{"pageNumber":"578","pageRowStart":"14425","pageSize":"25","recordCount":69035,"records":[{"id":70068449,"text":"ofr20141005 - 2014 - Bathymetric surveys and area/capacity tables of water-supply reservoirs for the city of Cameron, Missouri, July 2013","interactions":[],"lastModifiedDate":"2014-01-21T14:31:49","indexId":"ofr20141005","displayToPublicDate":"2014-01-21T14:16:00","publicationYear":"2014","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":"2014-1005","title":"Bathymetric surveys and area/capacity tables of water-supply reservoirs for the city of Cameron, Missouri, July 2013","docAbstract":"Years of sediment accumulation and dry conditions in recent years have led to the decline of water levels and capacities for many water-supply reservoirs in Missouri, and have caused renewed interest in modernizing outdated area/capacity tables for these reservoirs. The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, surveyed the bathymetry of the four water-supply reservoirs used by the city of Cameron, Missouri, in July 2013. The data were used to provide water managers with area/capacity tables and bathymetric maps of the reservoirs at the time of the surveys.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141005","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Huizinga, R.J., 2014, Bathymetric surveys and area/capacity tables of water-supply reservoirs for the city of Cameron, Missouri, July 2013: U.S. Geological Survey Open-File Report 2014-1005, iv, 15 p., https://doi.org/10.3133/ofr20141005.","productDescription":"iv, 15 p.","numberOfPages":"19","onlineOnly":"Y","ipdsId":"IP-052176","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":281331,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1005/"},{"id":281335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141005.jpg"},{"id":281334,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1005/pdf/of2014-1005.pdf"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Missouri","city":"Cameron","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.319842,39.724343 ], [ -94.319842,39.785227 ], [ -94.209326,39.785227 ], [ -94.209326,39.724343 ], [ -94.319842,39.724343 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4ef1e4b0b290850f2660","contributors":{"authors":[{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488011,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70073330,"text":"70073330 - 2014 - Lake Louise Water (USGS47): A new isotopic reference water for stable hydrogen and oxygen isotope measurements","interactions":[],"lastModifiedDate":"2014-01-21T12:58:35","indexId":"70073330","displayToPublicDate":"2014-01-21T12:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Lake Louise Water (USGS47): A new isotopic reference water for stable hydrogen and oxygen isotope measurements","docAbstract":"\"RATIONALE: Because of the paucity of isotopic reference waters for daily use, a new secondary isotopic reference material has been prepared from Lake Louise water from Alberta, Canada for international distribution. \nMOTHODS: This water was filtered, homogenized, loaded into glass ampoules, sealed with a torch, autoclaved to eliminate biological activity, and measured by dual-inlet isotope-ratio mass spectrometry. This isotopic reference water is available by the case of 144 glass ampoules containing 5 mL of water in each ampoule.\nRESULTS: The δ2H and δ18O values of this reference water are –150.2 ± 0.5 ‰ and –19.80 ± 0.02 ‰, respectively, relative to VSMOW on scales normalized such that the δ2H and δ18O values of SLAP reference water are, respectively, –428 and –55.5 ‰. Each uncertainty is an estimated expanded uncertainty (U = 2uc) about the reference value that provides an interval that has about a 95-percent probability of encompassing the true value. \nCONCLUSION: This isotopic reference material, designated as USGS47, is intended as one of two isotopic reference waters for daily normalization of stable hydrogen and stable oxygen isotopic analysis of water with a mass spectrometer or a laser absorption spectrometer. \n\"","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Rapid Communications in Mass Spectrometry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/rcm.6789","usgsCitation":"Qi, H., Lorenz, J.M., Coplen, T.B., Tarbox, L.V., Mayer, B., and Taylor, S., 2014, Lake Louise Water (USGS47): A new isotopic reference water for stable hydrogen and oxygen isotope measurements: Rapid Communications in Mass Spectrometry, v. 28, no. 4, p. 351-354, https://doi.org/10.1002/rcm.6789.","productDescription":"5 p.","startPage":"351","endPage":"354","ipdsId":"IP-052021","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":281133,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rcm.6789"},{"id":281324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-12-26","publicationStatus":"PW","scienceBaseUri":"52df97fae4b0d7b3a14e1aac","contributors":{"authors":[{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":488581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, Jennifer M. 0000-0002-5826-7264 jlorenz@usgs.gov","orcid":"https://orcid.org/0000-0002-5826-7264","contributorId":3558,"corporation":false,"usgs":true,"family":"Lorenz","given":"Jennifer","email":"jlorenz@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":488583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":488582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tarbox, Lauren V. 0000-0002-4126-1851 ltarbox@usgs.gov","orcid":"https://orcid.org/0000-0002-4126-1851","contributorId":5319,"corporation":false,"usgs":true,"family":"Tarbox","given":"Lauren","email":"ltarbox@usgs.gov","middleInitial":"V.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":488584,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mayer, Bernhard","contributorId":94972,"corporation":false,"usgs":true,"family":"Mayer","given":"Bernhard","email":"","affiliations":[],"preferred":false,"id":488585,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, Steve","contributorId":95802,"corporation":false,"usgs":true,"family":"Taylor","given":"Steve","email":"","affiliations":[],"preferred":false,"id":488586,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70073345,"text":"70073345 - 2014 - Evaluating the efficiency of environmental monitoring programs","interactions":[],"lastModifiedDate":"2014-01-28T08:37:06","indexId":"70073345","displayToPublicDate":"2014-01-21T10:51:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the efficiency of environmental monitoring programs","docAbstract":"Statistical uncertainty analyses can be used to improve the efficiency of environmental monitoring, allowing sampling designs to maximize information gained relative to resources required for data collection and analysis. In this paper, we illustrate four methods of data analysis appropriate to four types of environmental monitoring designs. To analyze a long-term record from a single site, we applied a general linear model to weekly stream chemistry data at Biscuit Brook, NY, to simulate the effects of reducing sampling effort and to evaluate statistical confidence in the detection of change over time. To illustrate a detectable difference analysis, we analyzed a one-time survey of mercury concentrations in loon tissues in lakes in the Adirondack Park, NY, demonstrating the effects of sampling intensity on statistical power and the selection of a resampling interval. To illustrate a bootstrapping method, we analyzed the plot-level sampling intensity of forest inventory at the Hubbard Brook Experimental Forest, NH, to quantify the sampling regime needed to achieve a desired confidence interval. Finally, to analyze time-series data from multiple sites, we assessed the number of lakes and the number of samples per year needed to monitor change over time in Adirondack lake chemistry using a repeated-measures mixed-effects model. Evaluations of time series and synoptic long-term monitoring data can help determine whether sampling should be re-allocated in space or time to optimize the use of financial and human resources.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Indicators","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2013.12.010","usgsCitation":"Levine, C.R., Yanai, R.D., Lampman, G.G., Burns, D.A., Driscoll, C.T., Lawrence, G.B., Lynch, J., and Schoch, N., 2014, Evaluating the efficiency of environmental monitoring programs: Ecological Indicators, v. 39, p. 94-101, https://doi.org/10.1016/j.ecolind.2013.12.010.","productDescription":"8 p.","startPage":"94","endPage":"101","numberOfPages":"8","ipdsId":"IP-050636","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":473212,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2013.12.010","text":"Publisher Index Page"},{"id":281315,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2013.12.010"},{"id":281316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52df97f8e4b0d7b3a14e1aa2","contributors":{"authors":[{"text":"Levine, Carrie R.","contributorId":106009,"corporation":false,"usgs":true,"family":"Levine","given":"Carrie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":488618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yanai, Ruth D.","contributorId":59720,"corporation":false,"usgs":true,"family":"Yanai","given":"Ruth","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":488615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lampman, Gregory G.","contributorId":26970,"corporation":false,"usgs":true,"family":"Lampman","given":"Gregory","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":488613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Driscoll, Charles T.","contributorId":35418,"corporation":false,"usgs":true,"family":"Driscoll","given":"Charles","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":488614,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488611,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lynch, Jason","contributorId":97001,"corporation":false,"usgs":true,"family":"Lynch","given":"Jason","affiliations":[],"preferred":false,"id":488616,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schoch, Nina","contributorId":101988,"corporation":false,"usgs":true,"family":"Schoch","given":"Nina","email":"","affiliations":[],"preferred":false,"id":488617,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70179213,"text":"70179213 - 2014 - Lithologic influences on groundwater recharge through incised glacial till from profile to regional scales: Evidence from glaciated Eastern Nebraska","interactions":[],"lastModifiedDate":"2016-12-22T09:21:02","indexId":"70179213","displayToPublicDate":"2014-01-21T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Lithologic influences on groundwater recharge through incised glacial till from profile to regional scales: Evidence from glaciated Eastern Nebraska","docAbstract":"Variability in sediment hydraulic properties associated with landscape depositional and erosional features can influence groundwater recharge processes by affecting soil-water storage and transmission. This study considers recharge to aquifers underlying river-incised glaciated terrain where the distribution of clay-rich till is largely intact in upland locations but has been removed by alluvial erosion in stream valleys. In a stream-dissected glacial region in eastern Nebraska (Great Plains region of the United States), recharge estimates were developed for nested profile, aquifer, and regional scales using unsaturated zone profile measurements (matric potentials, Cl- and 3H), groundwater tracers (CFC-12 and SF6), and a remote sensing-assisted water balance model. Results show a consistent influence of till lithology on recharge rates across nested spatial scales despite substantial uncertainty in all recharge estimation methods, suggesting that minimal diffuse recharge occurs through upland glacial till lithology whereas diffuse recharge occurs in river valleys where till is locally absent. Diffuse recharge is estimated to account for a maximum of 61% of total recharge based on comparison of diffuse recharge estimated from the unsaturated zone (0-43 mm yr-1) and total recharge estimated from groundwater tracers (median 58 mm yr-1) and water balance modeling (median 56 mm yr-1). 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gvsteele@usgs.gov","contributorId":783,"corporation":false,"usgs":true,"family":"Steele","given":"Gregory","email":"gvsteele@usgs.gov","middleInitial":"V.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":656408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nasta, Paolo","contributorId":177626,"corporation":false,"usgs":false,"family":"Nasta","given":"Paolo","email":"","affiliations":[],"preferred":false,"id":656410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Szilagyi, Jozsef","contributorId":177627,"corporation":false,"usgs":false,"family":"Szilagyi","given":"Jozsef","email":"","affiliations":[],"preferred":false,"id":656434,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047920,"text":"70047920 - 2014 - Response of diatom and silicoflagellate assemblages in the central Gulf of California to regional climate change during the past 55 kyrs","interactions":[],"lastModifiedDate":"2014-03-14T11:39:37","indexId":"70047920","displayToPublicDate":"2014-01-17T08:36:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Response of diatom and silicoflagellate assemblages in the central Gulf of California to regional climate change during the past 55 kyrs","docAbstract":"

High-resolution studies of diatoms and silicoflagellates of the past 55 kyrs in cores MD02-2517/2515 from the central Gulf of California (GoC) reveal profound changes in GoC surface waters. Roperia tesselata, a diatom proxy for late winter–early spring upwelling, and Dictyocha stapedia, a subtropical silicoflagellate indicative of GoC sea surface temperatures (SSTs) > 24 °C, are common during the Holocene but rare during Marine Isotope Stage (MIS) 2 and most of MIS 3, a relationship that likely reflects a more northerly position of the North Pacific High (NPH) during the Holocene. In contrast during most of MIS 2 (~ 27–15 ka), the persistent presence of Distephanus speculum, a silicoflagellate associated with SSTs < 16°, suggests that cold, low salinity waters penetrated into the GoC, consistent with southward displacement of the NPH.

