The Kootenai River white sturgeon currently spawn (2005) in an 18-kilometer reach of the Kootenai River, Idaho. Since completion of Libby Dam upstream from the spawning reach, there has been only one successful year of recruitment of juvenile fish. Where successful in other rivers, white sturgeon spawn over clean coarse material of gravel size or larger. The channel substrate in the current spawning reach is composed primarily of sand and some buried gravel; within a few kilometers upstream there is clean gravel. We used a 2-dimensional flow and sediment-transport model and the measured locations of sturgeon spawning from 1994-2002 to gain insight into the paradox between the current spawning location and the absence of suitable substrate. Spatial correlations between spawning locations and the model simulations of velocity and depth indicate the white sturgeon tend to select regions of highest velocity and depth within any river cross-section to spawn. These regions of high velocity and depth are independent of pre- or post-dam flow conditions. A simple sediment-transport simulation suggests that high discharge and relatively long duration flow associated with pre-dam flow events might be sufficient to scour the sandy substrate and expose existing lenses of gravel and cobble as lag deposits in the current spawning reach.
","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)HY.1943-7900.0000283","usgsCitation":"McDonald, R.R., Nelson, J.M., Paragamian, V., and Barton, G., 2017, Modeling hydraulic and sediment transport processes in white sturgeon spawning habitat on the Kootenai River, Idaho: Journal of Hydraulic Engineering, v. 136, no. 12, p. 1077-1092, https://doi.org/10.1061/(ASCE)HY.1943-7900.0000283.","productDescription":"16 p.","startPage":"1077","endPage":"1092","ipdsId":"IP-010752","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":345072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","city":"Bonners Ferry","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.54983520507812,\n 48.59840868861914\n ],\n [\n -116.04721069335936,\n 48.59840868861914\n ],\n [\n -116.04721069335936,\n 48.93152205931365\n ],\n [\n -116.54983520507812,\n 48.93152205931365\n ],\n [\n -116.54983520507812,\n 48.59840868861914\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"136","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e9448e4b04935557fe9cb","contributors":{"authors":[{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":707549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paragamian, Vaughn","contributorId":195589,"corporation":false,"usgs":false,"family":"Paragamian","given":"Vaughn","email":"","affiliations":[],"preferred":false,"id":707551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barton, Gary J. gbarton@usgs.gov","contributorId":1147,"corporation":false,"usgs":true,"family":"Barton","given":"Gary J.","email":"gbarton@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":707548,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192279,"text":"70192279 - 2017 - Overview of the U.S. Nuclear Regulatory Commission collaborative research program to assess tsunami hazard for nuclear power plants on the Atlantic and Gulf Coasts","interactions":[],"lastModifiedDate":"2017-10-24T10:04:16","indexId":"70192279","displayToPublicDate":"2008-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Overview of the U.S. Nuclear Regulatory Commission collaborative research program to assess tsunami hazard for nuclear power plants on the Atlantic and Gulf Coasts","docAbstract":"In response to the 2004 Indian Ocean Tsunami, the United States \nNuclear Regulatory Commission (US NRC) initiated a long-term research \nprogram to improve understanding of tsunami hazard levels for nuclear \nfacilities in the United States. For this effort, the US NRC organized \na collaborative research program with the United States Geological \nSurvey (USGS) and the National Oceanic and Atmospheric Administration \n(NOAA) with a goal of assessing tsunami hazard on the Atlantic and Gulf \nCoasts of the United States. Necessarily, the US NRC research program \nincludes both seismic- and landslide-based tsunamigenic sources in both \nthe near and the far fields. The inclusion of tsunamigenic landslides, \nan important category of sources that impact tsunami hazard levels for \nthe Atlantic and Gulf Coasts is a key difference between this \nprogram and most other tsunami hazard assessment programs. The \ninitial phase of this work consisted of collection, interpretation, and \nanalysis of available offshore data, with significant effort focused \non characterizing offshore near-field landslides and analyzing their \ntsunamigenic potential and properties. In the next phase of research, \nadditional field investigations will be conducted in key locations of \ninterest and additional analysis will be undertaken. Simultaneously, \nthe MOST tsunami generation and propagation model used by NOAA will \nfirst be enhanced to include landslide-based initiation mechanisms and \nthen will be used to investigate the impact of the tsunamigenic sources \nidentified and characterized by the USGS. The potential for probabilistic \ntsunami hazard assessment will also be explore in the final phases of the program.","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"14th World Conference on Earthquake Engineering ","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"14th World Conference on Earthquake Engineering","conferenceDate":"October 12-17, 2008","conferenceLocation":"Beijing, China","language":"English","publisher":"International Association for Earthquake Engineering","usgsCitation":"Kammerer, A., ten Brink, U., and Titov, V., 2017, Overview of the U.S. Nuclear Regulatory Commission collaborative research program to assess tsunami hazard for nuclear power plants on the Atlantic and Gulf Coasts, in 14th World Conference on Earthquake Engineering , Beijing, China, October 12-17, 2008, 8 p.","productDescription":"8 p.","ipdsId":"IP-009974","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":347192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347191,"type":{"id":15,"text":"Index Page"},"url":"https://www.iitk.ac.in/nicee/wcee/article/14_15-0007.pdf"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.068359375,\n 29.305561325527698\n ],\n [\n -74.53125,\n 29.84064389983441\n ],\n [\n -74.44335937499999,\n 30.90222470517144\n ],\n [\n -74.35546875,\n 31.50362930577303\n ],\n [\n -73.30078125,\n 32.62087018318113\n ],\n [\n -72.0703125,\n 33.358061612778876\n ],\n [\n -66.181640625,\n 43.068887774169625\n ],\n [\n -69.873046875,\n 43.77109381775651\n ],\n [\n -72.0703125,\n 40.44694705960048\n ],\n [\n -73.740234375,\n 39.639537564366684\n ],\n [\n -76.2890625,\n 37.09023980307208\n ],\n [\n -75.41015624999999,\n 35.817813158696616\n ],\n [\n -76.2890625,\n 34.95799531086792\n ],\n [\n -76.9921875,\n 34.45221847282654\n ],\n [\n -78.134765625,\n 33.578014746143985\n ],\n [\n -80.068359375,\n 32.10118973232094\n ],\n [\n -80.947265625,\n 30.90222470517144\n ],\n [\n -80.068359375,\n 29.305561325527698\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f05123e4b0220bbd9a1da7","contributors":{"authors":[{"text":"Kammerer, A.M.","contributorId":64383,"corporation":false,"usgs":false,"family":"Kammerer","given":"A.M.","email":"","affiliations":[{"id":12528,"text":"US Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":715119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":715118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Titov, V.V.","contributorId":48752,"corporation":false,"usgs":true,"family":"Titov","given":"V.V.","email":"","affiliations":[],"preferred":false,"id":715120,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176667,"text":"sim3366 - 2016 - Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas","interactions":[{"subject":{"id":70176667,"text":"sim3366 - 2016 - Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas","indexId":"sim3366","publicationYear":"2016","noYear":false,"title":"Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas"},"predicate":"SUPERSEDED_BY","object":{"id":70250060,"text":"sim3510 - 2023 - Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas","indexId":"sim3510","publicationYear":"2023","noYear":false,"title":"Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas"},"id":1}],"supersededBy":{"id":70250060,"text":"sim3510 - 2023 - Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas","indexId":"sim3510","publicationYear":"2023","noYear":false,"title":"Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas"},"lastModifiedDate":"2023-11-17T18:48:11.349185","indexId":"sim3366","displayToPublicDate":"2023-11-17T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3366","title":"Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas","docAbstract":"During 2014–16, the U.S. Geological Survey, in cooperation with the Edwards Aquifer Authority, documented the geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas. The Edwards and Trinity aquifers are major sources of water for agriculture, industry, and urban and rural communities in south-central Texas. Both the Edwards and Trinity are classified as major aquifers by the State of Texas.
The purpose of this report is to present the geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Tex. The report includes a detailed 1:24,000-scale hydrostratigraphic map, names, and descriptions of the geology and hydrostratigraphic units (HSUs) in the study area.
The scope of the report is focused on geologic framework and hydrostratigraphy of the outcrops and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Tex. In addition, parts of the adjacent upper confining unit to the Edwards aquifer are included.
The study area, approximately 866 square miles, is within the outcrops of the Edwards and Trinity aquifers and overlying confining units (Washita, Eagle Ford, Austin, and Taylor Groups) in northern Bexar and Comal Counties, Tex. The rocks within the study area are sedimentary and range in age from Early to Late Cretaceous. The Miocene-age Balcones fault zone is the primary structural feature within the study area. The fault zone is an extensional system of faults that generally trends southwest to northeast in south-central Texas. The faults have normal throw, are en echelon, and are mostly downthrown to the southeast.
The Early Cretaceous Edwards Group rocks were deposited in an open marine to supratidal flats environment during two marine transgressions. The Edwards Group is composed of the Kainer and Person Formations. Following tectonic uplift, subaerial exposure, and erosion near the end of Early Cretaceous time, the area of present-day south-central Texas was again submerged during the Late Cretaceous by a marine transgression resulting in deposition of the Georgetown Formation of the Washita Group.
The Early Cretaceous Edwards Group, which overlies the Trinity Group, is composed of mudstone to boundstone, dolomitic limestone, argillaceous limestone, evaporite, shale, and chert. The Kainer Formation is subdivided into (bottom to top) the basal nodular, dolomitic, Kirschberg Evaporite, and grainstone members. The Person Formation is subdivided into (bottom to top) the regional dense, leached and collapsed (undivided), and cyclic and marine (undivided) members.
Hydrostratigraphically the rocks exposed in the study area represent a section of the upper confining unit to the Edwards aquifer, the Edwards aquifer, the upper zone of the Trinity aquifer, and the middle zone of the Trinity aquifer. The Pecan Gap Formation (Taylor Group), Austin Group, Eagle Ford Group, Buda Limestone, and Del Rio Clay are generally considered to be the upper confining unit to the Edwards aquifer.
The Edwards aquifer was subdivided into HSUs I to VIII. The Georgetown Formation of the Washita Group contains HSU I. The Person Formation of the Edwards Group contains HSUs II (cyclic and marine members [Kpcm], undivided), III (leached and collapsed members [Kplc,] undivided), and IV (regional dense member [Kprd]), and the Kainer Formation of the Edwards Group contains HSUs V (grainstone member [Kkg]), VI (Kirschberg Evaporite Member [Kkke]), VII (dolomitic member [Kkd]), and VIII (basal nodular member [Kkbn]).
