - 2010 - Timing, distribution, and character of tephra fall from the 2005-2006 eruption of Augustine Volcano: Chaper 9 in The 2006 eruption of Augustine Volcano","interactions":[{"subject":{"id":98938,"text":"pp17699 - 2010 - Timing, distribution, and character of tephra fall from the 2005-2006 eruption of Augustine Volcano: Chaper 9 in The 2006 eruption of Augustine Volcano","indexId":"pp17699","publicationYear":"2010","noYear":false,"chapter":"9","title":"Timing, distribution, and character of tephra fall from the 2005-2006 eruption of Augustine Volcano: Chaper 9 in The 2006 eruption of Augustine Volcano"},"predicate":"IS_PART_OF","object":{"id":98929,"text":"pp1769 - 2010 - The 2006 eruption of Augustine Volcano, Alaska","indexId":"pp1769","publicationYear":"2010","noYear":false,"title":"The 2006 eruption of Augustine Volcano, Alaska"},"id":1}],"isPartOf":{"id":98929,"text":"pp1769 - 2010 - The 2006 eruption of Augustine Volcano, Alaska","indexId":"pp1769","publicationYear":"2010","noYear":false,"title":"The 2006 eruption of Augustine Volcano, Alaska"},"lastModifiedDate":"2016-08-29T14:23:42","indexId":"pp17699","displayToPublicDate":"2010-12-16T00:00:00","publicationYear":"2010","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":"1769","chapter":"9","title":"Timing, distribution, and character of tephra fall from the 2005-2006 eruption of Augustine Volcano: Chaper 9 in The 2006 eruption of Augustine Volcano","docAbstract":"The 2005–6 eruption of Augustine Volcano produced tephra-fall deposits during each of four eruptive phases. Late in the precursory phase (December 2005), small phreatic explosions produced small-volume, localized, mostly nonjuvenile tephra. The greatest volume of tephra was produced during the explosive phase (January 11–28, 2006) when 13 discrete Vulcanian explosions generated ash plumes between 4 and 14 km above mean sea level (asl). A succession of juvenile tephra with compositions from low-silica to high-silica andesite is consistent with the eruption of two distinct magmas, represented also by a low-silica andesite lava dome (January 13–16) followed by a high-silica andesite lave dome (January 17–27). On-island deposits of lapilli to coarse ash originated from discrete vent explosions, whereas fine-grained, massive deposits were elutriated from pyroclastic flows and rock falls. During the continuous phase (January 28–February 10, 2006), steady growth and subsequent collapses of a high-silica andesite lava dome caused continuous low-level ash emissions and resulting fine elutriate ash deposits. The emplacement of a summit lava dome and lava flows of low-silica andesite during the effusive phase (March 3–16, 2006) resulted in localized, fine-grained elutriated ash deposits from small block-and-ash flows off the steep-sided lava flows.
\nMixing of two end-member magmas (low-silica and highsilica andesite) is evidenced by the overall similarities between tephra-fall and contemporaneous lava-dome and flow lithologies and by the chemical heterogeneity of matrix glass compositions of coarse lapilli and glass shards in the ash-size fraction throughout the 2005–6 eruption. A total mass of 2.2×1010 kg of tephra fell (bulk volume of 2.2×107 m3 and DRE volume of 8.5×106 m3) during the explosive phase, as calculated by extrapolation of mass data from a single Vulcanian blast on January 17. Total tephra-fall volume for the 2005–6 eruption is about an order of magnitude smaller than other historical eruptions from Augustine Volcano. Ash plumes of short duration and small volume caused no more than minor amounts (≤1 mm) of ash to fall on villages and towns in the lower Cook Inlet region, and thus little hazard was posed to local communities. The bulk of the ash fell into Cook Inlet. Monitoring by the Alaska Volcano Observatory during the eruption helped to prevent hazardous encounters of ash and aircraft.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The 2006 eruption of Augustine Volcano","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp17699","usgsCitation":"Wallace, K., Neal, C., and McGimsey, R.G., 2010, Timing, distribution, and character of tephra fall from the 2005-2006 eruption of Augustine Volcano: Chaper 9 in The 2006 eruption of Augustine Volcano: U.S. Geological Survey Professional Paper 1769, Report: 31 p.; Appendix 2, https://doi.org/10.3133/pp17699.","productDescription":"Report: 31 p.; Appendix 2","startPage":"187","endPage":"217","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"links":[{"id":126044,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1769_9.gif"},{"id":14362,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1769/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.51470947265625,\n 59.412945785071\n ],\n [\n -153.47625732421875,\n 59.41993301322722\n ],\n [\n -153.446044921875,\n 59.428315784042574\n ],\n [\n -153.39385986328125,\n 59.428315784042574\n ],\n [\n -153.36090087890622,\n 59.41574084934491\n ],\n [\n -153.34442138671875,\n 59.39477224351409\n ],\n [\n -153.31695556640625,\n 59.37658895163648\n ],\n [\n -153.32794189453125,\n 59.33599107056162\n ],\n [\n -153.37188720703125,\n 59.32338185310805\n ],\n [\n -153.446044921875,\n 59.31777625443006\n ],\n [\n -153.5394287109375,\n 59.31076795603884\n ],\n [\n -153.577880859375,\n 59.32618430580267\n ],\n [\n -153.577880859375,\n 59.35139598294652\n ],\n [\n -153.60260009765625,\n 59.379387015928536\n ],\n [\n -153.59161376953125,\n 59.404559208021745\n ],\n [\n -153.55865478515625,\n 59.410150490100754\n ],\n [\n -153.51470947265625,\n 59.412945785071\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b52e","contributors":{"editors":[{"text":"Power, John A. 0000-0002-7233-4398 jpower@usgs.gov","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":2768,"corporation":false,"usgs":true,"family":"Power","given":"John","email":"jpower@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":647363,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":647364,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Freymueller, Jeffrey T.","contributorId":97458,"corporation":false,"usgs":true,"family":"Freymueller","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":647365,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Wallace, Kristi L.","contributorId":20054,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi L.","affiliations":[],"preferred":false,"id":306996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neal, Christina A. 0000-0002-7697-7825","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":82660,"corporation":false,"usgs":true,"family":"Neal","given":"Christina A.","affiliations":[],"preferred":false,"id":306997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGimsey, Robert G. 0000-0001-5379-7779 mcgimsey@usgs.gov","orcid":"https://orcid.org/0000-0001-5379-7779","contributorId":2352,"corporation":false,"usgs":true,"family":"McGimsey","given":"Robert","email":"mcgimsey@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":306995,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}