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,{"id":70043684,"text":"70043684 - 2010 - Wild Steelhead and introduced spring Chinook Salmon in the Wind River, Washington: Overlapping populations and interactions","interactions":[],"lastModifiedDate":"2016-12-27T13:14:21","indexId":"70043684","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Wild Steelhead and introduced spring Chinook Salmon in the Wind River, Washington: Overlapping populations and interactions","docAbstract":"We investigated interactions of introduced juvenile spring Chinook salmon Oncorhynchus tshawytscha with wild juvenile steelhead O. mykiss in the upper Wind River watershed (rkm 24.6 to rkm 43.8), Washington. Our objective was to determine if the presence of introduced spring Chinook salmon influenced populations of wild juvenile steelhead and if other biotic or abiotic factors influenced distribution and populations of these species. We snorkeled to assess distribution and abundance in one to six stream reaches per year during 2001 through 2007. Juvenile steelhead were found in each sampled reach each year, but juvenile Chinook salmon were not. The upstream extent of distribution of juvenile Chinook salmon varied from rkm 29.7 to 42.5. Our analyses suggest that juvenile Chinook salmon distribution was much influenced by flow during the spawning season. Low flow appeared to limit access of escaped adult Chinook salmon to upper stream reaches. Abundance of juvenile Chinook salmon was also influenced by base flow during the previous year, with base flow occurring post spawn in late August or early September. There were no relationships between juvenile Chinook salmon abundance and number of Chinook salmon spawners, magnitude of winter flow that might scour redds, or abundance of juvenile steelhead. Abundance of age-0 steelhead was influenced primarily by the number of steelhead spawners the previous year, and abundance of age-1 steelhead was influenced primarily by abundance of age-0 steelhead the previous year. Juvenile steelhead abundance did not show a relationship with base or peak flows, nor with number of escaped Chinook salmon adults during the previous year. We did not detect a negative influence of the relatively low abundance of progeny of escaped Chinook salmon on juvenile steelhead abundance. This low abundance of juvenile Chinook salmon was persistent throughout our study and is likely a result of hatchery management and habitat conditions. Should one or both change in the future, the potential for negative interactions with wild steelhead could change.","language":"English ","publisher":" Bonneville Power Administration","publisherLocation":"Portland, OR","usgsCitation":"Jezorek, I., and Connolly, P., 2010, Wild Steelhead and introduced spring Chinook Salmon in the Wind River, Washington: Overlapping populations and interactions, 46 p. .","productDescription":"46 p. ","ipdsId":"IP-018867","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Wind River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.8002700805664,\n              45.71744665139343\n            ],\n            [\n              -121.86721801757812,\n              45.764169971705535\n            ],\n            [\n              -121.92523956298828,\n              45.8149222464981\n            ],\n            [\n              -121.97742462158202,\n              45.86108578375662\n            ],\n            [\n              -121.98223114013673,\n              45.87542933874845\n            ],\n            [\n              -121.98274612426756,\n              45.883914199299284\n            ],\n            [\n              -121.97433471679689,\n              45.88283872530761\n            ],\n            [\n              -121.95837020874022,\n              45.8633570932563\n            ],\n            [\n              -121.9291877746582,\n              45.836932440121316\n            ],\n            [\n              -121.89640045166016,\n              45.812768608069824\n            ],\n            [\n              -121.86584472656251,\n              45.78859428734741\n            ],\n            [\n              -121.84043884277344,\n              45.766085990923074\n            ],\n            [\n              -121.81022644042969,\n              45.759140108157524\n            ],\n            [\n              -121.79237365722656,\n              45.73494252455993\n            ],\n            [\n              -121.7831039428711,\n              45.72511674980165\n            ],\n            [\n              -121.78688049316405,\n              45.71049471518719\n            ],\n            [\n              -121.80095672607422,\n              45.71480981187499\n            ],\n            [\n              -121.8002700805664,\n              