The Trinity aquifer is separated into upper, middle, and lower aquifer units (hereinafter referred to as “zones”). The upper zone of the Trinity aquifer is in the upper member of the Glen Rose Limestone. The middle zone of the Trinity aquifer is formed in the lower member of the Glen Rose Limestone, Hensell Sand, and Cow Creek Limestone. The regionally extensive Hammett Shale forms a confining unit between the middle and lower zones of the Trinity aquifer. The lower zone of the Trinity aquifer consists of the Sligo and Hosston Formations, which do not crop out in the study area.
The upper zone of the Trinity aquifer is subdivided into five informal HSUs (top to bottom): cavernous, Camp Bullis, upper evaporite, fossiliferous, and lower evaporite. The middle zone of the Trinity aquifer is composed of the (top to bottom) Bulverde, Little Blanco, Twin Sisters, Doeppenschmidt, Rust, Honey Creek, Hensell, and Cow Creek HSUs. The underlying Hammett HSU is a regional confining unit between the middle and lower zones of the Trinity aquifer. The lower zone of the Trinity aquifer is not exposed in the study area.
Groundwater recharge and flow paths in the study area are influenced not only by the hydrostratigraphic characteristics of the individual HSUs but also by faults and fractures and geologic structure. Faulting associated with the Balcones fault zone (1) might affect groundwater flow paths by forming a barrier to flow that results in water moving parallel to the fault plane, (2) might affect groundwater flow paths by increasing flow across the fault because of fracturing and juxtaposing porous and permeable units, or (3) might have no effect on the groundwater flow paths.
The hydrologic connection between the Edwards and Trinity aquifers and the various HSUs is complex. The complexity of the aquifer system is a combination of the original depositional history, bioturbation, primary and secondary porosity, diagenesis, and fracturing of the area from faulting. All of these factors have resulted in development of modified porosity, permeability, and transmissivity within and between the aquifers. Faulting produced highly fractured areas that have allowed for rapid infiltration of water and subsequently formed solutionally enhanced fractures, bedding planes, channels, and caves that are highly permeable and transmissive. The juxtaposition resulting from faulting has resulted in areas of interconnectedness between the Edwards and Trinity aquifers and the various HSUs that form the aquifers.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3366","collaboration":"Prepared in cooperation with the Edwards Aquifer Authority","usgsCitation":"Clark, A.K., Golab, J.A., and Morris, R.R., 2016, Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas: U.S. Geological Survey Scientific Investigations Map 3366, 1 sheet, scale 1:24,000, pamphlet, https://doi.org/10.3133/sim3366.","productDescription":"Pamphlet: vi, 20 p.; Sheet: 48.00 x 36.00 inches; Appendix 1","numberOfPages":"29","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-073371","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":331194,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3366/sim3366_pamphlet.pdf","text":"Pamphlet","size":"805 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3366 Pamphlet"},{"id":331192,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3366/coverthb1.jpg"},{"id":331195,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3366/sim3366_BexarComalGIS.zip","text":"Appendix 1","size":"19.3 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3366 Appendix 1"},{"id":331193,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3366/sim3366.pdf","text":"Map","size":"10.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3366"}],"country":"United States","state":"Texas","county":"Comal County, Bexar County","otherGeospatial":"Edwards Aquifer, Trinity Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.30017089843749,\n 30.0405664305846\n ],\n [\n -98.65447998046875,\n 29.75364773335698\n ],\n [\n -98.78494262695312,\n 29.72025928058346\n ],\n [\n -98.80691528320311,\n 29.699982298744377\n ],\n [\n -98.80691528320311,\n 29.489815619374962\n ],\n [\n -98.60916137695312,\n 29.48383858387499\n ],\n [\n -98.316650390625,\n 29.597341920567366\n ],\n [\n -98.09280395507812,\n 29.685666670118724\n ],\n [\n -97.99942016601562,\n 29.757224408272663\n ],\n [\n -98.0364990234375,\n 29.852555290064018\n ],\n [\n -98.30017089843749,\n 30.0405664305846\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Texas Water Science Center
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Digital geospatial datasets of the extents and top elevations of the regional hydrogeologic units of the Northern Atlantic Coastal Plain aquifer system from Long Island, New York, to northeastern North Carolina were developed to provide an updated hydrogeologic framework to support analysis of groundwater resources. The 19 regional hydrogeologic units were delineated by elevation grids and extent polygons for 20 layers: the land and bathymetric surface at the top of the unconfined surficial aquifer, the upper surfaces of 9 confined aquifers and 9 confining units, and the bedrock surface that defines the base of all Northern Atlantic Coastal Plain sediments. The delineation of the regional hydrogeologic units relied on the interpretive work from source reports for New York, New Jersey, Delaware and Maryland, Virginia, and North Carolina rather than from re-analysis of fundamental hydrogeologic data. This model of regional hydrogeologic unit geometries represents interpolation, extrapolation, and generalization of the earlier interpretive work. Regional units were constructed from available digital data layers from the source studies in order to extend units consistently across political boundaries and approximate units in offshore areas.
Though many of the Northern Atlantic Coastal Plain hydrogeologic units may extend eastward as far as the edge of the Atlantic Continental Shelf, the modeled boundaries of all regional hydrogeologic units in this study were clipped to an area approximately defined by the furthest offshore extent of fresh to brackish water in any part of the aquifer system, as indicated by chloride concentrations of 10,000 milligrams per liter. Elevations and extents of units that do not exist onshore in Long Island, New York, were not included north of New Jersey. Hydrogeologic units in North Carolina were included primarily to provide continuity across the Virginia-North Carolina State boundary, which was important for defining the southern edge of the Northern Atlantic Coastal Plain study area.
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Geospatial data, often embedded with geographic references, are important to many application and science domains, and represent a major type of big data. The increased volume and diversity of geospatial data have caused serious usability issues for researchers in various scientific domains, which call for innovative cyberGIS solutions. To address these issues, this paper describes a cyberGIS community data service framework to facilitate geospatial big data access, processing, and sharing based on a hybrid supercomputer architecture. Through the collaboration between the CyberGIS Center at the University of Illinois at Urbana-Champaign (UIUC) and the U.S. Geological Survey (USGS), a community data service for accessing, customizing, and sharing digital elevation model (DEM) and its derived datasets from the 10-meter national elevation dataset, namely TopoLens, is created to demonstrate the workflow integration of geospatial big data sources, computation, analysis needed for customizing the original dataset for end user needs, and a friendly online user environment. TopoLens provides online access to precomputed and on-demand computed high-resolution elevation data by exploiting the ROGER supercomputer. The usability of this prototype service has been acknowledged in community evaluation.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"ACM","doi":"10.1145/2949550.2949652","usgsCitation":"Hu, H., Hong, X., Terstriep, J., Liu, Y., Finn, M.P., Rush, J., Wendel, J., and Wang, S., 2016, TopoLens: Building a cyberGIS community data service for enhancing the usability of high-resolution National Topographic datasets, in Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale, 8 p., https://doi.org/10.1145/2949550.2949652.","productDescription":"8 p.","ipdsId":"IP-075407","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":470253,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1145/2949550.2949652","text":"Publisher Index Page"},{"id":352022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-17","publicationStatus":"PW","scienceBaseUri":"5afee916e4b0da30c1bfc516","contributors":{"authors":[{"text":"Hu, Hao","contributorId":198962,"corporation":false,"usgs":false,"family":"Hu","given":"Hao","email":"","affiliations":[],"preferred":false,"id":717701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hong, Xingchen","contributorId":198963,"corporation":false,"usgs":false,"family":"Hong","given":"Xingchen","email":"","affiliations":[],"preferred":false,"id":717702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terstriep, Jeff","contributorId":198964,"corporation":false,"usgs":false,"family":"Terstriep","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":717703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Yan 0000-0003-2298-4728","orcid":"https://orcid.org/0000-0003-2298-4728","contributorId":196790,"corporation":false,"usgs":false,"family":"Liu","given":"Yan","email":"","affiliations":[],"preferred":false,"id":717704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":717700,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rush, Johnathan","contributorId":198965,"corporation":false,"usgs":false,"family":"Rush","given":"Johnathan","email":"","affiliations":[],"preferred":false,"id":717705,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wendel, Jeffrey 0000-0003-0294-0250 jwendel@usgs.gov","orcid":"https://orcid.org/0000-0003-0294-0250","contributorId":196792,"corporation":false,"usgs":true,"family":"Wendel","given":"Jeffrey","email":"jwendel@usgs.gov","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":717706,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Shaowen","contributorId":198966,"corporation":false,"usgs":false,"family":"Wang","given":"Shaowen","email":"","affiliations":[],"preferred":false,"id":717707,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70193058,"text":"70193058 - 2016 - The removal kinetics of dissolved organic matter and the optical clarity of groundwater","interactions":[],"lastModifiedDate":"2018-08-07T12:18:30","indexId":"70193058","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"The removal kinetics of dissolved organic matter and the optical clarity of groundwater","docAbstract":"Concentrations of dissolved organic matter (DOM) and ultraviolet/visible light absorbance decrease systematically as groundwater moves through the unsaturated zones overlying aquifers and along flowpaths within aquifers. These changes occur over distances of tens of meters (m) implying rapid removal kinetics of the chromophoric DOM that imparts color to groundwater. A one-compartment input-output model was used to derive a differential equation describing the removal of DOM from the dissolved phase due to the combined effects of biodegradation and sorption. The general solution to the equation was parameterized using a 2-year record of dissolved organic carbon (DOC) concentration changes in groundwater at a long-term observation well. Estimated rates of DOC loss were rapid and ranged from 0.093 to 0.21 micromoles per liter per day (μM d−1), and rate constants for DOC removal ranged from 0.0021 to 0.011 per day (d−1). Applying these removal rate constants to an advective-dispersion model illustrates substantial depletion of DOC over flow-path distances of 200 m or less and in timeframes of 2 years or less. These results explain the low to moderate DOC concentrations (20–75 μM; 0.26–1 mg L−1) and ultraviolet absorption coefficient values (a254 < 5 m−1) observed in groundwater produced from 59 wells tapping eight different aquifer systems of the United States. The nearly uniform optical clarity of groundwater, therefore, results from similarly rapid DOM-removal kinetics exhibited by geologically and hydrologically dissimilar aquifers.