\n
\n

During MIS 3 (~ 55–27 ka), increased dominance of Azpeitia nodulifera (diatom) implies that stratified, tropical waters were present year round, whereas silicoflagellate assemblages suggest that stratified tropical conditions alternated with more productive, upwelling conditions on millennial timescales. Reduced biosiliceous productivity during Heinrich events likely reflected a reduction in both surface water nutrient levels and in the strength of northwest winds due to a weakened and more southerly NPH. Conversely, enhanced biosiliceous productivity during MIS 3 interstadials was probably linked to heightened nutrient levels and a strengthened NPH. Abrupt relative abundance increases of the silicoflagellate, Dictyocha aculeata, approximate the termination of MIS3 Heinrich events and may signal times when nutrient-rich deep waters associated with the resumption of enhanced Atlantic Meridional Overturning Circulation penetrated into the central Gulf.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Micropaleontology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2014.02.004","usgsCitation":"Barron, J.A., Bukry, D., and Cheshire, H., 2014, Response of diatom and silicoflagellate assemblages in the central Gulf of California to regional climate change during the past 55 kyrs: Marine Micropaleontology, v. 108, p. 28-40, https://doi.org/10.1016/j.marmicro.2014.02.004.","productDescription":"13 p.","startPage":"28","endPage":"40","numberOfPages":"13","ipdsId":"IP-049595","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":282514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282513,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marmicro.2014.02.004"}],"country":"United States","state":"California","otherGeospatial":"Gulf Of California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,5.555555555555556E-4 ], [ -0.01611111111111111,8.333333333333334E-4 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.016666666666666666,5.555555555555556E-4 ], [ -0.01611111111111111,5.555555555555556E-4 ] ] ] } } ] }","volume":"108","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd70afe4b0b29085107307","contributors":{"authors":[{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":483291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bukry, David 0000-0003-4540-890X","orcid":"https://orcid.org/0000-0003-4540-890X","contributorId":30980,"corporation":false,"usgs":true,"family":"Bukry","given":"David","affiliations":[],"preferred":false,"id":483293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheshire, Heather","contributorId":11111,"corporation":false,"usgs":true,"family":"Cheshire","given":"Heather","email":"","affiliations":[],"preferred":false,"id":483292,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048326,"text":"70048326 - 2014 - Transgenic zebrafish reveal tissue-specific differences in estrogen signaling in response to environmental water samples","interactions":[],"lastModifiedDate":"2018-09-14T15:56:56","indexId":"70048326","displayToPublicDate":"2014-01-16T10:17:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1542,"text":"Environmental Health Perspectives","active":true,"publicationSubtype":{"id":10}},"title":"Transgenic zebrafish reveal tissue-specific differences in estrogen signaling in response to environmental water samples","docAbstract":"Background: Environmental endocrine disruptors (EED) are exogenous chemicals that mimic endogenous hormones, such as estrogens. Previous studies using a zebrafish transgenic reporter demonstrated that the EEDs bisphenol A and genistein preferentially activate estrogen receptors (ER) in the larval heart compared to the liver. However, it was not known whether the transgenic zebrafish reporter was sensitive enough to detect estrogens from environmental samples, whether environmental estrogens would exhibit similar tissue-specific effects as BPA and genistein or why some compounds preferentially target receptors in the heart.\n\nMethods: We tested surface water samples using a transgenic zebrafish reporter with tandem estrogen response elements driving green fluorescent protein expression (5xERE:GFP). Reporter activation was colocalized with tissue-specific expression of estrogen receptor genes by RNA in situ hybridization.\n\nResults: Selective patterns of ER activation were observed in transgenic fish exposed to river water samples from the Mid-Atlantic United States, with several samples preferentially activating receptors in embryonic and larval heart valves. We discovered that tissue-specificity in ER activation is due to differences in the expression of estrogen receptor subtypes. ERα is expressed in developing heart valves but not in the liver, whereas ERβ2 has the opposite profile. Accordingly, subtype-specific ER agonists activate the reporter in either the heart valves or the liver.\n\nConclusion: The use of 5xERE:GFP transgenic zebrafish has revealed an unexpected tissue-specific difference in the response to environmentally relevant estrogenic compounds. Exposure to estrogenic EEDs in utero is associated with adverse health effects, with the potentially unanticipated consequence of targeting developing heart valves.","language":"English","publisher":"National Institute of Environmental Health Sciences","doi":"10.1289/ehp.1307329","usgsCitation":"Gorelick, D.A., Iwanowicz, L., Hung, A.L., Blazer, V., and Halpern, M.E., 2014, Transgenic zebrafish reveal tissue-specific differences in estrogen signaling in response to environmental water samples: Environmental Health Perspectives, v. 122, no. 4, p. 356-362, https://doi.org/10.1289/ehp.1307329.","productDescription":"26 p.","startPage":"356","endPage":"362","numberOfPages":"26","onlineOnly":"N","ipdsId":"IP-049283","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":473218,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1289/ehp.1307329","text":"Publisher Index Page"},{"id":281150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281149,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1289/ehp.1307329"}],"country":"United States","state":"New Jersey;Pennsylvania;Virginia;West Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.6517,36.7872 ], [ -80.6517,41.6321 ], [ -74.261,41.6321 ], [ -74.261,36.7872 ], [ -80.6517,36.7872 ] ] ] } } ] }","volume":"122","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d900cde4b08fdd5281486d","contributors":{"authors":[{"text":"Gorelick, Daniel A.","contributorId":34044,"corporation":false,"usgs":true,"family":"Gorelick","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Luke R.","contributorId":11902,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[],"preferred":false,"id":484323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hung, Alice L.","contributorId":56554,"corporation":false,"usgs":true,"family":"Hung","given":"Alice","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":484322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halpern, Marnie E.","contributorId":86688,"corporation":false,"usgs":true,"family":"Halpern","given":"Marnie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":484326,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70102289,"text":"70102289 - 2014 - Air-water gas exchange and CO2 flux in a mangrove-dominated estuary","interactions":[],"lastModifiedDate":"2014-04-22T10:10:27","indexId":"70102289","displayToPublicDate":"2014-01-16T09:56:31","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Air-water gas exchange and CO2 flux in a mangrove-dominated estuary","docAbstract":"Mangrove forests are highly productive ecosystems, but the fate of mangrove-derived carbon remains uncertain. Part of that uncertainty stems from the fact that gas transfer velocities in mangrove-surrounded waters are not well determined, leading to uncertainty in air-water CO2 fluxes. Two SF6 tracer release experiments were conducted to determine gas transfer velocities (k(600) = 8.3 ± 0.4 and 8.1 ± 0.6 cm h−1), along with simultaneous measurements of pCO2 to determine the air-water CO2 fluxes from Shark River, Florida (232.11 ± 23.69 and 171.13 ± 20.28 mmol C m−2 d−1), an estuary within the largest contiguous mangrove forest in North America. The gas transfer velocity results are consistent with turbulent kinetic energy dissipation measurements, indicating a higher rate of turbulence and gas exchange than predicted by commonly used wind speed/gas exchange parameterizations. The results have important implications for carbon fluxes in mangrove ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013GL058785","usgsCitation":"Ho, D., Ferrón, S., Engel, V.C., Larsen, L., and Barr, J.G., 2014, Air-water gas exchange and CO2 flux in a mangrove-dominated estuary: Geophysical Research Letters, v. 41, no. 1, p. 108-113, https://doi.org/10.1002/2013GL058785.","productDescription":"6 p.","startPage":"108","endPage":"113","numberOfPages":"6","ipdsId":"IP-052002","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473219,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013gl058785","text":"Publisher Index Page"},{"id":286486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286484,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013GL058785"}],"country":"United States","state":"Florida","otherGeospatial":"Shark River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.6256,24.85 ], [ -81.6256,25.998 ], [ -80.2514,25.998 ], [ -80.2514,24.85 ], [ -81.6256,24.85 ] ] ] } } ] }","volume":"41","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-09","publicationStatus":"PW","scienceBaseUri":"53578f60e4b0938066bc81b3","contributors":{"authors":[{"text":"Ho, David T.","contributorId":97825,"corporation":false,"usgs":true,"family":"Ho","given":"David T.","affiliations":[],"preferred":false,"id":492892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferrón, Sara","contributorId":39700,"corporation":false,"usgs":true,"family":"Ferrón","given":"Sara","affiliations":[],"preferred":false,"id":492889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engel, Victor C. 0000-0002-3858-7308 vengel@usgs.gov","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":2329,"corporation":false,"usgs":true,"family":"Engel","given":"Victor","email":"vengel@usgs.gov","middleInitial":"C.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":492888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larsen, Laurel G.","contributorId":42111,"corporation":false,"usgs":true,"family":"Larsen","given":"Laurel G.","affiliations":[],"preferred":false,"id":492890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barr, Jordan G.","contributorId":85809,"corporation":false,"usgs":false,"family":"Barr","given":"Jordan","email":"","middleInitial":"G.","affiliations":[{"id":13531,"text":"South Florida Natural Resource Center, Everglades National Park","active":true,"usgs":false}],"preferred":false,"id":492891,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70049033,"text":"ofr20131271 - 2014 - Pesticides and nitrate in groundwater underlying citrus croplands, Lake Wales Ridge, central Florida, 1999-2005.","interactions":[],"lastModifiedDate":"2014-01-16T08:34:05","indexId":"ofr20131271","displayToPublicDate":"2014-01-16T08:18:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1271","title":"Pesticides and nitrate in groundwater underlying citrus croplands, Lake Wales Ridge, central Florida, 1999-2005.","docAbstract":"This report summarizes pesticide and nitrate (as nitrogen) results from quarterly sampling of 31 surficial-aquifer wells in the Lake Wales Ridge Monitoring Network during April 1999 through January 2005. The wells, located adjacent to citrus orchards and used for monitoring only, were generally screened (sampled) within 5 to 40 feet of the water table. Of the 44 citrus pesticides and pesticide degradates analyzed, 17 were detected in groundwater samples. Parent pesticides and degradates detected in quarterly groundwater samples, ordered by frequency of detection, included norflurazon, demethyl norflurazon, simazine, diuron, bromacil, aldicarb sulfone, aldicarb sulfoxide, deisopropylatrazine (DIA), imidacloprid, metalaxyl, thiazopyr monoacid, oxamyl, and aldicarb. Reconnaissance sampling of five Network wells yielded detection of four additional pesticide degradates (hydroxysimazine, didealkylatrazine, deisopropylhydroxyatrazine, and hydroxyatrazine). The highest median concentration values per well, based on samples collected during the 1999–2005 period (n=14 to 24 samples per well), included 3.05 µg/L (micrograms per liter) (simazine), 3.90 µg/L (diuron), 6.30 µg/L (aldicarb sulfone), 6.85 µg/L (aldicarb sulfoxide), 22.0 µg/L (demethyl norflurazon), 25.0 µg/ (norflurazon), 89 µg/ (bromacil), and 25.5 mg/L (milligrams per liter) (nitrate). Nitrate concentrations exceeded the 10 mg/L (as nitrogen) drinking water standard in one or more groundwater samples from 28 of the wells, and the median nitrate concentration among these wells was 14 mg/L. Sampled groundwater pesticide concentrations exceeded Florida’s health-guidance benchmarks for aldicarb sulfoxide and aldicarb sulfone (4 wells), the sum of aldicarb and its degradates (6 wells), simazine (2 wells), the sum of simazine and DIA (3 wells), diuron (2 wells), bromacil (1 well), and the sum of norflurazon and demethyl norflurazon (1 well). The magnitude of fluctuations in groundwater pesticide concentrations varied between wells and between pesticide compounds. Of the 10 pesticide compounds detected at sufficient frequency to assess temporal variability in quarterly sampling records, median values of the relative interquartile range (ratio of the interquartile range to the median) among wells typically ranged from about 100 to 150 percent. The relative interquartile range of pesticide concentrations at individual wells could be much higher, sometimes exceeding 200 to 500 percent. No distinct spatial patterns were apparent among median pesticide concentrations in sampled wells; nitrate concentrations tended to be greater in samples from wells in the northern part of the study area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131271","collaboration":"Prepared in cooperation with the Florida Department of Agriculture and Consumer Services, and the Southwest Florida Water Management District","usgsCitation":"Choquette, A.F., 2014, Pesticides and nitrate in groundwater underlying citrus croplands, Lake Wales Ridge, central Florida, 1999-2005.: U.S. Geological Survey Open-File Report 2013-1271, Report: vii, 28 p.; Appendix, https://doi.org/10.3133/ofr20131271.","productDescription":"Report: vii, 28 p.; Appendix","numberOfPages":"35","ipdsId":"IP-049592","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":281143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131271.jpg"},{"id":281136,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1271/appendix/ofr2013-1271_appendix1.xlsx"},{"id":281137,"type":{"id":18,"text":"Project Site"},"url":"https://fl.water.usgs.gov/lake-wales/index.html"},{"id":281138,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2012/1231/"},{"id":281134,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1271/"},{"id":281135,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1271/pdf/of2013-1271.pdf"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Wales Ridge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.6607,27.8578 ], [ -81.6607,27.9784 ], [ -81.5312,27.9784 ], [ -81.5312,27.8578 ], [ -81.6607,27.8578 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d900cbe4b08fdd52814863","contributors":{"authors":[{"text":"Choquette, Anne F. achoq@usgs.gov","contributorId":1225,"corporation":false,"usgs":true,"family":"Choquette","given":"Anne","email":"achoq@usgs.gov","middleInitial":"F.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486059,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70060093,"text":"ofr20141001 - 2014 - Emergency assessment of post-fire debris-flow hazards for the 2013 Springs Fire, Ventura County, California","interactions":[],"lastModifiedDate":"2014-01-15T16:26:17","indexId":"ofr20141001","displayToPublicDate":"2014-01-15T16:08:00","publicationYear":"2014","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":"2014-1001","title":"Emergency assessment of post-fire debris-flow hazards for the 2013 Springs Fire, Ventura County, California","docAbstract":"Wildfire can significantly alter the hydrologic response of a watershed to the extent that even modest rainstorms can produce dangerous flash floods and debris flows. In this report, empirical models are used to predict the probability and magnitude of debris-flow occurrence in response to a 10-year rainstorm for the 2013 Springs fire in Ventura County, California. Overall, the models predict a relatively high probability (60–80 percent) of debris flow for 9 of the 99 drainage basins in the burn area in response to a 10-year recurrence interval design storm. Predictions of debris-flow volume suggest that debris flows may entrain a significant volume of material, with 28 of the 99 basins identified as having potential debris-flow volumes greater than 10,000 cubic meters. These results of the relative combined hazard analysis suggest there is a moderate likelihood of significant debris-flow hazard within and downstream of the burn area for nearby populations, infrastructure, wildlife, and water resources. Given these findings, we recommend that residents, emergency managers, and public works departments pay close attention to weather forecasts and National Weather Service-issued Debris Flow and Flash Flood Outlooks, Watches, and Warnings, and that residents adhere to any evacuation orders.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141001","usgsCitation":"Staley, D.M., 2014, Emergency assessment of post-fire debris-flow hazards for the 2013 Springs Fire, Ventura County, California: U.S. Geological Survey Open-File Report 2014-1001, Report: iv, 10 p.; 3 Plates: 48 x 36 inches, https://doi.org/10.3133/ofr20141001.","productDescription":"Report: iv, 10 p.; 3 Plates: 48 x 36 inches","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-052864","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":281128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141001.jpg"},{"id":281127,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1001/"},{"id":281129,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1001/pdf/of2014-1001.pdf"},{"id":281130,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1001/pdf/Plate1_ProbabilityMap.pdf"},{"id":281131,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1001/pdf/Plate2_VolumeMap.pdf"},{"id":281132,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1001/pdf/Plate3_CombinedMap.pdf"}],"projection":"Universal Transverse Mercator","datum":"North American Datum of 1983","country":"United States","state":"California","county":"Ventura County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.227066,33.997458 ], [ -119.227066,34.27651 ], [ -118.767014,34.27651 ], [ -118.767014,33.997458 ], [ -119.227066,33.997458 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d7ade1e4b0f10664b99dc7","contributors":{"authors":[{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":487883,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70073397,"text":"70073397 - 2014 - Fluorescence-based classification of Caribbean coral reef organisms and substrates","interactions":[],"lastModifiedDate":"2014-01-20T09:34:00","indexId":"70073397","displayToPublicDate":"2014-01-15T09:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Fluorescence-based classification of Caribbean coral reef organisms and substrates","docAbstract":"A diverse group of coral reef organisms, representing several phyla, possess fluorescent pigments. We investigated the potential of using the characteristic fluorescence emission spectra of these pigments to enable unsupervised, optical classification of coral reef habitats. We compiled a library of characteristic fluorescence spectra through in situ and laboratory measurements from a variety of specimens throughout the Caribbean. Because fluorescent pigments are not species-specific, the spectral library is organized in terms of 15 functional groups. We investigated the spectral separability of the functional groups in terms of the number of wavebands required to distinguish between them, using the similarity measures Spectral Angle Mapper (SAM), Spectral Information Divergence (SID), SID-SAM mixed measure, and Mahalanobis distance. This set of measures represents geometric, stochastic, joint geometric-stochastic, and statistical approaches to classifying spectra. Our hyperspectral fluorescence data were used to generate sets of 4-, 6-, and 8-waveband spectra, including random variations in relative signal amplitude, spectral peak shifts, and water-column attenuation. Each set consisted of 2 different band definitions: ‘optimally-picked’ and ‘evenly-spaced.’ The optimally-picked wavebands were chosen to coincide with as many peaks as possible in the functional group spectra. Reference libraries were formed from half of the spectra in each set and used for training purposes. Average classification accuracies ranged from 76.3% for SAM with 4 evenly-spaced wavebands to 93.8% for Mahalanobis distance with 8 evenly-spaced wavebands. The Mahalanobis distance consistently outperformed the other measures. In a second test, empirically-measured spectra were classified using the same reference libraries and the Mahalanobis distance for just the 8 evenly-spaced waveband case. Average classification accuracies were 84% and 87%, corresponding to the extremes in modeled water-column attenuation. The classification results from both tests indicate that a high degree of separability among the 15 fluorescent-spectra functional groups is possible using only a modest number of spectral bands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0084570","usgsCitation":"Zawada, D., and Mazel, C.H., 2014, Fluorescence-based classification of Caribbean coral reef organisms and substrates: PLoS ONE, v. 9, no. 1, 13 p., https://doi.org/10.1371/journal.pone.0084570.","productDescription":"13 p.","numberOfPages":"13","onlineOnly":"Y","ipdsId":"IP-040535","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473221,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0084570","text":"Publisher Index Page"},{"id":281274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281273,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0084570"}],"volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-15","publicationStatus":"PW","scienceBaseUri":"53cd5a05e4b0b290850f9113","contributors":{"authors":[{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":1898,"corporation":false,"usgs":true,"family":"Zawada","given":"David G.","email":"dzawada@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":488686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mazel, Charles H.","contributorId":84266,"corporation":false,"usgs":true,"family":"Mazel","given":"Charles","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":488687,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048443,"text":"70048443 - 2014 - Tritium plume dynamics in the shallow unsaturated zone in an arid environment","interactions":[],"lastModifiedDate":"2018-01-30T19:24:08","indexId":"70048443","displayToPublicDate":"2014-01-14T15:16:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Tritium plume dynamics in the shallow unsaturated zone in an arid environment","docAbstract":"