45.71744665139343\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58638bd6e4b0cd2dabe7bec2","contributors":{"authors":[{"text":"Jezorek, I.G.","contributorId":80913,"corporation":false,"usgs":true,"family":"Jezorek","given":"I.G.","affiliations":[],"preferred":false,"id":656658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, P.J.","contributorId":70141,"corporation":false,"usgs":true,"family":"Connolly","given":"P.J.","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":656659,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179292,"text":"70179292 - 2010 - Effectiveness of a redesigned water diversion using rock vortex weirs to enhance longitudinal connectivity for small Salmonids","interactions":[],"lastModifiedDate":"2016-12-27T14:06:00","indexId":"70179292","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Effectiveness of a redesigned water diversion using rock vortex weirs to enhance longitudinal connectivity for small Salmonids","docAbstract":"<p><span>For nearly 100 years, water diversions have affected fish passage in Beaver Creek, a tributary of the lower Methow River in north-central Washington State. From 2000 to 2004, four dam-style water diversions were replaced with a series of rock vortex weirs (RVWs). The weirs were designed to allow fish passage while maintaining the ability to divert water into irrigation canals. We observed the new appearance of three species (juvenile Chinook salmon </span><i>Oncorhynchus tshawytscha</i><span>, juvenile coho salmon </span><i>O. kisutch</i><span>, and mountain whitefish </span><i>Prosopium williamsoni</i><span>) upstream of the RVWs, indicating successful restoration of longitudinal connectivity. We used passive integrated transponder (PIT) tags and instream PIT tag interrogation systems during 2004–2007 to evaluate upstream passage of small salmonids (&lt;240 mm fork length) through one series of RVWs. We documented 109 upstream passage events by small salmonids through the series of RVWs; most of the events (81%) involved passage of rainbow trout </span><i>O. mykiss</i><span> or juvenile steelhead (anadromous rainbow trout). Small rainbow trout or steelhead ranging from 86 to 238 mm (adjusted fork length) were able to pass upstream through the RVWs, although a delay in fish passage at discharges below 0.32 m</span><sup>3</sup><span>/s was detected in comparison with nearby control sections.</span></p>","language":"English","publisher":"Taylor & Francis ","doi":"10.1577/M10-025.1","usgsCitation":"Martens, K.D., and Connolly, P., 2010, Effectiveness of a redesigned water diversion using rock vortex weirs to enhance longitudinal connectivity for small Salmonids: North American Journal of Fisheries Management, p. 1544-1552 , https://doi.org/10.1577/M10-025.1.","productDescription":"9 p. ","startPage":"1544","endPage":"1552 ","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":475946,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1577/m10-025.1","text":"Publisher Index Page"},{"id":332562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Beaver Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.42938232421874,\n              48.27953734226008\n            ],\n            [\n              -120.42938232421874,\n              48.7000249460914\n            ],\n            [\n              -119.92675781249999,\n              48.7000249460914\n            ],\n            [\n              -119.92675781249999,\n              48.27953734226008\n            ],\n            [\n              -120.42938232421874,\n              48.27953734226008\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2010-12-01","publicationStatus":"PW","scienceBaseUri":"58638bd5e4b0cd2dabe7beba","contributors":{"authors":[{"text":"Martens, Kyle D.","contributorId":12740,"corporation":false,"usgs":true,"family":"Martens","given":"Kyle","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":656670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656671,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034610,"text":"70034610 - 2010 - On the composition of earth's short-period seismic noise field","interactions":[],"lastModifiedDate":"2012-03-12T17:21:40","indexId":"70034610","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"On the composition of earth's short-period seismic noise field","docAbstract":"In the classic microseismic band of 5-20 sec, seismic noise consists mainly of fundamental mode Rayleigh and Love waves; however, at shorter periods seismic noise also contains a significant amount of body-wave energy and higher mode surface waves. In this study we perform a global survey of Earth's short-period seismic noise field with the goal of quantifying the relative contributions of these propagation modes. We examined a year's worth of vertical component data from 18 seismic arrays of the International Monitoring System that were sited in a variety of geologic environments. The apertures of the arrays varied from 2 to 28 km, constraining the periods we analyzed to 0.25-2.5 sec. Using frequency-wavenumber analysis we identified the apparent velocity