{"pageNumber":"740","pageRowStart":"18475","pageSize":"25","recordCount":68923,"records":[{"id":70033791,"text":"70033791 - 2011 - Trends in pesticide concentrations in streams of the western United States, 1993-2005","interactions":[],"lastModifiedDate":"2018-10-17T09:53:28","indexId":"70033791","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Trends in pesticide concentrations in streams of the western United States, 1993-2005","docAbstract":"<p><span>Trends in pesticide concentrations for 15 streams in California, Oregon, Washington, and Idaho were determined for the organophosphate insecticides chlorpyrifos and diazinon and the herbicides atrazine, s‐ethyl diproplythiocarbamate (EPTC), metolachlor, simazine, and trifluralin. A parametric regression model was used to account for flow, seasonality, and antecedent hydrologic conditions and thereby estimate trends in pesticide concentrations in streams arising from changes in use amount and application method in their associated catchments. Decreasing trends most often were observed for diazinon, and reflect the shift to alternative pesticides by farmers, commercial applicators, and homeowners because of use restrictions and product cancelation. Consistent trends were observed for several herbicides, including upward trends in simazine at urban‐influenced sites from 2000 to 2005, and downward trends in atrazine and EPTC at agricultural sites from the mid‐1990s to 2005. The model provided additional information about pesticide occurrence and transport in the modeled streams. Two examples are presented and briefly discussed: (1) timing of peak concentrations for individual compounds varied greatly across this geographic gradient because of different application periods and the effects of local rain patterns, irrigation, and soil drainage and (2) reconstructions of continuous diazinon concentrations at sites in California are used to evaluate compliance with total maximum daily load targets.</span></p>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/j.1752-1688.2010.00507.x","issn":"1093474X","usgsCitation":"Johnson, H.M., Domagalski, J.L., and Saleh, D., 2011, Trends in pesticide concentrations in streams of the western United States, 1993-2005: Journal of the American Water Resources Association, v. 47, no. 2, p. 265-286, https://doi.org/10.1111/j.1752-1688.2010.00507.x.","productDescription":"22 p.","startPage":"265","endPage":"286","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":487145,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1752-1688.2010.00507.x","text":"Publisher Index Page"},{"id":241839,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214145,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2010.00507.x"}],"country":"United States","volume":"47","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-12-06","publicationStatus":"PW","scienceBaseUri":"505bb7d9e4b08c986b32750d","contributors":{"authors":[{"text":"Johnson, Henry M. 0000-0002-7571-4994 hjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":869,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"hjohnson@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":442494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Domagalski, Joseph L. 0000-0002-6032-757X joed@usgs.gov","orcid":"https://orcid.org/0000-0002-6032-757X","contributorId":1330,"corporation":false,"usgs":true,"family":"Domagalski","given":"Joseph","email":"joed@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":442493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saleh, Dina 0000-0002-1406-9303 dsaleh@usgs.gov","orcid":"https://orcid.org/0000-0002-1406-9303","contributorId":939,"corporation":false,"usgs":true,"family":"Saleh","given":"Dina","email":"dsaleh@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":442495,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033792,"text":"70033792 - 2011 - Factors affecting winter survival of female mallards in the lower Mississippi alluvial valley","interactions":[],"lastModifiedDate":"2017-05-03T13:15:18","indexId":"70033792","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting winter survival of female mallards in the lower Mississippi alluvial valley","docAbstract":"The lower Mississippi Alluvial Valley (hereafter LMAV) provides winter habitat for approximately 40% of the Mississippi Flyway's Mallard (Anas platyrhynhcos) population; information on winter survival rates of female Mallards in the LMAV is restricted to data collected prior to implementation of the North American Waterfowl Management Plan. To estimate recent survival and cause-specific mortality rates in the LMAV, 174 radio-marked female Mallards were tracked for a total of 11,912 exposure days. Survival varied by time periods defined by hunting seasons, and females with lower body condition (size adjusted body mass) at time of capture had reduced probability of survival. Female survival was less and the duration of our tracking period was greater than those in previous studies of similarly marked females in the LMAV; the product-limit survival estimate (??????SE) through the entire tracking period (136 days) was 0.54 ??0.10. Cause-specific mortality rates were 0.18 ??0.04 and 0.34 ??0.12 for hunting and other sources of mortality, respectively; the estimated mortality rate from other sources (including those from avian, mammalian, or unknown sources) was higher than mortality from non-hunting sources reported in previous studies of Mallards in the LMAV. Models that incorporate winter survival estimates as a factor in Mallard population growth rates should be adjusted for these reduced winter survival estimates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Waterbirds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1675/063.034.0207","issn":"15244695","usgsCitation":"Davis, B., Afton, A., and Cox, R.R., 2011, Factors affecting winter survival of female mallards in the lower Mississippi alluvial valley: Waterbirds, v. 34, no. 2, p. 186-194, https://doi.org/10.1675/063.034.0207.","startPage":"186","endPage":"194","numberOfPages":"9","ipdsId":"IP-016394","costCenters":[],"links":[{"id":241840,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214146,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.034.0207"}],"volume":"34","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0eb0e4b0c8380cd5358c","contributors":{"authors":[{"text":"Davis, B.E.","contributorId":101467,"corporation":false,"usgs":true,"family":"Davis","given":"B.E.","email":"","affiliations":[],"preferred":false,"id":442498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Afton, A. D.","contributorId":83467,"corporation":false,"usgs":true,"family":"Afton","given":"A. D.","affiliations":[],"preferred":false,"id":442497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, R. R. Jr.","contributorId":57006,"corporation":false,"usgs":true,"family":"Cox","given":"R.","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":442496,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034605,"text":"70034605 - 2011 - Recent changes in burbot growth in Lake Erie","interactions":[],"lastModifiedDate":"2013-02-28T13:29:25","indexId":"70034605","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Recent changes in burbot growth in Lake Erie","docAbstract":"Recruitment of burbot <i>Lota lota</i> in eastern Lake Erie, estimated by catches of age-4 burbot, was high during 1997–2001 and then abruptly declined to low levels during 2002–2007. The invasive round goby <i>Neogobius melanostomus</i>, a benthic species, was first collected in trawl assessments in eastern Lake Erie in 1999, and was first found in stomachs of burbot in 2001. By 2003, round goby became an important prey in the diet of burbot. We hypothesized that the combined effects of low recruitment and consumption of round goby would result in increased size-at-age in burbot. We reasoned that: (i) decreased competition for resources among juveniles should result in larger adults, and (ii) consumption of a benthic prey by a bottom-dwelling predator such as burbot should require less foraging in the water column, and thus less energetic expenditure. We divided our data into two temporal periods: one in which burbot belonged to strong year classes and ate few, if any round goby (i.e., year classes 1989–1997 collected during 1997–2001) and one in which burbot belonged to weak year classes and probably ate round gobies by age 4 (year classes 1998–2003 collected during 2002–2007). Mass and total lengths at ages 4–7 were generally higher during the second period. However, the rates of growth between ages 4 and 7 were not different for the two periods. The results indicate that greater growth at ages 0–4 resulted in larger size at ages 4–7 in the latter period. More information on juvenile diet and growth in burbot is needed for effective conservation of burbot stocks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ichthyology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1439-0426.2011.01845.x","issn":"01758659","usgsCitation":"Stapanian, M., Edwards, W., and Witzel, L., 2011, Recent changes in burbot growth in Lake Erie: Journal of Applied Ichthyology, v. 27, no. S1, p. 57-64, https://doi.org/10.1111/j.1439-0426.2011.01845.x.","productDescription":"8 p.","startPage":"57","endPage":"64","costCenters":[],"links":[{"id":487228,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1439-0426.2011.01845.x","text":"Publisher Index Page"},{"id":215777,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1439-0426.2011.01845.x"},{"id":243602,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"S1","noUsgsAuthors":false,"publicationDate":"2011-08-30","publicationStatus":"PW","scienceBaseUri":"505a95ece4b0c8380cd81cfd","contributors":{"authors":[{"text":"Stapanian, M.A.","contributorId":65437,"corporation":false,"usgs":true,"family":"Stapanian","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":446619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, W.H.","contributorId":43718,"corporation":false,"usgs":true,"family":"Edwards","given":"W.H.","affiliations":[],"preferred":false,"id":446618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Witzel, L.D.","contributorId":70324,"corporation":false,"usgs":true,"family":"Witzel","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":446620,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034394,"text":"70034394 - 2011 - The dark side of the hyporheic zone: Depth profiles of nitrogen and its processing in stream sediments","interactions":[],"lastModifiedDate":"2021-04-21T18:04:23.169276","indexId":"70034394","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"The dark side of the hyporheic zone: Depth profiles of nitrogen and its processing in stream sediments","docAbstract":"<p>1. Although it is well known that sediments can be hot spots for nitrogen transformation in streams, many previous studies have confined measurements of denitrification and nitrate retention to shallow sediments (&lt;5 cm deep). We determined the extent of nitrate processing in deeper sediments of a sand plains stream (Emmons Creek) by measuring denitrification in core sections to a depth of 25 cm and by assessing vertical nitrate profiles, with peepers and piezometers, to a depth of 70 cm.</p><p>2. Denitrification rates of sediment slurries based on acetylene block were higher in shallower core sections. However, core sections deeper than 5 cm accounted for 68% of the mean depth‐integrated denitrification rate.