The spatiotemporal variability of a tritium plume in the shallow unsaturated zone and the mechanisms controlling its transport were evaluated during a 10-yr study. Plume movement was minimal and its mass declined by 68%. Upward-directed diffusive-vapor tritium fluxes and radioactive decay accounted for most of the observed plume-mass declines.

Effective isolation of tritium (3H) and other contaminants at waste-burial facilities requires improved understanding of transport processes and pathways. Previous studies documented an anomalously widespread (i.e., theoretically unexpected) distribution of 3H (>400 m from burial trenches) in a dry, sub-root-zone gravelly layer (1–2-m depth) adjacent to a low-level radioactive waste (LLRW) burial facility in the Amargosa Desert, Nevada, that closed in 1992. The objectives of this study were to: (i) characterize long-term, spatiotemporal variability of 3H plumes; and (ii) quantify the processes controlling 3H behavior in the sub-root-zone gravelly layer beneath native vegetation adjacent to the facility. Geostatistical methods, spatial moment analyses, and mass flux calculations were applied to a spatiotemporally comprehensive, 10-yr data set (2001–2011). Results showed minimal bulk-plume advancement during the study period and limited Fickian spreading of mass. Observed spreading rates were generally consistent with theoretical vapor-phase dispersion. The plume mass diminished more rapidly than would be expected from radioactive decay alone, indicating net efflux from the plume. Estimates of upward 3H efflux via diffusive-vapor movement were >10× greater than by dispersive-vapor or total-liquid movement. Total vertical fluxes were >20× greater than lateral diffusive-vapor fluxes, highlighting the importance of upward migration toward the land surface. Mass-balance calculations showed that radioactive decay and upward diffusive-vapor fluxes contributed the majority of plume loss. Results indicate that plume losses substantially exceeded any continuing 3H contribution to the plume from the LLRW facility during 2001 to 2011 and suggest that the widespread 3H distribution resulted from transport before 2001.

