Concentrations of 31 metals, metalloids, and other elements were measured in insects and insectivorous bird tissues from three drainages with different geochemistry and mining histories in Summit Co., Colorado, in 2003, 2004, and 2005. In insect samples, all 25 elements that were analyzed in all years increased in both Snake and Deer Creeks in the mining impacted areas compared to areas above and below the mining impacted areas. This distribution of elements was predicted from known or expected sediment contamination resulting from abandoned mine tailings in those drainages. Element concentrations in avian liver tissues were in concordance with levels in insects, that is with concentrations higher in mid-drainage areas where mine tailings were present compared to both upstream and downstream locations; these differences were not always statistically different, however. The lack of statistically significant differences in liver tissues, except for a few elements, was due to relatively small sample sizes and because many of these elements are essential and therefore well regulated by the bird’s homeostatic processes. Most elements were at background concentrations in avian liver tissue except for Pb which was elevated at mid-drainage sites to levels where δ-aminolevulinic acid dehydratase activity was inhibited at other mining sites in Colorado. Lead exposure, however, was not at toxic levels. Fecal samples were not a good indication of what elements birds ingested and were potentially exposed to.
","language":"English","publisher":"Springer","doi":"10.1007/s10661-008-0346-y","issn":"01676369","usgsCitation":"Custer, C.M., Yang, C., Crock, J.G., Shearn-Bochsler, V.I., Smith, K.S., and Hageman, P.L., 2009, Exposure of insects and insectivorous birds to metals and other elements from abandoned mine tailings in three Summit County drainages, Colorado: Environmental Monitoring and Assessment, v. 153, no. 1-4, p. 161-177, https://doi.org/10.1007/s10661-008-0346-y.","productDescription":"17 p.","startPage":"161","endPage":"177","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":244119,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216258,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-008-0346-y"}],"volume":"153","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2008-06-05","publicationStatus":"PW","scienceBaseUri":"505a0e31e4b0c8380cd5333f","contributors":{"authors":[{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":452787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, Chi","contributorId":208440,"corporation":false,"usgs":false,"family":"Yang","given":"Chi","email":"","affiliations":[],"preferred":false,"id":452790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crock, James G. jcrock@usgs.gov","contributorId":200,"corporation":false,"usgs":true,"family":"Crock","given":"James","email":"jcrock@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":452789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shearn-Bochsler, Valerie I. 0000-0002-5590-6518 vbochsler@usgs.gov","orcid":"https://orcid.org/0000-0002-5590-6518","contributorId":3234,"corporation":false,"usgs":true,"family":"Shearn-Bochsler","given":"Valerie","email":"vbochsler@usgs.gov","middleInitial":"I.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":452786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Kathleen S. 0000-0001-8547-9804 ksmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8547-9804","contributorId":182,"corporation":false,"usgs":true,"family":"Smith","given":"Kathleen","email":"ksmith@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":452788,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hageman, Philip L. 0000-0002-3440-2150 phageman@usgs.gov","orcid":"https://orcid.org/0000-0002-3440-2150","contributorId":811,"corporation":false,"usgs":true,"family":"Hageman","given":"Philip","email":"phageman@usgs.gov","middleInitial":"L.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":452785,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70035858,"text":"70035858 - 2009 - Further declines in organochlorines in eggs of red-breasted mergansers from Lake Michigan, 1977-1978 versus 1990 versus 2002","interactions":[],"lastModifiedDate":"2018-10-05T10:13:58","indexId":"70035858","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Further declines in organochlorines in eggs of red-breasted mergansers from Lake Michigan, 1977-1978 versus 1990 versus 2002","docAbstract":"From 1977–1978 to 1990, concentrations of polychlorinated biphenyls (PCBs) and most organochlorine pesticides declined in eggs of red-breasted mergansers (Mergus serrator) nesting on islands in northwestern Lake Michigan. Further declines took place between 1990 and 2002. Between 1977–1978 and 1990 total PCBs decreased 60% (from 21 to 8.5 μg/g, wet weight). An additional decline of 46% took place between 1990 and 2002 (8.5 to 4.6 μg/g). Between 1977–1978 and 1990 p,p ′-DDE decreased 66% (from 6.5 to 2.2 μg/g), and from 1990 to 2002 an additional decline of 36% took place (from 2.2 to 1.4 μg/g). Between 1977–1978 and 1990 dieldrin decreased only 16% (from 0.82 to 0.69 μg/g), but from 1990 to 2002 a 96% decrease occurred (from 0.69 to 0.03 μg/g).
","language":"English","publisher":"Springer","doi":"10.1007/s10661-008-0619-5","issn":"01676369","usgsCitation":"Heinz, G.H., and Stromborg, K., 2009, Further declines in organochlorines in eggs of red-breasted mergansers from Lake Michigan, 1977-1978 versus 1990 versus 2002: Environmental Monitoring and Assessment, v. 159, no. 1-4, p. 163-168, https://doi.org/10.1007/s10661-008-0619-5.","productDescription":"6 p.","startPage":"163","endPage":"168","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":216228,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-008-0619-5"},{"id":244086,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"159","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2008-10-31","publicationStatus":"PW","scienceBaseUri":"505a1422e4b0c8380cd54913","contributors":{"authors":[{"text":"Heinz, G. H.","contributorId":85905,"corporation":false,"usgs":true,"family":"Heinz","given":"G.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":452779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stromborg, K. L.","contributorId":34466,"corporation":false,"usgs":true,"family":"Stromborg","given":"K. L.","affiliations":[],"preferred":false,"id":452778,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036401,"text":"70036401 - 2009 - Arsenite and ferrous iron oxidation linked to chemolithotrophic denitrification for the immobilization of arsenic in anoxic environments","interactions":[],"lastModifiedDate":"2018-10-15T10:45:29","indexId":"70036401","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Arsenite and ferrous iron oxidation linked to chemolithotrophic denitrification for the immobilization of arsenic in anoxic environments","docAbstract":"The objective of this study was to explore a bioremediation strategy based on injecting NO3− to support the anoxic oxidation of ferrous iron (Fe(II)) and arsenite (As(III)) in the subsurface as a means to immobilize As in the form of arsenate (As(V)) adsorbed onto biogenic ferric (Fe(III)) (hydr)oxides. Continuous flow sand filled columns were used to simulate a natural anaerobic groundwater and sediment system with co-occurring As(III) and Fe(II) in the presence (column SF1) or absence (column SF2) of nitrate, respectively. During operation for 250 days, the average influent arsenic concentration of 567 μg L−1 was reduced to 10.6 (±9.6) μg L−1 in the effluent of column SF1. The cumulative removal of Fe(II) and As(III) in SF1 was 6.5 to 10-fold higher than that in SF2. Extraction and measurement of the mass of iron and arsenic immobilized on the sand packing of the columns were close to the iron and arsenic removed from the aqueous phase during column operation. The dominant speciation of the immobilized iron and arsenic was Fe(III) and As(V) in SF1, compared with Fe(II) and As(III) in SF2. The speciation was confirmed by X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS). The results indicate that microbial oxidation of As(III) and Fe(II) linked to denitrification resulted in the enhanced immobilization of aqueous arsenic in anaerobic environments by forming Fe(III) (hydr)oxide coated sands with adsorbed As(V).