","language":"English","publisher":"Springer","doi":"10.1007/s10040-016-1406-y","usgsCitation":"Chapelle, F.H., Shen, Y., Strom, E.W., and Benner, R., 2016, The removal kinetics of dissolved organic matter and the optical clarity of groundwater: Hydrogeology Journal, v. 24, no. 6, p. 1413-1422, https://doi.org/10.1007/s10040-016-1406-y.","productDescription":"10 p.","startPage":"1413","endPage":"1422","ipdsId":"IP-071739","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":470254,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-016-1406-y","text":"Publisher Index Page"},{"id":438468,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GB2257","text":"USGS data release","linkHelpText":"Data release for journal article entitled Removal Kinetics of Dissolved Organic Matter and the Optical Clarity of Groundwater - Supporting Data"},{"id":349215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Colorado, Connecticut, Georgia, Illinois, Nebraska, South Carolina, Texas, Utah","volume":"24","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-08","publicationStatus":"PW","scienceBaseUri":"5a60fc5ae4b06e28e9c23da4","contributors":{"authors":[{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shen, Yuan","contributorId":176364,"corporation":false,"usgs":false,"family":"Shen","given":"Yuan","email":"","affiliations":[],"preferred":false,"id":717773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strom, Eric W. ewstrom@usgs.gov","contributorId":337,"corporation":false,"usgs":true,"family":"Strom","given":"Eric","email":"ewstrom@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benner, Ronald","contributorId":57380,"corporation":false,"usgs":true,"family":"Benner","given":"Ronald","affiliations":[],"preferred":false,"id":717775,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70190046,"text":"70190046 - 2016 - Records of continental slope sediment flow morphodynamic responses to gradient and active faulting from integrated AUV and ROV data, offshore Palos Verdes, southern California Borderland","interactions":[],"lastModifiedDate":"2017-11-29T16:36:36","indexId":"70190046","displayToPublicDate":"2017-08-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Records of continental slope sediment flow morphodynamic responses to gradient and active faulting from integrated AUV and ROV data, offshore Palos Verdes, southern California Borderland","docAbstract":"Variations in seabed gradient are widely acknowledged to influence deep-water deposition, but are often difficult to measure in sufficient detail from both modern and ancient examples. On the continental slope offshore Los Angeles, California, autonomous underwater vehicle, remotely operated vehicle, and shipboard methods were used to collect a dense grid of high-resolution multibeam bathymetry, chirp sub-bottom profiles, and targeted sediment core samples that demonstrate the influence of seafloor gradient on sediment accumulation, depositional environment, grain size of deposits, and seafloor morphology. In this setting, restraining and releasing bends along the active right-lateral Palos Verdes Fault create and maintain variations in seafloor gradient. Holocene down-slope flows appear to have been generated by slope failure, primarily on the uppermost slope (~ 100–200 m water depth). Turbidity currents created a low relief (< 10 m) channel, up-slope migrating sediment waves (λ = ~ 100 m, h ≤ 2 m), and a series of depocenters that have accumulated up to 4 m of Holocene sediment. Sediment waves increase in wavelength and decrease in wave height with decreasing gradient. Integrated analysis of high-resolution datasets provides quantification of morphodynamic sensitivity to seafloor gradients acting throughout deep-water depositional systems. These results help to bridge gaps in scale between existing deep-sea and experimental datasets and may provide constraints for future numerical modeling studies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.10.001","usgsCitation":"Maier, K., Brothers, D.S., Paull, C.K., McGann, M., Caress, D.W., and Conrad, J.E., 2016, Records of continental slope sediment flow morphodynamic responses to gradient and active faulting from integrated AUV and ROV data, offshore Palos Verdes, southern California Borderland: Marine Geology, v. 393, p. 47-66, https://doi.org/10.1016/j.margeo.2016.10.001.","productDescription":"20 p.","startPage":"47","endPage":"66","ipdsId":"IP-074023","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2016.10.001","text":"Publisher Index Page"},{"id":344624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"393","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59897c15e4b09fa1cb0c2c0c","contributors":{"authors":[{"text":"Maier, Katherine L.","contributorId":91411,"corporation":false,"usgs":true,"family":"Maier","given":"Katherine L.","affiliations":[],"preferred":false,"id":707301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":167089,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":707302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paull, Charles K. 0000-0001-5940-3443","orcid":"https://orcid.org/0000-0001-5940-3443","contributorId":55825,"corporation":false,"usgs":false,"family":"Paull","given":"Charles","email":"","middleInitial":"K.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":true,"id":707303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":707304,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caress, David W.","contributorId":147392,"corporation":false,"usgs":false,"family":"Caress","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":16837,"text":"MBARI","active":true,"usgs":false}],"preferred":false,"id":707305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":707306,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189622,"text":"70189622 - 2016 - Helium as a tracer for fluids released from Juan de Fuca lithosphere beneath the Cascadia forearc","interactions":[],"lastModifiedDate":"2017-07-19T11:01:43","indexId":"70189622","displayToPublicDate":"2017-07-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1756,"text":"Geochemistry International","active":true,"publicationSubtype":{"id":10}},"title":"Helium as a tracer for fluids released from Juan de Fuca lithosphere beneath the Cascadia forearc","docAbstract":"The ratio between helium isotopes (3He/4He) provides an excellent geochemical tracer for investigating the sources of fluids sampled at the Earth's surface. 3He/4He values observed in 25 mineral springs and wells above the Cascadia forearc document a significant component of mantle-derived helium above Juan de Fuca lithosphere, as well as variability in 3He enrichment across the forearc. Sample sites arcward of the forearc mantle corner (FMC) generally yield significantly higher ratios (1.2-4.0 RA) than those seaward of the corner (0.03-0.7 RA). The highest ratios in the Cascadia forearc coincide with slab depths (40-45 km) where metamorphic dehydration of young oceanic lithosphere is expected to release significant fluid and where tectonic tremor occurs, whereas little fluid is expected to be released from the slab depths (25-30 km) beneath sites seaward of the corner.Tremor (considered a marker for high fluid pressure) and high RA values in the forearc are spatially correlated. The Cascadia tremor band is centered on its FMC, and we tentatively postulate that hydrated forearc mantle beneath Cascadia deflects a significant portion of slab-derived fluids updip along the subduction interface, to vent in the vicinity of its corner. Furthermore, high RA values within the tremor band just arcward of the FMC, suggest that the innermost mantle wedge is relatively permeable.Conceptual models require: (1) a deep fluid source as a medium to transport primordial 3He; (2) conduits through the lithosphere which serve to speed fluid ascent to the surface before significant dilution from radiogenic 4He can occur; and (3) near lithostatic fluid pressure to keep conduits open. Our spatial correlation between high RA values and tectonic tremor provides independent evidence that tremor is associated with deep fluids, and it further suggests that high pore pressures associated with tremor may serve to keep fractures open for 3He migration through ductile upper mantle and lower crust.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GC006198","usgsCitation":"McCrory, P.A., Constantz, J., Hunt, A.G., and Blair, J.L., 2016, Helium as a tracer for fluids released from Juan de Fuca lithosphere beneath the Cascadia forearc: Geochemistry International, v. 17, no. 6, p. 2423-2449, https://doi.org/10.1002/2015GC006198.","productDescription":"16 p.","startPage":"2423","endPage":"2449","ipdsId":"IP-065405","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":344014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 165.498046875,\n -46.164614496897094\n ],\n [\n 165.849609375,\n -46.8000594467873\n ],\n [\n 166.376953125,\n -47.4578085307503\n ],\n [\n 168.837890625,\n -47.98992166741417\n ],\n [\n 169.716796875,\n -47.813154517527664\n ],\n [\n 170.859375,\n -46.92025531537451\n ],\n [\n 171.9140625,\n -46.31658418182218\n ],\n [\n 172.96875,\n -45.213003555993964\n ],\n [\n 174.19921875,\n -44.24519901522128\n ],\n [\n 174.462890625,\n -43.42100882994724\n ],\n [\n 175.60546875,\n -42.45588764197166\n ],\n [\n 176.70410156249997,\n -41.37680856570234\n ],\n [\n 177.5830078125,\n -40.48038142908171\n ],\n [\n 178.5498046875,\n -39.605688178320804\n ],\n [\n 179.1650390625,\n -37.85750715625203\n ],\n [\n 178.8134765625,\n -36.87962060502676\n ],\n [\n 178.41796874999997,\n -36.20882309283712\n ],\n [\n 177.5830078125,\n -35.24561909420681\n ],\n [\n 176.66015625,\n -34.234512362369856\n ],\n [\n 175.166015625,\n -34.089061315849946\n ],\n [\n 174.111328125,\n -33.87041555094182\n ],\n [\n 172.3095703125,\n -33.7243396617476\n ],\n [\n 172.001953125,\n -34.415973384481866\n ],\n [\n 172.001953125,\n -35.281500657891186\n ],\n [\n 172.44140625,\n -36.13787471840727\n ],\n [\n 173.84765625,\n -36.84446074079562\n ],\n [\n 174.28710937499997,\n -37.579412513438385\n ],\n [\n 174.28710937499997,\n -38.5825261593533\n ],\n [\n 173.3642578125,\n -39.43619299931407\n ],\n [\n 173.583984375,\n -39.84228602074339\n ],\n [\n 173.2763671875,\n -40.27952566881291\n ],\n [\n 172.001953125,\n -40.51379915504413\n ],\n [\n 171.474609375,\n -41.244772343082076\n ],\n [\n 170.3759765625,\n -42.68243539838621\n ],\n [\n 169.5849609375,\n -43.389081939117496\n ],\n [\n 168.3544921875,\n -43.86621800655639\n ],\n [\n 167.51953124999997,\n -44.24519901522128\n ],\n [\n 166.728515625,\n -44.715513732021336\n ],\n [\n 166.3330078125,\n -45.52174389699363\n ],\n [\n 165.498046875,\n -46.164614496897094\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-25","publicationStatus":"PW","scienceBaseUri":"59706fb6e4b0d1f9f065a890","contributors":{"authors":[{"text":"McCrory, Patricia A. 0000-0003-2471-0018 pmccrory@usgs.gov","orcid":"https://orcid.org/0000-0003-2471-0018","contributorId":2728,"corporation":false,"usgs":true,"family":"McCrory","given":"Patricia","email":"pmccrory@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Constantz, James E. 0000-0002-4062-2096 jconstan@usgs.gov","orcid":"https://orcid.org/0000-0002-4062-2096","contributorId":1962,"corporation":false,"usgs":true,"family":"Constantz","given":"James E.","email":"jconstan@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":705471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":705472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blair, J. Luke 0000-0002-6980-6446 lblair@usgs.gov","orcid":"https://orcid.org/0000-0002-6980-6446","contributorId":4146,"corporation":false,"usgs":true,"family":"Blair","given":"J.","email":"lblair@usgs.gov","middleInitial":"Luke","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705473,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189626,"text":"70189626 - 2016 - An investigation of soil-structure interaction effects observed at the MIT Green Building","interactions":[],"lastModifiedDate":"2017-07-19T10:40:23","indexId":"70189626","displayToPublicDate":"2017-07-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"An investigation of soil-structure interaction effects observed at the MIT Green Building","docAbstract":"The soil-foundation impedance function of the MIT Green Building is identified from its response signals recorded during an earthquake. Estimation of foundation impedance functions from seismic response signals is a challenging task, because: (1) the foundation input motions (FIMs) are not directly measurable, (2) the as-built properties of the super-structure are only approximately known, and (3) the soil-foundation impedance functions are inherently frequency-dependent. In the present study, aforementioned difficulties are circumvented by using, in succession, a blind modal identification (BMID) method, a simplified Timoshenko beam model (TBM), and a parametric updating of transfer functions (TFs). First, the flexible-base modal properties of the building are identified from response signals using the BMID method. Then, a flexible-base TBM is updated using the identified modal data. Finally, the frequency-dependent soil-foundation impedance function is estimated by minimizing the discrepancy between TFs (of pairs instrumented floors) that are (1) obtained experimentally from earthquake data and (2) analytically from the updated TBM. Using the fully identified flexible-base TBM, the FIMs as well as building responses at locations without instruments can be predicted, as demonstrated in the present study.
