We have used small angle neutron scattering (SANS) to investigate the differences in methane and hexane penetration in pores in bituminous coal samples from the U.S., Canada, South Africa, and China, and maceral concentrates from Australian coals. This work is an extension of previous work that showed consistent differences between the extent of penetration by methane into 10–20 nm size pores in inertinite in bituminous coals from Australia, North America and Poland.
In this study we have confirmed that there are differences in the response of inertinite to methane and hexane penetration in coals sourced from different coal basins. Inertinite in Permian Australian coals generally has relatively high numbers of pores in the 2.5–250 nm size range and the pores are highly penetrable by methane and hexane; coals sourced from Western Canada had similar penetrability to these Australian coals. However, the penetrability of methane and hexane into inertinite from the Australian Illawarra Coal Measures (also Permian) is substantially less than that of the other Australian coals; there are about 80% fewer 12 nm pores in Illawarra inertinite compared to the other Australian coals examined. The inertinite in coals sourced from South Africa and China had accessibility intermediate between the Illawarra coals and the other Australian coals.
The extent of hexane penetration was 10–20% less than CD4 penetration into the same coal and this difference was most pronounced in the 5–50 nm pore size range. Hexane and methane penetrability into the coals showed similar trends with inertinite content.
The observed variations in inertinite porosity between coals from different coal regions and coal basins may explain why previous studies differ in their observations of the relationships between gas sorption behavior, permeability, porosity, and maceral composition. These variations are not simply a demarcation between Northern and Southern Hemisphere coals.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2017.11.010","usgsCitation":"Sakurovs, R., Koval, L., Grigore, M., Sokolava, A., Ruppert, L.F., and Melnichenko, Y.B., 2018, Nanometre-sized pores in coal: Variations between coal basins and coal origin: International Journal of Coal Geology, v. 186, p. 126-134, https://doi.org/10.1016/j.coal.2017.11.010.","productDescription":"9 p.","startPage":"126","endPage":"134","ipdsId":"IP-089869","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":469052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2017.11.010","text":"Publisher Index Page"},{"id":352866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"186","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee744e4b0da30c1bfc20f","contributors":{"authors":[{"text":"Sakurovs, Richard 0000-0003-0967-6560","orcid":"https://orcid.org/0000-0003-0967-6560","contributorId":196194,"corporation":false,"usgs":false,"family":"Sakurovs","given":"Richard","email":"","affiliations":[],"preferred":false,"id":709569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koval, Lukas","contributorId":196195,"corporation":false,"usgs":false,"family":"Koval","given":"Lukas","email":"","affiliations":[],"preferred":false,"id":709570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grigore, Mihaela","contributorId":196196,"corporation":false,"usgs":false,"family":"Grigore","given":"Mihaela","email":"","affiliations":[],"preferred":false,"id":709571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sokolava, Anna","contributorId":196198,"corporation":false,"usgs":false,"family":"Sokolava","given":"Anna","email":"","affiliations":[],"preferred":false,"id":709573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":709568,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Melnichenko, Yuri B.","contributorId":196197,"corporation":false,"usgs":false,"family":"Melnichenko","given":"Yuri","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":709572,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195968,"text":"70195968 - 2018 - Contaminant-associated health effects in fishes from the Ottawa and Ashtabula Rivers, Ohio","interactions":[],"lastModifiedDate":"2018-03-09T15:24:42","indexId":"70195968","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Contaminant-associated health effects in fishes from the Ottawa and Ashtabula Rivers, Ohio","docAbstract":"The health of resident fishes serves as a biologically relevant barometer of aquatic ecosystem integrity. Here, the health of the Ottawa River and Ashtabula River (both within the Lake Erie Basin) were assessed using morphological and immunological biomarkers in brown bullheads (Ameiurus nebulosus) and largemouth bass (Micropterus salmoides). Biomarker metrics were compared to fish collected from a reference site (Conneaut Creek). Data utilized for analyses were collected between 2003 and 2011. Fish collected from all three river systems had markedly different contaminant profiles. Total PCBs were the dominant contaminant class by mass. In bullhead, PCBs were highest in fish from the Ashtabula River and there were no differences in fish collected pre- or post-remediation of Ashtabula Harbor (median = 4.6 and 5.5 mg/kg respectively). Excluding PCBs, the Ottawa River was dominated by organochlorine pesticides. Liver tumor prevalence exceeded the 5% trigger level at both the Ashtabula (7.7%) and Ottawa Rivers (10.2%), but was not statistically different than that at the reference site. There was no statistically significant association between microscopic lesions, gross pathology and contaminant body burdens. Collectively, contaminant body burdens were generally negatively correlated with functional immune responses including bactericidal, cytotoxic-cell and respiratory burst activity in both species. Exceptions were positive correlations of HCB and heptachlor epoxide with respiratory burst activity in largemouth bass, and HCB with respiratory burst activity in bullhead and ΣBHC for all three functional assays in bullhead. Data here provide additional support that organochlorine contamination is associated with immunomodulation, and that species differences exist within sites.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.11.010","usgsCitation":"Iwanowicz, L.R., Blazer, V., Walsh, H.L., Shaw, C.H., DeVault, D.S., and Banda, J.A., 2018, Contaminant-associated health effects in fishes from the Ottawa and Ashtabula Rivers, Ohio: Journal of Great Lakes Research, v. 44, no. 1, p. 184-196, https://doi.org/10.1016/j.jglr.2017.11.010.","productDescription":"13 p.","startPage":"184","endPage":"196","ipdsId":"IP-074666","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2017.11.010","text":"Publisher Index Page"},{"id":352383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.8751220703125,\n 41.21585377825921\n ],\n [\n -79.727783203125,\n 41.21585377825921\n ],\n [\n -79.727783203125,\n 42.90011265525328\n ],\n [\n -83.8751220703125,\n 42.90011265525328\n ],\n [\n -83.8751220703125,\n 41.21585377825921\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee742e4b0da30c1bfc1f3","contributors":{"authors":[{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":730726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":730727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":730728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaw, Cassidy H. 0000-0003-2639-1241","orcid":"https://orcid.org/0000-0003-2639-1241","contributorId":203239,"corporation":false,"usgs":false,"family":"Shaw","given":"Cassidy","email":"","middleInitial":"H.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":730729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeVault, David S.","contributorId":203240,"corporation":false,"usgs":false,"family":"DeVault","given":"David","email":"","middleInitial":"S.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":730730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Banda, Jo A.","contributorId":196761,"corporation":false,"usgs":false,"family":"Banda","given":"Jo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":730731,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195145,"text":"70195145 - 2018 - Sirenian life history","interactions":[],"lastModifiedDate":"2018-02-07T13:50:59","indexId":"70195145","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Sirenian life history","docAbstract":"Sirenians, including the manatees and dugongs, are large herbivorous mammals that have evolved to an aquatic form since the Eocene epoch. Sirenians have unique adaptations, including dense bone for ballast and a longitudinal hemidiaphragm separating paired lungs (which aid in maintaining a horizontal posture in the water column), species-specific rostral deflection, and unique dentition for specialized feeding, which all contribute to their success. All sirenians produce one calf per breeding cycle and have long calf-dependency periods. Low reproduction rates are common for long-lived, large mammals, but may compromise their existence in today’s quickly changing world today. All sirenian populations are listed as either threatened or endangered, and some local stocks have been completely extirpated by human activities.