{"pageNumber":"198","pageRowStart":"4925","pageSize":"25","recordCount":16458,"records":[{"id":98496,"text":"ofr20101096 - 2010 - Floods of May and June 2008 in Iowa","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"ofr20101096","displayToPublicDate":"2010-07-03T00:00:00","publicationYear":"2010","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":"2010-1096","title":"Floods of May and June 2008 in Iowa","docAbstract":"An unusually wet winter and spring of 2007 to 2008 resulted in extremely wet antecedent conditions throughout most of Iowa. Rainfall of 5 to 15 inches was observed in eastern Iowa during May 2008, and an additional 5 to 15 inches of rain was observed throughout most of Iowa in June. Because of the severity of the May and June 2008 flooding, the U.S. Geological Survey, in cooperation with other Federal, State, and local agencies, has summarized the meteorological and hydrological conditions leading to the flooding, compiled flood-peak stages and discharges, and estimated revised flood probabilities for 62 selected streamgages.\r\n\r\nRecord peak discharges or flood probabilities of 1 percent or smaller (100-year flooding or greater) occurred at more than 60 streamgage locations, particularly in eastern Iowa. Cedar Rapids, Decorah, Des Moines, Iowa City, Mason City, and Waterloo were among the larger urban areas affected by this flooding. High water and flooding in small, headwater streams in north-central and eastern Iowa, particularly in June, combined and accumulated in large, mainstem rivers and resulted in flooding of historic proportions in the Cedar and Iowa Rivers. Previous flood-peak discharges at many locations were exceeded by substantial amounts, in some cases nearly doubling the previous record peak discharge at locations where more than 100 years of streamflow record are available.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101096","collaboration":"Prepared in cooperation with various Federal, State, and local agencies","usgsCitation":"Buchmiller, R.C., and Eash, D.A., 2010, Floods of May and June 2008 in Iowa: U.S. Geological Survey Open-File Report 2010-1096, iv, 10 p., https://doi.org/10.3133/ofr20101096.","productDescription":"iv, 10 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-05-01","temporalEnd":"2008-06-30","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":125854,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1096.jpg"},{"id":13884,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1096/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.63333333333334,40.38333333333333 ], [ -96.63333333333334,43.5 ], [ -90.13333333333334,43.5 ], [ -90.13333333333334,40.38333333333333 ], [ -96.63333333333334,40.38333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d9e4b07f02db5dfa0f","contributors":{"authors":[{"text":"Buchmiller, Robert C.","contributorId":72372,"corporation":false,"usgs":true,"family":"Buchmiller","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":305528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eash, David A. 0000-0002-2749-8959 daeash@usgs.gov","orcid":"https://orcid.org/0000-0002-2749-8959","contributorId":1887,"corporation":false,"usgs":true,"family":"Eash","given":"David","email":"daeash@usgs.gov","middleInitial":"A.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305527,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70200019,"text":"70200019 - 2010 - Coupled arsenotrophy in a hot spring photosynthetic biofilm at Mono Lake, California","interactions":[],"lastModifiedDate":"2018-10-10T15:41:02","indexId":"70200019","displayToPublicDate":"2010-07-01T15:40:21","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Coupled arsenotrophy in a hot spring photosynthetic biofilm at Mono Lake, California","docAbstract":"<div id=\"abstract-1\" class=\"section abstract\"><p id=\"p-1\">Red-pigmented biofilms grow on rock and cobble surfaces present in anoxic hot springs located on Paoha Island in Mono Lake. The bacterial community was dominated (∼ 85% of 16S rRNA gene clones) by sequences from the photosynthetic<span>&nbsp;</span><i>Ectothiorhodospira</i>genus. Scraped biofilm materials incubated under anoxic conditions rapidly oxidized As(III) to As(V) in the light via anoxygenic photosynthesis but could also readily reduce As(V) to As(III) in the dark at comparable rates. Back-labeling experiments with<span>&nbsp;</span><sup>73</sup>As(V) demonstrated that reduction to<span>&nbsp;</span><sup>73</sup>As(III) also occurred in the light, thereby illustrating the cooccurrence of these two anaerobic processes as an example of closely coupled arsenotrophy. Oxic biofilms also oxidized As(III) to As(V). Biofilms incubated with [<sup>14</sup>C]acetate oxidized the radiolabel to<span>&nbsp;</span><sup>14</sup>CO<sub>2</sub><span>&nbsp;</span>in the light but not the dark, indicating a capacity for photoheterotrophy but not chemoheterotrophy. Anoxic, dark-incubated samples demonstrated As(V) reduction linked to additions of hydrogen or sulfide but not acetate. Chemoautotrophy linked to As(V) as measured by dark fixation of [<sup>14</sup>C]bicarbonate into cell material was stimulated by either H<sub>2</sub><span>&nbsp;</span>or HS<sup>−</sup>. Functional genes for the arsenate respiratory reductase (<i>arrA</i>) and arsenic resistance (<i>arsB</i>) were detected in sequenced amplicons of extracted DNA, with about half of the<span>&nbsp;</span><i>arrA</i><span>&nbsp;</span>sequences closely related (∼98% translated amino acid identity) to those from the family<span>&nbsp;</span><i>Ectothiorhodospiraceae</i>. Surprisingly, no authentic PCR products for arsenite oxidase (<i>aoxB</i>) were obtained, despite observing aerobic arsenite oxidation activity. Collectively, these results demonstrate close linkages of these arsenic redox processes occurring within these biofilms.</p></div><p id=\"p-2\">Oxyanions of the group 15 element arsenic, arsenate [As(V)] and arsenite [As(III)], have been known for millennia to be potent poisons. Despite its well-established toxicity to life, the phenomenon of arsenic resistance was discovered whereby some microorganisms maintain an otherwise “normal” existence in the presence of high concentrations of As(V) or As(III) (17,<span>&nbsp;</span>29,<span>&nbsp;</span>31). More recently it has become recognized that certain representatives from the bacterial and archaeal domains can actually exploit the electrochemical potential of the As(V)/As(III) redox couple (+130 mV) to gain energy for growth. This can be achieved either by employing As(III) as an autotrophic electron donor or by using As(V) as a respiratory electron acceptor (18,<span>&nbsp;</span>21,<span>&nbsp;</span>34). The latter phenomenon, although most commonly associated with chemoheterotrophy, can also employ inorganic substances like sulfide or H<sub>2</sub>. Indeed, As(V)-respiring anaerobes displaying a capacity for chemoautotrophy with these electron donors have been isolated and described (5,<span>&nbsp;</span>7,<span>&nbsp;</span>16). We recently reported that photoautotrophy is supported by As(III) in anoxic biofilms located in hot springs on Paoha Island in Mono Lake, CA (15). This process represented a novel means of As(III) oxidation achieved via anoxygenic photosynthesis occurring in certain photosynthetic bacteria (i.e.,<span>&nbsp;</span><i>Ectothiorhodospira</i>) and possibly within some cyanobacteria as well (e.g., “<i>Oscillatoria</i>”).</p><p id=\"p-3\">Whether or not a microbial habitat is overtly oxic or anoxic, or temporally shifts between these two states over a diel cycle, critical energy linkages between aerobes and anaerobes have long been known for the biogeochemical cycles of key elements, such as sulfur, iron, and nitrogen. Most prominently studied is the case of nitrogen, whereby an ecological coupling exists between the processes of nitrification and denitrification (9,<span>&nbsp;</span>10,<span>&nbsp;</span>28). The former process provides energy to aerobic nitrifiers, while the latter process consumes the nitrate produced by this reaction, thereby meeting the energy needs of the denitrifiers.</p><p id=\"p-4\">For arsenic, the detection of both As(III) oxidation and As(V) reduction in oxic and anoxic incubations of freshly collected periphyton suggested that an analogous coupled process may also occur for this element (12). Similarly, several uncontaminated soils in Japan displayed a capacity for either As(V) reduction or As(III) oxidation upon arsenic oxyanion amendment and whether they were incubated under oxic or anoxic conditions (39). A defined coculture consisting of an aerobic As(III) oxidizer (strain OL1) and an anaerobic As(V) respirer (strain Y5) was shown to function in this fashion under manipulated laboratory conditions of oxygen tension (26). We pursued the phenomenon of coupled arsenic metabolism further by using materials collected from the hot spring biofilms in Mono Lake, but we focused on examination of the cycling of arsenic under anoxic conditions.</p><p id=\"p-5\">In this paper we report results obtained by manipulated incubations of red-pigmented biofilms found in the hot springs of Paoha Island. Preliminary community characterizations of these biofilms show that they are dominated by<span>&nbsp;</span><i>B</i><i>acteria</i><span>&nbsp;</span>from the genus<span>&nbsp;</span><i>Ectothiorhodospira</i><span>&nbsp;</span>but also harbor an assemblage of<span>&nbsp;</span><i>Archaea</i><span>&nbsp;</span>related to the<span>&nbsp;</span><i>Halobacteriacaea</i>. Incubation results have demonstrated the presence of the following arsenic metabolic activities: respiratory As(V) reduction, photosynthetic anaerobic As(III) oxidation, and aerobic As(III) oxidation, along with the ecophysiological conditions under which they occur. Surprisingly, we were unable to obtain authentic PCR products for arsenite oxidase genes (<i>aoxB</i>), despite observing aerobic As(III) oxidation activity. These biofilms serve as a model system for how anaerobic cycling of arsenic can be sustained with oxidation of As(III) by anoxygenic photosynthesis coupled to regeneration of this electron donor via dissimilatory As(V) reduction. The significance that such a light-driven anaerobic ecosystem may have played in the Archean Earth is discussed.</p>","language":"English","publisher":"American Society for Microbiology Journals","doi":"10.1128/AEM.00545-10","usgsCitation":"Hoeft, S.E., Kulp, T.R., Han, S., Lanoil, B., and Oremland, R.S., 2010, Coupled arsenotrophy in a hot spring photosynthetic biofilm at Mono Lake, California: Applied and Environmental Microbiology, v. 76, no. 14, p. 4633-4639, https://doi.org/10.1128/AEM.00545-10.","productDescription":"7 p.","startPage":"4633","endPage":"4639","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475693,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2901740","text":"External Repository"},{"id":358255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mono Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.148,37.940 ], [ -119.148,38.075 ], [ -118.909,38.075 ], [ -118.909,37.940 ], [ -119.148,37.940 ] ] ] } } ] }","volume":"76","issue":"14","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10c6b6e4b034bf6a7f4668","contributors":{"authors":[{"text":"Hoeft, Shelley E.","contributorId":54077,"corporation":false,"usgs":true,"family":"Hoeft","given":"Shelley","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":747829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulp, Thomas R.","contributorId":15948,"corporation":false,"usgs":true,"family":"Kulp","given":"Thomas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":747830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Han, Sukkyun","contributorId":95739,"corporation":false,"usgs":true,"family":"Han","given":"Sukkyun","email":"","affiliations":[],"preferred":false,"id":747831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lanoil, Brian","contributorId":29683,"corporation":false,"usgs":true,"family":"Lanoil","given":"Brian","email":"","affiliations":[],"preferred":false,"id":747832,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":747833,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70168805,"text":"70168805 - 2010 - Resilience of Alaska’s boreal forest to climatic change","interactions":[],"lastModifiedDate":"2016-03-04T13:13:44","indexId":"70168805","displayToPublicDate":"2010-07-01T14:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Resilience of Alaska’s boreal forest to climatic change","docAbstract":"<p>This paper assesses the resilience of Alaska&rsquo;s boreal forest system to rapid climatic change. Recent warming is associated with reduced growth of dominant tree species, plant disease and insect outbreaks, warming and thawing of permafrost, drying of lakes, increased wildfire extent, increased postfire recruitment of deciduous trees, and reduced safety of hunters traveling on river ice. These changes have modified key structural features, feedbacks, and interactions in the boreal forest, including reduced effects of upland permafrost on regional hydrology, expansion of boreal forest into tundra, and amplification of climate warming because of reduced albedo (shorter winter season) and carbon release from wildfires. Other temperature-sensitive processes for which no trends have been detected include composition of plant and microbial communities, long-term landscape-scale change in carbon stocks, stream discharge, mammalian population dynamics, and river access and subsistence opportunities for rural indigenous communities. Projections of continued warming suggest that Alaska&rsquo;s boreal forest will undergo significant functional and structural changes within the next few decades that are unprecedented in the last 6000 years. The impact of these social&ndash;ecological changes will depend in part on the extent of landscape reorganization between uplands and lowlands and on policies regulating subsistence opportunities for rural communities.