{"pageNumber":"569","pageRowStart":"14200","pageSize":"25","recordCount":46856,"records":[{"id":70047076,"text":"70047076 - 2013 - A record of large earthquakes during the past two millennia on the southern Green Valley Fault, California","interactions":[],"lastModifiedDate":"2013-09-06T09:56:59","indexId":"70047076","displayToPublicDate":"2013-09-06T09:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"A record of large earthquakes during the past two millennia on the southern Green Valley Fault, California","docAbstract":"We document evidence for surface-rupturing earthquakes (events) at two trench sites on the southern Green Valley fault, California (SGVF). The 75-80-km long dextral SGVF creeps ~1-4 mm/yr. We identify stratigraphic horizons disrupted by upward-flowering shears and in-filled fissures unlikely to have formed from creep alone. The Mason Rd site exhibits four events from ~1013 CE to the Present. The Lopes Ranch site (LR, 12 km to the south) exhibits three events from 18 BCE to Present including the most recent event (MRE), 1610 ±52 yr CE (1σ) and a two-event interval (18 BCE-238 CE) isolated by a millennium of low deposition. Using Oxcal to model the timing of the 4-event earthquake sequence from radiocarbon data and the LR MRE yields a mean recurrence interval (RI or μ) of 199 ±82 yr (1σ) and ±35 yr (standard error of the mean), the first based on geologic data. The time since the most recent earthquake (open window since MRE) is 402 yr ±52 yr, well past μ~200 yr.  The shape of the probability density function (pdf) of the average RI from Oxcal resembles a Brownian Passage Time (BPT) pdf (i.e., rather than normal) that permits rarer longer ruptures potentially involving the Berryessa and Hunting Creek sections of the northernmost GVF. The model coefficient of variation (cv, σ/μ) is 0.41, but a larger value (cv ~0.6) fits better when using BPT. A BPT pdf with μ of 250 yr and cv of 0.6 yields 30-yr rupture probabilities of 20-25% versus a Poisson probability of 11-17%.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120120198","usgsCitation":"Lienkaemper, J.J., Baldwin, J.N., Turner, R., Sickler, R.R., and Brown, J., 2013, A record of large earthquakes during the past two millennia on the southern Green Valley Fault, California: Bulletin of the Seismological Society of America, v. 103, no. 4, p. 2386-2403, https://doi.org/10.1785/0120120198.","productDescription":"18 p.","startPage":"2386","endPage":"2403","numberOfPages":"18","ipdsId":"IP-034201","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":277360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275085,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120120198"}],"country":"United States","state":"California","otherGeospatial":"Green Valley Fault","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.0,37.0 ], [ -123.0,39.0 ], [ -121.7,39.0 ], [ -121.7,37.0 ], [ -123.0,37.0 ] ] ] } } ] }","volume":"103","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-07-31","publicationStatus":"PW","scienceBaseUri":"522aeb62e4b08fd0132e7915","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":481003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, John N.","contributorId":58551,"corporation":false,"usgs":true,"family":"Baldwin","given":"John","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":481007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Robert","contributorId":56244,"corporation":false,"usgs":true,"family":"Turner","given":"Robert","affiliations":[],"preferred":false,"id":481006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sickler, Robert R. 0000-0002-9141-625X rsickler@usgs.gov","orcid":"https://orcid.org/0000-0002-9141-625X","contributorId":3235,"corporation":false,"usgs":true,"family":"Sickler","given":"Robert","email":"rsickler@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":481004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Johnathan","contributorId":56082,"corporation":false,"usgs":true,"family":"Brown","given":"Johnathan","email":"","affiliations":[],"preferred":false,"id":481005,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048015,"text":"70048015 - 2013 - Evaluation of internal loading and water level changes: implications for phosphorus, algal production, and nuisance blooms in Kabetogama Lake, Voyageurs National Park, Minnesota","interactions":[],"lastModifiedDate":"2013-09-06T09:19:16","indexId":"70048015","displayToPublicDate":"2013-09-06T09:14:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of internal loading and water level changes: implications for phosphorus, algal production, and nuisance blooms in Kabetogama Lake, Voyageurs National Park, Minnesota","docAbstract":"Hydrologic manipulations have the potential to exacerbate or remediate eutrophication in productive reservoirs. Dam operations at Kabetogama Lake, Minnesota, were modified in 2000 to restore a more natural water regime and improve water quality. The US Geological Survey and National Park Service evaluated nutrient, algae, and nuisance bloom data in relation to changes in Kabetogama Lake water levels. Comparison of the results of this study to previous studies indicates that chlorophyll a concentrations have decreased, whereas total phosphorus (TP) concentrations have not changed significantly since 2000. Water and sediment quality data were collected at Voyageurs National Park during 2008–2009 to assess internal phosphorus loading and determine whether loading is a factor affecting TP concentrations and algal productivity. Kabetogama Lake often was mixed vertically, except for occasional stratification measured in certain areas, including Lost Bay in the northeastern part of Kabetogama Lake. Stratification, higher bottom water and sediment nutrient concentrations than in other parts of the lake, and phosphorus release rates estimated from sediment core incubations indicated that Lost Bay is one of several areas that may be contributing to internal loading. Internal loading of TP is a concern because increased TP may cause excessive algal growth including potentially toxic cyanobacteria.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Lake and Reservoir Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2013.831148","usgsCitation":"Christensen, V.G., Maki, R., and Kiesling, R.L., 2013, Evaluation of internal loading and water level changes: implications for phosphorus, algal production, and nuisance blooms in Kabetogama Lake, Voyageurs National Park, Minnesota: Lake and Reservoir Management, v. 29, no. 3, p. 202-215, https://doi.org/10.1080/10402381.2013.831148.","productDescription":"14 p.","startPage":"202","endPage":"215","numberOfPages":"14","ipdsId":"IP-043981","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":473552,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10402381.2013.831148","text":"Publisher Index Page"},{"id":277356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277355,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/10402381.2013.831148"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park;Kabetogama Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.128616,48.402901 ], [ -93.128616,48.53329 ], [ -92.785409,48.53329 ], [ -92.785409,48.402901 ], [ -93.128616,48.402901 ] ] ] } } ] }","volume":"29","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522aeb68e4b08fd0132e793d","contributors":{"authors":[{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maki, Ryan P.","contributorId":100111,"corporation":false,"usgs":true,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":483602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483600,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048014,"text":"ofr20131167 - 2013 - Dissolved methane in groundwater, Upper Delaware River Basin, Pennsylvania and New York, 2007-12","interactions":[],"lastModifiedDate":"2013-10-30T12:57:43","indexId":"ofr20131167","displayToPublicDate":"2013-09-06T08:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1167","title":"Dissolved methane in groundwater, Upper Delaware River Basin, Pennsylvania and New York, 2007-12","docAbstract":"The prospect of natural gas development from the Marcellus and Utica Shales has raised concerns about freshwater aquifers being vulnerable to contamination. Well owners are asking questions about subsurface methane, such as, “Does my well water have methane and is it safe to drink the water?” and “Is my well system at risk of an explosion hazard associated with a combustible gas like methane in groundwater?”\n\nThis newfound awareness of methane contamination of water wells by stray gas migration is based upon studies such as Molofsky and others (2011) who document the widespread natural occurrence of methane in drinking-water wells in Susquehanna County, Pennsylvania. In the same county, Osborn and others (2011) identified elevated methane concentrations in selected drinking-water wells in the vicinity of Marcellus Shale gas-development activities, although pre-development groundwater samples were not available for comparison.\n\nA compilation of dissolved methane concentrations in groundwater for New York State was published by Kappel and Nystrom (2012). Recent work documenting the occurrence and distribution of methane in groundwater was completed in southern Sullivan County, Pennsylvania (Sloto, 2013). Additional work is ongoing with respect to monitoring for stray gases in groundwater (Jackson and others, 2013). These studies and their results indicate the importance of collecting baseline or pre-development data. While such data are being collected in some areas, published data on methane in groundwater are sparse in the Upper Delaware River Basin of Pennsylvania, New York, and New Jersey. To manage drinking-water resources in areas of gas-well drilling and hydraulic fracturing in the Upper Delaware River Basin, the natural occurrence of methane in the tri-state aquifers needs to be documented.\n\nThe purpose of this report is to present data on dissolved methane concentrations in the groundwater in the Upper Delaware River Basin. The scope is restricted to data for Pennsylvania and New York, no U.S. Geological Survey (USGS) methane analyses are presently available for northwestern New Jersey.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131167","usgsCitation":"Kappel, W.M., 2013, Dissolved methane in groundwater, Upper Delaware River Basin, Pennsylvania and New York, 2007-12: U.S. Geological Survey Open-File Report 2013-1167, 6 p., https://doi.org/10.3133/ofr20131167.","productDescription":"6 p.","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":277352,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1167/"},{"id":277353,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1167/pdf/ofr2013-1167.pdf"},{"id":277354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131167.gif"}],"scale":"250000","country":"United States","state":"New York;Pennsylvania","otherGeospatial":"Upper Delaware River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.0248,40.8017 ], [ -76.0248,42.5463 ], [ -73.8851,42.5463 ], [ -73.8851,40.8017 ], [ -76.0248,40.8017 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f252e4b0bc0bec0a02f5","contributors":{"authors":[{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483599,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047997,"text":"ofr20131171 - 2013 - Evaluation of the groundwater flow model for southern Utah and Goshen Valleys, Utah, updated to conditions through 2011, with new projections and groundwater management simulations","interactions":[],"lastModifiedDate":"2017-04-10T15:27:37","indexId":"ofr20131171","displayToPublicDate":"2013-09-05T14:38:53","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1171","title":"Evaluation of the groundwater flow model for southern Utah and Goshen Valleys, Utah, updated to conditions through 2011, with new projections and groundwater management simulations","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Southern Utah Valley Municipal Water Association, updated an existing USGS model of southern Utah and Goshen Valleys for hydrologic and climatic conditions from 1991 to 2011 and used the model for projection and groundwater management simulations. All model files used in the transient model were updated to be compatible with MODFLOW-2005 and with the additional stress periods. The well and recharge files had the most extensive changes. Discharge to pumping wells in southern Utah and Goshen Valleys was estimated and simulated on an annual basis from 1991 to 2011. Recharge estimates for 