for each sample of noise and classified its mode of propagation. The dominant component was found to be L<sub>g</sub>, occurring in about 50% of the noise windows. Because L<sub>g</sub> does not propagate across ocean-continent boundaries, this energy is most likely created in shallow water areas near coastlines. The next most common component was P-wave energy, which accounted for about 28% of the noise windows. These were split between regional P waves (P<sub>n</sub>=P<sub>g</sub> at 6%), mantle bottoming P waves (14%), and core-sensitive waves (PKP at 8%). This energy is mostly generated in deep water away from coastlines, with a region of the North Pacific centered at 165?? W and 40?? N being especially prolific. The remainder of the energy arriving in the noise consisted of R<sub>g</sub> waves (28%), a large fraction of which may have a cultural origin. Hence, in contrast to the classic micro-seismic band of 5-20 sec, at shorter periods fundamental mode Rayleigh waves are the least significant component.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120090120","issn":"00371106","usgsCitation":"Koper, K., Seats, K., and Benz, H., 2010, On the composition of earth's short-period seismic noise field: Bulletin of the Seismological Society of America, v. 100, no. 2, p. 606-617, https://doi.org/10.1785/0120090120.","startPage":"606","endPage":"617","numberOfPages":"12","costCenters":[],"links":[{"id":215862,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090120"},{"id":243694,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-03-15","publicationStatus":"PW","scienceBaseUri":"505a6dbfe4b0c8380cd752e0","contributors":{"authors":[{"text":"Koper, K.D.","contributorId":69798,"corporation":false,"usgs":true,"family":"Koper","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":446653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seats, K.","contributorId":70258,"corporation":false,"usgs":true,"family":"Seats","given":"K.","affiliations":[],"preferred":false,"id":446654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benz, H.","contributorId":61953,"corporation":false,"usgs":true,"family":"Benz","given":"H.","email":"","affiliations":[],"preferred":false,"id":446652,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036540,"text":"70036540 - 2010 - Sensitivity of early life stages of freshwater mussels (Unionidae) to acute and chronic toxicity of lead, cadmium, and zinc in water","interactions":[],"lastModifiedDate":"2018-10-20T10:04:56","indexId":"70036540","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity of early life stages of freshwater mussels (Unionidae) to acute and chronic toxicity of lead, cadmium, and zinc in water","docAbstract":"<p><span>Toxicity of lead, cadmium, or zinc to early life stages of freshwater mussels (fatmucket,&nbsp;</span><i>Lampsilis siliquoidea</i><span>; Neosho mucket,&nbsp;</span><i>L. rafinesqueana</i><span>) was evaluated in 48‐h exposures with mussel larvae (glochidia), in 96‐h exposures with newly transformed (5‐d‐old) and two‐ or six‐month‐old juvenile mussels, or in 28‐d exposures with two‐ or four‐month‐old mussels in reconstituted soft water. The 24‐h median effect concentrations (EC50s) for fatmucket glochidia (&gt;299 µg Pb/L, &gt;227 µg Cd/L, 2,685 µg Zn/L) and 96‐h EC50s for two‐ or six‐month‐old fatmucket (&gt;426 µg Pb/L, 199 µg Cd/L, 1,700 µg Zn/L) were much higher than 96‐h EC50s for newly transformed fatmucket (142 and 298 µg Pb/L, 16 µg Cd/L, 151 and 175 µg Zn/L) and Neosho mucket (188 µg Pb/L, 20 µg Cd/L, 145 µg Zn/L). Chronic values for fatmucket were 10 µg Pb/L, 6.0 µg Cd/L, and 63 and 68 µg Zn/L. When mussel data from the present study and the literature were included in updated databases for deriving U.S. Environmental Protection Agency water quality criteria, mussel genus mean acute values were in the lower percentiles of the sensitivity distribution of all freshwater species for Pb (the 26th percentile), Cd (the 15th to 29th percentile), or Zn (the 12th to 21st percentile). The mussel (</span><i>Lampsilis</i><span>) genus mean chronic value was the lowest value ever reported for Pb (the 9th percentile) but was near the middle of the sensitivity distribution for Cd (the 61st percentile) or Zn (the 44th percentile). These results indicate that mussels were relatively sensitive to the acute toxicity of these three metals and to the chronic toxicity of Pb, but were moderately sensitive to the chronic toxicity of Cd or Zn compared to other freshwater species.