Using heat as a tracer, quantitative estimates of streambed fluxes and the critical stage for flow reversal were calculated for high‐flow events that occurred on the Bogue Phalia (a tributary of the Mississippi River) following the 2005 Hurricanes Katrina and Rita. In June 2005, piezometers were installed in the Bogue Phalia upstream from the stream gage near Leland, Mississippi, to monitor temperature. Even with the hurricanes, precipitation in the Bogue Phalia Basin for the months of June to October 2005 was below normal, and consequently, streamflow was below the long‐term average. Temperature profiles from the piezometers indicate that the Bogue Phalia was a gaining stream during most of this time, but relatively static streambed temperatures suggested long‐term data was warranted for heat‐based estimates of flux. However, the hurricanes caused a pair of sharp rises in stream stage over short periods of time, increasing the potential for rapid heat‐based modeling and for identification of the critical stage for flow reversal into the streambed. Heat‐based modeling fits of simulated‐to‐measured sediment temperatures show that once a critical stage was surpassed, flow direction reversed into the streambed. Results of this study demonstrate the ability to constrain estimates of streambed water flux and the critical stage of flow reversal, with little available groundwater head data, by using heat as a tracer during extreme stage events.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2007WR006121","usgsCitation":"Barlow, J.R., and Coupe, R.H., 2009, Use of heat to estimate streambed fluxes during extreme hydrologic events: Water Resources Research, v. 45, no. 1, Article W01403; 10 p., https://doi.org/10.1029/2007WR006121.","productDescription":"Article W01403; 10 p.","costCenters":[],"links":[{"id":244218,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-01-03","publicationStatus":"PW","scienceBaseUri":"505bbf21e4b08c986b329989","contributors":{"authors":[{"text":"Barlow, Jeannie R.B.","contributorId":33965,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"","middleInitial":"R.B.","affiliations":[],"preferred":false,"id":452646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coupe, Richard H. 0000-0001-8679-1015 rhcoupe@usgs.gov","orcid":"https://orcid.org/0000-0001-8679-1015","contributorId":551,"corporation":false,"usgs":true,"family":"Coupe","given":"Richard","email":"rhcoupe@usgs.gov","middleInitial":"H.","affiliations":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"preferred":true,"id":452647,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035825,"text":"70035825 - 2009 - Assessing the impact of land use change on hydrology by ensemble modelling (LUCHEM) II: Ensemble combinations and predictions","interactions":[],"lastModifiedDate":"2012-03-12T17:21:49","indexId":"70035825","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the impact of land use change on hydrology by ensemble modelling (LUCHEM) II: Ensemble combinations and predictions","docAbstract":"This paper reports on a project to compare predictions from a range of catchment models applied to a mesoscale river basin in central Germany and to assess various ensemble predictions of catchment streamflow. The models encompass a large range in inherent complexity and input requirements. In approximate order of decreasing complexity, they are DHSVM, MIKE-SHE, TOPLATS, WASIM-ETH, SWAT, PRMS, SLURP, HBV, LASCAM and IHACRES. The models are calibrated twice using different sets of input data. The two predictions from each model are then combined by simple averaging to produce a single-model ensemble. The 10 resulting single-model ensembles are combined in various ways to produce multi-model ensemble predictions. Both the single-model ensembles and the multi-model ensembles are shown to give predictions that are generally superior to those of their respective constituent models, both during a 7-year calibration period and a 9-year validation period. This occurs despite a considerable disparity in performance of the individual models. Even the weakest of models is shown to contribute useful information to the ensembles they are part of. The best model combination methods are a trimmed mean (constructed using the central four or six predictions each day) and a weighted mean ensemble (with weights calculated from calibration performance) that places relatively large weights on the better performing models. Conditional ensembles, in which separate model weights are used in different system states (e.g. summer and winter, high and low flows) generally yield little improvement over the weighted mean ensemble. However a conditional ensemble that discriminates between rising and receding flows shows moderate improvement. An analysis of ensemble predictions shows that the best ensembles are not necessarily those containing the best individual models. Conversely, it appears that some models that predict well individually do not necessarily combine well with other models in multi-model ensembles. The reasons behind these observations may relate to the effects of the weighting schemes, non-stationarity of the climate series and possible cross-correlations between models. Crown Copyright ?? 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Advances in Water Resources","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.advwatres.2008.05.006","issn":"03091708","usgsCitation":"Viney, N., Bormann, H., Breuer, L., Bronstert, A., Croke, B., Frede, H., Graff, T., Hubrechts, L., Huisman, J.A., Jakeman, A., Kite, G., Lanini, J., Leavesley, G., Lettenmaier, D., Lindstrom, G., Seibert, J., Sivapalan, M., and Willems, P., 2009, Assessing the impact of land use change on hydrology by ensemble modelling (LUCHEM) II: Ensemble combinations and predictions: Advances in Water Resources, v. 32, no. 2, p. 