1991 to 2011 were included in the updated model by using precipitation, streamflow, canal diversions, and irrigation groundwater withdrawals for each year. The model was evaluated to determine how well it simulates groundwater conditions during recent increased withdrawals and drought, and to determine if the model is adequate for use in future planning. In southern Utah Valley, the magnitude and direction of annual water-level fluctuation simulated by the updated model reasonably match measured water-level changes, but they do not simulate as much decline as was measured in some locations from 2000 to 2002. Both the rapid increase in groundwater withdrawals and the total groundwater withdrawals in southern Utah Valley during this period exceed the variations and magnitudes simulated during the 1949 to 1990 calibration period. It is possible that hydraulic properties may be locally incorrect or that changes, such as land use or irrigation diversions, occurred that are not simulated. In the northern part of Goshen Valley, simulated water-level changes reasonably match measured changes. Farther south, however, simulated declines are much less than measured declines. Land-use changes indicate that groundwater withdrawals in Goshen Valley are possibly greater than estimated and simulated. It is also possible that irrigation methods, amount of diversions, or other factors have changed that are not simulated or that aquifer properties are incorrectly simulated. The model can be used for projections about the effects of future groundwater withdrawals and managed aquifer recharge in southern Utah Valley, but rapid changes in withdrawals and increasing withdrawals dramatically may reduce the accuracy of the predicted water-level and groundwater-budget changes. The model should not be used for projections in Goshen Valley until additional withdrawal and discharge data are collected and the model is recalibrated if necessary. Model projections indicate large drawdowns of up to 400 feet and complete cessation of natural discharge in some areas with potential future increases in water use. Simulated managed aquifer recharge counteracts those effects. Groundwater management examples indicate that drawdown could be less, and discharge at selected springs could be greater, with optimized groundwater withdrawals and managed aquifer recharge than without optimization. Recalibration to more recent stresses and seasonal stress periods, and collection of new withdrawal, stream, land-use, and discharge data could improve the model fit to water-level changes and the accuracy of predictions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131171","collaboration":"Prepared in cooperation with the Southern Utah Valley Municipal Water Association","usgsCitation":"Brooks, L.E., 2013, Evaluation of the groundwater flow model for southern Utah and Goshen Valleys, Utah, updated to conditions through 2011, with new projections and groundwater management simulations: U.S. Geological Survey Open-File Report 2013-1171, vi, 35 p., https://doi.org/10.3133/ofr20131171.","productDescription":"vi, 35 p.","numberOfPages":"46","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":277324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131171.jpg"},{"id":277322,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1171/"},{"id":277323,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1171/pdf/ofr2013-1171.pdf"}],"country":"United States","state":"Utah","otherGeospatial":"Goshen Valley, Southern Utah Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112,39.5 ], [ -112,40.6 ], [ -111.16,40.6 ], [ -111.16,39.5 ], [ -112,39.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522999dfe4b0f33a3916774c","contributors":{"authors":[{"text":"Brooks, Lynette E. 0000-0002-9074-0939 lebrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-9074-0939","contributorId":2718,"corporation":false,"usgs":true,"family":"Brooks","given":"Lynette","email":"lebrooks@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483550,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047993,"text":"sir20135162 - 2013 - Application of the Precipitation-Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States","interactions":[],"lastModifiedDate":"2017-01-17T20:53:05","indexId":"sir20135162","displayToPublicDate":"2013-09-05T12:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5162","title":"Application of the Precipitation-Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States","docAbstract":"A hydrologic model of the Apalachicola–Chattahoochee–Flint River Basin (ACFB) has been developed as part of a U.S. Geological Survey (USGS) National Climate Change and Wildlife Science Center effort to provide integrated science that helps resource managers understand the effect of climate change on a range of ecosystem responses. The hydrologic model was developed as part of the Southeast Regional Assessment Project using the Precipitation Runoff Modeling System (PRMS), a deterministic, distributed-parameter, process-based system that simulates the effects of precipitation, temperature, and land use on basin hydrology.\n\nThe ACFB PRMS model simulates streamflow throughout the approximately 50,700 square-kilometer basin on a daily time step for the period 1950–99 using gridded climate forcings of air temperature and precipitation, and parameters derived from spatial data layers of altitude, land cover, soils, surficial geology, depression storage (small water bodies), and data from 56 USGS streamgages. Measured streamflow data from 35 of the 56 USGS streamgages were used to calibrate and evaluate simulated basin streamflow; the remaining gage locations were used for model delineation only. The model matched measured daily streamflow at 31 of the 35 calibration gages with Nash-Sutcliffe Model Efficiency Index (NS) greater than 0.6. Streamflow data for some calibration gages were augmented for regulation and water use effects to represent more natural flow volumes. Time-static parameters describing land cover limited the ability of the simulation to match historical runoff in the more developed subbasins.\n\nOverall, the PRMS simulation of the ACFB provides a good representation of basin hydrology on annual and monthly time steps. Calibration subbasins were analyzed by separating the 35 subbasins into five classes based on physiography, land use, and stream type (tributary or mainstem). The lowest NS values were rarely below 0.6, whereas the median NS for all five classes was within 0.74 to 0.96 for annual mean streamflow, 0.89 to 0.98 for mean monthly streamflow, and 0.82 to 0.98 for monthly mean streamflow. The median bias for all five classes was within –4.3 to 0.8 percent for annual mean streamflow, –6.3 to 0.5 percent for mean monthly streamflow, and –9.3 to 1.3 percent for monthly mean streamflow. The NS results combined with the percent bias results indicated a good to very good streamflow volume simulation for all subbasins.\n\nThis simulation of the ACFB provides a foundation for future modeling and interpretive studies. Streamflow and other components of the hydrologic cycle simulated by PRMS can be used to inform other types of simulations; water-temperature, hydrodynamic, and ecosystem-dynamics simulations are three examples. In addition, possible future hydrologic conditions could be studied using this model in combination with land cover projections and downscaled general circulation model results.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135162","usgsCitation":"LaFontaine, J.H., Hay, L.E., Viger, R., Markstrom, S.L., Regan, R., Elliott, C.M., and Jones, J., 2013, Application of the Precipitation-Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States: U.S. Geological Survey Scientific Investigations Report 2013-5162, ix, 118 p., https://doi.org/10.3133/sir20135162.","productDescription":"ix, 118 p.","numberOfPages":"132","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":277319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135162.gif"},{"id":277318,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5162/pdf/sir2013-5162.pdf"},{"id":277317,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5162/"}],"country":"United States","state":"Alabama, Florida, Georgia","otherGeospatial":"Apalachicola-Chattahoochee-Flint River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.0336,29.6993 ], [ -86.0336,34.9286 ], [ -83.115,34.9286 ], [ -83.115,29.6993 ], [ -86.0336,29.6993 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522999d0e4b0f33a39167748","contributors":{"authors":[{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":483524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Viger, Roland J.","contributorId":97528,"corporation":false,"usgs":true,"family":"Viger","given":"Roland J.","affiliations":[],"preferred":false,"id":483530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Markstrom, Steve L.","contributorId":50073,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steve","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":483528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regan, R. Steve 0000-0003-4803-8596","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":58736,"corporation":false,"usgs":true,"family":"Regan","given":"R. Steve","affiliations":[],"preferred":false,"id":483529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":483527,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":483525,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047992,"text":"sim3232 - 2013 - Flood-inundation maps for the Wabash River at Terre Haute, Indiana","interactions":[],"lastModifiedDate":"2013-09-05T13:12:04","indexId":"sim3232","displayToPublicDate":"2013-09-05T12:44:46","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3232","title":"Flood-inundation maps for the Wabash River at Terre Haute, Indiana","docAbstract":"Digital flood-inundation maps for a 6.3-mi reach of the Wabash River from 0.1 mi downstream of the Interstate 70 bridge to 1.1 miles upstream of the Route 63 bridge, Terre Haute, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent of flooding corresponding to select water levels (stages) at the USGS streamgage Wabash River at Terre Haute (station number 03341500). Current conditions at the USGS streamgage may be obtained on the Internet from the USGS National Water Information System (http://waterdata.usgs.gov/in/nwis/uv/?site_no=03341500&agency_cd=USGS&p\"). In addition, the same data are provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system (http://water.weather.gov/ahps//). Within this system, the NWS forecasts flood hydrographs for the Wabash River at Terre Haute that may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.  In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relation at the Wabash River at the Terre Haute streamgage. The hydraulic model was then used to compute 22 water-surface profiles for flood stages at 1-ft interval referenced to the streamgage datum and ranging from bank-full to approximately the highest recorded water level at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from Light Detection and Ranging (LiDAR) data having a 0.37-ft vertical accuracy and a 1.02-ft horizontal accuracy) to delineate the area flooded at each water level.  