","language":"English","publisher":"Soil Science Society of America","publisherLocation":"Madison, WI","doi":"10.2136/vzj2013.05.0080","usgsCitation":"Maples, S., Andraski, B.J., Stonestrom, D.A., Cooper, C., Pohll, G., and Michel, R.L., 2014, Tritium plume dynamics in the shallow unsaturated zone in an arid environment: Vadose Zone Journal, v. 12, no. 4, 15 p., https://doi.org/10.2136/vzj2013.05.0080.","productDescription":"15 p.","ipdsId":"IP-042454","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":473222,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2136/vzj2013.05.0080","text":"Publisher Index Page"},{"id":281051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.1093,35.9276 ], [ -117.1093,37.0185 ], [ -115.8597,37.0185 ], [ -115.8597,35.9276 ], [ -117.1093,35.9276 ] ] ] } } ] }","volume":"12","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-11-14","publicationStatus":"PW","scienceBaseUri":"52d65d7ce4b0b566e996b367","contributors":{"authors":[{"text":"Maples, S.R.","contributorId":64556,"corporation":false,"usgs":true,"family":"Maples","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":484671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andraski, Brian J. 0000-0002-2086-0417 andraski@usgs.gov","orcid":"https://orcid.org/0000-0002-2086-0417","contributorId":168800,"corporation":false,"usgs":true,"family":"Andraski","given":"Brian","email":"andraski@usgs.gov","middleInitial":"J.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":484673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":484675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooper, C.A.","contributorId":67316,"corporation":false,"usgs":true,"family":"Cooper","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":484672,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pohll, G.","contributorId":25362,"corporation":false,"usgs":true,"family":"Pohll","given":"G.","email":"","affiliations":[],"preferred":false,"id":484670,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Michel, R. L.","contributorId":86375,"corporation":false,"usgs":true,"family":"Michel","given":"R.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484674,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70048953,"text":"sir20135125 - 2014 - Evaluation of toxicity to the amphipod, Hyalella azteca, and to the midge, Chironomus dilutus; and bioaccumulation by the oligochaete, Lumbriculus variegatus, with exposure to PCB-contaminated sediments from Anniston, Alabama","interactions":[],"lastModifiedDate":"2014-01-21T08:32:17","indexId":"sir20135125","displayToPublicDate":"2014-01-14T14:48:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5125","title":"Evaluation of toxicity to the amphipod, Hyalella azteca, and to the midge, Chironomus dilutus; and bioaccumulation by the oligochaete, Lumbriculus variegatus, with exposure to PCB-contaminated sediments from Anniston, Alabama","docAbstract":"

The U.S. Environmental Protection Agency (USEPA) requested that as part of the remedial investigation for the Anniston, Alabama Polychlorinated Biphenyl (PCB) Site (Anniston PCB Site), that Pharmacia Corporation and Solutia Inc. (P/S) perform long-term reproduction toxicity tests with the amphipod, Hyalella azteca, and the midge, Chironomus dilutus, and bioaccumulation tests with the oligochaete, Lumbriculus variegatus, using sediment samples collected from reference locations and from Operable Unit 4 of the Anniston PCB Site. The sediment toxicity testing and sediment bioaccumulation results will be used by ARCADIS U.S., Inc. (ARCADIS) as part of a weight-of-evidence assessment to evaluate risks and establish sediment remediation goals for contaminants to sediment-dwelling organisms inhabiting the Anniston PCB Site.

\n
\n

The goal of this study was to characterize relations between sediment chemistry and sediment toxicity and relations between sediment chemistry and sediment bioaccumulation in samples of sediments collected from the Anniston PCB Site. A total of 32 samples were evaluated from six test sites and one reference site to provide a wide range in concentrations of chemicals of potential concern (COPCs) including PCBs in samples of whole sediment. The goal of this study was not to determine the extent of sediment contamination across the Anniston PCB Site. Hence, the test sites or samples collected from within a test site were not selected to represent the spatial extent of sediment contamination across the Anniston PCB Site. Sediment chemistry, pore-water chemistry, and sediment toxicity data were generated for 26 sediment samples from the Anniston PCB Site. All of the samples were evaluated to determine if they qualified as reference sediment samples. Those samples that met the chemical selection criteria and biological selection criteria were identified as reference samples and used to develop the reference envelope for each toxicity test endpoint.

\n
\n

Physical characterization of samples of whole sediment included analyses of grain size, TOC, and nutrients. Organic chemical characterization of samples of whole sediment included PCB homologs and select (13) PCB congeners, parent and alkylated polycyclic aromatic hydrocarbons (PAHs), organochlorine pesticides, and polychlorinated dibenzo-p-dioxins; and dibenzofurans. The PCB aroclors analyzed included 1016, 1221, 1232, 1242, 1248, 1254, 1260, 1262 and 1268. Analyses of whole sediment also included total metals, simultaneously extracted metals, and acid volatile sulfide. Chemical characterization of samples of pore water isolated from samples of whole sediment at the start of the sediment toxicity exposures or at the start of the sediment bioaccumulation exposures included metals, major cations, major anions, dissolved organic carbon, and additional water-quality characteristics. Concentrations of metals or PCBs in pore water during the sediment toxicity exposures or during sediment bioaccumulation exposures also were determined using peeper samples (for metals) or solid-phase microextraction (SPME) samplers (for PCBs).

\n
\n

The bioavailability and bioaccumulation of PCBs in 14 sediment samples were investigated using SPME passive samplers and the 28-d L. variegatus whole-sediment bioaccumulation exposures In general the accumulation of PCBs consistently was predicted through the use of organic carbon normalization and equilibrium partitioning. In these sediments, PCB homologs were accumulated differently based on bioavailability and potential to accumulate in oligochaetes. As part of this assessment homolog specific biota sediment accumulation factor values were developed that could be applied across the larger site to predict tissue levels of PCBs.

\n
\n

The whole-sediment toxicity tests done with H. azteca and C. dilutus met the established ASTM and USEPA test acceptability criteria. The most responsive H. azteca endpoints were day 42 survival normalized young per female and day 28 biomass and that the most responsive C. dilutus endpoints were adult biomass and percent adult emergence. Overall, between the two species, the most responsive endpoint assessed for these two species was H. azteca survival-normalized young per female (67 percent of the samples classified as toxic).

\n
\n

Concentration-response models (CRMs) and site-specific sediment toxicity thresholds (TTs) were generated with matching sediment chemistry and sediment toxicity data. Sediment chemistry, pore-water chemistry, and sediment toxicity data were evaluated for as many as 26 sediment samples from the Anniston PCB Site. The reference-envelope approach was used to identify the sediment samples that were toxic to benthic invertebrates. This procedure involved identification of reference sediment samples, normalizing the toxicity data to reflect control responses, developing a reference envelope for each toxicity test endpoint, and designating each sediment sample as toxic or not toxic for each toxicity test endpoint, for each species, and for all species combined. These results demonstrated percent emergence of adult C. dilutus, biomass of adult C. dilutus, and reproduction of H. azteca normalized to percent survival were among the most responsive endpoints that were evaluated. Therefore, these endpoints were selected for CRM development.

\n
\n

The site-specific TTs for whole sediment provide a reliable basis for identifying toxic and not toxic sediment samples in the Anniston PCB Site (that is, for correctly classifying the sediment samples used to derive the TTs as toxic or not toxic, for the endpoint used to derive the TTs). Among the 69 TTs for sediment, the TTLRs for total PCB homologs [499 to 1,870 micrograms per kilogram dry weight (μg/kg DW)] and for lead [(9.48 to 10.3 milligrams per kilogram (mg/kg) DW] based on reproduction of H. azteca or based on emergence or biomass of adult C. dilutus, were the most reliable. Such TTs had low rates of false negative errors (that is, only 0 to 11 percent of the samples below the TT were toxic to benthic invertebrates), low rates of false positive errors (only 0 to 6 percent of the samples greater than the TT were not toxic to benthic invertebrates), and high rates of correct classification (that is, 92 to 96 percent).