147-158, https://doi.org/10.1016/j.advwatres.2008.05.006.","startPage":"147","endPage":"158","numberOfPages":"12","costCenters":[],"links":[{"id":216197,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.advwatres.2008.05.006"},{"id":244051,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059edebe4b0c8380cd49ade","contributors":{"authors":[{"text":"Viney, N.R.","contributorId":11850,"corporation":false,"usgs":true,"family":"Viney","given":"N.R.","email":"","affiliations":[],"preferred":false,"id":452593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bormann, H.","contributorId":66091,"corporation":false,"usgs":true,"family":"Bormann","given":"H.","email":"","affiliations":[],"preferred":false,"id":452605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breuer, L.","contributorId":54814,"corporation":false,"usgs":true,"family":"Breuer","given":"L.","email":"","affiliations":[],"preferred":false,"id":452600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bronstert, A.","contributorId":98565,"corporation":false,"usgs":true,"family":"Bronstert","given":"A.","email":"","affiliations":[],"preferred":false,"id":452610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Croke, B.F.W.","contributorId":52809,"corporation":false,"usgs":true,"family":"Croke","given":"B.F.W.","affiliations":[],"preferred":false,"id":452599,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Frede, H.","contributorId":94927,"corporation":false,"usgs":true,"family":"Frede","given":"H.","affiliations":[],"preferred":false,"id":452609,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Graff, T.","contributorId":15803,"corporation":false,"usgs":true,"family":"Graff","given":"T.","email":"","affiliations":[],"preferred":false,"id":452595,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hubrechts, L.","contributorId":54815,"corporation":false,"usgs":true,"family":"Hubrechts","given":"L.","email":"","affiliations":[],"preferred":false,"id":452601,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Huisman, J. A.","contributorId":86591,"corporation":false,"usgs":false,"family":"Huisman","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":452606,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jakeman, A.J.","contributorId":12639,"corporation":false,"usgs":true,"family":"Jakeman","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":452594,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kite, G.W.","contributorId":42100,"corporation":false,"usgs":true,"family":"Kite","given":"G.W.","email":"","affiliations":[],"preferred":false,"id":452598,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lanini, J.","contributorId":89745,"corporation":false,"usgs":true,"family":"Lanini","given":"J.","email":"","affiliations":[],"preferred":false,"id":452607,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Leavesley, G.","contributorId":90483,"corporation":false,"usgs":true,"family":"Leavesley","given":"G.","email":"","affiliations":[],"preferred":false,"id":452608,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lettenmaier, D.P.","contributorId":61175,"corporation":false,"usgs":true,"family":"Lettenmaier","given":"D.P.","email":"","affiliations":[],"preferred":false,"id":452604,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lindstrom, G.","contributorId":27292,"corporation":false,"usgs":true,"family":"Lindstrom","given":"G.","email":"","affiliations":[],"preferred":false,"id":452596,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Seibert, J.","contributorId":37513,"corporation":false,"usgs":true,"family":"Seibert","given":"J.","email":"","affiliations":[],"preferred":false,"id":452597,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Sivapalan, M.","contributorId":59587,"corporation":false,"usgs":true,"family":"Sivapalan","given":"M.","email":"","affiliations":[],"preferred":false,"id":452603,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Willems, P.","contributorId":57685,"corporation":false,"usgs":true,"family":"Willems","given":"P.","email":"","affiliations":[],"preferred":false,"id":452602,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70035820,"text":"70035820 - 2009 - A one-dimensional heat-transport model for conduit flow in karst aquifers","interactions":[],"lastModifiedDate":"2012-03-12T17:21:49","indexId":"70035820","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"A one-dimensional heat-transport model for conduit flow in karst aquifers","docAbstract":"A one-dimensional heat-transport model for conduit flow in karst aquifers is presented as an alternative to two or three-dimensional distributed-parameter models, which are data intensive and require knowledge of conduit locations. This model can be applied for cases where water temperature in a well or spring receives all or part of its water from a phreatic conduit. Heat transport in the conduit is simulated by using a physically-based heat-transport equation that accounts for inflow of diffuse flow from smaller openings and fissures in the surrounding aquifer during periods of low recharge. Additional diffuse flow that is within the zone of influence of the well or spring but has not interacted with the conduit is accounted for with a binary mixing equation to proportion these different water sources. The estimation of this proportion through inverse modeling is useful for the assessment of contaminant vulnerability and well-head or spring protection. The model was applied to 7 months of continuous temperature data for a sinking stream that recharges a conduit and a pumped well open to the Madison aquifer in western South Dakota. The simulated conduit-flow fraction to the well ranged from 2% to 31% of total flow, and simulated conduit velocity ranged from 44 to 353 m/d.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2009.09.024","issn":"00221694","usgsCitation":"Long, A., and Gilcrease, P., 2009, A one-dimensional heat-transport model for conduit flow in karst aquifers: Journal of Hydrology, v. 378, no. 3-4, p. 230-239, https://doi.org/10.1016/j.jhydrol.2009.09.024.","startPage":"230","endPage":"239","numberOfPages":"10","costCenters":[],"links":[{"id":243955,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216109,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2009.09.024"}],"volume":"378","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e4cae4b0c8380cd4692b","contributors":{"authors":[{"text":"Long, Andrew J.","contributorId":80023,"corporation":false,"usgs":false,"family":"Long","given":"Andrew J.","affiliations":[],"preferred":false,"id":452574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilcrease, P.C.","contributorId":58116,"corporation":false,"usgs":true,"family":"Gilcrease","given":"P.C.","email":"","affiliations":[],"preferred":false,"id":452573,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036312,"text":"70036312 - 2009 - Application of iron and zinc isotopes to track the sources and mechanisms of metal loading in a mountain watershed","interactions":[],"lastModifiedDate":"2018-10-05T10:12:53","indexId":"70036312","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Application of iron and zinc isotopes to track the sources and mechanisms of metal loading in a mountain watershed","docAbstract":"Here the hydrogeochemical constraints of a tracer dilution study are combined with Fe and Zn isotopic measurements to pinpoint metal loading sources and attenuation mechanisms in an alpine watershed impacted by acid mine drainage. In the tested mountain catchment, δ56Fe and δ66Zn isotopic signatures of filtered stream water samples varied by ∼3.5‰ and 0.4‰, respectively. The inherent differences in the aqueous geochemistry of Fe and Zn provided complimentary isotopic information. For example, variations in δ56Fe were linked to redox and precipitation reactions occurring in the stream, while changes in δ66Zn were indicative of conservative mixing of different Zn sources. Fen environments contributed distinctively light dissolved Fe (<−2.0‰) and isotopically heavy suspended Fe precipitates to the watershed, while Zn from the fen was isotopically heavy (>+0.4‰). Acidic drainage from mine wastes contributed heavier dissolved Fe (∼+0.5‰) and lighter Zn (∼+0.2‰) isotopes relative to the fen. Upwelling of Fe-rich groundwater near the mouth of the catchment was the major source of Fe (δ56Fe ∼ 0‰) leaving the watershed in surface flow, while runoff from mining wastes was the major source of Zn. The results suggest that given a strong framework for interpretation, Fe and Zn isotopes are useful tools for identifying and tracking metal sources and attenuation mechanisms in mountain watersheds.