Karst aquifers are productive groundwater systems, supplying approximately 25 % of the world’s drinking water. Sustainable use of this critical water supply requires information about rates of recharge to karst aquifers. The overall goal of this project is to collect long-term, high-resolution hydrologic and geochemical datasets at James Cave, Virginia, to evaluate the quantity and quality of recharge to the karst system. To achieve this goal, the cave has been instrumented for continuous (10-min interval) measurement of the (1) temperature and rate of precipitation; (2) temperature, specific conductance, and rate of epikarst dripwater; (3) temperature of the cave air; and (4) temperature, conductivity, and discharge of the cave stream. Instrumentation has also been installed to collect both composite and grab samples of precipitation, soil water, the cave stream, and dripwater for geochemical analysis. This chapter provides detailed information about the instrumentation, data processing, and data management; shows examples of collected datasets; and discusses recommendations for other researchers interested in hydrologic and geochemical monitoring of cave systems. Results from the research, briefly described here and discussed in more detail in other publications, document a strong seasonality of the start of the recharge season, the extent of the recharge season, and the geochemistry of recharge.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in watershed science and assessment","language":"English","publisher":"Springer International Publishing","doi":"10.1007/978-3-319-14212-8_8","usgsCitation":"Schreiber, M.E., Schwartz, B.F., Orndorff, W., Doctor, D.H., Eagle, S.D., and Gerst, J.D., 2015, Instrumenting caves to collect hydrologic and geochemical data: case study from James Cave, Virginia, chap. of Advances in watershed science and assessment, p. 205-231, https://doi.org/10.1007/978-3-319-14212-8_8.","productDescription":"27 p. ","startPage":"205","endPage":"231","ipdsId":"IP-060443","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":328273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312537,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/chapter/10.1007/978-3-319-14212-8_8"}],"country":"United States","state":"Virginia","otherGeospatial":"James Cave","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.73715209960938,\n 37.205175356202666\n ],\n [\n -80.47210693359375,\n 37.28388730761434\n ],\n [\n -80.36224365234375,\n 37.113240886048715\n ],\n [\n -80.69869995117188,\n 37.05298514989097\n ],\n [\n -80.73715209960938,\n 37.205175356202666\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-24","publicationStatus":"PW","scienceBaseUri":"57cfe8b7e4b04836416a0dca","contributors":{"authors":[{"text":"Schreiber, Madeline E.","contributorId":138959,"corporation":false,"usgs":false,"family":"Schreiber","given":"Madeline","email":"","middleInitial":"E.","affiliations":[{"id":12594,"text":"Department of Geosciences, Virginia Tech, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":582906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwartz, Benjamin F.","contributorId":150744,"corporation":false,"usgs":false,"family":"Schwartz","given":"Benjamin","email":"","middleInitial":"F.","affiliations":[{"id":18087,"text":"Texas State University, San Marcos","active":true,"usgs":false}],"preferred":false,"id":582907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orndorff, William","contributorId":150745,"corporation":false,"usgs":false,"family":"Orndorff","given":"William","email":"","affiliations":[{"id":18088,"text":"Virginia Dept. of Conservation and Recreation","active":true,"usgs":false}],"preferred":false,"id":582908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":582905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eagle, Sarah D.","contributorId":150746,"corporation":false,"usgs":false,"family":"Eagle","given":"Sarah","email":"","middleInitial":"D.","affiliations":[{"id":18089,"text":"Virginia Tech, Dept. of Geosciences","active":true,"usgs":false}],"preferred":false,"id":582909,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gerst, Jonathan D.","contributorId":150747,"corporation":false,"usgs":false,"family":"Gerst","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[{"id":18089,"text":"Virginia Tech, Dept. of Geosciences","active":true,"usgs":false}],"preferred":false,"id":582910,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70141794,"text":"70141794 - 2015 - Large-scale dam removal on the Elwha River, Washington, USA: source-to-sink sediment budget and synthesis","interactions":[],"lastModifiedDate":"2020-09-01T14:29:19.223252","indexId":"70141794","displayToPublicDate":"2015-01-23T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale dam removal on the Elwha River, Washington, USA: source-to-sink sediment budget and synthesis","docAbstract":"Understanding landscape responses to sediment supply changes constitutes a fundamental part of many problems in geomorphology, but opportunities to study such processes at field scales are rare. The phased removal of two large dams on the Elwha River, Washington, exposed 21 ± 3 million m3, or ~ 30 million tonnes (t), of sediment that had been deposited in the two former reservoirs, allowing a comprehensive investigation of watershed and coastal responses to a substantial increase in sediment supply. Here we provide a source-to-sink sediment budget of this sediment release during the first two years of the project (September 2011–September 2013) and synthesize the geomorphic changes that occurred to downstream fluvial and coastal landforms. Owing to the phased removal of each dam, the release of sediment to the river was a function of the amount of dam structure removed, the progradation of reservoir delta sediments, exposure of more cohesive lakebed sediment, and the hydrologic conditions of the river. The greatest downstream geomorphic effects were observed after water bodies of both reservoirs were fully drained and fine (silt and clay) and coarse (sand and gravel) sediments were spilling past the former dam sites. After both dams were spilling fine and coarse sediments, river suspended-sediment concentrations were commonly several thousand mg/L with ~ 50% sand during moderate and high river flow. At the same time, a sand and gravel sediment wave dispersed down the river channel, filling channel pools and floodplain channels, aggrading much of the river channel by ~ 1 m, reducing river channel sediment grain sizes by ~ 16-fold, and depositing ~ 2.2 million m3 of sand and gravel on the seafloor offshore of the river mouth. The total sediment budget during the first two years revealed that the vast majority (~ 90%) of the sediment released from the former reservoirs to the river passed through the fluvial system and was discharged to the coastal waters, where slightly less than half of the sediment was deposited in the river-mouth delta. Although most of the measured fluvial and coastal deposition was sand-sized and coarser (> 0.063 mm), significant mud deposition was observed in and around the mainstem river channel and on the seafloor. Woody debris, ranging from millimeter-size particles to old-growth trees and stumps, was also introduced to fluvial and coastal landforms during the dam removals. At the end of our two-year study, Elwha Dam was completely removed, Glines Canyon Dam had been 75% removed (full removal was completed 2014), and ~ 65% of the combined reservoir sediment masses—including ~ 8 Mt of fine-grained and ~ 12 Mt of coarse-grained sediment—remained within the former reservoirs. Reservoir sediment will continue to be released to the Elwha River following our two-year study owing to a ~ 16 m base level drop during the final removal of Glines Canyon Dam and to erosion from floods with larger magnitudes than occurred during our study. Comparisons with a geomorphic synthesis of small dam removals suggest that the rate of sediment erosion as a percent of storage was greater in the Elwha River during the first two years of the project than in the other systems. Comparisons with other Pacific Northwest dam removals suggest that these steep, high-energy rivers have enough stream power to export volumes of sediment deposited over several decades in only months to a few years. These results should assist with predicting and characterizing landscape responses to future dam removals and other perturbations to fluvial and coastal sediment budgets.
","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.geomorph.2015.01.010","usgsCitation":"Warrick, J., Bountry, J.A., East, A., Magirl, C.S., Randle, T.J., Gelfenbaum, G.R., Ritchie, A.C., Pess, G.R., Leung, V., and Duda, J., 2015, Large-scale dam removal on the Elwha River, Washington, USA: source-to-sink sediment budget and synthesis: Geomorphology, v. 246, no. 1, p. 729-750, https://doi.org/10.1016/j.geomorph.2015.01.010.","productDescription":"22 p.","startPage":"729","endPage":"750","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059114","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":298085,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":541097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bountry, Jennifer A.","contributorId":30114,"corporation":false,"usgs":false,"family":"Bountry","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":541098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"East, Amy E. aeast@usgs.gov","contributorId":2472,"corporation":false,"usgs":true,"family":"East","given":"Amy E.","email":"aeast@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":541099,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 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R.","contributorId":13501,"corporation":false,"usgs":false,"family":"Pess","given":"George","email":"","middleInitial":"R.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":541104,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Leung, Vivian","contributorId":139406,"corporation":false,"usgs":false,"family":"Leung","given":"Vivian","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":541105,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Duda, Jeff J. jduda@usgs.gov","contributorId":139318,"corporation":false,"usgs":true,"family":"Duda","given":"Jeff J.","email":"jduda@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":541106,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70138809,"text":"70138809 - 2015 - Growth rates and variances of unexploited wolf populations in dynamic equilibria","interactions":[],"lastModifiedDate":"2018-01-04T11:30:56","indexId":"70138809","displayToPublicDate":"2015-01-22T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Growth rates and variances of unexploited wolf populations in dynamic equilibria","docAbstract":"Several states have begun harvesting gray wolves (Canis lupus), and these states and various European countries are closely monitoring their wolf populations. To provide appropriate perspective for determining unusual or extreme fluctuations in their managed wolf populations, we analyzed natural, long-term, wolf-population-density trajectories totaling 130 years of data from 3 areas: Isle Royale National Park in Lake Superior, Michigan, USA; the east-central Superior National Forest in northeastern Minnesota, USA; and Denali National Park, Alaska, USA. Ratios between minimum and maximum annual sizes for 2 mainland populations (n = 28 and 46 yr) varied from 2.5–2.8, whereas for Isle Royale (n = 56 yr), the ratio was 6.3. The interquartile range (25th percentile, 75th percentile) for annual growth rates, Nt+1/Nt, was (0.88, 1.14), (0.92, 1.11), and (0.86, 1.12) for Denali, Superior National Forest, and Isle Royale respectively. We fit a density-independent model and a Ricker model to each time series, and in both cases we considered the potential for observation error. Mean growth rates from the density-independent model were close to 0 for all 3 populations, with 95% credible intervals including 0. We view the estimated model parameters, including those describing annual variability or process variance, as providing useful summaries of the trajectories of these populations. The estimates of these natural wolf population parameters can serve as benchmarks for comparison with those of recovering wolf populations. Because our study populations were all from circumscribed areas, fluctuations in them represent fluctuations in densities (i.e., changes in numbers are not confounded by changes in occupied area as would be the case with populations expanding their range, as are wolf populations in many states).