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Forest Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Research Council of Canada","publisherLocation":"Ottawa","doi":"10.1139/X10-074","usgsCitation":"Chapin, F., McGuire, A.D., Ruess, R.W., Hollingsworth, T.N., Mack, M., Johnstone, J., Kasischke, E., Euskirchen, E., Jones, J.B., Jorgenson, M., Kielland, K., Kofinas, G., Turetsky, M., Yarie, J., Lloyd, A., and Taylor, D., 2010, Resilience of Alaska’s boreal forest to climatic change: Canadian Journal of Forest Research, v. 40, no. 7, p. 1360-1370, https://doi.org/10.1139/X10-074.","productDescription":"11 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David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":621830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruess, Roger W.","contributorId":45483,"corporation":false,"usgs":false,"family":"Ruess","given":"Roger","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":621909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hollingsworth, Teresa N.","contributorId":19016,"corporation":false,"usgs":true,"family":"Hollingsworth","given":"Teresa","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":621910,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mack, M.C.","contributorId":87238,"corporation":false,"usgs":true,"family":"Mack","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":621911,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnstone, J.F.","contributorId":9560,"corporation":false,"usgs":true,"family":"Johnstone","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":621912,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kasischke, E.S.","contributorId":61201,"corporation":false,"usgs":true,"family":"Kasischke","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":621913,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Euskirchen, E.S.","contributorId":44737,"corporation":false,"usgs":true,"family":"Euskirchen","given":"E.S.","affiliations":[],"preferred":false,"id":621914,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Jack B.","contributorId":65788,"corporation":false,"usgs":true,"family":"Jones","given":"Jack","middleInitial":"B.","affiliations":[],"preferred":false,"id":621915,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jorgenson, M.T.","contributorId":26889,"corporation":false,"usgs":true,"family":"Jorgenson","given":"M.T.","affiliations":[],"preferred":false,"id":621916,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kielland, K.","contributorId":98932,"corporation":false,"usgs":true,"family":"Kielland","given":"K.","affiliations":[],"preferred":false,"id":621917,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kofinas, G.","contributorId":23752,"corporation":false,"usgs":true,"family":"Kofinas","given":"G.","affiliations":[],"preferred":false,"id":621918,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Turetsky, M.R.","contributorId":107470,"corporation":false,"usgs":true,"family":"Turetsky","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":621919,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Yarie, J.","contributorId":92847,"corporation":false,"usgs":true,"family":"Yarie","given":"J.","affiliations":[],"preferred":false,"id":621920,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lloyd, A.H.","contributorId":91683,"corporation":false,"usgs":true,"family":"Lloyd","given":"A.H.","email":"","affiliations":[],"preferred":false,"id":621921,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Taylor, D.L.","contributorId":50676,"corporation":false,"usgs":true,"family":"Taylor","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":621922,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70200010,"text":"70200010 - 2010 - Pharmaceutical formulation facilities as sources of opioids and other pharmaceuticals to wastewater treatment plant effluents","interactions":[],"lastModifiedDate":"2021-05-27T18:02:23.725934","indexId":"70200010","displayToPublicDate":"2010-07-01T12:46:09","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Pharmaceutical formulation facilities as sources of opioids and other pharmaceuticals to wastewater treatment plant effluents","docAbstract":"<p>Facilities involved in the manufacture of pharmaceutical products are an under-investigated source of pharmaceuticals to the environment. Between 2004 and 2009, 35 to 38 effluent samples were collected from each of three wastewater treatment plants (WWTPs) in New York and analyzed for seven pharmaceuticals including opioids and muscle relaxants. Two WWTPs (NY2 and NY3) receive substantial flows (&gt;20% of plant flow) from pharmaceutical formulation facilities (PFF) and one (NY1) receives no PFF flow. Samples of effluents from 23 WWTPs across the United States were analyzed once for these pharmaceuticals as part of a national survey. Maximum pharmaceutical effluent concentrations for the national survey and NY1 effluent samples were generally &lt;1 microg/L. Four pharmaceuticals (methadone, oxycodone, butalbital, and metaxalone) in samples of NY3 effluent had median concentrations ranging from 3.4 to &gt;400 microg/L. Maximum concentrations of oxycodone (1700 microg/L) and metaxalone (3800 microg/L) in samples from NY3 effluent exceeded 1000 microg/L. Three pharmaceuticals (butalbital, carisoprodol, and oxycodone) in samples of NY2 effluent had median concentrations ranging from 2 to 11 microg/L. These findings suggest that current manufacturing practices at these PFFs can result in pharmaceuticals concentrations from 10 to 1000 times higher than those typically found in WWTP effluents.<br></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es100356f","usgsCitation":"Phillips, P.J., Smith, S.G., Kolpin, D.W., Stinson, B.W., Zaugg, S.D., Buxton, H.T., Furlong, E.T., and Esposito, K., 2010, Pharmaceutical formulation facilities as sources of opioids and other pharmaceuticals to wastewater treatment plant effluents: Environmental Science & Technology, v. 44, no. 13, p. 4910-4916, https://doi.org/10.1021/es100356f.","productDescription":"7 p.","startPage":"4910","endPage":"4916","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475695,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2893609","text":"Publisher Index Page"},{"id":358248,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"13","noUsgsAuthors":false,"publicationDate":"2010-06-04","publicationStatus":"PW","scienceBaseUri":"5c10c6b6e4b034bf6a7f4673","contributors":{"authors":[{"text":"Phillips, Patrick J. 0000-0001-5915-2015 pjphilli@usgs.gov","orcid":"https://orcid.org/0000-0001-5915-2015","contributorId":172757,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick","email":"pjphilli@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Steven G. sgsmith@usgs.gov","contributorId":1560,"corporation":false,"usgs":true,"family":"Smith","given":"Steven","email":"sgsmith@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":747735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stinson, Brooke W.","contributorId":208570,"corporation":false,"usgs":false,"family":"Stinson","given":"Brooke","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":747737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zaugg, Steven D. sdzaugg@usgs.gov","contributorId":768,"corporation":false,"usgs":true,"family":"Zaugg","given":"Steven","email":"sdzaugg@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":747738,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buxton, Herbert T. hbuxton@usgs.gov","contributorId":1911,"corporation":false,"usgs":true,"family":"Buxton","given":"Herbert","email":"hbuxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":747739,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":747740,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Esposito, Kathleen","contributorId":21835,"corporation":false,"usgs":true,"family":"Esposito","given":"Kathleen","email":"","affiliations":[],"preferred":false,"id":747741,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70200006,"text":"70200006 - 2010 - Antibiotic fate and transport in three effluent-dominated Ozark streams","interactions":[],"lastModifiedDate":"2018-10-10T11:11:12","indexId":"70200006","displayToPublicDate":"2010-07-01T11:10:31","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Antibiotic fate and transport in three effluent-dominated Ozark streams","docAbstract":"<p><span>Antibiotic&nbsp;transport downstream from a&nbsp;wastewater treatment plant&nbsp;effluent&nbsp;discharge was evaluated along stream reaches on Mud Creek, Spring Creek, and Decatur Branch in northwestern Arkansas, USA. Water and streambed samples were collected during August and September 2006 and analyzed for multiple antibiotics representing five classes (beta-lactams, macrolides,&nbsp;quinolones,&nbsp;sulfonamides, and tetracyclines). Antibiotics within the classes macrolides, quinolones, and sulfonamides were detected in the water column at all three stream reaches. Several of these same antibiotics, as well as antibiotics from the class tetracycline, were measured in streambed material at quantities significantly greater than those observed in the water column. Pseudo-partitioning coefficients ranged from 4 to &gt;8000</span><span>&nbsp;</span><span>L</span><span>&nbsp;</span><span>kg</span><sup>−1</sup><span>. Most of the antibiotics studied were significantly retained in the reaches at Mud Creek and Spring Creek and traveled kilometer-scale distances (</span><i>S</i><sub>net</sub><span>, 3.3–20.2</span><span>&nbsp;</span><span>km) with low uptake velocities (</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mi is=&quot;true&quot;>v</mi><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>f-net</mtext></mrow></msub></mrow></math>\"><span class=\"MJX_Assistive_MathML\">vf-net</span></span></span><span>, 2.9–16.1</span><span>&nbsp;</span><span>×</span><span>&nbsp;</span><span>10</span><sup>−6</sup><span>&nbsp;</span><span>m</span><span>&nbsp;</span><span>s</span><sup>−1</sup><span>) and rates (</span><i>U</i><sub>net</sub><span>&nbsp;0.01–37.9</span><span>&nbsp;</span><span>×</span><span>&nbsp;</span><span>10</span><sup>−6</sup><span>&nbsp;</span><span>μg</span><span>&nbsp;</span><span>m</span><sup>−2</sup><span>&nbsp;</span><span>s</span><sup>−1</sup><span>). Some antibiotics increased in concentration downstream from the effluent discharge at Decatur Branch, suggesting possible release from within the fluvial&nbsp;channel&nbsp;or additional sources along the stream reach. In general, antibiotics traveled kilometer-scale distances before significant dilution occurred through in-stream processes (e.g.,&nbsp;advection, dispersion,&nbsp;sorption, uptake and/or degradation) within the fluvial channel of these effluent-dominated streams.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2010.04.009","usgsCitation":"Massey, L.B., Haggard, B.E., Galloway, J.M., Loftin, K.A., Meyer, M.T., and Green, W.R., 2010, Antibiotic fate and transport in three effluent-dominated Ozark streams: Ecological Engineering, v. 36, no. 7, p. 930-938, https://doi.org/10.1016/j.ecoleng.2010.04.009.","productDescription":"9 p.","startPage":"930","endPage":"938","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":358243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Mud Creek, Spring Creek, Decatur Branch","volume":"36","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10c6b6e4b034bf6a7f4676","contributors":{"authors":[{"text":"Massey, Leslie B.","contributorId":208565,"corporation":false,"usgs":false,"family":"Massey","given":"Leslie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":747719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haggard, Brian E.","contributorId":20299,"corporation":false,"usgs":true,"family":"Haggard","given":"Brian","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":747720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":747722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":747723,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Green, W. Reed","contributorId":87886,"corporation":false,"usgs":true,"family":"Green","given":"W.","email":"","middleInitial":"Reed","affiliations":[],"preferred":false,"id":747724,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70200005,"text":"70200005 - 2010 - Identification of a novel arsenite oxidase gene, arxA, in the haloalkaliphilic, arsenite-oxidizing bacterium alkalilimnicola ehrlichii strain MLHE-1","interactions":[],"lastModifiedDate":"2018-10-10T11:01:24","indexId":"70200005","displayToPublicDate":"2010-07-01T11:00:03","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2192,"text":"Journal of Bacteriology","active":true,"publicationSubtype":{"id":10}},"title":"Identification of a novel arsenite oxidase gene, arxA, in the haloalkaliphilic, arsenite-oxidizing bacterium alkalilimnicola ehrlichii strain MLHE-1","docAbstract":"<div id=\"abstract-1\" class=\"section abstract\"><p id=\"p-1\">Although arsenic is highly toxic to most organisms, certain prokaryotes are known to grow on and respire toxic metalloids of arsenic (i.e., arsenate and arsenite). Two enzymes are known to be required for this arsenic-based metabolism: (i) the arsenate respiratory reductase (ArrA) and (ii) arsenite oxidase (AoxB). Both catalytic enzymes contain molybdopterin cofactors and form distinct phylogenetic clades (ArrA and AoxB) within the dimethyl sulfoxide (DMSO) reductase family of enzymes. Here we report on the genetic identification of a “new” type of arsenite oxidase that fills a phylogenetic gap between the ArrA and AoxB clades of arsenic metabolic enzymes. This “new” arsenite oxidase is referred to as ArxA and was identified in the genome sequence of the Mono Lake isolate<span>&nbsp;</span><i>Alkalilimnicola ehrlichii</i><span>&nbsp;</span>MLHE-1, a chemolithoautotroph that can couple arsenite oxidation to nitrate reduction. A genetic system was developed for MLHE-1 and used to show that<span>&nbsp;</span><i>arxA</i><span>&nbsp;</span>(gene locus ID<span>&nbsp;</span><i>mlg</i>_<i>0216</i>) was required for chemoautotrophic arsenite oxidation. Transcription analysis also showed that<span>&nbsp;</span><i>mlg</i>_<i>0216</i><span>&nbsp;</span>was only expressed under anaerobic conditions in the presence of arsenite. The<span>&nbsp;</span><i>mlg</i>_<i>0216</i><span>&nbsp;</span>gene is referred to as<span>&nbsp;</span><i>arxA</i><span>&nbsp;</span>because of its greater homology to<span>&nbsp;</span><i>arrA</i><span>&nbsp;</span>relative to<span>&nbsp;</span><i>aoxB</i><span>&nbsp;</span>and previous reports that implicated Mlg_0216 (ArxA) of MLHE-1 in reversible arsenite oxidation and arsenate reduction<span>&nbsp;</span><i>in vitro</i>. Our results and past observations support the position that ArxA is a distinct clade within the DMSO reductase family of proteins. These results raise further questions about the evolutionary relationships between arsenite oxidases (AoxB) and arsenate respiratory reductases (ArrA).