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2009.03.010","issn":"08832927","usgsCitation":"Borrok, D., Wanty, R., Ian, R.W., Lamothe, P.J., Kimball, B.A., Verplanck, P., and Runkel, R., 2009, Application of iron and zinc isotopes to track the sources and mechanisms of metal loading in a mountain watershed: Applied Geochemistry, v. 24, no. 7, p. 1270-1277, https://doi.org/10.1016/j.apgeochem.2009.03.010.","productDescription":"8 p.","startPage":"1270","endPage":"1277","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":246185,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218199,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2009.03.010"}],"volume":"24","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eca5e4b0c8380cd493dd","contributors":{"authors":[{"text":"Borrok, D.M.","contributorId":38775,"corporation":false,"usgs":true,"family":"Borrok","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":455443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wanty, R. B. 0000-0002-2063-6423","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":66704,"corporation":false,"usgs":true,"family":"Wanty","given":"R. B.","affiliations":[],"preferred":false,"id":455445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ian, Ridley W.","contributorId":96938,"corporation":false,"usgs":true,"family":"Ian","given":"Ridley","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":455447,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamothe, P. J.","contributorId":45672,"corporation":false,"usgs":true,"family":"Lamothe","given":"P.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":455444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kimball, B. A.","contributorId":87583,"corporation":false,"usgs":false,"family":"Kimball","given":"B.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":455446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Verplanck, P. L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":106565,"corporation":false,"usgs":true,"family":"Verplanck","given":"P. L.","affiliations":[],"preferred":false,"id":455449,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Runkel, R.L.","contributorId":97529,"corporation":false,"usgs":true,"family":"Runkel","given":"R.L.","affiliations":[],"preferred":false,"id":455448,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70035788,"text":"70035788 - 2009 - Assessing the occurrence and distribution of pyrethroids in water and suspended sediments","interactions":[],"lastModifiedDate":"2018-10-10T07:29:28","indexId":"70035788","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2149,"text":"Journal of Agricultural and Food Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the occurrence and distribution of pyrethroids in water and suspended sediments","docAbstract":"The distribution of pyrethroid insecticides in the environment was assessed by separately measuring concentrations in the dissolved and suspended sediment phases of surface water samples. Filtered water was extracted by HLB solid-phase extraction cartridges, while the sediment on the filter was sonicated and cleaned up using carbon and aluminum cartridges. Detection limits for the 13 pyrethroids analyzed by gas chromatography-tandem mass spectrometry were 0.5 to 1 ng L-1 for water and 2 to 6 ng g for the suspended sediments. Seven pyrethroids were detected in six water samples collected from either urban or agricultural creeks, with bifenthrin detected the most frequently and at the highest concentrations. In spiked water samples and field samples, the majority of the pyrethroids were associated with the suspended sediments.","language":"English","publisher":"ACS","doi":"10.1021/jf9020448","issn":"00218561","usgsCitation":"Hladik, M., and Kuivila, K., 2009, Assessing the occurrence and distribution of pyrethroids in water and suspended sediments: Journal of Agricultural and Food Chemistry, v. 57, no. 19, p. 9079-9085, https://doi.org/10.1021/jf9020448.","productDescription":"7 p.","startPage":"9079","endPage":"9085","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":216107,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/jf9020448"},{"id":243953,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"19","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059edede4b0c8380cd49af0","contributors":{"authors":[{"text":"Hladik, M.L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":51111,"corporation":false,"usgs":true,"family":"Hladik","given":"M.L.","affiliations":[],"preferred":false,"id":452380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuivila, K.M.","contributorId":34529,"corporation":false,"usgs":true,"family":"Kuivila","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":452379,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035787,"text":"70035787 - 2009 - Water-quality assessment of the largely urban blue river basin, Metropolitan Kansas City, USA, 1998 to 2007","interactions":[],"lastModifiedDate":"2012-03-12T17:21:49","indexId":"70035787","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Water-quality assessment of the largely urban blue river basin, Metropolitan Kansas City, USA, 1998 to 2007","docAbstract":"From 1998 through 2007, over 750 surface-water or bed-sediment samples in the Blue River Basin - a largely urban basin in metropolitan Kansas City - were analyzed for more than 100 anthropogenic compounds. Compounds analyzed included nutrients, fecal-indicator bacteria, suspended sediment, pharmaceuticals and personal care products. Non-point source runoff, hydrologic alterations, and numerous waste-water discharge points resulted in the routine detection of complex mixtures of anthropogenic compounds in samples from basin stream sites. Temporal and spatial variations in concentrations and loads of nutrients, pharmaceuticals, and organic wastewater compounds were observed, primarily related to a site's proximity to point-source discharges and stream-flow dynamics. ?? 