","language":"English","publisher":"Wildlife Society Bulletin","doi":"10.1002/wsb.511","usgsCitation":"Mech, L.D., and Fieberg, J., 2015, Growth rates and variances of unexploited wolf populations in dynamic equilibria: Wildlife Society Bulletin, v. 39, no. 1, p. 41-48, https://doi.org/10.1002/wsb.511.","productDescription":"8 p.","startPage":"41","endPage":"48","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056273","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":499924,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/d85d63d4c7d448c2bb1d5681d53a1c7b","text":"External Repository"},{"id":297459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, Michigan, Minnesota","otherGeospatial":"Denali National Park, Isle Royale National Park, Superior National Forest","volume":"39","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-08","publicationStatus":"PW","scienceBaseUri":"54dd2a85e4b08de9379b30c4","contributors":{"authors":[{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":538906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fieberg, John","contributorId":44804,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","affiliations":[{"id":7201,"text":"University of Minnesota-St. Paul","active":true,"usgs":false}],"preferred":false,"id":538907,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70058101,"text":"cir1354 - 2015 - The quality of our nation's waters: water quality in the Principal Aquifers of the Piedmont, Blue Ridge, and Valley and Ridge regions, eastern United States, 1993-2009","interactions":[],"lastModifiedDate":"2015-01-21T11:24:22","indexId":"cir1354","displayToPublicDate":"2015-01-21T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1354","title":"The quality of our nation's waters: water quality in the Principal Aquifers of the Piedmont, Blue Ridge, and Valley and Ridge regions, eastern United States, 1993-2009","docAbstract":"The aquifers of the Piedmont, Blue Ridge, and Valley and Ridge regions underlie an area with a population of more than 40 million people in 10 states. The suburban and rural population is large, growing rapidly, and increasingly dependent on groundwater as a source of supply, with more than 550 million gallons per day withdrawn from domestic wells for household use. Water from some of these aquifers does not meet human-health benchmarks for drinking water for contaminants with geologic or human sources. Water from samples in crystalline- and siliciclastic-rock aquifers frequently exceeded standards for contaminants with geologic sources, and samples in carbonate-rock aquifers frequently exceeded standards for contaminants with human sources, most often nitrate and bacteria.
\nThe hydrogeology of the valley-fill aquifer system and surrounding watershed areas was investigated within a 23-mile long, fault-controlled valley in eastern Orange County, New York. Glacial deposits form a divide within the valley that is drained to the north by Woodbury Creek and is drained to the south by the Ramapo River. Surficial geology, extent and saturated thickness of sand and gravel aquifers, extent of confining units, bedrock-surface elevation beneath valleys, major lineaments, and the locations of wells for which records are available were delineated on an interactive map.
\nCurrently (2013), groundwater is the primary source of water supply in the study area. Several public water-supply systems withdraw groundwater from production wells in valley areas; elsewhere, domestic wells are used for water supply. Community-supply wells tap both sand and gravel and fractured bedrock aquifers; most domestic wells tap fractured-bedrock aquifers.
\nThick, saturated sand and gravel deposits are limited in areal extent but form several localized, productive aquifer zones within the valley-fill sediments. Hydraulic interconnection among these zones is largely untested. Fine-grained lacustrine deposits form extensive confining units above some aquifer material. Till deposits that extend into valleys also confine sand and gravel or bedrock aquifers. The study area was divided into three sections—south, central, and north.
\nThe south section of the study area, from Harriman south to the Rockland County and New Jersey borders, includes the south-draining valleys of the Ramapo River and Summit Brook. South of the wide valley area at Harriman, the valleys are narrow and the valley-fill aquifers are largely untested; the most favorable aquifer conditions are likely at Arden and where major tributary streams enter the valley, between Southfields and We-Wah Lake. At Harriman, the Ramapo River valley fill has water-resource potential from ice-contact sand and gravel deposits.
\nThe central section of the study area encompasses the headwater drainage area of the Ramapo River, from Harriman to Monroe and Kiryas Joel. The valley-fill aquifer material is generally thin, mostly unconfined, and underlain by glacial till. Shallow production wells tap parts of this aquifer, and appear most productive when sited near surface-water bodies. Production wells in the section are frequently completed in the underlying bedrock.
\nThe north section of the study area encompasses the watershed of north-draining Woodbury Creek to just north of its confluence with Moodna Creek. The width of the valley bottom and type of valley-fill deposits vary considerably within the valley. The section likely has the greatest water-resource potential—both confined and unconfined aquifers are present and the village of Woodbury and town of Cornwall draw water supply from production wells. Aquifer potential appears most promising north of Central Valley, but several areas in this section are largely untested.
\nValley-fill aquifers are modest resources within the area, as indicated by the common practice of completing supply wells in the underlying bedrock rather than the overlying glacial deposits. Groundwater turbidity problems curtail use of the resource. However, additional groundwater resources have been identified by test drilling, and there are remaining untested areas. New groundwater supplies that stress localized aquifer areas will alter the groundwater flow system. Considerations include potential water-quality degradation from nearby land use(s) and, where withdrawals induce infiltration of surface-water, balancing withdrawals with flow requirements for downstream users or for maintenance of stream ecological health.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145156","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Heisig, P.M., 2015, Hydrogeology of the Ramapo River-Woodbury Creek valley-fill aquifer system and adjacent areas in eastern Orange County, New York: U.S. Geological Survey Scientific Investigations Report 2014-5156, Report: vi, 23 p.; Appendixes 1-2; Plate: 34.0 x 44.0 inches, https://doi.org/10.3133/sir20145156.","productDescription":"Report: vi, 23 p.; Appendixes 1-2; Plate: 34.0 x 44.0 inches","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050854","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":297442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145156.jpg"},{"id":297438,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5156/pdf/sir2014-5156.pdf","text":"Report","size":"3.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297437,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5156/"},{"id":297439,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5156/attachments/sir2014-5156_Appendix1.xlsx","text":"Appendix 1","size":"133 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 1","linkHelpText":"Well data for the Ramapo River - Woodbury Creek valley and adjacent uplands, eastern Orange County, New York"},{"id":297440,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5156/attachments/sir2014-5156_appendix2.pdf","text":"Appendix 2","size":"21.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 2","linkHelpText":"North-south longitudinal section along Ramapo River-Woodbury Creek valleys showing elevations of floodp lains, terraces, and other valley-bottom glacial features."},{"id":297441,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5156/plate.html","text":"Plate 1","size":"59.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 1","linkHelpText":"Hydrogeology of the Ramapo River-Woodbury Creek Valley-Fill Aquifer System and Adjacent Areas in Eastern Orange County, New York"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum 1983","country":"United States","state":"New York","county":"Orange County","otherGeospatial":"Ramapo River, Woodbury Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.28680419921875,\n 41.13005574377673\n ],\n [\n -74.28680419921875,\n 41.46228285189013\n ],\n [\n -73.97369384765625,\n 41.46228285189013\n ],\n [\n -73.97369384765625,\n 41.13005574377673\n ],\n [\n -74.28680419921875,\n 41.13005574377673\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a86e4b08de9379b30cd","contributors":{"authors":[{"text":"Heisig, Paul M. 0000-0003-0338-4970 pmheisig@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-4970","contributorId":793,"corporation":false,"usgs":true,"family":"Heisig","given":"Paul","email":"pmheisig@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519219,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70140360,"text":"70140360 - 2015 - Soil greenhouse gas emissions and carbon budgeting in a short-hydroperiod floodplain wetland","interactions":[],"lastModifiedDate":"2015-02-26T15:53:33","indexId":"70140360","displayToPublicDate":"2015-01-21T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Soil greenhouse gas emissions and carbon budgeting in a short-hydroperiod floodplain wetland","docAbstract":"Understanding the controls on floodplain carbon (C) cycling is important for assessing greenhouse gas emissions and the potential for C sequestration in river-floodplain ecosystems. We hypothesized that greater hydrologic connectivity would increase C inputs to floodplains that would not only stimulate soil C gas emissions but also sequester more C in soils. In an urban Piedmont river (151 km2 watershed) with a floodplain that is dry most of the year, we quantified soil CO2, CH4, and N2O net emissions along gradients of floodplain hydrologic connectivity, identified controls on soil aerobic and anaerobic respiration, and developed a floodplain soil C budget. Sites were chosen along a longitudinal river gradient and across lateral floodplain geomorphic units (levee, backswamp, and toe slope). CO2 emissions decreased downstream in backswamps and toe slopes and were high on the levees. CH4 and N2O fluxes were near zero; however, CH4emissions were highest in the backswamp. Annual CO2 emissions correlated negatively with soil water-filled pore space and positively with variables related to drier, coarser soil. Conversely, annual CH4 emissions had the opposite pattern of CO2. Spatial variation in aerobic and anaerobic respiration was thus controlled by oxygen availability but was not related to C inputs from sedimentation or vegetation. The annual mean soil CO2 emission rate was 1091 g C m−2 yr−1, the net sedimentation rate was 111 g C m−2 yr−1, and the vegetation production rate was 240 g C m−2 yr−1, with a soil C balance (loss) of −338 g C m−2 yr−1. This floodplain is losing C likely due to long-term drying from watershed urbanization.