The availability of these maps along with Internet information regarding the current stage from the USGS streamgage and forecasted stream stages from the NWS can provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for post flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3232","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Lombard, P., 2013, Flood-inundation maps for the Wabash River at Terre Haute, Indiana: U.S. Geological Survey Scientific Investigations Map 3232, Report: v, 7 p.; Low Resolution and High Resolution Map Sheets; Downloads Directory, https://doi.org/10.3133/sim3232.","productDescription":"Report: v, 7 p.; Low Resolution and High Resolution Map Sheets; Downloads Directory","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":277316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3232.gif"},{"id":277312,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3232/"},{"id":277314,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3232/pdf/pdf-mapsheets"},{"id":277313,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3232/pdf/sim3232.pdf"},{"id":277315,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3232/Downloads"}],"country":"United States","state":"Indiana","city":"Terre Haute","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.41,39.40 ], [ -87.41,39.53 ], [ -87.27,39.53 ], [ -87.27,39.40 ], [ -87.41,39.40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522999dfe4b0f33a39167750","contributors":{"authors":[{"text":"Lombard, Pamela J. 0000-0002-0983-1906","orcid":"https://orcid.org/0000-0002-0983-1906","contributorId":23899,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela J.","affiliations":[],"preferred":false,"id":483523,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047989,"text":"ofr20131003 - 2013 - Sea-floor geology in northeastern Block Island Sound, Rhode Island","interactions":[],"lastModifiedDate":"2017-11-10T18:25:20","indexId":"ofr20131003","displayToPublicDate":"2013-09-05T11:10:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1003","title":"Sea-floor geology in northeastern Block Island Sound, Rhode Island","docAbstract":"Multibeam-echosounder and sidescan-sonar data collected by the National Oceanic and Atmospheric Administration in northeastern Block Island Sound, combined with sediment samples and bottom photography collected by the U.S. Geological Survey, are used to interpret sea-floor features and sedimentary environments in this 52-square-kilometer-area offshore Rhode Island. Boulders, which are often overgrown with sessile fauna and flora, are mostly in water depths shallower than 20 meters. They are probably part of the southern flank of the Harbor Hill-Roanoke Point-Charlestown-Buzzards Bay moraine, deposited about 18,000 years ago. Scour depressions, areas of the sea floor with a coarser grained, rippled surface lying about 0.5 meter below the finer grained, surrounding sea floor, along with erosional outliers within the depressions are in a band near shore and also offshore in deep parts of the study area. Textural and bathymetric differences between areas of scour depressions and the surrounding sea floor or erosional outliers stand out in the sidescan-sonar imagery with sharp tonal contrasts. Also visible in the sidescan-sonar imagery are broad, low-profile bedforms with coarser grained troughs and finer grained crests.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131003","usgsCitation":"McMullen, K.Y., Poppe, L., Ackerman, S.D., Blackwood, D.S., Lewit, P., and Parker, C.E., 2013, Sea-floor geology in northeastern Block Island Sound, Rhode Island: U.S. Geological Survey Open-File Report 2013-1003, https://doi.org/10.3133/ofr20131003.","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":277310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131003.gif"},{"id":277308,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1003/title_page.html"},{"id":277307,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1003/"}],"country":"United States","state":"Rhode 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41.37583009835655], [-71.52008374206325, 41.37503507413786], [-71.51657022413279, 41.372477853249826], [-71.51494839567096, 41.377648161406746], [-71.5126029050341, 41.377571565273065], [-71.5127361083695, 41.374865718724074]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-71.60499068474991, 41.31506189270702, -71.47765444441654, 41.377648161406746], \"type\": \"Feature\", \"id\": \"3091983\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522999e0e4b0f33a39167754","contributors":{"authors":[{"text":"McMullen, Kate Y.","contributorId":8582,"corporation":false,"usgs":true,"family":"McMullen","given":"Kate","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":483517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poppe, Lawrence J. lpoppe@usgs.gov","contributorId":2149,"corporation":false,"usgs":true,"family":"Poppe","given":"Lawrence J.","email":"lpoppe@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":483515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":483518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackwood, Dann S. dblackwood@usgs.gov","contributorId":2457,"corporation":false,"usgs":true,"family":"Blackwood","given":"Dann","email":"dblackwood@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":483516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lewit, P.G.","contributorId":76028,"corporation":false,"usgs":true,"family":"Lewit","given":"P.G.","affiliations":[],"preferred":false,"id":483520,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parker, Castle E.","contributorId":28684,"corporation":false,"usgs":false,"family":"Parker","given":"Castle","email":"","middleInitial":"E.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":483519,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70047982,"text":"fs20133060 - 2013 - Landsat 8","interactions":[{"subject":{"id":70047982,"text":"fs20133060 - 2013 - Landsat 8","indexId":"fs20133060","publicationYear":"2013","noYear":false,"title":"Landsat 8"},"predicate":"SUPERSEDED_BY","object":{"id":70159774,"text":"fs20153081 - 2015 - Landsat—Earth observation satellites","indexId":"fs20153081","publicationYear":"2015","noYear":false,"title":"Landsat—Earth observation satellites"},"id":1}],"supersededBy":{"id":70159774,"text":"fs20153081 - 2015 - Landsat—Earth observation satellites","indexId":"fs20153081","publicationYear":"2015","noYear":false,"title":"Landsat—Earth observation satellites"},"lastModifiedDate":"2017-03-27T15:32:05","indexId":"fs20133060","displayToPublicDate":"2013-09-04T15:22:04","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3060","title":"Landsat 8","docAbstract":"<p>The Landsat era that began in 1972 will continue into the future, since the February 2013 launch of the Landsat Data Continuity Mission (renamed Landsat 8 on May 30, 2013). The Landsat 8 satellite provides 16-bit high-quality land-surface data, with instruments advancing future measurement capabilities while ensuring compatibility with historical Landsat data. The Operational Land Imager sensor collects data in the visible, near infrared, and shortwave infrared wavelength regions as well as a panchromatic band. Two new spectral bands have been added: a deep-blue band for coastal water and aerosol studies (band 1), and a band for cirrus cloud detection (band 9). A Quality Assurance band is also included to indicate the presence of terrain shadowing, data artifacts, and clouds. The Thermal Infrared Sensor collects data in two long wavelength thermal infrared bands and has a 3-year design life.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133060","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Landsat 8: U.S. Geological Survey Fact Sheet 2013-3060, 4 p., https://doi.org/10.3133/fs20133060.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":277290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133060.gif"},{"id":277288,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3060/"},{"id":277289,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3060/pdf/fs2013-3060.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5228485fe4b06291bed80394","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535585,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047980,"text":"fs20133065 - 2013 - Baseline assessment of physical characteristics, aquatic biota, and selected water-quality properties at the reach and mesohabitat scale for three stream reaches in the Big Cypress Basin, northeastern Texas, 2010-11","interactions":[],"lastModifiedDate":"2026-06-10T21:18:30.652836","indexId":"fs20133065","displayToPublicDate":"2013-09-04T14:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3065","title":"Baseline assessment of physical characteristics, aquatic biota, and selected water-quality properties at the reach and mesohabitat scale for three stream reaches in the Big Cypress Basin, northeastern Texas, 2010-11","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the Northeast Texas Municipal Water District and the Texas Commission on Environmental Quality, did a baseline assessment in 2010-11 of physical characteristics and selected aquatic biota (fish and mussels) collected at the mesohabitat scale for three stream reaches in the Big Cypress Basin in northeastern Texas for which environmental flows have been prescribed. Mesohabitats are visually distinct units of habitat within the stream with unique depth, velocity, slope, substrate, and cover. Mesohabitats in reaches of Big Cypress, Black Cypress, and Little Cypress Bayous were evaluated to gain an understanding of how fish communities and mussel populations varied by habitat. Selected water-quality properties were also measured in isolated pools in Black Cypress and Little Cypress. All of the data were collected in the context of the prescribed environmental flows. The information acquired during the study will support the long-term monitoring of biota in relation to the prescribed environmental flows.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133065","collaboration":"Prepared in cooperation with the Northeast Texas Municipal Water District and the Texas Commission on Environmental Quality","usgsCitation":"Braun, C.L., and Moring, J., 2013, Baseline assessment of physical characteristics, aquatic biota, and selected water-quality properties at the reach and mesohabitat scale for three stream reaches in the Big Cypress Basin, northeastern Texas, 2010-11: U.S. Geological Survey Fact Sheet 2013-3065, 4 p., https://doi.org/10.3133/fs20133065.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":277283,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3065/pdf/FS2013-3065.pdf"},{"id":505363,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98843.htm","linkFileType":{"id":5,"text":"html"}},{"id":277282,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3065/"},{"id":277284,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133065.gif"}],"scale":"24000","projection":"Universal Transverse Mercator, zone 15","datum":"North American Datum of 1983","country":"United States","state":"Texas","otherGeospatial":"Big Cypress Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.573059,32.649204 ], [ -94.573059,32.833443 ], [ -94.198494,32.833443 ], [ -94.198494,32.649204 ], [ -94.573059,32.649204 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5228485fe4b06291bed80390","contributors":{"authors":[{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moring, James B. jbmoring@usgs.gov","contributorId":1509,"corporation":false,"usgs":true,"family":"Moring","given":"James B.","email":"jbmoring@usgs.gov","affiliations":[],"preferred":false,"id":483493,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047973,"text":"ofr20131170B - 2013 - Alaska earthquake source for the SAFRR tsunami scenario: Chapter B in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>","interactions":[],"lastModifiedDate":"2018-01-08T12:46:27","indexId":"ofr20131170B","displayToPublicDate":"2013-09-04T13:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1170","chapter":"B","title":"Alaska earthquake source for the SAFRR tsunami scenario: Chapter B in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>","docAbstract":"Tsunami modeling has shown that tsunami sources located along the Alaska Peninsula segment of the Aleutian-Alaska subduction zone have the greatest impacts on southern California shorelines by raising the highest tsunami waves for a given source seismic moment. The most probable sector for a M<sub>w</sub> ~ 9 source within this subduction segment is between Kodiak Island and the Shumagin Islands in what we call the Semidi subduction sector; these bounds represent the southwestern limit of the 1964 M<sub>w</sub> 9.2 Alaska earthquake rupture and the northeastern edge of the Shumagin sector that recent Global Positioning System (GPS) observations indicate is currently creeping. Geological and geophysical features in the Semidi sector that are thought to be relevant to the potential for large magnitude, long-rupture-runout interplate thrust earthquakes are remarkably similar to those in northeastern Japan, where the destructive M<sub>w</sub> 9.1 tsunamigenic earthquake of 11 March 2011 occurred. In this report we propose and justify the selection of a tsunami source seaward of the Alaska Peninsula for use in the Tsunami Scenario that is part of the U.S. Geological Survey (USGS) Science Application for Risk Reduction (SAFRR) Project. This tsunami source should have the potential to raise damaging tsunami waves on the California coast, especially at the ports of Los Angeles and Long Beach. Accordingly, we have summarized and abstracted slip distribution from the source literature on the 2011 event, the best characterized for any subduction earthquake, and applied this synoptic slip distribution to the similar megathrust geometry of the Semidi sector. The resulting slip model has an average slip of 18.6 m and a moment magnitude of M<sub>w</sub> = 9.1. The 2011 Tohoku earthquake was not anticipated, despite Japan having the best seismic and geodetic networks in the world and the best historical record in the world over the past 1,500 years. What was lacking was adequate paleogeologic data on prehistoric earthquakes and tsunamis, a data gap that also presently applies to the Alaska Peninsula and the Aleutian Islands. Quantitative appraisal of potential tsunami sources in Alaska requires such investigations.