2009 ASCE.","largerWorkTitle":"Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers","conferenceTitle":"World Environmental and Water Resources Congress 2009: Great Rivers","conferenceDate":"17 May 2009 through 21 May 2009","conferenceLocation":"Kansas City, MO","language":"English","doi":"10.1061/41036(342)461","isbn":"9780784410363","usgsCitation":"Wilkison, D., Armstrong, D., and Hampton, S., 2009, Water-quality assessment of the largely urban blue river basin, Metropolitan Kansas City, USA, 1998 to 2007, in Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers, v. 342, Kansas City, MO, 17 May 2009 through 21 May 2009, p. 4590-4598, https://doi.org/10.1061/41036(342)461.","startPage":"4590","endPage":"4598","numberOfPages":"9","costCenters":[],"links":[{"id":216106,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/41036(342)461"},{"id":243952,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"342","noUsgsAuthors":false,"publicationDate":"2012-04-26","publicationStatus":"PW","scienceBaseUri":"505bcdd1e4b08c986b32e0ed","contributors":{"authors":[{"text":"Wilkison, D.H.","contributorId":39800,"corporation":false,"usgs":true,"family":"Wilkison","given":"D.H.","email":"","affiliations":[],"preferred":false,"id":452376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Armstrong, D.J.","contributorId":64058,"corporation":false,"usgs":true,"family":"Armstrong","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":452377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hampton, S.A.","contributorId":71790,"corporation":false,"usgs":true,"family":"Hampton","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":452378,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035772,"text":"70035772 - 2009 - Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM) III: Scenario analysis","interactions":[],"lastModifiedDate":"2012-03-12T17:21:52","indexId":"70035772","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM) III: Scenario analysis","docAbstract":"An ensemble of 10 hydrological models was applied to the same set of land use change scenarios. There was general agreement about the direction of changes in the mean annual discharge and 90% discharge percentile predicted by the ensemble members, although a considerable range in the magnitude of predictions for the scenarios and catchments under consideration was obvious. Differences in the magnitude of the increase were attributed to the different mean annual actual evapotranspiration rates for each land use type. The ensemble of model runs was further analyzed with deterministic and probabilistic ensemble methods. The deterministic ensemble method based on a trimmed mean resulted in a single somewhat more reliable scenario prediction. The probabilistic reliability ensemble averaging (REA) method allowed a quantification of the model structure uncertainty in the scenario predictions. It was concluded that the use of a model ensemble has greatly increased our confidence in the reliability of the model predictions. ?? 2008 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Advances in Water Resources","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.advwatres.2008.06.009","issn":"03091708","usgsCitation":"Huisman, J.A., Breuer, L., Bormann, H., Bronstert, A., Croke, B., Frede, H., Graff, T., Hubrechts, L., Jakeman, A., Kite, G., Lanini, J., Leavesley, G., Lettenmaier, D., Lindstrom, G., Seibert, J., Sivapalan, M., Viney, N., and Willems, P., 2009, Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM) III: Scenario analysis: Advances in Water Resources, v. 32, no. 2, p. 159-170, https://doi.org/10.1016/j.advwatres.2008.06.009.","startPage":"159","endPage":"170","numberOfPages":"12","costCenters":[],"links":[{"id":476330,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1885/57021","text":"External Repository"},{"id":216350,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.advwatres.2008.06.009"},{"id":244214,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059edeae4b0c8380cd49ad8","contributors":{"authors":[{"text":"Huisman, J. A.","contributorId":86591,"corporation":false,"usgs":false,"family":"Huisman","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":452297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breuer, L.","contributorId":54814,"corporation":false,"usgs":true,"family":"Breuer","given":"L.","email":"","affiliations":[],"preferred":false,"id":452291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bormann, H.","contributorId":66091,"corporation":false,"usgs":true,"family":"Bormann","given":"H.","email":"","affiliations":[],"preferred":false,"id":452296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bronstert, A.","contributorId":98565,"corporation":false,"usgs":true,"family":"Bronstert","given":"A.","email":"","affiliations":[],"preferred":false,"id":452300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Croke, B.F.W.","contributorId":52809,"corporation":false,"usgs":true,"family":"Croke","given":"B.F.W.","affiliations":[],"preferred":false,"id":452290,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Frede, H.-G.","contributorId":23783,"corporation":false,"usgs":true,"family":"Frede","given":"H.-G.","email":"","affiliations":[],"preferred":false,"id":452287,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Graff, T.","contributorId":15803,"corporation":false,"usgs":true,"family":"Graff","given":"T.","email":"","affiliations":[],"preferred":false,"id":452286,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hubrechts, L.","contributorId":54815,"corporation":false,"usgs":true,"family":"Hubrechts","given":"L.","email":"","affiliations":[],"preferred":false,"id":452292,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jakeman, A.J.","contributorId":12639,"corporation":false,"usgs":true,"family":"Jakeman","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":452285,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kite, G.","contributorId":11443,"corporation":false,"usgs":true,"family":"Kite","given":"G.","email":"","affiliations":[],"preferred":false,"id":452283,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lanini, J.","contributorId":89745,"corporation":false,"usgs":true,"family":"Lanini","given":"J.","email":"","affiliations":[],"preferred":false,"id":452298,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Leavesley, G.","contributorId":90483,"corporation":false,"usgs":true,"family":"Leavesley","given":"G.","email":"","affiliations":[],"preferred":false,"id":452299,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lettenmaier, D.P.","contributorId":61175,"corporation":false,"usgs":true,"family":"Lettenmaier","given":"D.P.","email":"","affiliations":[],"preferred":false,"id":452295,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lindstrom, G.","contributorId":27292,"corporation":false,"usgs":true,"family":"Lindstrom","given":"G.","email":"","affiliations":[],"preferred":false,"id":452288,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Seibert, J.","contributorId":37513,"corporation":false,"usgs":true,"family":"Seibert","given":"J.","email":"","affiliations":[],"preferred":false,"id":452289,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sivapalan, M.","contributorId":59587,"corporation":false,"usgs":true,"family":"Sivapalan","given":"M.","email":"","affiliations":[],"preferred":false,"id":452294,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Viney, N.R.","contributorId":11850,"corporation":false,"usgs":true,"family":"Viney","given":"N.R.","email":"","affiliations":[],"preferred":false,"id":452284,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Willems, P.","contributorId":57685,"corporation":false,"usgs":true,"family":"Willems","given":"P.","email":"","affiliations":[],"preferred":false,"id":452293,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70035764,"text":"70035764 - 2009 - Dual-core mass-balance approach for evaluating mercury and210Pb atmospheric fallout and focusing to