","language":"English","publisher":"Wiley","doi":"10.1002/2014JG002817","usgsCitation":"Batson, J., Noe, G.B., Hupp, C.R., Krauss, K.W., Rybicki, N.B., and Schenk, E.R., 2015, Soil greenhouse gas emissions and carbon budgeting in a short-hydroperiod floodplain wetland: Journal of Geophysical Research: Biogeosciences, v. 120, no. 1, p. 77-95, https://doi.org/10.1002/2014JG002817.","productDescription":"19 p.","startPage":"77","endPage":"95","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061690","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472327,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jg002817","text":"Publisher Index Page"},{"id":297816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Difficult Run, Potomac River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.23560333251953,\n 38.9768594727967\n ],\n [\n -77.23341464996338,\n 38.9756250535527\n ],\n [\n -77.23637580871582,\n 38.97395688525248\n ],\n [\n -77.2638416290283,\n 38.97072052669015\n ],\n [\n -77.2873592376709,\n 38.96613265162267\n ],\n [\n -77.28907585144043,\n 38.966733263080755\n ],\n [\n -77.2746992111206,\n 38.9743906127907\n ],\n [\n -77.2572112083435,\n 38.975191333574806\n ],\n [\n -77.24978685379028,\n 38.97894459156479\n ],\n [\n -77.23560333251953,\n 38.9768594727967\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-21","publicationStatus":"PW","scienceBaseUri":"54dd2ab5e4b08de9379b319c","contributors":{"authors":[{"text":"Batson, Jackie jbatson@usgs.gov","contributorId":5186,"corporation":false,"usgs":true,"family":"Batson","given":"Jackie","email":"jbatson@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":540022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory B. gnoe@usgs.gov","contributorId":131138,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":540023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":540024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":540025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rybicki, Nancy B. 0000-0002-2205-7927 nrybicki@usgs.gov","orcid":"https://orcid.org/0000-0002-2205-7927","contributorId":2142,"corporation":false,"usgs":true,"family":"Rybicki","given":"Nancy","email":"nrybicki@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":540026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":540027,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70138204,"text":"70138204 - 2015 - Patterns of floodplain sediment deposition along the regulated lower Roanoke River, North Carolina: annual, decadal, centennial scales","interactions":[],"lastModifiedDate":"2015-01-15T13:12:41","indexId":"70138204","displayToPublicDate":"2015-01-15T13:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of floodplain sediment deposition along the regulated lower Roanoke River, North Carolina: annual, decadal, centennial scales","docAbstract":"The lower Roanoke River on the Coastal Plain of North Carolina is not embayed and maintains a floodplain that is among the largest on the mid-Atlantic Coast. This floodplain has been impacted by substantial aggradation in response to upstream colonial and post-colonial agriculture between the mid-eighteenth and mid-nineteenth centuries. Additionally, since the mid-twentieth century stream flow has been regulated by a series of high dams. We used artificial markers (clay pads), tree-ring (dendrogeomorphic) techniques, and pollen analyses to document sedimentation rates/amounts over short-, intermediate-, and long-term temporal scales, respectively. These analyses occurred along 58 transects at 378 stations throughout the lower river floodplain from near the Fall Line to the Albemarle Sound. Present sediment deposition rates ranged from 0.5 to 3.4 mm/y and 0.3 to 5.9 mm/y from clay pad and dendrogeomorphic analyses, respectively. Deposition rates systematically increased from upstream (high banks and floodplain) to downstream (low banks) reaches, except the lowest reaches. Conversely, legacy sediment deposition (A.D. 1725 to 1850) ranged from 5 to about 40 mm/y, downstream to upstream, respectively, and is apparently responsible for high banks upstream and large/wide levees along some of the middle stream reaches. Dam operations have selectively reduced levee deposition while facilitating continued backswamp deposition. A GIS-based model predicts 453,000 Mg of sediment is trapped annually on the floodplain and that little watershed-derived sediment reaches the Albemarle Sound. Nearly all sediment in transport and deposited is derived from the channel bed and banks. Legacy deposits (sources) and regulated discharges affect most aspects of present fluvial sedimentation dynamics. The lower river reflects complex relaxation conditions following both major human alterations, yet continues to provide the ecosystem service of sediment trapping.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2014.10.023","usgsCitation":"Hupp, C.R., Schenk, E.R., Kroes, D., Willard, D.A., Townsend, P.A., and Peet, R.K., 2015, Patterns of floodplain sediment deposition along the regulated lower Roanoke River, North Carolina: annual, decadal, centennial scales: Geomorphology, v. 228, p. 666-680, https://doi.org/10.1016/j.geomorph.2014.10.023.","productDescription":"15 p.","startPage":"666","endPage":"680","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057933","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":297300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Albemarle Sound, Roanoke River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.7337646484375,\n 35.610417892730524\n ],\n [\n -77.7337646484375,\n 36.54936246839778\n ],\n [\n -76.61041259765624,\n 36.54936246839778\n ],\n [\n -76.61041259765624,\n 35.610417892730524\n ],\n [\n -77.7337646484375,\n 35.610417892730524\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"228","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2aa0e4b08de9379b314c","contributors":{"authors":[{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":538604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":538605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroes, Daniel 0000-0001-9104-9077 dkroes@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-9077","contributorId":3830,"corporation":false,"usgs":true,"family":"Kroes","given":"Daniel","email":"dkroes@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":538606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":538607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Townsend, Phil A.","contributorId":91329,"corporation":false,"usgs":false,"family":"Townsend","given":"Phil","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":538608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peet, Robert K.","contributorId":12711,"corporation":false,"usgs":false,"family":"Peet","given":"Robert","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":538609,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70137253,"text":"70137253 - 2015 - Geochemical evolution of groundwater in the Mud Lake area, eastern Idaho, USA","interactions":[],"lastModifiedDate":"2015-06-02T11:09:36","indexId":"70137253","displayToPublicDate":"2015-01-10T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1534,"text":"Environmental Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical evolution of groundwater in the Mud Lake area, eastern Idaho, USA","docAbstract":"Groundwater with elevated dissolved-solids concentrations—containing large concentrations of chloride, sodium, sulfate, and calcium—is present in the Mud Lake area of Eastern Idaho. The source of these solutes is unknown; however, an understanding of the geochemical sources and processes controlling their presence in groundwater in the Mud Lake area is needed to better understand the geochemical sources and processes controlling the water quality of groundwater at the Idaho National Laboratory. The geochemical sources and processes controlling the water quality of groundwater in the Mud Lake area were determined by investigating the geology, hydrology, land use, and groundwater geochemistry in the Mud Lake area, proposing sources for solutes, and testing the proposed sources through geochemical modeling with PHREEQC. Modeling indicated that sources of water to the eastern Snake River Plain aquifer were groundwater from the Beaverhead Mountains and the Camas Creek drainage basin; surface water from Medicine Lodge and Camas Creeks, Mud Lake, and irrigation water; and upward flow of geothermal water from beneath the aquifer. Mixing of groundwater with surface water or other groundwater occurred throughout the aquifer. Carbonate reactions, silicate weathering, and dissolution of evaporite minerals and fertilizer explain most of the changes in chemistry in the aquifer. Redox reactions, cation exchange, and evaporation were locally important. The source of large concentrations of chloride, sodium, sulfate, and calcium was evaporite deposits in the unsaturated zone associated with Pleistocene Lake Terreton. Large amounts of chloride, sodium, sulfate, and calcium are added to groundwater from irrigation water infiltrating through lake bed sediments containing evaporite deposits and the resultant dissolution of gypsum, halite, sylvite, and bischofite.
","language":"English","publisher":"Springer","doi":"10.1007/s12665-014-3988-9","usgsCitation":"Rattray, G.W., 2015, Geochemical evolution of groundwater in the Mud Lake area, eastern Idaho, USA: Environmental Earth Sciences, v. 73, no. 12, p. 8251-8269, https://doi.org/10.1007/s12665-014-3988-9.","productDescription":"19 p.","startPage":"8251","endPage":"8269","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054801","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":472341,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12665-014-3988-9","text":"Publisher Index Page"},{"id":297528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Mud Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.09228515624999,\n 49.009050809382046\n ],\n [\n -117.158203125,\n 42.04929263868686\n ],\n [\n -111.005859375,\n 42.01665183556825\n ],\n [\n -111.11572265625,\n 44.77793589631623\n ],\n [\n -116.08154296875001,\n 48.99463598353408\n ],\n [\n -117.09228515624999,\n 49.009050809382046\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"73","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-10","publicationStatus":"PW","scienceBaseUri":"54dd2a7de4b08de9379b30a4","contributors":{"authors":[{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537579,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70126408,"text":"ofr20141207 - 2015 - Central Appalachian basin natural gas database: distribution, composition, and origin of natural gases","interactions":[],"lastModifiedDate":"2015-01-26T13:05:44","indexId":"ofr20141207","displayToPublicDate":"2015-01-07T13:30:00","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":"2014-1207","title":"Central Appalachian basin natural gas database: distribution, composition, and origin of natural gases","docAbstract":"The U.S. Geological Survey (USGS) has compiled a database consisting of three worksheets of central Appalachian basin natural gas analyses and isotopic compositions from published and unpublished sources of 1,282 gas samples from Kentucky, Maryland, New York, Ohio, Pennsylvania, Tennessee, Virginia, and West Virginia. The database includes field and reservoir names, well and State identification number, selected geologic reservoir properties, and the composition of natural gases (methane; ethane; propane; butane, iso-butane [i-butane]; normal butane [n-butane]; iso-pentane [i-pentane]; normal pentane [n-pentane]; cyclohexane, and hexanes). In the first worksheet, location and American Petroleum Institute (API) numbers from public or published sources are provided for 1,231 of the 1,282 gas samples. A second worksheet of 186 gas samples was compiled from published sources and augmented with public location information and contains carbon, hydrogen, and nitrogen isotopic measurements of natural gas. The third worksheet is a key for all abbreviations in the database. The database can be used to better constrain the stratigraphic distribution, composition, and origin of natural gas in the central Appalachian basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141207","usgsCitation":"Roman Colon, Y.A., and Ruppert, L.F., 2015, Central Appalachian basin natural gas database: distribution, composition, and origin of natural gases: U.S. Geological Survey Open-File Report 2014-1207, Report: iv, 13 p.; Appendix, https://doi.org/10.3133/ofr20141207.","productDescription":"Report: iv, 13 p.; Appendix","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-040818","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":297038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141207.jpg"},{"id":297035,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1207/"},{"id":297036,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1207/pdf/ofr2014-1207.pdf","text":"Report","size":"15.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297037,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1207/appendix/ofr2014-1207_appendix1.xlsx","text":"Appendix 1","size":"738 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 1","linkHelpText":"This is an electronic copy of Appendix 1 that contains three worksheets of central Appalachian Basin Natural Gas Analyses and Isotopic Compositions."}],"country":"United States","state":"Kentucky, Maryland, New York, Ohio, Pennsylvania, Tennessee, Virginia, and West Virginia","otherGeospatial":"Appalachian basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a5ce4b08de9379b300c","contributors":{"authors":[{"text":"Roman Colon, Yomayra A.","contributorId":120751,"corporation":false,"usgs":true,"family":"Roman Colon","given":"Yomayra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":519550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":519549,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200474,"text":"70200474 - 2015 - Evaluation of development options for Alaska North Slope viscous and heavy oil","interactions":[],"lastModifiedDate":"2018-10-22T13:42:20","indexId":"70200474","displayToPublicDate":"2015-01-01T13:42:04","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of development options for Alaska North Slope viscous and heavy oil","docAbstract":"Current estimates of discovered viscous and heavy oil in Alaska’s North Slope are 12 billion barrels of oil-in-place and 12–18 billion barrels of oil-in-place, respectively (see Appendix 1 for conversion to SI units). Since the early 1990s to the end of 2010, cumulative viscous oil production has amounted to 150 million barrels, and there has been no commercial production of heavy oil. During the last three decades, the industry has been challenged to develop technologies to commercially produce these untapped oil resources in this Arctic environment. In this paper, the general locations and geologic properties of the viscous oil-bearing West Sak/Schrader Bluff and heavy oil-bearing Ugnu stratigraphic intervals are described first. The geologic variability within these deposits and the evolution of technology have forced an incremental development approach, requiring costly field testing at the pilot scale of innovative extraction techniques. Although viscous oil is currently produced, its development is not mature, and firms appear to be still spending large sums on new approaches to improve recovery. The analysis specifies a representative viscous oil project and then applies a “real options” framework using simulation to determine whether the risked expected project value is sufficient to fund required expenditures on extraction process research and field testing. Computations show available field test funds to be highly sensitive to the operator’s hurdle rate of return as well as the range in magnitude of potential State revenues. The contribution of the paper is solving this problem using an approach where the extreme low return and high scenarios need only be specified, and where the uncertainties are modeled with beta distributions based on historical data or expert opinion.