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/etc.250","issn":"07307268","usgsCitation":"Wang, N., Ingersoll, C.G., Ivey, C.D., Hardesty, D., May, T.W., Augspurger, T., Roberts, A., Van Genderen, E., and Barnhart, M., 2010, Sensitivity of early life stages of freshwater mussels (Unionidae) to acute and chronic toxicity of lead, cadmium, and zinc in water: Environmental Toxicology and Chemistry, v. 29, no. 9, p. 2053-2063, https://doi.org/10.1002/etc.250.","productDescription":"11 p.","startPage":"2053","endPage":"2063","numberOfPages":"11","costCenters":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":217496,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.250"},{"id":245447,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"9","noUsgsAuthors":false,"publicationDate":"2010-09-01","publicationStatus":"PW","scienceBaseUri":"505b8d2de4b08c986b3182b5","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":456618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":456616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":456614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardesty, Douglas K. dhardesty@usgs.gov","contributorId":3281,"corporation":false,"usgs":true,"family":"Hardesty","given":"Douglas K.","email":"dhardesty@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":456615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":456617,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Augspurger, T.","contributorId":81844,"corporation":false,"usgs":false,"family":"Augspurger","given":"T.","email":"","affiliations":[],"preferred":false,"id":456619,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roberts, A.D.","contributorId":87757,"corporation":false,"usgs":true,"family":"Roberts","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":456620,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Van Genderen, E.","contributorId":17075,"corporation":false,"usgs":true,"family":"Van Genderen","given":"E.","affiliations":[],"preferred":false,"id":456613,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barnhart, M.C.","contributorId":107410,"corporation":false,"usgs":true,"family":"Barnhart","given":"M.C.","affiliations":[],"preferred":false,"id":456621,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70034607,"text":"70034607 - 2010 - Polycyclic aromatic hydrocarbons in soil of the Canadian River floodplain in Oklahoma","interactions":[],"lastModifiedDate":"2018-10-09T11:42:04","indexId":"70034607","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Polycyclic aromatic hydrocarbons in soil of the Canadian River floodplain in Oklahoma","docAbstract":"<p><span>The accumulation of polycyclic aromatic hydrocarbons (PAH) in soil, plants, and water may impart negative effects on ecosystem and human health. We quantified the concentration and distribution of 41 PAH (n = 32), organic C, total N, and S (n = 140) and investigated PAH sources using a chronosequence of floodplain soils under a natural vegetation succession. Soil samples were collected between 0- and 260-cm depth in bare land (the control), wetland, forest, and grassland areas near a closed municipal landfill and an active asphalt plant (the contaminant sources) in the north bank of the Canadian River near Norman, OK. Principal component, cluster, and correlation analyses were used to investigate the spatial distribution of PAH, in combination with diagnostic ratios to distinguish pyrogenic vs. petrogenic PAH suites. Total PAH concentration (SigmaPAH) had a mean of 1300 ng g(-1), minimum of 16 ng g(-1), and maximum of 12,000 ng g(-1). At 0- to 20-cm depth, SigmaPAH was 3500 +/- 1600 ng g(-1) (mean +/- 1 SE) near the contaminant sources. The most common compounds were nonalkylated, high molecular weight PAH of pyrogenic origin, i.e., fluoranthene (17%), pyrene (14%), phenanthrene (9%), benzo(b)fluoranthene (7%), chrysene (6%), and benzo(a)anthracene (5%). SigmaPAH in the control (130 +/- 23 ng g(-1)) was comparable to reported concentrations for the rural Great Plains. Perylene had a unique distribution pattern suggesting biological inputs. The main PAH contamination mechanisms were likely atmospheric deposition due to asphalt production at the 0- to 20-cm depth and past landfill operations at deeper depths.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2134/jeq2009.0270","issn":"00472425","usgsCitation":"Sartori, F., Wade, T., Sericano, J., Mohanty, B., and Smith, K.A., 2010, Polycyclic aromatic hydrocarbons in soil of the Canadian River floodplain in Oklahoma: Journal of Environmental Quality, v. 39, no. 2, p. 568-579, https://doi.org/10.2134/jeq2009.0270.","productDescription":"12 p.","startPage":"568","endPage":"579","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":243661,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215833,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2009.0270"}],"volume":"39","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7cfee4b0c8380cd79cbb","contributors":{"authors":[{"text":"Sartori, F.","contributorId":19803,"corporation":false,"usgs":true,"family":"Sartori","given":"F.","email":"","affiliations":[],"preferred":false,"id":446630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wade, T.L.","contributorId":59198,"corporation":false,"usgs":true,"family":"Wade","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":446632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sericano, J.L.","contributorId":12661,"corporation":false,"usgs":true,"family":"Sericano","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":446629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mohanty, B.P.","contributorId":20162,"corporation":false,"usgs":true,"family":"Mohanty","given":"B.P.","email":"","affiliations":[],"preferred":false,"id":446631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Karen