</p></div><p id=\"p-2\">Arsenic is toxic to most organisms and is known to cause cancer in humans. However, bacteria have adapted several biotransformation pathways that function to either couple the reduction or oxidation of arsenicals to energy conservation and growth (1). The enzymologies of these two pathways have several features in common. The arsenate respiratory reductase (ArrAB) and arsenite oxidase (AoxAB) enzymes are usually composed of at least two subunits, a small iron-sulfur cluster-containing subunit (ArrB and AoxA) and a larger molybdopterin-containing catalytic subunit (ArrA and AoxB). Although they catalyze arsenic redox chemistry, ArrA and AoxB form distinct phylogenetic clades within the dimethyl sulfoxide (DMSO) reductase family of molybdenum-containing enzymes (16,<span>&nbsp;</span>24).</p><p id=\"p-3\">Culture-dependent approaches have resulted in the isolation of a variety of diverse bacteria that metabolize arsenic (reviewed in reference<span>&nbsp;</span>26). Many of these isolates have had their genomes sequenced, which has been insightful for understanding the composition and diversity of<span>&nbsp;</span><i>arr</i>and<span>&nbsp;</span><i>aox</i><span>&nbsp;</span>gene clusters. In the arsenite-oxidizing nitrate reducer<span>&nbsp;</span><i>Alkalilimnicola ehrlichii</i><span>&nbsp;</span>strain MLHE-1 (a haloalkaliphile isolated from Mono Lake [CA]) (10,<span>&nbsp;</span>15), bioinformatic analysis of its genome revealed the absence of genes homologous to the arsenite oxidase genes of the<span>&nbsp;</span><i>aoxB</i>type. Instead, two genes (<i>mlg</i>_<i>0216</i><span>&nbsp;</span>and<span>&nbsp;</span><i>mlg</i>_<i>2426</i>) were identified that better resembled the catalytic subunit of the arsenate respiratory reductase (20); however, MLHE-1 has not been shown to respire (or reduce) arsenate (15). Recent work by Richey et al. (20) showed that the Mlg_0216 protein (and not Mlg_2426) was expressed under chemolithoautotrophic (10 mM arsenite and 10 mM nitrate) growth conditions. Moreover, it was shown that Mlg_0216 exhibits both arsenate reductase and arsenite oxidase activities<span>&nbsp;</span><i>in vitro</i>. These observations raised the question, is the<span>&nbsp;</span><i>mlg</i>_<i>0216</i><span>&nbsp;</span>gene required for arsenite oxidation<span>&nbsp;</span><i>in vivo</i>? In this report, we addressed this question by developing a genetic system in MLHE-1, generating strains with mutations in<span>&nbsp;</span><i>mlg</i>_<i>0216</i><span>&nbsp;</span>and<span>&nbsp;</span><i>mlg</i>_<i>2426</i>, and physiologically characterizing the resulting strains. Our results implicate<span>&nbsp;</span><i>mlg</i>_<i>0216</i><span>&nbsp;</span>in chemolithoautotrophic arsenite oxidation coupled to nitrate respiration.</p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/JB.00244-10","usgsCitation":"Zargar, K., Hoeft, S.E., Oremland, R.S., and Saltikov, C.W., 2010, Identification of a novel arsenite oxidase gene, arxA, in the haloalkaliphilic, arsenite-oxidizing bacterium alkalilimnicola ehrlichii strain MLHE-1: Journal of Bacteriology, v. 192, no. 14, p. 3755-3762, https://doi.org/10.1128/JB.00244-10.","productDescription":"8 p.","startPage":"3755","endPage":"3762","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475697,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/jb.00244-10","text":"Publisher Index Page"},{"id":358242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"192","issue":"14","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10c6b7e4b034bf6a7f467d","contributors":{"authors":[{"text":"Zargar, Kamrun","contributorId":52446,"corporation":false,"usgs":true,"family":"Zargar","given":"Kamrun","email":"","affiliations":[],"preferred":false,"id":747715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoeft, Shelley E.","contributorId":54077,"corporation":false,"usgs":true,"family":"Hoeft","given":"Shelley","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":747716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":747717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saltikov, Chad W.","contributorId":66110,"corporation":false,"usgs":true,"family":"Saltikov","given":"Chad","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":747718,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70248931,"text":"70248931 - 2010 - Channel geomorphic responses to disturbances assessed using streamgage information","interactions":[],"lastModifiedDate":"2023-09-26T15:50:23.119873","indexId":"70248931","displayToPublicDate":"2010-07-01T10:34:32","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Channel geomorphic responses to disturbances assessed using streamgage information","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 2nd Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2nd Joint Federal Interagency Conference","conferenceDate":"June 27-July 1, 2010","conferenceLocation":"Las Vegas, Nevada, United States","language":"English","publisher":"Advisory Committee on Water Information","usgsCitation":"Juracek, K.E., and Bowen, M.W., 2010, Channel geomorphic responses to disturbances assessed using streamgage information, <i>in</i> Proceedings of the 2nd Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling, Las Vegas, Nevada, United States, June 27-July 1, 2010, p. 1-10.","productDescription":"10 p.","startPage":"1","endPage":"10","costCenters":[],"links":[{"id":421202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":421200,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/"}],"country":"United States","state":"Kansas","otherGeospatial":"John Redmond Reservoir, Kanopolis Lake, Milford Dam, Neosho River, Republican River, Smoky Hill 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,{"id":70157986,"text":"70157986 - 2010 - Grain-size evolution in suspended sediment and deposits from the 2004 and 2008 controlled-flood experiments in Marble and Grand Canyons, Arizona","interactions":[],"lastModifiedDate":"2022-11-01T17:45:52.982397","indexId":"70157986","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Grain-size evolution in suspended sediment and deposits from the 2004 and 2008 controlled-flood experiments in Marble and Grand Canyons, Arizona","docAbstract":"<p><span>Since the closure of Glen Canyon Dam in 1963, the hydrology, sediment supply, and distribution and size of modern alluvial deposits in the Colorado River through Grand Canyon have changed substantially (e.g., Howard and Dolan, 1981; Johnson and Carothers, 1987; Webb et al., 1999; Rubin et al., 2002; Topping et al., 2000, 2003; Wright et al., 2005; Hazel et al., 2006). The dam has reduced the fluvial sediment supply at the upstream boundary of Grand Canyon National Park by about 95 percent. Regulation of river discharge by dam operations has important implications for the storage and redistribution of sediment in the Colorado River corridor. In the absence of natural floods, sediment is not deposited at elevations that regularly received sediment before dam closure. There has been a systemwide decrease in the size and number of subaerially exposed fluvial sand deposits since the 1960s, punctuated by episodic aggradation during the exceptional high-flow intervals in the early 1980s and by sediment input from occasional tributary floods (Beus and others, 1985; Schmidt and Graf, 1990; Kearsley et al., 1994; Schmidt et al., 2004; Wright et al., 2005; Hazel et al., 2006). Fluvial sandbars are an important component of riparian ecology that, among other functions, enclose eddy backwaters that form native-fish habitat, provide a source for eolian sand that protects some archaeological sites, and are used as campsites by thousands of river-runners annually (Rubin et al., 1990; Kearsley et al., 1994; Neal et al., 2000; Wright et al., 2005; Draut and Rubin, 2008).</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling","conferenceDate":"June 27-July 1, 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Draut, A., Topping, D.J., Rubin, D.M., Wright, S., and Schmidt, J.C., 2010, Grain-size evolution in suspended sediment and deposits from the 2004 and 2008 controlled-flood experiments in Marble and Grand Canyons, Arizona, <i>in</i> Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues, Las Vegas, Nevada, June 27-July 1, 2010, 12 p.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":308950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":330691,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand and Marble Canyons","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n 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drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":574629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":574630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidt, John C. 0000-0002-2988-3869 jcschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-2988-3869","contributorId":1983,"corporation":false,"usgs":true,"family":"Schmidt","given":"John","email":"jcschmidt@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":574631,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70157325,"text":"70157325 - 2010 - The use of the multi-dimensional surface-water modeling system (MD-SWMS) in calculating discharge and sediment transport in remote ephemeral streams","interactions":[],"lastModifiedDate":"2021-11-09T16:24:02.853824","indexId":"70157325","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The use of the multi-dimensional surface-water modeling system (MD-SWMS) in calculating discharge and sediment transport in remote ephemeral streams","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues","conferenceDate":"June 27-July 1 2010","conferenceLocation":"Las Vegas, NV","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Griffiths, P.G., Topping, D.J., McDonald, R.R., and Sabol, T., 2010, The use of the multi-dimensional surface-water modeling system (MD-SWMS) in calculating discharge and sediment transport in remote ephemeral streams, <i>in</i> Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues, Las Vegas, NV, June 27-July 1 2010, 12 p.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019532","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":49157,"text":"Rocky Mountain Regional Office","active":true,"usgs":true}],"links":[{"id":308287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fd35c0e4b05d6c4e502c83","contributors":{"authors":[{"text":"Griffiths, Peter G. 0000-0002-8663-8907 pggriffi@usgs.gov","orcid":"https://orcid.org/0000-0002-8663-8907","contributorId":187,"corporation":false,"usgs":true,"family":"Griffiths","given":"Peter","email":"pggriffi@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":572692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":572693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":572694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sabol, Thomas A.","contributorId":67186,"corporation":false,"usgs":true,"family":"Sabol","given":"Thomas A.","affiliations":[],"preferred":false,"id":572695,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70157573,"text":"70157573 - 2010 - Potential mitigation approach to minimize salinity intrusion in the Lower Savannah River Estuary due to reduced controlled releases from Lake Thurmond","interactions":[],"lastModifiedDate":"2022-11-01T18:04:54.383559","indexId":"70157573","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Potential mitigation approach to minimize salinity intrusion in the Lower Savannah River Estuary due to reduced controlled releases from Lake Thurmond","docAbstract":"<p><span>The Savannah River originates at the confluence of the Seneca and Tugaloo Rivers, near Hartwell, Ga. and forms the State boundary between South Carolina and Georgia. The J. Strom Thurmond Dam and Lake, located 187 miles upstream from the coast, is responsible for most of the flow regulation that affects the Savannah River from Augusta to the coast. The Savannah Harbor experiences semi-diurnal tides of two high and two low tides in a 24.8-hour period with pronounced differences in tidal range between neap and spring tides occurring on a 14-day and 28-day lunar cycle. The Savannah National Wildlife Refuge is located in the Savannah River Estuary. The tidal freshwater marsh is an essential part of the 28,000-acre refuge and is home to a diverse variety of wildlife and plant communities. The Southeastern U.S. experienced severe drought conditions in 2008 and if the conditions had persisted in Georgia and South Carolina, Thurmond Lake could have reached an emergency operation level where outflow from the lake is equal to the inflow to the lake. To decrease the effect of the reduced releases on downstream resources, a stepped approach was proposed to reduce the flow in increments of 500 cubic feet per second (ft<sup>3</sup>/s) intervals. Reduced flows from 3,600 ft<sup>3</sup>/s to 3,100 ft<sup>3</sup>/s and 2,600 ft<sup>3</sup>/s were simulated with two previously developed models of the Lower Savannah River Estuary to evaluate the potential effects on salinity intrusion. The end of the previous drought (2002) was selected as the baseline condition for the simulations with the model. Salinity intrusion coincided with the 28-day cycle semidiurnal tidal cycles. The results show a difference between the model simulations of how the salinity will respond to the decreased flows. The Model-to-Marsh Decision Support System (M2MDSS) salinity response shows a large increase in the magnitude (&gt; 6.0 practical salinity units, psu) and duration (3-4 days) of the salinity intrusion with extended periods (21 days) of tidal freshwater remaining in the system. The Environmental Fluid Dynamic Code (EFDC) model predicts increases in the magnitude of the salinity intrusion but only to 2 and 3 psu and the intrusion duration greater than a week. A potential mitigation to the increased salinity intrusion predicted by the M2MDSS would be to time pulses of increase flows to reduce the magnitude of the intrusion. Seven-day streamflow pulses of 4,500 ft<sup>3</sup>/s were inserted into the constant 3,100 ft<sup>3</sup>/s streamflow condition. The streamflow pulses did substantially decrease the magnitude and duration of the salinity intrusion. The result of the streamflow pulse scenario demonstrates how alternative release patterns from Lake Thurmond could be utilized to mitigate potential salinity changes in the Lower Savannah River Estuary.