","language":"English","publisher":"Springer","doi":"10.1007/s11053-014-9240-1","usgsCitation":"Attanasi, E., and Freeman, P., 2015, Evaluation of development options for Alaska North Slope viscous and heavy oil: Natural Resources Research, v. 24, no. 1, p. 85-106, https://doi.org/10.1007/s11053-014-9240-1.","productDescription":"22 p.","startPage":"85","endPage":"106","ipdsId":"IP-052147","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":358625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"24","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-26","publicationStatus":"PW","scienceBaseUri":"5c10b345e4b034bf6a7e9c20","contributors":{"authors":[{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":198728,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil D.","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":749053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Philip A. 0000-0002-0863-7431 pfreeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":193093,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","email":"pfreeman@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":749054,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201529,"text":"70201529 - 2015 - Detrital zircon U-Pb provenance of the Colorado River: A 5 m.y. record of incision into cover strata overlying the Colorado Plateau and adjacent regions","interactions":[],"lastModifiedDate":"2018-12-17T13:14:43","indexId":"70201529","displayToPublicDate":"2015-01-01T13:12:41","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Detrital zircon U-Pb provenance of the Colorado River: A 5 m.y. record of incision into cover strata overlying the Colorado Plateau and adjacent regions","docAbstract":"New detrital zircon U-Pb age distributions from 49 late Cenozoic sandstones and Holocene sands (49 samples, n = 3922) record the arrival of extra-regional early Pliocene Colorado River sediment at Grand Wash (western USA) and downstream locations ca. 5.3 Ma and the subsequent evolution of the river’s provenance signature. We define reference age distributions for the early Pliocene Colorado River (n = 559) and Holocene Colorado River (n = 601). The early Pliocene river is distinguished from the Holocene river by (1) a higher proportion of Yavapai-Mazatzal zircon derived from Rocky Mountain basement uplifts relative to Grenville zircon from Mesozoic supra crustal rocks, and (2) distinctive (∼6%) late Eocene–Oligocene (40–23 Ma) zircon reworked from Cenozoic basins and volcanic fields in the southern Rocky Mountains and/or the eastern Green River catchment. Geologic relationships and interpretation of 135 published detrital zircon age distributions throughout the Colorado River catchment provide the interpretative basis for modeling evolution of the provenance signature. Mixture modeling based upon a modified formulation of the Kolmogorov-Smirnov statistic indicate a subtle yet robust change in Colorado River provenance signature over the past 5 m.y. During this interval the contribution from Cenozoic strata decreased from ∼75% to 50% while pre-Cretaceous strata increased from ∼25% to 50%. We interpret this change to reflect progressive erosional incision into plateau cover strata. Our finding is consistent with geologic and thermochronologic studies that indicate that maximum post–10 Ma erosion of the Colorado River catchment was concentrated across the eastern Utah–western Colorado region.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00982.1","usgsCitation":"Kimbrough, D.L., Grove, M., Gehrels, G.E., Dorsey, R.J., Howard, K.A., Lovera, O., Aslan, A., House, K., and Pearthree, P.A., 2015, Detrital zircon U-Pb provenance of the Colorado River: A 5 m.y. record of incision into cover strata overlying the Colorado Plateau and adjacent regions: Geosphere, v. 11, no. 6, p. 1719-1748, https://doi.org/10.1130/GES00982.1.","productDescription":"30 p.","startPage":"1719","endPage":"1748","ipdsId":"IP-100943","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":472350,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00982.1","text":"Publisher Index Page"},{"id":360372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115,\n 31\n ],\n [\n -105,\n 31\n ],\n [\n -105,\n 45\n ],\n [\n -115,\n 45\n ],\n [\n -115,\n 31\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-02","publicationStatus":"PW","scienceBaseUri":"5c18c425e4b006c4f856ace3","contributors":{"authors":[{"text":"Kimbrough, David L.","contributorId":211569,"corporation":false,"usgs":false,"family":"Kimbrough","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":754403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grove, Marty","contributorId":211570,"corporation":false,"usgs":false,"family":"Grove","given":"Marty","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":754404,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gehrels, George E.","contributorId":59795,"corporation":false,"usgs":true,"family":"Gehrels","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":754405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dorsey, Rebecca J.","contributorId":167712,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":24813,"text":"University of Oregan","active":true,"usgs":false}],"preferred":false,"id":754406,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Howard, Keith A. 0000-0002-6462-2947 khoward@usgs.gov","orcid":"https://orcid.org/0000-0002-6462-2947","contributorId":3439,"corporation":false,"usgs":true,"family":"Howard","given":"Keith","email":"khoward@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":754402,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lovera, Oscar","contributorId":211573,"corporation":false,"usgs":false,"family":"Lovera","given":"Oscar","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":754407,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aslan, Andres","contributorId":211574,"corporation":false,"usgs":false,"family":"Aslan","given":"Andres","email":"","affiliations":[{"id":34607,"text":"Colorado Mesa University","active":true,"usgs":false}],"preferred":false,"id":754408,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"House, Kyle 0000-0002-0019-8075 khouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0019-8075","contributorId":2293,"corporation":false,"usgs":true,"family":"House","given":"Kyle","email":"khouse@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":754430,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pearthree, Philip A.","contributorId":17363,"corporation":false,"usgs":true,"family":"Pearthree","given":"Philip","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":754431,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70155201,"text":"70155201 - 2015 - Simulations of potential future conditions in the cache critical groundwater area, Arkansas","interactions":[],"lastModifiedDate":"2015-08-03T10:22:57","indexId":"70155201","displayToPublicDate":"2015-01-01T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1574,"text":"Environmental & Engineering Geoscience","printIssn":"1078-7275","active":true,"publicationSubtype":{"id":10}},"title":"Simulations of potential future conditions in the cache critical groundwater area, Arkansas","docAbstract":"A three-dimensional finite-difference model for part of the Mississippi River Valley alluvial aquifer in the Cache Critical Groundwater Area of eastern Arkansas was constructed to simulate potential future conditions of groundwater flow. The objectives of this study were to test different pilot point distributions to find reasonable estimates of aquifer properties for the alluvial aquifer, to simulate flux from rivers, and to demonstrate how changes in pumping rates for different scenarios affect areas of long-term water-level declines over time. The model was calibrated using the parameter estimation code. Additional calibration was achieved using pilot points with regularization and singular value decomposition. Pilot point parameter values were estimated at a number of discrete locations in the study area to obtain reasonable estimates of aquifer properties. Nine pumping scenarios for the years 2011 to 2020 were tested and compared to the simulated water-level heads from 2010. Hydraulic conductivity values from pilot point calibration ranged between 42 and 173 m/d. Specific yield values ranged between 0.19 and 0.337. Recharge rates ranged between 0.00009 and 0.0006 m/d. The model was calibrated using 2,322 hydraulic head measurements for the years 2000 to 2010 from 150 observation wells located in the study area. For all scenarios, the volume of water depleted ranged between 5.7 and 23.3 percent, except in Scenario 2 (minimum pumping rates), in which the volume increased by 2.5 percent.