</p><p>3. Vertical hydraulic gradient and vertical profiles of pore water chloride concentration suggested that deep ground water upwelled through shallow sediments before discharging to the stream channel. The results of a two‐source mixing model based on chloride concentrations suggested that the hyporheic zone was very shallow (&lt;5 cm) in Emmons Creek.</p><p>4. Vertical profiles showed that nitrate concentration in shallow ground water was about 10–60% of the nitrate concentration of deep ground water. The mean nitrate concentrations of deep and shallow ground water were 2.17 and 0.73 mg NO<sub>3</sub>‐N L<sup>−1</sup>, respectively.</p><p>5. Deep ground water tended to be oxic (6.9 mg O<sub>2</sub> L<sup>−1</sup>) but approached anoxia (0.8 mg O<sub>2</sub> L<sup>−1</sup>) after passing through shallow, organic carbon‐rich sediments, which suggests that the decline in the nitrate concentrations of upwelling ground water was because of denitrification.</p><p>6. Collectively, our results suggest that there is substantial nitrate removal occurring in deep sediments, below the hyporheic zone, in Emmons Creek. Our findings suggest that not accounting for nitrate removal in deep sediments could lead to underestimates of nitrogen processing in streams and catchments.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2427.2011.02632.x","issn":"00465070","usgsCitation":"Stelzer, R., Bartsch, L., Richardson, W.B., and Strauss, E., 2011, The dark side of the hyporheic zone: Depth profiles of nitrogen and its processing in stream sediments: Freshwater Biology, v. 56, no. 10, p. 2021-2033, https://doi.org/10.1111/j.1365-2427.2011.02632.x.","productDescription":"13 p.","startPage":"2021","endPage":"2033","costCenters":[],"links":[{"id":244788,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216890,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2427.2011.02632.x"}],"volume":"56","issue":"10","noUsgsAuthors":false,"publicationDate":"2011-06-20","publicationStatus":"PW","scienceBaseUri":"505baa7ee4b08c986b322861","contributors":{"authors":[{"text":"Stelzer, R.S.","contributorId":63193,"corporation":false,"usgs":true,"family":"Stelzer","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":445581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, L.A.","contributorId":7675,"corporation":false,"usgs":true,"family":"Bartsch","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":445578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, W. B.","contributorId":16363,"corporation":false,"usgs":true,"family":"Richardson","given":"W.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":445579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strauss, E.A.","contributorId":26010,"corporation":false,"usgs":true,"family":"Strauss","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":445580,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035837,"text":"70035837 - 2011 - Monitoring the dynamics of an invasive emergent macrophyte community using operational remote sensing data","interactions":[],"lastModifiedDate":"2017-04-06T12:22:24","indexId":"70035837","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring the dynamics of an invasive emergent macrophyte community using operational remote sensing data","docAbstract":"<p><i class=\"EmphasisTypeItalic \">Potamogeton crispus</i><span> L. (curly pondweed) is a cosmopolitan aquatic macrophyte considered invasive in North America and elsewhere. Its range is expanding and, on individual water bodies, its coverage can be dynamic both within and among years. In this study, we evaluate the use of free and low-cost satellite remote sensing data to monitor a problematic emergent macrophyte community dominated by </span><i class=\"EmphasisTypeItalic \">P. crispus</i><span>. Between 2000 and 2006, we acquired eight satellite images of 24,000-ha Lake Sharpe, South Dakota (USA). During one of the dates for which satellite imagery was acquired, we sampled the lake for </span><i class=\"EmphasisTypeItalic \">P. crispus</i><span> and other emergent macrophytes using GPS and photography for documentation. We used cluster analysis to assist in classification of the satellite imagery and independently validated results using the field data. Resulting estimates of emergent macrophyte coverage ranged from less than 20&nbsp;ha in 2002 to 245&nbsp;ha in 2004. Accuracy assessment indicated 82% of image pixels were correctly classified, with errors being primarily due to failure to identify emergent macrophytes. These results emphasize the dynamic nature of </span><i class=\"EmphasisTypeItalic \">P. crispus</i><span>-dominated macrophyte communities and show how they can be effectively monitored over large areas using low-cost remote sensing imagery. While results may vary in other systems depending on water quality and local flora, such an approach could be applied elsewhere and for a variety of macrophyte communities.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10750-010-0537-8","issn":"00188158","usgsCitation":"Albright, T.P., and Ode, D., 2011, Monitoring the dynamics of an invasive emergent macrophyte community using operational remote sensing data: Hydrobiologia, v. 661, no. 1, p. 469-474, https://doi.org/10.1007/s10750-010-0537-8.","productDescription":"6 p.","startPage":"469","endPage":"474","numberOfPages":"6","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244277,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216408,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-010-0537-8"}],"volume":"661","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-11-16","publicationStatus":"PW","scienceBaseUri":"505a5deae4b0c8380cd706a1","contributors":{"authors":[{"text":"Albright, Thomas P.","contributorId":78114,"corporation":false,"usgs":true,"family":"Albright","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":452671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ode, D.J.","contributorId":100643,"corporation":false,"usgs":true,"family":"Ode","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":452672,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033796,"text":"70033796 - 2011 - Evidence of volcanic and glacial activity in Chryse and Acidalia Planitiae, Mars","interactions":[],"lastModifiedDate":"2018-11-08T15:57:00","indexId":"70033796","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of volcanic and glacial activity in Chryse and Acidalia Planitiae, Mars","docAbstract":"Chryse and Acidalia Planitiae show numerous examples of enigmatic landforms previously interpreted to have been influenced by a water/ice-rich geologic history. These landforms include giant polygons bounded by kilometer-scale arcuate troughs, bright pitted mounds, and mesa-like features. To investigate the significance of the last we have analyzed in detail the region between 60&deg;N, 290&deg;E and 10&deg;N, 360&deg;E utilizing HiRISE (High Resolution Imaging Science Experiment) images as well as regional-scale data for context. The mesas may be analogous to terrestrial tuyas (emergent sub-ice volcanoes), although definitive proof has not been identified. We also report on a blocky unit and associated landforms (drumlins, eskers, inverted valleys, kettle holes) consistent with ice-emplaced volcanic or volcano-sedimentary flows. The spatial association between tuya-like mesas, ice-emplaced flows, and further possible evidence of volcanism (deflated flow fronts, volcanic vents, columnar jointing, rootless cones), and an extensive fluid-rich substratum (giant polygons, bright mounds, rampart craters), allows for the possibility of glaciovolcanic activity in the region.Landforms indicative of glacial activity on Chryse/Acidalia suggest a paleoclimatic environment remarkably different from today's. Climate changes on Mars (driven by orbital/obliquity changes) or giant outflow channel activity could have resulted in ice-sheet-related landforms far from the current polar caps.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2011.01.004","issn":"00191035","usgsCitation":"Martinez-Alonso, S., Mellon, M.T., Banks, M.E., Keszthelyi, L., and McEwen, A.S., 2011, Evidence of volcanic and glacial activity in Chryse and Acidalia Planitiae, Mars: Icarus, v. 212, no. 2, p. 597-621, https://doi.org/10.1016/j.icarus.2011.01.004.","productDescription":"25 p.","startPage":"597","endPage":"621","numberOfPages":"25","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":241904,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"212","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0d70e4b0c8380cd53004","contributors":{"authors":[{"text":"Martinez-Alonso, Sara","contributorId":73023,"corporation":false,"usgs":true,"family":"Martinez-Alonso","given":"Sara","email":"","affiliations":[],"preferred":false,"id":442512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mellon, Michael T.","contributorId":8603,"corporation":false,"usgs":false,"family":"Mellon","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7037,"text":"Southwest Research Institute, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":442509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Banks, Maria E.","contributorId":80914,"corporation":false,"usgs":true,"family":"Banks","given":"Maria","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":442513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":442510,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":442511,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034401,"text":"70034401 - 2011 - Fluoride geochemistry of thermal waters in Yellowstone National Park: I. Aqueous fluoride speciation","interactions":[],"lastModifiedDate":"2020-01-28T16:41:22","indexId":"70034401","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Fluoride geochemistry of thermal waters in Yellowstone National Park: I. Aqueous fluoride speciation","docAbstract":"<p><span>Thermal water samples from Yellowstone National Park (YNP) have a wide range of pH (1–10), temperature, and high concentrations of fluoride (up to 50</span><span>&nbsp;</span><span>mg/l). High fluoride concentrations are found in waters with field pH higher than 6 (except those in Crater Hills) and temperatures higher than 50</span><span>&nbsp;</span><span>°C based on data from more than 750 water samples covering most thermal areas in YNP from 1975 to 2008. In this study, more than 140 water samples from YNP collected in 2006–2009 were analyzed for free-fluoride activity by ion-selective electrode (ISE) method as an independent check on the reliability of fluoride speciation calculations. The free to total fluoride concentration ratio ranged from &lt;1% at low pH values to &gt;99% at high pH. The wide range in fluoride activity can be explained by strong complexing with H</span><sup>+</sup><span><span>&nbsp;</span>and Al</span><sup>3+</sup><span><span>&nbsp;</span>under acidic conditions and lack of complexing under basic conditions. Differences between the free-fluoride activities calculated with the WATEQ4F code and those measured by ISE were within 0.3–30% for more than 90% of samples at or above 10</span><sup>−6</sup><span><span>&nbsp;</span>molar, providing corroboration for chemical speciation models for a wide range of pH and chemistry of YNP thermal waters. Calculated speciation results show that free fluoride, F</span><sup>−</sup><span>, and major complexes (</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>HF</mtext></mrow><mrow