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues","conferenceTitle":"Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues","conferenceDate":"June 27-July 1 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Conrads, P., and Greenfield, J.M., 2010, Potential mitigation approach to minimize salinity intrusion in the Lower Savannah River Estuary due to reduced controlled releases from Lake Thurmond, <i>in</i> Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues, Las Vegas, Nevada, June 27-July 1 2010, 9 p.","productDescription":"9 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":308673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, South Carolina","otherGeospatial":"Savannah River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.75765539236411,\n              35.17323528735028\n            ],\n            [\n              -83.47207663625336,\n              35.06535251781659\n            ],\n            [\n              -83.64793417321053,\n              34.62335157507212\n            ],\n            [\n              -82.47188689480815,\n              33.43009230326392\n            ],\n            [\n              -81.6365635942608,\n              32.73017626249711\n            ],\n            [\n              -81.0540355030896,\n              31.632511705952396\n            ],\n            [\n              -80.62538275675567,\n              32.16439163685108\n            ],\n            [\n              -81.1529553676278,\n              33.1176605854625\n            ],\n            [\n              -81.88935880363692,\n              34.09710899144052\n            ],\n            [\n              -82.75765539236411,\n              35.17323528735028\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560a64e0e4b058f706e536ea","contributors":{"authors":[{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":573683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greenfield, James M.","contributorId":148052,"corporation":false,"usgs":false,"family":"Greenfield","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":573684,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178328,"text":"70178328 - 2010 - Delineating a road-salt plume in lakebed sediments using electrical resistivity, piezometers, and seepage meters at Mirror Lake, New Hampshire, U.S.A","interactions":[],"lastModifiedDate":"2016-11-14T13:05:40","indexId":"70178328","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Delineating a road-salt plume in lakebed sediments using electrical resistivity, piezometers, and seepage meters at Mirror Lake, New Hampshire, U.S.A","docAbstract":"<p><span>Electrical-resistivity surveys, seepage meter measurements, and drive-point piezometers have been used to characterize chloride-enriched groundwater in lakebed sediments of Mirror Lake, New Hampshire, U.S.A. A combination of bottom-cable and floating-cable electrical-resistivity surveys identified a conductive zone </span><span id=\"inline-formula-1\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M1&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mo>(</mo><mo>&amp;lt;</mo><mn>100</mn><mspace width=&quot;0.3em&quot; /><mtext>ohm-</mtext><mi mathvariant=&quot;normal&quot;>m</mi><mo>)</mo></mrow></math>\"><span id=\"M1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow\"><span id=\"MathJax-Span-4\" class=\"mo\">(</span><span id=\"MathJax-Span-5\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-6\" class=\"mn\">100</span><span id=\"MathJax-Span-7\" class=\"mspace\"></span><span id=\"MathJax-Span-8\" class=\"mtext\">ohm-</span><span id=\"MathJax-Span-9\" class=\"mi\">m</span><span id=\"MathJax-Span-10\" class=\"mo\">)</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">(&lt;100ohm-m)</span></span></span></span><span> overlying resistive bedrock </span><span id=\"inline-formula-2\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M2&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mo>(</mo><mo>&amp;lt;</mo><mn>1000</mn><mspace width=&quot;0.3em&quot; /><mtext>ohm-</mtext><mi mathvariant=&quot;normal&quot;>m</mi><mo>)</mo></mrow></math>\"><span id=\"M2\" class=\"math\"><span><span><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"mrow\"><span id=\"MathJax-Span-14\" class=\"mo\">(</span><span id=\"MathJax-Span-15\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-16\" class=\"mn\">1000</span><span id=\"MathJax-Span-17\" class=\"mspace\"></span><span id=\"MathJax-Span-18\" class=\"mtext\">ohm-</span><span id=\"MathJax-Span-19\" class=\"mi\">m</span><span id=\"MathJax-Span-20\" class=\"mo\">)</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">(&lt;1000ohm-m)</span></span></span></span><span>beneath the lake. Shallow pore-water samples from piezometers in lakebed sediments have chloride concentrations of </span><span id=\"inline-formula-3\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M3&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mn>200</mn><mo>&amp;#x2013;</mo><mn>1800</mn><mspace width=&quot;0.3em&quot; /><mi>&amp;#x3BC;</mi><mi>eq</mi><mo>/</mo><mtext>liter</mtext></mrow></math>\"><span id=\"M3\" class=\"math\"><span><span><span id=\"MathJax-Span-22\" class=\"mrow\"><span id=\"MathJax-Span-23\" class=\"mrow\"><span id=\"MathJax-Span-24\" class=\"mn\">200</span><span id=\"MathJax-Span-25\" class=\"mo\">–</span><span id=\"MathJax-Span-26\" class=\"mn\">1800</span><span id=\"MathJax-Span-27\" class=\"mspace\"></span><span id=\"MathJax-Span-28\" class=\"mi\">μ</span><span id=\"MathJax-Span-29\" class=\"mi\">eq</span><span id=\"MathJax-Span-30\" class=\"mo\">/</span><span id=\"MathJax-Span-31\" class=\"mtext\">liter</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">200–1800μeq/liter</span></span></span></span><span>, and lake water has a chloride concentration of </span><span id=\"inline-formula-4\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M4&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mn>104</mn><mspace width=&quot;0.3em&quot; /><mi>&amp;#x3BC;</mi><mi>eq</mi><mo>/</mo><mtext>liter</mtext></mrow></math>\"><span id=\"M4\" class=\"math\"><span><span><span id=\"MathJax-Span-33\" class=\"mrow\"><span id=\"MathJax-Span-34\" class=\"mrow\"><span id=\"MathJax-Span-35\" class=\"mn\">104</span><span id=\"MathJax-Span-36\" class=\"mspace\"></span><span id=\"MathJax-Span-37\" class=\"mi\">μ</span><span id=\"MathJax-Span-38\" class=\"mi\">eq</span><span id=\"MathJax-Span-39\" class=\"mo\">/</span><span id=\"MathJax-Span-40\" class=\"mtext\">liter</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">104μeq/liter</span></span></span></span><span>. The extent of the plume was estimated and mapped using resistivity and water-sample data. The plume (</span><span id=\"inline-formula-5\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M5&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mn>20</mn><mo>&amp;#xD7;</mo><mn>35</mn><mspace width=&quot;0.3em&quot; /><mi mathvariant=&quot;normal&quot;>m</mi></mrow></math>\"><span id=\"M5\" class=\"math\"><span><span><span id=\"MathJax-Span-42\" class=\"mrow\"><span id=\"MathJax-Span-43\" class=\"mrow\"><span id=\"MathJax-Span-44\" class=\"mn\">20</span><span id=\"MathJax-Span-45\" class=\"mo\">×</span><span id=\"MathJax-Span-46\" class=\"mn\">35</span><span id=\"MathJax-Span-47\" class=\"mspace\"></span><span id=\"MathJax-Span-48\" class=\"mi\">m</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">20×35m</span></span></span></span><span> wide and at least </span><span id=\"inline-formula-6\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-6-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M6&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mn>3</mn><mspace width=&quot;0.3em&quot; /><mi mathvariant=&quot;normal&quot;>m</mi></mrow></math>\"><span id=\"M6\" class=\"math\"><span><span><span id=\"MathJax-Span-50\" class=\"mrow\"><span id=\"MathJax-Span-51\" class=\"mrow\"><span id=\"MathJax-Span-52\" class=\"mn\">3</span><span id=\"MathJax-Span-53\" class=\"mspace\"></span><span id=\"MathJax-Span-54\" class=\"mi\">m</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">3m</span></span></span></span><span> thick) extends nearly the full length and width of a small inlet, overlying the top of a basin formed by the bedrock. It would not have been possible to mapthe plume's shape without the resistivity surveys because wells provided only limited coverage. Seepage meters were installed approximately </span><span id=\"inline-formula-7\" class=\"inline-formula\"><span class=\"math mml\"><span id=\"MathJax-Element-7-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M7&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mn>40</mn><mspace width=&quot;0.3em&quot; /><mi mathvariant=&quot;normal&quot;>m</mi></mrow></math>\"><span id=\"M7\" class=\"math\"><span><span><span id=\"MathJax-Span-56\" class=\"mrow\"><span id=\"MathJax-Span-57\" class=\"mrow\"><span id=\"MathJax-Span-58\" class=\"mn\">40</span><span id=\"MathJax-Span-59\" class=\"mspace\"></span><span id=\"MathJax-Span-60\" class=\"mi\">m</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">40m</span></span></span></span><span> from the mouth of a small stream discharging at the head of the inlet in an area where the resistivity data indicated lake sediments are thin. These meters recorded in-seepage of chloride-enriched groundwater at rates similar to those observed closer to shore, which was unexpected because seepage usually declines away from shore. Although the concentration of road salt in the northeast inlet stream is declining, the plume map and seepage data indicate the groundwater contribution of road salt to the lake is not declining. The findings demonstrate the benefit of combining geophysical and hydrologic data to characterize discharge of a plume beneath Mirror Lake. The extent of the plume in groundwater beneath the lake and stream indicate there will likely be a long-term source of chloride to the lake from groundwater.</span></p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3467505","usgsCitation":"Toran, L., Johnson, M., Nyquist, J.E., and Rosenberry, D.O., 2010, Delineating a road-salt plume in lakebed sediments using electrical resistivity, piezometers, and seepage meters at Mirror Lake, New Hampshire, U.S.A: Geophysics, v. 75, no. 4, p. WA75-WA83, https://doi.org/10.1190/1.3467505.","productDescription":"9 p.","startPage":"WA75","endPage":"WA83","numberOfPages":"9","ipdsId":"IP-016831","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":330977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire","otherGeospatial":"Mirror Lake","volume":"75","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582adb46e4b0c253bdfff0c0","contributors":{"authors":[{"text":"Toran, Laura","contributorId":81622,"corporation":false,"usgs":false,"family":"Toran","given":"Laura","email":"","affiliations":[{"id":34225,"text":"Temple University, Philadelphia, Pa.","active":true,"usgs":false}],"preferred":false,"id":653605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Melanie","contributorId":176824,"corporation":false,"usgs":false,"family":"Johnson","given":"Melanie","email":"","affiliations":[],"preferred":false,"id":653606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nyquist, Jonathan E.","contributorId":101801,"corporation":false,"usgs":false,"family":"Nyquist","given":"Jonathan","email":"","middleInitial":"E.","affiliations":[{"id":34225,"text":"Temple University, Philadelphia, Pa.","active":true,"usgs":false}],"preferred":false,"id":653604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":653603,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156801,"text":"70156801 - 2010 - Field evaluation of sediment-concentration errors arising from Non-Isokinetic intake efficiency in depth-integrating suspended-sediment bag samplers","interactions":[],"lastModifiedDate":"2015-08-28T09:06:44","indexId":"70156801","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Field evaluation of sediment-concentration errors arising from Non-Isokinetic intake efficiency in depth-integrating suspended-sediment bag samplers","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues","conferenceTitle":"Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues","conferenceDate":"June 27-July 1 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Sabol, T., Topping, D.J., and Griffiths, R.E., 2010, Field evaluation of sediment-concentration errors arising from Non-Isokinetic intake efficiency in depth-integrating suspended-sediment bag samplers, <i>in</i> Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues, Las Vegas, Nevada, June 27-July 1 2010, 12 p.