","language":"English","publisher":"Geological Society of America","publisherLocation":"College Station, TX","doi":"10.2113/gseegeosci.21.1.1","collaboration":"Department of Applied Science, University of Arkansas; Graduate Institute of Technology, University of Arkansas; Civil and Environmental Engineering Department, University of Houston","usgsCitation":"Rashid, H.M., Clark, B.R., Mahdi, H.H., Rifai, H.S., and Al-Shukri, H.J., 2015, Simulations of potential future conditions in the cache critical groundwater area, Arkansas: Environmental & Engineering Geoscience, v. 21, no. 1, p. 1-19, https://doi.org/10.2113/gseegeosci.21.1.1.","productDescription":"19 p.","startPage":"1","endPage":"19","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052827","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":306309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.63623046875,\n 36.50963615733049\n ],\n [\n -90.10986328125,\n 36.54494944148322\n ],\n [\n -89.97802734375,\n 36.33282808737917\n ],\n [\n -90.3955078125,\n 35.97800618085568\n ],\n [\n -89.71435546875,\n 36.01356058518153\n ],\n [\n -90.17578124999999,\n 35.0120020431607\n ],\n [\n -90.46142578125,\n 34.70549341022544\n ],\n [\n -90.54931640625,\n 34.361576287484176\n ],\n [\n -91.07666015625,\n 33.65120829920497\n ],\n [\n -91.03271484375,\n 33.211116472416855\n ],\n [\n -91.14257812499999,\n 32.99023555965106\n ],\n [\n -94.06494140625,\n 33.04550781490999\n ],\n [\n -93.955078125,\n 33.26624989076275\n ],\n [\n -94.06494140625,\n 33.33970700424026\n ],\n [\n -94.10888671875,\n 33.54139466898275\n ],\n [\n -94.482421875,\n 33.55970664841198\n ],\n [\n -94.46044921875,\n 35.35321610123821\n ],\n [\n -94.63623046875,\n 36.50963615733049\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-05","publicationStatus":"PW","scienceBaseUri":"55c090b5e4b033ef521042b2","contributors":{"authors":[{"text":"Rashid, Haveen M.","contributorId":145715,"corporation":false,"usgs":false,"family":"Rashid","given":"Haveen","email":"","middleInitial":"M.","affiliations":[{"id":16207,"text":"Department of Applied Science, University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":565059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Brian R. 0000-0001-6611-3807 brclark@usgs.gov","orcid":"https://orcid.org/0000-0001-6611-3807","contributorId":1502,"corporation":false,"usgs":true,"family":"Clark","given":"Brian","email":"brclark@usgs.gov","middleInitial":"R.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":565058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahdi, Hanan H.","contributorId":145716,"corporation":false,"usgs":false,"family":"Mahdi","given":"Hanan","email":"","middleInitial":"H.","affiliations":[{"id":16208,"text":"Graduate Institute of Technology, University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":565060,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rifai, Hanadi S.","contributorId":145718,"corporation":false,"usgs":false,"family":"Rifai","given":"Hanadi","email":"","middleInitial":"S.","affiliations":[{"id":16209,"text":"Civil and Environmental Engineering Department, University of Houston","active":true,"usgs":false}],"preferred":false,"id":565062,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Al-Shukri, Haydar J.","contributorId":145717,"corporation":false,"usgs":false,"family":"Al-Shukri","given":"Haydar","email":"","middleInitial":"J.","affiliations":[{"id":16207,"text":"Department of Applied Science, University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":565061,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70113377,"text":"70113377 - 2015 - Kilauea's 5-9 March 2011 Kamoamoa fissure eruption and its relation to 30+ years of activity from Pu'u 'Ō'ō","interactions":[],"lastModifiedDate":"2022-12-08T14:31:35.712261","indexId":"70113377","displayToPublicDate":"2015-01-01T10:54:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5371,"text":"Geophysical Monograph","active":true,"publicationSubtype":{"id":24}},"chapter":"18","title":"Kilauea's 5-9 March 2011 Kamoamoa fissure eruption and its relation to 30+ years of activity from Pu'u 'Ō'ō","docAbstract":"Lava output from Kīlauea's long-lived East Rift Zone eruption, ongoing since 1983, began waning in 2010 and was coupled with uplift, increased seismicity, and rising lava levels at the volcano's summit and Pu‘u ‘Ō‘ō vent. These changes culminated in the four-day-long Kamoamoa fissure eruption on the East Rift Zone starting on 5 March 2011. About 2.7 × 106 m3 of lava erupted, accompanied by ˜15 cm of summit subsidence, draining of Kīlauea's summit lava lake, a 113 m drop of Pu‘u ‘Ō‘ō's crater floor, ˜3 m of East Rift Zone widening, and eruptive SO2 emissions averaging 8500 tonnes/day. Lava effusion resumed at Pu‘u ‘Ō‘ō shortly after the Kamoamoa eruption ended, marking the onset of a new period of East Rift Zone activity. Multiparameter monitoring before and during the Kamoamoa eruption suggests that it was driven by an imbalance between magma supplied to and erupted from Kīlauea's East Rift Zone and that eruptive output is affected by changes in the geometry of the rift zone plumbing system. These results imply that intrusions and eruptive changes during ongoing activity at Kīlauea may be anticipated from the geophysical, geological, and geochemical manifestations of magma supply and magma plumbing system geometry.
The white-footed mouse, Musculus leucopus Rafinesque, 1818 (= Peromyscus leucopus), is a common small mammal that is widespread in the eastern and central United States. Its abundance in many habitats renders it ecologically important, and its status as a reservoir for hantavirus and Lyme disease gives the species medical and economic significance. The recognition of two cytotypes and up to 17 morphological subspecies of P. leucopus indicates considerable variation in the species, and to understand this variation, it is important that the nominate subspecies be adequately defined so as to act as a standard for comparison. Relevant to this standard for the white-footed mouse is its type locality, which has generally been accepted to be either the vague \"pine barrens of Kentucky\" or the mouth of the Ohio River. Newly assembled information regarding the life and travels of Constantine S. Rafinesque, the North American naturalist who described P. leucopus, establishes that Rafinesque observed this species in July 1818 while visiting Shippingport, Kentucky, which is now within the city limits of Louisville, Jefferson Co., Kentucky. Shippingport is therefore the actual type locality for this species.
","language":"English","publisher":"Biological Society of Washington","publisherLocation":"Washington, D.C.","doi":"10.2988/0006-324X-128.2.152","usgsCitation":"Woodman, N., 2015, Shippingport, Kentucky, is the type locality for the white-footed mouse, Peromyscus leucopus (Rafinesque, 1818) (Mammalia: Rodentia: Cricetidae): Proceedings of the Biological Society of Washington, v. 182, no. 2, p. 152-163, https://doi.org/10.2988/0006-324X-128.2.152.","productDescription":"12 p.","startPage":"152","endPage":"163","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065337","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472379,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2988/0006-324x-128.2.152","text":"Publisher Index Page"},{"id":305425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"182","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55926d1ae4b0b6d21dd67953","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":563891,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70182228,"text":"70182228 - 2015 - Denitrification in the Mississippi River network controlled by flow through river bedforms","interactions":[],"lastModifiedDate":"2020-09-01T14:28:52.992248","indexId":"70182228","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Denitrification in the Mississippi River network controlled by flow through river bedforms","docAbstract":"Increasing nitrogen concentrations in the world’s major rivers have led to over-fertilization of sensitive downstream waters. Flow through channel bed and bank sediments acts to remove riverine nitrogen through microbe-mediated denitrification reactions. However, little is understood about where in the channel network this biophysical process is most efficient, why certain channels are more effective nitrogen reactors, and how management practices can enhance the removal of nitrogen in regions where water circulates through sediment and mixes with groundwater - hyporheic zones. Here we present numerical simulations of hyporheic flow and denitrification throughout the Mississippi River network using a hydrogeomorphic model. We find that vertical exchange with sediments beneath the riverbed in hyporheic zones, driven by submerged bedforms, has denitrification potential that far exceeds lateral hyporheic exchange with sediments alongside river channels, driven by river bars and meandering banks. We propose that geomorphic differences along river corridors can explain why denitrification efficiency varies between basins in the Mississippi River network. Our findings suggest that promoting the development of permeable bedforms at the streambed - and thus vertical hyporheic exchange - would be more effective at enhancing river denitrification in large river basins than promoting lateral exchange through induced channel meandering.
","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/NGEO2567","usgsCitation":"Gomez-Velez, J., Harvey, J.W., Cardenas, M.B., and Kiel, B., 2015, Denitrification in the Mississippi River network controlled by flow through river bedforms: Nature Geoscience, v. 8, p. 941-945, https://doi.org/10.1038/NGEO2567.","productDescription":"5 p.","startPage":"941","endPage":"945","ipdsId":"IP-066691","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":335897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River Network","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.15234375,\n 46.042735653846506\n ],\n [\n -104.30419921875,\n 49.009050809382046\n ],\n [\n -109.18212890625,\n 49.296471602658066\n ],\n [\n -113.04931640625,\n 48.79239019646406\n ],\n [\n -113.466796875,\n 45.1510532655634\n ],\n [\n -112.7197265625,\n 43.61221676817573\n ],\n [\n -105.3369140625,\n 40.094882122321145\n ],\n [\n -102.12890625,\n 38.44498466889473\n ],\n [\n -94.658203125,\n 37.96152331396614\n ],\n [\n -87.890625,\n 36.10237644873644\n ],\n [\n -85.517578125,\n 35.38904996691167\n ],\n [\n -82.177734375,\n 37.23032838760387\n ],\n [\n -81.5625,\n 36.73888412439431\n ],\n [\n -81.9140625,\n 36.31512514748051\n ],\n [\n -80.419921875,\n 36.87962060502676\n ],\n [\n -78.92578124999999,\n 42.87596410238256\n ],\n [\n -81.73828125,\n 40.97989806962013\n ],\n [\n -84.287109375,\n 40.97989806962013\n ],\n [\n -85.078125,\n 42.22851735620852\n ],\n [\n -86.1328125,\n 42.5530802889558\n ],\n [\n -87.275390625,\n 41.64007838467894\n ],\n [\n -87.802734375,\n 42.293564192170095\n ],\n [\n -87.890625,\n 43.068887774169625\n ],\n [\n -91.845703125,\n 46.558860303117164\n ],\n [\n -94.04296874999999,\n 47.81315451752768\n ],\n [\n -95.09765625,\n 47.21956811231547\n ],\n [\n -95.537109375,\n 46.800059446787316\n ],\n [\n -96.15234375,\n 46.042735653846506\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-26","publicationStatus":"PW","scienceBaseUri":"58ad5fc3e4b01ccd54f8b527","contributors":{"authors":[{"text":"Gomez-Velez, Jesus D. jgomezvelez@usgs.gov","contributorId":5362,"corporation":false,"usgs":true,"family":"Gomez-Velez","given":"Jesus D.","email":"jgomezvelez@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":670075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":670074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cardenas, M. 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In this study, the hypothesis that migratory birds contribute to the redistribution of parasites between continents was tested by sampling northern pintails (Anas acuta) at locations throughout the North Pacific Basin in North America and East Asia for haemosporidian infections and assessing the genetic evidence for parasite exchange. Of 878 samples collected from birds in Alaska (USA), California (USA), and Hokkaido (Japan) during August 2011 - May 2012 and screened for parasitic infections using molecular techniques, Leucocytozoon, Haemoproteus, and Plasmodium parasites were detected in 555 (63%), 44 (5%), and 52 (6%) samples, respectively. Using an occupancy modeling approach, the probability of detecting parasites via replicate genetic tests was estimated to be high (p ≥ 0.95). Multi-model inference supported variation of Leucocytozoon parasite prevalence by northern pintail age class and geographic location of sampling in contrast to Haemoproteus and Plasmodium parasites for which there was only support for variation in parasite prevalence by sampling location. Thirty-one unique mitochondrial DNA haplotypes were detected among haematozoa infecting northern pintails including seven lineages shared between samples from North America and Japan. The finding of identical parasite haplotypes at widely distributed geographic locations and general lack of genetic structuring by continent in phylogenies for Leucocytozoon and Plasmodium provides evidence for intercontinental genetic exchange of haemosporidian parasites. Results suggest that migratory birds, including waterfowl, could therefore facilitate the introduction of avian malaria and other haemosporidia to novel hosts and spatially distant regions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijppaw.2014.12.004","usgsCitation":"Ramey, A.M., Schmutz, J.A., Reed, J.A., Fujita, G., Scotton, B.D., Casler, B., Fleskes, J.P., Konishi, K., Uchida, K., and Yabsley, M.J., 2015, Evidence for intercontinental parasite exchange through molecular detection and characterization of haematozoa in northern pintails (Anas acuta) sampled throughout the North Pacific Basin: International Journal for Parasitology: Parasites and Wildlife, v. 4, no. 1, p. 11-21, https://doi.org/10.1016/j.ijppaw.2014.12.004.","productDescription":"11 p.","startPage":"11","endPage":"21","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059565","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":472416,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2014.12.004","text":"Publisher Index 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While the Miocene-to-recent history of most MCCs in the Great Basin, including the Raft River-Albion-Grouse Creek MCC, is well documented, early Cenozoic tectonic fabrics are commonly severely overprinted. We present stable isotope, geochronological (40Ar/39Ar), and microstructural data from the Raft River detachment shear zone. Hydrogen isotope ratios of syntectonic white mica (δ2Hms) from mylonitic quartzite within the shear zone are very low (−90‰ to −154‰, Vienna SMOW) and result from multiphase synkinematic interaction with surface-derived fluids. 40Ar/39Ar geochronology reveals Eocene (re)crystallization of white mica with δ2Hms ≥ −154‰ in quartzite mylonite of the western segment of the detachment system. These δ2Hms values are distinctively lower than in localities farther east (δ2Hms ≥ −125‰), where 40Ar/39Ar geochronological data indicate Miocene (18–15 Ma) extensional shearing and mylonitic fabric formation. These data indicate that very low δ2H surface-derived fluids penetrated the brittle-ductile transition as early as the mid-Eocene during a first phase of exhumation along a detachment rooted to the east. In the eastern part of the core complex, prominent top-to-the-east ductile shearing, mid-Miocene 40Ar/39Ar ages, and higher δ2H values of recrystallized white mica, indicate Miocene structural and isotopic overprinting of Eocene fabrics.