A.","contributorId":77477,"corporation":false,"usgs":true,"family":"Smith","given":"Karen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":446633,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034141,"text":"70034141 - 2010 - Budget analysis of Escherichia coli at a southern Lake Michigan Beach","interactions":[],"lastModifiedDate":"2012-12-28T14:57:34","indexId":"70034141","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Budget analysis of Escherichia coli at a southern Lake Michigan Beach","docAbstract":"<i>Escherichia coli</i> (EC) concentrations at two beaches impacted by river plume dynamics in southern Lake Michigan were analyzed using three-dimensional hydrodynamic and transport models. The relative importance of various physical and biological processes influencing the fate and transport of EC were examined via budget analysis and a first-order sensitivity analysis of model parameters. The along-shore advective fluxofEC(CFU/m<sup>2</sup>·s)was found to be higher compared to its crossshore counterpart; however, the sum of diffusive and advective components was of a comparable magnitude in both directions showing the importance of cross-shore exchange in EC transport. Examination of individual terms in the EC mass balance equation showed that vertical turbulent mixing in the water column dominated the overall EC transport for the summer conditions simulated. Dilution due to advection and diffusion accounted for a large portion of the total EC budget in the nearshore, and the net EC loss rate within the water column (CFU/m<sup>3</sup>·s) was an order of magnitude smaller compared to the horizontal and vertical transport rates. This result has important implications for modeling EC at recreational beaches; however, the assessment of the magnitude of EC loss rate is complicated due to the strong coupling between vertical exchange and depth-dependent EC loss processes such as sunlight inactivation and settling. Sensitivity analysis indicated that solar inactivation has the greatest impact on EC loss rates. Although these results are site-specific, they clearly bring out the relative importance of various processes involved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications (American Chemical Society)","publisherLocation":"Washington, D.C.","doi":"10.1021/es902232a","issn":"0013936X","usgsCitation":"Thupaki, P., Phanikumar, M., Beletsky, D., Schwab, D., Nevers, M., and Whitman, R., 2010, Budget analysis of Escherichia coli at a southern Lake Michigan Beach: Environmental Science & Technology, v. 44, no. 3, p. 1010-1016, https://doi.org/10.1021/es902232a.","productDescription":"7 p.","startPage":"1010","endPage":"1016","costCenters":[{"id":356,"text":"Lake Michigan Ecological Research Station","active":false,"usgs":true}],"links":[{"id":244454,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216576,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es902232a"}],"country":"United States","volume":"44","issue":"3","noUsgsAuthors":false,"publicationDate":"2009-12-31","publicationStatus":"PW","scienceBaseUri":"5059f2a2e4b0c8380cd4b276","contributors":{"authors":[{"text":"Thupaki, P.","contributorId":14222,"corporation":false,"usgs":true,"family":"Thupaki","given":"P.","email":"","affiliations":[],"preferred":false,"id":444291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phanikumar, M.S.","contributorId":83328,"corporation":false,"usgs":true,"family":"Phanikumar","given":"M.S.","affiliations":[],"preferred":false,"id":444294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beletsky, D.","contributorId":89376,"corporation":false,"usgs":true,"family":"Beletsky","given":"D.","affiliations":[],"preferred":false,"id":444295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwab, D.J.","contributorId":23730,"corporation":false,"usgs":true,"family":"Schwab","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":444292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nevers, M.B.","contributorId":13787,"corporation":false,"usgs":true,"family":"Nevers","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":444290,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whitman, R.L.","contributorId":69750,"corporation":false,"usgs":true,"family":"Whitman","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":444293,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036367,"text":"70036367 - 2010 - Recruitment of burbot (Lota lota L.) in