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":307672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307671,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e18631e4b05561fa206ab5","contributors":{"authors":[{"text":"Sabol, Thomas A.","contributorId":67186,"corporation":false,"usgs":true,"family":"Sabol","given":"Thomas A.","affiliations":[],"preferred":false,"id":570594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":570595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":570596,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156674,"text":"70156674 - 2010 - Discriminating silt-and-clay from suspended-sand in rivers using side-looking acoustic profilers","interactions":[],"lastModifiedDate":"2021-11-09T16:59:09.052305","indexId":"70156674","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Discriminating silt-and-clay from suspended-sand in rivers using side-looking acoustic profilers","docAbstract":"<p><span>The ability to accurately monitor suspended-sediment flux in rivers is needed to support many types of studies, because the sediment that typically travels in suspension affects geomorphology and aquatic habitat in a variety of ways (e.g. bank and floodplain deposition, bar morphology, light penetration and primary productivity, tidal wetland deposition in the context of sea-level rise, sediment-associated contaminants, reservoir sedimentation and potential erosion during dam removal, among others). In addition, human-induced changes to the landscape have resulted in substantially altered suspended-sediment loads (Syvitski et al., 2005). Thus, accurate monitoring of suspended-sediment flux is necessary for informed resource management of rivers. Because of this need, a variety of techniques have been developed and applied for suspendedsediment monitoring. The traditional approach in the United States, which was developed and has been used extensively by the U.S. Geological Survey (USGS), is to collect an isokinetic, velocity-weighted sample from a river cross-section, analyze the sample in the laboratory, and use water-discharge records to compute a record of suspended-sediment flux (Guy, 1969, Guy, 1970, Edwards and Glysson, 1999, Porterfield, 1972). The labor and expense associated with this traditional approach is substantial such that the number of USGS gages reporting daily records of suspended-sediment flux decreased from 364 in 1981 to 120 in 2003 (Osterkamp et al., 2004). Also, the traditional sampling approach is limited with respect to the temporal resolution that can be achieved, thus requiring the use of approximate relations between suspended-sediment concentration and water discharge to fill gaps between samples. To address these limitations, several indirect or \"surrogate\" measures have been investigated (see e.g. Gray and Gartner, 2009) most notably optical backscatter (i.e. turbidity), laser-diffraction, and acoustic backscatter. These indirect techniques rely on measurements of ancillary properties that correlate with suspended-sediment concentration and particle size and thus require the collection of traditional samples for calibration. Through in situ deployments, these methods can provide the high temporal resolution that cannot be achieved through traditional sampling. Here we focus on the evaluation of acoustic profiling techniques (e.g. acoustic-Doppler sideways-looking profilers, or ADPs). One major advantage of acoustic profiling is the ability to concurrently measure water velocity (using Doppler-shift methods) and suspended-sediment concentration such that suspended-sediment flux can be directly computed using data from a single instrument. Acoustic-Doppler profilers have become popular for measuring water velocity and discharge in rivers, through both moving-boat operations and from fixed deployments such as bank-mounted sideways-looking instruments (Hirsch and Costa, 2004, Muste et al., 2007). The method presented herein is most suited to sideways-looking applications as a complement to the \"index velocity\" technique, whereby an index velocity from a sideways-looking instrument is related to the cross-section average velocity (determined from moving-boat discharge measurements) as a means for developing a continuous water-discharge record (Ruhl and Simpson, 2005). Topping et al. (2007) presented a method for discriminating silt-and-clay from suspended sand, using single frequency ADPs. This method takes advantage of the relations among acoustic backscatter, sediment-induced acoustic attenuation, suspended-sediment concentration (SSC), and particle size distribution (PSD). Backscatter is the amount of sound scattered back and received at the transducer while sediment-induced attenuation is the amount of sound scattered in other directions and absorbed by the sediment particles. Both of these parameters can be measured with an ADP, and their different dependencies on SSC and PSD allow for the discrimination of suspended silt-and-clay from suspended sand. Topping et al. (2007) describe application of the method at several sites along the Colorado River in Grand Canyon, and herein we present an example application of the technique for the Gunnison River, CO. However, the methods general applicability in rivers has yet to be evaluated due to a lack of concurrent acoustic and sediment data at a range of sites. To this end, the objective of the analysis presented herein is to evaluate the potential general applicability of the method, drawing from the extensive USGS database on SSC and PSD. We refer to it as \"potential\" general applicability because it relies on the theory underlying the previous empirical results. Use of the theoretical relations is necessary due to the lack of concurrent ADP and SSC/PSD data, but also serves the additional purpose of providing further justification of the empirical calibrations developed for the Colorado and Gunnison Rivers.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues","conferenceDate":"June 27-July 1 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Wright, S., Topping, D.J., and Williams, C.A., 2010, Discriminating silt-and-clay from suspended-sand in rivers using side-looking acoustic profilers, <i>in</i> Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues, Las Vegas, Nevada, June 27-July 1 2010, 12 p.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010590","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":307470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dd91b1e4b0518e354dd150","contributors":{"authors":[{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":569906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":569907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":569908,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156726,"text":"70156726 - 2010 - Estimating salinity intrusion effects due to climate change along the Grand Strand of the South Carolina coast","interactions":[],"lastModifiedDate":"2022-11-08T17:51:30.62022","indexId":"70156726","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Estimating salinity intrusion effects due to climate change along the Grand Strand of the South Carolina coast","docAbstract":"<p><span>The ability of water-resource managers to adapt to future climatic change is especially challenging in coastal regions of the world. The East Coast of the United States falls into this category given the high number of people living along the Atlantic seaboard and the added strain on resources as populations continue to increase, particularly in the Southeast. Increased temperatures, changes in regional precipitation regimes, and potential increased sea level would have a great impact on existing hydrological systems in the region. Six reservoirs in North Carolina discharge into the Pee Dee River, which flows 160 miles through South Carolina to the coastal communities near Myrtle Beach, SC. During the Southeast&rsquo;s record-breaking drought from 1998 to 2002, salinity intrusions inundated a coastal municipal freshwater intake, limiting water supplies. Salinity intrusion results from the interaction of three principal forces - streamflow, mean tidal water levels, and tidal range. To analyze, model, and simulate hydrodynamic behaviors at critical coastal streamgages along the Atlantic Intracoastal Waterway (AIW) near Myrtle Beach, SC, data-mining techniques were applied to over 20 years of hourly streamflow, coastal water-quality, and water-level data. Artificial neural network (ANN) models were trained to learn the variable interactions that cause salinity intrusions. Streamflow from the 12,700 square-mile Pee Dee River Basin that flows into the AIW are input to the model as time-delayed variables and accumulated tributary inflows. Tidal inputs to the models were obtained by decomposing tidal water-level data into a &ldquo;periodic&rdquo; signal of tidal range and a &ldquo;chaotic&rdquo; signal of mean water levels. The ANN models were able to convincingly reproduce historical behaviors and generate alternative scenarios of interest. To evaluate the impact of climate change on salinity intrusion, inputs of streamflows and mean tidal water levels were modified to incorporate estimated changes in precipitation patterns and sea-level rise appropriate for the Southeastern United States. Changes in mean tidal water levels were changed parametrically for various sea-level rise conditions. Preliminary model results at the U.S. Geological Survey Pawleys Island streamgage (station 02110125) near a municipal freshwater intake indicate that a sea-level rise of 1 foot (ft, 30.5 centimeters [cm]) would double the frequency of water with a specific conductance value of 2,000 microsiemens per centimeter close to 4 percent. A 2 ft (61 cm) sea-level rise would quadruple the frequency to 9 percent.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues","conferenceDate":"June 27-July 1 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Conrads, P., Roehl, E.A., Sexton, C.T., Tufford, D.L., Carbone, G.J., Dow, K., and Cook, J., 2010, Estimating salinity intrusion effects due to climate change along the Grand Strand of the South Carolina coast, <i>in</i> Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues, Las Vegas, Nevada, June 27-July 1 2010, 9 p.","productDescription":"9 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":307591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307590,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/"}],"country":"United States","state":"South Carolina","otherGeospatial":"Grand Strand of South Carolina coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.21835304633643,\n              33.16973460854814\n            ],\n            [\n              -79.20188347020616,\n              33.137561571781774\n            ],\n            [\n 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Jr.","contributorId":108083,"corporation":false,"usgs":false,"family":"Roehl","given":"Edwin","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":570273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sexton, Charles T.","contributorId":147101,"corporation":false,"usgs":false,"family":"Sexton","given":"Charles","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":570274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tufford, Daniel L. tufford@sc.edu","contributorId":147102,"corporation":false,"usgs":false,"family":"Tufford","given":"Daniel","email":"tufford@sc.edu","middleInitial":"L.","affiliations":[],"preferred":false,"id":570275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carbone, Gregory J. greg.carbone@sc.edu","contributorId":147103,"corporation":false,"usgs":false,"family":"Carbone","given":"Gregory","email":"greg.carbone@sc.edu","middleInitial":"J.","affiliations":[],"preferred":false,"id":570276,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dow, Kristin","contributorId":147104,"corporation":false,"usgs":false,"family":"Dow","given":"Kristin","email":"","affiliations":[],"preferred":false,"id":570277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cook, John B.","contributorId":45594,"corporation":false,"usgs":true,"family":"Cook","given":"John B.","affiliations":[],"preferred":false,"id":570278,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70156772,"text":"70156772 - 2010 - Evolving fluvial response of the Sandy River, Oregon, following removal of Marmot Dam","interactions":[],"lastModifiedDate":"2019-12-11T12:14:24","indexId":"70156772","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evolving fluvial response of the Sandy River, Oregon, following removal of Marmot Dam","docAbstract":"<p><span>The October 2007 removal of Marmot Dam on the Sandy River, Oregon, triggered a rapid sequence of fluvial responses as ~730,000 m3 of sand and gravel that filled the former reservoir were suddenly exposed to an energetic river. Using direct measurements of sediment transport, photogrammetry, and repeat surveys between transport events, we monitored the erosion, transport, and redeposition of this sediment in the hours, days, and months following breaching. Measurements of suspended load and bedload documented an initial spike in the flux of fine suspended sediment in the minutes after breaching followed by high rates of suspendedand bedload transport of sand. Significant gravel transport did not begin at a measurement site 0.4 km downstream of the dam until 18&ndash;20 hours after breaching, when bedload transport achieved rates of about 60 kg/s&mdash;rates that greatly exceeded concurrent measurements of less than 10 kg/s at sites upstream and farther downstream of the dam. Bedload transport rates just below the dam site remained 10&ndash;100 times above upstream and downstream rates through subsequent high flow events during the winter and spring of 2007 and 2008. Much of the elevated sediment load was derived from eroded reservoir sediment, which initially began eroding when a multi-meter-tall knickpoint migrated upstream 200 meters in the first hour. Rapid knickpoint migration triggered bank collapse in the unconsolidated fill, which swiftly widened the channel. Over the following days and months, the knickpoint migrated slowly upchannel, simultaneously lowering and becoming less distinct. By May 2008, a riffle-like feature approximately 1 m high, a few tens of meters long, and 2 km upstream from the breached dam persisted. Knickpoint and lateral erosion evacuated ~100,000 cubic meters of sediment from the reservoir in the first 60 hours, and by the end of high flows in May 2008 about 350,000 cubic meters (45 percent of the initial reservoir volume) had been evacuated. Large stormflows in November 2008 and January 2009 eroded another 39,000 cubic meters of sediment. Thus, within 15 months of breaching, about 55 percent of the impounded sediment (390,000 cubic meters) had been eroded. Two years after breaching, only another 10,000 m3 (~400,000 m3 total) had been eroded. About 30 percent of the eroded sediment has been redeposited in a tapered wedge of sediment that extends 2 km from the former dam site to the entrance of a confined bedrock gorge. Much of the balance of the eroded sediment is distributed along and partly fills pools within the Sandy River gorge, a narrow bedrock canyon extending 2&ndash;9 km downstream of the former dam site, and along the channel farther downstream.