lakes","interactions":[],"lastModifiedDate":"2018-10-12T08:19:14","indexId":"70035764","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Dual-core mass-balance approach for evaluating mercury and210Pb atmospheric fallout and focusing to lakes","docAbstract":"Determining atmospheric deposition rates of mercury and other contaminants using lake sediment cores requires a quantitative understanding of sediment focusing. Here we present a novel approach that solves mass-balance equations for two cores algebraically to estimate contaminant contributions to sediment from direct atmospheric fallout and from watershed and in-lake focusing. The model is applied to excess 210Pb and Hg in cores from Hobbs Lake, a high-altitude lake in Wyoming. Model results for excess 210Pb are consistent with estimates of fallout and focusing factors computed using excess 210Pb burdens in lake cores and soil cores from the watershed and model results for Hg fallout are consistent with fallout estimated using the soil-core-based 210Pb focusing factors. The lake cores indicate small increases in mercury deposition beginning in the late 1800s and large increases after 1940, with the maximum at the tops of the cores of 16-20 ??g/m 2year. These results suggest that global Hg emissions and possibly regional emissions in the western United States are affecting the north-central Rocky Mountains. Hg fallout estimates are generally consistent with fallout reported from an ice core from the nearby Upper Fremont Glacier, but with several notable differences. The model might not work for lakes with complex geometries and multiple sediment inputs, but for lakes with simple geometries, like Hobbs, it can provide a quantitative approach for evaluating sediment focusing and estimating contaminant fallout.","language":"English","publisher":"ACS","doi":"10.1021/es801490c","issn":"0013936X","usgsCitation":"Van Metre, P., and Fuller, C.C., 2009, Dual-core mass-balance approach for evaluating mercury and210Pb atmospheric fallout and focusing to lakes: Environmental Science & Technology, v. 43, no. 1, p. 26-32, https://doi.org/10.1021/es801490c.","productDescription":"7 p.","startPage":"26","endPage":"32","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":244080,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216222,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es801490c"}],"volume":"43","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-12-02","publicationStatus":"PW","scienceBaseUri":"505a0407e4b0c8380cd50752","contributors":{"authors":[{"text":"Van Metre, P. C.","contributorId":92999,"corporation":false,"usgs":true,"family":"Van Metre","given":"P. C.","affiliations":[],"preferred":false,"id":452238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, C. C.","contributorId":29858,"corporation":false,"usgs":true,"family":"Fuller","given":"C.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":452237,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035763,"text":"70035763 - 2009 - Using \"big data\" to optimally model hydrology and water quality across expansive regions","interactions":[],"lastModifiedDate":"2012-03-12T17:21:48","indexId":"70035763","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using \"big data\" to optimally model hydrology and water quality across expansive regions","docAbstract":"This paper describes a new divide and conquer approach that leverages big environmental data, utilizing all available categorical and time-series data without subjectivity, to empirically model hydrologic and water-quality behaviors across expansive regions. The approach decomposes large, intractable problems into smaller ones that are optimally solved; decomposes complex signals into behavioral components that are easier to model with \"sub- models\"; and employs a sequence of numerically optimizing algorithms that include time-series clustering, nonlinear, multivariate sensitivity analysis and predictive modeling using multi-layer perceptron artificial neural networks, and classification for selecting the best sub-models to make predictions at new sites. This approach has many advantages over traditional modeling approaches, including being faster and less expensive, more comprehensive in its use of available data, and more accurate in representing a system's physical processes. This paper describes the application of the approach to model groundwater levels in Florida, stream temperatures across Western Oregon and Wisconsin, and water depths in the Florida Everglades. ?? 2009 ASCE.","largerWorkTitle":"Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers","conferenceTitle":"World Environmental and Water Resources Congress 2009: Great Rivers","conferenceDate":"17 May 2009 through 21 May 2009","conferenceLocation":"Kansas City, MO","language":"English","doi":"10.1061/41036(342)653","isbn":"9780784410363","usgsCitation":"Roehl, E., Cook, J., and Conrads, P., 2009, Using \"big data\" to optimally model hydrology and water quality across expansive regions, in Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers, v. 342, Kansas City, MO, 17 May 2009 through 21 May 2009, p. 6446-6460, https://doi.org/10.1061/41036(342)653.","startPage":"6446","endPage":"6460","numberOfPages":"15","costCenters":[],"links":[{"id":216194,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/41036(342)653"},{"id":244048,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"342","noUsgsAuthors":false,"publicationDate":"2012-04-26","publicationStatus":"PW","scienceBaseUri":"505bc009e4b08c986b329eb9","contributors":{"authors":[{"text":"Roehl, E.A. Jr.","contributorId":21370,"corporation":false,"usgs":true,"family":"Roehl","given":"E.A.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":452234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, J.B.","contributorId":35978,"corporation":false,"usgs":true,"family":"Cook","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":452235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conrads, P.A.","contributorId":57493,"corporation":false,"usgs":true,"family":"Conrads","given":"P.A.","email":"","affiliations":[],"preferred":false,"id":452236,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035735,"text":"70035735 - 2009 - Local-scale variability of seepage and hydraulic conductivity in a shallow gravel-bed river","interactions":[],"lastModifiedDate":"2012-03-12T17:21:52","indexId":"70035735","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Local-scale variability of seepage and hydraulic conductivity in a shallow gravel-bed river","docAbstract":"Seepage rate and direction measured with a seepage metre modified for use in flowing water were greatly variable along a 300-m reach of a shallow, gravel-bed river and depended primarily on the local-scale bed topography. The median value of seepage measured at 24 locations was 24 cm/day, but seepage measured at specific sites ranged from -340 to +237 cm/day. Seepage also varied substantially over periods of hours to days and occasionally reversed direction in response to evolution of the sediment bed. Vertical hydraulic conductivity was related to seepage direction and was larger during upward seepage than during downward seepage; with differences ranging from 4 to 40% in areas of active sediment transport to more than an order of magnitude in areas where current was too slow to mobilize bed sediment. Seepage was