Most of the land-surface subsidence in the Houston-Galveston region, Texas, has occurred as a direct result of groundwater withdrawals for municipal supply, commercial and industrial use, and irrigation that depressured and dewatered the Chicot and Evangeline aquifers, thereby causing compaction of the aquifer sediments, mostly in the fine-grained silt and clay layers. This report, prepared by the U.S. Geological Survey in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District, is one in an annual series of reports depicting water-level altitudes and water-level changes in the Chicot, Evangeline, and Jasper aquifers and measured cumulative compaction of subsurface sediments in the Chicot and Evangeline aquifers in the Houston-Galveston region. The report contains regional-scale maps depicting approximate 2015 water-level altitudes (represented by measurements made during December 2014–March 2015) for the Chicot, Evangeline, and Jasper aquifers; maps depicting 1-year (2014–15) water-level changes for each aquifer; maps depicting approximate contoured 5-year (2010–15) water-level changes for each aquifer; maps depicting approximate contoured long-term (1990–2015 and 1977–2015) water-level changes for the Chicot and Evangeline aquifers; a map depicting approximate contoured long-term (2000–15) water-level changes for the Jasper aquifer; a map depicting locations of borehole-extensometer sites; and graphs depicting measured cumulative compaction of subsurface sediments at the borehole extensometers during 1973–2014. Three tables listing the water-level data used to construct each water-level map for each aquifer and a table listing the measured cumulative compaction data for each extensometer site and graphs are included.
\nIn 2015, water-level-altitude contours for the Chicot aquifer ranged from 175 feet (ft) below the vertical datum (the National Geodetic Vertical Datum of 1929 or the North American Vertical Datum of 1988; hereinafter, datum) in a localized area in northwestern Harris County to 200 ft above datum in northern and western Montgomery County. Water-level changes for 2014–15 in the Chicot aquifer ranged from a 24-ft decline to a 31-ft rise. Contoured 5-year and long-term water-level changes in the Chicot aquifer ranged from a 40-ft decline to a 40-ft rise (2010–15), from a 100-ft decline to a 100-ft rise (1990–2015), and from a 100-ft decline to a 200-ft rise (1977–2015). In 2015, water-level-altitude contours for the Evangeline aquifer ranged from 250 ft below datum in a localized area extending from south-central Montgomery County into north-central Harris County and in an additional area located in central Harris County to 200 ft above datum in southeastern Grimes and northwestern Montgomery Counties. Water-level changes for 2014–15 in the Evangeline aquifer ranged from a 66-ft decline to a 78-ft rise. Contoured 5-year and long-term water-level changes in the Evangeline aquifer ranged from a 60-ft decline to an 80-ft rise (2010–15), from a 200-ft decline to a 240-ft rise (1990–2015), and from a 320-ft decline to a 240-ft rise (1977–2015). In 2015, water-level-altitude contours for the Jasper aquifer ranged from 200 ft below datum in south-central Montgomery County that extends into north-central Harris County to 250 ft above datum in northwestern Montgomery County. Water-level changes for 2014–15 in the Jasper aquifer ranged from a 17-ft decline to a 35-ft rise. Contoured 5-year and long-term water-level changes in the Jasper aquifer ranged from a 60-ft decline to four small, localized areas of 10-ft rises (2010–15) and from a 220-ft decline to no change (2000–15).
\nCompaction of subsurface sediments (mostly in the fine-grained silt and clay layers) composing the Chicot and Evangeline aquifers was recorded continuously by using analog technology at the 13 borehole extensometers at 11 sites that were either activated or installed between 1973 and 1980. For the period of record beginning in 1973 (or later depending on activation or installation date) and ending in December 2014, measured cumulative compaction at the 13 extensometers ranged from 0.101 ft at the Texas City-Moses Lake extensometer to 3.668 ft at the Addicks extensometer. During 2014, a total of 10 of the 13 extensometers recorded a slight net decrease of land-surface elevation; the extensometers at the Lake Houston and Clear Lake (shallow) sites recorded slight net increases of land-surface elevation, and the extensometer at the Texas City-Moses Lake site recorded no change in elevation. The rate of compaction varies from site to site because of differences in rates of groundwater withdrawal in the areas adjacent to each extensometer site and differences among sites in the ratios of sand, silt, and clay and compressibilities of the subsurface sediments. It is not appropriate, therefore, to extrapolate or infer a rate of compaction for an adjacent area on the basis of the rate of compaction measured at nearby extensometers.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3337","collaboration":"Prepared in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District","usgsCitation":"Kasmarek, M.C., Ramage, J.K., Houston, N.A., Johnson, M., and Schmidt, T.S., 2015, Water-level altitudes 2015 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973-2014 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas (Version 1.0: Originally posted July 21, 2015; Version 1.1: October 16, 2015): U.S. Geological Survey Scientific Investigations Map 3337, Report: viii, 23 p.; 16 sheets; 17.0 x 21.99 in or smaller; 4 tables; 1 Appendix; Datasets; README file, https://doi.org/10.3133/sim3337.","productDescription":"Report: viii, 23 p.; 16 sheets; 17.0 x 21.99 in or smaller; 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The guide begins with a comprehensive overview of the geologic framework and the stratigraphic terminology of the Lassen region, based primarily on the “Geologic map of Lassen Volcanic National Park and vicinity” (Clynne and Muffler, 2010). The geologic overview is then followed by detailed road logs describing the volcanic features that can readily be seen in the park and its periphery. Twenty-one designated stops provide detailed explanations of important volcanic features. The guide also includes mileage logs along the highways leading into the park from the major nearby communities. The field-trip guide is intended to be a flexible document that can be adapted to the needs of a visitor approaching the park from any direction.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155067","usgsCitation":"Muffler, L.J.P., and Clynne, M.A., 2015, Geologic field-trip guide to Lassen Volcanic National Park and vicinity, California: U.S. Geological Survey Scientific Investigations Report 2015–5067, 67 p., https://dx.doi.org/10.3133/sir20155067.","productDescription":"vi, 67 p.","numberOfPages":"76","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054141","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":305821,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5067/pdf/sir20155067.pdf","text":"Report","size":"38.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5067"},{"id":305820,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5067/images/coverthb.gif"}],"country":"United States","state":"California","otherGeospatial":"Lassen Volcanic National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.4920654296875,\n 40.082274490356966\n ],\n [\n -122.4920654296875,\n 41.05864414643029\n ],\n [\n -120.11901855468751,\n 41.05864414643029\n ],\n [\n -120.11901855468751,\n 40.082274490356966\n ],\n [\n -122.4920654296875,\n 40.082274490356966\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Volcano Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 910
Menlo Park, CA 94025
http://volcanoes.usgs.gov/
The Cassini spacecraft’s Composite Infrared Spectrometer (CIRS) has observed at least 5 GW of thermal emission at Enceladus’ south pole. The vast majority of this emission is localized on the four long, parallel, evenly-spaced fractures dubbed tiger stripes. However, the thermal emission from regions between the tiger stripes has not been determined. These spatially localized regions have a unique morphology consisting of short-wavelength (∼1 km) ridges and troughs with topographic amplitudes of ∼100 m, and a generally ropy appearance that has led to them being referred to as “funiscular terrain.” Previous analysis pursued the hypothesis that the funiscular terrain formed via thin-skinned folding, analogous to that occurring on a pahoehoe flow top (Barr, A.C., Preuss, L.J. [2010]. Icarus 208, 499–503). Here we use finite element modeling of lithospheric shortening to further explore this hypothesis. Our best-case simulations reproduce funiscular-like morphologies, although our simulated fold wavelengths after 10% shortening are 30% longer than those observed. Reproducing short-wavelength folds requires high effective surface temperatures (∼185 K), an ice lithosphere (or high-viscosity layer) with a low thermal conductivity (one-half to one-third that of intact ice or lower), and very high heat fluxes (perhaps as great as 400 mW m−2). These conditions are driven by the requirement that the high-viscosity layer remain extremely thin (≲200 m). Whereas the required conditions are extreme, they can be met if a layer of fine grained plume material 1–10 m thick, or a highly fractured ice layer >50 m thick insulates the surface, and the lithosphere is fractured throughout as well. The source of the necessary heat flux (a factor of two greater than previous estimates) is less obvious. We also present evidence for an unusual color/spectral character of the ropy terrain, possibly related to its unique surface texture. Our simulations demonstrate that producing the funiscular ridges via folding remains plausible, but the relatively extreme conditions required to do so leaves their origin open to further investigation. The high heat fluxes required to produce the terrain by folding, which equate to an endogenic blackbody temperature near 50 K, should be observable by future nighttime CIRS observations, if funiscular deformation is occurring today.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2015.07.016","usgsCitation":"Bland, M.T., McKinnon, W., and Schenk, P., 2015, Constraining the heat flux between Enceladus’ tiger stripes: numerical modeling of funiscular plains formation: Icarus, v. 260, p. 232-245, https://doi.org/10.1016/j.icarus.2015.07.016.","productDescription":"14 p.","startPage":"232","endPage":"245","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064330","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":306655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Enceladus","volume":"260","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55cdbfaee4b08400b1fe13e0","contributors":{"authors":[{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":567309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinnon, William B.","contributorId":146288,"corporation":false,"usgs":false,"family":"McKinnon","given":"William B.","affiliations":[{"id":16661,"text":"Washington University in Saint Louis","active":true,"usgs":false}],"preferred":false,"id":567310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schenk, Paul M.","contributorId":66946,"corporation":false,"usgs":false,"family":"Schenk","given":"Paul M.","affiliations":[{"id":12445,"text":"Lunar and Planetary Institute","active":true,"usgs":false}],"preferred":false,"id":567311,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159197,"text":"70159197 - 2015 - An assessment of the impact of the pet trade on five CITES-Appendix II case studies - Boa constrictor imperator","interactions":[],"lastModifiedDate":"2015-12-07T10:24:30","indexId":"70159197","displayToPublicDate":"2015-07-22T01:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"An assessment of the impact of the pet trade on five CITES-Appendix II case studies - Boa constrictor imperator","docAbstract":"Boa constrictor is a wide ranging snake species that is common in the pet trade and is currently listed in CITES Appendix II. Hog Island boas, or Cayos Cochinos boas, are a dwarf, insular race of Boa constrictor imperator endemic to the Cayos Cochinos Archipelago, Honduras. Cayos Cochinos boas are prized in the international pet trade for their light pink dorsal coloration, as well as for being much smaller and more docile than mainland boas (Porras, 1999; Russo, 2007). The boa population in the Cayos Cochinos was heavily exploited for the pet trade from 1979 to 1993, and researchers reported finding no boas on the islands during a five day herpetological survey trip in the early 1990s (Wilson and CruzDiaz, 1993), leading to the speculation that the population had been extirpated (e.g., Russo, 2007). The Cayos Cochinos Archipelago Natural Marine Monument has been managed by the Honduran Coral Reef Foundation since 1994 and prohibits removal of boas from the area. Poaching for the pet trade continues today, although at a lower level. Due to the endemic nature of this island morph of B. c. imperator it is imperative that we understand the dynamics of the populations and the ongoing threats that could negatively impact their long-term survival.