is=&quot;true&quot;><mo stretchy=&quot;false&quot; is=&quot;true&quot;>(</mo><mtext is=&quot;true&quot;>aq</mtext><mo stretchy=&quot;false&quot; is=&quot;true&quot;>)</mo></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>0</mn></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">HF(aq)0</span></span><span>, AlF</span><sup>2+</sup><span>,<span>&nbsp;</span></span><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>AlF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>+</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">AlF2+</span></span><span>and<span>&nbsp;</span></span><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>AlF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>3</mn></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>0</mn></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">AlF30</span></span><span>) account for more than 95% of total fluoride. Occasionally, some complex species like<span>&nbsp;</span></span><span id=\"MathJax-Element-4-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>AlF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>4</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>-</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">AlF4-</span></span><span>, FeF</span><sup>2+</sup><span>,<span>&nbsp;</span></span><span id=\"MathJax-Element-5-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>FeF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>+</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">FeF2+</span></span><span>, MgF</span><sup>+</sup><span><span>&nbsp;</span>and<span>&nbsp;</span></span><span id=\"MathJax-Element-6-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>BF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow></msub><mo stretchy=&quot;false&quot; is=&quot;true&quot;>(</mo><mtext is=&quot;true&quot;>OH</mtext><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mo stretchy=&quot;false&quot; is=&quot;true&quot;>)</mo></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>-</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">BF2(OH)2-</span></span><span><span>&nbsp;</span>may comprise 1–10% when the concentrations of the appropriate components are high. According to the simulation results by PHREEQC and calculated results, the ratio of main fluoride species to total fluoride varies as a function of pH and the concentrations and ratios of F and Al.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2011.05.028","issn":"00167037","usgsCitation":"Deng, Y., Nordstrom, D.K., and McCleskey, R.B., 2011, Fluoride geochemistry of thermal waters in Yellowstone National Park: I. Aqueous fluoride speciation: Geochimica et Cosmochimica Acta, v. 75, no. 16, p. 4476-4489, https://doi.org/10.1016/j.gca.2011.05.028.","productDescription":"14 p.","startPage":"4476","endPage":"4489","ipdsId":"IP-023276","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":244406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.05255126953125,\n              44.1151978766043\n            ],\n            [\n              -110.12695312499999,\n              44.1151978766043\n            ],\n            [\n              -110.12695312499999,\n              44.990055522906864\n            ],\n            [\n              -111.05255126953125,\n              44.990055522906864\n            ],\n            [\n              -111.05255126953125,\n              44.1151978766043\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"16","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1288e4b0c8380cd54343","contributors":{"authors":[{"text":"Deng, Y.","contributorId":57686,"corporation":false,"usgs":true,"family":"Deng","given":"Y.","email":"","affiliations":[],"preferred":false,"id":445603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":445605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"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":445604,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034402,"text":"70034402 - 2011 - Investigation of preparation techniques for δ<sup>2</sup>H analysis of keratin materials and a proposed analytical protocol","interactions":[],"lastModifiedDate":"2013-06-06T08:52:47","indexId":"70034402","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Investigation of preparation techniques for δ<sup>2</sup>H analysis of keratin materials and a proposed analytical protocol","docAbstract":"Accurate hydrogen isotopic measurements of keratin materials have been a challenge due to exchangeable hydrogen in the sample matrix and the paucity of appropriate isotopic reference materials for calibration. We found that the most reproducible δ<sup>2</sup>H<sub>VSMOW-SLAP</sub> and mole fraction of exchangeable hydrogen, x(H)ex, of keratin materials were measured with equilibration at ambient temperature using two desiccators and two different equilibration waters with two sets of the keratin materials for 6 days. Following equilibration, drying the keratin materials in a vacuum oven for 4 days at 60 °C was most critical. The δ<sup>2</sup>H analysis protocol also includes interspersing isotopic reference waters in silver tubes among samples in the carousel of a thermal conversion elemental analyzer (TC/EA) reduction unit. Using this analytical protocol, δ<sup>2</sup>H<sub>VSMOW-SLAP</sub> values of the non-exchangeable fractions of USGS42 and USGS43 human-hair isotopic reference materials were determined to be –78.5 ± 2.3 ‰ and –50.3 ± 2.8 ‰, respectively. The measured x(H)ex values of keratin materials analyzed with steam equilibration and N<sub>2</sub> drying were substantially higher than those previously published, and dry N<sub>2</sub> purging was unable to remove absorbed moisture completely, even with overnight purging. The δ<sup>2</sup>H values of keratin materials measured with steam equilibration were about 10 ‰ lower than values determined with equilibration in desiccators at ambient temperatures when on-line evacuation was used to dry samples. With steam equilibrations the x(H)ex of commercial keratin powder was as high as 28 %. Using human-hair isotopic reference materials to calibrate other keratin materials, such as hoof or horn, can introduce bias in δ<sup>2</sup>H measurements because the amount of absorbed water and the x(H)ex values may differ from those of unknown samples. Correct δ<sup>2</sup>H<sub>VSMOW-SLAP</sub> values of the non-exchangeable fractions of unknown human-hair samples can be determined with atmospheric moisture equilibration by normalizing with USGS42 and USGS43 human-hair reference materials when all materials have the same powder size.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Rapid Communications in Mass Spectrometry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/rcm.5095","issn":"10970231","usgsCitation":"Qi, H., and Coplen, T., 2011, Investigation of preparation techniques for δ<sup>2</sup>H analysis of keratin materials and a proposed analytical protocol: Rapid Communications in Mass Spectrometry, v. 25, no. 15, p. 2209-2222, https://doi.org/10.1002/rcm.5095.","productDescription":"14 p.","startPage":"2209","endPage":"2222","costCenters":[],"links":[{"id":216530,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rcm.5095"},{"id":244407,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"15","noUsgsAuthors":false,"publicationDate":"2011-07-06","publicationStatus":"PW","scienceBaseUri":"505a3e93e4b0c8380cd63eab","contributors":{"authors":[{"text":"Qi, H.","contributorId":107910,"corporation":false,"usgs":true,"family":"Qi","given":"H.","affiliations":[],"preferred":false,"id":445607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coplen, T.B.","contributorId":34147,"corporation":false,"usgs":true,"family":"Coplen","given":"T.B.","affiliations":[],"preferred":false,"id":445606,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034404,"text":"70034404 - 2011 - Sparrow modeling to understand water-quality conditions in major regions of the United States: A featured collection introduction","interactions":[],"lastModifiedDate":"2021-04-22T11:54:40.784255","indexId":"70034404","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Sparrow modeling to understand water-quality conditions in major regions of the United States: A featured collection introduction","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Water Resources Association.","doi":"10.1111/j.1752-1688.2011.00585.x","issn":"1093474X","usgsCitation":"Preston, S.D., Alexander, R.B., and Wolock, D., 2011, Sparrow modeling to understand 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,{"id":70034405,"text":"70034405 - 2011 - Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR","interactions":[],"lastModifiedDate":"2021-04-21T16:38:21.588417","indexId":"70034405","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR","docAbstract":"<p><span>Airborne light detection and ranging (LiDAR) data were used to map water level (WL) and hydraulic gradients (δH/δx) in the Mackenzie Delta. The LiDAR WL data were validated against eight independent hydrometric gauge measurements and demonstrated mean offsets from − 0·22 to + 0·04 m (σ&lt; 0·11). LiDAR‐based WL gradients could be estimated with confidence over channel lengths exceeding 5–10 km where the WL change exceeded local noise levels in the LiDAR data. For the entire Delta, the LiDAR sample coverage indicated a rate of change in longitudinal gradient (δ</span><sup>2</sup><span>H/δx) of 5·5 × 10</span><sup>−10</sup><span>&nbsp;m m</span><sup>−2</sup><span>; therefore offering a potential means to estimate average flood stage hydraulic gradient for areas of the Delta not sampled or monitored. In the Outer Delta, within‐channel and terrain gradient measurements all returned a consistent estimate of − 1 × 10</span><sup>−5</sup><span>&nbsp;m m</span><sup>−1</sup><span>, suggesting that this is a typical hydraulic gradient for the downstream end of the Delta. For short reaches (&lt;10 km) of the Peel and Middle Channels in the middle of the Delta, significant and consistent hydraulic gradient estimates of − 5 × 10</span><sup>−5</sup><span>&nbsp;m m</span><sup>−1</sup><span>&nbsp;were observed. Evidence that hydraulic gradients can vary over short distances, however, was observed in the Peel Channel immediately upstream of Aklavik. A positive elevation anomaly (bulge) of &gt; 0·1 m was observed at a channel constriction entering a meander bend, suggesting a localized modification of the channel hydraulics. Furthermore, water levels in the anabranch channels of the Peel River were almost 1 m higher than in Middle Channel of the Mackenzie River. This suggests: (i) the channels are elevated and have shallower bank heights in this part of the delta, leading to increased cross‐delta and along‐channel hydraulic gradients; and/or (ii) a proportion of the Peel River flow is lost to Middle Channel due to drainage across the delta through anastamosing channels. This study has demonstrated that airborne LiDAR data contain valuable information describing Arctic river delta water surface and hydraulic attributes that would be challenging to acquire by other means.