{"pageNumber":"591","pageRowStart":"14750","pageSize":"25","recordCount":46681,"records":[{"id":70042679,"text":"fs20133003 - 2013 - What is the economic value of satellite imagery?","interactions":[],"lastModifiedDate":"2013-01-17T10:50:06","indexId":"fs20133003","displayToPublicDate":"2013-01-17T00:00:00","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":"2013-3003","title":"What is the economic value of satellite imagery?","docAbstract":"Does remote-sensing information, such as that from Landsat and similar Earth-observing satellites, provide economic benefits to society, and can this value be estimated? Using satellite data for northeastern Iowa, U.S. Geological Survey scientists modeled the relations among land uses, agricultural production, and dynamic nitrate (NO3-) contamination of aquifers. They demonstrated that information from such modeling can allow more efficient management of agricultural production without sacrificing groundwater quality. Just for northeastern Iowa, the value of such remote-sensing information was shown to be as much as $858 million ± $197 million per year, which corresponds to a current value of $38.1 billion ± $8.8 billion for that flow of benefits into the foreseeable future.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133003","usgsCitation":"Raunikar, R.P., Forney, W.M., and Benjamin, S.P., 2013, What is the economic value of satellite imagery?: U.S. Geological Survey Fact Sheet 2013-3003, 2 p., https://doi.org/10.3133/fs20133003.","productDescription":"2 p.","additionalOnlineFiles":"N","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":265801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2013_3003.gif"},{"id":265799,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3003/"},{"id":265800,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3003/fs2013-3003.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d72e4b0727905955f28","contributors":{"authors":[{"text":"Raunikar, Ronald P.","contributorId":101535,"corporation":false,"usgs":true,"family":"Raunikar","given":"Ronald","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":472042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forney, William M.","contributorId":43490,"corporation":false,"usgs":true,"family":"Forney","given":"William","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":472041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benjamin, Susan P. sbenjamin@usgs.gov","contributorId":354,"corporation":false,"usgs":true,"family":"Benjamin","given":"Susan","email":"sbenjamin@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":472040,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042680,"text":"ofr20131016 - 2013 - Hydraulic and Geomorphic Assessment of the Merced River and Historic Bridges in Eastern Yosemite Valley, Yosemite National Park, California: Sacramento, California","interactions":[],"lastModifiedDate":"2013-01-17T11:03:32","indexId":"ofr20131016","displayToPublicDate":"2013-01-17T00:00:00","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":"2013-1016","title":"Hydraulic and Geomorphic Assessment of the Merced River and Historic Bridges in Eastern Yosemite Valley, Yosemite National Park, California: Sacramento, California","docAbstract":"The Merced River in the popular and picturesque eastern-most part of Yosemite Valley in Yosemite National Park, California, USA, has been extensively altered since the park was first conceived in 1864. Historical human trampling of streambanks has been suggested as the cause of substantial increases in stream width, and the construction of undersized stone bridges in the 1920s has been suggested as the major factor leading to an increase in overbank flooding due to deposition of bars and islands between the bridges. In response, the National Park Service at Yosemite National Park (YNP) requested a study of the hydraulic and geomorphic conditions affecting the most-heavily influenced part of the river, a 2.4-km reach in eastern Yosemite Valley extending from above the Tenaya Creek and Merced River confluence to below Housekeeping Bridge. As part of the study, present-day conditions were compared to historical conditions and several possible planning scenarios were investigated, including the removal of an elevated road berm and the removal of three undersized historic stone bridges identified by YNP as potential problems: Sugar Pine, Ahwahnee and Stoneman Bridges. This Open-File Report will be superseded at a later date by a Scientific Investigations Report. A two-dimensional hydrodynamic model, the USGS FaSTMECH (Flow and Sediment Transport with Morphological Evolution of Channels) model, within the USGS International River Interface Cooperative (iRIC) model framework, was used to compare the scenarios over a range of discharges with annual exceedance probabilities of 50-, 20-, 10-, and 5- percent. A variety of topographic and hydraulic data sources were used to create the input conditions to the hydrodynamic model, including aerial LiDAR (Light Detection And Ranging), ground-based LiDAR, total station survey data, and grain size data from pebble counts. A digitized version of a historical topographic map created by the USGS in 1919, combined with estimates of grain size, was used to simulate historical conditions, and the planning scenarios were developed by altering the present-day topography. Roughness was estimated independently of measured water-surface elevations by using the mapped grain-size data and the Keulegan relation of grain size to drag coefficient. The FaSTMECH hydrodynamic model was evaluated against measured water levels by using a 130.9 m<sup>3</sup> s<sup>-1</sup> flow (approximately a 33-percent annual exceedance probability flood) with 36 water-surface elevations measured by YNP personnel on June 8, 2010. This evaluation run had a root mean square error of 0.21 m between the simulated- and observed water-surface elevations (less than 10 percent of depth), though the observed water-surface elevations had relatively high variation due to the strong diurnal stage changes over the course of the 4.4-hour collection period, during which discharge varied by about 15 percent. There are presently no velocity data with which to test the model. A geomorphic assessment was performed that consisted of an estimate of the magnitude and frequency of bedload and suspended-sediment transport at “Tenaya Bar”, an important gravel-cobble bar located near the upstream end of the study site that determines the amount of flow across the floodplain at the Sugar Pine – Ahwahnee bend. An analysis of select repeat cross-sections collected by YNP since the late 1980s was done to investigate changes in channel cross-sectional area near the Tenaya Bar site. The results of the FaSTMECH models indicate that the maximum velocities in the present-day channel within the study reach are associated with Stoneman and Sugar Pine Bridges, at close to 3.0 m s<sup>-1</sup> for the 5-percent annual exceedance probability flood. The modeled maximum velocities at Ahwahnee Bridge are comparatively low, at between 1.5 and 2.0 m s<sup>-1</sup>, most likely due to the bridge's orientation parallel to down-valley floodplain flows. The results of the FaSTMECH models for the bridge removal scenarios indicate a reduction in average velocity at the bridge sites for the range of flows by approximately 23-38 percent (Sugar Pine Bridge), 32-42 percent (Ahwahnee Bridge), and 33-39 percent (Stoneman Bridge), though a side channel of concern to YNP management did not appear to be substantially affected by the removal scenarios. In comparison to the historical data, the FaSTMECH results suggest that flows for present-day conditions do not inundate the floodplain until between the 50- and 20-percent annual exceedance probability flood, whereas historically, a large portion of the floodplain was inundated during the 50-percent annual exceedance probability flood. Modeled maximum velocities in the present-day channel commonly exceed 2.0 m s<sup>-1</sup>, whereas with the historical scenario, modeled maximum in-channel velocities rarely exceeded 2.0 m s<sup>-1</sup>. The geomorphic analysis of the magnitude-frequency of bedload and suspended-sediment transport suggests that at the important Tenaya Bar site, the majority of bed sediment is mobile during most snowmelt-dominated floods. In contrast to sediment transport capacity, the analysis of repeat cross-sections suggests that bedload sediment supply into the eastern Yosemite Valley may be quite different between rain-on-snow floods and snowmelt-dominated floods, potentially with most sediment supply occurring during rain-on-snow floods, such as the 1997 flood. In contrast, the magnitude-frequency analysis of bedload and suspended-sediment transport suggests that long-term bedload sediment transport is likely dominated by snowmelt floods, and suspended-sediment transport is relatively low compared to bedload transport. Obtaining measured velocity data throughout the study reach would aid in model calibration, and thus would improve confidence in model results. Improved confidence in the model velocity results would allow additional substantial analyses of reach-scale effects of the planning scenarios and would enable the development of geomorphic models to evaluate the long-term geomorphic responses of the site. In addition, the collection of watershed sediment-supply data, about which little is presently known, would give planners helpful tools to plan restoration scenarios for this nationally important river.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131016","usgsCitation":"Minear, J., and Wright, S., 2013, Hydraulic and Geomorphic Assessment of the Merced River and Historic Bridges in Eastern Yosemite Valley, Yosemite National Park, California: Sacramento, California: U.S. Geological Survey Open-File Report 2013-1016, ix, 79 p., https://doi.org/10.3133/ofr20131016.","productDescription":"ix, 79 p.","numberOfPages":"88","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":265804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1016.jpg"},{"id":265802,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1016/"},{"id":265803,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1016/pdf/ofr2013-1016.pdf"}],"country":"United States","state":"California","otherGeospatial":"Illilouette Creek;Tenaya Creek;Upper Merced;Yosemite Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.7,37.639 ], [ -119.7,37.816 ], [ -119.35,37.816 ], [ -119.35,37.639 ], [ -119.7,37.639 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d6de4b0727905955f14","contributors":{"authors":[{"text":"Minear, J. Toby","contributorId":9938,"corporation":false,"usgs":true,"family":"Minear","given":"J. Toby","affiliations":[],"preferred":false,"id":472044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472043,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042685,"text":"sir20125263 - 2013 - Hydrogeologic framework, hydrology, and water quality in the Pearce Creek Dredge Material Containment Area and vicinity, Cecil County, Maryland, 2010-11","interactions":[],"lastModifiedDate":"2023-03-09T20:15:36.375142","indexId":"sir20125263","displayToPublicDate":"2013-01-17T00:00:00","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":"2012-5263","title":"Hydrogeologic framework, hydrology, and water quality in the Pearce Creek Dredge Material Containment Area and vicinity, Cecil County, Maryland, 2010-11","docAbstract":"In 2009, to support an evaluation of the feasibility of reopening the Pearce Creek Dredge Material Containment Area (DMCA) in Cecil County, Maryland, for dredge-spoil disposal, the U.S. Geological Survey (USGS) began to implement a comprehensive study designed to improve the understanding of the hydrogeologic framework, hydrology, and water quality of shallow aquifers underlying the DMCA and adjacent communities, to determine whether or not the DMCA affected groundwater quality, and to assess whether or not groundwater samples contained chemical constituents at levels greater than maximum allowable or recommended levels established by the U.S. Environmental Protection Agency Safe Drinking Water Act. The study, conducted in 2010-11 by USGS in cooperation with the U.S. Army Corps of Engineers, included installation of observation wells in areas where data gaps led earlier studies to be inconclusive. The data from new wells and existing monitoring locations were interpreted and show the DMCA influences the groundwater flow and quality. Groundwater flow in the two primary aquifers used for local supplies-the Magothy aquifer and upper Patapsco aquifer (shallow water-bearing zone)-is radially outward from the DMCA toward discharge areas, including West View Shores, the Elk River, and Pearce Creek Lake. In addition to horizontal flow outward from the DMCA, vertical gradients primarily are downward in most of the study area, and upward near the Elk River on the north side of the DMCA property, and the western part of West View Shores. Integrating groundwater geochemistry data in the analysis, the influence of the DMCA is not only a source of elevated concentrations of dissolved solids but also a geochemical driver of redox processes that enhances the mobilization and transport of redox-sensitive metals and nutrients. Groundwater affected by the DMCA is in the Magothy aquifer and upper Patapsco aquifer (shallow water-bearing zone). Based on minimal data, the water quality in the upper Patapsco aquifer deep water-bearing zone does not seem to have been impacted by the DMCA.