poorly related to hydraulic gradient measured over vertical distances of 0.3 m and appeared to be opposite the hydraulic gradient at 18% of the locations where both parameters were measured. Results demonstrate the scale dependence of these measurements in coarse-grained hyporheic settings and indicate that hydraulic gradients should be determined over a much shorter vertical increment if used to indicate exchange across the sediment-water interface. Published in 2009 by John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/hyp.7433","issn":"08856087","usgsCitation":"Rosenberry, D., and Pitlick, J., 2009, Local-scale variability of seepage and hydraulic conductivity in a shallow gravel-bed river: Hydrological Processes, v. 23, no. 23, p. 3306-3318, https://doi.org/10.1002/hyp.7433.","startPage":"3306","endPage":"3318","numberOfPages":"13","costCenters":[],"links":[{"id":216315,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.7433"},{"id":244178,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"23","noUsgsAuthors":false,"publicationDate":"2009-09-15","publicationStatus":"PW","scienceBaseUri":"505a48ece4b0c8380cd68225","contributors":{"authors":[{"text":"Rosenberry, D.O. 0000-0003-0681-5641","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":38500,"corporation":false,"usgs":true,"family":"Rosenberry","given":"D.O.","affiliations":[],"preferred":true,"id":452125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitlick, J.","contributorId":57020,"corporation":false,"usgs":true,"family":"Pitlick","given":"J.","affiliations":[],"preferred":false,"id":452126,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035731,"text":"70035731 - 2009 - Concentrations and loads of suspended sediment-associated pesticides in the San Joaquin River, California and tributaries during storm events","interactions":[],"lastModifiedDate":"2018-10-10T09:50:20","indexId":"70035731","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Concentrations and loads of suspended sediment-associated pesticides in the San Joaquin River, California and tributaries during storm events","docAbstract":"Current-use pesticides associated with suspended sediments were measured in the San Joaquin River, California and its tributaries during two storm events in 2008. Nineteen pesticides were detected: eight herbicides, nine insecticides, one fungicide and one insecticide synergist. Concentrations for the herbicides (0.1 to 3000 ng/g; median of 6.1 ng/g) were generally greater than those for the insecticides (0.2 to 51 ng/g; median of 1.5 ng/g). Concentrations in the tributaries were usually greater than in the mainstem San Joaquin River and the west side tributaries were higher than the east side tributaries. Estimated instantaneous loads ranged from 1.3 to 320 g/day for herbicides and 0.03 to 53 g/day for insecticides. The greatest instantaneous loads came from the Merced River on the east side. Instantaneous loads were greater for the first storm of 2008 than the second storm in the tributaries while the instantaneous loads within the San Joaquin River were greater during the second storm. Pesticide detections generally reflected pesticide application, but other factors such as physical-chemical properties and timing of application were also important to pesticide loads.","language":"English","doi":"10.1016/j.scitotenv.2009.09.040","issn":"00489697","usgsCitation":"Hladik, M., Domagalski, J.L., and Kuivila, K., 2009, Concentrations and loads of suspended sediment-associated pesticides in the San Joaquin River, California and tributaries during storm events: Science of the Total Environment, v. 408, no. 2, p. 356-364, https://doi.org/10.1016/j.scitotenv.2009.09.040.","productDescription":"9 p.","startPage":"356","endPage":"364","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":244112,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216251,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2009.09.040"}],"volume":"408","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f989e4b0c8380cd4d66b","contributors":{"authors":[{"text":"Hladik, M.L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":51111,"corporation":false,"usgs":true,"family":"Hladik","given":"M.L.","affiliations":[],"preferred":false,"id":452102,"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":452101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuivila, K.M.","contributorId":34529,"corporation":false,"usgs":true,"family":"Kuivila","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":452100,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035706,"text":"70035706 - 2009 - Modeling nitrate-nitrogen load reduction strategies for the des moines river, iowa using SWAT","interactions":[],"lastModifiedDate":"2012-03-12T17:21:51","indexId":"70035706","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Modeling nitrate-nitrogen load reduction strategies for the des moines river, iowa using SWAT","docAbstract":"The Des Moines River that drains a watershed of 16,175 km2 in portions of Iowa and Minnesota is impaired for nitrate-nitrogen (nitrate) due to concentrations that exceed regulatory limits for public water supplies. The Soil Water Assessment Tool (SWAT) model was used to model streamflow and nitrate loads and evaluate a suite of basin-wide changes and targeting configurations to potentially reduce nitrate loads in the river. The SWAT model comprised 173 subbasins and 2,516 hydrologic response units and included point and nonpoint nitrogen sources. The model was calibrated for an 11-year period and three basin-wide and four targeting strategies were evaluated. Results indicated that nonpoint sources accounted for 95% of the total nitrate export. Reduction in fertilizer applications from 170 to 50 kg/ha achieved the 38% reduction in nitrate loads, exceeding the 34% reduction required. In terms of targeting, the most efficient load reductions occurred when fertilizer applications were reduced in subbasins nearest the watershed outlet. The greatest load reduction for the area of land treated was associated with reducing loads from 55 subbasins with the highest nitrate loads, achieving a 14% reduction in nitrate loads achieved by reducing applications on 30% of the land area. SWAT model results provide much needed guidance on how to begin implementing load reduction strategies most efficiently in the Des Moines River watershed. ?? 