","language":"English","publisher":"AGU","doi":"10.1002/2014TC003766","usgsCitation":"Methner, K., Mulch, A., Teyssier, C., Wells, M.L., Cosca, M.A., Gottardi, R., Gebelin, A., and Chamberlain, C.P., 2015, Eocene and Miocene extension, meteoric fluid infiltration, and core complex formation in the Great Basin (Raft River Mountains, Utah): Tectonics, v. 34, no. 4, p. 680-693, https://doi.org/10.1002/2014TC003766.","productDescription":"14 p.","startPage":"680","endPage":"693","ipdsId":"IP-062317","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":487575,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014tc003766","text":"Publisher Index Page"},{"id":343413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Raft River Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.5,\n 41.850127648557326\n ],\n [\n -113.25,\n 41.850127648557326\n ],\n [\n -113.25,\n 42\n ],\n [\n -113.5,\n 42\n ],\n [\n -113.5,\n 41.850127648557326\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-09","publicationStatus":"PW","scienceBaseUri":"595f4c41e4b0d1f9f057e358","contributors":{"authors":[{"text":"Methner, Katharina","contributorId":194316,"corporation":false,"usgs":false,"family":"Methner","given":"Katharina","email":"","affiliations":[],"preferred":false,"id":703707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulch, Andreas","contributorId":194317,"corporation":false,"usgs":false,"family":"Mulch","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":703708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teyssier, Christian","contributorId":193450,"corporation":false,"usgs":false,"family":"Teyssier","given":"Christian","email":"","affiliations":[],"preferred":false,"id":703709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wells, Michael L.","contributorId":194318,"corporation":false,"usgs":false,"family":"Wells","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":703710,"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":703706,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gottardi, Raphael 0000-0002-6774-1343","orcid":"https://orcid.org/0000-0002-6774-1343","contributorId":194320,"corporation":false,"usgs":false,"family":"Gottardi","given":"Raphael","email":"","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":703712,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gebelin, Aude","contributorId":194321,"corporation":false,"usgs":false,"family":"Gebelin","given":"Aude","email":"","affiliations":[],"preferred":false,"id":703713,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chamberlain, C. Page","contributorId":194322,"corporation":false,"usgs":false,"family":"Chamberlain","given":"C.","email":"","middleInitial":"Page","affiliations":[],"preferred":false,"id":703714,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70193301,"text":"70193301 - 2015 - Copper toxicity and organic matter: Resiliency of watersheds in the Duluth Complex, Minnesota, USA","interactions":[],"lastModifiedDate":"2018-02-14T11:20:21","indexId":"70193301","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Copper toxicity and organic matter: Resiliency of watersheds in the Duluth Complex, Minnesota, USA","docAbstract":"We estimated copper (Cu) toxicity in surface water with high dissolved organic matter (DOM) for unmined mineralized watersheds of the Duluth Complex using the Biotic Ligand Model (BLM), which evaluates the effect of DOM, cation competition for biologic binding sites, and metal speciation. A sediment-based BLM was used to estimate stream-sediment toxicity; this approach factors in the cumulative effects of multiple metals, incorporation of metals into less bioavailable sulfides, and complexation of metals with organic carbon.
For surface water, the formation of Cu-DOM complexes significantly reduces the amount of Cu available to aquatic organisms. The protective effects of cations, such as calcium (Ca) and magnesium (Mg), competing with Cu to complex with the biotic ligand is likely not as important as DOM in water with high DOM and low hardness. Standard hardness-based water quality criteria (WQC) are probably inadequate for describing Cu toxicity in such waters and a BLM approach may yield more accurate results. Nevertheless, assumptions about relative proportions of humic acid (HA) and fulvic acid (FA) in DOM significantly influence BLM results; the higher the HA fraction, the higher calculated resiliency of the water to Cu toxicity. Another important factor is seasonal variation in water chemistry, with greater resiliency to Cu toxicity during low flow compared to high flow.
Based on generally low total organic carbon and sulfur content, and equivalent metal ratios from total and weak partial extractions, much of the total metal concentration in clastic streambedsediments may be in bioavailable forms, sorbed on clays or hydroxide phases. However, organicrich fine-grained sediment in the numerous wetlands may sequester significant amount of metals, limiting their bioavailability. A high proportion of organic matter in waters and some sediments will play a key role in the resiliency of these watersheds to potential additional metal loads associated with future mining operations.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 10th International Conference on Acid Rock Drainage and IMWA Annual Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Mine Water Association","usgsCitation":"Piatak, N.M., Seal, R.R., Jones, P.M., and Woodruff, L.G., 2015, Copper toxicity and organic matter: Resiliency of watersheds in the Duluth Complex, Minnesota, USA, in Proceedings of the 10th International Conference on Acid Rock Drainage and IMWA Annual Conference, 10 p.","productDescription":"10 p.","ipdsId":"IP-059790","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":351595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347876,"type":{"id":15,"text":"Index Page"},"url":"https://www.imwa.info/imwaconferencesandcongresses/proceedings/293-proceedings-2015.html"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.22610473632811,\n 47.46059403884124\n ],\n [\n -91.58752441406249,\n 47.46059403884124\n ],\n [\n -91.58752441406249,\n 47.92830585913796\n ],\n [\n -92.22610473632811,\n 47.92830585913796\n ],\n [\n -92.22610473632811,\n 47.46059403884124\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeebeee4b0da30c1bfc69c","contributors":{"authors":[{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seal, Robert R. 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":193011,"corporation":false,"usgs":true,"family":"Seal","given":"Robert","email":"rseal@usgs.gov","middleInitial":"R.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":250,"text":"Eastern Water Science Field Team","active":true,"usgs":true}],"preferred":true,"id":718594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Perry M. 0000-0002-6569-5144 pmjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6569-5144","contributorId":2231,"corporation":false,"usgs":true,"family":"Jones","given":"Perry","email":"pmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718596,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148463,"text":"70148463 - 2015 - Lake Ontario benthic prey fish assessment, 2014","interactions":[],"lastModifiedDate":"2020-03-05T12:10:03","indexId":"70148463","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"title":"Lake Ontario benthic prey fish assessment, 2014","docAbstract":"Benthic prey fishes are an important component of the Lake Ontario fish community and serve as vectors that move energy from benthic invertebrates into native and introduced sport fishes. Since the 1970’s, the USGS Lake Ontario Biological Station has assessed benthic fish populations and community dynamics with bottom trawls at depths ranging from 8 m out to depths of 150-225 m along the south and eastern shores of Lake Ontario. From the late 1970’s through the early 2000’s the benthic fish community was dominated by Slimy Sculpin Cottus cognatus, but in 2004 non-native Round Goby Neogobius melanostomus abundance increased and, since then Round Goby have generally been the dominant benthic species. Over the past 10 years the native Deepwater Sculpin Myoxocephalus thompsonii, once considered absent from the lake, have increased. Presently their lake-wide biomass density is equal to, or larger than, Slimy Sculpin. Species-specific assessments found Slimy and Deepwater Sculpin abundance increased slightly in 2014 relative to 2013, while changes in Round Goby abundance differed between spring and fall survey. Recent survey modifications have increased our understanding of benthic prey fish abundance and behavior in Lake Ontario. For instance, increasing the maximum tow depth to 225 m in 2014 improved our understanding of Deepwater Sculpin distribution in this rarely sampled lake habitat.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2014 Annual Report Bureau of Fisheries Lake Ontario Unit and St. Lawrence River Unit to the Great Lakes Fishery Commission’s Lake Ontario Committee","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"conferenceTitle":"Lake Ontario Committee Meeting","conferenceDate":"March 24-25, 2015","conferenceLocation":"Ypsilanti, MI","language":"English","publisher":"New York State Department of Environmental Conservation Division of Fish, Wildlife and Marine Resources","publisherLocation":"Albany, NY","usgsCitation":"Weidel, B., and Walsh, M., 2015, Lake Ontario benthic prey fish assessment, 2014: NYSDEC Lake Ontario Annual Report , 6 p.","productDescription":"6 p.","startPage":"12-16","endPage":"12-21","ipdsId":"IP-064046","costCenters":[{"id":324,"text":"Great Lakes Science 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bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":548329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Maureen 0000-0001-7846-5025 mwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-7846-5025","contributorId":3659,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"mwalsh@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":728180,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191253,"text":"70191253 - 2015 - Hydrothermal, biogenic, and seawater components in metalliferous black shales of the Brooks Range, Alaska: Synsedimentary metal enrichment in a carbonate ramp setting","interactions":[],"lastModifiedDate":"2018-05-07T21:01:00","indexId":"70191253","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrothermal, biogenic, and seawater components in metalliferous black shales of the Brooks Range, Alaska: Synsedimentary metal enrichment in a carbonate ramp setting","docAbstract":"Trace element and Os isotope data for Lisburne Group metalliferous black shales of Middle Mississippian (early Chesterian) age in the Brooks Range of northern Alaska suggest that metals were sourced chiefly from local seawater (including biogenic detritus) but also from externally derived hydrothermal fluids. These black shales are interbedded with phosphorites and limestones in sequences 3 to 35 m thick; deposition occurred mainly on a carbonate ramp during intermittent upwelling under varying redox conditions, from suboxic to anoxic to sulfidic. Deposition of the black shales at ~335 Ma was broadly contemporaneous with sulfide mineralization in the Red Dog and Drenchwater Zn-Pb-Ag deposits, which formed in a distal marginal basin.