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of marine mammals","language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-804327-1.00230-2","usgsCitation":"Bonde, R.K., 2018, Sirenian life history, chap. of Encyclopedia of marine mammals, p. 859-861, https://doi.org/10.1016/B978-0-12-804327-1.00230-2.","productDescription":"3 p.","startPage":"859","endPage":"861","ipdsId":"IP-076440","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":351281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e73e4b00f54eb2292e8","contributors":{"authors":[{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":727154,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70195193,"text":"70195193 - 2018 - The suitability of using dissolved gases to determine groundwater discharge to high gradient streams","interactions":[],"lastModifiedDate":"2018-02-07T13:08:28","indexId":"70195193","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The suitability of using dissolved gases to determine groundwater discharge to high gradient streams","docAbstract":"Determining groundwater discharge to streams using dissolved gases is known to be useful over a wide range of streamflow rates but the suitability of dissolved gas methods to determine discharge rates in high gradient mountain streams has not been sufficiently tested, even though headwater streams are critical as ecological habitats and water resources. The aim of this study is to test the suitability of using dissolved gases to determine groundwater discharge rates to high gradient streams by field experiments in a well-characterized, high gradient mountain stream and a literature review. At a reach scale (550 m) we combined stream and groundwater radon activity measurements with an in-stream SF6 tracer test. By means of numerical modeling we determined gas exchange velocities and derived very low groundwater discharge rates (∼15% of streamflow). These groundwater discharge rates are below the uncertainty range of physical streamflow measurements and consistent with temperature, specific conductance and streamflow measured at multiple locations along the reach. At a watershed-scale (4 km), we measured CFC-12 and δ18O concentrations and determined gas exchange velocities and groundwater discharge rates with the same numerical model. The groundwater discharge rates along the 4 km stream reach were highly variable, but were consistent with the values derived in the detailed study reach. Additionally, we synthesized literature values of gas exchange velocities for different stream gradients which show an empirical relationship that will be valuable in planning future dissolved gas studies on streams with various gradients. In sum, we show that multiple dissolved gas tracers can be used to determine groundwater discharge to high gradient mountain streams from reach to watershed scales.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2017.12.022","usgsCitation":"Gleeson, T., Manning, A.H., Popp, A., Zane, M., and Clark, J.F., 2018, The suitability of using dissolved gases to determine groundwater discharge to high gradient streams: Journal of Hydrology, v. 557, p. 561-572, https://doi.org/10.1016/j.jhydrol.2017.12.022.","productDescription":"12 p.","startPage":"561","endPage":"572","ipdsId":"IP-071701","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":469056,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/82x8s2wg","text":"External Repository"},{"id":351246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.3167,\n 39.4\n ],\n [\n -120.2167,\n 39.4\n ],\n [\n -120.2167,\n 39.4667\n ],\n [\n -120.3167,\n 39.4667\n ],\n [\n -120.3167,\n 39.4\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"557","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e73e4b00f54eb2292dc","contributors":{"authors":[{"text":"Gleeson, Tom","contributorId":42694,"corporation":false,"usgs":false,"family":"Gleeson","given":"Tom","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":727373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":727372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Popp, Andrea","contributorId":202011,"corporation":false,"usgs":false,"family":"Popp","given":"Andrea","email":"","affiliations":[{"id":35133,"text":"University of Freiburg, Freiburg, Germany","active":true,"usgs":false}],"preferred":false,"id":727374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zane, Mathew","contributorId":202012,"corporation":false,"usgs":false,"family":"Zane","given":"Mathew","email":"","affiliations":[{"id":36321,"text":"Department of Geological Sciences, University of California, Santa Barbara, California","active":true,"usgs":false}],"preferred":false,"id":727375,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Jordan F.","contributorId":202013,"corporation":false,"usgs":false,"family":"Clark","given":"Jordan","email":"","middleInitial":"F.","affiliations":[{"id":36321,"text":"Department of Geological Sciences, University of California, Santa Barbara, California","active":true,"usgs":false}],"preferred":false,"id":727376,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196804,"text":"70196804 - 2018 - Moving in the Anthropocene: Global reductions in terrestrial mammalian movements","interactions":[],"lastModifiedDate":"2021-10-26T19:34:07.415887","indexId":"70196804","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Moving in the Anthropocene: Global reductions in terrestrial mammalian movements","docAbstract":"Animal movement is fundamental for ecosystem functioning and species survival, yet the effects of the anthropogenic footprint on animal movements have not been estimated across species. Using a unique GPS-tracking database of 803 individuals across 57 species, we found that movements of mammals in areas with a comparatively high human footprint were on average one-half to one-third the extent of their movements in areas with a low human footprint. We attribute this reduction to behavioral changes of individual animals and to the exclusion of species with long-range movements from areas with higher human impact. Global loss of vagility alters a key ecological trait of animals that affects not only population persistence but also ecosystem processes such as predator-prey interactions, nutrient cycling, and disease transmission.
","language":"English","publisher":"Science","doi":"10.1126/science.aam9712","usgsCitation":"Tucker, M.A., Bohning-Gaese, K., Fagan, W., Fryxell, J., Van Moorter, B., Alberts, S.C., Ali, A.H., Allen, A.M., Attias, N., Avgar, T., Bartlam-Brooks, H., Buuveibaatar, B., Belant, J.L., Bertassoni, A., Beyer, D., Bidner, L., M. van Beest, F., Blake, S., Blaum, N., Bracis, C., Brown, D., Nico de Bruyn, P.J., Cagnacci, F., Calabrese, J., Camilo-Alves, C., Chamaille-Jammes, S., Chiaradia, A., Davidson, S.C., Dennis, T., DeStefano, S., Diefenbach, D.R., Douglas-Hamilton, I., Fennessy, J., Fichtel, C., Fiedler, W., Fischer, C., Fischhoff, I., Fleming, C.H., Ford, A.T., Fritz, S.A., Gehr, B., Goheen, J.R., Gurarie, E., Hebblewhite, M., Heurich, M., Mark Hewison, A.J., Hof, C., Hurme, E., Isbell, L.A., Janssen, R., Jeltsch, F., Kaczensky, P., Kane, A., Kappeler, P.M., Kauffman, M., Kays, R., Kimuyu, D., Koch, F., Kranstauber, B., LaPoint, S., Leimgruber, P., Linnell, J., Lopez-Lopez, P., Markham, A.C., Mattisson, J., Medici, E.P., Mellone, U., Merrill, E., de Miranda Mourao, G., Morato, R.G., Morellet, N., Morrison, T.A., Diaz-Munoz, S.L., Mysterud, A., Nandintsetseg, D., Nathan, R., Niamir, A., Odden, J., O’Hara, R.B., Oliveira-Santos, L.G., Olson, K.A., Patterson, B.D., Cunha de Paula, R., Pedrotti, L., Reineking, B., Rimmler, M., Rogers, T.L., Rolandsen, C.M., Rosenberry, C.S., Rubenstein, D.I., Safi, K., Said, S., Sapir, N., Sawyer, H., Schmidt, N.M., Selva, N., Sergiel, A., Shiilegdamba, E., Silva, J.P., Singh, N., Solberg, E.J., Spiegel, O., Strand, O., Sundaresan, S., Ullmann, W., Voigt, U., Wall, J., Wattles, D.W., Wikelski, M., Wilmers, C.C., Wilson, J.W., Wittemyer, G., Zieba, F., Zwijacz-Kozica, T., and Mueller, T., 2018, Moving in the Anthropocene: Global reductions in terrestrial mammalian movements: Science, v. 359, no. 6374, p. 466-469, https://doi.org/10.1126/science.aam9712.","productDescription":"4 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12201 Sunrise Valley Drive
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Email: nmicrecordsmgt@usgs.gov
Digital flood-inundation maps for a 12.6-mile reach of the Withlacoochee River from Skipper Bridge Road to St. Augustine Road (Georgia State Route 133) were developed to depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the U.S. Geological Survey (USGS) streamgage at Withlacoochee River at Skipper Bridge Road, near Bemiss, Ga. (023177483). Real-time stage information from this streamgage can be used with these maps to estimate near real-time areas of inundation. The forecasted peak-stage information for the USGS streamgage at Withlacoochee River at Skipper Bridge Road, near Bemiss, Ga. (023177483), can be used in conjunction with the maps developed for this study to show predicted areas of flood inundation.