","conferenceTitle":"Convention on International Trade in Endangered Species of Wild Fauna and Flora: Twenty-eighth meeting of the Animals Committee","conferenceDate":"30 August-3 September 2015","conferenceLocation":"Tel Aviv, Israel","language":"English","publisher":"International Union for the Conservation of Nature","usgsCitation":"Montgomery, C.E., Boback, S.M., Reed, R., and Frazier, J.A., 2015, An assessment of the impact of the pet trade on five CITES-Appendix II case studies - Boa constrictor imperator, Convention on International Trade in Endangered Species of Wild Fauna and Flora: Twenty-eighth meeting of the Animals Committee, Tel Aviv, Israel, 30 August-3 September 2015, 6 p.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060566","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":311982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311991,"type":{"id":15,"text":"Index Page"},"url":"https://cites.org/eng/com/ac/28/inf/index.php"}],"country":"Honduras","otherGeospatial":"Cayos Cochinos Archipelago (Hog Islands), Islas de la Bahia (Bay Islands)","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.50840759277344,\n 15.950931077342227\n ],\n [\n -86.50840759277344,\n 15.982948600327637\n ],\n [\n -86.46660804748535,\n 15.982948600327637\n ],\n [\n -86.46660804748535,\n 15.950931077342227\n ],\n [\n -86.50840759277344,\n 15.950931077342227\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"Document AC28 Inf. 7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5666bbc6e4b06a3ea36c8afb","contributors":{"authors":[{"text":"Montgomery, Chad E.","contributorId":95699,"corporation":false,"usgs":false,"family":"Montgomery","given":"Chad","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":577827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boback, Scott M.","contributorId":69370,"corporation":false,"usgs":false,"family":"Boback","given":"Scott","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":577828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Robert N. reedr@usgs.gov","contributorId":149307,"corporation":false,"usgs":true,"family":"Reed","given":"Robert N.","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":577826,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frazier, Julius A.","contributorId":149309,"corporation":false,"usgs":false,"family":"Frazier","given":"Julius","email":"","middleInitial":"A.","affiliations":[{"id":12635,"text":"California Polytechnic State University, College of Science, Pomona, CA","active":true,"usgs":false}],"preferred":false,"id":577829,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188611,"text":"70188611 - 2015 - Hundreds of earthquakes per day: The 2014 Guthrie, Oklahoma, Earthquake Sequence","interactions":[],"lastModifiedDate":"2017-06-29T12:09:20","indexId":"70188611","displayToPublicDate":"2015-07-22T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Hundreds of earthquakes per day: The 2014 Guthrie, Oklahoma, Earthquake Sequence","docAbstract":"A remarkable increase in seismic activity in Oklahoma since 2009 has been shown\nto correlate closely with enhanced hydrocarbon extraction and associated\nwastewater disposal; 99% of this recent Oklahoma earthquake activity has \noccurred within 15 km of a call II injection well (Ellsworth, 2013). In response\nto this increase in seismic activity, the U.S. Geological Survey (USGS) partnered\nwith the Oklahoma Geological Survey (OGS) to exchange waveform data from\npermanent and temporary seismic stations to improve the cataloging of\nearthquake source parameters for a broad region of north-central Oklahoma. For\na particularly persistent earthquake sequence near Guthrie, Oklahoma, a \nsubspace detection method is applied to data from nearby seismic stations. This\napproach documents the occurrence of hundreds of readily detectable, highly\nsimilar, earthquakes per day, with rates occasionally exceeding 1000 \nearthquakes per day. Time-varying changes in b-value appear episodic,\nsuggesting a correlation with periods of reversible fault weakening and\nassociated failure.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220150019","usgsCitation":"Benz, H.M., McMahon, N.D., Aster, R., McNamara, D.E., and Harris, D.J., 2015, Hundreds of earthquakes per day: The 2014 Guthrie, Oklahoma, Earthquake Sequence: Seismological Research Letters, v. 86, no. 5, p. 1318-1325, https://doi.org/10.1785/0220150019.","productDescription":"8 p. ","startPage":"1318","endPage":"1325","ipdsId":"IP-064752","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":342618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoman","city":"Guthrie ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.58537292480469,\n 35.776043045943254\n ],\n [\n -97.27020263671875,\n 35.776043045943254\n ],\n [\n -97.27020263671875,\n 35.94465937365276\n ],\n [\n -97.58537292480469,\n 35.94465937365276\n ],\n [\n -97.58537292480469,\n 35.776043045943254\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"86","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-22","publicationStatus":"PW","scienceBaseUri":"59463fa7e4b062508e344091","contributors":{"authors":[{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Nicole D 0000-0003-0308-3705 nmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0003-0308-3705","contributorId":5811,"corporation":false,"usgs":true,"family":"McMahon","given":"Nicole","email":"nmcmahon@usgs.gov","middleInitial":"D","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aster, R","contributorId":193059,"corporation":false,"usgs":false,"family":"Aster","given":"R","affiliations":[],"preferred":false,"id":698600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harris, David J.","contributorId":139108,"corporation":false,"usgs":false,"family":"Harris","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":698602,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70144993,"text":"sir20155036 - 2015 - Analysis of storm-tide impacts from Hurricane Sandy in New York","interactions":[],"lastModifiedDate":"2015-08-11T15:41:36","indexId":"sir20155036","displayToPublicDate":"2015-07-21T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5036","title":"Analysis of storm-tide impacts from Hurricane Sandy in New York","docAbstract":"The hybrid cyclone-nor’easter known as Hurricane Sandy affected the mid-Atlantic and northeastern United States during October 28-30, 2012, causing extensive coastal flooding. Prior to storm landfall, the U.S. Geological Survey (USGS) deployed a temporary monitoring network from Virginia to Maine to record the storm tide and coastal flooding generated by Hurricane Sandy. This sensor network augmented USGS and National Oceanic and Atmospheric Administration (NOAA) networks of permanent monitoring sites that also documented storm surge. Continuous data from these networks were supplemented by an extensive post-storm high-water-mark (HWM) flagging and surveying campaign. The sensor deployment and HWM campaign were conducted under a directed mission assignment by the Federal Emergency Management Agency (FEMA). The need for hydrologic interpretation of monitoring data to assist in flood-damage analysis and future flood mitigation prompted the current analysis of Hurricane Sandy by the USGS under this FEMA mission assignment.
\nThe analysis of storm-tide impacts focused on three distinct but related aspects of coastal flooding from Hurricane Sandy, including flooding inland along the tidal reach of the Hudson River. These aspects are (1) comparisons of peak storm-tide elevations to those of historical storms and to annual exceedance probabilities, (2) assessments of storm-surge characteristics, and (3) comparisons of maps of inundation extent that were derived from differing amounts of available storm-tide data. Most peak storm-tide elevations from Hurricane Sandy were greater than about 9.5 feet (ft) above North American Vertical Datum of 1988.
\nPeak storm-tide elevations from Hurricane Sandy were compared with data for the intense nor’easter of December 11–13, 1992, and Hurricane Irene (August 27–28, 2011), which weakened to a tropical storm before arriving in New York. Peak storm-tide elevations from Hurricane Sandy were higher than those from the December 1992 nor’easter at 24 of 27 sites; most differences were greater than about 0.7 ft or 9 percent (above the historical storm tide). Peak storm-tide elevations from Hurricane Sandy were higher than those from Tropical Storm Irene at all sites; most differences were greater than about 2.5 ft or 48 percent. Data from permanent and temporary monitoring sites and HWM sites were compared with corresponding FEMA flood elevations for the 10-, 2-, 1-, and 0.2-percent annual exceedance probabilities in New York. Peak storm-tide elevations from Hurricane Sandy had annual exceedance probabilities less than or equal to 1 percent and (or) greater than 0.2 percent at a plurality of sites—184 of 413. Peak storm-tide elevations greater than or equal to the 0.2-percent flood elevation accounted for 81 of 413 sites. Peak storm-tide elevations less than the 10-percent flood elevation accounted for only 10 of 413 sites.
\nData from selected permanent monitoring sites in the USGS and NOAA networks were used to assess storm-surge magnitude associated with the peak storm tide, and magnitude and timing of the peak storm surge. Most magnitudes of the peak storm surge were greater than about 8.3 ft, and most magnitudes of the storm surge component of the peak storm tide were greater than about 7.8 ft. Timing of peak storm surge arrival with respect to local phase of tide controlled where the most extreme peak storm-tide levels and coastal flooding occurred. This finding has bearing not only for locations impacted by the highest storm tides from Hurricane Sandy, but also for those that had the greatest storm surges yet were spared the worst flooding because of fortuitous timing during this storm.