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8167","issn":"08856087","usgsCitation":"Hopkinson, C., Crasto, N., Marsh, P., Forbes, D., and Lesack, L., 2011, Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR: Hydrological Processes, v. 25, no. 19, p. 2995-3011, https://doi.org/10.1002/hyp.8167.","productDescription":"17 p.","startPage":"2995","endPage":"3011","costCenters":[],"links":[{"id":244441,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216563,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8167"}],"country":"Canada","otherGeospatial":"Mackenzie Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -136.669921875,\n              67.09310451852075\n            ],\n            [\n              -130.60546875,\n              67.09310451852075\n            ],\n            [\n              -130.60546875,\n              69.90011762668541\n            ],\n            [\n              -136.669921875,\n              69.90011762668541\n            ],\n            [\n              -136.669921875,\n              67.09310451852075\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"19","noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","scienceBaseUri":"505a3e71e4b0c8380cd63dac","contributors":{"authors":[{"text":"Hopkinson, C.","contributorId":67749,"corporation":false,"usgs":true,"family":"Hopkinson","given":"C.","email":"","affiliations":[],"preferred":false,"id":445616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crasto, N.","contributorId":21369,"corporation":false,"usgs":true,"family":"Crasto","given":"N.","email":"","affiliations":[],"preferred":false,"id":445614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsh, P.","contributorId":99279,"corporation":false,"usgs":true,"family":"Marsh","given":"P.","affiliations":[],"preferred":false,"id":445618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forbes, D.","contributorId":57681,"corporation":false,"usgs":true,"family":"Forbes","given":"D.","email":"","affiliations":[],"preferred":false,"id":445615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lesack, L.","contributorId":84177,"corporation":false,"usgs":true,"family":"Lesack","given":"L.","email":"","affiliations":[],"preferred":false,"id":445617,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034409,"text":"70034409 - 2011 - The influence of irrigation water on the hydrology and lake water budgets of two small arid-climate lakes in Khorezm, Uzbekistan","interactions":[],"lastModifiedDate":"2013-04-25T12:16:48","indexId":"70034409","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of irrigation water on the hydrology and lake water budgets of two small arid-climate lakes in Khorezm, Uzbekistan","docAbstract":"Little is known regarding the origins and hydrology of hundreds of small lakes located in the western Uzbekistan province of Khorezm, Central Asia. Situated in the Aral Sea Basin, Khorezm is a productive agricultural region, growing mainly cotton, wheat, and rice. Irrigation is provided by an extensive canal network that conveys water from the Amu Darya River (AD) throughout the province. The region receives on average 10 cm/year of precipitation, yet potential evapotranspiration exceeds this amount by about 15 times. It was hypothesized that the perennial existence of the lakes of interest depends on periodic input of excess irrigation water. This hypothesis was investigated by studying two small lakes in the region, Tuyrek and Khodjababa. In June and July 2008, surface water and shallow groundwater samples were collected at these lake systems and surrounding communities and analyzed for δ<sup>2</sup>H, δ<sup>18</sup>O, and major ion hydrochemistry to determine water sources. Water table and lake surface elevations were monitored, and the local aquifer characteristics were determined through aquifer tests. These data and climate data from a Class A evaporation pan and meteorological stations were used to estimate water budgets for both lakes. Lake evaporation was found to be about 0.7 cm/day during the study period. Results confirm that the waters sampled at both lake systems and throughout central Khorezm were evaporated from AD water to varying degrees. Together, the water budgets and stable isotope and major ion hydrochemistry data suggest that without surface water input from some source (i.e. excess irrigation water), these and other Khorezm lakes with similar hydrology may decrease in volume dramatically, potentially to the point of complete desiccation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2011.09.028","issn":"00221694","usgsCitation":"Scott, J., Rosen, M.R., Saito, L., and Decker, D., 2011, The influence of irrigation water on the hydrology and lake water budgets of two small arid-climate lakes in Khorezm, Uzbekistan: Journal of Hydrology, v. 410, no. 1-2, p. 114-125, https://doi.org/10.1016/j.jhydrol.2011.09.028.","productDescription":"12 p.","startPage":"114","endPage":"125","numberOfPages":"12","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":244531,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216648,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2011.09.028"}],"country":"Uzbekistan","state":"Khorezm","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60.06,40.56 ], [ 60.06,42.00 ], [ 62.36,42.00 ], [ 62.36,40.56 ], [ 60.06,40.56 ] ] ] } } ] }","volume":"410","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bad2ae4b08c986b323a11","contributors":{"authors":[{"text":"Scott, J.","contributorId":57795,"corporation":false,"usgs":false,"family":"Scott","given":"J.","affiliations":[],"preferred":false,"id":445648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosen, Michael R.","contributorId":43096,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":445647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saito, L.","contributorId":59402,"corporation":false,"usgs":true,"family":"Saito","given":"L.","email":"","affiliations":[],"preferred":false,"id":445649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Decker, D.L.","contributorId":71797,"corporation":false,"usgs":true,"family":"Decker","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":445650,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034410,"text":"70034410 - 2011 - Nutrient loadings to streams of the Continental United States from municipal and industrial effluent","interactions":[],"lastModifiedDate":"2021-04-22T11:52:32.418992","indexId":"70034410","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Nutrient loadings to streams of the Continental United States from municipal and industrial effluent","docAbstract":"<p><span>Data from the United States Environmental Protection Agency Permit Compliance System national database were used to calculate annual total nitrogen (TN) and total phosphorus (TP) loads to surface waters from municipal and industrial facilities in six major regions of the United States for 1992, 1997, and 2002. Concentration and effluent flow data were examined for approximately 118,250 facilities in 45 states and the District of Columbia. Inconsistent and incomplete discharge locations, effluent flows, and effluent nutrient concentrations limited the use of these data for calculating nutrient loads. More concentrations were reported for major facilities, those discharging more than 1 million gallons per day, than for minor facilities, and more concentrations were reported for TP than for TN. Analytical methods to check and improve the quality of the Permit Compliance System data were used. Annual loads were calculated using “typical pollutant concentrations” to supplement missing concentrations based on the type and size of facilities. Annual nutrient loads for over 26,600 facilities were calculated for at least one of the three years. Sewage systems represented 74% of all TN loads and 58% of all TP loads. This work represents an initial set of data to develop a comprehensive and consistent national database of point‐source nutrient loads. These loads can be used to inform a wide range of water‐quality management, watershed modeling, and research efforts at multiple scales.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2011.00576.x","issn":"1093474X","usgsCitation":"Maupin, M., and Ivahnenko, T., 2011, Nutrient loadings to streams of the Continental United States from municipal and industrial effluent: Journal of the American Water Resources Association, v. 47, no. 5, p. 950-964, https://doi.org/10.1111/j.1752-1688.2011.00576.x.","productDescription":"15 p.","startPage":"950","endPage":"964","costCenters":[],"links":[{"id":475220,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3307619","text":"External Repository"},{"id":244563,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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States\"}}]}","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"505a693ee4b0c8380cd73c16","contributors":{"authors":[{"text":"Maupin, M.A.","contributorId":54433,"corporation":false,"usgs":true,"family":"Maupin","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":445652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ivahnenko, T.","contributorId":20495,"corporation":false,"usgs":true,"family":"Ivahnenko","given":"T.","affiliations":[],"preferred":false,"id":445651,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034622,"text":"70034622 - 2011 - Expansion of tubenose gobies <i>Proterorhinus semilunaris</i> into western Lake Erie and potential effects on native species","interactions":[],"lastModifiedDate":"2012-12-27T14:41:16","indexId":"70034622","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Expansion of tubenose gobies <i>Proterorhinus semilunaris</i> into western Lake Erie and potential effects on native species","docAbstract":"The Eurasian freshwater tubenose goby <i>Proterorhinus semilunaris</i> (formerly <i>Proterorhinus marmoratus</i>) invaded the Laurentian Great Lakes in the 1990s, presumably via ballast water from transoceanic cargo ships. Tubenose gobies spread throughout Lake St. Clair, its tributaries, and the Detroit River system, and also are present in the Duluth-Superior harbor of Lake Superior. Using seines and bottom trawls, we collected 113 tubenose gobies between July 2007 and August 2009 at several locations in western Lake Erie. The number and range of sizes of specimens collected suggest that that tubenose gobies have become established and self-sustaining in the western basin of Lake Erie. Tubenose gobies reached maximum densities in sheltered areas with abundant macrophyte growth, which also is their common habitat in native northern Black Sea populations. The diet of tubenose gobies was almost exclusively invertebrates, suggesting dietary overlap with other benthic fishes, such as darters (<i>Etheostoma</i> spp. and Percina sp.), madtoms (<i>Noturus</i> spp.), and sculpins (<i>Cottus</i> spp.). A single mitochondrial DNA haplotype was identified, which is the most common haplotype found in the original colonization area in the Lake St. Clair region, suggesting a founder effect. Tubenose gobies, like round gobies <i>Neogobius melanostomus</i>, have early life stages that drift owing to vertical migration, which probably allowed them to spread from areas of colonization. The Lake St. Clair-Lake Erie corridor appears to have served as an avenue for them to spread to the western basin of Lake Erie, and abundance of shallow macrophyte-rich habitats may be a key factor facilitating their further expansion within Lake Erie and the remainder of the Laurentian Great Lakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10530-011-9962-5","issn":"13873547","usgsCitation":"Kocovsky, P., Tallman, J., Jude, D., Murphy, D., Brown, J., and Stepien, C., 2011, Expansion of tubenose gobies <i>Proterorhinus semilunaris</i> into