A one-dimensional step-backwater model was developed using the U.S. Army Corps of Engineers Hydrologic Engineer-ing Center’s River Analysis System (HEC–RAS) software for the Withlacoochee River and was used to compute flood profiles for a 12.6-mile reach of the Withlacoochee River. The hydraulic model was then used to simulate 23 water-surface profiles at 1.0-foot (ft) intervals at the Withlacoochee River near the Bemiss streamgage. The profiles ranged from the National Weather Service action stage of 10.7 ft, which is 131.0 ft above the North American Vertical Datum of 1988 (NAVD 88), to a stage of 32.7 ft, which is 153.0 ft above NAVD 88. The simulated water-surface profiles were then combined with a geographic information system digital elevation model—derived from light detection and ranging (lidar) data having a 4.0-ft horizontal resolution—to delineate the area flooded at each 1.0-ft interval of stream stage.
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U.S. Geological Survey
720 Gracern Road
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The purpose of the prediction grids for selected redox constituents—dissolved oxygen and dissolved manganese—are intended to provide an understanding of groundwater-quality conditions at the domestic and public-supply drinking water depths. The chemical quality of groundwater and the fate of many contaminants is influenced by redox processes in all aquifers, and understanding the redox conditions horizontally and vertically is critical in evaluating groundwater quality. The redox condition of groundwater—whether oxic (oxygen present) or anoxic (oxygen absent)—strongly influences the oxidation state of a chemical in groundwater. The anoxic dissolved oxygen thresholds of <0.5 milligram per liter (mg/L), <1.0 mg/L, and <2.0 mg/L were selected to apply broadly to regional groundwater-quality investigations. Although the presence of dissolved manganese in groundwater indicates strongly reducing (anoxic) groundwater conditions, it is also considered a “nuisance” constituent in drinking water, making drinking water undesirable with respect to taste, staining, or scaling. Three dissolved manganese thresholds, <50 micrograms per liter (µg/L), <150 µg/L, and <300 µg/L, were selected to create predicted probabilities of exceedances in depth zones used by domestic and public-supply water wells. The 50 µg/L event threshold represents the secondary maximum contaminant level (SMCL) benchmark for manganese (U.S. Environmental Protection Agency, 2017; California Division of Drinking Water, 2014), whereas the 300 µg/L event threshold represents the U.S. Geological Survey (USGS) health-based screening level (HBSL) benchmark, used to put measured concentrations of drinking-water contaminants into a human-health context (Toccalino and others, 2014). The 150 µg/L event threshold represents one-half the USGS HBSL. The resultant dissolved oxygen and dissolved manganese prediction grids may be of interest to water-resource managers, water-quality researchers, and groundwater modelers concerned with the occurrence of natural and anthropogenic contaminants related to anoxic conditions. Prediction grids for selected redox constituents and thresholds were created by the USGS National Water-Quality Assessment (NAWQA) modeling and mapping team.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3397","usgsCitation":"Rosecrans, C.Z., Nolan, B.T., and Gronberg, J.M., 2018, Maps showing predicted probabilities for selected dissolved oxygen and dissolved manganese threshold events in depth zones used by the domestic and public drinking water supply wells, Central Valley, California: U.S. Geological Survey Scientific Investigations Map 3397, 2 sheets, various scales, https://doi.org/10.3133/sim3397.","productDescription":"2 Sheets: 18.99 x 24.04 inches and 18.99 x 23.75 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-083513","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":350545,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7T151S1","linkHelpText":"Probability distribution grids of dissolved oxygen and dissolved manganese concentrations at selected thresholds in drinking water depth zones, Central Valley, California"},{"id":350705,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3397/sim3397_plate1_.pdf","text":"Plate 1","size":"4.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3397","linkHelpText":" - Spatial Distribution of Predicted Probabilities for Selected Dissolved Oxygen Threshold Events"},{"id":350544,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3397/coverthb_.jpg"},{"id":350706,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3397/sim3397_plate2.pdf","text":"Plate 2","size":"4.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3397","linkHelpText":" - Spatial Distribution of Predicted Probabilities for Selected Dissolved Manganese Threshold Events"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.354736328125,\n 40.17887331434696\n ],\n [\n -122.2119140625,\n 38.02213147353745\n ],\n [\n -119.46533203125,\n 34.858890491257796\n ],\n [\n -118.54248046874999,\n 34.93097858831627\n ],\n [\n -118.57543945312501,\n 35.29943548054545\n ],\n [\n -118.93798828125,\n 36.465471886798134\n ],\n [\n -119.5751953125,\n 36.94989178681327\n ],\n [\n -120.487060546875,\n 37.70120736474139\n ],\n [\n -120.92651367187499,\n 38.05674222065296\n ],\n [\n -121.11328124999999,\n 38.676933444637925\n ],\n [\n -121.47583007812501,\n 39.39375459224348\n ],\n [\n -121.53076171875,\n 39.64799732373418\n ],\n [\n -121.871337890625,\n 39.977120098439634\n ],\n [\n -122.1240234375,\n 40.212440718286466\n ],\n [\n -122.310791015625,\n 40.212440718286466\n ],\n [\n -122.354736328125,\n 40.17887331434696\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
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6000 J Street, Placer Hall
Sacramento, CA 95819
Two identical Radar Stage Sensors from Forest Technology Systems were evaluated to determine if they are suitable for U.S. Geological Survey (USGS) hydrologic data collection. The sensors were evaluated in laboratory conditions to evaluate the distance accuracy of the sensor over the manufacturer’s specified operating temperatures and distance to water ranges. Laboratory results were compared to the manufacturer’s accuracy specification of ±0.007 foot (ft) and the USGS Office of Surface Water (OSW) policy requirement that water-level sensors have a measurement uncertainty of no more than 0.01 ft or 0.20 percent of the indicated reading. Both of the sensors tested were within the OSW policy requirement in both laboratory tests and within the manufacturer’s specification in the distance to water test over tested distances from 3 to 15 ft. In the temperature chamber test, both sensors were within the manufacturer’s specification for more than 90 percent of the data points collected over a temperature range of –40 to +60 degrees Celsius at a fixed distance of 8 ft. One sensor was subjected to an SDI-12 communication test, which it passed. A field test was conducted on one sensor at a USGS field site near Landon, Mississippi, from February 5 to March 29, 2016. Water-level measurements made by the radar during the field test were in agreement with those made by the Sutron Accubar Constant Flow Bubble Gauge.