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The SAFRR (Science Application for Risk Reduction) Tsunami Scenario (Open File Report 2013-1170)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131170B","collaboration":"This report is Chapter B in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>.  For more information, see: <a href=\"http://pubs.usgs.gov/of/2013/1170/\" target=\"_blank\">Open File Report 2013-1170</a>.","usgsCitation":"Kirby, S., Scholl, D., von Huene, R.E., and Wells, R., 2013, Alaska earthquake source for the SAFRR tsunami scenario: Chapter B in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>: U.S. Geological Survey Open-File Report 2013-1170, Report: vi, 40 p.; Table 3: Excel file; Appendix A: Excel file, https://doi.org/10.3133/ofr20131170B.","productDescription":"Report: vi, 40 p.; Table 3: Excel file; Appendix A: Excel file","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":277278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131170b.gif"},{"id":277276,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1170/b/index.html"},{"id":277277,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1170/b/pdf/of2013-1170b_text.pdf"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -168.93,51.32 ], [ -168.93,58.33 ], [ -155.04,58.33 ], [ -155.04,51.32 ], [ -168.93,51.32 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52284852e4b06291bed8038c","contributors":{"authors":[{"text":"Kirby, Stephen","contributorId":89412,"corporation":false,"usgs":true,"family":"Kirby","given":"Stephen","affiliations":[],"preferred":false,"id":483481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scholl, David","contributorId":81400,"corporation":false,"usgs":true,"family":"Scholl","given":"David","affiliations":[],"preferred":false,"id":483480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"von Huene, Roland E. 0000-0003-1301-3866 rvonhuene@usgs.gov","orcid":"https://orcid.org/0000-0003-1301-3866","contributorId":191070,"corporation":false,"usgs":true,"family":"von Huene","given":"Roland","email":"rvonhuene@usgs.gov","middleInitial":"E.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":483478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wells, Ray 0000-0002-7796-0160","orcid":"https://orcid.org/0000-0002-7796-0160","contributorId":71260,"corporation":false,"usgs":true,"family":"Wells","given":"Ray","affiliations":[],"preferred":false,"id":483479,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047971,"text":"sir20135157 - 2013 - Synthesis and interpretation of surface-water quality and aquatic biota data collected in Shenandoah National Park, Virginia, 1979-2009","interactions":[],"lastModifiedDate":"2024-03-04T19:42:48.919003","indexId":"sir20135157","displayToPublicDate":"2013-09-04T13:33:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5157","title":"Synthesis and interpretation of surface-water quality and aquatic biota data collected in Shenandoah National Park, Virginia, 1979-2009","docAbstract":"<p><span>Shenandoah National Park in northern and central Virginia protects 777 square kilometers of mountain terrain in the Blue Ridge physiographic province and more than 90&nbsp;streams containing diverse aquatic biota. Park managers and visitors are interested in the water quality of park streams and its ability to support healthy coldwater communities and species, such as the native brook trout (</span><i>Salvelinus fontinalis</i><span>), that are at risk in the eastern United States. Despite protection from local stressors, however, the water quality of streams in the park is at risk from many regional stressors, including atmospheric pollution, decline in the health of the surrounding forests because of invasive forest pests, and global climate change. In 2010, the U.S. Geological Survey, in cooperation with the National Park Service, undertook a study to compile, analyze, and synthesize available data on water quality, aquatic macroinvertebrates, and fish within Shenandoah National Park. Specifically, the effort focused on creating a comprehensive water-resources database for the park that can be used to evaluate temporal trends and spatial patterns in the available data, and characterizing those data to better understand interrelations among water quality, aquatic macroinvertebrates, fish, and the&nbsp;landscape.</span></p>","language":"English","publisher":"U. S. 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,{"id":70047961,"text":"ofr20131232 - 2013 - Using broad landscape level features to predict redd densities of steelhead trout (<i>Oncorhynchus mykiss</i>) and Chinook Salmon (<i>Oncorhynchus tshawytscha</i>) in the Methow River watershed, Washington","interactions":[],"lastModifiedDate":"2023-07-25T13:05:14.419686","indexId":"ofr20131232","displayToPublicDate":"2013-09-04T06:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1232","title":"Using broad landscape level features to predict redd densities of steelhead trout (<i>Oncorhynchus mykiss</i>) and Chinook Salmon (<i>Oncorhynchus tshawytscha</i>) in the Methow River watershed, Washington","docAbstract":"We used broad-scale landscape feature variables to model redd densities of spring Chinook salmon (<i>Oncorhynchus tshawytscha</i>) and steelhead trout (<i>Oncorhynchus mykiss</i>) in the Methow River watershed. Redd densities were estimated from redd counts conducted from 2005 to 2007 and 2009 for steelhead trout and 2005 to 2009 for spring Chinook salmon. These densities were modeled using generalized linear mixed models. Variables examined included primary and secondary geology type, habitat type, flow type, sinuosity, and slope of stream channel. In addition, we included spring effect and hatchery effect variables to account for high densities of redds near known springs and hatchery outflows. Variables were associated with National Hydrography Database reach designations for modeling redd densities within each reach. Reaches were assigned a dominant habitat type, geology, mean slope, and sinuosity. The best fit model for spring Chinook salmon included sinuosity, critical slope, habitat type, flow type, and hatchery effect. Flow type, slope, and habitat type variables accounted for most of the variation in the data. The best fit model for steelhead trout included year, habitat type, flow type, hatchery effect, and spring effect. The spring effect, flow type, and hatchery effect variables explained most of the variation in the data. Our models illustrate how broad-scale landscape features may be used to predict spawning habitat over large areas where fine-scale data may be lacking.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131232","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Romine, J.G., Perry, R.W., and Connolly, P., 2013, Using broad landscape level features to predict redd densities of steelhead trout (<i>Oncorhynchus mykiss</i>) and Chinook Salmon (<i>Oncorhynchus tshawytscha</i>) in the Methow River watershed, Washington: U.S. Geological Survey Open-File Report 2013-1232, iv, 22 p., https://doi.org/10.3133/ofr20131232.","productDescription":"iv, 22 p.","numberOfPages":"30","onlineOnly":"Y","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":277258,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131232.png"},{"id":277256,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1232/","linkFileType":{"id":5,"text":"html"}},{"id":277257,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1232/pdf/ofr20131232.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Washington","otherGeospatial":"Methow River Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.833333,\n              48.833333\n            ],\n            [\n              -120.833333,\n              48\n            ],\n            [\n              -120,\n              48\n            ],\n            [\n              -120,\n              48.833333\n            ],\n            [\n              -120.833333,\n              48.833333\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52284863e4b06291bed803b4","contributors":{"authors":[{"text":"Romine, Jason G. 0000-0002-6938-1185 jromine@usgs.gov","orcid":"https://orcid.org/0000-0002-6938-1185","contributorId":2823,"corporation":false,"usgs":true,"family":"Romine","given":"Jason","email":"jromine@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":483411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":483410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":483412,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047951,"text":"70047951 - 2013 - Golden eagle population trends in the western United States: 1968-2010","interactions":[],"lastModifiedDate":"2013-09-03T13:23:40","indexId":"70047951","displayToPublicDate":"2013-09-03T13:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Golden eagle population trends in the western United States: 1968-2010","docAbstract":"In 2009, the United States Fish and Wildlife Service promulgated permit regulations for the unintentional lethal take (anthropogenic mortality) and disturbance of golden eagles (Aquila chrysaetos). Accurate population trend and size information for golden eagles are needed so agency biologists can make informed decisions when eagle take permits are requested. To address this need with available data, we used a log-linear hierarchical model to average data from a late-summer aerial-line-transect distance-sampling survey (WGES) of golden eagles in the United States portions of Bird Conservation Region (BCR) 9 (Great Basin), BCR 10 (Northern Rockies), BCR 16 (Southern Rockies/Colorado Plateau), and BCR 17 (Badlands and Prairies) from 2006 to 2010 with late-spring, early summer Breeding Bird Survey (BBS) data for the same BCRs and years to estimate summer golden eagle population size and trends in these BCRs. We used the ratio of the density estimates from the WGES to the BBS index to calculate a BCR-specific adjustment factor that scaled the BBS index (i.e., birds per route) to a density estimate. Our results indicated golden eagle populations were generally stable from 2006 to 2010 in the 4 BCRs, with an estimated average rate of population change of −0.41% (95% credible interval [CI]: −4.17% to 3.40%) per year. For the 4 BCRs and years, we estimated annual golden eagle population size to range from 28,220 (95% CI: 23,250–35,110) in 2007 to 26,490 (95% CI: 21,760–32,680) in 2008. We found a general correspondence in trends between WGES and BBS data for these 4 BCRs, which suggested BBS data were providing useful trend information. We used the overall adjustment factor calculated from the 4 BCRs and years to scale BBS golden eagle counts from 1968 to 2005 for the 4 BCRs and for 1968 to 2010 for the 8 other BCRs (without WGES data) to estimate golden eagle population size and trends across the western United States for the period 1968 to 2010. In general, we noted slightly declining trends in southern BCRs and slightly increasing trends in northern BCRs. However, we estimated the average rate of golden eagle population change across all 12 BCRs for the period 1968–2010 as +0.40% per year (95% CI = −0.27% to 1.00%), suggesting a stable population. We also estimated the average rate of population change for the period 1990–2010 was +0.5% per year (95% CI = −0.33% to 1.3%). Our annual estimates of population size for the most recent decade range from 31,370 (95% CI: 25,450–39,310) in 2004 to 33,460 (95% CI: 27,380–41,710) in 2007. Our results clarify that golden eagles are not declining widely in the western United States. © 2013 The Wildlife Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.588","usgsCitation":"Millsap, B.A., Zimmerman, G.S., Sauer, J., Nielson, R.M., Otto, M., Bjerre, E., and Murphy, R.K., 2013, Golden eagle population trends in the western United States: 1968-2010: Journal of Wildlife Management, v. 77, no. 7, p. 1436-1448, https://doi.org/10.1002/jwmg.588.","productDescription":"13 