2009 Springer Science+Business Media, LLC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00267-009-9364-y","issn":"0364152X","usgsCitation":"Schilling, K.E., and Wolter, C., 2009, Modeling nitrate-nitrogen load reduction strategies for the des moines river, iowa using SWAT: Environmental Management, v. 44, no. 4, p. 671-682, https://doi.org/10.1007/s00267-009-9364-y.","startPage":"671","endPage":"682","numberOfPages":"12","costCenters":[],"links":[{"id":244176,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216313,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-009-9364-y"}],"volume":"44","issue":"4","noUsgsAuthors":false,"publicationDate":"2009-08-26","publicationStatus":"PW","scienceBaseUri":"505a5c0fe4b0c8380cd6f9d0","contributors":{"authors":[{"text":"Schilling, K. E.","contributorId":61982,"corporation":false,"usgs":true,"family":"Schilling","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":451996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolter, C.F.","contributorId":23301,"corporation":false,"usgs":true,"family":"Wolter","given":"C.F.","email":"","affiliations":[],"preferred":false,"id":451995,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035686,"text":"70035686 - 2009 - A carbon, nitrogen, and sulfur elemental and isotopic study in dated sediment cores from the Louisiana Shelf","interactions":[],"lastModifiedDate":"2018-10-12T09:55:36","indexId":"70035686","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1742,"text":"Geo-Marine Letters","active":true,"publicationSubtype":{"id":10}},"title":"A carbon, nitrogen, and sulfur elemental and isotopic study in dated sediment cores from the Louisiana Shelf","docAbstract":"Three sediment cores were collected off the Mississippi River delta on the Louisiana Shelf at sites that are variably influenced by recurring, summer-time water-column hypoxia and fluvial loadings. The cores, with established chronology, were analyzed for their respective carbon, nitrogen, and sulfur elemental and isotopic composition to examine variable organic matter inputs, and to assess the sediment record for possible evidence of hypoxic events. Sediment from site MRJ03-3, which is located close to the Mississippi Canyon and generally not influenced by summer-time hypoxia, is typical of marine sediment in that it contains mostly marine algae and fine-grained material from the erosion of terrestrial C4 plants. Sediment from site MRJ03-2, located closer to the mouth of the Mississippi River and at the periphery of the hypoxic zone (annual recurrence of summer-time hypoxia >50%), is similar in composition to core MRJ03-3, but exhibits more isotopic and elemental variability down-core, suggesting that this site is more directly influenced by river discharge. Site MRJ03-5 is located in an area of recurring hypoxia (annual recurrence >75%), and is isotopically and elementally distinct from the other two cores. The carbon and nitrogen isotopic composition of this core prior to 1960 is similar to average particulate organic matter from the lower Mississippi River, and approaches the composition of C3 plants. This site likely receives a greater input of local terrestrial organic matter to the sediment. After 1960 and to the present, a gradual shift to higher values of δ13C and δ15N and lower C:N ratios suggests that algal input to these shelf sediments increased as a result of increased productivity and hypoxia. The values of C:S and δ34S reflect site-specific processes that may be influenced by the higher likelihood of recurring seasonal hypoxia. In particular, the temporal variations in the C:S and δ34S down-core are likely caused by changes in the rate of sulfate reduction, and hence the degree of hypoxia in the overlying water column. Based principally on the down-core C:N and C:S ratios and δ13C and δ34S profiles, sites MRJ03-3 and MRJ03-2 generally reflect more marine organic matter inputs, while site MRJ03-5 appears to be more influenced by terrestrial deposition.
An analytical method for the identification of eight plant phytoestrogens (biochanin A, coumestrol, daidzein, equol, formononetin, glycitein, genistein and prunetin) in soy products and wastewater samples was developed using gas chromatography coupled with ion trap mass spectrometry (GC/MS–MS). The phytoestrogens were derivatized as their trimethylsilyl ethers with trimethylchlorosilane (TMCS) and N,O-bis(trimethylsilyl)trifluoroacetamide (BSTFA). The phytoestrogens were isolated from all samples with liquid–liquid extraction using ethyl acetate. Daidzein-d4 and genistein-d4 labeled standards were used as internal standards before extraction and derivatization. The fragmentation patterns of the phytoestrogens were investigated by isolating and fragmenting the precursor ions in the ion-trap and a typical fragmentation involved the loss of a methyl and a carbonyl group. Two characteristic fragment ions for each analyte were chosen for identification and confirmation. The developed methodology was applied to the identification and confirmation of phytoestrogens in soy milk, in wastewater effluent from a soy-milk processing plant, and in wastewater (influent and effluent) from a treatment plant. Detected concentrations of genistein ranged from 50,000 μg/L and 2000 μg/L in soy milk and in wastewater from a soy-plant, respectively, to 20 μg/L and <1 μg/L for influent and effluent from a wastewater treatment plant, respectively.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chroma.2009.06.042","usgsCitation":"Ferrar, I., Barber, L.B., and Thurman, E.M., 2009, Gas chromatographic–mass spectrometric fragmentation study of phytoestrogens as their trimethylsilyl derivatives: Identification in soy milk and wastewater samples: Journal of Chromatography A, v. 1216, no. 32, p. 6024-6032, https://doi.org/10.1016/j.chroma.2009.06.042.","productDescription":"9 p.","startPage":"6024","endPage":"6032","ipdsId":"IP-012660","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":245753,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1216","issue":"32","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a14c5e4b0c8380cd54b62","contributors":{"authors":[{"text":"Ferrar, Imma","contributorId":169361,"corporation":false,"usgs":false,"family":"Ferrar","given":"Imma","email":"","affiliations":[{"id":25479,"text":"CU Boulder","active":true,"usgs":false}],"preferred":false,"id":456917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":456916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thurman, E. Michael","contributorId":9636,"corporation":false,"usgs":true,"family":"Thurman","given":"E.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":456918,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70032457,"text":"70032457 - 2009 - Case study of a full-scale evapotranspiration cover","interactions":[],"lastModifiedDate":"2018-10-12T09:47:52","indexId":"70032457","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2327,"text":"Journal of Geotechnical and Geoenvironmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Case study of a full-scale evapotranspiration cover","docAbstract":"The design, construction, and performance analyses of a 6.1ha evapotranspiration (ET) landfill cover at the semiarid U.S. Army Fort Carson site, near Colorado Springs, Colo. are presented. Initial water-balance model simulations, using literature reported soil hydraulic data, aided selection of borrow-source soil type(s) that resulted in predictions of negligible annual drainage (⩽1mm∕year). Final construction design was based on refined water-balance simulations using laboratory determined soil hydraulic values from borrow area natural soil horizons that were described with USDA soil classification methods. Cover design components included a 122cm thick clay loam (USDA), compaction ⩽80% of the standard Proctor maximum dry density (dry bulk density ∼1.3Mg/m3), erosion control measures, top soil amended with biosolids, and seeding with native grasses. Favorable hydrologic performance for a 5year period was documented by lysimeter-measured and Richards’-based calculations of annual drainage that were all <0.4mm∕year. Water potential data suggest that ET removed water that infiltrated the cover and contributed to a persistent driving force for upward flow and removal of water from below the base of the cover.