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125263","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Dieter, C.A., Koterba, M.T., Zapecza, O.S., Walker, C., and Rice, D.E., 2013, Hydrogeologic framework, hydrology, and water quality in the Pearce Creek Dredge Material Containment Area and vicinity, Cecil County, Maryland, 2010-11: U.S. Geological Survey Scientific Investigations Report 2012-5263, Report: xiii, 219 p.; Appendix, https://doi.org/10.3133/sir20125263.","productDescription":"Report: xiii, 219 p.; Appendix","numberOfPages":"238","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":265813,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5263.gif"},{"id":265811,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5263/sir12_5263.pdf"},{"id":265812,"rank":1,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5263/downloads/append_B_tables.xlsx"},{"id":265810,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5263/"}],"scale":"1000000","projection":"Universal Mercator projection, Zone 18N","datum":"North American Datum 1983","country":"United States","state":"Maryl","county":"Cecil County","otherGeospatial":"Pearce Creek Dredge Material Containment Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.45,39.00 ], [ -75.45,39.78 ], [ -77.00,39.78 ], [ -77.00,39.00 ], [ -75.45,39.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d6ee4b0727905955f18","contributors":{"authors":[{"text":"Dieter, Cheryl A. 0000-0002-5786-4091 cadieter@usgs.gov","orcid":"https://orcid.org/0000-0002-5786-4091","contributorId":2058,"corporation":false,"usgs":true,"family":"Dieter","given":"Cheryl","email":"cadieter@usgs.gov","middleInitial":"A.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koterba, Michael T.","contributorId":70419,"corporation":false,"usgs":true,"family":"Koterba","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":472059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zapecza, Otto S. ozapecza@usgs.gov","contributorId":3687,"corporation":false,"usgs":true,"family":"Zapecza","given":"Otto","email":"ozapecza@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":472057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Charles W.","contributorId":56948,"corporation":false,"usgs":true,"family":"Walker","given":"Charles W.","affiliations":[],"preferred":false,"id":472058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rice, Donald E.","contributorId":70440,"corporation":false,"usgs":true,"family":"Rice","given":"Donald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":472060,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042686,"text":"tm11C7 - 2013 - Landsat surface reflectance quality assurance extraction (version 1.7)","interactions":[],"lastModifiedDate":"2017-03-29T14:30:20","indexId":"tm11C7","displayToPublicDate":"2013-01-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-C7","title":"Landsat surface reflectance quality assurance extraction (version 1.7)","docAbstract":"The U.S. Geological Survey (USGS) Land Remote Sensing Program is developing an operational capability to produce Climate Data Records (CDRs) and Essential Climate Variables (ECVs) from the Landsat Archive to support a wide variety of science and resource management activities from regional to global scale. The USGS Earth Resources Observation and Science (EROS) Center is charged with prototyping systems and software to generate these high-level data products. Various USGS Geographic Science Centers are charged with particular ECV algorithm development and (or) selection as well as the evaluation and application demonstration of various USGS CDRs and ECVs. Because it is a foundation for many other ECVs, the first CDR in development is the Landsat Surface Reflectance Product (LSRP). The LSRP incorporates data quality information in a bit-packed structure that is not readily accessible without postprocessing services performed by the user. This document describes two general methods of LSRP quality-data extraction for use in image processing systems. Helpful hints for the installation and use of software originally developed for manipulation of Hierarchical Data Format (HDF) produced through the National Aeronautics and Space Administration (NASA) Earth Observing System are first provided for users who wish to extract quality data into separate HDF files. Next, steps follow to incorporate these extracted data into an image processing system. Finally, an alternative example is illustrated in which the data are extracted within a particular image processing system.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section C: Geographic Information Systems tools and applications in Book 11 <i>Collection and Delineation of Spatial Data</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11C7","usgsCitation":"Jones, J.W., Starbuck, M., and Jenkerson, C.B., 2013, Landsat surface reflectance quality assurance extraction (version 1.7): U.S. Geological Survey Techniques and Methods 11-C7, iv, 9 p., https://doi.org/10.3133/tm11C7.","productDescription":"iv, 9 p.","numberOfPages":"15","onlineOnly":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":265816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_11_c7.gif"},{"id":265814,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/11/c07/"},{"id":265815,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11/c07/pdf/tm11-c7.pdf"}],"country":"United States","publicComments":"This report is Chapter 7 of Section C: Geographic Information Systems tools and applications in Book 11 <i>Collection and Delineation of Spatial Data</i>.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d6fe4b0727905955f1c","contributors":{"authors":[{"text":"Jones, J. W.","contributorId":89233,"corporation":false,"usgs":true,"family":"Jones","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":472063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starbuck, M.J.","contributorId":86243,"corporation":false,"usgs":true,"family":"Starbuck","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":472062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkerson, Calli B. 0000-0002-3780-9175","orcid":"https://orcid.org/0000-0002-3780-9175","contributorId":24958,"corporation":false,"usgs":true,"family":"Jenkerson","given":"Calli","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":472061,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042674,"text":"tm11C8 - 2013 - User’s manual to update the National Wildlife Refuge System Water Quality Information System (WQIS)","interactions":[],"lastModifiedDate":"2016-12-05T13:26:32","indexId":"tm11C8","displayToPublicDate":"2013-01-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-C8","title":"User’s manual to update the National Wildlife Refuge System Water Quality Information System (WQIS)","docAbstract":"National Wildlife Refuges may have impaired water quality resulting from historic and current land uses, upstream sources, and aerial pollutant deposition. National Wildlife Refuge staff have limited time available to identify and evaluate potential water quality issues. As a result, water quality–related issues may not be resolved until a problem has already arisen. The National Wildlife Refuge System Water Quality Information System (WQIS) is a relational database developed for use by U.S. Fish and Wildlife Service staff to identify existing water quality issues on refuges in the United States. The WQIS database relies on a geospatial overlay analysis of data layers for ownership, streams and water quality. The WQIS provides summary statistics of 303(d) impaired waters and total maximum daily loads for the National Wildlife Refuge System at the national, regional, and refuge level. The WQIS allows U.S. Fish and Wildlife Service staff to be proactive in addressing water quality issues by identifying and understanding the current extent and nature of 303(d) impaired waters and subsequent total maximum daily loads. Water quality data are updated bi-annually, making it necessary to refresh the WQIS to maintain up-to-date information. This manual outlines the steps necessary to update the data and reports in the WQIS.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section C: Geographic Information Systems tools and applications in Book 11 <i>Collection and Delineation of Spatial Data</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11C8","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service. This report is Chapter 8 of Section C: Geographic Information Systems tools and applications in Book 11 <i>Collection and Delineation of Spatial Data</i>.","usgsCitation":"Chojnacki, K.A., Vishy, C., Hinck, J.E., Finger, S.E., Higgins, M.J., and Kilbride, K., 2013, User’s manual to update the National Wildlife Refuge System Water Quality Information System (WQIS): U.S. Geological Survey Techniques and Methods 11-C8, iv, 24 p., https://doi.org/10.3133/tm11C8.","productDescription":"iv, 24 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-042181","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":265788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_11_c8.gif"},{"id":265786,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/11c8/"},{"id":265787,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11c8/TM11C8.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d71e4b0727905955f24","contributors":{"authors":[{"text":"Chojnacki, Kimberly A. kchojnacki@usgs.gov","contributorId":1978,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Kimberly","email":"kchojnacki@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":472027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vishy, Chad J.","contributorId":45601,"corporation":false,"usgs":true,"family":"Vishy","given":"Chad J.","affiliations":[],"preferred":false,"id":472029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":38507,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"","middleInitial":"Ellen","affiliations":[],"preferred":false,"id":472028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finger, Susan E. sfinger@usgs.gov","contributorId":1317,"corporation":false,"usgs":true,"family":"Finger","given":"Susan","email":"sfinger@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":472026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Higgins, Michael J.","contributorId":86662,"corporation":false,"usgs":true,"family":"Higgins","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":472030,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kilbride, Kevin","contributorId":88234,"corporation":false,"usgs":true,"family":"Kilbride","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":472031,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70073366,"text":"70073366 - 2013 - Historic distribution of Common Loons in Wisconsin in relation to changes in lake characteristics and surrounding land use","interactions":[],"lastModifiedDate":"2014-01-27T10:39:55","indexId":"70073366","displayToPublicDate":"2013-01-16T11:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Historic distribution of Common Loons in Wisconsin in relation to changes in lake characteristics and surrounding land use","docAbstract":"A study was conducted to evaluate changes in water quality and land-use change associated with \nlakes that are south of the current breeding range of Common Loons in Wisconsin but that historically \nsupported breeding loons. Museum collection records and published accounts were examined to \nidentify lakes in southern Wisconsin with a former history of loon nesting activity. Historical and recent \nwater quality data were obtained from state and USEPA databases for the former loon nesting lakes that \nwere identified and paleolimnological data were acquired for these lakes from sediment cores used to \ninfer historical total phosphorus concentrations from diatom assemblages. U.S. General Land Office \nnotes and maps from the original land survey conducted in Wisconsin during 1832-1866 and the \nNational Land Cover Database 2006 were utilized to assess land use changes that occurred within the \ndrainage basins of former loon nesting lakes. Our results indicate that the landscape of southern \nWisconsin has changed dramatically since Common Loons last nested in the region. A number of \nfactors have likely contributed to the decreased appeal of southern Wisconsin lakes to breeding \nCommon Loons, including changes to water quality, altered trophic status resulting from nutrient \nenrichment, and reductions in suitable nesting habitat stemming from shoreline development and altered \nwater levels. Increased nutrient and sediment inputs from agricultural and developed areas likely \ncontributed to a reduction in habitat quality.