Upon the manufacturer’s release of updated firmware version 1.09, additional SDI-12 and temperature testing was performed to evaluate added SDI-12 functions and verify that performance was unaffected by the update. At this time, an Axiom data logger is required to perform a firmware update on this sensor. The data confirmed the results of the original test. Based on the test results, the Radar Stage Sensor is a suitable choice for USGS hydrologic data collection.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171085","usgsCitation":"Kunkle, G.A., 2018, Evaluation of the Radar Stage Sensor manufactured by Forest Technology Systems—Results of laboratory and field testing: U.S. Geological Survey Open-File Report 2017–1085, 12 p., https://doi.org/10.3133/ofr20171085.","productDescription":"Report: iv, 12 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-083860","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":350803,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71C1VSR","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Evaluation of the Radar Stage Sensor Manufactured by Forest Technology Systems, Incorporated—Results of Laboratory and Field Testing"},{"id":350800,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1085/ofr20171085.pdf","text":"Report","size":"918 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017–1085"},{"id":350799,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1085/coverthb.jpg"}],"contact":"Chief, Hydrologic Instrumentation Facility
U.S. Geological Survey
Building 2101
Stennis Space Center, MS 39529
In Autumn 2015, USA National Phenology Network (USA-NPN) staff implemented new U.S. Geological Survey (USGS) data-management policies intended to ensure that the results of Federally funded research are made available to the public. The effort aimed both to improve USA-NPN data releases and to provide a model for similar programs within the USGS. This report provides an overview of the steps taken to ensure compliance, following the USGS Science Data Lifecycle, and provides lessons learned about the data-release process for USGS program leaders and data managers.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181007","usgsCitation":"Rosemartin, A., Langseth, M.L., Crimmins, T.M., and Weltzin, J.F., 2018, Development and release of phenological data products—A case study in compliance with federal open data policy: U.S. Geological Survey Open-File Report 2018–1007, 13 p., https://doi.org/10.3133/ofr20181007.","productDescription":"iv, 13 p.","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-090322","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":350850,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1007/coverthb.jpg"},{"id":350851,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1007/ofr20181007.pdf","text":"Report","size":"350 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1007"}],"contact":"Ecosystems Mission Area
U.S. Geological Survey
12201 Sunrise Valley Dr., MS 300
Reston, VA 20192
The U.S. Geological Survey (USGS) maintains and operates more than 8,200 continuous streamgages nationwide. Types of data that may be collected, computed, and stored for streamgages include streamgage height (water-surface elevation), streamflow, and water quality. The streamflow data allow scientists and engineers to calculate streamflow statistics, such as the 1-percent annual exceedance probability flood (also known as the 100-year flood), the mean flow, and the 7-day, 10-year low flow, which are used by managers to make informed water resource management decisions, at each streamgage location. Researchers, regulators, and managers also commonly need physical characteristics (basin characteristics) that describe the unique properties of a basin. Common uses for streamflow statistics and basin characteristics include hydraulic design, water-supply management, water-use appropriations, and flood-plain mapping for establishing flood-insurance rates and land-use zones. The USGS periodically publishes reports that update the values of basin characteristics and streamflow statistics at selected gaged locations (locations with streamgages), but these studies usually only update a subset of streamgages, making data retrieval difficult. Additionally, streamflow statistics and basin characteristics are most often needed at ungaged locations (locations without streamgages) for which published streamflow statistics and basin characteristics do not exist.
Missouri StreamStats is a web-based geographic information system that was created by the USGS in cooperation with the Missouri Department of Natural Resources to provide users with access to an assortment of tools that are useful for water-resources planning and management. StreamStats allows users to easily obtain the most recent published streamflow statistics and basin characteristics for streamgage locations and to automatically calculate selected basin characteristics and estimate streamflow statistics at ungaged locations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183003","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Ellis, J.T., 2018, Missouri StreamStats—A water-resources web application: U.S. Geological Survey Fact Sheet 2018–3003, 6 p., https://doi.org/10.3133/fs20183003.","productDescription":"6 p.","onlineOnly":"N","ipdsId":" IP-091212","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":350829,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3003/coverthb.jpg"},{"id":350830,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3003/fs20183003.pdf","text":"Report","size":"8.50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018–3003"}],"country":"United 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\"}}]}","contact":"Director, Missouri Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
Demand for high-volume, short duration water withdrawals could create water stress to aquatic organisms in Fayetteville Shale streams sourced for hydraulic fracturing fluids. We estimated potential water stress using permitted water withdrawal volumes and actual water withdrawals compared to monthly median, low, and high streamflows. Risk for biological stress was considered at 20% of long-term median and 10% of high- and low-flow thresholds. Future well build-out projections estimated potential for continued stress. Most water was permitted from small, free-flowing streams and “frack” ponds (dammed streams). Permitted 12-h pumping volumes exceeded median streamflow at 50% of withdrawal sites in June, when flows were low. Daily water usage, from operator disclosures, compared to median streamflow showed possible water stress in 7–51% of catchments from June–November, respectively. If 100% of produced water was recycled, per-well water use declined by 25%, reducing threshold exceedance by 10%. Future water stress was predicted to occur in fewer catchments important for drinking water and species of conservation concern due to the decline in new well installations and increased use of recycled water. Accessible and precise withdrawal and streamflow data are critical moving forward to assess and mitigate water stress in streams that experience high-volume withdrawals.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.7b03304","usgsCitation":"Entrekin, S., Trainor, A., Saiers, J., Patterson, L., Maloney, K.O., Fargione, J., Kiesecker, J.M., Baruch-Mordo, S., Konschnik, K.E., Wiseman, H., Nicot, J., and Ryan, J.N., 2018, Water stress from high-volume hydraulic fracturing potentially threatens aquatic biodiversity and ecosystem services in Arkansas, United States: Environmental Science & Technology, v. 52, no. 4, p. 2349-2358, https://doi.org/10.1021/acs.est.7b03304.","productDescription":"10 p.","startPage":"2349","endPage":"2358","ipdsId":"IP-079892","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":352824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","volume":"52","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-31","publicationStatus":"PW","scienceBaseUri":"5afee744e4b0da30c1bfc211","contributors":{"authors":[{"text":"Entrekin, Sally","contributorId":147949,"corporation":false,"usgs":false,"family":"Entrekin","given":"Sally","affiliations":[{"id":16964,"text":"University of Central Arkansas","active":true,"usgs":false}],"preferred":false,"id":731854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trainor, Anne","contributorId":191831,"corporation":false,"usgs":false,"family":"Trainor","given":"Anne","affiliations":[],"preferred":false,"id":731855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saiers, James","contributorId":191832,"corporation":false,"usgs":false,"family":"Saiers","given":"James","affiliations":[],"preferred":false,"id":731856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patterson, Lauren","contributorId":203604,"corporation":false,"usgs":false,"family":"Patterson","given":"Lauren","affiliations":[],"preferred":false,"id":731857,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":731858,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fargione, Joseph","contributorId":191828,"corporation":false,"usgs":false,"family":"Fargione","given":"Joseph","affiliations":[],"preferred":false,"id":731859,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kiesecker, Joseph M.","contributorId":146679,"corporation":false,"usgs":false,"family":"Kiesecker","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":731860,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baruch-Mordo, Sharon","contributorId":191830,"corporation":false,"usgs":false,"family":"Baruch-Mordo","given":"Sharon","email":"","affiliations":[],"preferred":false,"id":731861,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Konschnik, Katherine E.","contributorId":191826,"corporation":false,"usgs":false,"family":"Konschnik","given":"Katherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":731862,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wiseman, Hannah","contributorId":191827,"corporation":false,"usgs":false,"family":"Wiseman","given":"Hannah","affiliations":[],"preferred":false,"id":731863,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nicot, Jean-Philippe","contributorId":175575,"corporation":false,"usgs":false,"family":"Nicot","given":"Jean-Philippe","email":"","affiliations":[],"preferred":false,"id":731864,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ryan, Joseph