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling","conferenceDate":"June 27-July 1, 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Major, J.J., O’Connor, J., Podolak, C.J., Keith, M., Spicer, K.R., Wallick, J., Bragg, H., Pittman, S., Wilcock, P.R., Rhode, A., and Grant, G., 2010, Evolving fluvial response of the Sandy River, Oregon, following removal of Marmot Dam, <i>in</i> Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues, Las Vegas, Nevada, June 27-July 1, 2010, 11 p.","productDescription":"11 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":307646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307645,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/"}],"country":"United States","state":"Oregon","otherGeospatial":"Sandy River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.62664794921874,\n              45.28165078755851\n            ],\n            [\n              -121.66946411132812,\n              45.28165078755851\n            ],\n            [\n              -121.66946411132812,\n              45.596743928454124\n            ],\n            [\n              -122.62664794921874,\n              45.596743928454124\n            ],\n            [\n              -122.62664794921874,\n              45.28165078755851\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e034b9e4b0f42e3d040e13","contributors":{"authors":[{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":570455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Connor, Jim oconnor@usgs.gov","contributorId":2350,"corporation":false,"usgs":true,"family":"O’Connor","given":"Jim","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":570456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Podolak, Charles J.","contributorId":52849,"corporation":false,"usgs":true,"family":"Podolak","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":570457,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keith, Mackenzie K.","contributorId":16560,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie K.","affiliations":[],"preferred":false,"id":570458,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spicer, Kurt R. 0000-0001-5030-3198 krspicer@usgs.gov","orcid":"https://orcid.org/0000-0001-5030-3198","contributorId":2684,"corporation":false,"usgs":true,"family":"Spicer","given":"Kurt","email":"krspicer@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":570459,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wallick, J. 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,{"id":70158961,"text":"70158961 - 2010 - Suspended-sediment concentration regimes in Tennessee biological reference streams","interactions":[],"lastModifiedDate":"2015-10-08T17:05:10","indexId":"70158961","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Suspended-sediment concentration regimes in Tennessee biological reference streams","docAbstract":"<p><span>Suspended-sediment-concentration (SSC) regimes of five biological reference streams in Tennessee were characterized from 15-minute SSC records spanning 1 to 4 water years (October 1 through September 30) between 2004 and 2008. These streams represent least disturbed conditions for their respective ecoregions and have exceptional biodiversity in terms of fish or aquatic invertebrates. SSC regimes in streams, when plotted in terms of duration above a given SSC at a given annual frequency such as the annual maximum or the annual tenth longest duration, can be compared directly to published biological impairment thresholds derived from experimental trials. Based on such comparison, the SSC regimes of all five reference streams reached published impairment thresholds at least 10 times per water year for all years of record. The results suggest that the published impairment thresholds are not directly applicable to streams in Tennessee and, by extension, the southeastern United States.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues","conferenceTitle":"Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues","conferenceDate":"June 27-July 1 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Diehl, T.H., and Wolfe, W., 2010, Suspended-sediment concentration regimes in Tennessee biological reference streams, <i>in</i> Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues, Las Vegas, Nevada, June 27-July 1 2010, 12 p.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":309793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.29711914062499,\n              35.074964853989556\n            ],\n            [\n              -88.0389404296875,\n              35.08395557927643\n            ],\n            [\n              -88.05541992187499,\n              34.9805024453652\n            ],\n            [\n              -88.341064453125,\n              35.007502842952896\n            ],\n            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J.","email":"wjwolfe@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":577069,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70171527,"text":"70171527 - 2010 - Consumptive use and resulting leach-field water budget of a mountain residence","interactions":[],"lastModifiedDate":"2016-06-02T09:42:46","indexId":"70171527","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Consumptive use and resulting leach-field water budget of a mountain residence","docAbstract":"<p><span>Consumptive use of water in a dispersed rural community has important implications for maximum housing density and its effects on sustainability of groundwater withdrawals. Recent rapid growth in Colorado, USA has stressed groundwater supplies in some areas, thereby increasing scrutiny of approximate methods developed there more than 30&nbsp;years ago to estimate consumptive use that are still used today. A foothills residence was studied during a 2-year period to estimate direct and indirect water losses. Direct losses are those from evaporation inside the home, plus any outdoor use. Indirect loss is evapotranspiration (</span><i>ET</i><span>) from the residential leach-field in excess of&nbsp;</span><i>ET</i><span>&nbsp;from the immediately surrounding terrain. Direct losses were 18.7% of water supply to the home, substantially larger than estimated historically in Colorado. A new approach was developed to estimate indirect loss, using chamber methods together with the Penman&ndash;Monteith model. Indirect loss was only 0.9% of water supply, but this value probably was anomalously low due to a recurring leach-field malfunction. Resulting drainage beneath the leach-field was 80.4% of water supply. Guidelines are given to apply the same methodology at other sites and combine results with a survey of leach-fields in an area to obtain more realistic average values of&nbsp;</span><i>ET</i><span>&nbsp;losses.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2010.05.012","usgsCitation":"Stannard, D., Paul, W.T., Laws, R., and Poeter, E.P., 2010, Consumptive use and resulting leach-field water budget of a mountain residence: Journal of Hydrology, v. 388, no. 3-4, p. 335-349, https://doi.org/10.1016/j.jhydrol.2010.05.012.","productDescription":"15 p.","startPage":"335","endPage":"349","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011018","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":322080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Jefferson County","otherGeospatial":"Turkey Creek Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.6884765625,\n              39.35978526869001\n            ],\n            [\n              -105.6884765625,\n              39.918162846609455\n            ],\n            [\n              -105.084228515625,\n              39.918162846609455\n            ],\n            [\n              -105.084228515625,\n              39.35978526869001\n            ],\n            [\n              -105.6884765625,\n              39.35978526869001\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"388","issue":"3-4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575158aee4b053f0edd03c29","contributors":{"authors":[{"text":"Stannard, David distanna@usgs.gov","contributorId":169954,"corporation":false,"usgs":true,"family":"Stannard","given":"David","email":"distanna@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paul, William T.","contributorId":169956,"corporation":false,"usgs":false,"family":"Paul","given":"William","email":"","middleInitial":"T.","affiliations":[{"id":25641,"text":"CSM, Golden, CO","active":true,"usgs":false}],"preferred":false,"id":631603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laws, Roy","contributorId":169955,"corporation":false,"usgs":false,"family":"Laws","given":"Roy","email":"","affiliations":[{"id":25640,"text":"Dept. of Health, Golden, CO","active":true,"usgs":false}],"preferred":false,"id":631602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poeter, Eileen P.","contributorId":78805,"corporation":false,"usgs":true,"family":"Poeter","given":"Eileen","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":631601,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179291,"text":"70179291 - 2010 - Sediment management strategies associated with dam removal in the State of Washington","interactions":[],"lastModifiedDate":"2017-03-03T13:50:46","indexId":"70179291","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Sediment management strategies associated with dam removal in the State of Washington","docAbstract":"<p>Different removal strategies are described for dams in three diverse drainage basins (Wind River, White Salmon River, and Elwha River basins) in the State of Washington (USA). The comparisons between the strategies offer the opportunity to track the effects of sediment resulting from dam decommissioning in the Pacific Northwest and to determine possible effects on socio-economically important species of anadromous salmonids. Hemlock Dam, located on Trout Creek and managed by the United States Forest Service, was removed from July to September 2009. To mitigate the effect on fish downstream (specifically, salmonids) and to minimize sediment aggradation downstream in the main-stem Wind River, the Forest Service chose to excavate the approximately 42,000 cubic meters of sediment entrapped behind the dam before removal of the dam. Thus, the reach of Trout Creek downstream of the dam will not be affected by a large, released pulse of accumulated sediment. In contrast, the scheduled removal of Condit Dam, located on the White Salmon River 30 kilometers to the east of Hemlock Dam, involves a different removal strategy. Condit Dam will be breached near its base in order to mobilize the 1.7 million cubic meters of trapped sediment during the reservoir drawdown in an effort to decrease the time needed for the downstream reach to return to normal levels of suspended sediment. Finally, the much-anticipated 2011 removal of two dams on the Elwha River on the Olympic Peninsula in northwestern Washington will take place over 2 years with progressive notches cut into the dams from the top down. Although some portion of reservoir sediment will be carried downstream by the river, the specific timing of notching will be adaptively managed to mitigate the effects of raised sediment concentration on fishes and people living downstream. With improved scientific understanding from these studies, future damremoval projects can be planned and executed with approaches that mitigate deleterious effectson salmonids. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 2nd Joint Federal Interagency Conference (9th Federal Interagency Sedimentation Conference and 4th Federal Interagency Hydrologic Modeling Conference)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2nd Joint Federal Interagency Conference","conferenceDate":" June 27 - July 1, 2010","conferenceLocation":"Las Vegas, NV","language":"English","usgsCitation":"Magirl, C., Connolly, P., Coffin, B., Duda, J., and Draut, A., 2010, Sediment management strategies associated with dam removal in the State of Washington, <i>in</i> Proceedings of the 2nd Joint Federal Interagency Conference (9th Federal Interagency Sedimentation Conference and 4th Federal Interagency Hydrologic Modeling Conference), Las Vegas, NV,  June 27 - July 1, 2010, 10 p. .","productDescription":"10 p. ","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":334675,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/"}],"country":"United States","state":"Washington","otherGeospatial":"Condit Dam, Glines Canyon Dam, Elwha Dam, Hemlock Dam ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.90464019775392,\n              45.794339630460705\n            ],\n            [\n              -121.87305450439455,\n  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S. 0000-0002-9922-6549","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":73699,"corporation":false,"usgs":true,"family":"Magirl","given":"C. S.","affiliations":[],"preferred":false,"id":656665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, P.J.","contributorId":70141,"corporation":false,"usgs":true,"family":"Connolly","given":"P.J.","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":656666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coffin, B.","contributorId":177684,"corporation":false,"usgs":false,"family":"Coffin","given":"B.","email":"","affiliations":[],"preferred":false,"id":656667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duda, J.J. 0000-0001-7431-8634","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":105073,"corporation":false,"usgs":true,"family":"Duda","given":"J.J.","affiliations":[],"preferred":false,"id":656668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Draut, A.E.","contributorId":50273,"corporation":false,"usgs":true,"family":"Draut","given":"A.E.","affiliations":[],"preferred":false,"id":656669,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98487,"text":"ofr20101127 - 2010 - A probabilistic assessment methodology for the evaluation of geologic carbon dioxide storage","interactions":[],"lastModifiedDate":"2018-07-31T10:22:25","indexId":"ofr20101127","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","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":"2010-1127","title":"A probabilistic assessment methodology for the evaluation of geologic carbon dioxide storage","docAbstract":"<p>In 2007, the Energy Independence and Security Act (Public Law 110-140) authorized the U.S. Geological Survey (USGS) to conduct a national assessment of potential geologic storage resources for carbon dioxide (CO<sub>2</sub>) in cooperation with the U.S. Environmental Protection Agency and the U.S. Department of Energy. The first year of that activity was specified for development of a methodology to estimate storage potential that could be applied uniformly to geologic formations across the United States. After its release, the methodology was to receive public comment and external expert review. An initial methodology was developed and published in March 2009 (Burruss and others, 2009), and public comments were received. The report was then sent to a panel of experts for external review. The external review report was received by the USGS in December 2009. This report is in response to those external comments and reviews and describes how the previous assessment methodology (Burruss and others, 2009) was revised. The resource that is assessed is the technically accessible storage resource, which is defined as the mass of CO<sub>2</sub> that can be stored in the pore volume of a storage formation. The methodology that is presented in this report is intended to be used for assessments at scales ranging from regional to subbasinal in which storage assessment units are defined on the basis of common geologic and hydrologic characteristics. The methodology does not apply to site-specific evaluation of storage resources or capacity.