","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1193/072215EQS118M","usgsCitation":"Taciroglu, E., Çelebi, M., Ghahari, S.F., and Abazarsa, F., 2016, An investigation of soil-structure interaction effects observed at the MIT Green Building: Earthquake Spectra, v. 32, no. 4, p. 2425-2448, https://doi.org/10.1193/072215EQS118M.","productDescription":"24 p.","startPage":"2425","endPage":"2448","ipdsId":"IP-067185","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":344009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachussets","city":"Cambridge","otherGeospatial":"MIT Green Building","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.11175537109375,\n 42.34547721740614\n ],\n [\n -71.06609344482422,\n 42.34547721740614\n ],\n [\n -71.06609344482422,\n 42.36704215735293\n ],\n [\n -71.11175537109375,\n 42.36704215735293\n ],\n [\n -71.11175537109375,\n 42.34547721740614\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-01","publicationStatus":"PW","scienceBaseUri":"59706fb6e4b0d1f9f065a88d","contributors":{"authors":[{"text":"Taciroglu, Ertugrul","contributorId":176616,"corporation":false,"usgs":false,"family":"Taciroglu","given":"Ertugrul","email":"","affiliations":[],"preferred":false,"id":705484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Çelebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":3205,"corporation":false,"usgs":true,"family":"Çelebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":705483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ghahari, S. 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Over the past two decades, the geographic range of I. pacificus has changed modestly while, in contrast, the I. scapularis range has expanded substantially, which likely contributes to the concurrent expansion in the distribution of human Lyme disease cases in the Northeastern, North-Central and Mid-Atlantic states. Identifying counties that contain suitable habitat for these ticks that have not yet reported established vector populations can aid in targeting limited vector surveillance resources to areas where tick invasion and potential human risk are likely to occur. We used county-level vector distribution information and ensemble modeling to map the potential distribution of I. scapularis and I. pacificus in the contiguous United States as a function of climate, elevation, and forest cover. Results show that I. pacificus is currently present within much of the range classified by our model as suitable for establishment. In contrast, environmental conditions are suitable for I. scapularis to continue expanding its range into northwestern Minnesota, central and northern Michigan, within the Ohio River Valley, and inland from the southeastern and Gulf coasts. Overall, our ensemble models show suitable habitat for I. scapularis in 441 eastern counties and for I. pacificus in 11 western counties where surveillance records have not yet supported classification of the counties as established.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jme/tjw076","usgsCitation":"Hahn, M., Jarnevich, C.S., Monaghan, A.J., and Eisen, R.J., 2016, Modeling the geographic distribution of Ixodes scapularis and Ixodes pacificus (Acari: Ixodidae) in the contiguous United States: Journal of Medical Entomology, v. 53, no. 5, p. 1176-1191, https://doi.org/10.1093/jme/tjw076.","productDescription":"16 p.","startPage":"1176","endPage":"1191","ipdsId":"IP-073160","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470256,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jme/tjw076","text":"Publisher Index Page"},{"id":335181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}\n","volume":"53","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-09","publicationStatus":"PW","scienceBaseUri":"593e2521e4b0764e6c61b72d","contributors":{"authors":[{"text":"Hahn, Micah","contributorId":179215,"corporation":false,"usgs":false,"family":"Hahn","given":"Micah","email":"","affiliations":[],"preferred":false,"id":663155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":663154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Monaghan, Andrew J.","contributorId":179216,"corporation":false,"usgs":false,"family":"Monaghan","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":663156,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eisen, Rebecca J.","contributorId":179217,"corporation":false,"usgs":false,"family":"Eisen","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":663157,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187160,"text":"70187160 - 2016 - Hydrologic exchange flows and their ecological consequences in river corridors","interactions":[],"lastModifiedDate":"2020-08-20T20:03:41.486146","indexId":"70187160","displayToPublicDate":"2017-04-26T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"Hydrologic exchange flows and their ecological consequences in river corridors","docAbstract":"The actively flowing waters of streams and rivers remain in close contact with surrounding off-channel and subsurface environments. These hydrologic linkages between relatively fast flowing channel waters, with more slowly flowing waters off-channel and in the subsurface, are collectively referred to as hydrologic exchange flows (HEFs). HEFs include surface exchange with a channel’s marginal areas and subsurface flow through the streambed (hyporheic flow), as well as storm-driven bank storage and overbank flows onto floodplains. HEFs are important, not only for storing water and attenuating flood peaks, but also for their role in influencing water conservation, water quality improvement, and related outcomes for ecological values and services of aquatic ecosystems. Biogeochemical opportunities for chemical transformations are increased by HEFs as a result of the prolonged contact between flowing waters and geochemically and microbially active surfaces of sediments and vegetation. Chemical processing is intensified and water quality is often improved by removal of excess nutrients, metals, and organic contaminants from flowing waters. HEFs also are important regulators of organic matter decomposition, nutrient recycling, and stream metabolism that helps establish a balanced and resilient aquatic food web. The shallow and protected storage zones associated with HEFs support nursery and feeding areas for aquatic organisms that sustain aquatic biological diversity. Understanding of these varied roles for HEFs has been driven by the related disciplines of stream ecology, fluvial geomorphology, surface-water hydraulics, and groundwater hydrology. A current research emphasis is on the role that HEFs play in altered flow regimes, including restoration to achieve diverse goals, such as expanding aquatic habitats and managing dissolved and suspended river loads to reduce over-fertilization of coastal waters and offset wetland loss. New integrative concepts and models are emerging (eg, hydrologic connectivity) that emphasize HEF functions in river corridors over a wide range of spatial and temporal scales.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Stream ecosystems in a changing environment","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-405890-3.00001-4","usgsCitation":"Harvey, J., 2016, Hydrologic exchange flows and their ecological consequences in river corridors, chap. 1 of Stream ecosystems in a changing environment, p. 1-83, https://doi.org/10.1016/B978-0-12-405890-3.00001-4.","productDescription":"84 p.","startPage":"1","endPage":"83","ipdsId":"IP-069432","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":340429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bae4b0c2e071a99b94","contributors":{"authors":[{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":692865,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70161898,"text":"70161898 - 2016 - Assessing the seismic risk potential of South America","interactions":[],"lastModifiedDate":"2017-04-25T10:36:02","indexId":"70161898","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Assessing the seismic risk potential of South America","docAbstract":"We present here a simplified approach to quantifying regional seismic risk. The seismic risk for a given region can be inferred in terms of average annual loss (AAL) that represents long-term value of earthquake losses in any one year caused from a long-term seismic hazard. The AAL are commonly measured in the form of earthquake shaking-induced deaths, direct economic impacts or indirect losses caused due to loss of functionality. In the context of South American subcontinent, the analysis makes use of readily available public data on seismicity, population exposure, and the hazard and vulnerability models for the region. The seismic hazard model was derived using available seismic catalogs, fault databases, and the hazard methodologies that are analogous to the U.S. Geological Survey’s national seismic hazard mapping process. The Prompt Assessment of Global Earthquakes for Response (PAGER) system’s direct empirical vulnerability functions in terms of fatality and economic impact were used for performing exposure and risk analyses. The broad findings presented and the risk maps produced herein are preliminary, yet they do offer important insights into the underlying zones of high and low seismic risks in the South American subcontinent. A more detailed analysis of risk may be warranted by engaging local experts, especially in some of the high risk zones identified through the present investigation.