\n
\n

The site-specific TTs for PCBs and other COPCs derived in this study also were compared to empirically based sediment quality guidelines (SQGs), to equilibrium-partitioning based SQGs, and to the results of spiked-sediment toxicity tests. The results of this evaluation indicated that the site-specific sediment TTs for PCBs were comparable to the consensus-based SQGs that were derived for PCBs. In addition, the site-specific sediment TTs for PCBs are well within the range of SQGs derived using the equilibrium partitioning approach. The site-specific sediment TTs for PCBs also are consistent with the results of chronic TTs that have been estimated for benthic invertebrates using the results of spiked-sediment toxicity tests. As the site-specific sediment TTs for PCBs are consistent with empirically based SQGs, equilibrium-partitioning based SQGs, and results of sediment-spiking studies, these site- specific sediment TTs likely represent the concentrations of PCBs that are sufficient to cause toxicity to benthic invertebrates (as opposed to simply being correlated with adverse effects on the survival, weight, or reproduction of benthic invertebrates). Importantly, such site-specific sediment TTs have been demonstrated to accurately classify sediment samples as toxic or not toxic to benthic invertebrates at the Anniston PCB Site. In contrast, the TTs for metals, PAHs, and organochlorine pesticides were generally lower than consensus-based SQGs (that is, probable effect concentrations), and LC50s (median lethal effect concentrations) generated in spiked-sediment toxicity tests, indicating that these COPCs are likely not the main contributors to the observed toxicity of the site sediments evaluated in this study. The reproduction endpoint for H. azteca provided lower TTs compared to the day 28 biomass endpoint for H. azteca and the emergence or biomass endpoints for adult C. dilutus provided lower TTs compared to the day 13 biomass endpoint for C. dilutus.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135125","issn":"2328-0328","usgsCitation":"Ingersoll, C.G., Steevens, J., MacDonald, D., Brumbaugh, W.G., Coady, M.R., Farrar, J.D., Lotufo, G.R., Kemble, N.E., Kunz, J.L., Stanley, J.K., and Sinclair, J., 2014, Evaluation of toxicity to the amphipod, Hyalella azteca, and to the midge, Chironomus dilutus; and bioaccumulation by the oligochaete, Lumbriculus variegatus, with exposure to PCB-contaminated sediments from Anniston, Alabama: U.S. Geological Survey Scientific Investigations Report 2013-5125, Report: ix, 122 p.; Downloads Directory, https://doi.org/10.3133/sir20135125.","productDescription":"Report: ix, 122 p.; Downloads Directory","numberOfPages":"136","onlineOnly":"Y","ipdsId":"IP-036311","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":281049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135125.jpg"},{"id":281046,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5125/"},{"id":281048,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5125/downloads/"},{"id":281047,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5125/pdf/sir2013-5125.pdf"}],"country":"United States","state":"Alabama","city":"Anniston","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.931236,33.599966 ], [ -85.931236,33.750917 ], [ -85.755367,33.750917 ], [ -85.755367,33.599966 ], [ -85.931236,33.599966 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d65d72e4b0b566e996b34b","contributors":{"editors":[{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":509632,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":65415,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":509634,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"MacDonald, Donald D.","contributorId":49911,"corporation":false,"usgs":true,"family":"MacDonald","given":"Donald D.","affiliations":[],"preferred":false,"id":509633,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":485857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":65415,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":485864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacDonald, Donald D.","contributorId":49911,"corporation":false,"usgs":true,"family":"MacDonald","given":"Donald D.","affiliations":[],"preferred":false,"id":485862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":485856,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coady, Matthew R.","contributorId":36055,"corporation":false,"usgs":true,"family":"Coady","given":"Matthew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":485861,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farrar, J. Daniel","contributorId":18272,"corporation":false,"usgs":true,"family":"Farrar","given":"J.","email":"","middleInitial":"Daniel","affiliations":[],"preferred":false,"id":485860,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lotufo, Guilherme R.","contributorId":64564,"corporation":false,"usgs":true,"family":"Lotufo","given":"Guilherme","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":485863,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kemble, Nile E. 0000-0002-3608-0538 nkemble@usgs.gov","orcid":"https://orcid.org/0000-0002-3608-0538","contributorId":2626,"corporation":false,"usgs":true,"family":"Kemble","given":"Nile","email":"nkemble@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":485858,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":485859,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stanley, Jacob K.","contributorId":96590,"corporation":false,"usgs":true,"family":"Stanley","given":"Jacob","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":485866,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sinclair, Jesse A.","contributorId":66967,"corporation":false,"usgs":true,"family":"Sinclair","given":"Jesse A.","affiliations":[],"preferred":false,"id":485865,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70071870,"text":"70071870 - 2014 - Parameter estimation for the 4-parameter Asymmetric Exponential Power distribution by the method of L-moments using R","interactions":[],"lastModifiedDate":"2014-01-14T14:20:36","indexId":"70071870","displayToPublicDate":"2014-01-14T14:18:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1309,"text":"Computational Statistics and Data Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Parameter estimation for the 4-parameter Asymmetric Exponential Power distribution by the method of L-moments using R","docAbstract":"The implementation characteristics of two method of L-moments (MLM) algorithms for parameter estimation of the 4-parameter Asymmetric Exponential Power (AEP4) distribution are studied using the R environment for statistical computing. The objective is to validate the algorithms for general application of the AEP4 using R. An algorithm was introduced in the original study of the L-moments for the AEP4. A second or alternative algorithm is shown to have a larger L-moment-parameter domain than the original. The alternative algorithm is shown to provide reliable parameter production and recovery of L-moments from fitted parameters. A proposal is made for AEP4 implementation in conjunction with the 4-parameter Kappa distribution to create a mixed-distribution framework encompassing the joint L-skew and L-kurtosis domains. The example application provides a demonstration of pertinent algorithms with L-moment statistics and two 4-parameter distributions (AEP4 and the Generalized Lambda) for MLM fitting to a modestly asymmetric and heavy-tailed dataset using R.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Computational Statistics and Data Analysis","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.csda.2012.12.013","usgsCitation":"Asquith, W.H., 2014, Parameter estimation for the 4-parameter Asymmetric Exponential Power distribution by the method of L-moments using R: Computational Statistics and Data Analysis, v. 71, p. 955-970, https://doi.org/10.1016/j.csda.2012.12.013.","productDescription":"15 p.","startPage":"955","endPage":"970","ipdsId":"IP-040542","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":281037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280982,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.csda.2012.12.013"}],"volume":"71","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d65d79e4b0b566e996b35b","contributors":{"authors":[{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488268,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70071871,"text":"70071871 - 2014 - Regression models of discharge and mean velocity associated with near-median streamflow conditions in Texas: utility of the U.S. Geological Survey discharge measurement database","interactions":[],"lastModifiedDate":"2014-01-14T14:16:00","indexId":"70071871","displayToPublicDate":"2014-01-14T14:04:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Regression models of discharge and mean velocity associated with near-median streamflow conditions in Texas: utility of the U.S. Geological Survey discharge measurement database","docAbstract":"A database containing more than 16,300 discharge values and ancillary hydraulic attributes was assembled from summaries of discharge measurement records for 391 USGS streamflow-gauging stations (streamgauges) in Texas. Each discharge is between the 40th- and 60th-percentile daily mean streamflow as determined by period-of-record, streamgauge-specific, flow-duration curves. Each discharge therefore is assumed to represent a discharge measurement made for near-median streamflow conditions, and such conditions are conceptualized as representative of midrange to baseflow conditions in much of the state. The hydraulic attributes of each discharge measurement included concomitant cross-section flow area, water-surface top width, and reported mean velocity. Two regression equations are presented: (1) an expression for discharge and (2) an expression for mean velocity, both as functions of selected hydraulic attributes and watershed characteristics. Specifically, the discharge equation uses cross-sectional area, water-surface top width, contributing drainage area of the watershed, and mean annual precipitation of the location; the equation has an adjusted R-squared of approximately 0.95 and residual standard error of approximately 0.23 base-10 logarithm (cubic meters per second). The mean velocity equation uses discharge, water-surface top width, contributing drainage area, and mean annual precipitation; the equation has an adjusted R-squared of approximately 0.50 and residual standard error of approximately 0.087 third root (meters per second). Residual plots from both equations indicate that reliable estimates of discharge and mean velocity at ungauged stream sites are possible. Further, the relation between contributing drainage area and main-channel slope (a measure of whole-watershed slope) is depicted to aid analyst judgment of equation applicability for ungauged sites. Example applications and computations are provided and discussed within a real-world, discharge-measurement scenario, and an illustration of the development of a preliminary stage-discharge relation using the discharge equation is given.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrologic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)HE.1943-5584.0000715","usgsCitation":"Asquith, W.H., 2014, Regression models of discharge and mean velocity associated with near-median streamflow conditions in Texas: utility of the U.S. Geological Survey discharge measurement database: Journal of Hydrologic Engineering, v. 19, no. 1, p. 108-122, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000715.","productDescription":"15 p.","startPage":"108","endPage":"122","ipdsId":"IP-040546","costCenters":[],"links":[{"id":281036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281034,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000715"},{"id":281035,"type":{"id":15,"text":"Index Page"},"url":"https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29HE.1943-5584.0000715"}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.69,28.17 ], [ -102.69,36.50 ], [ -93.52,36.50 ], [ -93.52,28.17 ], [ -102.69,28.17 ] ] ] } } ] }","volume":"19","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d65d7ae4b0b566e996b35f","contributors":{"authors":[{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488269,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047514,"text":"70047514 - 2014 - Dendrochemical patterns of calcium, zinc, and potassium related to internal factors detected by energy dispersive X-ray fluorescence (EDXRF)","interactions":[],"lastModifiedDate":"2014-01-14T13:38:57","indexId":"70047514","displayToPublicDate":"2014-01-14T11:34:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Dendrochemical patterns of calcium, zinc, and potassium related to internal factors detected by energy dispersive X-ray fluorescence (EDXRF)","docAbstract":"Energy dispersive X-ray fluorescence (EDXRF) provides highly sensitive and precise spatial resolution of cation content in individual annual growth rings in trees. The sensitivity and precision have prompted successful applications to forensic dendrochemistry and the timing of environmental releases of contaminants. These applications have highlighted the need to distinguish dendrochemical effects of internal processes from environmental contamination. Calcium, potassium, and zinc are three marker cations that illustrate the influence of these processes. We found changes in cation chemistry in tree rings potentially due to biomineralization, development of cracks or checks, heartwood/sapwood differentiation, intra-annual processes, and compartmentalization of infection. Distinguishing internal from external processes that affect dendrochemistry will enhance the value of EDXRF for both physiological and forensic investigations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2013.08.017","usgsCitation":"Smith, K.T., Balouet, J.C., Shortle, W.C., Chalot, M., Beaujard, F., Grudd, H., Vroblesky, D.A., and Burkem, J.G., 2014, Dendrochemical patterns of calcium, zinc, and potassium related to internal factors detected by energy dispersive X-ray fluorescence (EDXRF): Chemosphere, v. 95, p. 58-62, https://doi.org/10.1016/j.chemosphere.2013.08.017.","productDescription":"5 p.","startPage":"58","endPage":"62","numberOfPages":"5","ipdsId":"IP-045037","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":473225,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.chemosphere.2013.08.017","text":"External Repository"},{"id":281024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278946,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemosphere.2013.08.017"}],"volume":"95","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d65d70e4b0b566e996b347","contributors":{"authors":[{"text":"Smith, Kevin T.","contributorId":58512,"corporation":false,"usgs":true,"family":"Smith","given":"Kevin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":482224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balouet, Jean Christophe","contributorId":95746,"corporation":false,"usgs":true,"family":"Balouet","given":"Jean","email":"","middleInitial":"Christophe","affiliations":[],"preferred":false,"id":482228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shortle, Walter C.","contributorId":64130,"corporation":false,"usgs":true,"family":"Shortle","given":"Walter","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":482226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chalot, Michel","contributorId":58888,"corporation":false,"usgs":true,"family":"Chalot","given":"Michel","email":"","affiliations":[],"preferred":false,"id":482225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beaujard, François","contributorId":74677,"corporation":false,"usgs":true,"family":"Beaujard","given":"François","affiliations":[],"preferred":false,"id":482227,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grudd, Hakan","contributorId":101187,"corporation":false,"usgs":true,"family":"Grudd","given":"Hakan","email":"","affiliations":[],"preferred":false,"id":482229,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vroblesky, Don A. vroblesk@usgs.gov","contributorId":413,"corporation":false,"usgs":true,"family":"Vroblesky","given":"Don","email":"vroblesk@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":482222,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burkem, Joel G.","contributorId":51653,"corporation":false,"usgs":true,"family":"Burkem","given":"Joel","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":482223,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70057648,"text":"ofr20131274 - 2014 - Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2012","interactions":[],"lastModifiedDate":"2014-07-15T09:02:59","indexId":"ofr20131274","displayToPublicDate":"2014-01-14T09:54:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1274","title":"Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2012","docAbstract":"

Streamflow and concentrations of sodium and chloride estimated from records of specific conductance were used to calculate loads of sodium and chloride during water year (WY) 2012 (October 1, 2011, through September 30, 2012), for tributaries to the Scituate Reservoir, Rhode Island. Streamflow and water-quality data used in the study were collected by the U.S. Geological Survey (USGS) or the Providence Water Supply Board (PWSB). Streamflow was measured or estimated by the USGS following standard methods at 23 streamgages; 14 of these streamgages were equipped with instrumentation capable of continuously monitoring water level, specific conductance, and water temperature. Water-quality samples were collected at 37 sampling stations by the PWSB and at 14 continuous-record streamgages by the USGS during WY 2012 as part of a long-term sampling program; all stations were in the Scituate Reservoir drainage area. Water-quality data collected by the PWSB were summarized by using values of central tendency and used, in combination with measured (or estimated) streamflows, to calculate loads and yields (loads per unit area) of selected water-quality constituents for WY 2012.