\nResults of FEMA Hazus Program (HAZUS) flood loss analyses performed for New York counties were compared for extents of storm-tide inundation from Hurricane Sandy mapped (1) pre-storm, (2) on November 11, 2012, and (3) on February 14, 2013. The resulting depictions of estimated total building stock losses document how differing amounts of available USGS data affect the resolution and accuracy of storm-tide inundation extents. Using the most accurate results from the final (February 14, 2013) inundation extent, estimated losses range from $380 million to $5.9 billion for individual New York counties; total estimated aggregate losses are about $23 billion for all New York counties. Quality of the inundation extents used in HAZUS analyses has a substantial effect on final results. These findings can be used to inform future post-storm reconstruction planning and estimation of insurance claims.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155036","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Schubert, C.E., Busciolano, Ronald, Hearn, P.P., Jr., Rahav, A.N., Behrens, Riley, Finkelstein, Jason, Monti, Jack, Jr., and Simonson, A.E., 2015, Analysis of storm-tide impacts from Hurricane Sandy in New York: U.S. Geological Survey Scientific Investigations Report 2015–5036, 75 p., https://dx.doi.org/10.3133/sir20155036.","productDescription":"iv, 75 p.","startPage":"1","endPage":"75","numberOfPages":"79","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052333","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":305838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5036/coverthb.jpg"},{"id":305840,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5036/sir20155036.pdf","text":"Report","size":"13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5036"},{"id":306207,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5036/sir20155036_printversion.pdf","text":"Report - Print Version","size":"19,468 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5036"}],"country":"United States","state":"New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.805908203125,\n 40.371658891506094\n ],\n [\n -74.805908203125,\n 42.827638636242284\n ],\n [\n -71.5869140625,\n 42.827638636242284\n ],\n [\n -71.5869140625,\n 40.371658891506094\n ],\n [\n -74.805908203125,\n 40.371658891506094\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
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2045 Route 112, Building 4
Coram, NY 11727
http://ny.water.usgs.gov
A number of researchers have attempted to estimate salmonid smolt survival during outmigration through an estuary. However, it is currently unclear how the design of such studies influences the accuracy and precision of survival estimates. In this simulation study we consider four patterns of smolt survival probability in the estuary, and test the performance of several different sampling strategies for estimating estuarine survival assuming perfect detection. The four survival probability patterns each incorporate a systematic component (constant, linearly increasing, increasing and then decreasing, and two pulses) and a random component to reflect daily fluctuations in survival probability. Generally, spreading sampling effort (tagging) across the season resulted in more accurate estimates of survival. All sampling designs in this simulation tended to under-estimate the variation in the survival estimates because seasonal and daily variation in survival probability are not incorporated in the estimation procedure. This under-estimation results in poorer performance of estimates from larger samples. Thus, tagging more fish may not result in better estimates of survival if important components of variation are not accounted for. The results of our simulation incorporate survival probabilities and run distribution data from previous studies to help illustrate the tradeoffs among sampling strategies in terms of the number of tags needed and distribution of tagging effort. This information will assist researchers in developing improved monitoring programs and encourage discussion regarding issues that should be addressed prior to implementation of any telemetry-based monitoring plan. We believe implementation of an effective estuary survival monitoring program will strengthen the robustness of life cycle models used in recovery plans by providing missing data on where and how much mortality occurs in the riverine and estuarine portions of smolt migration. These data could result in better informed management decisions and assist in guidance for more effective estuarine restoration projects.
","language":"English","publisher":"PLOS one","doi":"10.1371/journal.pone.0132912","usgsCitation":"Romer, J.D., Gitelman, A.I., Clements, S., and Schreck, C.B., 2015, Designing a monitoring program to estimate estuarine survival of anadromous salmon smolts: simulating the effect of sample design on inference: PLoS ONE, 11 p., https://doi.org/10.1371/journal.pone.0132912.","productDescription":"11 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066437","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471935,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0132912","text":"Publisher Index Page"},{"id":323413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-21","publicationStatus":"PW","scienceBaseUri":"575a9330e4b04f417c275131","contributors":{"authors":[{"text":"Romer, Jeremy D.","contributorId":171684,"corporation":false,"usgs":false,"family":"Romer","given":"Jeremy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gitelman, Alix I.","contributorId":168402,"corporation":false,"usgs":false,"family":"Gitelman","given":"Alix","email":"","middleInitial":"I.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":638300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clements, Shaun","contributorId":171685,"corporation":false,"usgs":false,"family":"Clements","given":"Shaun","email":"","affiliations":[],"preferred":false,"id":638301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":637222,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70154766,"text":"ds945 - 2015 - Post-Hurricane Ivan coastal oblique aerial photographs collected from Crawfordville, Florida, to Petit Bois Island, Mississippi, September 17, 2004","interactions":[],"lastModifiedDate":"2015-07-20T11:51:18","indexId":"ds945","displayToPublicDate":"2015-07-20T13:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"945","title":"Post-Hurricane Ivan coastal oblique aerial photographs collected from Crawfordville, Florida, to Petit Bois Island, Mississippi, September 17, 2004","docAbstract":"The U.S. Geological Survey (USGS) conducts baseline and storm response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms. On September 17, 2004, the USGS conducted an oblique aerial photographic survey from Crawfordville, Florida, to Petit Bois Island, Mississippi aboard a Piper Navajo Chieftain (aircraft) at an altitude of 500 feet (ft) and approximately 1,000 ft offshore. This mission was flown to collect post-Hurricane Ivan data for assessing incremental changes in the beach and nearshore area since the last survey in 2001, and the data can be used in the assessment of future coastal change.
\nThe images provided in this report are Joint Photographic Experts Group (JPEG) images. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft and do not indicate the location of any feature in the images. These photographs document the state of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segments can be found on the Photos and Maps page. The photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.
\nTable 1 provides detailed information about the GPS location, image name, date, and time for each of the 3,381 photographs taken, along with links to each photograph. The photographs are organized into segments, also referred to as contact sheets, and represent approximately 5 minutes of flight time. In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided, which can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds945","usgsCitation":"Morgan, K., Krohn, M.D., Peterson, R., Thompson, P.R., and Subino, J.A., 2015, Post-Hurricane Ivan coastal oblique aerial photographs collected from Crawfordville, Florida, to Petit Bois Island, Mississippi, September 17, 2004: U.S. Geological Survey Data Series 945, HTML Document, https://doi.org/10.3133/ds945.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2004-09-17","temporalEnd":"2004-09-17","ipdsId":"IP-039096","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":305835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds945.jpg"},{"id":305833,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0945/"},{"id":305834,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0945/ds945_title.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DS 945"}],"country":"United States","state":"Alabama, Florida, Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.219970703125,\n 30.5717205651999\n ],\n [\n -88.70361328125,\n 30.64736425824319\n ],\n [\n -88.24218749999999,\n 30.600093873550072\n ],\n [\n -88.13232421875,\n 31.005862904624205\n ],\n [\n -87.78076171875,\n 30.892797477508154\n ],\n [\n -87.51708984375,\n 30.56226095049944\n ],\n [\n -87.08862304687499,\n 30.798474179567823\n ],\n [\n -86.583251953125,\n 30.6662659463233\n ],\n [\n -86.0009765625,\n 30.704058230919504\n ],\n [\n -85.682373046875,\n 30.496017831341284\n ],\n [\n -85.045166015625,\n 30.35391637229704\n ],\n [\n -84.30908203125,\n 30.4297295750316\n ],\n [\n -83.9794921875,\n 30.20211367909724\n ],\n [\n -83.935546875,\n 29.92637417863576\n ],\n [\n -83.9794921875,\n 29.142566155107065\n ],\n [\n -85.968017578125,\n 29.1233732108192\n ],\n [\n -86.033935546875,\n 29.888280933159265\n ],\n [\n -88.670654296875,\n 29.869228848968312\n ],\n [\n -88.70361328125,\n 30.116621582819377\n ],\n [\n -89.219970703125,\n 30.15462722077597\n ],\n [\n -89.219970703125,\n 30.5717205651999\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7eee2e4b0bc0bec09ed86","contributors":{"authors":[{"text":"Morgan, Karen L.M. 0000-0002-2994-5572 kmorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-2994-5572","contributorId":140446,"corporation":false,"usgs":true,"family":"Morgan","given":"Karen L.M.","email":"kmorgan@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":564027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krohn, M. Dennis dkrohn@usgs.gov","contributorId":3378,"corporation":false,"usgs":true,"family":"Krohn","given":"M.","email":"dkrohn@usgs.gov","middleInitial":"Dennis","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":564025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Russell D.","contributorId":107344,"corporation":false,"usgs":true,"family":"Peterson","given":"Russell D.","affiliations":[],"preferred":false,"id":564028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Philip R. prthompson@usgs.gov","contributorId":4483,"corporation":false,"usgs":true,"family":"Thompson","given":"Philip","email":"prthompson@usgs.gov","middleInitial":"R.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":564029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Subino, Janice A.","contributorId":50386,"corporation":false,"usgs":true,"family":"Subino","given":"Janice","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":564030,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70147240,"text":"sir20155064 - 2015 - Flood-Inundation maps for the Hohokus Brook in Waldwick Borough, Ho-Ho-Kus Borough, and the Village of Ridgewood, New Jersey, 2014","interactions":[],"lastModifiedDate":"2015-07-20T10:37:04","indexId":"sir20155064","displayToPublicDate":"2015-07-20T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5064","title":"Flood-Inundation maps for the Hohokus Brook in Waldwick Borough, Ho-Ho-Kus Borough, and the Village of Ridgewood, New Jersey, 2014","docAbstract":"Digital flood-inundation maps for a 6-mile reach of the Hohokus Brook in New Jersey from White's Lake Dam in Waldwick Borough, through Ho-Ho-Kus Borough to Grove Street in the Village of Ridgewood were created by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection. The flood inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Hohokus Brook at Ho-Ho-Kus, New Jersey (station number 01391000). Stage data at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/nwis/uv?site_no=01391000 or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http://water.weather.gov/ahps2/hydrograph.php?gage=hohn4&wfo=okx.
\nFlood profiles were simulated for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relation at the Hohokus Brook at Ho-Ho-Kus, New Jersey, streamgage (station number 01391000). The hydraulic model was then used to compute 12 water-surface profiles for flood stages at 0.5-foot (ft) intervals referenced to the streamgage datum and ranging from 2.5 ft, the NWS “action stage” or near bankfull, to 8.0 ft, which exceeds the stage that corresponds to the maximum recorded peak flow (7.32 ft) and is the extent of the current stage-discharge relation for the streamgage. The simulated water-surface profiles were then combined with a geographic information system 3-meter (9.84 ft) digital elevation model [derived from light detection and ranging (lidar) data] to delineate the area flooded at each water level.
\nThe availability of these maps along with information on the Internet regarding current stage from the USGS streamgage will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155064","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Watson, K.M., and Niemoczynski, M.J., 2015, Flood-Inundation maps for the Hohokus Brook in Waldwick Borough, Ho-Ho-Kus Borough, and the Village of Ridgewood, New Jersey, 2014: U.S. Geological Survey Scientific Investigations Report 2015–5064, 12 p., https://dx.doi.org/10.3133/sir20155064.","productDescription":"v, 12 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-053102","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":305705,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5064/coverthb.jpg"},{"id":305706,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5064/sir20155064.pdf","text":"Report","size":"6.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5064"},{"id":305707,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2015/5064/downloads/depth_raster/","text":"Depth_Raster","size":"112 MB","description":"XML, ovr, adf, and Other Files"},{"id":305708,"rank":4,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2015/5064/downloads/KML/","text":"KML","size":"116 KB","description":"KMZ"},{"id":305709,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sir/2015/5064/downloads/readme.txt","text":"Readme","size":"9.72 KB","linkFileType":{"id":2,"text":"txt"},"description":"Readme"},{"id":305710,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2015/5064/downloads/water_surface_final/","text":"Water Data","size":"1.43 MB","linkFileType":{"id":4,"text":"shapefile"},"description":"Water Surface"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.09042358398438,\n 40.86627605595889\n ],\n [\n -74.09042358398438,\n 40.914550362677204\n ],\n [\n -74.01592254638672,\n 40.914550362677204\n ],\n [\n -74.01592254638672,\n 40.86627605595889\n ],\n [\n -74.09042358398438,\n 40.86627605595889\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
http://nj.usgs.gov/
","tableOfContents":"
In August of 2013, the U.S. Geological Survey conducted a geophysical survey offshore of Petit Bois Island, Mississippi. This effort was part of the U.S. Geological Survey Gulf of Mexico Science Coordination partnership with the U.S. Army Corps of Engineers to assist the Mississippi Coastal Improvements Program and the Northern Gulf of Mexico Ecosystem Change and Hazards Susceptibility Project, by mapping the shallow geologic stratigraphic framework of the Mississippi Barrier Island Complex.