western Lake Erie and potential effects on native species: Biological Invasions, v. 13, no. 12, p. 2775-2784, https://doi.org/10.1007/s10530-011-9962-5.","productDescription":"10 p.","startPage":"2775","endPage":"2784","costCenters":[{"id":355,"text":"Lake Erie Biological Station","active":false,"usgs":true}],"links":[{"id":215564,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10530-011-9962-5"},{"id":243376,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Erie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.48,41.4 ], [ -83.48,43.26 ], [ -78.85,43.26 ], [ -78.85,41.4 ], [ -83.48,41.4 ] ] ] } } ] }","volume":"13","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-02-26","publicationStatus":"PW","scienceBaseUri":"505a0db6e4b0c8380cd53165","contributors":{"authors":[{"text":"Kocovsky, P.M.","contributorId":78447,"corporation":false,"usgs":true,"family":"Kocovsky","given":"P.M.","affiliations":[],"preferred":false,"id":446727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tallman, J.A.","contributorId":90559,"corporation":false,"usgs":true,"family":"Tallman","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":446730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jude, D.J.","contributorId":13016,"corporation":false,"usgs":true,"family":"Jude","given":"D.J.","affiliations":[],"preferred":false,"id":446725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, D.M.","contributorId":44379,"corporation":false,"usgs":true,"family":"Murphy","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":446726,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, J.E.","contributorId":79322,"corporation":false,"usgs":true,"family":"Brown","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":446728,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stepien, C.A.","contributorId":89738,"corporation":false,"usgs":true,"family":"Stepien","given":"C.A.","affiliations":[],"preferred":false,"id":446729,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034411,"text":"70034411 - 2011 - Digital hydrologic networks supporting applications related to spatially referenced regression modeling","interactions":[],"lastModifiedDate":"2021-04-22T11:51:43.894857","indexId":"70034411","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Digital hydrologic networks supporting applications related to spatially referenced regression modeling","docAbstract":"<p><span>Digital hydrologic networks depicting surface‐water pathways and their associated drainage catchments provide a key component to hydrologic analysis and modeling. Collectively, they form common spatial units that can be used to frame the descriptions of aquatic and watershed processes. In addition, they provide the ability to simulate and route the movement of water and associated constituents throughout the landscape. Digital hydrologic networks have evolved from derivatives of mapping products to detailed, interconnected, spatially referenced networks of water pathways, drainage areas, and stream and watershed characteristics. These properties are important because they enhance the ability to spatially evaluate factors that affect the sources and transport of water‐quality constituents at various scales. SPAtially Referenced Regressions On Watershed attributes (SPARROW), a process‐based/statistical model, relies on a digital hydrologic network in order to establish relations between quantities of monitored contaminant flux, contaminant sources, and the associated physical characteristics affecting contaminant transport. Digital hydrologic networks modified from the River Reach File (RF1) and National Hydrography Dataset (NHD) geospatial datasets provided frameworks for SPARROW in six regions of the conterminous United States. In addition, characteristics of the modified RF1 were used to update estimates of mean‐annual streamflow. This produced more current flow estimates for use in SPARROW modeling.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2011.00578.x","issn":"1093474X","usgsCitation":"Brakebill, J., Wolock, D., and Terziotti, S., 2011, Digital hydrologic networks supporting applications related to spatially referenced regression modeling: Journal of the American Water Resources Association, v. 47, no. 5, p. 916-932, https://doi.org/10.1111/j.1752-1688.2011.00578.x.","productDescription":"17 p.","startPage":"916","endPage":"932","costCenters":[],"links":[{"id":475217,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00578.x","text":"External Repository"},{"id":244564,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"505a0120e4b0c8380cd4fadf","contributors":{"authors":[{"text":"Brakebill, J. W.","contributorId":48206,"corporation":false,"usgs":true,"family":"Brakebill","given":"J. W.","affiliations":[],"preferred":false,"id":445655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, D.M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":36601,"corporation":false,"usgs":true,"family":"Wolock","given":"D.M.","affiliations":[],"preferred":false,"id":445654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terziotti, S.E.","contributorId":6287,"corporation":false,"usgs":true,"family":"Terziotti","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":445653,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034417,"text":"70034417 - 2011 - Coral skeletal carbon isotopes (δ<sup>13</sup>C and Δ<sup>14</sup>C) record the delivery of terrestrial carbon to the coastal waters of Puerto Rico","interactions":[],"lastModifiedDate":"2021-04-21T15:05:57.965298","indexId":"70034417","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Coral skeletal carbon isotopes (δ<sup>13</sup>C and Δ<sup>14</sup>C) record the delivery of terrestrial carbon to the coastal waters of Puerto Rico","docAbstract":"<p><span>Tropical small mountainous rivers deliver a poorly quantified, but potentially significant, amount of carbon to the world’s oceans. However, few historical records of land–ocean carbon transfer exist for any region on Earth. Corals have the potential to provide such records, because they draw on dissolved inorganic carbon (DIC) for calcification. In temperate systems, the stable- (δ</span><sup>13</sup><span>C) and radiocarbon (Δ</span><sup>14</sup><span>C) isotopes of coastal DIC are influenced by the δ</span><sup>13</sup><span>C and Δ</span><sup>14</sup><span>C of the DIC transported from adjacent rivers. A similar pattern should exist in tropical coastal DIC and hence coral skeletons. Here, δ</span><sup>13</sup><span>C and Δ</span><sup>14</sup><span>C measurements were made in a 56-year-old&nbsp;</span><i>Montastraea faveolata</i><span>&nbsp;coral growing ~1&nbsp;km from the mouth of the Rio Fajardo in eastern Puerto Rico. Additionally, the δ</span><sup>13</sup><span>C and Δ</span><sup>14</sup><span>C values of the DIC of the Rio Fajardo and its adjacent coastal waters were measured during two wet and dry seasons. Three major findings were observed: (1) synchronous depletions of both δ</span><sup>13</sup><span>C and Δ</span><sup>14</sup><span>C in the coral skeleton are annually coherent with the timing of peak river discharge, (2) riverine DIC was always more depleted in δ</span><sup>13</sup><span>C and Δ</span><sup>14</sup><span>C than seawater DIC, and (3) the correlation of δ</span><sup>13</sup><span>C and Δ</span><sup>14</sup><span>C was the same in both coral skeleton and the DIC of the river and coastal waters. These results indicate that coral skeletal δ</span><sup>13</sup><span>C and Δ</span><sup>14</sup><span>C are recording the delivery of riverine DIC to the coastal ocean. Thus, coral records could be used to develop proxies of historical land–ocean carbon flux for many tropical regions. Such information could be invaluable for understanding the role of tropical land–ocean carbon flux in the context of land-use change and global climate change.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00338-011-0758-y","issn":"07224028","usgsCitation":"Moyer, R., and Grottoli, A., 2011, Coral skeletal carbon isotopes (δ<sup>13</sup>C and Δ<sup>14</sup>C) record the delivery of terrestrial carbon to the coastal waters of Puerto Rico: Coral Reefs, v. 30, no. 3, p. 791-802, https://doi.org/10.1007/s00338-011-0758-y.","productDescription":"12 p.","startPage":"791","endPage":"802","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":244661,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216773,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00338-011-0758-y"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.412109375,\n              17.790535393588975\n            ],\n            [\n              -67.412109375,\n              18.656654486540006\n            ],\n            [\n              -65.5224609375,\n              18.656654486540006\n            ],\n            [\n              -65.5224609375,\n              17.790535393588975\n            ],\n            [\n              -67.412109375,\n              17.790535393588975\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-04-23","publicationStatus":"PW","scienceBaseUri":"5059fc0be4b0c8380cd4e0ca","contributors":{"authors":[{"text":"Moyer, R.P.","contributorId":95839,"corporation":false,"usgs":true,"family":"Moyer","given":"R.P.","email":"","affiliations":[],"preferred":false,"id":445675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grottoli, A.G.","contributorId":38811,"corporation":false,"usgs":true,"family":"Grottoli","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":445674,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034418,"text":"70034418 - 2011 - Response of spectral vegetation indices to soil moisture in grasslands and shrublands","interactions":[],"lastModifiedDate":"2017-04-06T13:56:16","indexId":"70034418","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Response of spectral vegetation indices to soil moisture in grasslands and shrublands","docAbstract":"<p><span>The relationships between satellite-derived vegetation indices (VIs) and soil moisture are complicated because of the time lag of the vegetation response to soil moisture. In this study, we used a distributed lag regression model to evaluate the lag responses of VIs to soil moisture for grasslands and shrublands at Soil Climate Analysis Network sites in the central and western United States. We examined the relationships between Moderate Resolution Imaging Spectroradiometer (MODIS)-derived VIs and soil moisture measurements. The Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) showed significant lag responses to soil moisture. The lag length varies from 8 to 56 days for NDVI and from 16 to 56 days for NDWI. However, the lag response of NDVI and NDWI to soil moisture varied among the sites. Our study suggests that the lag effect needs to be taken into consideration when the VIs are used to estimate soil moisture.