p.","startPage":"1436","endPage":"1448","numberOfPages":"13","temporalStart":"1968-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-042830","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":277245,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.588"},{"id":277251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona;California;Colorado;Idaho;Iowa;Kansas;Minnesota;Montana;Nebraska;Nevada;New Mexico;North Dakota;Oklahoma;Oregon;South Dakota;Texas;Utah;Washington;Wyoming","otherGeospatial":"Badlands And Prairies;Chihuahuan Desert;Coastal California;Great Basin;Northern Pacific Rainforest;Northern Rockies;Prairie Potholes;Shortgrass Prairie;Sierra Madre Occidental;Sierra Nevada;Sonoran And Mojave Deserts;Southern Rockies/colorado Plateau","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,25.95 ], [ -124.8,49.03 ], [ -93.25,49.03 ], [ -93.25,25.95 ], [ -124.8,25.95 ] ] ] } } ] }","volume":"77","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5226f6dfe4b01904cf5a8147","contributors":{"authors":[{"text":"Millsap, Brian A.","contributorId":75841,"corporation":false,"usgs":true,"family":"Millsap","given":"Brian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":483386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Guthrie S.","contributorId":42473,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":483383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sauer, John R. jrsauer@usgs.gov","contributorId":3737,"corporation":false,"usgs":true,"family":"Sauer","given":"John R.","email":"jrsauer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":483381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nielson, Ryan M.","contributorId":78971,"corporation":false,"usgs":false,"family":"Nielson","given":"Ryan","email":"","middleInitial":"M.","affiliations":[{"id":6660,"text":"Western EcoSystems Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":483387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Otto, Mark","contributorId":33611,"corporation":false,"usgs":true,"family":"Otto","given":"Mark","affiliations":[],"preferred":false,"id":483382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bjerre, Emily","contributorId":44451,"corporation":false,"usgs":true,"family":"Bjerre","given":"Emily","affiliations":[],"preferred":false,"id":483384,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murphy, Robert K.","contributorId":67643,"corporation":false,"usgs":false,"family":"Murphy","given":"Robert","email":"","middleInitial":"K.","affiliations":[{"id":56253,"text":"Eagle Environmental, Inc","active":true,"usgs":false}],"preferred":false,"id":483385,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047949,"text":"70047949 - 2013 - Remote detection of magmatic water in Bullialdus crater on the Moon","interactions":[],"lastModifiedDate":"2013-09-03T12:58:14","indexId":"70047949","displayToPublicDate":"2013-09-03T12:54:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Remote detection of magmatic water in Bullialdus crater on the Moon","docAbstract":"Once considered dry compared with Earth, laboratory analyses of igneous components of lunar samples have suggested that the Moon’s interior is not entirely anhydrous. Water and hydroxyl have also been detected from orbit on the lunar surface, but these have been attributed to nonindigenous sources, such as interactions with the solar wind. Magmatic lunar volatiles—evidence for water indigenous to the lunar interior—have not previously been detected remotely. Here we analyse spectroscopic data from the Moon Mineralogy Mapper (M<sup>3</sup>) and report that the central peak of Bullialdus Crater is significantly enhanced in hydroxyl relative to its surroundings. We suggest that the strong and localized hydroxyl absorption features are inconsistent with a surficial origin. Instead, they are consistent with hydroxyl bound to magmatic minerals that were excavated from depth by the impact that formed Bullialdus Crater. Furthermore, estimates of thorium concentration in the central peak using data from the Lunar Prospector orbiter indicate an enhancement in incompatible elements, in contrast to the compositions of water-bearing lunar samples. We suggest that the hydroxyl-bearing material was excavated from a magmatic source that is distinct from that of samples analysed thus far.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature","doi":"10.1038/NGEO1909","usgsCitation":"Klima, R.L., Cahill, J., Hagerty, J., and Lawrence, D., 2013, Remote detection of magmatic water in Bullialdus crater on the Moon: Nature Geoscience, v. 6, no. 9, p. 737-741, https://doi.org/10.1038/NGEO1909.","productDescription":"5 p.","startPage":"737","endPage":"741","numberOfPages":"5","ipdsId":"IP-039858","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":277244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277240,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/NGEO1909"}],"otherGeospatial":"Bullialdus Crater;Moon","volume":"6","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-08-25","publicationStatus":"PW","scienceBaseUri":"5226f6e0e4b01904cf5a814f","contributors":{"authors":[{"text":"Klima, Rachel L.","contributorId":18666,"corporation":false,"usgs":false,"family":"Klima","given":"Rachel","email":"","middleInitial":"L.","affiliations":[{"id":7166,"text":"Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":483372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cahill, John","contributorId":28516,"corporation":false,"usgs":true,"family":"Cahill","given":"John","email":"","affiliations":[],"preferred":false,"id":483373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagerty, Justin 0000-0003-3800-7948 jhagerty@usgs.gov","orcid":"https://orcid.org/0000-0003-3800-7948","contributorId":911,"corporation":false,"usgs":true,"family":"Hagerty","given":"Justin","email":"jhagerty@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":483371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawrence, David","contributorId":59333,"corporation":false,"usgs":true,"family":"Lawrence","given":"David","affiliations":[],"preferred":false,"id":483374,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046809,"text":"70046809 - 2013 - Vegetation inventory, mapping, and classification report, Fort Bowie National Historic Site","interactions":[],"lastModifiedDate":"2020-01-29T08:49:05","indexId":"70046809","displayToPublicDate":"2013-09-03T12:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SODN/NRR—2013/673","title":"Vegetation inventory, mapping, and classification report, Fort Bowie National Historic Site","docAbstract":"A vegetation mapping and characterization effort was conducted at Fort Bowie National Historic Site in 2008-10 by the Sonoran Desert Network office in collaboration with researchers from the Office of Arid lands studies, Remote Sensing Center at the University of Arizona. This vegetation mapping effort was completed under the National Park Service Vegetation Inventory program which aims to complete baseline mapping inventories at over 270 national park units. The vegetation map data was collected to provide park managers with a digital map product that met national standards of spatial and thematic accuracy, while also placing the vegetation into a regional and even national context. Work comprised of three major field phases 1) concurrent field-based classification data collection and mapping (map unit delineation), 2) development of vegetation community types at the National Vegetation Classification alliance or association level and 3) map accuracy assessment. Phase 1 was completed in late 2008 and early 2009. Community type descriptions were drafted to meet the then-current hierarchy (version 1) of the National Vegetation Classification System (NVCS) and these were applied to each of the mapped areas.  This classification was developed from both plot level data and censused polygon data (map units) as this project was conducted as a concurrent mapping and classification effort. The third stage of accuracy assessment completed in the fall of 2010 consisted of a complete census of each map unit and was conducted almost entirely by park staff. Following accuracy assessment the map was amended where needed and final products were developed including this report, a digital map and full vegetation descriptions. Fort Bowie National Historic Site covers only 1000 acres yet has a relatively complex landscape, topography and geology. A total of 16 distinct communities were described and mapped at Fort Bowie NHS. These ranged from lush riparian woodlands lining the ephemeral washes dominated by Ash (Fraxinus), Walnut (Juglans) and Hackberry (Celtis) to drier upland sites typical of desert scrub and semi-desert grassland communities. These shrublands boast a diverse mixture of shrubs, succulents and perennial grasses. In many places the vegetation could be seen to echo the history of the fort site, with management of shrub encroachment apparent in the grasslands and the paucity of trees evidence of historic cutting for timber and fire wood. Seven of the 16 vegetation types were ‘accepted’ types within the NVC while the others have been described here as specific to FOBO and have proposed status within the NVC. The map was designed to facilitate ecologically-based natural resources management and research. The map is in digital format within a geodatabase structure that allows for complex relationships to be established between spatial and tabular data, and makes accessing the product easy and seamless.  The GIS format allows user flexibility and will also enable updates to be made as new information becomes available (such as revised NVC codes or vegetation type names) or in the event of major disturbance events that could impact the vegetation.","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Studd, S., Fallon, E., Crumbacher, L., Drake, S., and Villarreal, M.L., 2013, Vegetation inventory, mapping, and classification report, Fort Bowie National Historic Site: Natural Resource Report NPS/SODN/NRR—2013/673, xi, 93 p.","productDescription":"xi, 93 p.","numberOfPages":"122","ipdsId":"IP-043893","costCenters":[],"links":[{"id":277243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274694,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2195865","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Fort Bowie National Historic Site","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.4833,32.141136 ], [ -109.4833,32.157506 ], [ -109.429094,32.157506 ], [ -109.429094,32.141136 ], [ -109.4833,32.141136 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5226f6e3e4b01904cf5a8163","contributors":{"authors":[{"text":"Studd, Sarah","contributorId":64984,"corporation":false,"usgs":true,"family":"Studd","given":"Sarah","affiliations":[],"preferred":false,"id":480314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fallon, Elizabeth","contributorId":14286,"corporation":false,"usgs":true,"family":"Fallon","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":480313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crumbacher, Laura","contributorId":87850,"corporation":false,"usgs":true,"family":"Crumbacher","given":"Laura","email":"","affiliations":[],"preferred":false,"id":480315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drake, Sam","contributorId":10532,"corporation":false,"usgs":true,"family":"Drake","given":"Sam","email":"","affiliations":[],"preferred":false,"id":480312,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":480311,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047503,"text":"70047503 - 2013 - Social learning of migratory performance","interactions":[],"lastModifiedDate":"2013-10-30T12:41:03","indexId":"70047503","displayToPublicDate":"2013-09-03T11:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Social learning of migratory performance","docAbstract":"Successful bird migration can depend on individual learning, social learning, and innate navigation programs. Using 8 years of data on migrating whooping cranes, we were able to partition genetic and socially learned aspects of migration. Specifically, we analyzed data from a reintroduced population wherein all birds were captive bred and artificially trained by ultralight aircraft on their first lifetime migration. For subsequent migrations, in which birds fly individually or in groups but without ultralight escort, we found evidence of long-term social learning, but no effect of genetic relatedness on migratory performance. Social learning from older birds reduced deviations from a straight-line path, with 7 years of experience yielding a 38% improvement in migratory accuracy.