","language":"English","publisher":"European Association for Earthquake Engineering","usgsCitation":"Jaiswal, K.S., Petersen, M.D., Harmsen, S., and Smoczyk, G.M., 2016, Assessing the seismic risk potential of South America, 12 p.","productDescription":"12 p.","ipdsId":"IP-056093","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":340238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340237,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.eaee.org/proceedings-of-2ecces-eaee-sessions"}],"otherGeospatial":"South America","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006063e4b0e85db3a5ddd5","contributors":{"authors":[{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harmsen, Stephen harmsen@usgs.gov","contributorId":152128,"corporation":false,"usgs":true,"family":"Harmsen","given":"Stephen","email":"harmsen@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smoczyk, Gregory M. 0000-0002-6591-4060 gsmoczyk@usgs.gov","orcid":"https://orcid.org/0000-0002-6591-4060","contributorId":5239,"corporation":false,"usgs":true,"family":"Smoczyk","given":"Gregory","email":"gsmoczyk@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588071,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176282,"text":"70176282 - 2016 - Contributions of moderately low flows and large floods to geomorphic change in the Rio Puerco Arroyo, New Mexico","interactions":[],"lastModifiedDate":"2017-04-19T13:38:17","indexId":"70176282","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Contributions of moderately low flows and large floods to geomorphic change in the Rio Puerco Arroyo, New Mexico","docAbstract":"Abstract—From the mid-1800s to around 1930, monsoonal floods incised an arroyo roughly 100 m wide and 10 m deep along the lower Rio Puerco, NM, from the confluence with the Rio San Jose downstream to the mouth at the Rio Grande, causing sedimentation and flooding downstream. Since the 1930s, the channel has greatly narrowed, a densely vegetated floodplain has developed, the arroyo has partly filled, and downstream sedimentation has greatly decreased. Application of herbicide to a 12-km reach of the arroyo in 2003 to control non-native saltcedar (Tamarix spp.) prompted ongoing studies of channel change in the presence and absence of dense, riparian, woody vegetation. We used digital terrain models and satellite imagery to quantify changes in channel width and location in the sprayed reach and in an unsprayed reach downstream during a moderately low-flow interval (November 2006 to March 2010) and during an interval with a large flood (March 2010 to January/February 2014). Channel width increased in magnitude and variability in the sprayed reach but not in the unsprayed reach over both intervals, continuing a pattern first observed in an earlier study of the period 2003 to 2006. Since the herbicide application in 2003, there have been a total of five meander cutoffs in the sprayed reach and none in the unsprayed reach. In kilometer-long sections of the sprayed reach, channel width is now approaching that at the beginning of the period of channel narrowing in 1935.","largerWorkTitle":"New Mexico Fall Field Conference Guidebook","language":"English","usgsCitation":"Griffin, E.R., and Friedman, J.M., 2016, Contributions of moderately low flows and large floods to geomorphic change in the Rio Puerco Arroyo, New Mexico, in New Mexico Fall Field Conference Guidebook, p. 439-446.","productDescription":"8 p.","startPage":"439","endPage":"446","ipdsId":"IP-072814","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":339975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339974,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://nmgs.nmt.edu/publications/guidebooks/67/"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Puerco 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friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":648195,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174150,"text":"70174150 - 2016 - The Impacts of flow alterations to crayfishes in Southeastern Oklahoma, with an emphasis on the mena crayfish (orconectes menae)","interactions":[],"lastModifiedDate":"2017-04-19T14:18:14","indexId":"70174150","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"105-2014","title":"The Impacts of flow alterations to crayfishes in Southeastern Oklahoma, with an emphasis on the mena crayfish (orconectes menae)","docAbstract":"Human activities can alter the environment to the point that it is unsuitable to the native species resulting in a loss of biodiversity. Ecologists understand the importance of biodiversity and the conservation of vulnerable species. Species that are narrowly endemic are considered to be particularly vulnerable because they often use specific habitats that are highly susceptible to human disturbance. The basic components of species conservation are 1) delineation of the spatial distribution of the species, 2) understanding how the species interacts with its environment, and 3) employing management strategies based on the ecology of the species. In this study, we investigated several crayfish species endemic to the Ouachita Mountains in Oklahoma and Arkansas. We established the spatial distributions (i.e., range) of the crayfish using Maximum Entropy species distribution modeling. We then investigated crayfish habitat use with quantitative sampling and a paired movement study. Finally, we evaluated the ability of crayfish to burrow under different environmental conditions in a controlled laboratory setting. Crayfish distribution at the landscape scale was largely driven by climate, geology and elevation. In general, the endemic crayfish in this study occurred above 300-m elevation where the geology was dominated by sandstone and shale, and rainfall totals were the highest compared to the rest of the study region. Our quantitative data indicated crayfish did not select for specific habitat types at the reach scale; however, crayfish appeared to continue to use shallow and dry habitat even as the streams dried. Movement by passive integrated transponder (PIT) tagged crayfish was highly variable but crayfish tended to burrow in response to drought rather than migrate to wet habitat. Controlled laboratory experiments revealed smaller substrate size (pebble) restricted crayfish burrowing more than larger substrates (cobble). We also found excess fine sediment restricted crayfish burrowing regardless of dominant substrate size. Our results suggest climate change and sedimentation resulting from land-use practices, combined with increased water withdrawals have the potential to alter crayfish distributions and affect persistence of some crayfish populations.
","language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"OK","usgsCitation":"Brewer, S.K., and Dyer, J.J., 2016, The Impacts of flow alterations to crayfishes in Southeastern Oklahoma, with an emphasis on the mena crayfish (orconectes menae), ii, 103 p.","productDescription":"ii, 103 p.","ipdsId":"IP-054991","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":339982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339981,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/ref/collection/document/id/2056"}],"country":"United States","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877b2e4b0b7ea54521c0b","contributors":{"authors":[{"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":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":640997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dyer, Joseph J.","contributorId":140681,"corporation":false,"usgs":false,"family":"Dyer","given":"Joseph","email":"","middleInitial":"J.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":692197,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193676,"text":"70193676 - 2016 - Prediction of lake depth across a 17-state region in the United States","interactions":[],"lastModifiedDate":"2018-01-24T16:07:57","indexId":"70193676","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Prediction of lake depth across a 17-state region in the United States","docAbstract":"Lake depth is an important characteristic for understanding many lake processes, yet it is unknown for the vast majority of lakes globally. Our objective was to develop a model that predicts lake depth using map-derived metrics of lake and terrestrial geomorphic features. Building on previous models that use local topography to predict lake depth, we hypothesized that regional differences in topography, lake shape, or sedimentation processes could lead to region-specific relationships between lake depth and the mapped features. We therefore used a mixed modeling approach that included region-specific model parameters. We built models using lake and map data from LAGOS, which includes 8164 lakes with maximum depth (Zmax) observations. The model was used to predict depth for all lakes ≥4 ha (n = 42 443) in the study extent. Lake surface area and maximum slope in a 100 m buffer were the best predictors of Zmax. Interactions between surface area and topography occurred at both the local and regional scale; surface area had a larger effect in steep terrain, so large lakes embedded in steep terrain were much deeper than those in flat terrain. Despite a large sample size and inclusion of regional variability, model performance (R2 = 0.29, RMSE = 7.1 m) was similar to other published models. The relative error varied by region, however, highlighting the importance of taking a regional approach to lake depth modeling. Additionally, we provide the largest known collection of observed and predicted lake depth values in the United States.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/IW-6.3.957","usgsCitation":"Oliver, S., Soranno, P.A., Fergus, C.E., Wagner, T., Winslow, L., Scott, C.E., Webster, K.E., Downing, J., and Stanley, E.H., 2016, Prediction of lake depth across a 17-state region in the United States: Inland Waters, v. 6, no. 3, p. 314-324, https://doi.org/10.1080/IW-6.3.957.","productDescription":"11 p.","startPage":"314","endPage":"324","ipdsId":"IP-071256","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"6","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-02","publicationStatus":"PW","scienceBaseUri":"5a60fc5ae4b06e28e9c23da8","contributors":{"authors":[{"text":"Oliver, Samantha K.","contributorId":169273,"corporation":false,"usgs":false,"family":"Oliver","given":"Samantha K.","affiliations":[],"preferred":false,"id":721804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soranno, Patricia A.","contributorId":172104,"corporation":false,"usgs":false,"family":"Soranno","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fergus, C. Emi","contributorId":150608,"corporation":false,"usgs":false,"family":"Fergus","given":"C.","email":"","middleInitial":"Emi","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":721806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winslow, Luke A. lwinslow@usgs.gov","contributorId":139775,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke A.","email":"lwinslow@usgs.gov","affiliations":[],"preferred":false,"id":721807,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, Caren E.","contributorId":172184,"corporation":false,"usgs":false,"family":"Scott","given":"Caren","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721808,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Webster, Katherine E.","contributorId":147903,"corporation":false,"usgs":false,"family":"Webster","given":"Katherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721809,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Downing, John A.","contributorId":70348,"corporation":false,"usgs":true,"family":"Downing","given":"John A.","affiliations":[],"preferred":false,"id":721810,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":721811,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70185576,"text":"70185576 - 2016 - Downstream passage and impact of turbine shutdowns on survival of silver American Eels at five hydroelectric dams on the Shenandoah River","interactions":[],"lastModifiedDate":"2017-03-24T10:26:18","indexId":"70185576","displayToPublicDate":"2017-03-24T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Downstream passage and impact of turbine shutdowns on survival of silver American Eels at five hydroelectric dams on the Shenandoah River","docAbstract":"Hydroelectric dams impact the downstream migrations of silver American Eels Anguilla rostrata via migratory delays and turbine mortality. A radiotelemetry study of American Eels was conducted to determine the impacts of five run-of-the-river hydroelectric dams located over a 195-km stretch of the Shenandoah River, Virginia–West Virginia, during fall 2007–summer 2010. Overall, 96 radio-tagged individuals (mean TL = 85.4 cm) migrated downstream past at least one dam during the study. Most American Eels passed dams relatively quickly; over half (57.9%) of the dam passage events occurred within 1 h of reaching a dam, and most (81.3%) occurred within 24 h of reaching the dam. Two-thirds of the dam passage events occurred via spill, and the remaining passage events were through turbines. Migratory delays at dams were shorter and American Eels were more likely to pass via spill over the dam during periods of high river discharge than during low river discharge. The extent of delay in migration did not differ between the passage routes (spill versus turbine). Twenty-eight American Eels suffered turbine-related mortality, which occurred at all five dams. Mortality rates for eels passing through turbines ranged from 15.8% to 40.7% at individual dams. Overall project-specific mortality rates (with all passage routes combined) ranged from 3.0% to 14.3%. To protect downstream-migrating American Eels, nighttime turbine shutdowns (1800–0600 hours) were implemented during September 15–December 15. Fifty percent of all downstream passage events in the study occurred during the turbine shutdown period. Implementation of the seasonal turbine shutdown period reduced cumulative mortality from 63.3% to 37.3% for American Eels passing all five dams. Modifying the turbine shutdown period to encompass more dates in the spring and linking the shutdowns to environmental conditions could provide greater protection to downstream-migrating American Eels.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"New York, NY","doi":"10.1080/00028487.2016.1176954","usgsCitation":"Eyler, S., Welsh, S., Smith, D.R., and Rockey, M., 2016, Downstream passage and impact of turbine shutdowns on survival of silver American Eels at five hydroelectric dams on the Shenandoah River: Transactions of the American Fisheries Society, v. 145, no. 5, p. 964-976, https://doi.org/10.1080/00028487.2016.1176954.","productDescription":"13 p.","startPage":"964","endPage":"976","ipdsId":"IP-078753","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":338259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia, West Virginia","otherGeospatial":"Shenandoah River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": 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,{"id":70185577,"text":"70185577 - 2016 - Use of multiple age tracers to estimate groundwater residence times and long-term recharge rates in arid southern Oman","interactions":[],"lastModifiedDate":"2017-03-24T10:13:56","indexId":"70185577","displayToPublicDate":"2017-03-24T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Use of multiple age tracers to estimate groundwater residence times and long-term recharge rates in arid southern Oman","docAbstract":"Multiple age tracers were measured to estimate groundwater residence times in the regional aquifer system underlying southwestern Oman. This area, known as the Najd, is one of the most arid areas in the world and is planned to be the main agricultural center of the Sultanate of Oman in the near future. The three isotopic age tracers 4He, 14C and 36Cl were measured in waters collected from wells along a line that extended roughly from the Dhofar Mountains near the Arabian Sea northward 400 km into the Empty Quarter of the Arabian Peninsula. The wells sampled were mostly open to the Umm Er Radhuma confined aquifer, although, some were completed in the mostly unconfined Rus aquifer. The combined results from the three tracers indicate the age of the confined groundwater is < 40 ka in the recharge area in the Dhofar Mountains, > 100 ka in the central section north of the mountains, and up to and > one Ma in the Empty Quarter. The 14C data were used to help calibrate the 4He and 36Cl data. Mixing models suggest that long open boreholes north of the mountains compromise 14C-only interpretations there, in contrast to 4He and 36Cl calculations that are less sensitive to borehole mixing. Thus, only the latter two tracers from these more distant wells were considered reliable. In addition to the age tracers, δ2H and δ18O data suggest that seasonal monsoon and infrequent tropical cyclones are both substantial contributors to the recharge. The study highlights the advantages of using multiple chemical and isotopic data when estimating groundwater travel times and recharge rates, and differentiating recharge mechanisms.