\nThis geophysical survey will provide additional data necessary for scientists to define, interpret, and provide baseline bathymetry and seafloor habitat for this area, and to aid scientists in predicting future geomorphological changes of the islands with respect to climate change, storm impact, and sea-level rise. Furthermore, these data will provide information for barrier island restoration, particularly in Camille Cut, and protection for the historical Fort Massachusetts on Ship Island, Mississippi.
\nThe geophysical data were collected during one cruise (USGS Field Activity Numbers 13CCT04) aboard the Research Vessel Tommy Munro offshore along the gulf side of Petit Bois Island, Gulf Islands National Seashore, Mississippi. Data were acquired with the following equipment: a Systems Engineering and Assessment, Ltd., SWATHplus interferometric sonar (468 kilohertz (kHz)), an EdgeTech 424 (4-24 kHz), an EdgeTech 525i chirp subbottom profiling system, and a Klein 3900 sidescan sonar system.
\nThis report serves as an archive of the processed interferometric swath bathymetry and sidescan sonar data. Geographic information system data products include an interpolated digital elevation model, an acoustic backscatter mosaic, trackline maps, and point data files. Additional files include error analysis maps, Field Activity Collection System logs, and formal Federal Geographic Data Committee metadata.
\nNOTE: These data are scientific in nature and are not to be used for navigation. Any use of trade names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds917","usgsCitation":"DeWitt, N.T., Flocks, J.G., Kindinger, J.L., Bernier, J., Kelso, K.W., Wiese, D.S., Finlayson, D.P., and Pfeiffer, W.R., 2015, Archive of Sidescan Sonar and Swath Bathymetry Data Collected During USGS Cruise 13CCT04 Offshore of Petit Bois Island, Gulf Islands National Seashore, Mississippi, August 2013: U.S. Geological Survey Data Series 917, HTML Document, https://doi.org/10.3133/ds917.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-058072","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science 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-88.50517272949219,\n 30.217690185142587\n ],\n [\n -88.51066589355469,\n 30.217393512825158\n ],\n [\n -88.50980758666992,\n 30.21353669128429\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7eee2e4b0bc0bec09ed8a","contributors":{"authors":[{"text":"DeWitt, Nancy T. 0000-0002-2419-4087 ndewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2419-4087","contributorId":4095,"corporation":false,"usgs":true,"family":"DeWitt","given":"Nancy","email":"ndewitt@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":539459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":539460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kindinger, Jack L. jkindinger@usgs.gov","contributorId":815,"corporation":false,"usgs":true,"family":"Kindinger","given":"Jack","email":"jkindinger@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":539461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":539462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelso, Kyle W. 0000-0003-0615-242X kkelso@usgs.gov","orcid":"https://orcid.org/0000-0003-0615-242X","contributorId":4307,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","email":"kkelso@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":539463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":539464,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Finlayson, David P. dfinlayson@usgs.gov","contributorId":1381,"corporation":false,"usgs":true,"family":"Finlayson","given":"David","email":"dfinlayson@usgs.gov","middleInitial":"P.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":539465,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pfeiffer, William R. wpfeiffer@usgs.gov","contributorId":3725,"corporation":false,"usgs":true,"family":"Pfeiffer","given":"William","email":"wpfeiffer@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":539466,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70156716,"text":"70156716 - 2015 - Topography and climate are more important drivers of long-term, post-fire vegetation assembly than time-since-fire in the Sonoran Desert, US","interactions":[],"lastModifiedDate":"2015-10-19T12:30:29","indexId":"70156716","displayToPublicDate":"2015-07-18T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Topography and climate are more important drivers of long-term, post-fire vegetation assembly than time-since-fire in the Sonoran Desert, US","docAbstract":"Questions
\nDo abiotic environmental filters or time-since-fire (TSF) explain more variability in post-fire vegetation assembly? Do these influences vary between vegetation structure and composition, and across spatial scales?
\nLocation
\nSonoran Desert of southwestern Arizona, US.
\nMethods
\nWe measured perennial vegetation in a chronosequence of 13 fires (8-33 yr TSF) spanning a broad regional gradient. The relative influence of environmental filters (topography and climate) and TSF were compared as predictors of long-term, post-fire vegetation assembly. Analyses considered different measures of vegetation structure (cover, height and density) and scales of community organization (species composition, structure and landscape).
\nResults
\nSpecies and growth form composition did not exhibit directional responses with increasing TSF, but sorted along abiotic gradients. Differences in vegetation cover and height between burned and unburned control areas were attributed primarily to gradients of topography and climate. In contrast, vegetation density initially increased in burned areas but declined to pre-burn levels with increasing TSF. The strongest predictors of landscape-scale recovery of vegetation cover, height and density were elevation, post-fire precipitation and average annual precipitation, respectively. Recovery of vegetation height was positively correlated with precipitation in the first year following fire, suggesting that abiotic conditions of the immediate post-fire environment may drive long-term variability in vegetation structure.
\nConclusions
\nWe find substantial evidence that environmental filters, rather than TSF, drive the majority of variability in long-term, post-fire vegetation assembly within the Sonoran Desert. Careful consideration of spatial variability in abiotic conditions may benefit post-fire vegetation modelling, as well as fire management and restoration strategies.
","language":"English","publisher":"International Association for Vegetation Science","publisherLocation":"Uppsala, Sweden","doi":"10.1111/jvs.12324","usgsCitation":"Shryock, D.F., Esque, T., and Chen, F.C., 2015, Topography and climate are more important drivers of long-term, post-fire vegetation assembly than time-since-fire in the Sonoran Desert, US: Journal of Vegetation Science, v. 26, no. 6, p. 1134-1147, https://doi.org/10.1111/jvs.12324.","productDescription":"14 p.","startPage":"1134","endPage":"1147","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062961","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":307830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-18","publicationStatus":"PW","scienceBaseUri":"560bb70ee4b058f706e53f40","chorus":{"doi":"10.1111/jvs.12324","url":"http://dx.doi.org/10.1111/jvs.12324","publisher":"Wiley-Blackwell","authors":"Shryock Daniel F., Esque Todd C., Chen Felicia C.","journalName":"Journal of Vegetation Science","publicationDate":"7/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Shryock, Daniel F. dshryock@usgs.gov","contributorId":5139,"corporation":false,"usgs":true,"family":"Shryock","given":"Daniel","email":"dshryock@usgs.gov","middleInitial":"F.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":570229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":145679,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":570228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Felicia C. 0000-0002-7408-5946 fchen@usgs.gov","orcid":"https://orcid.org/0000-0002-7408-5946","contributorId":140025,"corporation":false,"usgs":true,"family":"Chen","given":"Felicia","email":"fchen@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":570230,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148426,"text":"sir20155079 - 2015 - Evaluation of mercury in rainbow trout collected from Duck Valley Indian Reservation reservoirs, southwestern Idaho and northern Nevada, 2007, 2009, and 2013","interactions":[],"lastModifiedDate":"2026-01-27T21:16:58.790315","indexId":"sir20155079","displayToPublicDate":"2015-07-17T17:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5079","title":"Evaluation of mercury in rainbow trout collected from Duck Valley Indian Reservation reservoirs, southwestern Idaho and northern Nevada, 2007, 2009, and 2013","docAbstract":"The U.S. Geological Survey, in cooperation with the Shoshone-Paiute Tribes of the Duck Valley Indian Reservation, analyzed mercury (Hg) concentration in rainbow trout (Oncorhynchus mykiss) collected from three reservoirs on the reservation (Mountain View, Lake Billy Shaw, and Sheep Creek) during sampling events in 2007, 2009, and 2013, to determine the risk of Hg exposure to Tribal members and the general public.
\nMercury concentration in predatory fish tends to increase with fish length, and this tendency was true for rainbow trout in the reservoirs on the reservation (r2 = 0.44–0.70). Mean (average) and median Hg concentrations in fish tissue were determined for each reservoir for each sample year. All Hg concentrations were less than the U.S. Environmental Protection Agency’s water-quality criterion of 0.30 milligram per kilogram (mg/kg wet weight [ww]) and the Idaho Department of Environmental Quality’s reasonable potential to exceed threshold of 0.24 mg/kg. Idaho Department of Health and Welfare toxicologists determined that the Hg concentrations in rainbow trout in this study would not warrant a fish-consumption advisory for this species.
\nThroughout this report, statistical findings with a p-value of less than 0.05 are referred to as “significant.” Mean Hg concentrations in fish-tissue samples collected from Mountain View Reservoir were higher in 2007 (0.12 mg/kg ww) than in 2009 and 2013 (0.07 and 0.06 mg/kg ww, respectively), indicating a significant mean decrease. Mean Hg concentrations in fish-tissue samples collected from Lake Billy Shaw showed no significant differences among sample years (2007, 0.12 mg/kg ww; 2009, 0.07 mg/kg ww; 2013, 0.09 mg/kg ww). Mean Hg concentrations in fish-tissue samples collected from Sheep Creek Reservoir significantly increased in 2013 (0.10 mg/kg ww) from concentrations in 2007 and 2009 (0.06 and 0.05 mg/kg ww, respectively). These temporal and spatial variations are not unexpected, as each body of water may differ in the factors and conditions affecting the rate of methylation and demethylation.