\n
\n

The largest tributary to the reservoir (the Ponaganset River, which was monitored by the USGS) contributed a mean streamflow of about 26 cubic feet per second (ft3/s) to the reservoir during WY 2012. For the same time period, annual mean1 streamflows measured (or estimated) for the other monitoring stations in this study ranged from about 0.40 to about 17 ft3/s. Together, tributaries (equipped with instrumentation capable of continuously monitoring specific conductance) transported about 1,100,000 kilograms (kg) of sodium and 1,900,000 kg of chloride to the Scituate Reservoir during WY 2012; sodium and chloride yields for the tributaries ranged from 8,700 to 51,000 kilograms per square mile (kg/mi2) and from 14,000 to 87,000 kg/mi2, respectively.

\n
\n

At the stations where water-quality samples were collected by the PWSB, the median of the median chloride concentrations was 19 milligrams per liter (mg/L), median nitrite concentration was 0.002 mg/L as nitrogen (N), median nitrate concentration was less than 0.01 mg/L as N, median orthophosphate concentration was 0.06 mg/L as phosphorus, and median concentrations of total coliform and Escherichia coli (E. coli) bacteria were 43 and 16 colony forming units per 100 milliliters (CFU/100mL), respectively. The medians of the median daily loads (and yields) of chloride, nitrite, nitrate, orthophosphate, and total coliform and E. coli bacteria were 200 kilograms per day (kg/d) (71 kilograms per day per square mile (kg/d/mi2)); 15 grams per day (g/d) (5.4 grams per day per square mile (g/d/mi2)); 100 g/d (38 g/d/mi2); 500 g/d (260 g/d/mi2); 4,300 million colony forming units per day (CFUx106/d) (1,500 CFUx106/d/mi2); and 1,000 CFUx106/d (360 CFUx106/d/mi2), respectively.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131274","issn":"2331-1258","collaboration":"Prepared in cooperation with the Providence Water Supply Board","usgsCitation":"Smith, K.P., 2014, Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2012 (First posted January 14, 2014; Revised and reposted July 14, 2014, version 1.1): U.S. Geological Survey Open-File Report 2013-1274, v, 30 p., https://doi.org/10.3133/ofr20131274.","productDescription":"v, 30 p.","numberOfPages":"40","onlineOnly":"Y","temporalStart":"2011-10-01","temporalEnd":"2012-09-30","ipdsId":"IP-045370","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":280969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131274.jpg"},{"id":280968,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1274/pdf/ofr2013-1274.pdf"},{"id":280967,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1274/"}],"scale":"24000","country":"United States","state":"Rhode Island","otherGeospatial":"Scituate Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.8,41.7 ], [ -71.8,41.9 ], [ -71.5,41.9 ], [ -71.5,41.7 ], [ -71.8,41.7 ] ] ] } } ] }","edition":"First posted January 14, 2014; Revised and reposted July 14, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d65d7be4b0b566e996b363","contributors":{"authors":[{"text":"Smith, Kirk P. 0000-0003-0269-474X kpsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":1516,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","email":"kpsmith@usgs.gov","middleInitial":"P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486865,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70049003,"text":"sim3274 - 2014 - Flood-inundation maps for the East Fork White River near Bedford, Indiana","interactions":[],"lastModifiedDate":"2014-01-13T17:49:16","indexId":"sim3274","displayToPublicDate":"2014-01-13T17:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3274","title":"Flood-inundation maps for the East Fork White River near Bedford, Indiana","docAbstract":"Digital flood-inundation maps for an 1.8-mile reach of the East Fork White River near Bedford, Indiana (Ind.) were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ depict estimates of the areal extent and depth of flooding corresponding to selectedwater levels (stages) at USGS streamgage 03371500, East Fork White River near Bedford, Ind. Current conditions for estimating near-real-time areas of inundation using USGS streamgage information may be obtained on the Internet at http://waterdata.usgs.gov/in/nwis/uv?site_no=03371500. In addition, information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system (http://water.weather.gov/ahps/). The NWS forecasts flood hydrographs at many places that are often colocated with USGS streamgages, including the East Fork White River near Bedford, Ind. NWS-forecasted peak-stage information may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.\n\nFor this study, flood profiles were computed for the East Fork White River reach by means of a one-dimensional step-backwater model. The hydraulic model was calibrated by using the most current stage-discharge relations at USGS streamgage 03371500, East Fork White River near Bedford, Ind., and documented high-water marks from the flood of June 2008. The calibrated hydraulic model was then used to determine 20 water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from bankfull to the highest stage of the current stage-discharge rating curve. The simulated water-surface profiles were then combined with a geographic information system (GIS) digital elevation model (DEM, derived from Light Detection and Ranging (LiDAR) data having a 0.593-foot vertical accuracy) in order to delineate the area flooded at each water level.\n\nThe availability of these maps, along with Internet information regarding current stage from the USGS streamgage near Bedford, Ind., and forecasted stream stages from the NWS, provides emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for postflood recovery eforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3274","issn":"2329-132X","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Fowler, K.K., 2014, Flood-inundation maps for the East Fork White River near Bedford, Indiana: U.S. Geological Survey Scientific Investigations Map 3274, Report: v, 8 p.; 20 Map Sheets; Downloads Directory, https://doi.org/10.3133/sim3274.","productDescription":"Report: v, 8 p.; 20 Map Sheets; Downloads Directory","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-045036","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":280947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3274.jpg"},{"id":280944,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3274/pdf/mapsheets/"},{"id":280945,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3274/images/mapsheets_jpg/"},{"id":280946,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3274/Downloads"},{"id":280942,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3274/"},{"id":280943,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3274/pdf/sim3274.pdf"}],"datum":"North American Vertical Datum 1988","country":"United States","state":"Indiana","city":"Bedford","otherGeospatial":"East Fork White River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.533333,38.75 ], [ -86.533333,38.85 ], [ -86.383333,38.85 ], [ -86.383333,38.75 ], [ -86.533333,38.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d50bcae4b0f19e63d9b376","contributors":{"authors":[{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485983,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70060020,"text":"ds815 - 2014 - Physiographic and land cover attributes of the Puget Lowland and the active streamflow gaging network, Puget Sound Basin","interactions":[],"lastModifiedDate":"2026-05-28T21:27:52.698293","indexId":"ds815","displayToPublicDate":"2014-01-13T16:47:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"815","title":"Physiographic and land cover attributes of the Puget Lowland and the active streamflow gaging network, Puget Sound Basin","docAbstract":"Geospatial information for the active streamflow gaging network in the Puget Sound Basin was compiled to support regional monitoring of stormwater effects to small streams. The compilation includes drainage area boundaries and physiographic and land use attributes that affect hydrologic processes. Three types of boundaries were used to tabulate attributes: Puget Sound Watershed Characterization analysis units (AU); the drainage area of active streamflow gages; and the catchments of Regional Stream Monitoring Program (RSMP) sites. The active streamflow gaging network generally includes sites that represent the ranges of attributes for lowland AUs, although there are few sites with low elevations (less than 60 meters), low precipitation (less than 1 meter year), or high stream density (greater than 5 kilometers per square kilometers). The active streamflow gaging network can serve to provide streamflow information in some AUs and RSMP sites, particularly where the streamflow gage measures streamflow generated from a part of the AU or that drains to the RSMP site, and that part of the AU or RSMP site is a significant fraction of the drainage area of the streamgage. The maximum fraction of each AU or RSMP catchment upstream of a streamflow gage and the maximum fraction of any one gaged basin in an AU or RSMP along with corresponding codes are provided in the attribute tables.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds815","issn":"2327-638X","collaboration":"Prepared in cooperation with the Association of Washington Cities and the Washington Department of Ecology","usgsCitation":"Konrad, C., and Sevier, M., 2014, Physiographic and land cover attributes of the Puget Lowland and the active streamflow gaging network, Puget Sound Basin: U.S. Geological Survey Data Series 815, Report: HTML document; Conversion factors; 7 Tables; ArcGIS files, https://doi.org/10.3133/ds815.","productDescription":"HTML Document; Conversion Factors; 7 Tables; ArcGIS Files","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050811","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":504839,"rank":13,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99491.htm","linkFileType":{"id":5,"text":"html"}},{"id":280941,"rank":12,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds815.png"},{"id":280930,"rank":11,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/815/"},{"id":280931,"rank":10,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/815/index.html"},{"id":280940,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/815/downloads/ActiveGageAreas.zip"},{"id":280939,"rank":2,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/815/ds815_table7.html"},{"id":280938,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/815/ds815_table6.html"},{"id":280937,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/815/ds815_table5.html"},{"id":280936,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/815/downloads/ds815_table4.csv"},{"id":280935,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/815/downloads/ds815_table3.csv"},{"id":280934,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/815/downloads/ds815_table2.csv"},{"id":280933,"rank":8,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/815/conversions.html"},{"id":280932,"rank":9,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/815/ds815_table1.html"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.7449,46.3565 ], [ -124.7449,48.4526 ], [ -121.2684,48.4526 ], [ -121.2684,46.3565 ], [ -124.7449,46.3565 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d50bcde4b0f19e63d9b37a","contributors":{"authors":[{"text":"Konrad, Christopher","contributorId":72703,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","affiliations":[],"preferred":false,"id":487881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sevier, Maria","contributorId":87450,"corporation":false,"usgs":true,"family":"Sevier","given":"Maria","affiliations":[],"preferred":false,"id":487882,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70068736,"text":"70068736 - 2014 - Differentiation of pre-existing trapped methane from thermogenic methane in an igneous-intruded coal by hydrous pyrolysis","interactions":[],"lastModifiedDate":"2014-01-13T11:12:11","indexId":"70068736","displayToPublicDate":"2014-01-13T11:04:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2958,"text":"Organic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Differentiation of pre-existing trapped methane from thermogenic methane in an igneous-intruded coal by hydrous pyrolysis","docAbstract":"So as to better understand how the gas generation potential of coal changes with increasing rank, same-seam samples of bituminous coal from the Illinois Basin that were naturally matured to varying degrees by the intrusion of an igneous dike were subjected to hydrous pyrolysis (HP) conditions of 360 °C for 72 h. The accumulated methane in the reactor headspace was analyzed for δ13C and δ2H, and mol percent composition. Maximum methane production (9.7 mg/g TOC) occurred in the most immature samples (0.5 %Ro), waning to minimal methane values at 2.44 %Ro (0.67 mg/g TOC), and rebounding to 3.6 mg/g TOC methane in the most mature sample (6.76 %Ro). Methane from coal with the highest initial thermal maturity (6.76 %Ro) shows no isotopic dependence on the reactor water and has a microbial δ13C value of −61‰. However, methane from coal of minimal initial thermal maturity (0.5 %Ro) shows hydrogen isotopic dependence on the reaction water and has a δ13C value of −37‰. The gas released from coals under hydrous pyrolysis conditions represents a quantifiable mixture of ancient (270 Ma) methane (likely microbial) that was generated in situ and trapped within the rock during the rapid heating by the dike, and modern (laboratory) thermogenic methane that was generated from the indigenous organic matter due to thermal maturation induced by hydrous pyrolysis conditions. These findings provide an