","language":"English","publisher":"International Association of Geochemistry and Cosmochemistry","publisherLocation":"Oxford","doi":"10.1016/j.apgeochem.2016.08.012","usgsCitation":"Muller, T., Osenbruck, K., Strauch, G., Pavetich, S., Al-Mashaikhi, K., Herb, C., Merchel, S., Rugel, G., Aeschbach, W., and Sanford, W.E., 2016, Use of multiple age tracers to estimate groundwater residence times and long-term recharge rates in arid southern Oman: Applied Geochemistry, v. 74, p. 67-83, https://doi.org/10.1016/j.apgeochem.2016.08.012.","productDescription":"17 p.","startPage":"67","endPage":"83","ipdsId":"IP-078864","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":338256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Oman","otherGeospatial":"Dhofar Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": 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K.","contributorId":189782,"corporation":false,"usgs":false,"family":"Osenbruck","given":"K.","email":"","affiliations":[],"preferred":false,"id":686035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strauch, G.","contributorId":189783,"corporation":false,"usgs":false,"family":"Strauch","given":"G.","email":"","affiliations":[],"preferred":false,"id":686016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pavetich, S.","contributorId":189784,"corporation":false,"usgs":false,"family":"Pavetich","given":"S.","email":"","affiliations":[],"preferred":false,"id":686017,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Al-Mashaikhi, K.-S.","contributorId":189785,"corporation":false,"usgs":false,"family":"Al-Mashaikhi","given":"K.-S.","email":"","affiliations":[],"preferred":false,"id":686036,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herb, C.","contributorId":189786,"corporation":false,"usgs":false,"family":"Herb","given":"C.","email":"","affiliations":[],"preferred":false,"id":686019,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Merchel, S.","contributorId":189787,"corporation":false,"usgs":false,"family":"Merchel","given":"S.","email":"","affiliations":[],"preferred":false,"id":686020,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rugel, G.","contributorId":189788,"corporation":false,"usgs":false,"family":"Rugel","given":"G.","email":"","affiliations":[],"preferred":false,"id":686021,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Aeschbach, W.","contributorId":189789,"corporation":false,"usgs":false,"family":"Aeschbach","given":"W.","email":"","affiliations":[],"preferred":false,"id":686022,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":686013,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70185016,"text":"70185016 - 2016 - Adjusting particle-size distributions to account for aggregation in tephra-deposit model forecasts","interactions":[],"lastModifiedDate":"2017-03-13T14:38:13","indexId":"70185016","displayToPublicDate":"2017-03-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":922,"text":"Atmospheric Chemistry and Physics","active":true,"publicationSubtype":{"id":10}},"title":"Adjusting particle-size distributions to account for aggregation in tephra-deposit model forecasts","docAbstract":"Volcanic ash transport and dispersion (VATD) models are used to forecast tephra deposition during volcanic eruptions. Model accuracy is limited by the fact that fine-ash aggregates (clumps into clusters), thus altering patterns of deposition. In most models this is accounted for by ad hoc changes to model input, representing fine ash as aggregates with density ρagg, and a log-normal size distribution with median μagg and standard deviation σagg. Optimal values may vary between eruptions. To test the variance, we used the Ash3d tephra model to simulate four deposits: 18 May 1980 Mount St. Helens; 16–17 September 1992 Crater Peak (Mount Spurr); 17 June 1996 Ruapehu; and 23 March 2009 Mount Redoubt. In 192 simulations, we systematically varied μagg and σagg, holding ρagg constant at 600 kg m−3. We evaluated the fit using three indices that compare modeled versus measured (1) mass load at sample locations; (2) mass load versus distance along the dispersal axis; and (3) isomass area. For all deposits, under these inputs, the best-fit value of μagg ranged narrowly between ∼ 2.3 and 2.7φ (0.20–0.15 mm), despite large variations in erupted mass (0.25–50 Tg), plume height (8.5–25 km), mass fraction of fine ( < 0.063 mm) ash (3–59 %), atmospheric temperature, and water content between these eruptions. This close agreement suggests that aggregation may be treated as a discrete process that is insensitive to eruptive style or magnitude. This result offers the potential for a simple, computationally efficient parameterization scheme for use in operational model forecasts. Further research may indicate whether this narrow range also reflects physical constraints on processes in the evolving cloud.
","language":"English","publisher":"European Geosciences Union","publisherLocation":"Katlenburg-Lindau","doi":"10.5194/acp-16-9399-2016","usgsCitation":"Mastin, L.G., Van Eaton, A.R., and Durant, A., 2016, Adjusting particle-size distributions to account for aggregation in tephra-deposit model forecasts: Atmospheric Chemistry and Physics, v. 16, p. 9399-9420, https://doi.org/10.5194/acp-16-9399-2016.","productDescription":"22 p.","startPage":"9399","endPage":"9420","ipdsId":"IP-065450","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470260,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/acp-16-9399-2016","text":"Publisher Index Page"},{"id":337450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-28","publicationStatus":"PW","scienceBaseUri":"58c7af9be4b0849ce9795e74","contributors":{"authors":[{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":683958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":683959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Durant, A.J.","contributorId":102289,"corporation":false,"usgs":true,"family":"Durant","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":683960,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70184336,"text":"70184336 - 2016 - Interactions of landscape disturbances and climate change dictate ecological pattern and process: spatial modeling of wildfire, insect, and disease dynamics under future climates","interactions":[],"lastModifiedDate":"2017-07-03T09:41:04","indexId":"70184336","displayToPublicDate":"2017-03-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Interactions of landscape disturbances and climate change dictate ecological pattern and process: spatial modeling of wildfire, insect, and disease dynamics under future climates","docAbstract":"Context
Interactions among disturbances, climate, and vegetation influence landscape patterns and ecosystem processes. Climate changes, exotic invasions, beetle outbreaks, altered fire regimes, and human activities may interact to produce landscapes that appear and function beyond historical analogs.
Objectives
We used the mechanistic ecosystem-fire process model FireBGCv2 to model interactions of wildland fire, mountain pine beetle (Dendroctonus ponderosae), and white pine blister rust (Cronartium ribicola) under current and future climates, across three diverse study areas.
Methods
We assessed changes in tree basal area as a measure of landscape response over a 300-year simulation period for the Crown of the Continent in north-central Montana, East Fork of the Bitterroot River in western Montana, and Yellowstone Central Plateau in western Wyoming, USA.
Results
Interacting disturbances reduced overall basal area via increased tree mortality of host species. Wildfire decreased basal area more than beetles or rust, and disturbance interactions modeled under future climate significantly altered landscape basal area as compared with no-disturbance and current climate scenarios. Responses varied among landscapes depending on species composition, sensitivity to fire, and pathogen and beetle suitability and susceptibility.
Conclusions
Understanding disturbance interactions is critical for managing landscapes because forest responses to wildfires, pathogens, and beetle attacks may offset or exacerbate climate influences, with consequences for wildlife, carbon, and biodiversity.