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Potential effects of climate change on inland glacial lakes and implications for lake dependent biota in Wisconsin","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Focus on Energy","usgsCitation":"Kenow, K.P., Garrison, P.J., Fox, T.J., and Meyer, M., 2013, Historic distribution of Common Loons in Wisconsin in relation to changes in lake characteristics and surrounding land use, chap. <i>of</i> Potential effects of climate change on inland glacial lakes and implications for lake dependent biota in Wisconsin, p. 89-108.","productDescription":"20 p.","startPage":"89","endPage":"108","numberOfPages":"20","ipdsId":"IP-043110","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":281553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.8894,42.4919 ], [ -92.8894,47.0807 ], [ -86.764,47.0807 ], [ -86.764,42.4919 ], [ -92.8894,42.4919 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd609ce4b0b290850fd075","contributors":{"authors":[{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":488640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrison, Paul J.","contributorId":73193,"corporation":false,"usgs":true,"family":"Garrison","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":488642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fox, Timothy J. 0000-0002-6167-3001 tfox@usgs.gov","orcid":"https://orcid.org/0000-0002-6167-3001","contributorId":1701,"corporation":false,"usgs":true,"family":"Fox","given":"Timothy","email":"tfox@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":488639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer, Michael W.","contributorId":38943,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael W.","affiliations":[],"preferred":false,"id":488641,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70072108,"text":"70072108 - 2013 - A framework for quantitative assessment of impacts related to energy and mineral resource development","interactions":[],"lastModifiedDate":"2018-10-11T16:41:52","indexId":"70072108","displayToPublicDate":"2013-01-15T12:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"A framework for quantitative assessment of impacts related to energy and mineral resource development","docAbstract":"Natural resource planning at all scales demands methods for assessing the impacts of resource development and use, and in particular it requires standardized methods that yield robust and unbiased results. Building from existing probabilistic methods for assessing the volumes of energy and mineral resources, we provide an algorithm for consistent, reproducible, quantitative assessment of resource development impacts. The approach combines probabilistic input data with Monte Carlo statistical methods to determine probabilistic outputs that convey the uncertainties inherent in the data. For example, one can utilize our algorithm to combine data from a natural gas resource assessment with maps of sage grouse leks and piñon-juniper woodlands in the same area to estimate possible future habitat impacts due to possible future gas development. As another example: one could combine geochemical data and maps of lynx habitat with data from a mineral deposit assessment in the same area to determine possible future mining impacts on water resources and lynx habitat. The approach can be applied to a broad range of positive and negative resource development impacts, such as water quantity or quality, economic benefits, or air quality, limited only by the availability of necessary input data and quantified relationships among geologic resources, development alternatives, and impacts. The framework enables quantitative evaluation of the trade-offs inherent in resource management decision-making, including cumulative impacts, to address societal concerns and policy aspects of resource development.","language":"English","publisher":"Springer","doi":"10.1007/s11053-013-9208-6","usgsCitation":"Haines, S.S., Diffendorfer, J., Balistrieri, L.S., Berger, B.R., Cook, T.A., Gautier, D.L., Gallegos, T.J., Gerritsen, M., Graffy, E., Hawkins, S., Johnson, K., Macknick, J., McMahon, P., Modde, T., Pierce, B., Schuenemeyer, J.H., Semmens, D., Simon, B., Taylor, J., and Walton-Day, K., 2013, A framework for quantitative assessment of impacts related to energy and mineral resource development: Natural Resources Research, v. 23, no. 1, p. 3-17, https://doi.org/10.1007/s11053-013-9208-6.","productDescription":"15 p.","startPage":"3","endPage":"17","numberOfPages":"15","ipdsId":"IP-044330","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":473974,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11053-013-9208-6","text":"Publisher Index Page"},{"id":281091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281059,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11053-013-9208-6"}],"volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"53cd49d6e4b0b290850ef690","contributors":{"authors":[{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, James","contributorId":35610,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James","affiliations":[],"preferred":false,"id":488490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":488483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berger, Byron R. bberger@usgs.gov","contributorId":1490,"corporation":false,"usgs":true,"family":"Berger","given":"Byron","email":"bberger@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":488484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":488494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gautier, Donald L. gautier@usgs.gov","contributorId":1310,"corporation":false,"usgs":true,"family":"Gautier","given":"Donald","email":"gautier@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":488481,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gallegos, Tanya J. 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":2206,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":488485,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gerritsen, Margot","contributorId":94213,"corporation":false,"usgs":true,"family":"Gerritsen","given":"Margot","email":"","affiliations":[],"preferred":false,"id":488499,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Graffy, Elisabeth","contributorId":12777,"corporation":false,"usgs":true,"family":"Graffy","given":"Elisabeth","affiliations":[],"preferred":false,"id":488487,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hawkins, Sarah 0000-0002-1878-9121","orcid":"https://orcid.org/0000-0002-1878-9121","contributorId":33217,"corporation":false,"usgs":true,"family":"Hawkins","given":"Sarah","affiliations":[],"preferred":false,"id":488489,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johnson, Kathleen","contributorId":59346,"corporation":false,"usgs":true,"family":"Johnson","given":"Kathleen","affiliations":[],"preferred":false,"id":488496,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Macknick, Jordan","contributorId":45623,"corporation":false,"usgs":true,"family":"Macknick","given":"Jordan","email":"","affiliations":[],"preferred":false,"id":488492,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McMahon, Peter","contributorId":80181,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","affiliations":[],"preferred":false,"id":488498,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Modde, Tim","contributorId":48091,"corporation":false,"usgs":true,"family":"Modde","given":"Tim","email":"","affiliations":[],"preferred":false,"id":488493,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Pierce, Brenda","contributorId":29940,"corporation":false,"usgs":true,"family":"Pierce","given":"Brenda","affiliations":[],"preferred":false,"id":488488,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schuenemeyer, John H.","contributorId":54227,"corporation":false,"usgs":true,"family":"Schuenemeyer","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":488495,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Semmens, Darius J. 0000-0001-7924-6529","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":64201,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":488497,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Simon, Benjamin","contributorId":9174,"corporation":false,"usgs":true,"family":"Simon","given":"Benjamin","affiliations":[],"preferred":false,"id":488486,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Taylor, Jason","contributorId":40120,"corporation":false,"usgs":true,"family":"Taylor","given":"Jason","affiliations":[],"preferred":false,"id":488491,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":1245,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":488480,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70068734,"text":"70068734 - 2013 - Relating hyporheic fluxes, residence times, and redox-sensitive biogeochemical processes upstream of beaver dams","interactions":[],"lastModifiedDate":"2014-01-13T11:02:34","indexId":"70068734","displayToPublicDate":"2013-01-15T10:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Relating hyporheic fluxes, residence times, and redox-sensitive biogeochemical processes upstream of beaver dams","docAbstract":"Abstract. Small dams enhance the development of patchy microenvironments along stream corridors by trapping sediment and creating complex streambed morphologies. This patchiness drives intricate hyporheic flux patterns that govern the exchange of O<sub>2</sub> and redox-sensitive solutes between the water column and the stream bed. We used multiple tracer techniques, naturally occurring and injected, to evaluate hyporheic flow dynamics and associated biogeochemical cycling and microbial reactivity around 2 beaver dams in Wyoming (USA). High-resolution fiber-optic distributed temperature sensing was used to collect temperature data over 9 vertical streambed profiles and to generate comprehensive vertical flux maps using 1-dimensional (1-D) heat-transport modeling. Coincident with these locations, vertical profiles of hyporheic water were collected every week and analyzed for dissolved O<sub>2</sub>, pH, dissolved organic C, and several conservative and redox-sensitive solutes. In addition, hyporheic and net stream aerobic microbial reactivity were analyzed with a constant-rate injection of the biologically sensitive resazurin (Raz) smart tracer. The combined results revealed a heterogeneous system with rates of downwelling hyporheic flow organized by morphologic unit and tightly coupled to the redox conditions of the subsurface. Principal component analysis was used to summarize the variability of all redox-sensitive species, and results indicated that hyporheic water varied from oxic-stream-like to anoxic-reduced in direct response to the hydrodynamic conditions and associated residence times. The anaerobic transition threshold predicted by the mean O<sub>2</sub> Damko\n¨hler number seemed to overestimate the actual transition as indicated by multiple secondary electron acceptors, illustrating the gradient nature of anaerobic transition. Temporal flux variability in low-flux morphologies generated a much greater range in hyporheic redox conditions compared to high-flux zones, and chemical responses to changing flux rates were consistent with those predicted from the empirical relationship between redox condition and residence time. The Raz tracer revealed that hyporheic flow paths have strong net aerobic respiration, particularly at higher residence time, but this reactive exchange did not affect the net stream signal at the reach scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Society for Freshwater Science","doi":"10.1899/12-110.1","usgsCitation":"Briggs, M., Lautz, L., and Hare, D.K., 2013, Relating hyporheic fluxes, residence times, and redox-sensitive biogeochemical processes upstream of beaver dams: Freshwater Science, v. 32, no. 2, p. 622-641, https://doi.org/10.1899/12-110.1.","productDescription":"20 p.","startPage":"622","endPage":"641","ipdsId":"IP-042978","costCenters":[],"links":[{"id":280858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280842,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/12-110.1"}],"volume":"32","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7011e4b0b29085106d14","contributors":{"authors":[{"text":"Briggs, Martin A.","contributorId":10321,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[],"preferred":false,"id":488079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lautz, Laura","contributorId":59344,"corporation":false,"usgs":true,"family":"Lautz","given":"Laura","affiliations":[],"preferred":false,"id":488080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hare, Danielle K.","contributorId":76222,"corporation":false,"usgs":true,"family":"Hare","given":"Danielle","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":488081,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042590,"text":"fs20133002 - 2013 - Extreme drought: summary of hydrologic conditions in Georgia, 2011","interactions":[],"lastModifiedDate":"2016-12-07T11:34:16","indexId":"fs20133002","displayToPublicDate":"2013-01-14T00:00:00","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":"2013-3002","title":"Extreme drought: summary of hydrologic conditions in Georgia, 2011","docAbstract":"The United States Geological Survey (USGS) Georgia Water Science Center (GaWSC) maintains a long-term hydrologic monitoring network of more than 320 realtime streamgages, including 10 real-time lake-level monitoring stations and 63 realtime water-quality monitors. Additionally, the GaWSC operates more than 180 groundwater wells, 35 of which are real-time. One of the many benefits from this monitoring network is that the data analyses provide an overview of the hydrologic conditions of rivers, creeks, reservoirs, and aquifers in Georgia.