\nCoupled with the dynamic put-and-take fishery, the outcomes reflect the system complexities among reservoirs despite their fairly close proximity to one another. The influence of these other factors is evident when the analysis of atmospheric Hg deposition at Mercury Deposition Network site NV02 in northern Nevada showed no significant linear trend in wet Hg deposition rates for 2003–2013 (average 3.02 micrograms per square meter).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155079","collaboration":"Prepared in cooperation with the Shoshone-Paiute Tribes of the Duck Valley Indian Reservation","usgsCitation":"Williams, M.L., MacCoy, D.E., and Maret, T.R., 2015, Evaluation of mercury in rainbow trout collected from Duck Valley Indian Reservation reservoirs, southwestern Idaho and northern Nevada, 2007, 2009, and 2013: U.S. Geological Survey Scientific Investigations Report 2015–5079, 18 p., https://dx.doi.org/10.3133/sir20155079.","productDescription":"iv, 18 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-044357","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":499132,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2015/5079/correctionNote.txt","text":"Correction note","size":"1 KB"},{"id":305814,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5079/sir20155079.pdf","text":"Report","size":"908 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5079 Report"},{"id":305813,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5079/coverthb.jpg"}],"country":"United States","state":"Idaho, Nevada","otherGeospatial":"Duck Valley Indian Reservation Reservoirs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.71874999999999,\n 41.705728515237524\n ],\n [\n -116.71874999999999,\n 42.24478535602799\n ],\n [\n -115.927734375,\n 42.24478535602799\n ],\n [\n -115.927734375,\n 41.705728515237524\n ],\n [\n -116.71874999999999,\n 41.705728515237524\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
http://id.water.usgs.gov
Stakeholders and water-resource managers in Lincoln County, New Mexico, have had long-standing concerns over the impact of population growth and groundwater withdrawals. These concerns have been exacerbated in recent years by extreme drought conditions and two major wildfires in the upper Rio Hondo Basin, located in south-central New Mexico. The U.S. Geological Survey (USGS), in cooperation with Lincoln County, initiated a study in 2006 to assess and characterize water resources in the upper Rio Hondo Basin. Data collected during water years 2010–13 are presented and interpreted in this report. All data presented in this report are described in water years unless stated otherwise.
\nAnnual mean streamflow at the Rio Ruidoso at Hollywood, N. Mex., streamflow-gaging station was less than 50 percent of the average streamflow during 2011–13 and was of similar magnitude to annual mean streamflow values measured during the drought of the 1950s. The first zero-streamflow values for the period of record (1954–2013) were recorded at the Rio Ruidoso at Hollywood, N. Mex., streamflow-gaging station on June 27–29, 2013. The lowest annual mean streamflow on record (1969–80; 1988–2013) occurred in 2011 at the Eagle Creek below South Fork near Alto, N. Mex., streamflow-gaging station, with the station recording zero streamflow for approximately 50 percent of the year.
\nDiscrete and continuous groundwater-level measurements indicated basinwide water-level declines during drought conditions in 2011–13. The average water-level change among 37 wells in which discrete groundwater-level measurements were collected was -7.6 ft from 2010 to 2013. The largest water-level declines were observed in the upper reaches of the Rio Bonito and Rio Ruidoso watersheds, and smaller declines were observed in the lower reaches of the watersheds. In general, water-level changes observed during 2010–13 were on the order of decadal-scale changes that previously have been observed in the upper Rio Hondo Basin.
\nStable-isotope data indicate that high-elevation winter precipitation generally contributes more to groundwater recharge than summer rains, except when there are large summer recharge events. This implies that little recharge is occurring at the lower elevations in the upper Rio Hondo Basin because these areas receive a smaller amount of total precipitation, receive a smaller proportion of the annual total falling as winter precipitation, and have higher average temperatures that result in more evaporative losses. Groundwater in the upper Rio Hondo Basin is a mix of younger and older water, and recharge likely is occurring primarily at higher elevations but there may be some areas where localized recharge is occurring at lower elevations.
\nSurface-water- and groundwater-quality results from samples collected in 2012–13 were examined to characterize overall chemistry and were compared to historical waterquality data from streams in the upper Rio Hondo Basin collected during 1926–57. In general, specific conductance showed an increasing trend moving eastward (downstream) through the upper Rio Hondo Basin in surface-water and groundwater samples. Surface-water and groundwater samples appear to have similar overall major-ion chemical characteristics when compared to historical water-quality data. Geology was found to influence the chemical characteristics of surface-water and groundwater samples, with relatively higher concentrations of sulfate occurring in samples collected at lower elevations in the Permian regional aquifer system.
\nSurface-water sample results also were analyzed to determine differences in unfiltered and filtered water-quality samples of streams in burned and unburned watersheds after the occurrence of the Little Bear Fire in June 2012. Samples were collected after postfire monsoon rain events and during periods of stable hydrologic conditions. The first postfire monsoon rain event in July 2012 generally produced the highest measured concentrations of selected fire-related constituents in unfiltered samples collected in the burned watersheds relative to later samples collected in burned watersheds and all samples collected in the unburned watershed. Monsoon rain events have impacted water quality by delivering larger sediment loads and fire-related constituents into streams in the upper Rio Hondo Basin.
\nChanges in climate and increased groundwater and surface-water use are likely to affect the availability of water in the upper Rio Hondo Basin. Increased drought probably will increase the potential for wildfires, which can affect downstream water quality and increase flood potential. Climate-research predicted decreases in winter precipitation may have an adverse effect on the amount of groundwater recharge that occurs in the upper Rio Hondo Basin, given the predominance of winter precipitation recharge as indicated by the stable isotope results. Decreases in surface-water supplies because of persistent drought conditions and reductions in the quality of water because of the effects of wildfire may lead to a larger reliance on groundwater reserves in the upper Rio Hondo Basin. Decreasing water levels because of increasing groundwater withdrawal could reduce base flows in the Rio Bonito and Rio Ruidoso. Well organized and scientifically supported regional water-resources management will be necessary for dealing with the likely scenario of increases in demand coupled with decreases in supply in the upper Rio Hondo Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155086","collaboration":"Prepared in cooperation with Lincoln County, New Mexico","usgsCitation":"Sherson, L.R. and Rice, S.E., 2015, Water resources during drought conditions and postfire water quality in the upper Rio Hondo Basin, Lincoln County, New Mexico, 2010–13: U.S. Geological Survey Scientific Investigations Report 2015–5086, 56 p., https://dx.doi.org/10.3133/sir20155086.","productDescription":"vii, 56 p.","numberOfPages":"67","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-058239","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":305800,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5086/coverthb.jpg"},{"id":305801,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5086/sir20155086.pdf","text":"Report","size":"5.79 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5086"}],"country":"United States","state":"New Mexico","county":"Lincoln County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.20208740234375,\n 33.40163829558248\n ],\n [\n -106.20208740234375,\n 34.31394984163214\n ],\n [\n -104.70794677734374,\n 34.31394984163214\n ],\n [\n -104.70794677734374,\n 33.40163829558248\n ],\n [\n -106.20208740234375,\n 33.40163829558248\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
5338 Montgomery Blvd NE, Suite 400
Albuquerque, NM 87109
http://nm.water.usgs.gov/
Despite the ubiquity of Mn oxides in natural environments, there are only a few observations of biological Mn(II) oxidation at pH < 6. The lack of low pH Mn-oxidizing bacteria (MOB) isolates limits our understanding of how pH influences biological Mn(II) oxidation in extreme environments. Here, we report that a novel MOB isolate, Mesorhizobium australicum strain T-G1, isolated from an acidic and metalliferous uranium mining area, can oxidize Mn(II) at both acidic and neutral pH using different enzymatic pathways. X-ray diffraction, Raman spectroscopy, and scanning electron microscopy with energy dispersive X-ray spectroscopy revealed that T-G1 initiated bixbyite-like Mn oxide formation at pH 5.5 which coincided with multi-copper oxidase expression from early exponential phase to late stationary phase. In contrast, reactive oxygen species (ROS), particularly superoxide, appeared to be more important for T-G1 mediated Mn(II) oxidation at neutral pH. ROS was produced in parallel with the occurrence of Mn(II) oxidation at pH 7.2 from early stationary phase. Solid phase Mn oxides did not precipitate, which is consistent with the presence of a high amount of H2O2 and lower activity of catalase in the liquid culture at pH 7.2. Our results show that M. australicum T-G1, an acid tolerant MOB, can initiate Mn(II) oxidation by varying its oxidation mechanisms depending on the pH and may play an important role in low pH manganese biogeochemical cycling.