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1126/science.1237139","usgsCitation":"Mueller, T., O’Hara, R.B., Converse, S.J., Urbanek, R.P., and Fagan, W., 2013, Social learning of migratory performance: Science, v. 341, no. 6149, p. 999-1002, https://doi.org/10.1126/science.1237139.","productDescription":"4 p.","startPage":"999","endPage":"1002","numberOfPages":"4","ipdsId":"IP-049651","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":277238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277237,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.1237139"}],"volume":"341","issue":"6149","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5226f6e1e4b01904cf5a8153","contributors":{"authors":[{"text":"Mueller, Thomas","contributorId":91393,"corporation":false,"usgs":true,"family":"Mueller","given":"Thomas","affiliations":[],"preferred":false,"id":482204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Hara, Robert B.","contributorId":46402,"corporation":false,"usgs":true,"family":"O’Hara","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":482203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":3513,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":482201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Urbanek, Richard P.","contributorId":38400,"corporation":false,"usgs":true,"family":"Urbanek","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":482202,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fagan, William F.","contributorId":108239,"corporation":false,"usgs":true,"family":"Fagan","given":"William F.","affiliations":[],"preferred":false,"id":482205,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047947,"text":"70047947 - 2013 - Continuous gravity measurements reveal a low-density lava lake at Kīlauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2013-10-30T12:39:36","indexId":"70047947","displayToPublicDate":"2013-09-03T10:03:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Continuous gravity measurements reveal a low-density lava lake at Kīlauea Volcano, Hawai‘i","docAbstract":"On 5 March 2011, the lava lake within the summit eruptive vent at Kīlauea Volcano, Hawai‘i, began to drain as magma withdrew to feed a dike intrusion and fissure eruption on the volcanoʼs east rift zone. The draining was monitored by a variety of continuous geological and geophysical measurements, including deformation, thermal and visual imagery, and gravity. Over the first ∼14 hours of the draining, the ground near the eruptive vent subsided by about 0.15 m, gravity dropped by more than 100 μGal, and the lava lake retreated by over 120 m. We used GPS data to correct the gravity signal for the effects of subsurface mass loss and vertical deformation in order to isolate the change in gravity due to draining of the lava lake alone. Using a model of the eruptive vent geometry based on visual observations and the lava level over time determined from thermal camera data, we calculated the best-fit lava density to the observed gravity decrease — to our knowledge, the first geophysical determination of the density of a lava lake anywhere in the world. Our result, 950 +/- 300 kg m<sup>-3</sup>, suggests a lava density less than that of water and indicates that Kīlaueaʼs lava lake is gas-rich, which can explain why rockfalls that impact the lake trigger small explosions. Knowledge of such a fundamental material property as density is also critical to investigations of lava-lake convection and degassing and can inform calculations of pressure change in the subsurface magma plumbing system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2013.06.024","usgsCitation":"Carbone, D., Poland, M., Patrick, M.R., and Orr, T., 2013, Continuous gravity measurements reveal a low-density lava lake at Kīlauea Volcano, Hawai‘i: Earth and Planetary Science Letters, v. 376, no. 15 August, p. 178-185, https://doi.org/10.1016/j.epsl.2013.06.024.","productDescription":"8 p.","startPage":"178","endPage":"185","numberOfPages":"8","ipdsId":"IP-048829","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":277225,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2013.06.024"},{"id":277228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.295439,19.388239 ], [ -155.295439,19.426125 ], [ -155.242481,19.426125 ], [ -155.242481,19.388239 ], [ -155.295439,19.388239 ] ] ] } } ] }","volume":"376","issue":"15 August","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5226f6dfe4b01904cf5a8143","contributors":{"authors":[{"text":"Carbone, Daniele","contributorId":38458,"corporation":false,"usgs":true,"family":"Carbone","given":"Daniele","affiliations":[],"preferred":false,"id":483365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":483362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":483363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orr, Tim R. torr@usgs.gov","contributorId":3766,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","email":"torr@usgs.gov","affiliations":[],"preferred":false,"id":483364,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048654,"text":"70048654 - 2013 - Spatial capture-recapture","interactions":[],"lastModifiedDate":"2013-11-05T16:10:31","indexId":"70048654","displayToPublicDate":"2013-09-01T16:06:00","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Spatial capture-recapture","docAbstract":"Spatial Capture-Recapture provides a revolutionary extension of traditional capture-recapture methods for studying animal populations using data from live trapping, camera trapping, DNA sampling, acoustic sampling, and related field methods.  This book is a conceptual and methodological synthesis of spatial capture-recapture modeling. As a comprehensive how-to manual, this reference contains detailed examples of a wide range of relevant spatial capture-recapture models for inference about population size and spatial and temporal variation in demographic parameters. Practicing field biologists studying animal populations will find this book to be a useful resource, as will graduate students and professionals in ecology, conservation biology, and fisheries and wildlife management.","language":"English","publisher":"Academic Press","publisherLocation":"Waltham, MA","isbn":"9780124059399","usgsCitation":"Royle, J., Chandler, R.B., Sollmann, R., and Gardner, B., 2013, Spatial capture-recapture, xxix, 577 p.","productDescription":"xxix, 577 p.","ipdsId":"IP-048864","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":278866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278477,"type":{"id":15,"text":"Index Page"},"url":"https://store.elsevier.com/Spatial-Capture-Recapture/J_-Royle/isbn-9780124059399/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527a219de4b051792d019641","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandler, Richard B. rchandler@usgs.gov","contributorId":63524,"corporation":false,"usgs":true,"family":"Chandler","given":"Richard","email":"rchandler@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":485308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sollmann, Rahel","contributorId":31667,"corporation":false,"usgs":true,"family":"Sollmann","given":"Rahel","affiliations":[],"preferred":false,"id":485307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":485310,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048749,"text":"70048749 - 2013 - Geomagnetic referencing--the real-time compass for directional drillers","interactions":[],"lastModifiedDate":"2020-07-14T14:48:48.757797","indexId":"70048749","displayToPublicDate":"2013-09-01T15:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2943,"text":"Oilfield Review","active":true,"publicationSubtype":{"id":10}},"title":"Geomagnetic referencing--the real-time compass for directional drillers","docAbstract":"To pinpoint the location and direction of a wellborne, directional driller rely on measurements from accelerometers, magnetometer and gyroscopes. In the past, high-accuracy guidance methods required a halt in drilling to obtain directional measurements. Advances in geomagnetic referencing now allow companies to use real-time data acquired during drilling to accurately potion horizontal wells, decrease well spacing and drill multiple wells from limited surface locations.","language":"English","publisher":"Schlumberger","usgsCitation":"Buchanan, A., Finn, C., Love, J.J., Worthington, E.W., Lawson, F., Maus, S., Okewunmi, S., and Poedjono, B., 2013, Geomagnetic referencing--the real-time compass for directional drillers: Oilfield Review, v. 25, no. 3, p. 32-47.","productDescription":"16 p.","startPage":"32","endPage":"47","numberOfPages":"16","ipdsId":"IP-052299","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":280776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5e96e4b0b290850fbcb0","contributors":{"authors":[{"text":"Buchanan, Andrew","contributorId":90581,"corporation":false,"usgs":true,"family":"Buchanan","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":485564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finn, Carol 0000-0003-3144-1645","orcid":"https://orcid.org/0000-0003-3144-1645","contributorId":13201,"corporation":false,"usgs":true,"family":"Finn","given":"Carol","affiliations":[],"preferred":false,"id":485559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":485558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Worthington, E. William 0000-0002-5879-0477 bworth@usgs.gov","orcid":"https://orcid.org/0000-0002-5879-0477","contributorId":69833,"corporation":false,"usgs":true,"family":"Worthington","given":"E.","email":"bworth@usgs.gov","middleInitial":"William","affiliations":[],"preferred":false,"id":485563,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lawson, Fraser","contributorId":17129,"corporation":false,"usgs":true,"family":"Lawson","given":"Fraser","email":"","affiliations":[],"preferred":false,"id":485560,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maus, Stefan","contributorId":21060,"corporation":false,"usgs":true,"family":"Maus","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":485561,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Okewunmi, Shola","contributorId":48859,"corporation":false,"usgs":true,"family":"Okewunmi","given":"Shola","email":"","affiliations":[],"preferred":false,"id":485562,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poedjono, Benny","contributorId":105218,"corporation":false,"usgs":true,"family":"Poedjono","given":"Benny","email":"","affiliations":[],"preferred":false,"id":485565,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70200748,"text":"70200748 - 2013 - The Anemomilos prediction methodology for Dst","interactions":[],"lastModifiedDate":"2018-10-30T15:39:46","indexId":"70200748","displayToPublicDate":"2013-09-01T15:39:36","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"The Anemomilos prediction methodology for Dst","docAbstract":"<p><span>This paper describes new capabilities for operational geomagnetic&nbsp;</span><span class=\"underlined\">D</span><span>isturbance&nbsp;</span><span class=\"underlined\">s</span><span>torm&nbsp;</span><span class=\"underlined\">t</span><span>ime (Dst) index forecasts. We present a data‐driven, deterministic algorithm called&nbsp;</span><i>Anemomilos</i><span>&nbsp;for forecasting Dst out to a maximum of 6 days for large, medium, and small storms, depending upon transit time to the Earth. This capability is used for operational satellite management and debris avoidance in Low Earth Orbit (LEO).&nbsp;</span><i>Anemomilos</i><span>&nbsp;has a 15 min cadence, 1 h time granularity, 144 h prediction window (+6 days), and up to 1 h latency. A new finding is that nearly all flare events above a certain irradiance threshold, occurring within a defined solar longitude/latitude region and having sufficient estimated liftoff velocity of ejected material, will produce a geoeffective Dst perturbation. Three solar observables are used for operational Dst forecasting: flare magnitude, integrated flare irradiance through time, and event location. Magnitude is a proxy for ejecta quantity or mass and, combined with speed derived from the integrated flare irradiance, represents the kinetic energy. Speed is estimated as the line‐of‐sight velocity for events within 45° radial of solar disk center. Storms resulting from high‐speed streams emanating from coronal holes are not modeled or predicted. A new result is that solar disk, not limb, observable features are used for predictive techniques. Comparisons between&nbsp;</span><i>Anemomilos</i><span>&nbsp;predicted and measured Dst for every hour over 25 months in three continuous time frames between 2001 (high solar activity), 2005 (low solar activity), and 2012 (rising solar activity) are shown. The&nbsp;</span><i>Anemomilos</i><span>&nbsp;operational algorithm was developed for a specific customer use related to thermospheric mass density forecasting. It is an operational space weather technology breakthrough using solar disk observables to predict geomagnetically effective Dst up to several days at 1 h time granularity. Real‐time forecasts are presented at&nbsp;</span><a class=\"linkBehavior\" href=\"http://sol.spacenvironment.net/~sam_ops/index.html?