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133002","collaboration":"This Web-only publication is available in pdf format in two sizes: (A) 8 1/2 by 11 inches (5 Mb) and (B) 11 by 25.5 inches (5 Mb). 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,{"id":70042504,"text":"sir20125195 - 2013 - Application of sediment characteristics and transport conditions to resource management in selected main-stem reaches of the Upper Colorado River, Colorado and Utah, 1965-2007","interactions":[],"lastModifiedDate":"2013-01-10T08:32:16","indexId":"sir20125195","displayToPublicDate":"2013-01-10T00:00:00","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":"2012-5195","title":"Application of sediment characteristics and transport conditions to resource management in selected main-stem reaches of the Upper Colorado River, Colorado and Utah, 1965-2007","docAbstract":"The Colorado River Basin provides habitat for 14 native fish, including 4 endangered species protected under the Federal Endangered Species Act of 1973. These endangered fish species once thrived in the Colorado River system, but water-resource development, including the building of numerous diversion dams and several large reservoirs, and the introduction of non-native fish, resulted in large reductions in the numbers and range of the four species through loss of habitat and stream function. Understanding how stream conditions and habitat change in response to alterations in streamflow is important for water administrators and wildlife managers and can be determined from an understanding of sediment transport. Characterization of the processes that are controlling sediment transport is an important first step in identifying flow regimes needed for restored channel morphology and the sustained recovery of endangered fishes within these river systems. The U.S. Geological Survey, in cooperation with the Upper Colorado River Endangered Fish Recovery Program, Bureau of Reclamation, U.S. Fish and Wildlife Service, Argonne National Laboratory, Western Area Power Administration, and Wyoming State Engineer’s Office, began a study in 2004 to characterize sediment transport at selected locations on the Colorado, Gunnison, and Green Rivers to begin addressing gaps in existing datasets and conceptual models of the river systems. This report identifies and characterizes the relation between streamflow (magnitude and timing) and sediment transport and presents the findings through discussions of (1) suspended-sediment transport, (2) incipient motion of streambed material, and (3) a case study of sediment-transport conditions for a reach of the Green River identified as a razorback sucker spawning habitat (See report for full abstract).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125195","collaboration":"Prepared in cooperation with the Upper Colorado River Endangered Fish Recovery Program, Bureau of Reclamation, U.S. Fish and Wildlife Service, Argonne National Laboratory, Western Area Power Administration, and Wyoming State Engineer’s Office","usgsCitation":"Williams, C.A., Schaffrath, K.R., Elliott, J.G., and Richards, R.J., 2013, Application of sediment characteristics and transport conditions to resource management in selected main-stem reaches of the Upper Colorado River, Colorado and Utah, 1965-2007: U.S. Geological Survey Scientific Investigations Report 2012-5195, ix, 82 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125195.","productDescription":"ix, 82 p.; col. ill.; maps (col.)","startPage":"i","endPage":"82","numberOfPages":"95","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1965-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":265503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5195.gif"},{"id":265502,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/409/"},{"id":265500,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5195/"},{"id":265501,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5195/SIR12-5195.pdf"}],"country":"United States","state":"Colorado;Utah","otherGeospatial":"Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.05,37.0 ], [ -114.05,42.0 ], [ -102.04,42.0 ], [ -102.04,37.0 ], [ -114.05,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4d9ee4b0b290850f199d","contributors":{"authors":[{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaffrath, Keelin R.","contributorId":7552,"corporation":false,"usgs":true,"family":"Schaffrath","given":"Keelin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":471659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, John G. jelliott@usgs.gov","contributorId":832,"corporation":false,"usgs":true,"family":"Elliott","given":"John","email":"jelliott@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":471657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richards, Rodney J. 0000-0003-3953-984X rjrichar@usgs.gov","orcid":"https://orcid.org/0000-0003-3953-984X","contributorId":2204,"corporation":false,"usgs":true,"family":"Richards","given":"Rodney","email":"rjrichar@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70147945,"text":"70147945 - 2013 - Sampling efficiency of the Moore egg collector","interactions":[],"lastModifiedDate":"2015-05-11T10:35:37","indexId":"70147945","displayToPublicDate":"2013-01-09T11:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Sampling efficiency of the Moore egg collector","docAbstract":"<p>Quantitative studies focusing on the collection of semibuoyant fish eggs, which are associated with a pelagic broadcast-spawning reproductive strategy, are often conducted to evaluate reproductive success. Many of the fishes in this reproductive guild have suffered significant reductions in range and abundance. However, the efficiency of the sampling gear used to evaluate reproduction is often unknown and renders interpretation of the data from these studies difficult. Our objective was to assess the efficiency of a modified Moore egg collector (MEC) using field and laboratory trials. Gear efficiency was assessed by releasing a known quantity of gellan beads with a specific gravity similar to that of eggs from representatives of this reproductive guild (e.g., the Arkansas River Shiner Notropis girardi) into an outdoor flume and recording recaptures. We also used field trials to determine how discharge and release location influenced gear efficiency given current methodological approaches. The flume trials indicated that gear efficiency ranged between 0.0% and 9.5% (n = 57) in a simple 1.83-m-wide channel and was positively related to discharge. Efficiency in the field trials was lower, ranging between 0.0% and 3.6%, and was negatively related to bead release distance from the MEC and discharge. The flume trials indicated that the gellan beads were not distributed uniformly across the channel, although aggregation was reduced at higher discharges. This clustering of passively drifting particles should be considered when selecting placement sites for an MEC; further, the use of multiple devices may be warranted in channels with multiple areas of concentrated flow.</p>","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1080/02755947.2012.741557","usgsCitation":"Worthington, T.A., Brewer, S.K., Grabowski, T.B., and Mueller, J., 2013, Sampling efficiency of the Moore egg collector: North American Journal of Fisheries Management, v. 33, no. 1, p. 79-88, https://doi.org/10.1080/02755947.2012.741557.","productDescription":"10 p.","startPage":"79","endPage":"88","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039684","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-09","publicationStatus":"PW","scienceBaseUri":"5551d2b8e4b0a92fa7e93c0b","contributors":{"authors":[{"text":"Worthington, Thomas A.","contributorId":140662,"corporation":false,"usgs":false,"family":"Worthington","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":546577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueller, Julia","contributorId":140663,"corporation":false,"usgs":false,"family":"Mueller","given":"Julia","affiliations":[],"preferred":false,"id":546579,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042440,"text":"70042440 - 2013 - Accuracy assessment of NLCD 2006 land cover and impervious surface","interactions":[],"lastModifiedDate":"2013-01-09T10:23:55","indexId":"70042440","displayToPublicDate":"2013-01-09T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy assessment of NLCD 2006 land cover and impervious surface","docAbstract":"Release of NLCD 2006 provides the first wall-to-wall land-cover change database for the conterminous United States from Landsat Thematic Mapper (TM) data. Accuracy assessment of NLCD 2006 focused on four primary products: 2001 land cover, 2006 land cover, land-cover change between 2001 and 2006, and impervious surface change between 2001 and 2006. The accuracy assessment was conducted by selecting a stratified random sample of pixels with the reference classification interpreted from multi-temporal high resolution digital imagery. The NLCD Level II (16 classes) overall accuracies for the 2001 and 2006 land cover were 79% and 78%, respectively, with Level II user's accuracies exceeding 80% for water, high density urban, all upland forest classes, shrubland, and cropland for both dates. Level I (8 classes) accuracies were 85% for NLCD 2001 and 84% for NLCD 2006. The high overall and user's accuracies for the individual dates translated into high user's accuracies for the 2001–2006 change reporting themes water gain and loss, forest loss, urban gain, and the no-change reporting themes for water, urban, forest, and agriculture. The main factor limiting higher accuracies for the change reporting themes appeared to be difficulty in distinguishing the context of grass. We discuss the need for more research on land-cover change accuracy assessment.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.rse.2012.12.001","usgsCitation":"Wickham, J.D., Stehman, S.V., Gass, L., Dewitz, J., Fry, J.A., and Wade, T., 2013, Accuracy assessment of NLCD 2006 land cover and impervious surface: Remote Sensing of Environment, v. 130, p. 294-304, https://doi.org/10.1016/j.rse.2012.12.001.","productDescription":"11 p.","startPage":"294","endPage":"304","ipdsId":"IP-040031","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":265420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265419,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2012.12.001"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"130","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ee916de4b0160a2d0ee327","chorus":{"doi":"10.1016/j.rse.2012.12.001","url":"http://dx.doi.org/10.1016/j.rse.2012.12.001","publisher":"Elsevier BV","authors":"Wickham James D., Stehman Stephen V., Gass Leila, Dewitz Jon, Fry Joyce A., Wade Timothy G.","journalName":"Remote Sensing of Environment","publicationDate":"3/2013"},"contributors":{"authors":[{"text":"Wickham, James D.","contributorId":72278,"corporation":false,"usgs":false,"family":"Wickham","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":471534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stehman, Stephen V.","contributorId":77283,"corporation":false,"usgs":true,"family":"Stehman","given":"Stephen","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":471535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gass, Leila 0000-0002-3436-262X lgass@usgs.gov","orcid":"https://orcid.org/0000-0002-3436-262X","contributorId":3770,"corporation":false,"usgs":true,"family":"Gass","given":"Leila","email":"lgass@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":471531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dewitz, Jon 0000-0002-0458-212X dewitz@usgs.gov","orcid":"https://orcid.org/0000-0002-0458-212X","contributorId":2401,"corporation":false,"usgs":true,"family":"Dewitz","given":"Jon","email":"dewitz@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":471530,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fry, Joyce A. 0000-0002-8466-9582","orcid":"https://orcid.org/0000-0002-8466-9582","contributorId":69293,"corporation":false,"usgs":true,"family":"Fry","given":"Joyce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471533,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wade, Timothy G.","contributorId":48845,"corporation":false,"usgs":true,"family":"Wade","given":"Timothy G.","affiliations":[],"preferred":false,"id":471532,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70042497,"text":"sir20125265 - 2013 - Summary and interpretation of discrete and continuous water-quality monitoring data, Mattawoman Creek, Charles County, Maryland, 2000-11","interactions":[],"lastModifiedDate":"2023-03-10T12:37:02.469065","indexId":"sir20125265","displayToPublicDate":"2013-01-09T00:00:00","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":"2012-5265","title":"Summary and interpretation of discrete and continuous water-quality monitoring data, Mattawoman Creek, Charles County, Maryland, 2000-11","docAbstract":"Discrete samples and continuous (15-minute interval) water-quality data were collected at Mattawoman Creek (U.S. Geological Survey station number 01658000) from October 2000 through January 2011, in cooperation