analytical framework for better assessment of natural gas sources and for differentiating generated gas from pre-existing trapped gas in coals of various ranks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Organic Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.orggeochem.2013.11.010","usgsCitation":"Dias, R.F., Lewan, M., Birdwell, J.E., and Kotarba, M.J., 2014, Differentiation of pre-existing trapped methane from thermogenic methane in an igneous-intruded coal by hydrous pyrolysis: Organic Geochemistry, v. 67, p. 1-7, https://doi.org/10.1016/j.orggeochem.2013.11.010.","productDescription":"7 p.","startPage":"1","endPage":"7","ipdsId":"IP-043968","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":280861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280847,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.orggeochem.2013.11.010"}],"volume":"67","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d50ae2e4b0f19e63d9b20c","contributors":{"authors":[{"text":"Dias, Robert F. rfdias@usgs.gov","contributorId":3746,"corporation":false,"usgs":true,"family":"Dias","given":"Robert","email":"rfdias@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":488086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewan, Michael D. mlewan@usgs.gov","contributorId":940,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael D.","email":"mlewan@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":488084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":488085,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kotarba, Maciej J.","contributorId":74665,"corporation":false,"usgs":true,"family":"Kotarba","given":"Maciej","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":488087,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70048928,"text":"sim3217 - 2014 - Sedimentation survey of Lago Dos Bocas, Utuado, Puerto Rico, January 2010","interactions":[],"lastModifiedDate":"2014-01-13T09:28:14","indexId":"sim3217","displayToPublicDate":"2014-01-13T09:16:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3217","title":"Sedimentation survey of Lago Dos Bocas, Utuado, Puerto Rico, January 2010","docAbstract":"Lago Dos Bocas reservoir was completed in 1942 to provide water for hydroelectric power generation along the northern coast of Puerto Rico. The reservoir had an original storage capacity of 37.50 million cubic meters (Mm3). The dam is located about 9 kilometers (km) northeast of the town of Utuado, immediately downstream of the original confluence of the Río Grande de Arecibo and the Río Caonillas (fig. 1).\n\nThe Puerto Rico Electric Power Authority (PREPA) owns and operates the Lago Dos Bocas reservoir, and since 1996, the reservoir has become an essential part of the Puerto Rico Aqueduct and Sewer Authority (PRASA) North Coast Superaqueduct Project. The Superaqueduct is supplied by controlled releases for hydroelectric power generation that replenish the public-supply raw-water intake pool located about 10 km downstream from the Lago Dos Bocas Dam (fig. 1). As of 2005, the Superaqueduct supplies about 4.03 cubic meters per second (m3/s) (348,192 cubic meters per day [m3/d]) of potable water to communities along the northern coast, from Arecibo to the San Juan metropolitan area.\n\nBecause of the importance of the reservoir to the North Coast Superaqueduct, the U.S. Geological Survey (USGS), in cooperation with PRASA, conducted a sedimentation survey of Lago Dos Bocas in January 2009. The results of this survey were used to estimate the useful life and the firm yield of the reservoir, and evaluate the need to dredge the reservoir.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3217","collaboration":"Prepared in cooperation with the Puerto Rico Electric Power Authority","usgsCitation":"Soler-Lopez, L.R., 2014, Sedimentation survey of Lago Dos Bocas, Utuado, Puerto Rico, January 2010: U.S. Geological Survey Scientific Investigations Map 3217, 32 x 32 inches, https://doi.org/10.3133/sim3217.","productDescription":"32 x 32 inches","additionalOnlineFiles":"N","ipdsId":"IP-027228","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":280839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3217.jpg"},{"id":280837,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3217/pdf/SIM3217.pdf"},{"id":280838,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3217/"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -66.67500,18.308333 ], [ -66.67500,18.500000 ], [ -66.65000,18.500000 ], [ -66.65000,18.308333 ], [ -66.67500,18.308333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d50bcfe4b0f19e63d9b389","contributors":{"authors":[{"text":"Soler-Lopez, Luis R.","contributorId":27501,"corporation":false,"usgs":true,"family":"Soler-Lopez","given":"Luis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":485821,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048919,"text":"sim3219 - 2014 - Sedimentation survey of Lago Loíza, Trujillo Alto, Puerto Rico, July 2009","interactions":[],"lastModifiedDate":"2014-01-13T09:20:25","indexId":"sim3219","displayToPublicDate":"2014-01-13T09:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3219","title":"Sedimentation survey of Lago Loíza, Trujillo Alto, Puerto Rico, July 2009","docAbstract":"Lago Loíza is a reservoir formed at the confluence of Río Gurabo and Río Grande de Loíza in the municipality of Trujillo Alto in central Puerto Rico, about 10 kilometers (km) north of the town of Caguas, about 9 km northwest of Gurabo, and about 3 km south of Trujillo Alto (fig. 1). The Carraizo Dam is owned and operated by the Puerto Rico Aqueduct and Sewer Authority (PRASA), and was constructed in 1953 as a water-supply reservoir for the San Juan Metropolitan area. The dam is a concrete gravity structure that is located in a shallow valley and has a gently sloping left abutment and steep right abutment. Non-overflow sections flank the spillway section. Waterways include an intake structure for the pumping station and power plant, sluiceways, a trash sluice, and a spillway.\n\nThe reservoir was built to provide a storage capacity of 26.8 million cubic meters (Mm3) of water at the maximum pool elevation of 41.14 meters (m) above mean sea level (msl) for the Sergio Cuevas Filtration Plant that serves the San Juan metropolitan area. The reservoir has a drainage area of 538 square kilometers (km2) and receives an annual mean rainfall that ranges from 1,600 to 5,000 millimeters per year (mm/yr). The principal streams that drain into Lago Loíza are the Río Grande de Loíza, Río Gurabo, and Río Cañas. Two other rivers, the Río Bairoa and Río Cagüitas, discharge into the Río Grande de Loíza just before it enters the reservoir. The combined mean annual runoff of the Río Grande de Loíza and the Río Gurabo for the 1960–2009 period of record is 323 Mm3. Flow from these streams constitutes about 89 percent of the total mean annual inflow of 364 Mm3 to the reservoir (U.S. Geological Survey, 2009). Detailed information about Lago Loíza reservoir structures, historical sediment accumulation, and a dredge conducted in 1999 are available in Soler-López and Gómez-Gómez (2005).\n\nDuring July 8–15, 2009, the U.S. Geological Survey (USGS) Caribbean Water Science Center (CWSC), in cooperation with PRASA, conducted a bathymetric survey of Lago Loíza to update the reservoir storage capacity and estimate the reservoir sedimentation rate by comparing the 2009 data with the previous 2004 bathymetric survey data. The purpose of this report is to document the methods used to update and present the results of the reservoir storage capacity, sedimentation rates, and areas of substantial sediment accumulation since 2004.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3219","collaboration":"Prepared in cooperation with the Puerto Rico Aqueduct and Sewer Authority","usgsCitation":"Soler-Lopez, L.R., and Licha-Soler, N., 2014, Sedimentation survey of Lago Loíza, Trujillo Alto, Puerto Rico, July 2009: U.S. Geological Survey Scientific Investigations Map 3219, 30.14 inches x 31.62 inches, https://doi.org/10.3133/sim3219.","productDescription":"30.14 inches x 31.62 inches","additionalOnlineFiles":"N","ipdsId":"IP-023006","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":280832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3219.jpg"},{"id":280830,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3219/"},{"id":280831,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3219/pdf/SIM3219.pdf"}],"projection":"Lambert conformal conic","datum":"Puerto Rico datum, 1940 adjustment","country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -66.041667,18.266667 ], [ -66.041667,18.325000 ], [ -66.000000,18.325000 ], [ -66.000000,18.266667 ], [ -66.041667,18.266667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d50bd0e4b0f19e63d9b38d","contributors":{"authors":[{"text":"Soler-Lopez, Luis R.","contributorId":27501,"corporation":false,"usgs":true,"family":"Soler-Lopez","given":"Luis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":485811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Licha-Soler, N.A.","contributorId":60945,"corporation":false,"usgs":true,"family":"Licha-Soler","given":"N.A.","email":"","affiliations":[],"preferred":false,"id":485812,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70058705,"text":"sir20135231 - 2014 - Geochemical investigation of the hydrothermal system on Akutan Island, Alaska, July 2012","interactions":[],"lastModifiedDate":"2019-02-25T13:51:26","indexId":"sir20135231","displayToPublicDate":"2014-01-09T10:42:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5231","title":"Geochemical investigation of the hydrothermal system on Akutan Island, Alaska, July 2012","docAbstract":"We have studied the geochemistry of the hot springs on Akutan Island in detail for the first time since the early 1980s. Springs in four discrete groups (A-D) along Hot Springs Creek showed generally higher temperatures and substantially higher Na, Ca, and Cl concentrations than previously reported, and total hot-spring discharge has also increased markedly. The springs now account for a heat output of ~29 MW, about an order of magnitude more than in 1981. Gas samples from the hot springs and from a fumarolic area on the flank of Akutan Volcano show high 3He/4He ratios (>6.4 RA) after correction for air contamination and reveal a common magmatic heat source. Hot-spring gases are unusually rich in N2, Ar, and CH4, suggesting that the water has boiled and lost CO2 during upflow beneath the flank fumarole field. Gas geothermometry calculations applied to the flank fumarole field implies temperatures of 200–240 °C for the reservoir, and Na-K-Ca geothermometry implies temperatures near 180 °C for the outflow waters that feed the hot springs. The results of our study confirm the existence of a substantial geothermal resource on the island.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135231","usgsCitation":"Bergfeld, D., Lewicki, J.L., Evans, W.C., Hunt, A.G., Revesz, K., and Huebner, M., 2014, Geochemical investigation of the hydrothermal system on Akutan Island, Alaska, July 2012: U.S. Geological Survey Scientific Investigations Report 2013-5231, v, 19 p., https://doi.org/10.3133/sir20135231.","productDescription":"v, 19 p.","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-049254","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":619,"text":"Volcano Science Center-Menlo Park","active":false,"usgs":true}],"links":[{"id":280792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135231.jpg"},{"id":280790,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5231/"},{"id":280791,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5231/pdf/sir2013-5231.pdf"}],"country":"United States","state":"Alaska","otherGeospatial":"Akutan Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.0067,54.099921 ], [ -166.0067,54.168981 ], [ -165.760835,54.168981 ], [ -165.760835,54.099921 ], [ -166.0067,54.099921 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52cfc565e4b07de2a9490b56","contributors":{"authors":[{"text":"Bergfeld, D. dbergfel@usgs.gov","contributorId":2069,"corporation":false,"usgs":true,"family":"Bergfeld","given":"D.","email":"dbergfel@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":487269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewicki, Jennifer L. 0000-0003-1994-9104 jlewicki@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-9104","contributorId":5071,"corporation":false,"usgs":true,"family":"Lewicki","given":"Jennifer","email":"jlewicki@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":487272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":487270,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":487268,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Revesz, Kinga","contributorId":64285,"corporation":false,"usgs":true,"family":"Revesz","given":"Kinga","affiliations":[],"preferred":false,"id":487273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Huebner, Mark mhuebner@usgs.gov","contributorId":4349,"corporation":false,"usgs":true,"family":"Huebner","given":"Mark","email":"mhuebner@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":487271,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70057602,"text":"sir20135121 - 2014 - In-situ sediment oxygen demand rates in Hammonton Creek, Hammonton, New Jersey, and Crosswicks Creek, near New Egypt, New Jersey, August-October 2009","interactions":[],"lastModifiedDate":"2014-01-09T09:23:32","indexId":"sir20135121","displayToPublicDate":"2014-01-09T09:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5121","title":"In-situ sediment oxygen demand rates in Hammonton Creek, Hammonton, New Jersey, and Crosswicks Creek, near New Egypt, New Jersey, August-October 2009","docAbstract":"