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2010.496471","issn":"01431161","usgsCitation":"Zhang, L., Ji, L., and Wylie, B.K., 2011, Response of spectral vegetation indices to soil moisture in grasslands and shrublands: International Journal of Remote Sensing, v. 32, no. 18, p. 5267-5286, https://doi.org/10.1080/01431161.2010.496471.","productDescription":"20 p.","startPage":"5267","endPage":"5286","numberOfPages":"20","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244694,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216802,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2010.496471"}],"volume":"32","issue":"18","noUsgsAuthors":false,"publicationDate":"2011-07-04","publicationStatus":"PW","scienceBaseUri":"505aaa6ce4b0c8380cd86313","contributors":{"authors":[{"text":"Zhang, Li","contributorId":98139,"corporation":false,"usgs":true,"family":"Zhang","given":"Li","affiliations":[],"preferred":false,"id":445677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":139587,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":445678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":445676,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034420,"text":"70034420 - 2011 - Continuous fields of land cover for the conterminous United States using Landsat data: First results from the Web-Enabled Landsat Data (WELD) project","interactions":[],"lastModifiedDate":"2017-04-06T12:35:54","indexId":"70034420","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3251,"text":"Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Continuous fields of land cover for the conterminous United States using Landsat data: First results from the Web-Enabled Landsat Data (WELD) project","docAbstract":"<p><span>Vegetation Continuous Field (VCF) layers of 30&nbsp;m percent tree cover, bare ground, other vegetation and probability of water were derived for the conterminous United States (CONUS) using Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data sets from the Web-Enabled Landsat Data (WELD) project. Turnkey approaches to land cover characterization were enabled due to the systematic WELD Landsat processing, including conversion of digital numbers to calibrated top of atmosphere reflectance and brightness temperature, cloud masking, reprojection into a continental map projection and temporal compositing. Annual, seasonal and monthly WELD composites for 2008 were used as spectral inputs to a bagged regression and classification tree procedure using a large training data set derived from very high spatial resolution imagery and available ancillary data. The results illustrate the ability to perform Landsat land cover characterizations at continental scales that are internally consistent while retaining local spatial and thematic detail.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2010.519002","issn":"2150704X","usgsCitation":"Hansen, M., Egorov, A., Roy, D.P., Potapov, P., Ju, J., Turubanova, S., Kommareddy, I., and Loveland, T., 2011, Continuous fields of land cover for the conterminous United States using Landsat data: First results from the Web-Enabled Landsat Data (WELD) project: Remote Sensing Letters, v. 2, no. 4, p. 279-288, https://doi.org/10.1080/01431161.2010.519002.","productDescription":"10 p.","startPage":"279","endPage":"288","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244725,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216830,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2010.519002"}],"volume":"2","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-11-06","publicationStatus":"PW","scienceBaseUri":"5059fa5ae4b0c8380cd4da7a","contributors":{"authors":[{"text":"Hansen, M.C.","contributorId":69690,"corporation":false,"usgs":false,"family":"Hansen","given":"M.C.","email":"","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":445684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Egorov, Alexey","contributorId":81719,"corporation":false,"usgs":false,"family":"Egorov","given":"Alexey","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":445685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roy, David P.","contributorId":54761,"corporation":false,"usgs":false,"family":"Roy","given":"David","email":"","middleInitial":"P.","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false},{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false},{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":445682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Potapov, P.","contributorId":39921,"corporation":false,"usgs":true,"family":"Potapov","given":"P.","email":"","affiliations":[],"preferred":false,"id":445681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ju, J.","contributorId":85801,"corporation":false,"usgs":false,"family":"Ju","given":"J.","email":"","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":445686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turubanova, S.","contributorId":21375,"corporation":false,"usgs":true,"family":"Turubanova","given":"S.","affiliations":[],"preferred":false,"id":445680,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kommareddy, I.","contributorId":65693,"corporation":false,"usgs":true,"family":"Kommareddy","given":"I.","email":"","affiliations":[],"preferred":false,"id":445683,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Loveland, Thomas R. 0000-0003-3114-6646","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":106125,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":445687,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70034422,"text":"70034422 - 2011 - A multi-agency nutrient dataset used to estimate loads, improve monitoring design, and calibrate regional nutrient SPARROW models","interactions":[],"lastModifiedDate":"2021-04-21T12:41:48.927593","indexId":"70034422","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"A multi-agency nutrient dataset used to estimate loads, improve monitoring design, and calibrate regional nutrient SPARROW models","docAbstract":"<p><span>Stream‐loading information was compiled from federal, state, and local agencies, and selected universities as part of an effort to develop regional SPAtially Referenced Regressions On Watershed attributes (SPARROW) models to help describe the distribution, sources, and transport of nutrients in streams throughout much of the United States. After screening, 2,739 sites, sampled by 73 agencies, were identified as having suitable data for calculating long‐term mean annual nutrient loads required for SPARROW model calibration. These sites had a wide range in nutrient concentrations, loads, and yields, and environmental characteristics in their basins. An analysis of the accuracy in load estimates relative to site attributes indicated that accuracy in loads improve with increases in the number of observations, the proportion of uncensored data, and the variability in flow on observation days, whereas accuracy declines with increases in the root mean square error of the water‐quality model, the flow‐bias ratio, the number of days between samples, the variability in daily streamflow for the prediction period, and if the load estimate has been detrended. Based on compiled data, all areas of the country had recent declines in the number of sites with sufficient water‐quality data to compute accurate annual loads and support regional modeling analyses. These declines were caused by decreases in the number of sites being sampled and data not being entered in readily accessible databases.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2011.00575.x","issn":"1093474X","usgsCitation":"Saad, D.A., Schwarz, G., Robertson, D.M., and Booth, N., 2011, A multi-agency nutrient dataset used to estimate loads, improve monitoring design, and calibrate regional nutrient SPARROW models: Journal of the American Water Resources Association, v. 47, no. 5, p. 933-949, https://doi.org/10.1111/j.1752-1688.2011.00575.x.","productDescription":"17 p.","startPage":"933","endPage":"949","numberOfPages":"17","costCenters":[],"links":[{"id":475338,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00575.x","text":"External 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              46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n       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]\n}","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-08","publicationStatus":"PW","scienceBaseUri":"5059e2ece4b0c8380cd45d2a","contributors":{"authors":[{"text":"Saad, D. A.","contributorId":85212,"corporation":false,"usgs":true,"family":"Saad","given":"D.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarz, G. E. 0000-0002-9239-4566","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":14852,"corporation":false,"usgs":true,"family":"Schwarz","given":"G. E.","affiliations":[],"preferred":false,"id":445692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":445693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Booth, N.L.","contributorId":60815,"corporation":false,"usgs":true,"family":"Booth","given":"N.L.","email":"","affiliations":[],"preferred":false,"id":445694,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035388,"text":"70035388 - 2011 - Projecting avian response to linked changes in groundwater and riparian floodplain vegetation along a dryland river: A scenario analysis","interactions":[],"lastModifiedDate":"2021-02-24T19:49:05.534333","indexId":"70035388","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Projecting avian response to linked changes in groundwater and riparian floodplain vegetation along a dryland river: A scenario analysis","docAbstract":"<p><span>Groundwater is a key driver of riparian condition on dryland rivers but is in high demand for municipal, industrial, and agricultural uses. Approaches are needed to guide decisions that balance human water needs while conserving riparian ecosystems. We developed a space‐for‐time substitution model that links groundwater change scenarios implemented within a Decision Support System (DSS) with proportions of floodplain vegetation types and abundances of breeding and migratory birds along the upper San Pedro River, AZ, USA. We investigated nine scenarios ranging from groundwater depletion to recharge. In groundwater decline scenarios, relative proportions of tall‐canopied obligate phreatophytes (</span><i>Populus/Salix</i><span>, cottonwood/willow) on the floodplain progressively decline, and shrubbier species less dependent on permanent water sources (e.g.&nbsp;</span><i>Tamarix</i><span>&nbsp;spp., saltcedar) increase. These scenarios result in broad shifts in the composition of the breeding bird community, with canopy‐nesting and water‐obligate birds declining but midstory nesting birds increasing in abundance as groundwater declines. For the most extreme draw‐down scenario where all reaches undergo groundwater declines, models project that only 10% of the upper San Pedro floodplain would be comprised of cottonwood/willow (73% saltcedar and 18% mesquite), and abundances of canopy‐nesting, water‐obligate, and spring migrant birds would decline 48%, 72%, and 40%, respectively. Groundwater recharge scenarios were associated with increases in canopy‐nesting birds particularly given the extreme recharge scenario (all reaches regain shallow water tables and perennial streamflow). Model outputs serve to assess the sensitivity of biotic groups to potential changes in groundwater and thus to rank scenarios based on their expected ecological impacts.