with the Charles County (Maryland) Department of Planning and Growth Management, the Maryland Department of the Environment, and the Maryland Geological Survey. Mattawoman Creek is a fourth-order Maryland tributary to the tidal freshwater Potomac River; the creek’s watershed is experiencing development pressure due to its proximity to Washington, D.C. Data were analyzed for the purpose of describing ambient water quality, identifying potential contaminant sources, and quantifying nutrient and sediment loads to the tidal freshwater Mattawoman estuary. Continuous data, collected at 15-minute intervals, included discharge, derived from stage measurements made using a pressure transducer, as well as water temperature, pH, specific conductance, dissolved oxygen, and turbidity, all measured using a water-quality sonde. In addition to the continuous data, a total of 360 discrete water-quality samples, representative of monthly low-flow and targeted storm conditions, were analyzed for suspended sediment and nutrients. Continuous observations gathered by a second water-quality sonde, which was temporarily deployed in 2011 for quality-control purposes, indicated substantial lateral water-quality gradients due to inflow from a nearby tributary, representing about 10 percent of the total gaged area upstream of the sampling location. These lateral gradients introduced a time-varying bias into both the continuous and discrete data, resulting in observations that were at some times representative of water-quality conditions in the main channel and at other times biased towards conditions in the tributary. Despite this limitation, both the continuous and discrete data provided insight into the watershed-scale factors that influence water quality in Mattawoman Creek. Annual precipitation over the study period was representative of the long-term record for southern Maryland. The median value of continuously measured discharge was 25 cubic feet per second (ft<sup>3</sup>/s), and the maximum observed value was 3,210 ft<sup>3</sup>/s; there were 498 days, or about 15 percent of the study period, when flow was zero or too low to measure. Continuously measured water temperature followed a seasonal trend characteristic of the geographic setting; the trend in dissolved oxygen was inverted relative to temperature, and reflected nearly saturated conditions year round. Relations between discharge and both pH and specific conductance indicate that stream water can be conceptualized as a mixture of acidic, dilute precipitation with pH-neutral groundwater of higher conductance. Specific conductance data showed a pronounced winter peak in both median and extreme measurements, indicating the influence of road salt. However, this influence is minor relative to that observed in the Northeast Branch Anacostia River (U.S. Geological Survey station number 01649500), a nearby, more heavily urbanized comparison basin. The median suspended-sediment concentration in discrete samples was 24 milligrams per liter (mg/L), with minimum and maximum concentrations of 1 mg/L and 2,890 mg/L, respectively. Total nitrogen ranged from 0.21 mg/L to 4.09 mg/L, with a median of 0.69 mg/L; total phosphorus ranged from less than 0.01 mg/L to 0.98 mg/L, with a median of 0.07 mg/L. Total nitrogen was dominated by the dissolved organic fraction (49 percent based on median species concentrations); total phosphorus was predominantly particulate (70 percent). Seasonal trends in suspended-sediment concentration indicate a supply subsidy in late winter and spring; this could be linked to flood-plain interaction, mobilization of sediment from the channel or banks, or anthropogenic input. Seasonal trends for both total phosphorus and total nitrogen generally corresponded to seasonal trends for suspended sediment, indicating a common underlying physical control, likely acting in synchrony with seasonal biological controls on total nutrient concentrations. Speciation of phosphorus, including proportional concentration of the biologically available dissolved inorganic fraction, did not vary seasonally. The speciation of nitrogen reflected demand for inorganic nitrogen and associated transformation into organic nitrogen during the growing season. Stepwise regression models were developed, using continuous data corresponding to collection times for discrete samples as candidate surrogates for suspended sediment, total phosphorus, and total nitrogen. Turbidity and discharge were both included in the model for suspended sediment (R<sup>2</sup> = 0.76, n = 185); only turbidity was selected as a robust predictor of total phosphorus and nitrogen (R<sup>2</sup> = 0.68 and 0.61, respectively, n = 186 for both). Loads of sediment and nutrients to the downstream Mattawoman estuary were computed using the U.S. Geological Survey computer program LOADEST. Load estimation included comparison of a routinely applied seven-parameter regression model based on time, season, and discharge, with an eight-parameter model that also includes turbidity. Adding turbidity decreased total load estimates, based on hourly data for a fixed 2-month period, by 21, 8, and 3 percent for suspended sediment, total phosphorus, and total nitrogen, respectively, in addition to decreasing the standard error of prediction for all three constituents. The seasonal pattern in specific conductance, reflecting road salt application, is the strongest evidence of the effect of upstream development on water quality at Mattawoman Creek. Accordingly, ongoing continuous monitoring for trends in specific conductance would be the most reliable means of detecting further degradation associated with increased development.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125265","collaboration":"Prepared in cooperation with the Charles County Department of Planning and Growth Management; Maryland Department of the Environment; Maryland Geological Survey","usgsCitation":"Chanat, J.G., Miller, C.V., Bell, J.M., Majedi, B.F., and Brower, D.P., 2013, Summary and interpretation of discrete and continuous water-quality monitoring data, Mattawoman Creek, Charles County, Maryland, 2000-11: U.S. Geological Survey Scientific Investigations Report 2012-5265, vii, 42 p., https://doi.org/10.3133/sir20125265.","productDescription":"vii, 42 p.","startPage":"i","endPage":"42","numberOfPages":"54","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2000-10-01","temporalEnd":"2011-01-31","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":265497,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5265.gif"},{"id":265498,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5265/"},{"id":265499,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5265/pdf/sir2012-5265.pdf"}],"state":"Maryl","city":"Charles County","otherGeospatial":"Mattawoman Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.3155,38.1713 ], [ -77.3155,38.7047 ], [ -76.6719,38.7047 ], [ -76.6719,38.1713 ], [ -77.3155,38.1713 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ee9177e4b0160a2d0ee34b","contributors":{"authors":[{"text":"Chanat, Jeffrey G. 0000-0002-3629-7307 jchanat@usgs.gov","orcid":"https://orcid.org/0000-0002-3629-7307","contributorId":5062,"corporation":false,"usgs":true,"family":"Chanat","given":"Jeffrey","email":"jchanat@usgs.gov","middleInitial":"G.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Cherie V. 0000-0001-7765-5919 cvmiller@usgs.gov","orcid":"https://orcid.org/0000-0001-7765-5919","contributorId":863,"corporation":false,"usgs":true,"family":"Miller","given":"Cherie","email":"cvmiller@usgs.gov","middleInitial":"V.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":471651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, Joseph M. 0000-0002-2536-2070 jmbell@usgs.gov","orcid":"https://orcid.org/0000-0002-2536-2070","contributorId":5063,"corporation":false,"usgs":true,"family":"Bell","given":"Joseph","email":"jmbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Majedi, Brenda Feit","contributorId":81361,"corporation":false,"usgs":true,"family":"Majedi","given":"Brenda","email":"","middleInitial":"Feit","affiliations":[],"preferred":false,"id":471655,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brower, David P. dpbrower@usgs.gov","contributorId":5061,"corporation":false,"usgs":true,"family":"Brower","given":"David","email":"dpbrower@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":471652,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042412,"text":"ofr20061210 - 2013 - Final report and archive of the swath bathymetry and ancillary data collected in the Puerto Rico Trench region in 2002 and 2003","interactions":[],"lastModifiedDate":"2017-11-18T12:01:51","indexId":"ofr20061210","displayToPublicDate":"2013-01-07T00:00:00","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":"2006-1210","title":"Final report and archive of the swath bathymetry and ancillary data collected in the Puerto Rico Trench region in 2002 and 2003","docAbstract":"In 2002 and 2003, the U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), conducted three exploration cruises that mapped for the first time the morphology of the entire tectonic plate boundary stretching from the Dominican Republic in the west to the Lesser Antilles in the east, a distance of approximately 700 kilometers (430 miles). Observations from these three exploration cruises, coupled with computer modeling and published Global Positioning System (GPS) results and earthquake focal mechanisms, have provided new information that is changing the evaluation of the seismic and tsunami hazard from this plate boundary. The observations collected during these cruises also contributed to the basic understanding of the mechanisms that govern plate tectonics, in this case, the creation of the island of Puerto Rico and the deep trench north of it. Results of the sea floor mapping have been an important component of the study of tsunami and earthquake hazards to the northeastern Caribbean and the U.S. Atlantic coast off the United States.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061210","usgsCitation":"ten Brink, U., Danforth, W.W., and Polloni, C.F., 2013, Final report and archive of the swath bathymetry and ancillary data collected in the Puerto Rico Trench region in 2002 and 2003: U.S. Geological Survey Open-File Report 2006-1210, HTML Document, https://doi.org/10.3133/ofr20061210.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2002-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":265368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2006_1210.jpg"},{"id":265366,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1210/"},{"id":265367,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1210/title_page.html"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.25,17.88 ], [ -70.25,22.03 ], [ -59.4,22.03 ], [ -59.4,17.88 ], [ -70.25,17.88 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ebee63e4b07f1501afcfac","contributors":{"authors":[{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":471490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":471489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Polloni, Christopher F.","contributorId":93087,"corporation":false,"usgs":true,"family":"Polloni","given":"Christopher","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":471491,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192405,"text":"70192405 - 2013 - Predicting thermal reference conditions for USA streams and rivers","interactions":[],"lastModifiedDate":"2017-10-26T13:31:18","indexId":"70192405","displayToPublicDate":"2013-01-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Predicting thermal reference conditions for USA streams and rivers","docAbstract":"<p>Temperature is a primary driver of the structure and function of stream ecosystems. However, the lack of stream temperature (ST) data for the vast majority of streams and rivers severely compromises our ability to describe patterns of thermal variation among streams, test hypotheses regarding the effects of temperature on macroecological patterns, and assess the effects of altered STs on ecological resources. Our goal was to develop empirical models that could: 1) quantify the effects of stream and watershed alteration (SWA) on STs, and 2) accurately and precisely predict natural (i.e., reference condition) STs in conterminous USA streams and rivers. We modeled 3 ecologically important elements of the thermal regime: mean summer, mean winter, and mean annual ST. To build reference-condition models (RCMs), we used daily mean ST data obtained from several thousand US Geological Survey temperature sites distributed across the conterminous USA and iteratively modeled ST with Random Forests to identify sites in reference condition. We first created a set of dirty models (DMs) that related STs to both natural factors (e.g., climate, watershed area, topography) and measures of SWA, i.e., reservoirs, urbanization, and agriculture. The 3 models performed well (r<sup>2</sup> = 0.84–0.94, residual mean square error [RMSE] = 1.2–2.0<span>°</span>C). For each DM, we used partial dependence plots to identify SWA thresholds below which response in ST was minimal. We then used data from only the sites with upstream SWA below these thresholds to build RCMs with only natural factors as predictors (r<sup>2</sup> = 0.87–0.95, RMSE = 1.1–1.9<span>°</span>C). Use of only reference-quality sites caused RCMs to suffer modest loss of predictor space and spatial coverage, but this loss was associated with parts of ST response curves that were flat and, therefore, not responsive to further variation in predictor space. We then compared predictions made with the RCMs to predictions made with the DMs with SWA set to 0. For most DMs, setting SWAs to 0 resulted in biased estimates of thermal reference condition.