Relative to the composition of average black shale, the metalliferous black shales (n = 29) display large average enrichment factors (>10) for Zn (10.1), Cd (11.0), and Ag (20.1). Small enrichments (>2–<10) are shown by V, Cr, Ni, Cu, Mo, Pd, Pt, U, Se, Y, and all rare earth elements except Ce, Nd, and Sm. A detailed stratigraphic profile over 23 m in the Skimo Creek area (central Brooks Range) indicates that samples from at and near the top of the section, which accumulated during a period of major upwelling and is broadly correlative with the stratigraphic levels of the Red Dog and Drenchwater Zn-Pb-Ag deposits, have the highest Zn/TOC (total organic carbon), Cu/TOC, and Tl/TOC ratios for calculated marine fractions (no detrital component) of these three metals.
Average authigenic (detrital-free) contents of Mo, V, U, Ni, Cu, Cd, Pb, Ge, Re, Se, As, Sb, Tl, Pd, and Au show enrichment factors of 4.3 × 103 to 1.2 × 106 relative to modern seawater. Such moderate enrichments, which are common in other metalliferous black shales, suggest wholly marine sources (seawater and biogenic material) for these metals, given similar trends for enrichment factors in organic-rich sediments of modern upwelling zones on the Namibian, Peruvian, and Chilean shelves. The largest enrichment factors for Zn and Ag are much higher (1.4 × 107 and 2.9 × 107, respectively), consistent with an appreciable hydrothermal component. Other metals such as Cu, Pb, and Tl that are concentrated in several black shale samples, and are locally abundant in the Red Dog and Drenchwater Zn-Pb-Ag deposits, may have a partly hydrothermal origin but this cannot be fully established with the available data. Enrichments in Cr (up to 7.8 × 106) are attributed to marine and not hydrothermal processes. The presence in some samples of large enrichments in Eu (up to 6.1 × 107) relative to modern seawater and of small positive Eu anomalies (Eu/Eu* up to 1.12) are considered unrelated to hydrothermal activity, instead being linked to early diagenetic processes within sulfidic pore fluids.
Initial Os isotope ratios (187Os/188Os) calculated for a paleontologically based depositional age of 335 Ma reveal moderately unradiogenic values of 0.24 to 0.88 for four samples of metalliferous black shale. A proxy for the ratio of coeval early Chesterian seawater is provided by initial (187Os/188Os)335 Ma ratios of four unaltered black shales of the coeval Kuna Formation that average 1.08, nearly identical to the initial ratio of 1.06 for modern seawater. Evaluation of possible sources of unradiogenic Os in the metalliferous black shales suggests that the most likely source was mafic igneous rocks that were leached by externally derived hydrothermal fluids. This unradiogenic Os is interpreted to have been leached by deeply circulating hydrothermal fluids in the Kuna basin, followed by venting of the fluids into overlying seawater.
We propose that metal-bearing hydrothermal fluids that formed Zn-Pb-Ag deposits such as Red Dog or Drenchwater vented into seawater in a marginal basin, were carried by upwelling currents onto the margins of a shallow-water carbonate platform, and were then deposited in organic-rich muds, together with seawater- and biogenically derived components, by syngenetic sedimentary processes. Metal concentration in the black shales was promoted by high biologic productivity, sorption onto organic matter, diffusion across redox boundaries, a low sedimentation rate, and availability of H2S in bottom waters and pore fluids.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.110.3.653","usgsCitation":"Slack, J.F., Selby, D., and Dumoulin, J.A., 2015, Hydrothermal, biogenic, and seawater components in metalliferous black shales of the Brooks Range, Alaska: Synsedimentary metal enrichment in a carbonate ramp setting: Economic Geology, v. 110, no. 3, p. 653-675, https://doi.org/10.2113/econgeo.110.3.653.","productDescription":"23 p.","startPage":"653","endPage":"675","ipdsId":"IP-053916","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":346337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Brooks Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -167.2998046875,\n 66.87834504307976\n ],\n [\n -141,\n 66.87834504307976\n ],\n [\n -141,\n 71.71888229713917\n ],\n [\n -167.2998046875,\n 71.71888229713917\n ],\n [\n -167.2998046875,\n 66.87834504307976\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"110","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-24","publicationStatus":"PW","scienceBaseUri":"59d3502ae4b05fe04cc34d73","contributors":{"authors":[{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":711689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selby, David","contributorId":193460,"corporation":false,"usgs":false,"family":"Selby","given":"David","email":"","affiliations":[],"preferred":false,"id":711690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":711691,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70144531,"text":"70144531 - 2015 - Songbirds as sentinels of mercury in terrestrial habitats of eastern North America","interactions":[],"lastModifiedDate":"2018-08-09T12:32:09","indexId":"70144531","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Songbirds as sentinels of mercury in terrestrial habitats of eastern North America","docAbstract":"Mercury (Hg) is a globally distributed environmental contaminant with a variety of deleterious effects in fish, wildlife, and humans. Breeding songbirds may be useful sentinels for Hg across diverse habitats because they can be effectively sampled, have well-defined and small territories, and can integrate pollutant exposure over time and space. We analyzed blood total Hg concentrations from 8,446 individuals of 102 species of songbirds, sampled on their breeding territories across 161 sites in eastern North America [geometric mean Hg concentration = 0.25 μg/g wet weight (ww), range <0.01–14.60 μg/g ww]. Our records span an important time period—the decade leading up to implementation of the USEPA Mercury and Air Toxics Standards, which will reduce Hg emissions from coal-fired power plants by over 90 %. Mixed-effects modeling indicated that habitat, foraging guild, and age were important predictors of blood Hg concentrations across species and sites. Blood Hg concentrations in adult invertebrate-eating songbirds were consistently higher in wetland habitats (freshwater or estuarine) than upland forests. Generally, adults exhibited higher blood Hg concentrations than juveniles within each habitat type. We used model results to examine species-specific differences in blood Hg concentrations during this time period, identifying potential Hg sentinels in each region and habitat type. Our results present the most comprehensive assessment of blood Hg concentrations in eastern songbirds to date, and thereby provide a valuable framework for designing and evaluating risk assessment schemes using sentinel songbird species in the time after implementation of the new atmospheric Hg standards.
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Orono","active":true,"usgs":false}],"preferred":false,"id":543693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hoskins, Bart","contributorId":139996,"corporation":false,"usgs":false,"family":"Hoskins","given":"Bart","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":543694,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lane, Oksana P.","contributorId":139997,"corporation":false,"usgs":false,"family":"Lane","given":"Oksana","email":"","middleInitial":"P.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":543695,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sauer, Amy","contributorId":139998,"corporation":false,"usgs":false,"family":"Sauer","given":"Amy","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 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Great Plains using satellite vegetation index and site environmental variables","docAbstract":"Switchgrass is being evaluated as a potential feedstock source for cellulosic biofuels and is being cultivated in several regions of the United States. The recent availability of switchgrass land cover maps derived from the National Agricultural Statistics Service cropland data layer for the conterminous United States provides an opportunity to assess the environmental conditions of switchgrass over large areas and across different geographic locations. The main goal of this study is to develop a data-driven multiple regression switchgrass productivity model and identify the optimal climate and environment conditions for the highly productive switchgrass in the Great Plains (GP). Environmental and climate variables used in the study include elevation, soil organic carbon, available water capacity, climate, and seasonal weather. Satellite-derived growing season averaged Normalized Difference Vegetation Index (GSN) was used as a proxy for switchgrass productivity. Multiple regression analyses indicate that there are strong correlations between site environmental variables and switchgrass productivity (r = 0.95). Sufficient precipitation and suitable temperature during the growing season (i.e., not too hot or too cold) are favorable for switchgrass growth. Elevation and soil characteristics (e.g., soil available water capacity) are also an important factor impacting switchgrass productivity. An anticipated switchgrass biomass productivity map for the entire GP based on site environmental and climate conditions and switchgrass productivity model was generated. Highly productive switchgrass areas are mainly located in the eastern part of the GP. Results from this study can help land managers and biofuel plant investors better understand the general environmental and climate conditions influencing switchgrass growth and make optimal land use decisions regarding switchgrass development in the GP.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2014.09.013","usgsCitation":"Gu, Y., Wylie, B.K., and Howard, D., 2015, Estimating switchgrass productivity in the Great Plains using satellite vegetation index and site environmental variables: Ecological Indicators, v. 48, p. 472-476, https://doi.org/10.1016/j.ecolind.2014.09.013.","productDescription":"5 p.","startPage":"472","endPage":"476","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046430","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.3564453125,\n 25.918526162075153\n ],\n [\n -115.3564453125,\n 49.009050809382046\n ],\n [\n -89.9560546875,\n 49.009050809382046\n ],\n [\n -89.9560546875,\n 25.918526162075153\n ],\n [\n -115.3564453125,\n 25.918526162075153\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54faddb9e4b02419550db6d2","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":409,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":541913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Daniel M. 0000-0002-7563-7538 dhoward@usgs.gov","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":4431,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel M.","email":"dhoward@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541912,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70171353,"text":"70171353 - 2015 - Monitoring Eastern Spadefoot (Scaphiopus holbrookii) response to weather with the use of a passive integrated transponder (PIT) system","interactions":[],"lastModifiedDate":"2016-05-30T12:51:00","indexId":"70171353","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring Eastern Spadefoot (Scaphiopus holbrookii) response to weather with the use of a passive integrated transponder (PIT) system","docAbstract":"Eastern Spadefoots (Scaphiopus holbrookii) are probably one of the least-understood amphibian species in the United States. In New England, populations are localized and it is likely that some populations go undocumented because of the species' cryptic habits. We used passive integrated transponders (PIT tags) to monitor burrow emergence with the aid of continuously running, stationary (but portable) PIT tag readers. We monitored the activity of individual Eastern Spadefoots by placing circular antennae directly over burrows of PIT tag-implanted individuals. We monitored 18 Eastern Spadefoots from 1 to 84 nights in the spring, summer, and fall of 2009–2011. Our results indicate that, on average, Eastern Spadefoots emerged on 43% of the nights that they were monitored. Nights when Eastern Spadefoots emerged were warmer and more humid than nonemergence nights. Eastern Spadefoots were also much more likely to emerge on a given night if they had emerged the night before. Our results have improved the understanding of Eastern Spadefoot burrow-emergence patterns in the northeast region. Our findings may considerably enhance the prospect of employing nocturnal visual encounter surveys as a method for monitoring known, and detecting previously undocumented, populations of this species.