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/eco.143","issn":"19360584","usgsCitation":"Arriana, B.L., Stromberg, J., Goodrich, D., Dixon, M., Lansey, K., Kang, D., Brookshire, D., and Cerasale, D., 2011, Projecting avian response to linked changes in groundwater and riparian floodplain vegetation along a dryland river: A scenario analysis: Ecohydrology, v. 4, no. 1, p. 130-142, https://doi.org/10.1002/eco.143.","productDescription":"13 p.","startPage":"130","endPage":"142","costCenters":[],"links":[{"id":243366,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215554,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/eco.143"}],"volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-19","publicationStatus":"PW","scienceBaseUri":"505a8efbe4b0c8380cd7f4e6","contributors":{"authors":[{"text":"Arriana, Brand L.","contributorId":9488,"corporation":false,"usgs":true,"family":"Arriana","given":"Brand","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":450419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stromberg, J.C.","contributorId":81455,"corporation":false,"usgs":true,"family":"Stromberg","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":450425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodrich, D.C.","contributorId":98492,"corporation":false,"usgs":false,"family":"Goodrich","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":450426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dixon, M.D.","contributorId":57279,"corporation":false,"usgs":true,"family":"Dixon","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":450423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lansey, K.","contributorId":57680,"corporation":false,"usgs":true,"family":"Lansey","given":"K.","email":"","affiliations":[],"preferred":false,"id":450424,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kang, D.","contributorId":19799,"corporation":false,"usgs":true,"family":"Kang","given":"D.","email":"","affiliations":[],"preferred":false,"id":450421,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brookshire, D.S.","contributorId":43335,"corporation":false,"usgs":true,"family":"Brookshire","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":450422,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cerasale, D.J.","contributorId":11028,"corporation":false,"usgs":true,"family":"Cerasale","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":450420,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70035812,"text":"70035812 - 2011 - Olfactory-mediated stream-finding behavior of migratory adult sea lamprey (Petromyzon marinus)","interactions":[],"lastModifiedDate":"2012-03-12T17:21:51","indexId":"70035812","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Olfactory-mediated stream-finding behavior of migratory adult sea lamprey (Petromyzon marinus)","docAbstract":"Stream-finding behavior of adult sea lamprey (Petromyzon marinus), an anadromous fish that relies on pheromones to locate spawning streams, was documented in the vicinity of an important spawning river in the Great Lakes. Untreated and anosmic migrating sea lampreys were implanted with acoustic transmitters and then released outside the Ocqueoc River. Lampreys swam only at night and then actively. When outside of the river plume, lampreys pursued relatively straight bearings parallel to the shoreline while making frequent vertical excursions. In contrast, when within the plume, lampreys made large turns and exhibited a weak bias towards the river mouth, which one-third of them entered. The behavior of anosmic lampreys resembled that of untreated lampreys outside of the plume, except they pursued a more northerly compass bearing. To locate streams, sea lampreys appear to employ a three-phase odor-mediated strategy that involves an initial search along shorelines while casting vertically, followed by river-water-induced turning that brings them close to the river's mouth, which they then enter using rheotaxis. This novel strategy differs from that of salmonids and appears to offer this poor swimmer adaptive flexibility and suggests ways that pheromonal odors might be used to manage this invasive species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1139/F10-169","issn":"0706652X","usgsCitation":"Vrieze, L., Bergstedt, R., and Sorensen, P., 2011, Olfactory-mediated stream-finding behavior of migratory adult sea lamprey (Petromyzon marinus): Canadian Journal of Fisheries and Aquatic Sciences, v. 68, no. 3, p. 523-533, https://doi.org/10.1139/F10-169.","startPage":"523","endPage":"533","numberOfPages":"11","costCenters":[],"links":[{"id":244305,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216435,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/F10-169"}],"volume":"68","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6d5ee4b0c8380cd750d5","contributors":{"authors":[{"text":"Vrieze, L.A.","contributorId":67706,"corporation":false,"usgs":true,"family":"Vrieze","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":452531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergstedt, R.A.","contributorId":74330,"corporation":false,"usgs":true,"family":"Bergstedt","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":452532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sorensen, P.W.","contributorId":66884,"corporation":false,"usgs":true,"family":"Sorensen","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":452530,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034435,"text":"70034435 - 2011 - Overpressure generation by load transfer following shale framework weakening due to smectite diagenesis","interactions":[],"lastModifiedDate":"2021-04-20T19:24:29.86206","indexId":"70034435","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1765,"text":"Geofluids","active":true,"publicationSubtype":{"id":10}},"title":"Overpressure generation by load transfer following shale framework weakening due to smectite diagenesis","docAbstract":"<p><span>Basin model studies which have addressed the importance of smectite conversion to illite as a source of overpressure in the Gulf of Mexico have principally relied on a single‐shale compaction model and treated the smectite reaction as only a fluid‐source term. Recent fluid pressure interpretation and shale petrology studies indicate that conversion of bound water to mobile water, dissolution of load‐bearing grains, and increased preferred orientation change the compaction properties of the shale. This results in substantial changes in effective stress and fluid pressure. The resulting fluid pressure can be 1500–3000 psi higher than pressures interpreted from models based on shallow compaction trends. Shale diagenesis changes the mineralogy, volume, and orientation of the load‐bearing grains in the shale as well as the volume of bound water. This process creates a weaker (more compactable) grain framework. When these changes occur without fluid export from the shale, some of the stress is transferred from the grains onto the fluid. Observed relationships between shale density and calculated effective stress in Gulf of Mexico shelf wells confirm these changes in shale properties with depth. Further, the density–effective stress changes cannot be explained by fluid‐expansion or fluid‐source processes or by prediagenesis compaction, but are consistent with a dynamic diagenetic modification of the shale mineralogy, texture, and compaction properties during burial. These findings support the incorporation of diagenetic modification of compaction properties as part of the fluid pressure interpretation process.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1468-8123.2011.00350.x","issn":"14688115","usgsCitation":"Lahann, R., and Swarbrick, R., 2011, Overpressure generation by load transfer following shale framework weakening due to smectite diagenesis: Geofluids, v. 11, no. 4, p. 362-375, https://doi.org/10.1111/j.1468-8123.2011.00350.x.","productDescription":"14 p.","startPage":"362","endPage":"375","costCenters":[],"links":[{"id":244472,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216592,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1468-8123.2011.00350.x"}],"volume":"11","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-09-28","publicationStatus":"PW","scienceBaseUri":"505a71dee4b0c8380cd767e8","contributors":{"authors":[{"text":"Lahann, R.W.","contributorId":85797,"corporation":false,"usgs":true,"family":"Lahann","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":445770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarbrick, R.E.","contributorId":77770,"corporation":false,"usgs":true,"family":"Swarbrick","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":445769,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035808,"text":"70035808 - 2011 - Hydrological mobilization of mercury and dissolved organic carbon in a snow-dominated, forested watershed: Conceptualization and modeling","interactions":[],"lastModifiedDate":"2021-02-10T13:22:34.024679","indexId":"70035808","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Hydrological mobilization of mercury and dissolved organic carbon in a snow-dominated, forested watershed: Conceptualization and modeling","docAbstract":"<p><span>The mobilization of mercury and dissolved organic carbon (DOC) during snowmelt often accounts for a major fraction of the annual loads. We studied the role of hydrological connectivity of riparian wetlands and upland/wetland transition zones to surface waters on the mobilization of Hg and DOC in Fishing Brook, a headwater of the Adirondack Mountains, New York. Stream water total mercury (THg) concentrations varied strongly (mean = 2.25 ± 0.5 ng L</span><sup>−1</sup><span>), and the two snowmelt seasons contributed 40% (2007) and 48% (2008) of the annual load. Methyl mercury (MeHg) concentrations ranged up to 0.26 ng L</span><sup>−1</sup><span>, and showed an inverse log relationship with discharge. TOPMODEL‐simulated saturated area corresponded well with wetland areas, and the application of a flow algorithm based elevation‐above‐creek approach suggests that most wetlands become well connected during high flow. The dynamics of simulated saturated area and soil storage deficit were able to explain a large part of the variation of THg concentrations (r</span><sup>2</sup><span>&nbsp;= 0.53 to 0.72). In contrast, the simulations were not able to explain DOC variations and DOC and THg concentrations were not correlated. These results indicate that all three constituents, THg, MeHg, and DOC, follow different patterns at the outlet: (1) the mobilization of THg is primarily controlled by the saturation state of the catchment, (2) the dilution of MeHg suggests flushing from a supply limited pool, and (3) DOC dynamics follow a pattern different from THg dynamics, which likely results from differing gain and/or loss processes for THg and/or DOC within the Fishing Brook catchment.