N.","contributorId":54290,"corporation":false,"usgs":false,"family":"Ryan","given":"Joseph","email":"","middleInitial":"N.","affiliations":[{"id":604,"text":"University of Colorado- Boulder","active":false,"usgs":true}],"preferred":false,"id":731865,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70194632,"text":"ofr20171158 - 2018 - Sea surface temperature estimates for the mid-Piacenzian Indian Ocean—Ocean Drilling Program sites 709, 716, 722, 754, 757, 758, and 763","interactions":[],"lastModifiedDate":"2018-01-31T10:21:02","indexId":"ofr20171158","displayToPublicDate":"2018-01-30T12:45:00","publicationYear":"2018","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":"2017-1158","title":"Sea surface temperature estimates for the mid-Piacenzian Indian Ocean—Ocean Drilling Program sites 709, 716, 722, 754, 757, 758, and 763","docAbstract":"Despite the wealth of global paleoclimate data available for the warm period in the middle of the Piacenzian Stage of the Pliocene Epoch (about 3.3 to 3.0 million years ago [Ma]; Dowsett and others, 2013, and references therein), the Indian Ocean has remained a region of sparse geographic coverage in terms of microfossil analysis. In an effort to characterize the surface Indian Ocean during this interval, we examined the planktic foraminifera from Ocean Drilling Program (ODP) sites 709, 716, 722, 754, 757, 758, and 763, encompassing a wide range of oceanographic conditions. We quantitatively analyzed the data for sea surface temperature (SST) estimation using both the modern analog technique (MAT) and a factor analytic transfer function. The data will contribute to the U.S. Geological Survey (USGS) Pliocene Research, Interpretation and Synoptic Mapping (PRISM) Project’s global SST reconstruction and climate model SST boundary condition for the mid-Piacenzian and will become part of the PRISM verification dataset designed to ground-truth Pliocene climate model simulations (Dowsett and others, 2013).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171158","usgsCitation":"Robinson, M.M., Dowsett, H.J., and Stoll, D.K., 2018, Sea surface temperature estimates for the mid-Piacenzian Indian Ocean—Ocean Drilling Program sites 709, 716, 722, 754, 757, 758, and 763: U.S. Geological Survey Open-File Report 2017–1158, 14 p., https://doi.org/10.3133/ofr20171158.","productDescription":"iv, 14 p.","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-087996","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":350488,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1158/coverthb.jpg"},{"id":350489,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1158/ofr20171158.pdf","text":"Report","size":"11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1158"}],"otherGeospatial":"Indian Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 59.80,\n -30.93\n ],\n [\n 112.21,\n -30.93\n ],\n [\n 112.21,\n 16.62\n ],\n [\n 59.80,\n 16.62\n ],\n [\n 59.80,\n -30.93\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Eastern Geology and Paleoclimate Science Center
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Feral horses are widespread in the western United States, with the majority of feral horse herds found in the Great Basin. There is a federal mandate to manage these herds in order to maintain “ecological balance”; however, understanding of the specific effects of feral horse grazing on rangeland plant communities in this region is incomplete. To address this research gap, we utilized long-term grazing exclosures and fenceline contrasts to evaluate the impacts of feral horses on several plant community variables (diversity, richness, dominance, and biomass) and species composition. Because the effects of grazing can vary with site precipitation and productivity, we selected 5 sites from 4 different rangeland types (Great Basin Desert, Colorado Plateau, Rocky Mountain grassland, and mixed grass prairie) that spanned a mean annual precipitation gradient of 229 to 413 mm. Our results did not reveal a significant effect of feral horse grazing on plant community composition, species richness, diversity, evenness, or dominance. In contrast, total aboveground herbaceous biomass and grass biomass were significantly reduced with feral horse grazing, but these effects did not vary with mean annual precipitation. Our results suggest that, at least at the sites we studied, feral horses have affected the plant community by reducing herbaceous biomass but have not caused plant community shifts. Additional multisite studies, preferably with standardized exclosures and larger sample sizes, would increase our understanding of feral horse grazing effects and inform management of feral horse herds in the western United States.
","language":"English","publisher":"BioOne","doi":"10.3398/064.077.0412","usgsCitation":"Baur, L.E., Schoenecker, K.A., and Smith, M.D., 2018, Effects of feral horse herds on plant communities across a precipitation gradient: Western North American Naturalist, v. 77, no. 4, p. 526-539, https://doi.org/10.3398/064.077.0412.","productDescription":"14 p.","startPage":"526","endPage":"539","ipdsId":"IP-081750","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":488902,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol77/iss4/11","text":"External Repository"},{"id":373555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Montana, Nevada, North Dakota, Utah","otherGeospatial":"Clan Alpine Herd Management Area, Pryor Mountain Wild Horse Range, Spring Creek Basin Herd Management Area, Sulphur Herd Management Area, Theodore Roosevelt National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.7042236328125,\n 37.86292829402713\n ],\n [\n -108.44192504882812,\n 37.86292829402713\n ],\n [\n -108.44192504882812,\n 38.039979682751806\n ],\n [\n -108.7042236328125,\n 38.039979682751806\n ],\n [\n -108.7042236328125,\n 37.86292829402713\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.6395263671875,\n 46.85831292242506\n ],\n [\n -103.26873779296875,\n 46.85831292242506\n ],\n [\n -103.26873779296875,\n 47.03082254778662\n ],\n [\n -103.6395263671875,\n 47.03082254778662\n ],\n [\n -103.6395263671875,\n 46.85831292242506\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.39523315429688,\n 45.0034084059808\n ],\n [\n -108.26614379882812,\n 45.0034084059808\n ],\n [\n -108.26614379882812,\n 45.141125276752774\n ],\n [\n -108.39523315429688,\n 45.141125276752774\n ],\n [\n -108.39523315429688,\n 45.0034084059808\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.02847290039062,\n 37.98750437106374\n ],\n [\n -113.66729736328125,\n 37.98750437106374\n ],\n [\n -113.66729736328125,\n 38.591113776147445\n ],\n [\n -114.02847290039062,\n 38.591113776147445\n ],\n [\n -114.02847290039062,\n 37.98750437106374\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.04534912109376,\n 39.4255858195144\n ],\n [\n -117.62512207031251,\n 39.4255858195144\n ],\n [\n -117.62512207031251,\n 39.86758762451019\n ],\n [\n -118.04534912109376,\n 39.86758762451019\n ],\n [\n -118.04534912109376,\n 39.4255858195144\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"77","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baur, Lauren E.","contributorId":210390,"corporation":false,"usgs":false,"family":"Baur","given":"Lauren","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":785632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X schoeneckerk@usgs.gov","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":2001,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn","email":"schoeneckerk@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":785631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Melinda D.","contributorId":223621,"corporation":false,"usgs":false,"family":"Smith","given":"Melinda","email":"","middleInitial":"D.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":785633,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194863,"text":"ds1077 - 2018 - Chirp subbottom profile data collected in 2015 from the northern Chandeleur Islands, Louisiana","interactions":[],"lastModifiedDate":"2018-02-01T11:04:02","indexId":"ds1077","displayToPublicDate":"2018-01-30T11:15:00","publicationYear":"2018","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":"1077","title":"Chirp subbottom profile data collected in 2015 from the northern Chandeleur Islands, Louisiana","docAbstract":"As part of the Barrier Island Evolution Research project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a nearshore geophysical survey around the northern Chandeleur Islands, Louisiana, in September 2015. The objective of the project is to improve the understanding of barrier island geomorphic evolution, particularly storm-related depositional and erosional processes that shape the islands over annual to interannual time scales (1–5 years). Collecting geophysical data can help researchers identify relations between the geologic history of the islands and their present day morphology and sediment distribution. High-resolution geophysical data collected along this rapidly changing barrier island system can provide a unique time-series dataset to further the analyses and geomorphological interpretations of this and other coastal systems, improving our understanding of coastal response and evolution over medium-term time scales (months to years). Subbottom profile data were collected in September 2015 offshore of the northern Chandeleur Islands, during USGS Field Activity Number 2015-331-FA. Data products, including raw digital chirp subbottom data, processed subbottom profile images, survey trackline map, navigation files, geographic information system data files and formal Federal Geographic Data Committee metadata, and Field Activity Collection System and operation logs are available for download.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1077","usgsCitation":"Forde, A.S., DeWitt, N.T., Fredericks, J.J., and Miselis, J.L., 2018, Chirp subbottom profile data collected in 2015 from the northern Chandeleur Islands, Louisiana: U.S. Geological Survey Data Series 1077, https://doi.org/10.3133/ds1077.