","language":"English","publisher":"Frontiers Media S.A.","doi":"10.3389/fmicb.2015.00734","usgsCitation":"Bohu, T., Santelli, C.M., Akob, D.M., Neu, T., Ciobota, V., Rosch, P., Popp, J., Nietzsche, S., and Küsel, K., 2015, Characterization of pH dependent Mn(II) oxidation strategies and formation of a bixbyite-like phase by Mesorhizobium australicum T-G1: Frontiers in Microbiology, v. 6, art734: 15 p., https://doi.org/10.3389/fmicb.2015.00734.","productDescription":"art734: 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066249","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":471936,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2015.00734","text":"Publisher Index Page"},{"id":306607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-17","publicationStatus":"PW","scienceBaseUri":"57f7eee2e4b0bc0bec09ed90","contributors":{"authors":[{"text":"Bohu, Tsing","contributorId":37657,"corporation":false,"usgs":false,"family":"Bohu","given":"Tsing","email":"","affiliations":[{"id":13425,"text":"Aquatic Geomicrobiology, Institute of Ecology, Friedrich Schiller University Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":566578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Santelli, Cara M","contributorId":146198,"corporation":false,"usgs":false,"family":"Santelli","given":"Cara","email":"","middleInitial":"M","affiliations":[{"id":16620,"text":"Department of Mineral Sciences, Smithsonian Institution, Washington, DC, USA","active":true,"usgs":false}],"preferred":false,"id":566579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":566577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neu, Thomas R","contributorId":146199,"corporation":false,"usgs":false,"family":"Neu","given":"Thomas R","affiliations":[{"id":16621,"text":"Department of River Ecology, Helmholtz Centre for Environmental Research-UFZ, Magdeburg, Germany","active":true,"usgs":false}],"preferred":false,"id":566580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ciobota, Valerian","contributorId":146200,"corporation":false,"usgs":false,"family":"Ciobota","given":"Valerian","email":"","affiliations":[{"id":16622,"text":"Institute of Physical Chemistry and Abbe School of Photonics, Friedrich Schiller University Jena, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":566581,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosch, Petra","contributorId":146201,"corporation":false,"usgs":false,"family":"Rosch","given":"Petra","email":"","affiliations":[{"id":16622,"text":"Institute of Physical Chemistry and Abbe School of Photonics, Friedrich Schiller University Jena, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":566582,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Popp, Jurgen","contributorId":146202,"corporation":false,"usgs":false,"family":"Popp","given":"Jurgen","email":"","affiliations":[{"id":16622,"text":"Institute of Physical Chemistry and Abbe School of Photonics, Friedrich Schiller University Jena, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":566583,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nietzsche, Sándor","contributorId":146203,"corporation":false,"usgs":false,"family":"Nietzsche","given":"Sándor","affiliations":[{"id":16623,"text":"Centre of Electron Microscopy, University Hospital Jena, Friedrich Schiller University Jena, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":566584,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Küsel, Kirsten","contributorId":96191,"corporation":false,"usgs":false,"family":"Küsel","given":"Kirsten","affiliations":[{"id":13425,"text":"Aquatic Geomicrobiology, Institute of Ecology, Friedrich Schiller University Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":566585,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70155511,"text":"70155511 - 2015 - Pore-pressure sensitivities to dynamic strains: observations in active tectonic regions","interactions":[],"lastModifiedDate":"2015-09-28T11:12:18","indexId":"70155511","displayToPublicDate":"2015-07-17T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Pore-pressure sensitivities to dynamic strains: observations in active tectonic regions","docAbstract":"Triggered seismicity arising from dynamic stresses is often explained by the Mohr-Coulomb failure criterion, where elevated pore pressures reduce the effective strength of faults in fluid-saturated rock. The seismic response of a fluid-rock system naturally depends on its hydro-mechanical properties, but accurately assessing how pore-fluid pressure responds to applied stress over large scales in situ remains a challenging task; hence, spatial variations in response are not well understood, especially around active faults. Here I analyze previously unutilized records of dynamic strain and pore-pressure from regional and teleseismic earthquakes at Plate Boundary Observatory (PBO) stations from 2006 through 2012 to investigate variations in response along the Pacific/North American tectonic plate boundary. I find robust scaling-response coefficients between excess pore pressure and dynamic strain at each station that are spatially correlated: around the San Andreas and San Jacinto fault systems, the response is lowest in regions of the crust undergoing the highest rates of secular shear strain. PBO stations in the Parkfield instrument cluster are at comparable distances to the San Andreas fault (SAF), and spatial variations there follow patterns in dextral creep rates along the fault, with the highest response in the actively creeping section, which is consistent with a narrowing zone of strain accumulation seen in geodetic velocity profiles. At stations in the San Juan Bautista (SJB) and Anza instrument clusters, the response depends non-linearly on the inverse fault-perpendicular distance, with the response decreasing towards the fault; the SJB cluster is at the northern transition from creeping-to-locked behavior along the SAF, where creep rates are at moderate to low levels, and the Anza cluster is around the San Jacinto fault, where to date there have been no statistically significant creep rates observed at the surface. These results suggest that the strength of the pore pressure response in fluid-saturated rock near active faults is controlled by shear strain accumulation associated with tectonic loading, which implies a strong feedback between fault strength and permeability: dynamic triggering susceptibilities may vary in space and also in time.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Richmond, VA","doi":"10.1002/2015JB012201","usgsCitation":"Barbour, A., 2015, Pore-pressure sensitivities to dynamic strains: observations in active tectonic regions: Journal of Geophysical Research B: Solid Earth, v. 120, no. 8, p. 5863-5883, https://doi.org/10.1002/2015JB012201.","productDescription":"21 p.","startPage":"5863","endPage":"5883","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062248","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":471937,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jb012201","text":"Publisher Index Page"},{"id":306526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-18","publicationStatus":"PW","scienceBaseUri":"55c9cb37e4b08400b1fdb720","contributors":{"authors":[{"text":"Barbour, Andrew J. 0000-0002-6890-2452 abarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":140443,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew J.","email":"abarbour@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":565621,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70150406,"text":"ofr20151121 - 2015 - Phosphate occurrence and potential in the region of Afghanistan, including parts of China, Iran, Pakistan, Tajikistan, Turkmenistan, and Uzbekistan","interactions":[],"lastModifiedDate":"2021-08-23T16:23:09.804195","indexId":"ofr20151121","displayToPublicDate":"2015-07-17T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1121","title":"Phosphate occurrence and potential in the region of Afghanistan, including parts of China, Iran, Pakistan, Tajikistan, Turkmenistan, and Uzbekistan","docAbstract":"As part of a larger study, the U.S. Geological Survey undertook a study to identify the potential for phosphate deposits in Afghanistan. As part of this study, a geographic information system was constructed containing a database of phosphate occurrences in Afghanistan and adjacent countries, and a database of potential host lithologies compiled from 1:1,000,000 scale maps. Within Afghanistan, a handful of known occurrences and reports indicate the presence of phosphate in Permian, Cretaceous, and Paleogene sediments and in carbonatite. With the exception of the Khanneshin carbonatite, very little is known about these occurrences. In the countries surrounding Afghanistan, economic phosphate is known to occur in Cambrian, Devonian, and Paleogene sediments and in Kiruna-type Fe-apatite deposits. Many of the host units may extend into Afghanistan or equivalent units may be present. Although the possibility of economic phosphate deposits exist for Afghanistan, the need for detailed exploration for phosphate, the remoteness of some locations, and the probability that a deposit would not be exposed at the surface mean that one or more deposits are not likely to be identified in the near future. Even if a phosphate-bearing deposit is identified in Afghanistan, it is not clear if the probable size, thickness, and grade ranges would allow economic development of the hypothesized resource.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151121","usgsCitation":"Orris, G.J., Dunlap, P., Wallis, J., and Wynn, J., 2015, Phosphate occurrence and potential in the region of Afghanistan, including parts of China, Iran, Pakistan, Tajikistan, Turkmenistan, and Uzbekistan: U.S. Geological Survey Open-File Report 2015-1121, vi, 70 p., https://doi.org/10.3133/ofr20151121.","productDescription":"vi, 70 p.","numberOfPages":"76","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051109","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":305804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151121.gif"},{"id":305803,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2015/1121/downloads/ofr20151121_gis.zip","text":"GIS package","size":"19.5 MB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2015-1121 GIS database","linkHelpText":"Contains: geospatial database. Refer to the Readme and Metadata files for more information."},{"id":305796,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1121/"},{"id":305802,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1121/pdf/ofr20151121_report.pdf","text":"Report","size":"8.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1121 Report"}],"country":"China, Iran, Pakistan, Tajikistan, Turkmenistan, Uzbekistan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 43.857421875,\n 24.766784522874453\n ],\n [\n 43.857421875,\n 40.04443758460859\n ],\n [\n 67.236328125,\n 40.04443758460859\n ],\n [\n 67.236328125,\n 24.766784522874453\n ],\n [\n 43.857421875,\n 24.766784522874453\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7eee2e4b0bc0bec09ed92","contributors":{"authors":[{"text":"Orris, Greta J. 0000-0002-2340-9955 greta@usgs.gov","orcid":"https://orcid.org/0000-0002-2340-9955","contributorId":3472,"corporation":false,"usgs":true,"family":"Orris","given":"Greta","email":"greta@usgs.gov","middleInitial":"J.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":564965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunlap, Pamela pdunlap@usgs.gov","contributorId":5329,"corporation":false,"usgs":true,"family":"Dunlap","given":"Pamela","email":"pdunlap@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":564966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallis, John jwallis@usgs.gov","contributorId":143684,"corporation":false,"usgs":true,"family":"Wallis","given":"John","email":"jwallis@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":564967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wynn, Jeff 0000-0002-8102-3882 jwynn@usgs.gov","orcid":"https://orcid.org/0000-0002-8102-3882","contributorId":2803,"corporation":false,"usgs":true,"family":"Wynn","given":"Jeff","email":"jwynn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":564968,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70154741,"text":"fs20153049 - 2015 - USGS Arctic Science Strategy","interactions":[],"lastModifiedDate":"2017-06-30T15:03:44","indexId":"fs20153049","displayToPublicDate":"2015-07-17T03:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3049","title":"USGS Arctic Science Strategy","docAbstract":"The United States is one of eight Arctic nations responsible for the stewardship of a polar region undergoing dramatic environmental, social, and economic changes. Although warming and cooling cycles have occurred over millennia in the Arctic region, the current warming trend is unlike anything recorded previously and is affecting the region faster than any other place on Earth, bringing dramatic reductions in sea ice extent, altered weather, and thawing permafrost. Implications of these changes include rapid coastal erosion threatening villages and critical infrastructure, potentially significant effects on subsistence activities and cultural resources, changes to wildlife habitat, increased greenhouse-gas emissions from thawing permafrost, threat of invasive species, and opening of the Arctic Ocean to oil and gas exploration and increased shipping. The Arctic science portfolio of the U.S. Geological Survey (USGS) and its response to climate-related changes focuses on landscapescale ecosystem and natural resource issues and provides scientific underpinning for understanding the physical processes that shape the Arctic. The science conducted by the USGS informs the Nation's resource management policies and improves the stewardship of the Arctic Region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153049","usgsCitation":"Shasby, Mark, and Smith, Durelle, 2015, USGS Arctic science strategy, 2015–2020: U.S. Geological Survey Fact Sheet 2015-3049, 2 p., https://dx.doi.org/10.3133/fs20153049.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-065204","costCenters":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"links":[{"id":305544,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3049/fs20153049.pdf","text":"Report PDF","size":"446 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3049"},{"id":305543,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3049/images/cover.jpg"},{"id":305545,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3049/","text":"Report HTML","linkFileType":{"id":5,"text":"html"},"description":"FS 2015-3049 HTML"}],"otherGeospatial":"Arctic Circle boundary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -217.265625,\n 67.74275906666387\n ],\n [\n -198.98437499999997,\n 65.94647177615738\n ],\n [\n -163.828125,\n 65.94647177615738\n ],\n [\n -59.765625,\n 66.23145747862573\n ],\n [\n -11.25,\n 76.67978490310692\n ],\n [\n -11.953125,\n 84.05256097843035\n ],\n [\n -340.3125,\n 82.21421714106776\n ],\n [\n -341.71875,\n 69.41124235697256\n ],\n [\n -217.265625,\n 67.74275906666387\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Regional Director for Alaska
U.S. Geological Survey
4210 University Drive, Anchorage, Alaska 99508
(907) 786-7000
http://alaska.usgs.gov
Groundwater withdrawals have caused saltwater to encroach into freshwater-bearing aquifers beneath Baton Rouge, Louisiana. The 10 aquifers beneath the Baton Rouge area, which includes East and West Baton Rouge Parishes, Pointe Coupee Parish, and East and West Feliciana Parishes, provided about 184.3 million gallons per day (Mgal/d) for public supply and industrial use in 2012. Groundwater withdrawals from the “1,200-foot” sand in East Baton Rouge Parish have caused water-level drawdown as large as 177 feet (ft) north of the Baton Rouge Fault and limited saltwater encroachment from south of the fault. The recently developed groundwater model for simulating transport in the “2,000-foot” sand was rediscretized to also enable transport simulation within the “1,200-foot” sand and was updated with groundwater withdrawal data through 2012. The model was recalibrated to water-level observation data through 2012 with the parameter-estimation code PEST and calibrated to observed chloride concentrations at observation wells within the “1,200-foot” sand and “2,000-foot” sand. The model is designed to evaluate strategies to control saltwater migration, including changes in the distribution of groundwater withdrawals and installation of scavenger wells to intercept saltwater before it reaches existing production wells.