\" data-mce-href=\"http://sol.spacenvironment.net/~sam_ops/index.html\">http://sol.spacenvironment.net/~sam_ops/index.html?</a></p>","language":"English","publisher":"AGU","doi":"10.1002/swe.20094","usgsCitation":"Tobiska, W.K., Knipp, D., Burke, W.J., Bouwer, D., Bailey, J., Odstrcil, D., Hagan, M.P., Gannon, J., and Bowman, B.R., 2013, The Anemomilos prediction methodology for Dst: Space Weather, v. 11, no. 9, p. 490-508, https://doi.org/10.1002/swe.20094.","productDescription":"19 p.","startPage":"490","endPage":"508","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/swe.20094","text":"Publisher Index Page"},{"id":358986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-19","publicationStatus":"PW","scienceBaseUri":"5c10b8c5e4b034bf6a7ecc12","contributors":{"authors":[{"text":"Tobiska, W. K.","contributorId":210274,"corporation":false,"usgs":false,"family":"Tobiska","given":"W.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":750350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knipp, D.","contributorId":210275,"corporation":false,"usgs":false,"family":"Knipp","given":"D.","email":"","affiliations":[],"preferred":false,"id":750351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burke, W. J.","contributorId":210276,"corporation":false,"usgs":false,"family":"Burke","given":"W.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":750352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouwer, D.","contributorId":210277,"corporation":false,"usgs":false,"family":"Bouwer","given":"D.","email":"","affiliations":[],"preferred":false,"id":750353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bailey, J.","contributorId":11981,"corporation":false,"usgs":true,"family":"Bailey","given":"J.","affiliations":[],"preferred":false,"id":750354,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Odstrcil, D.","contributorId":210278,"corporation":false,"usgs":false,"family":"Odstrcil","given":"D.","email":"","affiliations":[],"preferred":false,"id":750355,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hagan, M. P.","contributorId":210279,"corporation":false,"usgs":false,"family":"Hagan","given":"M.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":750356,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gannon, J.","contributorId":52869,"corporation":false,"usgs":true,"family":"Gannon","given":"J.","email":"","affiliations":[],"preferred":false,"id":750357,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bowman, B. R.","contributorId":210280,"corporation":false,"usgs":false,"family":"Bowman","given":"B.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":750358,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70057407,"text":"70057407 - 2013 - Mitigating the effects of landscape development on streams in urbanizing watersheds","interactions":[],"lastModifiedDate":"2014-02-03T11:21:16","indexId":"70057407","displayToPublicDate":"2013-09-01T15:11:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Mitigating the effects of landscape development on streams in urbanizing watersheds","docAbstract":"This collaborative study examined urbanization and impacts on area streams while using the best available sediment and erosion control (S&EC) practices in developing watersheds in Maryland, United States. During conversion of the agricultural and forested watersheds to urban land use, land surface topography was graded and vegetation was removed creating a high potential for sediment generation and release during storm events. The currently best available S&EC facilities were used during the development process to mitigate storm runoff water quality, quantity, and timing before entering area streams. Detailed Geographic Information System (GIS) maps were created to visualize changing land use and S&EC practices, five temporal collections of LiDAR (light detection and ranging) imagery were used to map the changing landscape topography, and streamflow, physical geomorphology, and habitat data were used to assess the ability of the S&EC facilities to protect receiving streams during development. Despite the use of the best available S&EC facilities, receiving streams experienced altered flow, geomorphology, and decreased biotic community health. These impacts on small streams during watershed development affect sediment and nutrient loads to larger downstream aquatic ecosystems such as the Chesapeake Bay.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jawr.12123","usgsCitation":"Hogan, D.M., Jarnagin, S., Loperfido, J.V., and Van Ness, K., 2013, Mitigating the effects of landscape development on streams in urbanizing watersheds: Journal of the American Water Resources Association, v. 50, no. 1, p. 163-178, https://doi.org/10.1111/jawr.12123.","productDescription":"16 p.","startPage":"163","endPage":"178","numberOfPages":"16","ipdsId":"IP-040683","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":279616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279615,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12123"}],"country":"United States","state":"Maryl","county":"Montgomery County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.527376,38.93428 ], [ -77.527376,39.354025 ], [ -76.888361,39.354025 ], [ -76.888361,38.93428 ], [ -77.527376,38.93428 ] ] ] } } ] }","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-09-12","publicationStatus":"PW","scienceBaseUri":"52908b09e4b0bbdcf23f0935","contributors":{"authors":[{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":2299,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":486670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnagin, S. Taylor","contributorId":32816,"corporation":false,"usgs":true,"family":"Jarnagin","given":"S. Taylor","affiliations":[],"preferred":false,"id":486672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loperfido, John V. jloperfido@usgs.gov","contributorId":4324,"corporation":false,"usgs":true,"family":"Loperfido","given":"John","email":"jloperfido@usgs.gov","middleInitial":"V.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":486671,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Ness, Keith","contributorId":46866,"corporation":false,"usgs":true,"family":"Van Ness","given":"Keith","email":"","affiliations":[],"preferred":false,"id":486673,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70112716,"text":"70112716 - 2013 - Ecological prediction with nonlinear multivariate time-frequency functional data models","interactions":[],"lastModifiedDate":"2016-11-22T14:09:39","indexId":"70112716","displayToPublicDate":"2013-09-01T14:03:25","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Ecological prediction with nonlinear multivariate time-frequency functional data models","docAbstract":"Time-frequency analysis has become a fundamental component of many scientific inquiries. Due to improvements in technology, the amount of high-frequency signals that are collected for ecological and other scientific processes is increasing at a dramatic rate. In order to facilitate the use of these data in ecological prediction, we introduce a class of nonlinear multivariate time-frequency functional models that can identify important features of each signal as well as the interaction of signals corresponding to the response variable of interest. Our methodology is of independent interest and utilizes stochastic search variable selection to improve model selection and performs model averaging to enhance prediction. We illustrate the effectiveness of our approach through simulation and by application to predicting spawning success of shovelnose sturgeon in the Lower Missouri River.","language":"English","publisher":"Springer","doi":"10.1007/s13253-013-0142-1","usgsCitation":"Yang, W., Wikle, C.K., Holan, S.H., and Wildhaber, M.L., 2013, Ecological prediction with nonlinear multivariate time-frequency functional data models: Journal of Agricultural, Biological, and Environmental Statistics, v. 18, no. 3, p. 450-474, https://doi.org/10.1007/s13253-013-0142-1.","productDescription":"25 p.","startPage":"450","endPage":"474","numberOfPages":"25","ipdsId":"IP-041815","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":288701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288700,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13253-013-0142-1"}],"country":"United States","otherGeospatial":"Lower Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -101.36,38.0 ], [ -101.36,44.98 ], [ -89.65,44.98 ], [ -89.65,38.0 ], [ -101.36,38.0 ] ] ] } } ] }","volume":"18","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-06-26","publicationStatus":"PW","scienceBaseUri":"53ae7693e4b0abf75cf2bfab","contributors":{"authors":[{"text":"Yang, Wen-Hsi","contributorId":45228,"corporation":false,"usgs":true,"family":"Yang","given":"Wen-Hsi","email":"","affiliations":[],"preferred":false,"id":494856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wikle, Christopher K.","contributorId":55680,"corporation":false,"usgs":true,"family":"Wikle","given":"Christopher","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":494857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holan, Scott H.","contributorId":15878,"corporation":false,"usgs":true,"family":"Holan","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":494855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":494854,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047801,"text":"70047801 - 2013 - Application of uniaxial confining-core clamp with hydrous pyrolysis in petrophysical and geochemical studies of source rocks at various thermal maturities","interactions":[],"lastModifiedDate":"2014-05-30T10:01:39","indexId":"70047801","displayToPublicDate":"2013-09-01T13:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Application of uniaxial confining-core clamp with hydrous pyrolysis in petrophysical and geochemical studies of source rocks at various thermal maturities","docAbstract":"Understanding changes in petrophysical and geochemical parameters during source rock thermal maturation is a critical component in evaluating source-rock petroleum accumulations. Natural core data are preferred, but obtaining cores that represent the same facies of a source rock at different thermal maturities is seldom possible. An alternative approach is to induce thermal maturity changes by laboratory pyrolysis on aliquots of a source-rock sample of a given facies of interest. Hydrous pyrolysis is an effective way to induce thermal maturity on source-rock cores and provide expelled oils that are similar in composition to natural crude oils. However, net-volume increases during bitumen and oil generation result in expanded cores due to opening of bedding-plane partings. Although meaningful geochemical measurements on expanded, recovered cores are possible, the utility of the core for measuring petrophysical properties relevant to natural subsurface cores is not suitable. This problem created during hydrous pyrolysis is alleviated by using a stainless steel uniaxial confinement clamp on rock cores cut perpendicular to bedding fabric. The clamp prevents expansion just as overburden does during natural petroleum formation in the subsurface. As a result, intact cores can be recovered at various thermal maturities for the measurement of petrophysical properties as well as for geochemical analyses. This approach has been applied to 1.7-inch diameter cores taken perpendicular to the bedding fabric of a 2.3- to 2.4-inch thick slab of Mahogany oil shale from the Eocene Green River Formation. Cores were subjected to hydrous pyrolysis at 360 °C for 72 h, which represents near maximum oil generation. One core was heated unconfined and the other was heated in the uniaxial confinement clamp. The unconfined core developed open tensile fractures parallel to the bedding fabric that result in a 38 % vertical expansion of the core. These open fractures did not occur in the confined core, but short, discontinuous vertical fractures on the core periphery occurred as a result of lateral expansion.