Methane emissions from streams and rivers have recently been recognized as an important component of global greenhouse budgets. Stream methane is lost as evasion to the atmosphere or in-stream methane oxidation. Previous studies have quantified evasion and oxidation with point-scale measurements. In this study, dissolved gases (methane, krypton) were injected into a coastal plain stream in North Carolina to quantify stream CH4 losses at the watershed scale. Stream-reach modeling yielded gas transfer and oxidation rate constants of 3.2 ± 0.5 and 0.5 ± 1.5 d–1, respectively, indicating a ratio of about 6:1. The resulting evasion and oxidation rates of 2.9 mmol m–2 d–1 and 1,140 nmol L–1 d–1, respectively, lie within ranges of published values. Similarly, the gas transfer velocity (K600) of 2.1 m d–1 is consistent with other gas tracer studies. This study illustrates the utility of dissolved-gas tracers for evaluating stream methane fluxes. In contrast to point measurements, this approach provides a larger watershed-scale perspective. Further work is needed to quantify the magnitude of these fluxes under varying conditions (e.g., stream temperature, nutrient load, gradient, flow rate) at regional and global scales before reliable bottom-up estimates of methane evasion can be determined at global scales.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b02224","usgsCitation":"Heilweil, V.M., Solomon, D., Darrah, T.H., Gilmore, T.E., and Genereux, D., 2016, A gas-tracer injection for evaluating the fate of methane in a coastal plain stream: Degassing versus in-stream oxidation: Environmental Science & Technology, v. 50, no. 19, p. 10504-10511, https://doi.org/10.1021/acs.est.6b02224.","productDescription":"8 p.","startPage":"10504","endPage":"10511","ipdsId":"IP-071116","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":336754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"19","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-15","publicationStatus":"PW","scienceBaseUri":"58b7eba3e4b01ccd5500badf","contributors":{"authors":[{"text":"Heilweil, Victor M. heilweil@usgs.gov","contributorId":837,"corporation":false,"usgs":true,"family":"Heilweil","given":"Victor","email":"heilweil@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":673746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solomon, D. Kip","contributorId":71441,"corporation":false,"usgs":true,"family":"Solomon","given":"D. Kip","affiliations":[],"preferred":false,"id":680431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Darrah, Thomas H.","contributorId":145769,"corporation":false,"usgs":false,"family":"Darrah","given":"Thomas","email":"","middleInitial":"H.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":680432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilmore, Troy E.","contributorId":187444,"corporation":false,"usgs":false,"family":"Gilmore","given":"Troy","email":"","middleInitial":"E.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":680433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Genereux, David P.","contributorId":43649,"corporation":false,"usgs":true,"family":"Genereux","given":"David P.","affiliations":[],"preferred":false,"id":680434,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70182786,"text":"70182786 - 2016 - Northern long-eared bat day-roosting and prescribed fire in the central Appalachians","interactions":[],"lastModifiedDate":"2017-03-14T09:58:10","indexId":"70182786","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Northern long-eared bat day-roosting and prescribed fire in the central Appalachians","docAbstract":"The northern long-eared bat (Myotis septentrionalis Trovessart) is a cavity-roosting species that forages in cluttered upland and riparian forests throughout the oak-dominated Appalachian and Central Hardwoods regions. Common prior to white-nose syndrome, the population of this bat species has declined to functional extirpation in some regions in the Northeast and Mid-Atlantic, including portions of the central Appalachians. Our long-term research in the central Appalachians has shown that maternity colonies of this species form non-random assorting networks in patches of suitable trees that result from long- and short-term forest disturbance processes, and that roost loss can occur with these disturbances. Following two consecutive prescribed burns on the Fernow Experimental Forest in the central Appalachians, West Virginia, USA, in 2007 to 2008, post-fire counts of suitable black locust (Robinia pseudoacacia L.; the most selected species for roosting) slightly decreased by 2012. Conversely, post-fire numbers of suitable maple (Acer spp. L.), primarily red maple (Acer rubrum L.), increased by a factor of three, thereby ameliorating black locust reduction. Maternity colony network metrics such as roost degree (use) and network density for two networks in the burned compartment were similar to the single network observed in unburned forest. However, roost clustering and degree of roost centralization was greater for the networks in the burned forest area. Accordingly, the short-term effects of prescribed fire are slightly or moderately positive in impact to day-roost habitat for the northern long-eared bat in the central Appalachians from a social dynamic perspective. Listing of northern long-eared bats as federally threatened will bring increased scrutiny of immediate fire impacts from direct take as well as indirect impacts from long-term changes to roosting and foraging habitat in stands being returned to historic fire-return conditions. Unfortunately, definitive impacts will remain speculative owing to the species’ current rarity and the paucity of forest stand data that considers tree condition or that adequately tracks snags spatially and temporally.
","language":"English","publisher":"Association for Fire Ecology","doi":"10.4996/fireecology.1202013","usgsCitation":"Ford, W., Silvis, A., Johnson, J.B., Edwards, J.W., and Karp, M., 2016, Northern long-eared bat day-roosting and prescribed fire in the central Appalachians: Fire Ecology, v. 12, no. 2, p. 13-27, https://doi.org/10.4996/fireecology.1202013.","productDescription":"15 p.","startPage":"13","endPage":"27","ipdsId":"IP-066208","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":461978,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4996/fireecology.1202013","text":"Publisher Index Page"},{"id":336785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Appalachian Mountains","volume":"12","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-01","publicationStatus":"PW","scienceBaseUri":"58b7eba2e4b01ccd5500badd","contributors":{"authors":[{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":673748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silvis, Alexander","contributorId":171585,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","email":"","affiliations":[{"id":26923,"text":"Virginia Polytechnic Institute, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":680475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Joshua B.","contributorId":171598,"corporation":false,"usgs":false,"family":"Johnson","given":"Joshua","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":680476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, John W.","contributorId":169827,"corporation":false,"usgs":false,"family":"Edwards","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":680477,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karp, Milu","contributorId":187455,"corporation":false,"usgs":false,"family":"Karp","given":"Milu","email":"","affiliations":[],"preferred":false,"id":680478,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195566,"text":"70195566 - 2016 - Implications of projected climate change for groundwater recharge in the western United States","interactions":[],"lastModifiedDate":"2018-09-25T09:42:36","indexId":"70195566","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Implications of projected climate change for groundwater recharge in the western United States","docAbstract":"Existing studies on the impacts of climate change on groundwater recharge are either global or basin/location-specific. The global studies lack the specificity to inform decision making, while the local studies do little to clarify potential changes over large regions (major river basins, states, or groups of states), a scale often important in the development of water policy. An analysis of the potential impact of climate change on groundwater recharge across the western United States (west of 100° longitude) is presented synthesizing existing studies and applying current knowledge of recharge processes and amounts. Eight representative aquifers located across the region were evaluated. For each aquifer published recharge budget components were converted into four standard recharge mechanisms: diffuse, focused, irrigation, and mountain-systems recharge. Future changes in individual recharge mechanisms and total recharge were then estimated for each aquifer. Model-based studies of projected climate-change effects on recharge were available and utilized for half of the aquifers. For the remainder, forecasted changes in temperature and precipitation were logically propagated through each recharge mechanism producing qualitative estimates of direction of changes in recharge only (not magnitude). Several key patterns emerge from the analysis. First, the available estimates indicate average declines of 10–20% in total recharge across the southern aquifers, but with a wide range of uncertainty that includes no change. Second, the northern set of aquifers will likely incur little change to slight increases in total recharge. Third, mountain system recharge is expected to decline across much of the region due to decreased snowpack, with that impact lessening with higher elevation and latitude. Factors contributing the greatest uncertainty in the estimates include: (1) limited studies quantitatively coupling climate projections to recharge estimation methods using detailed, process-based numerical models; (2) a generally poor understanding of hydrologic flowpaths and processes in mountain systems; (3) difficulty predicting the response of focused recharge to potential changes in the frequency and intensity of extreme precipitation events; and (4) unconstrained feedbacks between climate, irrigation practices, and recharge in highly developed aquifer systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2015.12.027","usgsCitation":"Meixner, T., Manning, A.H., Stonestrom, D.A., Allen, D.M., Ajami, H., Blasch, K.W., Brookfield, A.E., Castro, C.L., Clark, J., Gochis, D., Flint, A.L., Neff, K.L., Niraula, R., Rodell, M., Scanlon, B., Singha, K., and Walvoord, M.A., 2016, Implications of projected climate change for groundwater recharge in the western United States: Journal of Hydrology, v. 534, p. 124-138, https://doi.org/10.1016/j.jhydrol.2015.12.027.","productDescription":"15 p.","startPage":"124","endPage":"138","ipdsId":"IP-061996","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":470263,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2015.12.027","text":"Publisher Index Page"},{"id":351876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"534","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee916e4b0da30c1bfc51a","contributors":{"authors":[{"text":"Meixner, Thomas","contributorId":22653,"corporation":false,"usgs":false,"family":"Meixner","given":"Thomas","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":729282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":729283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":729284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Diana M.","contributorId":83010,"corporation":false,"usgs":true,"family":"Allen","given":"Diana","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":729285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ajami, Hoori","contributorId":74506,"corporation":false,"usgs":true,"family":"Ajami","given":"Hoori","affiliations":[],"preferred":false,"id":729286,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blasch, Kyle W. 0000-0002-0590-0724 kblasch@usgs.gov","orcid":"https://orcid.org/0000-0002-0590-0724","contributorId":1631,"corporation":false,"usgs":true,"family":"Blasch","given":"Kyle","email":"kblasch@usgs.gov","middleInitial":"W.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729287,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brookfield, Andrea E.","contributorId":202677,"corporation":false,"usgs":false,"family":"Brookfield","given":"Andrea","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":729288,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Castro, Christopher L.","contributorId":202676,"corporation":false,"usgs":false,"family":"Castro","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":729289,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Clark, Jordan F.","contributorId":106177,"corporation":false,"usgs":true,"family":"Clark","given":"Jordan F.","affiliations":[],"preferred":false,"id":729290,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gochis, David","contributorId":152455,"corporation":false,"usgs":false,"family":"Gochis","given":"David","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":729291,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729292,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Neff, Kirstin L.","contributorId":202678,"corporation":false,"usgs":false,"family":"Neff","given":"Kirstin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":729293,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Niraula, Rewati","contributorId":100714,"corporation":false,"usgs":false,"family":"Niraula","given":"Rewati","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":729294,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rodell, Matthew","contributorId":147282,"corporation":false,"usgs":false,"family":"Rodell","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":729295,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Scanlon, Bridget R.","contributorId":74093,"corporation":false,"usgs":true,"family":"Scanlon","given":"Bridget R.","affiliations":[],"preferred":false,"id":729296,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Singha, Kamini","contributorId":76733,"corporation":false,"usgs":true,"family":"Singha","given":"Kamini","affiliations":[],"preferred":false,"id":729297,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":729298,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70182755,"text":"70182755 - 2016 - Elevated bladder cancer in northern New England: The role of drinking water and arsenic","interactions":[],"lastModifiedDate":"2018-11-19T10:33:17","indexId":"70182755","displayToPublicDate":"2017-02-28T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5036,"text":"Journal of the National Cancer Institute","active":true,"publicationSubtype":{"id":10}},"title":"Elevated bladder cancer in northern New England: The role of drinking water and arsenic","docAbstract":"Background: Bladder cancer mortality rates have been elevated in northern New England for at least five decades. Incidence rates in Maine, New Hampshire, and Vermont are about 20% higher than the United States overall. We explored reasons for this excess, focusing on arsenic in drinking water from private wells, which are particularly prevalent in the region.
Methods: In a population-based case-control study in these three states, 1213 bladder cancer case patients and 1418 control subjects provided information on suspected risk factors. Log transformed arsenic concentrations were estimated by linear regression based on measurements in water samples from current and past homes. All statistical tests were two-sided.
Results: Bladder cancer risk increased with increasing water intake ( Ptrend = .003). This trend was statistically significant among participants with a history of private well use ( Ptrend = .01). Among private well users, this trend was apparent if well water was derived exclusively from shallow dug wells (which are vulnerable to contamination from manmade sources, Ptrend = .002) but not if well water was supplied only by deeper drilled wells ( Ptrend = .48). If dug wells were used pre-1960, when arsenical pesticides were widely used in the region, heavier water consumers (>2.2 L/day) had double the risk of light users (<1.1 L/day, Ptrend = .01). Among all participants, cumulative arsenic exposure from all water sources, lagged 40 years, yielded a positive risk gradient ( Ptrend = .004); among the highest-exposed participants (97.5th percentile), risk was twice that of the lowest-exposure quartile (odds ratio = 2.24, 95% confidence interval = 1.29 to 3.89).