\n\n","productDescription":"HMTL Report; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-091492","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":438048,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U1WJXM","text":"USGS data release","linkHelpText":"Archive of Chirp Subbottom Profile Data Collected in 2018 From the Northern Chandeleur Islands, Louisiana"},{"id":438047,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E8VRGO","text":"USGS data release","linkHelpText":"Archive of Chirp Subbottom Profile Data Collected in 2017 From the Northern Chandeleur Islands, Louisiana"},{"id":438046,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NFK0K4","text":"USGS data release","linkHelpText":"Archive of Chirp Subbottom Profile Data Collected in 2016 From the Northern Chandeleur Islands, Louisiana"},{"id":350561,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1077/coverthb.jpg"},{"id":350562,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1077/index.html","text":"Report HTML","linkFileType":{"id":5,"text":"html"},"description":"DS 1077"},{"id":350842,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7668C5C","text":"USGS data release","description":"USGS data release","linkHelpText":"Archive of Chirp Subbottom Profile Data Collected in 2015 From the Northern Chandeleur Islands, Louisiana"}],"country":"United States","state":"Louisiana","otherGeospatial":"Northern Chandeleur Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.8167,\n 30.075\n ],\n [\n -88.8833,\n 30.075\n ],\n [\n -88.8833,\n 30.0167\n ],\n [\n -88.8167,\n 30.0167\n ],\n [\n -88.8167,\n 30.075\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701
We analyzed light detection and ranging (lidar) data and aerial photography to locate active faults near the south coast of Puerto Rico and excavated paleoseismic trenches across the Salinas fault and the Great Southern Puerto Rico fault zone (GSPRFZ). We document evidence for two Holocene surface‐rupturing earthquakes along both faults. Two earthquakes on the Salinas fault occurred after the deposition of sediments that are 7400–10,400 yrs old. No quantitative ages constrain the timing of the two earthquakes on the southeast GSPRFZ, but we interpret both events to have occurred during the Holocene or latest Pleistocene, based on the similarities in the characteristics of the faulted sediment and the development of soils exposed in both trenches. Stratigraphic and geomorphic evidence suggests components of both vertical and lateral slip on both faults. These results show that onshore active faults in Puerto Rico are more common than previously recognized and highlight the need for additional study to search for Holocene active faults and for an updated seismic hazard analysis for the island.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170182","usgsCitation":"Piety, L., Redwine, J.R., Derouin, S., Prentice, C.S., Kelson, K.I., Klinger, R.E., and Mahan, S.A., 2018, Holocene surface ruptures on the Salinas Fault and southeastern Great Southern Puerto Rico Fault Zone, South Coastal Plain of Puerto Rico: Bulletin of the Seismological Society of America, v. 108, no. 2, p. 619-638, https://doi.org/10.1785/0120170182.","productDescription":"20 p.","startPage":"619","endPage":"638","ipdsId":"IP-086932","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":482038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.46005793365855,\n 18.59919601130781\n ],\n [\n -67.46005793365855,\n 17.690536136611925\n ],\n [\n -65.53344705478513,\n 17.690536136611925\n ],\n [\n -65.53344705478513,\n 18.59919601130781\n ],\n [\n -67.46005793365855,\n 18.59919601130781\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"108","issue":"2","noUsgsAuthors":false,"publicationDate":"2018-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Piety, Lucille 0000-0003-0525-0132","orcid":"https://orcid.org/0000-0003-0525-0132","contributorId":350919,"corporation":false,"usgs":false,"family":"Piety","given":"Lucille","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":927311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Redwine, Joanna R.","contributorId":130966,"corporation":false,"usgs":false,"family":"Redwine","given":"Joanna","email":"","middleInitial":"R.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":927312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Derouin, Sarah 0000-0002-0414-1682","orcid":"https://orcid.org/0000-0002-0414-1682","contributorId":350922,"corporation":false,"usgs":false,"family":"Derouin","given":"Sarah","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":927313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prentice, Carol S. 0000-0003-3732-3551 cprentice@usgs.gov","orcid":"https://orcid.org/0000-0003-3732-3551","contributorId":2676,"corporation":false,"usgs":true,"family":"Prentice","given":"Carol","email":"cprentice@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelson, Keith I.","contributorId":192585,"corporation":false,"usgs":false,"family":"Kelson","given":"Keith","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":927315,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klinger, Ralph E.","contributorId":172929,"corporation":false,"usgs":false,"family":"Klinger","given":"Ralph","email":"","middleInitial":"E.","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":927316,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":927317,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70217598,"text":"70217598 - 2018 - Geomorphic response of the Muddy River Basin to the 1980 eruptions of Mount St. Helens, 1980–2000","interactions":[],"lastModifiedDate":"2021-01-22T15:32:52.320112","indexId":"70217598","displayToPublicDate":"2018-01-30T09:24:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geomorphic response of the Muddy River Basin to the 1980 eruptions of Mount St. Helens, 1980–2000","docAbstract":"The 18 May 1980 eruption of Mount St. Helens produced a mosaic of primary landscape disturbances that decreased in intensity with distance from the volcano across the headwaters of Muddy River and its tributaries. Subsequent geomorphic responses were influenced by evolving hillslope and channel conditions that affected fluxes of water, sediment, and wood, as well as by an exceptional storm in February 1996. Sediment fluxes have generally decreased, but downed wood in channels remains episodically mobile. Geomorphic change and biotic activity in the basin continue to interact in terrestrial, riparian, and aquatic ecosystems and in many cases diversify ecosystem conditions.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecological responses at Mount St. Helens: Revisited 35 years after the 1980 eruption","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-1-4939-7451-1_3","usgsCitation":"Lisle, T.E., Major, J.J., and Hardison, J.H., 2018, Geomorphic response of the Muddy River Basin to the 1980 eruptions of Mount St. Helens, 1980–2000, chap. of Ecological responses at Mount St. Helens: Revisited 35 years after the 1980 eruption, p. 45-70, https://doi.org/10.1007/978-1-4939-7451-1_3.","productDescription":"26 p.","startPage":"45","endPage":"70","ipdsId":"IP-053962","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true}],"links":[{"id":382495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Muddy River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.1954345703125,\n 46.074659663982324\n ],\n [\n -121.95785522460936,\n 46.074659663982324\n ],\n [\n -121.95785522460936,\n 46.18125668339498\n ],\n [\n -122.1954345703125,\n 46.18125668339498\n ],\n [\n -122.1954345703125,\n 46.074659663982324\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2018-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Lisle, Thomas E.","contributorId":124570,"corporation":false,"usgs":false,"family":"Lisle","given":"Thomas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":808790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":808791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hardison, J. H. III","contributorId":49543,"corporation":false,"usgs":true,"family":"Hardison","given":"J.","suffix":"III","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":808792,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70254967,"text":"70254967 - 2018 - Hydrologic regime changes in a high-latitude glacierized watershed under future climate conditions","interactions":[],"lastModifiedDate":"2024-06-11T13:31:03.727537","indexId":"70254967","displayToPublicDate":"2018-01-30T08:23:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic regime changes in a high-latitude glacierized watershed under future climate conditions","docAbstract":"A calibrated conceptual glacio-hydrological monthly water balance model (MWBMglacier) was used to evaluate future changes in water partitioning in a high-latitude glacierized watershed in Southcentral Alaska under future climate conditions. The MWBMglacier was previously calibrated and evaluated against streamflow measurements, literature values of glacier mass balance change, and satellite-based observations of snow covered area, evapotranspiration, and total water storage. Output from five global climate models representing two future climate scenarios (RCP 4.5 and RCP 8.5) was used with the previously calibrated parameters to drive the MWBMglacier at 2 km spatial resolution. Relative to the historical period 1949–2009, precipitation will increase and air temperature in the mountains will be above freezing for an additional two months per year by mid-century which significantly impacts snow/rain partitioning and the generation of meltwater from snow and glaciers. Analysis of the period 1949–2099 reveals that numerous hydrologic regime shifts already occurred or are projected to occur in the study area including glacier accumulation area, snow covered area, and forest vulnerability. By the end of the century, Copper River discharge is projected to increase by 48%, driven by 21% more precipitation and 53% more glacial melt water (RCP 8.5) relative to the historical period (1949–2009).