</p>","language":"English","publisher":"University of Chicago Press","doi":"10.1899/12-009.1","usgsCitation":"Hill, R.A., Hawkins, C.P., and Carlisle, D.M., 2013, Predicting thermal reference conditions for USA streams and rivers: Freshwater Science, v. 32, no. 1, p. 39-55, https://doi.org/10.1899/12-009.1.","productDescription":"17 p.","startPage":"39","endPage":"55","ipdsId":"IP-039780","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":473978,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1899/12-009.1","text":"External Repository"},{"id":347475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07ef3de4b09af898c8cd84","contributors":{"authors":[{"text":"Hill, Ryan A.","contributorId":198332,"corporation":false,"usgs":false,"family":"Hill","given":"Ryan","email":"","middleInitial":"A.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":715712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawkins, Charles P.","contributorId":198331,"corporation":false,"usgs":false,"family":"Hawkins","given":"Charles","email":"","middleInitial":"P.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":715711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":715710,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042380,"text":"tm7C9 - 2013 - Approaches in highly parameterized inversion: bgaPEST, a Bayesian geostatistical approach implementation with PEST: documentation and instructions","interactions":[],"lastModifiedDate":"2013-01-06T13:04:47","indexId":"tm7C9","displayToPublicDate":"2013-01-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C9","title":"Approaches in highly parameterized inversion: bgaPEST, a Bayesian geostatistical approach implementation with PEST: documentation and instructions","docAbstract":"The application bgaPEST is a highly parameterized inversion software package implementing the Bayesian Geostatistical Approach in a framework compatible with the parameter estimation suite PEST. Highly parameterized inversion refers to cases in which parameters are distributed in space or time and are correlated with one another. The Bayesian aspect of bgaPEST is related to Bayesian probability theory in which prior information about parameters is formally revised on the basis of the calibration dataset used for the inversion. Conceptually, this approach formalizes the conditionality of estimated parameters on the specific data and model available. The geostatistical component of the method refers to the way in which prior information about the parameters is used. A geostatistical autocorrelation function is used to enforce structure on the parameters to avoid overfitting and unrealistic results. Bayesian Geostatistical Approach is designed to provide the smoothest solution that is consistent with the data. Optionally, users can specify a level of fit or estimate a balance between fit and model complexity informed by the data. Groundwater and surface-water applications are used as examples in this text, but the possible uses of bgaPEST extend to any distributed parameter applications.","largerWorkTitle":"Automated Data Processing and Computations (Book 7)","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C9","collaboration":"Groundwater Resources Program and Global Change Research and Development. This report is Chapter 9 of Section C, Computer programs, in Book 7, Automated Data Processing and Computations.","usgsCitation":"Fienen, M., D'Oria, M., Doherty, J.E., and Hunt, R.J., 2013, Approaches in highly parameterized inversion: bgaPEST, a Bayesian geostatistical approach implementation with PEST: documentation and instructions: U.S. Geological Survey Techniques and Methods 7-C9, Report: vi, 86 p.; Software; Development GIT Repository, https://doi.org/10.3133/tm7C9.","productDescription":"Report: vi, 86 p.; Software; Development GIT Repository","numberOfPages":"96","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":265307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_7_C9.gif"},{"id":265304,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/07/c09/"},{"id":265305,"type":{"id":4,"text":"Application Site"},"url":"https://pubs.usgs.gov/tm/07/c09/Downloads"},{"id":265306,"type":{"id":7,"text":"Companion Files"},"url":"https://github.com/mnfienen-usgs/bgaPEST"},{"id":265308,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/07/c09/pdf/TM7-C9.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ea9ce2e4b02dd6076fad83","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":471424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D'Oria, Marco","contributorId":24253,"corporation":false,"usgs":true,"family":"D'Oria","given":"Marco","affiliations":[],"preferred":false,"id":471427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":471426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471425,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042378,"text":"sir20125217 - 2013 - Effects of best-management practices in Bower Creek in the East River priority watershed, Wisconsin, 1991-2009","interactions":[],"lastModifiedDate":"2013-01-06T12:06:52","indexId":"sir20125217","displayToPublicDate":"2013-01-05T00:00:00","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":"2012-5217","title":"Effects of best-management practices in Bower Creek in the East River priority watershed, Wisconsin, 1991-2009","docAbstract":"Hydrologic and water-quality data were collected at Bower Creek during the periods before best-management practices (BMPs), and after BMPs were installed for evaluation of water-quality improvements. The monitoring was done between 1990 and 2009 with the pre-BMP period ending in July 1994 and the post-BMP period beginning in October 2006. BMPs installed in this basin included streambank protection and fencing, stream crossings, grade stabilization, buffer strips, various barnyard-runoff controls, nutrient management, and a low degree of upland BMPs. Water-quality evaluations included base-flow concentrations and storm loads for total suspended solids, total phosphorus, and ammonia nitrogen. The only reductions detected between the base-flow samples of the pre- and post-BMP periods were in median concentrations of total phosphorus from base-flow samples, but not for total suspended solids or dissolved ammonia nitrogen. Differences in storm loads for the three water-quality constituents monitored were not observed during the study period.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125217","collaboration":"Prepared in cooperation with the Wisconsin Department of Natural Resources","usgsCitation":"Corsi, S., Horwatich, J.A., Rutter, T.D., and Bannerman, R.T., 2013, Effects of best-management practices in Bower Creek in the East River priority watershed, Wisconsin, 1991-2009: U.S. Geological Survey Scientific Investigations Report 2012-5217, viii, 21 p., https://doi.org/10.3133/sir20125217.","productDescription":"viii, 21 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1990-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":265296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5217.gif"},{"id":265294,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5217/"},{"id":265295,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5217/pdf/sir2012-5217_508.pdf"}],"scale":"24000","country":"United States","state":"Wisconsin","county":"Brown","city":"Bellevue;De Pere;Green Leaf;Morrison","otherGeospatial":"Bower Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.016667,44.341667 ], [ -88.016667,44.433333 ], [ -87.925,44.433333 ], [ -87.925,44.341667 ], [ -88.016667,44.341667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50eaab77e4b02dd6076fada3","contributors":{"authors":[{"text":"Corsi, Steven R. srcorsi@usgs.gov","contributorId":511,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":471416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horwatich, Judy A. 0000-0003-0582-0836 jahorwat@usgs.gov","orcid":"https://orcid.org/0000-0003-0582-0836","contributorId":1388,"corporation":false,"usgs":true,"family":"Horwatich","given":"Judy","email":"jahorwat@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rutter, Troy D. 0000-0001-5130-204X tdrutter@usgs.gov","orcid":"https://orcid.org/0000-0001-5130-204X","contributorId":2081,"corporation":false,"usgs":true,"family":"Rutter","given":"Troy","email":"tdrutter@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bannerman, Roger T. 0000-0001-9221-2905 rbannerman@usgs.gov","orcid":"https://orcid.org/0000-0001-9221-2905","contributorId":5560,"corporation":false,"usgs":true,"family":"Bannerman","given":"Roger","email":"rbannerman@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471419,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042371,"text":"ofr20121271 - 2013 - An automated digital imaging system for environmental monitoring applications","interactions":[],"lastModifiedDate":"2013-01-04T14:48:12","indexId":"ofr20121271","displayToPublicDate":"2013-01-04T00:00:00","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":"2012-1271","title":"An automated digital imaging system for environmental monitoring applications","docAbstract":"Recent improvements in the affordability and availability of high-resolution digital cameras, data loggers, embedded computers, and radio/cellular modems have advanced the development of sophisticated automated systems for remote imaging. Researchers have successfully placed and operated automated digital cameras in remote locations and in extremes of temperature and humidity, ranging from the islands of the South Pacific to the Mojave Desert and the Grand Canyon. With the integration of environmental sensors, these automated systems are able to respond to local conditions and modify their imaging regimes as needed. In this report we describe in detail the design of one type of automated imaging system developed by our group. It is easily replicated, low-cost, highly robust, and is a stand-alone automated camera designed to be placed in remote locations, without wireless connectivity.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121271","usgsCitation":"Bogle, R., Velasco, M., and Vogel, J., 2013, An automated digital imaging system for environmental monitoring applications: U.S. Geological Survey Open-File Report 2012-1271, vi, 18 p., https://doi.org/10.3133/ofr20121271.","productDescription":"vi, 18 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":265280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1271.gif"},{"id":265278,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1271/"},{"id":265279,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1271/of2012-1271.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e7f9e2e4b033ce2d2433e5","contributors":{"authors":[{"text":"Bogle, Rian rbogle@usgs.gov","contributorId":81378,"corporation":false,"usgs":true,"family":"Bogle","given":"Rian","email":"rbogle@usgs.gov","affiliations":[],"preferred":false,"id":471399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velasco, Miguel","contributorId":50214,"corporation":false,"usgs":true,"family":"Velasco","given":"Miguel","affiliations":[],"preferred":false,"id":471398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogel, John","contributorId":99825,"corporation":false,"usgs":true,"family":"Vogel","given":"John","affiliations":[],"preferred":false,"id":471400,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042297,"text":"70042297 - 2013 - Distribution and environmental persistence of the causative agent of white-nose syndrome, <i>Geomyces destructans</i>, in bat hibernacula of the eastern United States","interactions":[],"lastModifiedDate":"2018-01-24T13:39:00","indexId":"70042297","displayToPublicDate":"2013-01-03T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and environmental persistence of the causative agent of white-nose syndrome, <i>Geomyces destructans</i>, in bat hibernacula of the eastern United States","docAbstract":"<p>White-nose syndrome (WNS) is an emerging disease of hibernating bats caused by the recently described fungus <i>Geomyces destructans</i>. First isolated in 2008, the origins of this fungus in North America and its ability to persist in the environment remain undefined. To investigate the correlation between manifestation of WNS and distribution of <i>G. destructans</i> in the U.S., we analyzed sediment samples collected from 55 bat hibernacula (caves and mines) both within and outside the known range of WNS using a newly developed real-time PCR assay. <i>Geomyces destructans</i> was detected in 17 of 21 sites within the known range of WNS at the time the samples were collected; the fungus was not found in 28 sites beyond the known range of the disease at the time that environmental samples were collected. These data indicate that distribution of <i>G. destructans</i> is correlated with disease in hibernating bats and support the hypothesis that the fungus is likely an exotic species in North America. Additionally, we examined whether <i>G. destructans</i> persists in infested bat hibernacula when bats are absent. Sediment samples were collected from 14 WNS-positive hibernacula, and the samples were screened for viable fungus using a culture technique. Viable <i>G. destructans</i> was cultivated from 7 of the 14 sites sampled during late summer when bats were no longer in hibernation, suggesting the fungus can persist in the environment in the absence of bat hosts for long periods of time.