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Unconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists, American Association of Petroleum Geologists, Society of Petroleum Engineers","doi":"10.1190/urtec2013-267","usgsCitation":"Lewan, M., and Birdwell, J.E., 2013, Application of uniaxial confining-core clamp with hydrous pyrolysis in petrophysical and geochemical studies of source rocks at various thermal maturities, <i>in</i> Unconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013, p. 2565-2572, https://doi.org/10.1190/urtec2013-267.","productDescription":"8 p.","startPage":"2565","endPage":"2572","numberOfPages":"8","ipdsId":"IP-045856","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":287612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287652,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/urtec2013-267"}],"noUsgsAuthors":false,"publicationDate":"2013-09-26","publicationStatus":"PW","scienceBaseUri":"5385b3e9e4b09e18fc023a22","contributors":{"editors":[{"text":"Baez, Luis","contributorId":111487,"corporation":false,"usgs":true,"family":"Baez","given":"Luis","email":"","affiliations":[],"preferred":false,"id":509582,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beeney, Ken","contributorId":112969,"corporation":false,"usgs":true,"family":"Beeney","given":"Ken","email":"","affiliations":[],"preferred":false,"id":509584,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Sonnenberg, Steve","contributorId":112354,"corporation":false,"usgs":true,"family":"Sonnenberg","given":"Steve","affiliations":[],"preferred":false,"id":509583,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Lewan, Michael D. mlewan@usgs.gov","contributorId":940,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael D.","email":"mlewan@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":482997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":482998,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70057613,"text":"70057613 - 2013 - Custom microarray construction and analysis for determining potential biomarkers of subchronic androgen exposure in the Eastern Mosquitofish (<i>Gambusia holbrooki</i>)","interactions":[],"lastModifiedDate":"2015-10-29T10:27:55","indexId":"70057613","displayToPublicDate":"2013-09-01T13:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":956,"text":"BMC Genomics","active":true,"publicationSubtype":{"id":10}},"title":"Custom microarray construction and analysis for determining potential biomarkers of subchronic androgen exposure in the Eastern Mosquitofish (<i>Gambusia holbrooki</i>)","docAbstract":"<h4>Background</h4>\n<p>The eastern mosquitofish (<i>Gambusia holbrooki</i>) has the potential to become a bioindicator organism of endocrine disrupting chemicals (EDCs) due to its androgen-driven secondary sexual characteristics. However, the lack of molecular information on&nbsp;<i>G</i>.&nbsp;<i>holbrooki</i>&nbsp;hinders its use as a bioindicator coupled with biomarker data. While traditional gene-by-gene approaches provide insight for biomarker development, a holistic analysis would provide more rapid and expansive determination of potential biomarkers. The objective of this study was to develop and utilize a mosquitofish microarray to determine potential biomarkers of subchronic androgen exposure. To achieve this objective, two specific aims were developed: 1) Sequence a&nbsp;<i>G</i>.&nbsp;<i>holbrooki</i>&nbsp;cDNA library, and 2) Use microarray analysis to determine genes that are differentially regulated by subchronic androgen exposure in hepatic tissues of 17&beta;-trenbolone (TB) exposed adult female&nbsp;<i>G</i>.&nbsp;<i>holbrooki</i>.</p>\n<h4>Results</h4>\n<p>A normalized library of multiple organs of male and female&nbsp;<i>G</i>.&nbsp;<i>holbrooki</i>&nbsp;was prepared and sequenced by the Illumina GA IIx and Roche 454 XLR70. Over 30,000 genes with e-value&thinsp;&le;&thinsp;10<sup>-4</sup>were annotated and 14,758 of these genes were selected for inclusion on the microarray. Hepatic microarray analysis of adult female&nbsp;<i>G</i>.&nbsp;<i>holbrooki</i>&nbsp;exposed to the vehicle control or 1&nbsp;&mu;g/L of TB (a potent anabolic androgen) revealed 229 genes upregulated and 279 downregulated by TB (one-way ANOVA, p&thinsp;&lt;&thinsp;0.05, FDR &alpha;&thinsp;=&thinsp;0.05, fold change&thinsp;&gt;&thinsp;1.5 and&thinsp;&lt;&thinsp;&minus;1.5). Fifteen gene ontology biological processes were enriched by TB exposure (Fisher&rsquo;s Exact Test, p&thinsp;&lt;&thinsp;0.05). The expression levels of<i>17&beta;</i>-<i>hydroxysteroid dehydrogenase 3</i>&nbsp;and&nbsp;<i>zona pellucida glycoprotein 2</i>&nbsp;were validated by quantitative polymerase chain reaction (qPCR) (Student&rsquo;s t-test, p&thinsp;&lt;&thinsp;0.05).</p>\n<h4>Conclusions</h4>\n<p>Coupling microarray data with phenotypic changes driven by androgen exposure in mosquitofish is key for developing this organism into a bioindicator for EDCs. Future studies using this array will enhance knowledge of the biology and toxicological response of this species. This work provides a foundation of molecular knowledge and tools that can be used to delve further into understanding the biology of&nbsp;<i>G</i>.&nbsp;<i>holbrooki</i>&nbsp;and how this organism can be used as a bioindicator organism for endocrine disrupting pollutants in the environment.</p>","language":"English","publisher":"BioMed Central","doi":"10.1186/1471-2164-14-660","usgsCitation":"Brockmeier, E.K., Yu, F., Amador, D.M., Bargar, T.A., and Denslow, N., 2013, Custom microarray construction and analysis for determining potential biomarkers of subchronic androgen exposure in the Eastern Mosquitofish (<i>Gambusia holbrooki</i>): BMC Genomics, v. 14, no. 660, art660: 11 p., https://doi.org/10.1186/1471-2164-14-660.","productDescription":"art660: 11 p.","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046312","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473560,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/1471-2164-14-660","text":"Publisher Index Page"},{"id":279841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279840,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1186/1471-2164-14-660"}],"volume":"14","issue":"660","noUsgsAuthors":false,"publicationDate":"2013-09-28","publicationStatus":"PW","scienceBaseUri":"5295d10ae4b0becc369c8b12","contributors":{"authors":[{"text":"Brockmeier, Erica K.","contributorId":26619,"corporation":false,"usgs":true,"family":"Brockmeier","given":"Erica","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":486858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yu, Fahong","contributorId":107180,"corporation":false,"usgs":true,"family":"Yu","given":"Fahong","email":"","affiliations":[],"preferred":false,"id":486860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amador, David Moraga","contributorId":18262,"corporation":false,"usgs":true,"family":"Amador","given":"David","email":"","middleInitial":"Moraga","affiliations":[],"preferred":false,"id":486857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bargar, Timothy A. 0000-0001-8588-3436 tbargar@usgs.gov","orcid":"https://orcid.org/0000-0001-8588-3436","contributorId":2450,"corporation":false,"usgs":true,"family":"Bargar","given":"Timothy","email":"tbargar@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":486856,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Denslow, Nancy D.","contributorId":72831,"corporation":false,"usgs":true,"family":"Denslow","given":"Nancy D.","affiliations":[],"preferred":false,"id":486859,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047803,"text":"70047803 - 2013 - A new laboratory approach to shale analysis using NMR relaxometry","interactions":[],"lastModifiedDate":"2014-05-30T10:03:33","indexId":"70047803","displayToPublicDate":"2013-09-01T13:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A new laboratory approach to shale analysis using NMR relaxometry","docAbstract":"<p>Low-field nuclear magnetic resonance (LF-NMR) relaxometry is a non-invasive technique commonly used to assess hydrogen-bearing fluids in petroleum reservoir rocks. Measurements made using LF-NMR provide information on rock porosity, pore-size distributions, and in some cases, fluid types and saturations (Timur, 1967; Kenyon et al., 1986; Straley et al., 1994; Brown, 2001; Jackson, 2001; Kleinberg, 2001; Hurlimann et al., 2002). Recent improvements in LF-NMR instrument electronics have made it possible to apply methods used to measure pore fluids to assess highly viscous and even solid organic phases within reservoir rocks. T<sub>1</sub> and T<sub>2</sub> relaxation responses behave very differently in solids and liquids; therefore the relationship between these two modes of relaxation can be used to differentiate organic phases in rock samples or to characterize extracted organic materials. Using T<sub>1</sub>-T<sub>2</sub> correlation data, organic components present in shales, such as kerogen and bitumen, can be examined in laboratory relaxometry measurements. In addition, implementation of a solid-echo pulse sequence to refocus T<sub>2</sub> relaxation caused by homonuclear dipolar coupling during correlation measurements allows for improved resolution of solid-phase protons.</p>\n<br/>\n<p>LF-NMR measurements of T<sub>1</sub> and T<sub>2</sub> relaxation time distributions were carried out on raw oil shale samples from the Eocene Green River Formation and pyrolyzed samples of these shales processed by hydrous pyrolysis and techniques meant to mimic surface and in-situ retorting. Samples processed using the In Situ Simulator approach ranged from bitumen and early oil generation through to depletion of petroleum generating potential. The standard T<sub>1</sub>-T<sub>2</sub> correlation plots revealed distinct peaks representative of solid- and liquid-like organic phases; results on the pyrolyzed shales reflect changes that occurred during thermal processing. The solid-echo T<sub>1</sub> and T<sub>2</sub> measurements were used to improve assessment of the solid organic phases, specifically kerogen, thermally degraded kerogen, and char. Integrated peak areas from the LF-NMR results representative of kerogen and bitumen were found to be well correlated with S1 and S2 parameters from Rock-Eval programmed pyrolysis. This study demonstrates that LFNMR relaxometry can provide a wide range of information on shales and other reservoir rocks that goes well beyond porosity and pore-fluid analysis.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Unconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists, American Association of Petroleum Geologists, Society of Petroleum Engineers","doi":"10.1190/urtec2013-181","usgsCitation":"Washburn, K.E., and Birdwell, J.E., 2013, A new laboratory approach to shale analysis using NMR relaxometry, <i>in</i> Unconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013, p. 1775-1782, https://doi.org/10.1190/urtec2013-181.","productDescription":"8 p.","startPage":"1775","endPage":"1782","numberOfPages":"8","ipdsId":"IP-045895","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":287609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287656,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/urtec2013-181"}],"noUsgsAuthors":false,"publicationDate":"2013-09-26","publicationStatus":"PW","scienceBaseUri":"5385b3e5e4b09e18fc023a10","contributors":{"editors":[{"text":"Baez, Luis","contributorId":111487,"corporation":false,"usgs":true,"family":"Baez","given":"Luis","email":"","affiliations":[],"preferred":false,"id":509585,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beeney, Ken","contributorId":112969,"corporation":false,"usgs":true,"family":"Beeney","given":"Ken","email":"","affiliations":[],"preferred":false,"id":509587,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Sonnenberg, Steve","contributorId":112354,"corporation":false,"usgs":true,"family":"Sonnenberg","given":"Steve","affiliations":[],"preferred":false,"id":509586,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Washburn, Kathryn E.","contributorId":76644,"corporation":false,"usgs":false,"family":"Washburn","given":"Kathryn","email":"","middleInitial":"E.","affiliations":[{"id":7152,"text":"Weatherford International","active":true,"usgs":false}],"preferred":false,"id":483000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":482999,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}