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101127","usgsCitation":"Brennan, S.T., Burruss, R.A., Merrill, M., Freeman, P., and Ruppert, L.F., 2010, A probabilistic assessment methodology for the evaluation of geologic carbon dioxide storage: U.S. Geological Survey Open-File Report 2010-1127, viii, 27 p.; Appendices, https://doi.org/10.3133/ofr20101127.","productDescription":"viii, 27 p.; Appendices","onlineOnly":"Y","costCenters":[],"links":[{"id":125928,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1127.jpg"},{"id":13873,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1127/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110,42 ], [ -110,44 ], [ -106.5,44 ], [ -106.5,42 ], [ -110,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4964e4b0b290850ef1ef","contributors":{"authors":[{"text":"Brennan, Sean T. 0000-0002-7102-9359 sbrennan@usgs.gov","orcid":"https://orcid.org/0000-0002-7102-9359","contributorId":559,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean","email":"sbrennan@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burruss, Robert A. 0000-0001-6827-804X burruss@usgs.gov","orcid":"https://orcid.org/0000-0001-6827-804X","contributorId":558,"corporation":false,"usgs":true,"family":"Burruss","given":"Robert","email":"burruss@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":305493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":48256,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[],"preferred":false,"id":305497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Philip A. 0000-0002-0863-7431 pfreeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":193093,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","email":"pfreeman@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":305496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305495,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98478,"text":"sir20105098 - 2010 - Nitrate Loads and Concentrations in Surface-Water Base Flow and Shallow Groundwater for Selected Basins in the United States, Water Years 1990-2006","interactions":[],"lastModifiedDate":"2012-02-02T00:04:45","indexId":"sir20105098","displayToPublicDate":"2010-06-29T00:00:00","publicationYear":"2010","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":"2010-5098","title":"Nitrate Loads and Concentrations in Surface-Water Base Flow and Shallow Groundwater for Selected Basins in the United States, Water Years 1990-2006","docAbstract":"Hydrograph separation was used to determine the base-flow component of streamflow for 148 sites sampled as part of the National Water-Quality Assessment program. Sites in the Southwest and the Northwest tend to have base-flow index values greater than 0.5. Sites in the Midwest and the eastern portion of the Southern Plains generally have values less than 0.5. Base-flow index values for sites in the Southeast and Northeast are mixed with values less than and greater than 0.5. Hypothesized flow paths based on relative scaling of soil and bedrock permeability explain some of the differences found in base-flow index. Sites in areas with impermeable soils and bedrock (areas where overland flow may be the primary hydrologic flow path) tend to have lower base-flow index values than sites in areas with either permeable bedrock or permeable soils (areas where deep groundwater flow paths or shallow groundwater flow paths may occur). \r\n\r\nThe percentage of nitrate load contributed by base flow was determined using total flow and base flow nitrate load models. These regression-based models were calibrated using available nitrate samples and total streamflow or base-flow nitrate samples and the base-flow component of total streamflow. Many streams in the country have a large proportion of nitrate load contributed by base flow: 40 percent of sites have more than 50 percent of the total nitrate load contributed by base flow. Sites in the Midwest and eastern portion of the Southern Plains generally have less than 50 percent of the total nitrate load contributed by base flow. Sites in the Northern Plains and Northwest have nitrate load ratios that generally are greater than 50 percent. Nitrate load ratios for sites in the Southeast and Northeast are mixed with values less than and greater than 50 percent. Significantly lower contributions of nitrate from base flow were found at sites in areas with impermeable soils and impermeable bedrock. These areas could be most responsive to nutrient management practices designed to reduce nutrient transport to streams by runoff. Conversely, sites with potential for shallow or deep groundwater contribution (some combination of permeable soils or permeable bedrock) had significantly greater contributions of nitrate from base flow. Effective nutrient management strategies would consider groundwater nitrate contributions in these areas. \r\n\r\nMean annual base-flow nitrate concentrations were compared to shallow-groundwater nitrate concentrations for 27 sites. Concentrations in groundwater tended to be greater than base-flow concentrations for this group of sites. Sites where groundwater concentrations were much greater than base-flow concentrations were found in areas of high infiltration and oxic groundwater conditions. The lack of correspondingly high concentrations in the base flow of the paired surface-water sites may have multiple causes. In some settings, there has not been sufficient time for enough high-nitrate shallow groundwater to migrate to the nearby stream. In these cases, the stream nitrate concentrations lag behind those in the shallow groundwater, and concentrations may increase in the future as more high-nitrate groundwater reaches the stream. Alternatively, some of these sites may have processes that rapidly remove nitrate as water moves from the aquifer into the stream channel. \r\n\r\nPartitioning streamflow and nitrate load between the quick-flow and base-flow portions of the hydrograph coupled with relative scales of soil permeability can infer the importance of surface water compared to groundwater nitrate sources. Study of the relation of nitrate concentrations to base-flow index and the comparison of groundwater nitrate concentrations to stream nitrate concentrations during times when base-flow index is high can provide evidence of potential nitrate transport mechanisms. Accounting for the surface-water and groundwater contributions of nitrate is crucial to effective management and remediat","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105098","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Spahr, N.E., Dubrovsky, N.M., Gronberg, J.M., Franke, O.L., and Wolock, D.M., 2010, Nitrate Loads and Concentrations in Surface-Water Base Flow and Shallow Groundwater for Selected Basins in the United States, Water Years 1990-2006: U.S. Geological Survey Scientific Investigations Report 2010-5098, vii, 20 p.; Supplemental Information, https://doi.org/10.3133/sir20105098.","productDescription":"vii, 20 p.; Supplemental Information","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1990-01-01","temporalEnd":"2006-12-31","costCenters":[],"links":[{"id":125555,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5098.jpg"},{"id":13803,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5098/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af5e4b07f02db692252","contributors":{"authors":[{"text":"Spahr, Norman E. nspahr@usgs.gov","contributorId":1977,"corporation":false,"usgs":true,"family":"Spahr","given":"Norman","email":"nspahr@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":305471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dubrovsky, Neil M. 0000-0001-7786-1149 nmdubrov@usgs.gov","orcid":"https://orcid.org/0000-0001-7786-1149","contributorId":1799,"corporation":false,"usgs":true,"family":"Dubrovsky","given":"Neil","email":"nmdubrov@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gronberg, JoAnn M. 0000-0003-4822-7434 jmgronbe@usgs.gov","orcid":"https://orcid.org/0000-0003-4822-7434","contributorId":3548,"corporation":false,"usgs":true,"family":"Gronberg","given":"JoAnn","email":"jmgronbe@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Franke, O. Lehn","contributorId":63357,"corporation":false,"usgs":true,"family":"Franke","given":"O.","email":"","middleInitial":"Lehn","affiliations":[],"preferred":false,"id":305473,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":305469,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70156415,"text":"70156415 - 2010 - An automated and universal method for measuring mean grain size from a digital image of sediment","interactions":[],"lastModifiedDate":"2015-08-21T09:02:41","indexId":"70156415","displayToPublicDate":"2010-06-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An automated and universal method for measuring mean grain size from a digital image of sediment","docAbstract":"<p><span>Existing methods for estimating mean grain size of sediment in an image require either complicated sequences of image processing (filtering, edge detection, segmentation, etc.) or statistical procedures involving calibration. We present a new approach which uses Fourier methods to calculate grain size directly from the image without requiring calibration. Based on analysis of over 450 images, we found the accuracy to be within approximately 16% across the full range from silt to pebbles. Accuracy is comparable to, or better than, existing digital methods. The new method, in conjunction with recent advances in technology for taking appropriate images of sediment in a range of natural environments, promises to revolutionize the logistics and speed at which grain-size data may be obtained from the field.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010 : Hydrology and sedimentation for a changing future : existing and emerging issues","conferenceTitle":"Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling","conferenceDate":"June 27-July 1, 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"Joint Federal Interagency Conference","publisherLocation":"Las Vegas, Nevada","usgsCitation":"Buscombe, D.D., Rubin, D.M., and Warrick, J., 2010, An automated and universal method for measuring mean grain size from a digital image of sediment, <i>in</i> Proceedings of the Joint Federal Interagency Conference 2010 : Hydrology and sedimentation for a changing future : existing and emerging issues, Las Vegas, Nevada, June 27-July 1, 2010, 9 p.","productDescription":"9 p.","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307084,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d84baee4b0518e3546efc7","contributors":{"authors":[{"text":"Buscombe, Daniel D. 0000-0001-6217-5584 dbuscombe@usgs.gov","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":5020,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","email":"dbuscombe@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":569092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":569093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warrick, Jonathan A. jwarrick@usgs.gov","contributorId":1904,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":569094,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156409,"text":"70156409 - 2010 - Analyzing turbidity, suspended-sediment concentration, and particle-size distribution resulting from a debris flow on Mount Jefferson, Oregon, November 2006","interactions":[],"lastModifiedDate":"2022-11-08T20:09:00.146314","indexId":"70156409","displayToPublicDate":"2010-06-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Analyzing turbidity, suspended-sediment concentration, and particle-size distribution resulting from a debris flow on Mount Jefferson, Oregon, November 2006","docAbstract":"<p><span>A debris flow and sediment torrent occurred on the flanks of Mt Jefferson in Oregon on November 6, 2006, inundating 150 acres of forest. The massive debris flow was triggered by a rock and snow avalanche from the Milk Creek glaciers and snowfields during the early onset of an intense storm originating near the Hawaiian Islands. The debris flow consisted of a heavy conglomerate of large boulders, cobbles, and coarse-grained sediment that was deposited at depths of up to 15 ft and within 3 mi of the glaciers, and a viscous slurry that deposited finer-grained sediments at depths of 0.5 to 3 ft. The muddy slurry coated standing trees within the lower reaches of Milk Creek as it moved downslope.