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JG001330","issn":"01480227","usgsCitation":"Schelker, J., Burns, D.A., Weiler, M., and Laudon, H., 2011, Hydrological mobilization of mercury and dissolved organic carbon in a snow-dominated, forested watershed: Conceptualization and modeling: Journal of Geophysical Research G: Biogeosciences, v. 116, no. 1, G01002, 17 p., https://doi.org/10.1029/2010JG001330.","productDescription":"G01002, 17 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":475244,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jg001330","text":"Publisher Index Page"},{"id":244245,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack State Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.7894287109375,\n              43.50075243569041\n            ],\n            [\n              -73.443603515625,\n              43.50075243569041\n            ],\n            [\n              -73.443603515625,\n              44.62175409623324\n            ],\n            [\n              -74.7894287109375,\n              44.62175409623324\n            ],\n            [\n              -74.7894287109375,\n              43.50075243569041\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"116","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-12","publicationStatus":"PW","scienceBaseUri":"505a36ace4b0c8380cd608e8","contributors":{"authors":[{"text":"Schelker, J.","contributorId":50007,"corporation":false,"usgs":false,"family":"Schelker","given":"J.","affiliations":[],"preferred":false,"id":452522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":452521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weiler, M.","contributorId":15003,"corporation":false,"usgs":false,"family":"Weiler","given":"M.","email":"","affiliations":[],"preferred":false,"id":452520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laudon, H.","contributorId":82444,"corporation":false,"usgs":false,"family":"Laudon","given":"H.","email":"","affiliations":[],"preferred":false,"id":452523,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035806,"text":"70035806 - 2011 - <sup>210</sup>Po in Nevada groundwater and its relation to gross alpha radioactivity","interactions":[],"lastModifiedDate":"2013-02-26T12:18:18","indexId":"70035806","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"<sup>210</sup>Po in Nevada groundwater and its relation to gross alpha radioactivity","docAbstract":"Polonium-210 (<sup>210</sup>Po) is a highly toxic alpha emitter that is rarely found in groundwater at activities exceeding 1 pCi/L. <sup>210</sup>Po activities in 63 domestic and public-supply wells in Lahontan Valley in Churchill County in northern Nevada, United States, ranged from 0.01 ± 0.005 to 178 ± 16 pCi/L with a median activity of 2.88 pCi/L. Wells with high <sup>210</sup>Po activities had low dissolved oxygen concentrations (less than 0.1 mg/L) and commonly had pH greater than 9. Lead-210 activities are low and aqueous <sup>210</sup>Po is unsupported by <sup>210</sup>Pb, indicating that the <sup>210</sup>Po is mobilized from aquifer sediments. The only significant contributors to alpha particle activity in Lahontan Valley groundwater are <sup>234/238</sup>U, <sup>222</sup>Rn, and <sup>210</sup>Po. Radon-222 activities were below 1000 pCi/L and were uncorrelated with <sup>210</sup>Po activity. The only applicable drinking water standard for <sup>210</sup>Po in the United States is the adjusted gross alpha radioactivity (GAR) standard of 15 pCi/L. <sup>210</sup>Po was not volatile in a Nevada well, but volatile <sup>210</sup>Po has been reported in a Florida well. Additional information on the volatility of <sup>210</sup>Po is needed because GAR is an inappropriate method to screen for volatile radionuclides. About 25% of the samples had <sup>210</sup>Po activities that exceed the level associated with a lifetime total cancer risk of 1× 10<sup>−4</sup> (1.1 pCi/L) without exceeding the GAR standard. In cases where the 72-h GAR exceeds the uranium activity by more than 5 to 10 pCi/L, an analysis to rule out the presence of <sup>210</sup>Po may be justified to protect human health even though the maximum contaminant level for adjusted GAR is not exceeded.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1745-6584.2010.00688.x","issn":"0017467X","usgsCitation":"Seiler, R.L., 2011, <sup>210</sup>Po in Nevada groundwater and its relation to gross alpha radioactivity: Ground Water, v. 49, no. 2, p. 160-171, https://doi.org/10.1111/j.1745-6584.2010.00688.x.","productDescription":"12 p.","startPage":"160","endPage":"171","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":216353,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2010.00688.x"},{"id":244217,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,35.0 ], [ -120.0,42.0 ], [ -114.0,42.0 ], [ -114.0,35.0 ], [ -120.0,35.0 ] ] ] } } ] }","volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-22","publicationStatus":"PW","scienceBaseUri":"5059e252e4b0c8380cd45aae","contributors":{"authors":[{"text":"Seiler, R. L.","contributorId":87546,"corporation":false,"usgs":true,"family":"Seiler","given":"R.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":452514,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034438,"text":"70034438 - 2011 - Surface-water nutrient conditions and sources in the United States Pacific Northwest","interactions":[],"lastModifiedDate":"2012-12-19T15:51:00","indexId":"70034438","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Surface-water nutrient conditions and sources in the United States Pacific Northwest","docAbstract":"The SPAtially Referenced Regressions On Watershed attributes (SPARROW) model was used to perform an assessment of surface-water nutrient conditions and to identify important nutrient sources in watersheds of the Pacific Northwest region of the United States (U.S.) for the year 2002. Our models included variables representing nutrient sources as well as landscape characteristics that affect nutrient delivery to streams. Annual nutrient yields were higher in watersheds on the wetter, west side of the Cascade Range compared to watersheds on the drier, east side. High nutrient enrichment (relative to the U.S. Environmental Protection Agency's recommended nutrient criteria) was estimated in watersheds throughout the region. Forest land was generally the largest source of total nitrogen stream load and geologic material was generally the largest source of total phosphorus stream load generated within the 12,039 modeled watersheds. These results reflected the prevalence of these two natural sources and the low input from other nutrient sources across the region. However, the combined input from agriculture, point sources, and developed land, rather than natural nutrient sources, was responsible for most of the nutrient load discharged from many of the largest watersheds. Our results provided an understanding of the regional patterns in surface-water nutrient conditions and should be useful to environmental managers in future water-quality planning efforts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1752-1688.2011.00580.x","issn":"1093474X","usgsCitation":"Wise, D., and Johnson, H., 2011, Surface-water nutrient conditions and sources in the United States Pacific Northwest: Journal of the American Water Resources Association, v. 47, no. 5, p. 1110-1135, https://doi.org/10.1111/j.1752-1688.2011.00580.x.","productDescription":"26 p.","startPage":"1110","endPage":"1135","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":475401,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00580.x","text":"Publisher Index Page"},{"id":244532,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216649,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00580.x"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.7857,41.99 ], [ -124.7857,49.0024 ], [ -111.04,49.0024 ], [ -111.04,41.99 ], [ -124.7857,41.99 ] ] ] } } ] }","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"505ba16ee4b08c986b31f0a1","contributors":{"authors":[{"text":"Wise, D.R.","contributorId":44762,"corporation":false,"usgs":true,"family":"Wise","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":445779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, H.M. 0000-0002-7571-4994","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":75339,"corporation":false,"usgs":true,"family":"Johnson","given":"H.M.","affiliations":[],"preferred":false,"id":445780,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033807,"text":"70033807 - 2011 - Removal of inorganic mercury and methylmercury from surface waters following coagulation of dissolved organic matter with metal-based salts","interactions":[],"lastModifiedDate":"2020-01-28T17:01:12","indexId":"70033807","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Removal of inorganic mercury and methylmercury from surface waters following coagulation of dissolved organic matter with metal-based salts","docAbstract":"The presence of inorganic mercury (IHg) and methylmercury (MeHg) in surface waters is a health concern worldwide. This study assessed the removal potential use of metal-based coagulants as a means to remove both dissolved IHg and MeHg from natural waters and provides information regarding the importance of Hg associations with the dissolved organic matter (DOM) fraction and metal hydroxides. Previous research indicated coagulants were not effective at removing Hg from solution; however these studies used high concentrations of Hg and did not reflect naturally occurring concentrations of Hg. In this study, water collected from an agricultural drain in the Sacramento-San Joaquin Delta was filtered to isolate the dissolved organic matter (DOM) fraction. The DOM was then treated with a range of coagulant doses to determine the efficacy of removing all forms of Hg from solution. Three industrial-grade coagulants were tested: ferric chloride, ferric sulfate, and polyaluminum chloride. Coagulation removed up to 85% of DOM from solution. In the absence of DOM, all three coagulants released IHg into solution, however in the presence of DOM the coagulants removed up to 97% of IHg and 80% of MeHg. Results suggest that the removal of Hg is mediated by DOM-coagulant interactions. There was a preferential association of IHg with the more aromatic, higher molecular weight fraction of DOM but no such relationship was found for MeHg. This study offers new fundamental insights regarding large-scale removal of Hg at environmentally relevant regarding large-scale removal of Hg at environmentally relevant concentrations.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2010.10.030","issn":"00489697","usgsCitation":"Henneberry, Y., Kraus, T., Fleck, J., Krabbenhoft, D.P., Bachand, P., and Horwath, W., 2011, Removal of inorganic mercury and methylmercury from surface waters following coagulation of dissolved organic matter with metal-based salts: Science of the Total Environment, v. 409, no. 3, p. 631-637, https://doi.org/10.1016/j.scitotenv.2010.10.030.","productDescription":"7 p.","startPage":"631","endPage":"637","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":242100,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"409","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa72ce4b0c8380cd8527f","contributors":{"authors":[{"text":"Henneberry, Y.K.","contributorId":71402,"corporation":false,"usgs":true,"family":"Henneberry","given":"Y.K.","affiliations":[],"preferred":false,"id":442596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, T.E.C. 0000-0002-5187-8644","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":9758,"corporation":false,"usgs":true,"family":"Kraus","given":"T.E.C.","affiliations":[],"preferred":false,"id":442592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleck, J.A. 0000-0002-3217-3972","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":35864,"corporation":false,"usgs":true,"family":"Fleck","given":"J.A.","affiliations":[],"preferred":false,"id":442594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":442597,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bachand, P.M.","contributorId":54805,"corporation":false,"usgs":true,"family":"Bachand","given":"P.M.","email":"","affiliations":[],"preferred":false,"id":442595,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Horwath, W.R.","contributorId":14652,"corporation":false,"usgs":true,"family":"Horwath","given":"W.R.","affiliations":[],"preferred":false,"id":442593,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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