","language":"English","publisher":"MDPI","doi":"10.3390/w10020128","usgsCitation":"Valentin, M., Hogue, T.S., and Hay, L., 2018, Hydrologic regime changes in a high-latitude glacierized watershed under future climate conditions: Water, v. 10, no. 2, 128, 24 p., https://doi.org/10.3390/w10020128.","productDescription":"128, 24 p.","ipdsId":"IP-088012","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":469085,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w10020128","text":"Publisher Index Page"},{"id":429864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Copper River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -148,\n 63.4\n ],\n [\n -148,\n 60.5\n ],\n [\n -140,\n 60.5\n ],\n [\n -140,\n 63.4\n ],\n [\n -148,\n 63.4\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","issue":"2","noUsgsAuthors":false,"publicationDate":"2018-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Valentin, Melissa","contributorId":202218,"corporation":false,"usgs":false,"family":"Valentin","given":"Melissa","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":902997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hogue, Terri S.","contributorId":205175,"corporation":false,"usgs":false,"family":"Hogue","given":"Terri","email":"","middleInitial":"S.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":902998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hay, Lauren 0000-0003-3763-4595","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":205020,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":902999,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194834,"text":"ofr20181001 - 2018 - Updated procedures for using drill cores and cuttings at the Lithologic Core Storage Library, Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2018-01-31T10:26:59","indexId":"ofr20181001","displayToPublicDate":"2018-01-30T00:00:00","publicationYear":"2018","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":"2018-1001","title":"Updated procedures for using drill cores and cuttings at the Lithologic Core Storage Library, Idaho National Laboratory, Idaho","docAbstract":"In 1990, the U.S. Geological Survey, in cooperation with the U.S. Department of Energy Idaho Operations Office, established the Lithologic Core Storage Library at the Idaho National Laboratory (INL). The facility was established to consolidate, catalog, and permanently store nonradioactive drill cores and cuttings from subsurface investigations conducted at the INL, and to provide a location for researchers to examine, sample, and test these materials.
The facility is open by appointment to researchers for examination, sampling, and testing of cores and cuttings. This report describes the facility and cores and cuttings stored at the facility. Descriptions of cores and cuttings include the corehole names, corehole locations, and depth intervals available.
Most cores and cuttings stored at the facility were drilled at or near the INL, on the eastern Snake River Plain; however, two cores drilled on the western Snake River Plain are stored for comparative studies. Basalt, rhyolite, sedimentary interbeds, and surficial sediments compose most cores and cuttings, most of which are continuous from land surface to their total depth. The deepest continuously drilled core stored at the facility was drilled to 5,000 feet below land surface. This report describes procedures and researchers' responsibilities for access to the facility and for examination, sampling, and return of materials.
","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181001","collaboration":"DOE/ID-22244Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
Climate-sensitive Arctic lakes have been identified as conduits for ancient permafrost-carbon (C) emissions and as such accelerate warming. However, the environmental factors that control emission pathways and their sources are unclear; this complicates upscaling, forecasting and climate-impact-assessment efforts. Here we show that current whole-lake CH4 and CO2 emissions from widespread lakes in Arctic Alaska primarily originate from organic matter fixed within the past 3–4 millennia (modern to 3,300 ± 70 years before the present), and not from Pleistocene permafrost C. Furthermore, almost 100% of the annual diffusive C flux is emitted as CO2. Although the lakes mostly processed younger C (89 ± 3% of total C emissions), minor contributions from ancient C sources were two times greater in fine-textured versus coarse-textured Pleistocene sediments, which emphasizes the importance of the underlying geological substrate in current and future emissions. This spatially extensive survey considered the environmental and temporal variability necessary to monitor and forecast the fate of ancient permafrost C as Arctic warming progresses.
","language":"English","publisher":"Nature","doi":"10.1038/s41558-017-0066-9","usgsCitation":"Elder, C.D., Xu, X., Walker, J., Schnell, J.L., Hinkel, K.M., Townsend-Small, A., Arp, C.D., Pohlman, J.W., Gaglioti, B., and Czimzik, C.I., 2018, Greenhouse gas emissions from diverse Arctic Alaskan lakes are dominated by young carbon: Nature Climate Change, v. 8, p. 166-171, https://doi.org/10.1038/s41558-017-0066-9.","productDescription":"6 p.","startPage":"166","endPage":"171","ipdsId":"IP-088994","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469086,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/9q0086pg","text":"External Repository"},{"id":350887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"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 -158,\n 68.5\n ],\n [\n -149,\n 68.5\n ],\n [\n -149,\n 71.5\n ],\n [\n -158,\n 71.5\n ],\n [\n -158,\n 68.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-29","publicationStatus":"PW","scienceBaseUri":"5a743584e4b0a9a2e9e25ca0","contributors":{"authors":[{"text":"Elder, Clayton D.","contributorId":201542,"corporation":false,"usgs":false,"family":"Elder","given":"Clayton","email":"","middleInitial":"D.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":726347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xu, Xiaomei","contributorId":32055,"corporation":false,"usgs":true,"family":"Xu","given":"Xiaomei","affiliations":[],"preferred":false,"id":726348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Jennifer","contributorId":201558,"corporation":false,"usgs":false,"family":"Walker","given":"Jennifer","affiliations":[],"preferred":false,"id":726349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schnell, Jordan L.","contributorId":201543,"corporation":false,"usgs":false,"family":"Schnell","given":"Jordan","email":"","middleInitial":"L.","affiliations":[{"id":36194,"text":"Department of Earth System Science, University of California, Irvine, CA, 92697, USA.","active":true,"usgs":false}],"preferred":false,"id":726350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hinkel, Kenneth M.","contributorId":15405,"corporation":false,"usgs":true,"family":"Hinkel","given":"Kenneth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":726351,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Townsend-Small, Amy","contributorId":201545,"corporation":false,"usgs":false,"family":"Townsend-Small","given":"Amy","email":"","affiliations":[{"id":36196,"text":"Department of Geology, University of Cincinnati, OH, 45221, USA.","active":true,"usgs":false}],"preferred":false,"id":726352,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":726353,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pohlman, John W. 0000-0002-3563-4586 jpohlman@usgs.gov","orcid":"https://orcid.org/0000-0002-3563-4586","contributorId":145771,"corporation":false,"usgs":true,"family":"Pohlman","given":"John","email":"jpohlman@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":726346,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gaglioti, Benjamin V.","contributorId":193129,"corporation":false,"usgs":false,"family":"Gaglioti","given":"Benjamin V.","affiliations":[],"preferred":false,"id":726354,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Czimzik, Claudia I.","contributorId":199102,"corporation":false,"usgs":false,"family":"Czimzik","given":"Claudia","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":726355,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70194835,"text":"ofr20181002 - 2018 - Using a food web model to inform the design of river restoration—An example at the Barkley Bear Segment, Methow River, north-central Washington","interactions":[],"lastModifiedDate":"2018-06-06T14:13:05","indexId":"ofr20181002","displayToPublicDate":"2018-01-29T00:00:00","publicationYear":"2018","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":"2018-1002","title":"Using a food web model to inform the design of river restoration—An example at the Barkley Bear Segment, Methow River, north-central Washington","docAbstract":"With the decline of Chinook salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss), habitat restoration actions in freshwater tributaries have been implemented to improve conditions for juveniles. Typically, physical (for example, hydrologic and engineering) based models are used to design restoration alternatives with the assumption that biological responses will be improved with changes to the physical habitat. Biological models rarely are used. Here, we describe simulations of a food web model, the Aquatic Trophic Productivity (ATP) model, to aid in the design of a restoration project in the Methow River, north-central Washington. The ATP model mechanistically links environmental conditions of the stream to the dynamics of river food webs, and can be used to simulate how alternative river restoration designs influence the potential for river reaches to sustain fish production. Four restoration design alternatives were identified that encompassed varying levels of side channel and floodplain reconnection and large wood addition. Our model simulations suggest that design alternatives focused on reconnecting side channels and the adjacent floodplain may provide the greatest increase in fish capacity. These results were robust to a range of discharge and thermal regimes that naturally occur in the Methow River. Our results suggest that biological models, such as the ATP model, can be used during the restoration planning phase to increase the effectiveness of restoration actions. Moreover, the use of multiple modeling efforts, both physical and biological, when evaluating restoration design alternatives provides a better understanding of the potential outcome of restoration actions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181002","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Benjamin, J.R., Bellmore, J.R., and Dombroski, Daniel, 2018, Using a food web model to inform the design of river restoration—An example at the Barkley Bear Segment, Methow River, north-central Washington: U.S. Geological Survey Open-File Report 2018–1002, 24 p., https://doi.org/10.3133/ofr20181002.","productDescription":"iv, 24 p.","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-092102","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":350751,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1002/ofr20181002.pdf","text":"Report","size":"4.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1002"},{"id":350750,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1002/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Methow River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.497802734375,\n 47.646886969413\n ],\n [\n -119.02587890624999,\n 47.646886969413\n ],\n [\n -119.02587890624999,\n 49.15296965617042\n ],\n [\n -121.497802734375,\n 49.15296965617042\n ],\n [\n -121.497802734375,\n 47.646886969413\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th St., Suite 400
Corvallis, Oregon 97330
Beginning roughly 2.6 million years ago, global climate entered a cooling phase known as the Pleistocene Epoch. As snow in northern latitudes compacted into ice several kilometers thick, it flowed as glaciers southward across the North American continent. These glaciers extended across the northern United States, dramatically altering the landscape they covered. East of the Rocky Mountains, the ice coalesced into continental glaciers (called the Laurentide Ice Sheet) that at times blanketed much of the north-central and northeastern United States. To the west of the Laurentide Ice Sheet, glaciers formed in the mountains of western Canada and the United States and coalesced into the Cordilleran ice sheet; this relatively smaller ice mass extended into the conterminous United States in the northernmost areas of western Montana, Idaho, and Washington. Throughout the Pleistocene, landscape alteration occurred by (1) glacial erosion of the rocks and sediments; (2) redeposition of the eroded earth materials in a form substantially different from their source rocks, in terms of texture and overall character; and (3) disruption of preexisting drainage patterns by the newly deposited sediments. In many cases, pre-glacial drainage systems (including, for example, the Mississippi River) were rerouted because their older drainage courses became blocked with glacial sediment.
The continental glaciers advanced and retreated many times across those areas. During each ice advance, or glaciation, erosion and deposition occurred, and the landscape was again altered. Through successive glaciations, the landscape and the bedrock surface gradually came to resemble their present configurations. As continental ice sheets receded and the Pleistocene ended, erosion and deposition of sediment (for example in stream valleys) continued to shape the landscape up to the present day (albeit to a lesser extent than during glaciation). The interval of time since the last recession of the glaciers is called the Holocene and, together with the Pleistocene, constitutes the Quaternary Period of geologic time; this publication characterizes the three-dimensional geometry of the Quaternary sediments and the bedrock surface that lies beneath.
The pre-glacial landscape was underlain mostly by weathered bedrock generally similar in nature to that found in many areas of the non-glaciated United States. Glacial erosion and redeposition of earth materials produced a young, mineral-rich soil that formed the basis for the highly productive agricultural economy in the U.S. midcontinent. Extensive buried sands and gravels within the glacial deposits also provided a stimulus to other economic sectors by serving as high-quality aquifers supplying groundwater to the region’s industry and cities. An understanding of the three-dimensional distribution of these glacial sediments has direct utility for addressing various societal issues including groundwater quality and supply, and landscape and soil response to earthquake-induced shaking.
The Quaternary sediment thickness map and bedrock topographic map shown here provide a regional overview and are intended to supplement the more detailed work on which they are based. Detailed mapping is particularly useful in populated areas for site-specific planning. In contrast, regional maps such as these serve to place local, detailed mapping in context; to permit the extrapolation of data into unmapped areas; and to depict large-scale regional geologic features and patterns that are beyond the scope of local, detailed mapping. They also can enhance the reader’s general understanding of the region’s landscape and geologic history and provide a source of information for regional decision making that could benefit by improved predictability of bedrock depth beneath the unconsolidated Quaternary sediments. To enable these maps to be analyzed in conjunction with other types of information, this publication also includes the map data in GIS compatible format.
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\"}}]}","contact":"National Cooperative Geologic Mapping Program
U.S. Geological Survey
12201 Sunrise Valley Drive Mail Stop 908
Reston, VA 20192
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The Jan Mayen Microcontinent encompasses a rectangular, mostly submarine fragment of continental crust that lies north of Iceland in the middle of the North Atlantic Ocean. These continental rocks were rifted away from the eastern margin of Greenland as a consequence of a westward jump of spreading centers from the now-extinct Aegir Ridge to the currently active Kolbeinsey Ridge in the Oligocene and early Miocene. The microcontinent is composed of the high-standing Jan Mayen Ridge and a series of smaller ridges that diminish southward in elevation and includes several deep basins that are underlain by strongly attenuated continental crust. The geology of this area is known principally from a loose collection of seismic reflection and refraction lines and several deep-sea scientific drill cores.
The Jan Mayen Microcontinent petroleum province encompasses the entire area of the microcontinent and was defined as a single assessment unit (AU). Although its geology is poorly known, the microcontinent is thought to consist of late Paleozoic and Mesozoic rift basin stratigraphic sequences similar to those of the highly prospective Norwegian, North Sea, and Greenland continental margins. The prospectivity of the AU may be greatly diminished, however, by pervasive extensional deformation, basaltic magmatism, and exhumation that accompanied two periods of continental rifting and breakup in the Paleogene and early Neogene. The overall probability of at least one petroleum accumulation of >50 million barrels of oil equivalent was judged to be 5.6 percent. As a consequence of the low level of probability, a quantitative assessment of this AU was not conducted.
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