\nSeven hypothetical scenarios predict the effects of different groundwater withdrawal options on groundwater levels and the transport of chloride within the “1,200-foot” sand and the “2,000-foot” sand during 2015–2112. The predicted water levels and concentrations for all scenarios are depicted in maps for the years 2047 and 2112. The first scenario is a base case for comparison to the six other scenarios and simulates continuation of 2012 reported groundwater withdrawals through 2112 (100 years). The second scenario that simulates increased withdrawals from industrial wells in the “1,200-foot” sand predicts that water levels will be 12–25 ft lower by 2047 and that there will be a negligible difference in chloride concentrations within the “1,200-foot” sand. The five other scenarios simulate the effects of various withdrawal schemes on water levels and chloride concentrations within the “2,000-foot” sand. Amongst these five other scenarios, three of the scenarios simulate only various withdrawal reductions, whereas the two others also incorporate withdrawals from a scavenger well that is designed to extract salty water from the base of the “2,000-foot” sand. Two alternative pumping rates (2.5 Mgal/d and 1.25 Mgal/d) are simulated in each of the scavenger-well scenarios. For the “2,000-foot” sand scenarios, comparison of the predicted effects of the scenarios is facilitated by graphs of predicted chloride concentrations through time at selected observation wells, plots of salt mass in the aquifer through time, and a summary of the predicted plume area and average concentration. In all scenarios, water levels essentially equilibrate by 2047, after 30 years of simulated constant withdrawal rates. Although predicted water-level recovery within the “2,000-foot” sand is greatest for the scenario with the greatest reduction in groundwater withdrawal from that aquifer, the scavenger-well scenarios are most effective in mitigating the future extent and concentration of the chloride plume. The simulated scavenger-well withdrawal rate has more influence on the plume area and concentration than do differences among the scenarios in industrial and public-supply withdrawal rates.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155083","collaboration":"Prepared in cooperation with the Capital Area Groundwater Conservation Commission; the Louisiana Department of Transportation and Development, Public Works and Water Resources Division; and the City of Baton Rouge and Parish of East Baton Rouge","usgsCitation":"Heywood, C.E., Lovelace, J.K., and Griffith, J.M., 2015, Simulation of groundwater flow and chloride transport in the “1,200-foot” sand with scenarios to mitigate saltwater migration in the “2,000-foot” sand in the Baton Rouge area, Louisiana (ver. 1.1, September 2015): U.S. Geological Survey Scientific Investigations Report 2015–5083, 69 p.,\nhttps://dx.doi.org/10.3133/sir20155083.","productDescription":"xi, 69 p.","numberOfPages":"85","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060614","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":308118,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2015/5083/versionHist.txt","text":"Version History","size":"1 kB","linkFileType":{"id":2,"text":"txt"}},{"id":305784,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5083/coverthb.jpg"},{"id":305785,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5083/sir20155083.pdf","text":"Report","size":"17.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5083 ver1.1"}],"country":"United States","state":"Louisiana, Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.318115234375,\n 30.372875188118016\n ],\n [\n -92.318115234375,\n 31.44741029142872\n ],\n [\n -90.52734374999999,\n 31.44741029142872\n ],\n [\n -90.52734374999999,\n 30.372875188118016\n ],\n [\n -92.318115234375,\n 30.372875188118016\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: Originally posted July 16, 2015; Version 1.1: September 14, 2015","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816
http://la.water.usgs.gov/
This Data Series summarizes results from July 2013 sampling in the western Alaska Range near Mount Estelle, Alaska. The fieldwork combined in situ and camp-based spectral measurements of talus/soil and rock samples. Five rock and 48 soil samples were submitted for quantitative geochemical analysis (for 55 major and trace elements), and the 48 soils samples were also analyzed by x-ray diffraction to establish mineralogy and geochemistry. The results and sample photographs are presented in a geodatabase that accompanies this report. The spectral, mineralogical, and geochemical characterization of these samples and the sites that they represent can be used to validate existing remote-sensing datasets (for example, ASTER) and future hyperspectral studies. Empirical evidence of jarosite (as identified by x-ray diffraction and spectral analysis) corresponding with gold concentrations in excess of 50 parts per billion in soil samples suggests that surficial mapping of jarosite in regional surveys may be useful for targeting areas of prospective gold occurrences in this sampling area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds943","usgsCitation":"Johnson, M.R., Graham, G.E., Hubbard, B.E., and Benzel, W.M., 2015, Geospatial compilation of results from field sample collection in support of mineral resource investigations, Western Alaska Range, Alaska, July 2013: U.S. Geological Survey Data Series 943, 12 p., https://dx.doi.org/10.3133/ds943.","productDescription":"Report: iv, 12 p.; 1 Table","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-060029","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":305729,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/ds/0943/downloads/Western_Alaska_Range_samples_July2013.gdb.zip","text":"File Geodatabase","size":"656 MB","description":"DS 943 File Geodatabase"},{"id":305727,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0943/ds0943.pdf","text":"Report","size":"14.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 943"},{"id":305732,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/0943/downloads/Metadata","text":"Metadata","description":"DS 943 Metadata"},{"id":305726,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0943/coverthb.jpg"},{"id":305730,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/ds/0943/downloads/Western_Alaska_Range_samples_July2013_shp.zip","text":"Shapefiles","size":"647 MB","description":"DS 943 Shapefiles"},{"id":305731,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/0943/downloads/RESULTS_data_tables","text":"Comma-delimited tables","linkFileType":{"id":7,"text":"csv"},"description":"DS 943 Comma-delimited tables"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.75,\n 61.25\n ],\n [\n -153.75,\n 62.5\n ],\n [\n -152.25,\n 62.5\n ],\n [\n -152.25,\n 61.25\n ],\n [\n -153.75,\n 61.25\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Crustal Geophysics and Geochemistry Science Center
U.S. Geological Survey
Box 25046, MS 964
Denver, CO 80225
http://crustal.usgs.gov/
During October 2012 through March 2013, the U.S. Geological Survey (USGS), in cooperation with the U.S. Environmental Protection Agency (EPA) Region 4, Superfund Section, conducted borehole geophysical logging, surface geophysical surveys, and water-quality profiling in selected wells and areas to characterize or delineate the extent of elevated subsurface electrical conductivity at the EPA Barite Hill/Nevada Goldfields Superfund site near McCormick, South Carolina. Elevated electrical conductivity measured at the site may be related to native rock materials, waste rock disposal areas used in past operations, and (or) groundwater having elevated dissolved solids (primarily metals and major ions) related to waste migration. Five shallow screened wells and four open-borehole bedrock wells were logged by using a suite of borehole tools, and downhole water-quality profiles were recorded in two additional wells. Well depths ranged from about 26 to 300 feet below land surface. Surface geophysical surveys based on frequency-domain electromagnetic and distributed temperature sensing (DTS) techniques were used to identify areas of elevated electrical conductivity (Earth materials and groundwater) and potential high dissolved solids in groundwater and surface water on land and in areas along the northern unnamed tributary at the site.
\nResults from the electromagnetic-induction logging of four selected wells near the Main Pit and one well located about 800 feet southeast of the Main Pit lake indicate that elevated electrical conductivity extends to a depth of about 110 feet below land surface. Groundwater-quality properties recorded in eight selected wells were highly variable, suggesting a broad spectrum of geochemical conditions and contaminant concentrations within the groundwater system. Ranges of field water-quality properties recorded from water-profiling of groundwater in all wells logged were as follows: pH, 3.1 to 9.2; specific conductance, 48 to 5,300 microsiemens per centimeter; dissolved oxygen, 0.2 to 4.4 milligrams per liter; and water temperature, 17.0 to 18.0 degrees Celsius. The highest specific conductance and lowest pH measurements were made in boreholes located between the Main Pit lake and the northern unnamed tributary. Conceptually, these wells may intercept elevated dissolved solids in groundwater leaking from the Main Pit lake along a flow path that discharges into the unnamed tributary to the north. Results from surface geophysical electromagnetic and fiber-optics surveys confirm areas of focused discharge of groundwater near the Main Pit lake along the northern unnamed tributary. The frequency-domain surface electromagnetic surveys also identified an area with higher levels of elevated electrical conductivity located northwest of the former Rainsford Pit area.