</p>","language":"English","publisher":"American Society for Microbiology","publisherLocation":"Washington, D.C.","doi":"10.1128/AEM.02939-12","usgsCitation":"Lorch, J.M., Muller, L.K., Russell, R.E., O’Connor, M., Lindner, D.L., and Blehert, D., 2013, Distribution and environmental persistence of the causative agent of white-nose syndrome, <i>Geomyces destructans</i>, in bat hibernacula of the eastern United States: Applied and Environmental Microbiology, v. 79, no. 4, p. 1293-1301, https://doi.org/10.1128/AEM.02939-12.","productDescription":"36 p.","startPage":"1293","endPage":"1301","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041188","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":473982,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/aem.02939-12","text":"External Repository"},{"id":265034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265033,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1128/AEM.02939-12"}],"country":"United 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rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":471220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Connor, Michael","contributorId":51608,"corporation":false,"usgs":true,"family":"O’Connor","given":"Michael","email":"","affiliations":[],"preferred":false,"id":471223,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindner, Daniel L.","contributorId":7411,"corporation":false,"usgs":true,"family":"Lindner","given":"Daniel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":471222,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":1816,"corporation":false,"usgs":true,"family":"Blehert","given":"David S.","email":"dblehert@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":471219,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70049004,"text":"sir20135203 - 2013 - Comparison of water consumption in two riparian vegetation communities along the central Platte River, Nebraska, 2008–09 and 2011","interactions":[],"lastModifiedDate":"2014-01-02T11:46:06","indexId":"sir20135203","displayToPublicDate":"2013-01-02T11:21:11","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":"2013-5203","title":"Comparison of water consumption in two riparian vegetation communities along the central Platte River, Nebraska, 2008–09 and 2011","docAbstract":"The Platte River is a vital natural resource for the people, plants, and animals of Nebraska. A recent study quantified water use by riparian woodlands along central reaches of the Platte River, Nebraska, finding that water use was mainly regulated below maximum predicted levels. A comparative study was launched through a cooperative partnership between the U.S. Geological Survey, the Central Platte Natural Resources District, the Nebraska Department of Natural Resources, and the Nebraska Environmental Trust to compare water use of a riparian woodland with that of a grazed riparian grassland along the central Platte River. This report describes the results of the 3-year study by the U.S. Geological Survey to measure the evapotranspiration (ET) rates in the two riparian vegetation communities.  Evapotranspiration was measured during 2008–09 and 2011 using the eddy-covariance method at a riparian woodland near Odessa, hereinafter referred to as the “woodland site,” and a riparian grassland pasture near Elm Creek, hereinafter referred to as the “grassland site.” Overall, annual ET totals at the grassland site were 90 percent of the annual ET measured at the woodland site, with averages of 653 millimeters (mm) and 726 mm, respectively. Evapotranspiration rates were similar at the grassland site and the woodland site during the spring and fall seasons, but at the woodland site ET rates were higher than those of the grassland site during the peak-growth summer months of June through August. These seasonal differences and the slightly lower ET rates at the grassland site were likely the result of differing plant communities, disturbance effects related to grazing and flooding, and climatic differences between the sites.  The annual water balance was calculated for each site and indicated that the predominant factors in the water balance at both sites were ET and precipitation. Annual precipitation for the study period ranged from near to above the normal precipitation of 640 mm. Substantial precipitation fell in May and October 2008 that caused flooding along the Platte River in May of this especially wet year. There was a deficit in precipitation compared to ET at both sites in 2009 and 2011, leading to a net groundwater use of greater than 140 mm per year at the woodland site and greater than 55 mm per year at the grassland site. This indicates that the net annual groundwater use or recharge depends predominately upon the relation between ET and precipitation in these riparian areas with shallow soil layers above the groundwater table.  Prior research at the woodland site provided four additional annual water balances dating back to 2002 for comparison with the study period at the woodland site. Perhaps most striking in this comparison was the 25-percent increase in annual ET for 2008–09 and 2011 despite precipitation totals and potential ET rates that were within the range of those measured in 2002–05. As a result, the water balance indicates that groundwater was discharged 2 of the 3 years of the study. This likely was caused by higher groundwater levels and a healthier plant community in 2008–09 and 2011 relative to the drought-affected years of 2002–05. As a result of these changes, the crop coefficients developed for riparian woodlands during the prior research underestimated 2008–09 and 2011 annual ET rates by an average of 35 percent. Though new crop coefficients were developed by this study, the importance of soil-moisture stress and plant community successional dynamics need to be considered when applying these coefficients at other riparian sites or into the future. Nonetheless, their development and the data on which they are based may provide improved understanding of water consumption by riparian grasslands and riparian woodlands along the central Platte River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135203","collaboration":"Prepared in cooperation with the Central Platte Natural Resources District, the Nebraska Department of Natural Resources, and the Nebraska Environmental Trust","usgsCitation":"Hall, B.M., and Rus, D.L., 2013, Comparison of water consumption in two riparian vegetation communities along the central Platte River, Nebraska, 2008–09 and 2011: U.S. Geological Survey Scientific Investigations Report 2013-5203, Report: vi, 26 p.; Downloads Directory, https://doi.org/10.3133/sir20135203.","productDescription":"Report: vi, 26 p.; Downloads Directory","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045289","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":280577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":280572,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5203/"},{"id":280575,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5203/pdf/sir2013-5203.pdf"},{"id":280576,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5203/downloads/"}],"country":"United States","state":"Nebraska","otherGeospatial":"Central Platte River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.5,40 ], [ -100.5,41.5 ], [ 98,41.5 ], [ 98,40 ], [ -100.5,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd521ee4b0b290850f4577","contributors":{"authors":[{"text":"Hall, Brent M. 0000-0003-3815-5158 bhall@usgs.gov","orcid":"https://orcid.org/0000-0003-3815-5158","contributorId":4547,"corporation":false,"usgs":true,"family":"Hall","given":"Brent","email":"bhall@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rus, David L. 0000-0003-3538-7826 dlrus@usgs.gov","orcid":"https://orcid.org/0000-0003-3538-7826","contributorId":881,"corporation":false,"usgs":true,"family":"Rus","given":"David","email":"dlrus@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485984,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044662,"text":"70044662 - 2013 - Mississippi River streamflow measurement techniques at St. Louis, Missouri","interactions":[],"lastModifiedDate":"2013-10-28T15:45:07","indexId":"70044662","displayToPublicDate":"2013-01-01T21:59:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Mississippi River streamflow measurement techniques at St. Louis, Missouri","docAbstract":"Streamflow measurement techniques of the Mississippi River at St. Louis have changed through time (1866–present). In addition to different methods used for discrete streamflow measurements, the density and range of discrete measurements used to define the rating curve (stage versus streamflow) have also changed. Several authors have utilized published water surface elevation (stage) and streamflow data to assess changes in the rating curve, which may be attributed to be caused by flood control and/or navigation structures. The purpose of this paper is to provide a thorough review of the available flow measurement data and techniques and to assess how a strict awareness of the limitations of the data may affect previous analyses. It is concluded that the pre-1930s discrete streamflow measurement data are not of sufficient accuracy to be compared with modern streamflow values in establishing long-term trends of river behavior.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydraulic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)HY.1943-7900.0000752","usgsCitation":"Wastson, C.C., Holmes, R.R., and Biedenham, D.S., 2013, Mississippi River streamflow measurement techniques at St. Louis, Missouri: Journal of Hydraulic Engineering, v. 139, no. 10, p. 1062-1070, https://doi.org/10.1061/(ASCE)HY.1943-7900.0000752.","productDescription":"9 p.","startPage":"1062","endPage":"1070","numberOfPages":"9","ipdsId":"IP-044176","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":278492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278491,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)HY.1943-7900.0000752"}],"country":"United States","state":"Missouri","city":"St. Louis","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.320515,38.532322 ], [ -90.320515,38.774346 ], [ -90.166721,38.774346 ], [ -90.166721,38.532322 ], [ -90.320515,38.532322 ] ] ] } } ] }","volume":"139","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526f8779e4b0493c992ecdaa","contributors":{"authors":[{"text":"Wastson, Chester C.","contributorId":102376,"corporation":false,"usgs":true,"family":"Wastson","given":"Chester","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":476188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":476186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biedenham, David S.","contributorId":27782,"corporation":false,"usgs":true,"family":"Biedenham","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":476187,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70126204,"text":"70126204 - 2013 - Methylmercury is the predominant form of mercury in bird eggs: a synthesis","interactions":[],"lastModifiedDate":"2017-07-19T15:48:25","indexId":"70126204","displayToPublicDate":"2013-01-01T18:05:24","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Methylmercury is the predominant form of mercury in bird eggs: a synthesis","docAbstract":"Bird eggs are commonly used in mercury monitoring programs to assess methylmercury contamination and toxicity to birds. However, only 6% of >200 studies investigating mercury in bird eggs have actually measured methylmercury concentrations in eggs. Instead, studies typically measure total mercury in eggs (both organic and inorganic forms of mercury), with the explicit assumption that total mercury concentrations in eggs are a reliable proxy for methylmercury concentrations in eggs. This assumption is rarely tested, but has important implications for assessing risk of mercury to birds. We conducted a detailed assessment of this assumption by (1) collecting original data to examine the relationship between total and methylmercury in eggs of two species, and (2) reviewing the published literature on mercury concentrations in bird eggs to examine whether the percentage of total mercury in the methylmercury form differed among species. Within American avocets (<i>Recurvirostra americana</i>) and Forster’s terns (<i>Sterna forsteri</i>), methylmercury concentrations were highly correlated (R<sup>2</sup> = 0.99) with total mercury concentrations in individual eggs (range: 0.03–7.33 μg/g fww), and the regression slope (log scale) was not different from one (m = 0.992). The mean percentage of total mercury in the methylmercury form in eggs was 97% for American avocets (n = 30 eggs), 