Sediment oxygen demand rates were measured in Hammonton Creek, Hammonton, New Jersey, and Crosswicks Creek, near New Egypt, New Jersey, during August through October 2009. These rates were measured as part of an ongoing water-quality monitoring program being conducted in cooperation with the New Jersey Department of Environmental Protection. Oxygen depletion rates were measured using in-situ test chambers and a non-consumptive optical electrode sensing technique for measuring dissolved oxygen concentrations. Sediment oxygen demand rates were calculated on the basis of these field measured oxygen depletion rates and the temperature of the stream water at each site.

\n
\n

Hammonton Creek originates at an impoundment, then flows through pine forest and agricultural fields, and receives discharge from a sewage-treatment plant. The streambed is predominantly sand and fine gravel with isolated pockets of organic-rich detritus. Sediment oxygen demand rates were calculated at four sites on Hammonton Creek and were found to range from -0.3 to -5.1 grams per square meter per day (g/m2/d), adjusted to 20 degrees Celsius. When deployed in pairs, the chambers produced similar values, indicating that the method was working as expected and yielding reproducible results. At one site where the chamber was deployed for more than 12 hours, dissolved oxygen was consumed linearly over the entire test period.

\n
\n

Crosswicks Creek originates in a marshy woodland area and then flows through woodlots and pastures. The streambed is predominantly silt and clay with some bedrock exposures. Oxygen depletion rates were measured at three sites within the main channel of the creek, and the calculated sediment oxygen demand rates ranged from -0.33 to -2.5 g/m2/d, adjusted to 20 degrees Celsius. At one of these sites sediment oxygen demand was measured in both a center channel flowing area of a pond in the stream and in a stagnant non-flowing area along the shore of the pond where organic-rich bottom sediments had accumulated and lower dissolved oxygen concentration conditions existed in the water column. Dissolved oxygen concentrations in the center channel test chamber showed a constant slow decrease over the entire test period. Oxygen consumption in the test chamber at the near-shore location began rapidly and then slowed over time as oxygen became depleted in the chamber. Depending on the portion of the near-shore dissolved oxygen depletion curve used, calculated sediment oxygen demand rates ranged from as low as -0.03 g/m2/d to as high as -10 g/m2/d. The wide range of sediment oxygen demand rates indicates that care must be taken when extrapolating sediment oxygen demand rates between stream sites that have different bottom sediment types and different flow regimes.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135121","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Wilson, T.P., 2014, In-situ sediment oxygen demand rates in Hammonton Creek, Hammonton, New Jersey, and Crosswicks Creek, near New Egypt, New Jersey, August-October 2009: U.S. Geological Survey Scientific Investigations Report 2013-5121, vi, 18 p., https://doi.org/10.3133/sir20135121.","productDescription":"vi, 18 p.","numberOfPages":"28","onlineOnly":"Y","temporalStart":"2009-08-01","temporalEnd":"2009-10-31","ipdsId":"IP-023293","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":280788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135121.jpg"},{"id":280786,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5121/"},{"id":280787,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5121/pdf/sir2013-5121.pdf"}],"country":"United States","state":"New Jersey","city":"Hammonton;New Egypt","otherGeospatial":"Crosswicks Creek;Hammonton Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.749603,40.029849 ], [ -74.749603,40.210605 ], [ -74.410057,40.210605 ], [ -74.410057,40.029849 ], [ -74.749603,40.029849 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52cfc566e4b07de2a9490b5d","contributors":{"authors":[{"text":"Wilson, Timothy P. 0000-0003-1914-6344 tpwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1914-6344","contributorId":3752,"corporation":false,"usgs":true,"family":"Wilson","given":"Timothy","email":"tpwilson@usgs.gov","middleInitial":"P.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":486839,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70074658,"text":"70074658 - 2014 - Seabed fluid expulsion along the upper slope and outer shelf of the U.S. Atlantic continental margin","interactions":[],"lastModifiedDate":"2017-11-18T10:05:08","indexId":"70074658","displayToPublicDate":"2014-01-08T09:34:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Seabed fluid expulsion along the upper slope and outer shelf of the U.S. Atlantic continental margin","docAbstract":"Identifying the spatial distribution of seabed fluid expulsion features is crucial for understanding the substrate plumbing system of any continental margin. A 1100 km stretch of the U.S. Atlantic margin contains more than 5000 pockmarks at water depths of 120 m (shelf edge) to 700 m (upper slope), mostly updip of the contemporary gas hydrate stability zone (GHSZ). Advanced attribute analyses of high-resolution multichannel seismic reflection data reveal gas-charged sediment and probable fluid chimneys beneath pockmark fields. A series of enhanced reflectors, inferred to represent hydrate-bearing sediments, occur within the GHSZ. Differential sediment loading at the shelf edge and warming-induced gas hydrate dissociation along the upper slope are the proposed mechanisms that led to transient changes in substrate pore fluid overpressure, vertical fluid/gas migration, and pockmark formation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/2013GL058048","usgsCitation":"Brothers, D., Ruppel, C., Kluesner, J., ten Brink, U., Chaytor, J., Hill, J.C., Andrews, B., and Flores, C., 2014, Seabed fluid expulsion along the upper slope and outer shelf of the U.S. Atlantic continental margin: Geophysical Research Letters, v. 41, no. 1, p. 96-101, https://doi.org/10.1002/2013GL058048.","productDescription":"6 p.","startPage":"96","endPage":"101","numberOfPages":"6","ipdsId":"IP-052938","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473229,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2013gl058048","text":"External Repository"},{"id":281871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281816,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013GL058048"}],"country":"United States","otherGeospatial":"Atlantic Margin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.0,34.0 ], [ -77.0,44.0 ], [ -65.0,44.0 ], [ -65.0,34.0 ], [ -77.0,34.0 ] ] ] } } ] }","volume":"41","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-08","publicationStatus":"PW","scienceBaseUri":"53cd719ee4b0b29085107ca1","chorus":{"doi":"10.1002/2013gl058048","url":"http://dx.doi.org/10.1002/2013gl058048","publisher":"Wiley-Blackwell","authors":"Brothers D. 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Possible indicators of liquid surface water on Mars include intermittent flow-like features observed on sloping terrains. These recurring slope lineae are narrow, dark markings on steep slopes that appear and incrementally lengthen during warm seasons on low-albedo surfaces. The lineae fade in cooler seasons and recur over multiple Mars years. Recurring slope lineae were initially reported to appear and lengthen at mid-latitudes in the late southern spring and summer and are more common on equator-facing slopes where and when the peak surface temperatures are higher. Here we report extensive activity of recurring slope lineae in equatorial regions of Mars, particularly in the deep canyons of Valles Marineris, from analysis of data acquired by the Mars Reconnaissance Orbiter. We observe the lineae to be most active in seasons when the slopes often face the sun. Expected peak temperatures suggest that activity may not depend solely on temperature. Although the origin of the recurring slope lineae remains an open question, our observations are consistent with intermittent flow of briny water. Such an origin suggests surprisingly abundant liquid water in some near-surface equatorial regions of Mars.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","doi":"10.1038/ngeo2014","usgsCitation":"McEwen, A.S., Dundas, C.M., Mattson, S.S., Toigo, A.D., Ojha, L., Wray, J.J., Chojnacki, M., Byrne, S., Murchie, S., and Thomas, N., 2014, Recurring slope lineae in equatorial regions of Mars: Nature Geoscience, v. 7, p. 53-58, https://doi.org/10.1038/ngeo2014.","productDescription":"6 p.","startPage":"53","endPage":"58","numberOfPages":"6","ipdsId":"IP-049887","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":280686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280685,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/ngeo2014"}],"otherGeospatial":"Mars","volume":"7","noUsgsAuthors":false,"publicationDate":"2013-12-10","publicationStatus":"PW","scienceBaseUri":"52cd21ffe4b0c3f95143ed10","contributors":{"authors":[{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":487975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":487972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mattson, Sarah S.","contributorId":74235,"corporation":false,"usgs":true,"family":"Mattson","given":"Sarah","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":487977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toigo, Anthony D.","contributorId":104393,"corporation":false,"usgs":true,"family":"Toigo","given":"Anthony","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":487981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ojha, Lujendra","contributorId":64933,"corporation":false,"usgs":true,"family":"Ojha","given":"Lujendra","affiliations":[],"preferred":false,"id":487976,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wray, James J.","contributorId":81736,"corporation":false,"usgs":false,"family":"Wray","given":"James","email":"","middleInitial":"J.","affiliations":[{"id":7032,"text":"School of Earth and Atmospheric Sciences, Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":487978,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chojnacki, Matthew","contributorId":96576,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Matthew","affiliations":[],"preferred":false,"id":487980,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Byrne, Shane","contributorId":53513,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":487974,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murchie, Scott L.","contributorId":22615,"corporation":false,"usgs":true,"family":"Murchie","given":"Scott L.","affiliations":[],"preferred":false,"id":487973,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thomas, Nicolas","contributorId":90580,"corporation":false,"usgs":true,"family":"Thomas","given":"Nicolas","affiliations":[],"preferred":false,"id":487979,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ]}