","language":"English","publisher":"The Society for the Study of Amphibians and Reptiles","doi":"10.1670/12-230","usgsCitation":"Ryan, K.J., Calhoun, A.J., Timm, B.C., and Zydlewski, J.D., 2015, Monitoring Eastern Spadefoot (Scaphiopus holbrookii) response to weather with the use of a passive integrated transponder (PIT) system: Journal of Herpetology, v. 49, no. 2, p. 257-263, https://doi.org/10.1670/12-230.","productDescription":"7 p.","startPage":"257","endPage":"263","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039475","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d65e7e4b07e28b66848ab","contributors":{"authors":[{"text":"Ryan, Kevin J.","contributorId":169710,"corporation":false,"usgs":false,"family":"Ryan","given":"Kevin","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":630799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calhoun, Aram J.K.","contributorId":93829,"corporation":false,"usgs":false,"family":"Calhoun","given":"Aram","email":"","middleInitial":"J.K.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":630800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Timm, Brad C.","contributorId":169711,"corporation":false,"usgs":false,"family":"Timm","given":"Brad","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":630801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":630697,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192579,"text":"70192579 - 2015 - Net ecosystem production and organic carbon balance of U.S. East Coast estuaries: A synthesis approach","interactions":[],"lastModifiedDate":"2017-10-26T14:30:09","indexId":"70192579","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Net ecosystem production and organic carbon balance of U.S. East Coast estuaries: A synthesis approach","docAbstract":"Net ecosystem production (NEP) and the overall organic carbon budget for the estuaries along the East Coast of the United States are estimated. We focus on the open estuarine waters, excluding the fringing wetlands. We developed empirical models relating NEP to loading ratios of dissolved inorganic nitrogen to total organic carbon, and carbon burial in the sediment to estuarine water residence time and total nitrogen input across the landward boundary. Output from a data-constrained water quality model was used to estimate inputs of total nitrogen and organic carbon to the estuaries across the landward boundary, including fluvial and tidal-wetland sources. Organic carbon export from the estuaries to the continental shelf was computed by difference, assuming steady state. Uncertainties in the budget were estimated by allowing uncertainties in the supporting model relations. Collectively, U.S. East Coast estuaries are net heterotrophic, with the area-integrated NEP of −1.5 (−2.8, −1.0) Tg C yr−1 (best estimate and 95% confidence interval) and area-normalized NEP of −3.2 (−6.1, −2.3) mol C m−2 yr−1. East Coast estuaries serve as a source of organic carbon to the shelf, exporting 3.4 (2.0, 4.3) Tg C yr−1 or 7.6 (4.4, 9.5) mol C m−2 yr−1. Organic carbon inputs from fluvial and tidal-wetland sources for the region are estimated at 5.4 (4.6, 6.5) Tg C yr−1 or 12 (10, 14) mol C m−2 yr−1 and carbon burial in the open estuarine waters at 0.50 (0.33, 0.78) Tg C yr−1 or 1.1 (0.73, 1.7) mol C m−2 yr−1. Our results highlight the importance of estuarine systems in the overall coastal budget of organic carbon, suggesting that in the aggregate, U.S. East Coast estuaries assimilate (via respiration and burial) ~40% of organic carbon inputs from fluvial and tidal-wetland sources and allow ~60% to be exported to the shelf.
","language":"English","publisher":"AGU","doi":"10.1002/2013GB004736","usgsCitation":"Herrmann, M., Najjar, R., Kemp, W.M., Alexander, R.B., Boyer, E.W., Cai, W., Griffith, P.C., Kroeger, K.D., McCallister, S.L., and Smith, R.A., 2015, Net ecosystem production and organic carbon balance of U.S. East Coast estuaries: A synthesis approach: Global Biogeochemical Cycles, v. 29, no. 1, p. 96-111, https://doi.org/10.1002/2013GB004736.","productDescription":"16 p.","startPage":"96","endPage":"111","ipdsId":"IP-051697","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":347491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.9287109375,\n 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University","active":true,"usgs":false}],"preferred":false,"id":716313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Najjar, Raymond G.","contributorId":198520,"corporation":false,"usgs":false,"family":"Najjar","given":"Raymond G.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":716314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kemp, W. Michael","contributorId":198521,"corporation":false,"usgs":false,"family":"Kemp","given":"W.","email":"","middleInitial":"Michael","affiliations":[{"id":35269,"text":"Horn Point Laboratory, University of Maryland Center for Environmental Science, Cambridge, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":716315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Richard B. 0000-0001-9166-0626 ralex@usgs.gov","orcid":"https://orcid.org/0000-0001-9166-0626","contributorId":541,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","email":"ralex@usgs.gov","middleInitial":"B.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":716316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyer, Elizabeth W.","contributorId":44659,"corporation":false,"usgs":false,"family":"Boyer","given":"Elizabeth","email":"","middleInitial":"W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":716317,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cai, Wei-Jun","contributorId":176402,"corporation":false,"usgs":false,"family":"Cai","given":"Wei-Jun","email":"","affiliations":[{"id":27264,"text":"University of Delaware, Newark, DE","active":true,"usgs":false}],"preferred":false,"id":716318,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Griffith, Peter C.","contributorId":198522,"corporation":false,"usgs":false,"family":"Griffith","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":35257,"text":"Carbon Cycle and Ecosystems Office, Sigma Space/NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":716319,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":716428,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McCallister, S. Leigh","contributorId":198523,"corporation":false,"usgs":false,"family":"McCallister","given":"S.","email":"","middleInitial":"Leigh","affiliations":[{"id":12991,"text":"Department of Biology, Virginia Commonwealth University","active":true,"usgs":false}],"preferred":false,"id":716429,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, Richard A. 0000-0003-2117-2269 rsmith1@usgs.gov","orcid":"https://orcid.org/0000-0003-2117-2269","contributorId":580,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rsmith1@usgs.gov","middleInitial":"A.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":716430,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70135743,"text":"70135743 - 2015 - Use of flux and morphologic sediment budgets for sandbar monitoring on the Colorado River in Marble Canyon, Arizona","interactions":[],"lastModifiedDate":"2018-04-23T13:12:06","indexId":"70135743","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Use of flux and morphologic sediment budgets for sandbar monitoring on the Colorado River in Marble Canyon, Arizona","docAbstract":"The magnitude and pfattern of streamflow and sediment supply of the Colorado River in Grand Canyon (Figure 1) has been affected by the existence and operations of Glen Canyon Dam since filling of Lake Powell Reservoir began in March 1963. In the subsequent 30 years, fine sediment was scoured from the downstream channel (Topping et al., 2000; Grams et al., 2007), resulting in a decline in the number and size of sandbars in the eastern half of Grand Canyon National Park (Wright et al., 2005; Schmidt et al., 2004). The Glen Canyon Dam Adaptive Management Program (GCDAMP) administered by the U.S. Department of Interior oversees efforts to manage the Colorado River ecosystem downstream from Glen Canyon Dam. One of the goals of the GCDAMP is to maintain and increase the number and size of sandbars in this context of a limited sand supply. Management actions to benefit sandbars have included curtailment of daily streamflow fluctuations, which occur for hydropower generation, and implementation of controlled floods, also called high-flow experiments.
Studies of controlled floods, defined as intentional releases that exceed the maximum discharge capacity of the Glen Canyon Dam powerplant, implemented between 1996 and 2008, have demonstrated that these events cause increases in sandbar size throughout Marble and Grand Canyons (Hazel et al., 2010; Schmidt and Grams, 2011; Mueller et al., 2014), although the magnitude of response is spatially variable (Hazel et al., 1999; 2010). Controlled floods may build some sandbars at the expense of erosion of sand from other, upstream, sandbars (Schmidt, 1999). To increase the frequency and effectiveness of sandbar building, the U.S. Department of Interior adopted a “high-flow experimental protocol” to implement controlled floods regularly under conditions of enriched sand supply (U.S. Department of Interior, 2012). Because the supply of sand available to build sandbars has been substantially reduced by Glen Canyon Dam (Topping et al., 2000) and depends entirely on infrequent tributary floods, monitoring of both sandbars and gross sand storage (the sand budget) is required to evaluate whether the high-flow protocol is having the intended effect of increasing sandbar size without progressively depleting sand from the system.
There are many challenges associated with monitoring sand storage and active sand deposits in a river system as large and complex as the 450-km segment of the Colorado River between Glen Canyon Dam and Lake Mead. Previous studies have demonstrated the temporal variation in sand storage associated with sand-supply limitation (Topping et al., 2000) and the spatial variability in the amount of sand stored in eddies and the channel associated with channel hydraulics (Grams et al., 2013). In this study, we report on companion measurements of sand flux and morphologic change to quantify, for the first time, the relation between changes in sand mass balance, changes in within-channel sand storage, and changes in sandbars comprehensively for a 50-km river segment of the Colorado River in lower Marble Canyon within Grand Canyon National Park.
We show that, when measured over the scale of a 50-km river segment, these complementary measurements of the sand budget agree within measurement uncertainty and provide a rare opportunity to integrate the temporally rich sand-flux record with the spatially rich morphologic measurements. Both methods show that sediment was evacuated from lower Marble Canyon over the 3-year study period. The flux-based budget shows the timing of changes in storage relative to dam-release patterns, while the morphologic measurements depict the spatial distribution of erosion and deposition among different depositional settings.
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