96% for Forster’s terns (n = 30 eggs), and 96% among all 22 species of birds (n = 30 estimates of species means). The percentage of total mercury in the methylmercury form ranged from 63% to 116% among individual eggs and 82% to 111% among species means, but this variation was not related to total mercury concentrations in eggs, foraging guild, nor to a species life history strategy as characterized along the precocial to altricial spectrum. Our results support the use of total mercury concentrations to estimate methylmercury concentrations in bird eggs.","language":"English","publisher":"American Chemical Society","doi":"10.1021/es304385y","usgsCitation":"Ackerman, J., Herzog, M., and Schwarzbach, S.E., 2013, Methylmercury is the predominant form of mercury in bird eggs: a synthesis: Environmental Science & Technology, v. 47, no. 4, p. 2052-2060, https://doi.org/10.1021/es304385y.","productDescription":"9 p.","startPage":"2052","endPage":"2060","numberOfPages":"9","ipdsId":"IP-043304","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294225,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es304385y"}],"volume":"47","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-01-31","publicationStatus":"PW","scienceBaseUri":"541d459fe4b0f68901ec30ca","contributors":{"authors":[{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":501921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herzog, Mark P. mherzog@usgs.gov","contributorId":3965,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark P.","email":"mherzog@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":501920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwarzbach, Steven E. steven_schwarzbach@usgs.gov","contributorId":1025,"corporation":false,"usgs":true,"family":"Schwarzbach","given":"Steven","email":"steven_schwarzbach@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501919,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047211,"text":"70047211 - 2013 - A support system for assessing local vulnerability to weather and climate","interactions":[],"lastModifiedDate":"2019-06-04T08:55:18","indexId":"70047211","displayToPublicDate":"2013-01-01T16:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"A support system for assessing local vulnerability to weather and climate","docAbstract":"<p>The changing number and nature of weather- and climate-related natural hazards is causing more communities to need to assess their vulnerabilities. Vulnerability assessments, however, often require considerable expertise and resources that are not available or too expensive for many communities. To meet the need for an easy-to-use, cost-effective vulnerability assessment tool for communities, a prototype online vulnerability assessment support system was built and tested. This prototype tool guides users through a stakeholder-based vulnerability assessment that breaks the process into four easy-to-implement steps. Data sources are integrated in the online environment so that perceived risks—defined and prioritized qualitatively by users—can be compared and discussed against the impacts that past events have had on the community. The support system is limited in scope, and the locations of the case studies do not provide a sufficiently broad range of sample cases. The addition of more publicly available hazard databases combined with future improvements in the support system architecture and software will expand opportunities for testing and fully implementing the support system.</p>","language":"English","publisher":"Springer","doi":"10.1007/s11069-012-0366-3","usgsCitation":"Coletti, A., Howe, P.D., Yarnal, B., and Wood, N.J., 2013, A support system for assessing local vulnerability to weather and climate: Natural Hazards, v. 65, no. 1, p. 999-1008, https://doi.org/10.1007/s11069-012-0366-3.","productDescription":"10 p.","startPage":"999","endPage":"1008","ipdsId":"IP-040114","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":275419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-10-05","publicationStatus":"PW","scienceBaseUri":"51f2541ee4b0279fe2e1bfe0","contributors":{"authors":[{"text":"Coletti, Alex","contributorId":69866,"corporation":false,"usgs":true,"family":"Coletti","given":"Alex","email":"","affiliations":[],"preferred":false,"id":481407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Howe, Peter D.","contributorId":60931,"corporation":false,"usgs":true,"family":"Howe","given":"Peter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":481406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yarnal, Brent","contributorId":31839,"corporation":false,"usgs":true,"family":"Yarnal","given":"Brent","email":"","affiliations":[],"preferred":false,"id":481405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":481404,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198396,"text":"70198396 - 2013 - Testing the use of microfossils to reconstruct great earthquakes at Cascadia","interactions":[],"lastModifiedDate":"2018-08-21T16:20:06","indexId":"70198396","displayToPublicDate":"2013-01-01T16:21:30","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Testing the use of microfossils to reconstruct great earthquakes at Cascadia","docAbstract":"<p><span>Coastal stratigraphy from the Pacific Northwest of the United States contains evidence of sudden subsidence during ruptures of the Cascadia subduction zone. Transfer functions (empirical relationships between assemblages and elevation) can convert microfossil data into coastal subsidence estimates. Coseismic deformation models use the subsidence values to constrain earthquake magnitudes. To test the response of foraminifera, the accuracy of the transfer function method, and the presence of a pre-seismic signal, we simulated a great earthquake near Coos Bay, Oregon, by transplanting a bed of modern high salt-marsh sediment into the tidal flat, an elevation change that mimics a coseismic subsidence of 0.64 m. The transplanted bed was quickly buried by mud; after 12 mo and 5 yr, we sampled it for foraminifera. Reconstruction of the simulated coseismic subsidence using our transfer function was 0.61 m, nearly identical to the actual elevation change. Our transplant experiment, and additional analyses spanning the A.D. 1700 earthquake contact at the nearby Coquille River 15 km to the south, show that sediment mixing may explain assemblage changes previously interpreted as evidence of pre-seismic land-level change in Cascadia and elsewhere.</span></p>","language":"English","publisher":"Geological Survey of America","doi":"10.1130/G34544.1","usgsCitation":"Engelhart, S.E., Horton, B.P., Nelson, A.R., Hawkes, A.D., Witter, R., Wang, K., Wang, P., and Vane, C.H., 2013, Testing the use of microfossils to reconstruct great earthquakes at Cascadia: Geology, v. 41, no. 10, p. 1067-1070, https://doi.org/10.1130/G34544.1.","productDescription":"4 p.","startPage":"1067","endPage":"1070","ipdsId":"IP-046321","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":473983,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1285333","text":"External Repository"},{"id":356121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fd37fe4b0f5d57878edba","contributors":{"authors":[{"text":"Engelhart, S. E.","contributorId":206643,"corporation":false,"usgs":false,"family":"Engelhart","given":"S.","email":"","middleInitial":"E.","affiliations":[{"id":37366,"text":"Sea Level Reserach Dept of Geosciences U of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":741345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horton, B. P","contributorId":193401,"corporation":false,"usgs":false,"family":"Horton","given":"B.","email":"","middleInitial":"P","affiliations":[],"preferred":false,"id":741455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":741339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawkes, A. D.","contributorId":206639,"corporation":false,"usgs":false,"family":"Hawkes","given":"A.","email":"","middleInitial":"D.","affiliations":[{"id":37362,"text":"Geography and Geology,U of North Carolina","active":true,"usgs":false}],"preferred":false,"id":741341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":741456,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, K.","contributorId":206641,"corporation":false,"usgs":false,"family":"Wang","given":"K.","email":"","affiliations":[{"id":37364,"text":"Pacific Geoscience Center Geological Survery of Canada","active":true,"usgs":false}],"preferred":false,"id":741343,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, P.-L.","contributorId":206642,"corporation":false,"usgs":false,"family":"Wang","given":"P.-L.","email":"","affiliations":[{"id":37365,"text":"Dept of Geosciences, National Taiwan University.","active":true,"usgs":false}],"preferred":false,"id":741344,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vane, C. H.","contributorId":206640,"corporation":false,"usgs":false,"family":"Vane","given":"C.","email":"","middleInitial":"H.","affiliations":[{"id":37363,"text":"British Geological Survey, Nottingham UK","active":true,"usgs":false}],"preferred":false,"id":741342,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70074095,"text":"70074095 - 2013 - Quantifying landscape change in an arctic coastal lowland using repeat airborne LiDAR","interactions":[],"lastModifiedDate":"2018-03-29T11:16:02","indexId":"70074095","displayToPublicDate":"2013-01-01T16:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying landscape change in an arctic coastal lowland using repeat airborne LiDAR","docAbstract":"<p><span>Increases in air, permafrost, and sea surface temperature, loss of sea ice, the potential for increased wave energy, and higher river discharge may all be interacting to escalate erosion of arctic coastal lowland landscapes. Here we use airborne light detection and ranging (LiDAR) data acquired in 2006 and 2010 to detect landscape change in a 100&nbsp;km</span><sup>2</sup><span><span>&nbsp;</span>study area on the Beaufort Sea coastal plain of northern Alaska. We detected statistically significant change (99% confidence interval), defined as contiguous areas (&gt;10&nbsp;m</span><sup>2</sup><span>) that had changed in height by at least 0.55&nbsp;m, in 0.3% of the study region. Erosional features indicative of ice-rich permafrost degradation were associated with ice-bonded coastal, river, and lake bluffs, frost mounds, ice wedges, and thermo-erosional gullies. These features accounted for about half of the area where vertical change was detected. Inferred thermo-denudation and thermo-abrasion of coastal and river bluffs likely accounted for the dominant permafrost-related degradational processes with respect to area (42%) and volume (51%). More than 300 thermokarst pits significantly subsided during the study period, likely as a result of storm surge flooding of low-lying tundra (&lt;1.4&nbsp;m asl) as well as the lasting impact of warm summers in the late-1980s and mid-1990s. Our results indicate that repeat airborne LiDAR can be used to detect landscape change in arctic coastal lowland regions at large spatial scales over sub-decadal time periods.</span></p>","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/8/4/045025","usgsCitation":"Jones, B.M., Stoker, J.M., Gibbs, A.E., Grosse, G., Romanovsky, V.E., Douglas, T.A., Kinsman, N.E., and Richmond, B.M., 2013, Quantifying landscape change in an arctic coastal lowland using repeat airborne LiDAR: Environmental Research Letters, v. 8, no. 4, Article 045025; 10 p., https://doi.org/10.1088/1748-9326/8/4/045025.","productDescription":"Article 045025; 10 p.","onlineOnly":"Y","ipdsId":"IP-051098","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473984,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/4/045025","text":"Publisher Index Page"},{"id":281597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -148.5,70.0 ], [ -148.5,70.5 ], [ -146.5,70.5 ], [ -146.5,70.0 ], [ -148.5,70.0 ] ] ] } } ] }","volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-11-21","publicationStatus":"PW","scienceBaseUri":"53cd6ec7e4b0b29085105fdb","contributors":{"authors":[{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":489384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":489389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":489391,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romanovsky, Vladimir E.","contributorId":40113,"corporation":false,"usgs":true,"family":"Romanovsky","given":"Vladimir","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":489387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Douglas, Thomas A. 0000-0003-1314-1905","orcid":"https://orcid.org/0000-0003-1314-1905","contributorId":64553,"corporation":false,"usgs":false,"family":"Douglas","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":33087,"text":"Cold Regions Research and Engineering Laboratory","active":true,"usgs":false}],"preferred":true,"id":489388,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kinsman, Nichole E.M.","contributorId":100285,"corporation":false,"usgs":true,"family":"Kinsman","given":"Nichole","email":"","middleInitial":"E.M.","affiliations":[],"preferred":false,"id":489390,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489385,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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