\nBedrock properties were characterized from borehole geophysical logs collected from three open-borehole bedrock wells. The mean strike azimuth of the borehole foliation data measured in bedrock well IR-1 was 221° (N. 41° E.), and the mean dip angle was 78° to the northwest. Dominant strike azimuth orientations of primary fractures measured in three boreholes were from 210° to 250° (N. 30° E. to N. 70° E.) with a mean dip of 68° northwest. Transmissivity estimates interpreted from the heat-pulse flowmeter data from bedrock well IR-1 were about 69 feet squared per day, and the radius of influence was estimated at about 640 feet.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155084","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Region 4, Superfund Section","usgsCitation":"Chapman, M.J., Huffman, B.A., and McSwain, K.B., 2015, Delineation of areas having elevated electrical conductivity, orientation and characterization of bedrock fractures, and occurrence of groundwater discharge to surface water at the U.S. Environmental Protection Agency Barite Hill/Nevada Goldfields Superfund site near McCormick, South Carolina: U.S. Geological Survey Scientific Investigations Report 2015–5084, 95 p., https://dx.doi.org/10.3133/sir20155084.","productDescription":"ix, 95 p.","numberOfPages":"109","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-049026","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":305692,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5084/coverthb.jpg"},{"id":305693,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5084/sir20155084.pdf","text":"Report","size":"9.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5084"}],"country":"United States","state":"South Carolina","city":"McCormick","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.33772277832031,\n 33.868135032968624\n ],\n [\n -82.33772277832031,\n 33.937093739554385\n ],\n [\n -82.22854614257812,\n 33.937093739554385\n ],\n [\n -82.22854614257812,\n 33.868135032968624\n ],\n [\n -82.33772277832031,\n 33.868135032968624\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, South Atlantic Water Science Center
U.S. Geological Survey
720 Gracern Road, Suite 129
Columbia, SC 29210
http://www.usgs.gov/water/southatlantic
","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2015-07-16","noUsgsAuthors":false,"publicationDate":"2015-07-16","publicationStatus":"PW","scienceBaseUri":"57f7eee2e4b0bc0bec09ed98","contributors":{"authors":[{"text":"Chapman, Melinda J. 0000-0003-4021-0320 mjchap@usgs.gov","orcid":"https://orcid.org/0000-0003-4021-0320","contributorId":1597,"corporation":false,"usgs":true,"family":"Chapman","given":"Melinda","email":"mjchap@usgs.gov","middleInitial":"J.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huffman, Brad A. 0000-0003-4025-1325 bahuffma@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1325","contributorId":1596,"corporation":false,"usgs":true,"family":"Huffman","given":"Brad","email":"bahuffma@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McSwain, Kristen Bukowski","contributorId":74694,"corporation":false,"usgs":true,"family":"McSwain","given":"Kristen Bukowski","affiliations":[],"preferred":false,"id":548854,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188817,"text":"70188817 - 2015 - The emergence of volcanic oceanic islands on a slow-moving plate: The example of Madeira Island, NE Atlantic","interactions":[],"lastModifiedDate":"2017-06-26T12:33:04","indexId":"70188817","displayToPublicDate":"2015-07-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"The emergence of volcanic oceanic islands on a slow-moving plate: The example of Madeira Island, NE Atlantic","docAbstract":"
The transition from seamount to oceanic island typically involves surtseyan volcanism. However, the geological record at many islands in the NE Atlantic—all located within the slow-moving Nubian plate—does not exhibit evidence for an emergent surtseyan phase but rather an erosive unconformity between the submarine basement and the overlying subaerial shield sequences. This suggests that the transition between seamount and island may frequently occur by a relative fall of sea level through uplift, eustatic changes, or a combination of both, and may not involve summit volcanism. In this study, we explore the consequences for island evolutionary models using Madeira Island (Portugal) as a case study. We have examined the geologic record at Madeira using a combination of detailed fieldwork, biostratigraphy, and 40Ar/39Ar geochronology in order to document the mode, timing, and duration of edifice emergence above sea level. Our study confirms that Madeira's subaerial shield volcano was built upon the eroded remains of an uplifted seamount, with shallow marine sediments found between the two eruptive sequences and presently located at 320–430 m above sea level. This study reveals that Madeira emerged around 7.0–5.6 Ma essentially through an uplift process and before volcanic activity resumed to form the subaerial shield volcano. Basal intrusions are a likely uplift mechanism, and their emplacement is possibly enhanced by the slow motion of the Nubian plate relative to the source of partial melting. Alternating uplift and subsidence episodes suggest that island edifice growth may be governed by competing dominantly volcanic and dominantly intrusive processes.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014GC005657","usgsCitation":"Ramalho, R., da Silveira, A.B., Fonseca, P., Madeira, J., Cosca, M.A., Cachao, M., Fonseca, M.M., and Prada, S., 2015, The emergence of volcanic oceanic islands on a slow-moving plate: The example of Madeira Island, NE Atlantic: Geochemistry, Geophysics, Geosystems, v. 16, no. 2, p. 522-537, https://doi.org/10.1002/2014GC005657.","productDescription":"16 p.","startPage":"522","endPage":"537","ipdsId":"IP-059179","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":471939,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gc005657","text":"Publisher Index Page"},{"id":342882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Madeira Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -17.275,\n 32.9\n ],\n [\n -16.625,\n 32.9\n ],\n [\n -16.625,\n 32.616667\n ],\n [\n -17.275,\n 32.616667\n ],\n [\n -17.275,\n 32.9\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-24","publicationStatus":"PW","scienceBaseUri":"59521d21e4b062508e3c3687","contributors":{"authors":[{"text":"Ramalho, Ricardo","contributorId":193475,"corporation":false,"usgs":false,"family":"Ramalho","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":700481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"da Silveira, Antonio Brum","contributorId":193509,"corporation":false,"usgs":false,"family":"da Silveira","given":"Antonio","email":"","middleInitial":"Brum","affiliations":[],"preferred":false,"id":700482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fonseca, Paulo","contributorId":193443,"corporation":false,"usgs":false,"family":"Fonseca","given":"Paulo","email":"","affiliations":[],"preferred":false,"id":700483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madeira, Jose","contributorId":193477,"corporation":false,"usgs":false,"family":"Madeira","given":"Jose","email":"","affiliations":[],"preferred":false,"id":700484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":700480,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cachao, Mario","contributorId":193445,"corporation":false,"usgs":false,"family":"Cachao","given":"Mario","email":"","affiliations":[],"preferred":false,"id":700485,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fonseca, Maria M.","contributorId":193446,"corporation":false,"usgs":false,"family":"Fonseca","given":"Maria","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":700486,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prada, Susana","contributorId":193447,"corporation":false,"usgs":false,"family":"Prada","given":"Susana","email":"","affiliations":[],"preferred":false,"id":700487,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70154745,"text":"70154745 - 2015 - Coastal and wetland ecosystems of the Chesapeake Bay watershed: Applying palynology to understand impacts of changing climate, sea level, and land use","interactions":[],"lastModifiedDate":"2017-05-08T16:14:58","indexId":"70154745","displayToPublicDate":"2015-07-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Coastal and wetland ecosystems of the Chesapeake Bay watershed: Applying palynology to understand impacts of changing climate, sea level, and land use","docAbstract":"The mid-Atlantic region and Chesapeake Bay watershed have been influenced by fluctuations in climate and sea level since the Cretaceous, and human alteration of the landscape began ~12,000 years ago, with greatest impacts since colonial times. Efforts to devise sustainable management strategies that maximize ecosystem services are integrating data from a range of scientific disciplines to understand how ecosystems and habitats respond to different climatic and environmental stressors. Palynology has played an important role in improving understanding of the impact of changing climate, sea level, and land use on local and regional vegetation. Additionally, palynological analyses have provided biostratigraphic control for surficial mapping efforts and documented agricultural activities of both Native American populations and European colonists. This field trip focuses on sites where palynological analyses have supported efforts to understand the impacts of changing climate and land use on the Chesapeake Bay ecosystem.
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","usgsCitation":"Willard, D.A., Bernhardt, C.E., Hupp, C.R., and Newell, W.L., 2015, Coastal and wetland ecosystems of the Chesapeake Bay watershed: Applying palynology to understand impacts of changing climate, sea level, and land use, v. 40, p. 281-308.","productDescription":"28 p.","startPage":"281","endPage":"308","ipdsId":"IP-066190","costCenters":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"links":[{"id":340966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.79443359375,\n 36.90597988519294\n ],\n [\n 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This study quantifies the aftershock vulnerability of four modern ductile reinforced concrete (RC) framed buildings in California by conducting incremental dynamic analysis of nonlinear MDOF analytical models. Based on the nonlinear dynamic analysis results, collapse and damage fragility curves are generated for intact and damaged buildings. If the building is not severely damaged in the mainshock, its collapse capacity is unaffected in the aftershock. However, if the building is extensively damaged in the mainshock, there is a significant reduction in its collapse capacity in the aftershock. For example, if an RC frame experiences 4% or more interstory drift in the mainshock, the median capacity to resist aftershock shaking is reduced by about 40%. The study also evaluates the effectiveness of different measures of physical damage observed in the mainshock-damaged buildings for predicting the reduction in collapse capacity of the damaged building in subsequent aftershocks. These physical damage indicators for the building are chosen such that they quantify the qualitative red tagging (unsafe for occupation) criteria employed in post-earthquake evaluation of RC frames. The results indicated that damage indicators related to the drift experienced by the damaged building best predicted the reduced aftershock collapse capacities for these ductile structures.
","language":"English","publisher":"International Association for Earthquake Engineering","doi":"10.1002/eqe.2478","usgsCitation":"Raghunandan, M., Liel, A.B., and Luco, N., 2015, Aftershock collapse vulnerability assessment of reinforced concrete frame structures: Earthquake Engineering and Structural Dynamics, v. 44, no. 3, p. 419-439, https://doi.org/10.1002/eqe.2478.","productDescription":"21 p.","startPage":"419","endPage":"439","ipdsId":"IP-060643","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-04","publicationStatus":"PW","scienceBaseUri":"59882a96e4b05ba66e9ffdde","contributors":{"authors":[{"text":"Raghunandan, Meera","contributorId":184157,"corporation":false,"usgs":false,"family":"Raghunandan","given":"Meera","email":"","affiliations":[],"preferred":false,"id":707266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liel, Abbie B.","contributorId":184158,"corporation":false,"usgs":false,"family":"Liel","given":"Abbie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":707267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707265,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148394,"text":"70148394 - 2015 - Morphodynamic data assimilation used to understand changing coasts","interactions":[],"lastModifiedDate":"2017-06-05T11:23:54","indexId":"70148394","displayToPublicDate":"2015-07-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Morphodynamic data assimilation used to understand changing coasts","docAbstract":"Morphodynamic data assimilation blends observations with model predictions and comes in many forms, including linear regression, Kalman filter, brute-force parameter estimation, variational assimilation, and Bayesian analysis. Importantly, data assimilation can be used to identify sources of prediction errors that lead to improved fundamental understanding. Overall, models incorporating data assimilation yield better information to the people who must make decisions impacting safety and wellbeing in coastal regions that experience hazards due to storms, sea-level rise, and erosion. We present examples of data assimilation associated with morphologic change. We conclude that enough morphodynamic predictive capability is available now to be useful to people, and that we will increase our understanding and the level of detail of our predictions through assimilation of observations and numerical-statistical models.
","conferenceTitle":"Coastal Sediments 2015","conferenceDate":"May 11-15, 2015","conferenceLocation":"San Diego, CA","language":"English","publisher":"World Scientific Publishing Company","doi":"10.1142/9789814689977_0244","usgsCitation":"Plant, N.G., and Long, J.W., 2015, Morphodynamic data assimilation used to understand changing coasts, Coastal Sediments 2015, San Diego, CA, May 11-15, 2015, https://doi.org/10.1142/9789814689977_0244.","ipdsId":"IP-063044","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":342088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-15","publicationStatus":"PW","scienceBaseUri":"59366dabe4b0f6c2d0d7d636","contributors":{"authors":[{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":547977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547978,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148391,"text":"70148391 - 2015 - Integrating geophysical and oceanographic data to assess interannual variability in longshore sediment transport","interactions":[],"lastModifiedDate":"2017-06-05T13:09:46","indexId":"70148391","displayToPublicDate":"2015-07-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Integrating geophysical and oceanographic data to assess interannual variability in longshore sediment transport","docAbstract":"Despite their utility for prediction of coastal behavior and for coastal management, littoral sediment budgets are difficult to quantify over large regions of coastline and over short time scales. In this study, bathymetric change analysis shows differences in the magnitude and spatial location of erosion and accretion over three years; more net accumulation occurred at the littoral end point of the system in the second year (2012-2013) compared to the first (2011-2012). However, the estimated magnitude of longshore transport based on wave characteristics was lower in the second year than for the first year. Similarly, comparisons of total water levels and island elevation over the study period show increased number of overwash hours in the second year, indicating increased cross-shore sediment losses and presumably less sediment transported alongshore. The storm-mediated degradation of the man-made northern portion of the island resulting in increased sub-aqueous sediment availability may explain the observations.