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling","conferenceDate":"June 27-July 1, 2010","conferenceLocation":"Las Vegas, Nevada, United States","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Uhrich, M.A., 2010, Analyzing turbidity, suspended-sediment concentration, and particle-size distribution resulting from a debris flow on Mount Jefferson, Oregon, November 2006, <i>in</i> Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues, Las Vegas, Nevada, United States, June 27-July 1, 2010, 13 p.","productDescription":"13 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019070","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":307077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307074,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/conf/JFIC2010-1st-Announcement-111909-jmb-wTOC.pdf"}],"country":"United States","state":"Oregon","otherGeospatial":"Mount Jefferson","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.81070796363122,\n              44.66204083521339\n            ],\n            [\n              -121.81116698501239,\n              44.652245428089714\n            ],\n            [\n              -121.79647830081582,\n              44.6555107476556\n            ],\n            [\n              -121.78798640526483,\n              44.653714844646885\n            ],\n            [\n              -121.77903548833267,\n              44.6591023868221\n            ],\n            [\n              -121.77237967830635,\n              44.65975538822363\n            ],\n            [\n              -121.76067463308715,\n              44.669386304644064\n            ],\n            [\n              -121.76067463308715,\n              44.67395634919791\n            ],\n            [\n              -121.7643468041361,\n              44.677057245626\n            ],\n            [\n              -121.76136316515871,\n              44.68276898889019\n            ],\n            [\n              -121.76664191104193,\n              44.68701163367015\n            ],\n            [\n              -121.77582233866491,\n              44.68913283953921\n            ],\n            [\n              -121.77651087073644,\n              44.69745374318174\n            ],\n            [\n              -121.77329772106827,\n              44.70136904885689\n            ],\n            [\n              -121.77169114623439,\n              44.70822019670891\n            ],\n            [\n              -121.79051102286104,\n              44.708546421620326\n            ],\n            [\n              -121.79739634357816,\n              44.707078395041094\n            ],\n            [\n              -121.80313411084256,\n              44.70919886592671\n            ],\n            [\n              -121.80634726051034,\n              44.70381598045478\n            ],\n            [\n              -121.81277355984628,\n              44.70593657085027\n            ],\n            [\n              -121.82677371197087,\n              44.701532180847266\n            ],\n            [\n              -121.84146239616743,\n              44.694027633530965\n            ],\n            [\n              -121.8350360968315,\n              44.68440081211577\n            ],\n            [\n              -121.82585566920898,\n              44.676894044688055\n            ],\n            [\n              -121.81070796363122,\n              44.66204083521339\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d6fa30e4b0518e3546bc2c","contributors":{"authors":[{"text":"Uhrich, Mark A. 0000-0002-5202-8086 mauhrich@usgs.gov","orcid":"https://orcid.org/0000-0002-5202-8086","contributorId":1149,"corporation":false,"usgs":true,"family":"Uhrich","given":"Mark","email":"mauhrich@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":569056,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98477,"text":"fs20103046 - 2010 - Visualizing NetCDF Files by Using the EverVIEW Data Viewer","interactions":[],"lastModifiedDate":"2012-02-02T00:14:53","indexId":"fs20103046","displayToPublicDate":"2010-06-26T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3046","title":"Visualizing NetCDF Files by Using the EverVIEW Data Viewer","docAbstract":"Over the past few years, modelers in South Florida have started using Network Common Data Form (NetCDF) as the standard data container format for storing hydrologic and ecologic modeling inputs and outputs. With its origins in the meteorological discipline, NetCDF was created by the Unidata Program Center at the University Corporation for Atmospheric Research, in conjunction with the National Aeronautics and Space Administration and other organizations. NetCDF is a portable, scalable, self-describing, binary file format optimized for storing array-based scientific data. Despite attributes which make NetCDF desirable to the modeling community, many natural resource managers have few desktop software packages which can consume NetCDF and unlock the valuable data contained within. The U.S. Geological Survey and the Joint Ecosystem Modeling group, an ecological modeling community of practice, are working to address this need with the EverVIEW Data Viewer. Available for several operating systems, this desktop software currently supports graphical displays of NetCDF data as spatial overlays on a three-dimensional globe and views of grid-cell values in tabular form. An included Open Geospatial Consortium compliant, Web-mapping service client and charting interface allows the user to view Web-available spatial data as additional map overlays and provides simple charting visualizations of NetCDF grid values.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103046","usgsCitation":"Conzelmann, C., and Romañach, S., 2010, Visualizing NetCDF Files by Using the EverVIEW Data Viewer: U.S. Geological Survey Fact Sheet 2010-3046,   , https://doi.org/10.3133/fs20103046.","productDescription":"  ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":125925,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3046.jpg"},{"id":13801,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3046/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fdb48","contributors":{"authors":[{"text":"Conzelmann, Craig 0000-0002-4227-8719 conzelmannc@usgs.gov","orcid":"https://orcid.org/0000-0002-4227-8719","contributorId":2361,"corporation":false,"usgs":true,"family":"Conzelmann","given":"Craig","email":"conzelmannc@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":305468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":2331,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","email":"sromanach@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":305467,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70199985,"text":"70199985 - 2010 - Effects of upstream dams versus groundwater pumping on stream temperature under varying climate conditions","interactions":[],"lastModifiedDate":"2018-10-10T08:44:34","indexId":"70199985","displayToPublicDate":"2010-06-23T08:43:58","publicationYear":"2010","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":"Effects of upstream dams versus groundwater pumping on stream temperature under varying climate conditions","docAbstract":"<p><span>The relative impact of a large upstream dam versus in‐reach groundwater pumping on stream temperatures was analyzed for humid, semiarid, and arid conditions with long dry seasons to represent typical climate regions where large dams are present, such as the western United States or eastern Australia. Stream temperatures were simulated using the CE‐QUAL‐W2 water quality model over a 110 km model grid, with the presence or absence of a dam at the top of the reach and pumping in the lower 60 km of the reach. Measured meteorological data from three representative locations were used as model input to simulate the impact of varying climate conditions on streamflow and stream temperature. For each climate condition four hypothetical streamflow scenarios were modeled: (1) natural (no dam or pumping), (2) large upstream dam present, (3) dam with in‐reach pumping, and (4) no dam with pumping, resulting in 12 cases. Dam removal, in the presence or absence of pumping, resulted in significant changes in stream temperature throughout the year for all three climate conditions. From March to August, the presence of a dam caused monthly mean stream temperatures to decrease on average by approximately 3.0°C, 2.5°C, and 2.0°C for the humid, semiarid, and arid conditions, respectively; however, stream temperatures generally increased from September to February. Pumping caused stream temperatures to warm in summer and cool in winter by generally less than 0.5°C because of a smaller pumping‐induced alteration in streamflow relative to the dam. Though the presence or absence of a large dam led to greater changes in stream temperature than the presence or absence of pumping, ephemeral conditions were increased both temporally and spatially because of pumping.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009WR008587","usgsCitation":"Risley, J.C., Constantz, J., Essaid, H.I., and Rounds, S.A., 2010, Effects of upstream dams versus groundwater pumping on stream temperature under varying climate conditions: Water Resources Research, v. 46, no. 6, 32 p., https://doi.org/10.1029/2009WR008587.","productDescription":"32 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475707,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009wr008587","text":"Publisher Index Page"},{"id":358224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-06-23","publicationStatus":"PW","scienceBaseUri":"5c10c6d3e4b034bf6a7f4918","contributors":{"authors":[{"text":"Risley, John C. 0000-0002-8206-5443 jrisley@usgs.gov","orcid":"https://orcid.org/0000-0002-8206-5443","contributorId":2698,"corporation":false,"usgs":true,"family":"Risley","given":"John","email":"jrisley@usgs.gov","middleInitial":"C.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Constantz, Jim","contributorId":66338,"corporation":false,"usgs":true,"family":"Constantz","given":"Jim","affiliations":[],"preferred":false,"id":747626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Essaid, Hedeff I. 0000-0003-0154-8628 hiessaid@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":2284,"corporation":false,"usgs":true,"family":"Essaid","given":"Hedeff","email":"hiessaid@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":747627,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747628,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98468,"text":"sir20105019 - 2010 - Land-Use Analysis and Simulated Effects of Land-Use Change and Aggregate Mining on Groundwater Flow in the South Platte River Valley, Brighton to Fort Lupton, Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:51","indexId":"sir20105019","displayToPublicDate":"2010-06-23T00:00:00","publicationYear":"2010","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":"2010-5019","title":"Land-Use Analysis and Simulated Effects of Land-Use Change and Aggregate Mining on Groundwater Flow in the South Platte River Valley, Brighton to Fort Lupton, Colorado","docAbstract":"Land use in the South Platte River valley between the cities of Brighton and Fort Lupton, Colo., is undergoing change as urban areas expand, and the extent of aggregate mining in the Brighton-Fort Lupton area is increasing as the demand for aggregate grows in response to urban development. To improve understanding of land-use change and the potential effects of land-use change and aggregate mining on groundwater flow, the U.S. Geological Survey, in cooperation with the cities of Brighton and Fort Lupton, analyzed socioeconomic and land-use trends and constructed a numerical groundwater flow model of the South Platte alluvial aquifer in the Brighton-Fort Lupton area. The numerical groundwater flow model was used to simulate (1) steady-state hydrologic effects of predicted land-use conditions in 2020 and 2040, (2) transient cumulative hydrologic effects of the potential extent of reclaimed aggregate pits in 2020 and 2040, (3) transient hydrologic effects of actively dewatered aggregate pits, and (4) effects of different hypothetical pit spacings and configurations on groundwater levels. The SLEUTH (Slope, Land cover, Exclusion, Urbanization, Transportation, and Hillshade) urban-growth modeling program was used to predict the extent of urban area in 2020 and 2040. Wetlands in the Brighton-Fort Lupton area were mapped as part of the study, and mapped wetland locations and areas of riparian herbaceous vegetation previously mapped by the Colorado Division of Wildlife were compared to simulation results to indicate areas where wetlands or riparian herbaceous vegetation might be affected by groundwater-level changes resulting from land-use change or aggregate mining. \r\n\r\nAnalysis of land-use conditions in 1957, 1977, and 2000 indicated that the general distribution of irrigated land and non-irrigated land remained similar from 1957 to 2000, but both land uses decreased as urban area increased. Urban area increased about 165 percent from 1957 to 1977 and about 56 percent from 1977 to 2000 with most urban growth occurring east of Brighton and Fort Lupton and along major transportation corridors. Land-use conditions in 2020 and 2040 predicted by the SLEUTH modeling program indicated urban growth will continue to develop primarily east of Brighton and Fort Lupton and along major transportation routes, but substantial urban growth also is predicted south and west of Brighton. \r\n\r\nSteady-state simulations of the hydrologic effects of predicted land-use conditions in 2020 and 2040 indicated groundwater levels declined less than 2 feet relative to simulated groundwater levels in 2000. Groundwater levels declined most where irrigated land was converted to urban area and least where non-irrigated land was converted to urban area. Simulated groundwater-level declines resulting from land-use conditions in 2020 and 2040 are not predicted to substantially affect wetlands or riparian herbaceous vegetation in the study area because the declines are small and wetlands and riparian herbaceous vegetation generally are not located where simulated declines occur. \r\n\r\nSee Report PDF for unabridged abstract. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105019","collaboration":"Prepared in cooperation with the City of Fort Lupton and the City of Brighton","usgsCitation":"Arnold, L.R., Mladinich, C., Langer, W.H., and Daniels, J., 2010, Land-Use Analysis and Simulated Effects of Land-Use Change and Aggregate Mining on Groundwater Flow in the South Platte River Valley, Brighton to Fort Lupton, Colorado: U.S. Geological Survey Scientific Investigations Report 2010-5019, viii, 117 p. , https://doi.org/10.3133/sir20105019.","productDescription":"viii, 117 p. 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