Conclusions: Our findings support an association between low-to-moderate levels of arsenic in drinking water and bladder cancer risk in New England. In addition, historical consumption of water from private wells, particularly dug wells in an era when arsenical pesticides were widely used, was associated with increased bladder cancer risk and may have contributed to the New England excess.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jnci/djw099","usgsCitation":"Baris, D., Wadell, R., Freeman, L., Schwenn, M., Colt, J., Ayotte, J.D., Ward, M., Nuckols, J., Schned, A., Jackson, B., Clerkin, C., Rothman, N., Moore, L., Taylor, A., Robinson, G., Hosain, M.G., Armenti, C., McCoy, R., Samanic, C., Hoover, R., Fraumeni, J., Johnson, A., Karagas, M., and Silverman, D., 2016, Elevated bladder cancer in northern New England: The role of drinking water and arsenic: Journal of the National Cancer Institute, v. 108, no. 9, 9 p.; djw099, https://doi.org/10.1093/jnci/djw099.","productDescription":"9 p.; djw099","ipdsId":"IP-064069","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":470264,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jnci/djw099","text":"Publisher Index Page"},{"id":336309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"New England","volume":"108","issue":"9","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-02","publicationStatus":"PW","scienceBaseUri":"58b69a3fe4b01ccd54ff3f84","contributors":{"authors":[{"text":"Baris, Dalsu","contributorId":184111,"corporation":false,"usgs":false,"family":"Baris","given":"Dalsu","email":"","affiliations":[],"preferred":false,"id":673585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wadell, Richard","contributorId":184112,"corporation":false,"usgs":false,"family":"Wadell","given":"Richard","email":"","affiliations":[],"preferred":false,"id":673586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Laura","contributorId":184113,"corporation":false,"usgs":false,"family":"Freeman","given":"Laura","affiliations":[],"preferred":false,"id":673587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwenn, Molly","contributorId":184114,"corporation":false,"usgs":false,"family":"Schwenn","given":"Molly","email":"","affiliations":[],"preferred":false,"id":673588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colt, Joanne","contributorId":184115,"corporation":false,"usgs":false,"family":"Colt","given":"Joanne","email":"","affiliations":[],"preferred":false,"id":673589,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":466,"text":"New England Water Science 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Brian","contributorId":184119,"corporation":false,"usgs":false,"family":"Jackson","given":"Brian","affiliations":[],"preferred":false,"id":673593,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clerkin, Castine","contributorId":184120,"corporation":false,"usgs":false,"family":"Clerkin","given":"Castine","email":"","affiliations":[],"preferred":false,"id":673594,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rothman, Nathanial","contributorId":184121,"corporation":false,"usgs":false,"family":"Rothman","given":"Nathanial","email":"","affiliations":[],"preferred":false,"id":673595,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Moore, Lee","contributorId":184122,"corporation":false,"usgs":false,"family":"Moore","given":"Lee","email":"","affiliations":[],"preferred":false,"id":673596,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Taylor, Anne","contributorId":184123,"corporation":false,"usgs":false,"family":"Taylor","given":"Anne","email":"","affiliations":[],"preferred":false,"id":673597,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Robinson, Gilpin","contributorId":184124,"corporation":false,"usgs":false,"family":"Robinson","given":"Gilpin","affiliations":[],"preferred":false,"id":673598,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hosain, Monawar G.","contributorId":184125,"corporation":false,"usgs":false,"family":"Hosain","given":"Monawar","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":673599,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Armenti, Carla","contributorId":184126,"corporation":false,"usgs":false,"family":"Armenti","given":"Carla","email":"","affiliations":[],"preferred":false,"id":673600,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"McCoy, Richard","contributorId":184127,"corporation":false,"usgs":false,"family":"McCoy","given":"Richard","email":"","affiliations":[],"preferred":false,"id":673601,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Samanic, Claudine","contributorId":184128,"corporation":false,"usgs":false,"family":"Samanic","given":"Claudine","email":"","affiliations":[],"preferred":false,"id":673602,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hoover, Robert","contributorId":184129,"corporation":false,"usgs":false,"family":"Hoover","given":"Robert","email":"","affiliations":[],"preferred":false,"id":673603,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Fraumeni, Joseph","contributorId":184130,"corporation":false,"usgs":false,"family":"Fraumeni","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":673604,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Johnson, Alison","contributorId":184131,"corporation":false,"usgs":false,"family":"Johnson","given":"Alison","email":"","affiliations":[],"preferred":false,"id":673605,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Karagas, Margaret","contributorId":184132,"corporation":false,"usgs":false,"family":"Karagas","given":"Margaret","affiliations":[],"preferred":false,"id":673606,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Silverman, Debra","contributorId":184133,"corporation":false,"usgs":false,"family":"Silverman","given":"Debra","affiliations":[],"preferred":false,"id":673607,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}} ,{"id":70182746,"text":"70182746 - 2016 - Fluid-faulting evolution in high definition: Connecting fault structure and frequency-magnitude variations during the 2014 Long Valley Caldera, California earthquake swarm","interactions":[],"lastModifiedDate":"2017-02-28T09:40:12","indexId":"70182746","displayToPublicDate":"2017-02-28T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Fluid-faulting evolution in high definition: Connecting fault structure and frequency-magnitude variations during the 2014 Long Valley Caldera, California earthquake swarm","docAbstract":"An extended earthquake swarm occurred beneath southeastern Long Valley Caldera between May and November 2014, culminating in three magnitude 3.5 earthquakes and 1145 cataloged events on 26 September alone. The swarm produced the most prolific seismicity in the caldera since a major unrest episode in 1997-1998. To gain insight into the physics controlling swarm evolution, we used large-scale cross-correlation between waveforms of cataloged earthquakes and continuous data, producing precise locations for 8494 events, more than 2.5 times the routine catalog. We also estimated magnitudes for 18,634 events (~5.5 times the routine catalog), using a principal component fit to measure waveform amplitudes relative to cataloged events. This expanded and relocated catalog reveals multiple episodes of pronounced hypocenter expansion and migration on a collection of neighboring faults. Given the rapid migration and alignment of hypocenters on narrow faults, we infer that activity was initiated and sustained by an evolving fluid pressure transient with a low-viscosity fluid, likely composed primarily of water and CO2 exsolved from underlying magma. Although both updip and downdip migration were observed within the swarm, downdip activity ceased shortly after activation, while updip activity persisted for weeks at moderate levels. Strongly migrating, single-fault episodes within the larger swarm exhibited a higher proportion of larger earthquakes (lower Gutenberg-Richter b value), which may have been facilitated by fluid pressure confined in two dimensions within the fault zone. In contrast, the later swarm activity occurred on an increasingly diffuse collection of smaller faults, with a much higher b value.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2015JB012719","usgsCitation":"Shelly, D.R., Ellsworth, W.L., and Hill, D.P., 2016, Fluid-faulting evolution in high definition: Connecting fault structure and frequency-magnitude variations during the 2014 Long Valley Caldera, California earthquake swarm: Journal of Geophysical Research, v. 212, no. 3, p. 1776-1795, https://doi.org/10.1002/2015JB012719.","productDescription":"20 p.","startPage":"1776","endPage":"1795","ipdsId":"IP-070982","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470265,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jb012719","text":"Publisher Index Page"},{"id":336313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":" Long Valley Caldera","volume":"212","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-08","publicationStatus":"PW","scienceBaseUri":"58b69a3fe4b01ccd54ff3f88","contributors":{"authors":[{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":673557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":673558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, David P. hill@usgs.gov","contributorId":2600,"corporation":false,"usgs":true,"family":"Hill","given":"David","email":"hill@usgs.gov","middleInitial":"P.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":673559,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70182516,"text":"70182516 - 2016 - A manual to identify sources of fluvial sediment","interactions":[],"lastModifiedDate":"2017-07-25T09:52:55","indexId":"70182516","displayToPublicDate":"2017-02-27T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"EPA/600/R-16/210","title":"A manual to identify sources of fluvial sediment","docAbstract":"Sediment is an important pollutant of concern that can degrade and alter aquatic habitat. A sediment budget is an accounting of the sources, storage, and export of sediment over a defined spatial and temporal scale. This manual focuses on field approaches to estimate a sediment budget. We also highlight the sediment fingerprinting approach to attribute sediment to different watershed sources. Determining the sources and sinks of sediment is important in developing strategies to reduce sediment loads to water bodies impaired by sediment. Therefore, this manual can be used when developing a sediment TMDL requiring identification of sediment sources.
The manual takes the user through the seven necessary steps to construct a sediment budget:
Sediment budget construction begins with examining the question(s) being asked and whether a sediment budget is necessary to answer these question(s). If undertaking a sediment budget analysis is a viable option, the next step is to define the spatial scale of the watershed and the time scale needed to answer the question(s). Of course, we understand that monetary constraints play a big role in any decision.
Early in the sediment budget development process, we suggest getting to know your watershed by conducting a reconnaissance and meeting with local stakeholders. The reconnaissance aids in understanding the geomorphic setting of the watershed and potential sources of sediment. Identifying the potential sediment sources early in the design of the sediment budget will help later in deciding which tools are necessary to monitor erosion and/or deposition at these sources. Tools can range from rapid inventories to estimate the sediment budget or quantifying sediment erosion, deposition, and export through more rigorous field monitoring. In either approach, data are gathered and erosion and deposition calculations are determined and compared to the sediment export with a description of the error uncertainty. Findings are presented to local stakeholders and management officials.
Sediment fingerprinting is a technique that apportions the sources of fine-grained sediment in a watershed using tracers or fingerprints. Due to different geologic and anthropogenic histories, the chemical and physical properties of sediment in a watershed may vary and often represent a unique signature (or fingerprint) for each source within the watershed. Fluvial sediment samples (the target sediment) are also collected and exhibit a composite of the source properties that can be apportioned through various statistical techniques. Using an unmixing-model and error analysis, the final apportioned sediment is determined.
","language":"English","publisher":"U.S. Environmental Protection Agency","publisherLocation":"Washington, D.C.","usgsCitation":"Gellis, A.C., Fitzpatrick, F., and Schubauer-Berigan, J., 2016, A manual to identify sources of fluvial sediment, xi, 106 p.","productDescription":"xi, 106 p.","numberOfPages":"117","ipdsId":"IP-078964","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":336244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":336150,"type":{"id":15,"text":"Index Page"},"url":"https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=335394"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548bde4b01ccd54fddfa4","contributors":{"authors":[{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":172245,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":671371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":173463,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":671372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schubauer-Berigan, Joseph","contributorId":182408,"corporation":false,"usgs":false,"family":"Schubauer-Berigan","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":671373,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}