Lake Erie: An empirical modelling approach","interactions":[],"lastModifiedDate":"2012-03-12T17:22:02","indexId":"70036367","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Recruitment of burbot (Lota lota L.) in Lake Erie: An empirical modelling approach","docAbstract":"World-wide, many burbot Lota lota (L.) populations have been extirpated or are otherwise in need of conservation measures. By contrast, burbot made a dramatic recovery in Lake Erie during 1993-2001 but declined during 2002-2007, due in part to a sharp decrease in recruitment. We used Akaike's Information Criterion to evaluate 129 linear regression models that included all combinations of one to seven ecological indices as predictors of burbot recruitment. Two models were substantially supported by the data: (i) the number of days in which water temperatures were within optimal ranges for burbot spawning and development combined with biomass of yearling and older (YAO) yellow perch Perca flavescens (Mitchill); and (ii) biomass of YAO yellow perch. Warmer winter water temperatures and increases in yellow perch biomass were associated with decreases in burbot recruitment. Continued warm winter water temperatures could result in declines in burbot recruitment, particularly in the southern part of the species' range. Published 2010. This article is a US Government work and is in the public domain in the USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology of Freshwater Fish","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1600-0633.2010.00414.x","issn":"09066691","usgsCitation":"Stapanian, M., Witzel, L., and Cook, A., 2010, Recruitment of burbot (Lota lota L.) in Lake Erie: An empirical modelling approach: Ecology of Freshwater Fish, v. 19, no. 3, p. 326-337, https://doi.org/10.1111/j.1600-0633.2010.00414.x.","startPage":"326","endPage":"337","numberOfPages":"12","costCenters":[],"links":[{"id":218526,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1600-0633.2010.00414.x"},{"id":246546,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-08-15","publicationStatus":"PW","scienceBaseUri":"50e4a355e4b0e8fec6cdb828","contributors":{"authors":[{"text":"Stapanian, M.A.","contributorId":65437,"corporation":false,"usgs":true,"family":"Stapanian","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":455754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Witzel, L.D.","contributorId":70324,"corporation":false,"usgs":true,"family":"Witzel","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":455755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, A.","contributorId":88174,"corporation":false,"usgs":true,"family":"Cook","given":"A.","affiliations":[],"preferred":false,"id":455756,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034042,"text":"70034042 - 2010 - Calculation of weighted averages approach for the estimation of ping tolerance values","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70034042","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1229,"text":"Chiang Mai Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Calculation of weighted averages approach for the estimation of ping tolerance values","docAbstract":"A biotic index was created and proposed as a tool to assess water quality in the Upper Mae Ping sub-watersheds. The Ping biotic index was calculated by utilizing Ping tolerance values. This paper presents the calculation of Ping tolerance values of the collected macroinvertebrates. Ping tolerance values were estimated by a weighted averages approach based on the abundance of macroinvertebrates and six chemical constituents that include conductivity, dissolved oxygen, biochemical oxygen demand, ammonia nitrogen, nitrate nitrogen and orthophosphate. Ping tolerance values range from 0 to 10. Macroinvertebrates assigned a 0 are very sensitive to organic pollution while macroinvertebrates assigned 10 are highly tolerant to pollution.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chiang Mai Journal of Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"01252526","usgsCitation":"Silalom, S., Carter, J., and Chantaramongkol, P., 2010, Calculation of weighted averages approach for the estimation of ping tolerance values: Chiang Mai Journal of Science, v. 37, no. 1, p. 151-159.","startPage":"151","endPage":"159","numberOfPages":"9","costCenters":[],"links":[{"id":244862,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f306e4b0c8380cd4b568","contributors":{"authors":[{"text":"Silalom, S.","contributorId":31235,"corporation":false,"usgs":true,"family":"Silalom","given":"S.","email":"","affiliations":[],"preferred":false,"id":443781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, J.L.","contributorId":26030,"corporation":false,"usgs":true,"family":"Carter","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":443780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chantaramongkol, P.","contributorId":78176,"corporation":false,"usgs":true,"family":"Chantaramongkol","given":"P.","email":"","affiliations":[],"preferred":false,"id":443782,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034159,"text":"70034159 - 2010 - Conceptual hierarchical modeling to describe wetland plant community organization","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034159","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Conceptual hierarchical modeling to describe wetland plant community organization","docAbstract":"Using multivariate analysis, we created a hierarchical modeling process that describes how differently-scaled environmental factors interact to affect wetland-scale plant community organization in a system of small, isolated wetlands on Mount Desert Island, Maine. We followed the procedure: 1) delineate wetland groups using cluster analysis, 2) identify differently scaled environmental gradients using non-metric multidimensional scaling, 3) order gradient hierarchical levels according to spatiotem-poral scale of fluctuation, and 4) assemble hierarchical model using group relationships with ordination axes and post-hoc tests of environmental differences. Using this process, we determined 1) large wetland size and poor surface water chemistry led to the development of shrub fen wetland vegetation, 2) Sphagnum and water chemistry differences affected fen vs. marsh / sedge meadows status within small wetlands, and 3) small-scale hydrologic differences explained transitions between forested vs. non-forested and marsh vs. sedge meadow vegetation. This hierarchical modeling process can help explain how upper level contextual processes constrain biotic community response to lower-level environmental changes. It creates models with more nuanced spatiotemporal complexity than classification and regression tree procedures. Using this process, wetland scientists will be able to generate more generalizable theories of plant community organization, and useful management models. ?? Society of Wetland Scientists 2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s13157-009-0010-5","issn":"02775212","usgsCitation":"Little, A., Guntenspergen, G., and Allen, T.F., 2010, Conceptual hierarchical modeling to describe wetland plant community organization: Wetlands, v. 30, no. 1, p. 55-65, https://doi.org/10.1007/s13157-009-0010-5.","startPage":"55","endPage":"65","numberOfPages":"11","costCenters":[],"links":[{"id":216785,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-009-0010-5"},{"id":244677,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-12-09","publicationStatus":"PW","scienceBaseUri":"5059f9a7e4b0c8380cd4d6f2","contributors":{"authors":[{"text":"Little, A.M.","contributorId":8349,"corporation":false,"usgs":true,"family":"Little","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":444366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guntenspergen, G.R. 0000-0002-8593-0244","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":95424,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"G.R.","affiliations":[],"preferred":false,"id":444368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, T. F. H.","contributorId":65342,"corporation":false,"usgs":false,"family":"Allen","given":"T.","email":"","middleInitial":"F. H.","affiliations":[],"preferred":false,"id":444367,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033951,"text":"70033951 - 2010 - Spatial variability of steady-state infiltration into a two-layer soil system on burned hillslopes","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70033951","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial variability of steady-state infiltration into a two-layer soil system on burned hillslopes","docAbstract":"Rainfall-runoff simulations were conducted to estimate the characteristics of the steady-state infiltration rate into 1-m<sup>2</sup> north- and south-facing hillslope plots burned by a wildfire in October 2003. Soil profiles in the plots consisted of a two-layer system composed of an ash on top of sandy mineral soil. Multiple rainfall rates (18.4-51.2 mm h<sup>-1</sup>) were used during 14 short-duration (30 min) and 2 long-duration simulations (2-4 h). Steady state was reached in 7-26 min. Observed spatially-averaged steady-state infiltration rates ranged from 18.2 to 23.8 mm h<sup>-1</sup> for north-facing and from 17.9 to 36.0 mm h<sup>-1</sup> for south-facing plots. Three different theoretical spatial distribution models of steady-state infiltration rate were fit to the measurements of rainfall rate and steady-state discharge to provided estimates of the spatial average (19.2-22.2 mm h<sup>-1</sup>) and the coefficient of variation (0.11-0.40) of infiltration rates, overland flow contributing area (74-90% of the plot area), and infiltration threshold (19.0-26 mm h<sup>-1</sup>). Tensiometer measurements indicated a downward moving pressure wave and suggest that infiltration-excess overland flow is the runoff process on these burned hillslope with a two-layer system. Moreover, the results indicate that the ash layer is wettable, may restrict water flow into the underlying layer, and increase the infiltration threshold; whereas, the underlying mineral soil, though coarser, limits the infiltration rate. These results of the spatial variability of steady-state infiltration can be used to develop physically-based rainfall-runoff models for burned areas with a two-layer soil system. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2009.12.004","issn":"00221694","usgsCitation":"Kinner, D., and Moody, J.A., 2010, Spatial variability of steady-state infiltration into a two-layer soil system on burned hillslopes: Journal of Hydrology, v. 381, no. 3-4, p. 322-332, https://doi.org/10.1016/j.jhydrol.2009.12.004.","startPage":"322","endPage":"332","numberOfPages":"11","costCenters":[],"links":[{"id":241815,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214122,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2009.12.004"}],"volume":"381","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b94b5e4b08c986b31abff","contributors":{"authors":[{"text":"Kinner, D.A.","contributorId":99265,"corporation":false,"usgs":true,"family":"Kinner","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":443353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moody, J. A.","contributorId":32930,"corporation":false,"usgs":true,"family":"Moody","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":443352,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036420,"text":"70036420 - 2010 - Uses and biases of volunteer water quality data","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70036420","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Uses and biases of volunteer water quality data","docAbstract":"State water quality monitoring has been augmented by volunteer monitoring programs throughout the United States. Although a significant effort has been put forth by volunteers, questions remain as to whether volunteer data are accurate and can be used by regulators. In this study, typical volunteer water quality measurements from laboratory and environmental samples in Iowa were analyzed for error and bias. Volunteer measurements of nitrate+nitrite were significantly lower (about 2-fold) than concentrations determined via standard methods in both laboratory-prepared and environmental samples. Total reactive phosphorus concentrations analyzed by volunteers were similar to measurements determined via standard methods in laboratory-prepared samples and environmental samples, but were statistically lower than the actual concentration in four of the five laboratory-prepared samples. Volunteer water quality measurements were successful in identifying and classifying most of the waters which violate United States Environmental Protection Agency recommended water quality criteria for total nitrogen (66%) and for total phosphorus (52%) with the accuracy improving when accounting for error and biases in the volunteer data. An understanding of the error and bias in volunteer water quality measurements can allow regulators to incorporate volunteer water quality data into total maximum daily load planning or state water quality reporting. ?? 2010 American Chemical Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/es100164c","issn":"0013936X","usgsCitation":"Loperfido, J., Beyer, P., Just, C., and Schnoor, J., 2010, Uses and biases of volunteer water quality data: Environmental Science & Technology, v. 44, no. 19, p. 7193-7199, https://doi.org/10.1021/es100164c.","startPage":"7193","endPage":"7199","numberOfPages":"7","costCenters":[],"links":[{"id":218349,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es100164c"},{"id":246349,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"19","noUsgsAuthors":false,"publicationDate":"2010-06-11","publicationStatus":"PW","scienceBaseUri":"505bc003e4b08c986b329e9a","contributors":{"authors":[{"text":"Loperfido, J.V.","contributorId":90970,"corporation":false,"usgs":true,"family":"Loperfido","given":"J.V.","email":"","affiliations":[],"preferred":false,"id":456055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beyer, P.","contributorId":71815,"corporation":false,"usgs":true,"family":"Beyer","given":"P.","email":"","affiliations":[],"preferred":false,"id":456054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Just, C.L.","contributorId":94899,"corporation":false,"usgs":true,"family":"Just","given":"C.L.","email":"","affiliations":[],"preferred":false,"id":456057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schnoor, J. L.","contributorId":92095,"corporation":false,"usgs":true,"family":"Schnoor","given":"J. L.","affiliations":[],"preferred":false,"id":456056,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033833,"text":"70033833 - 2010 - Effects of altered groundwater chemistry upon the pH-dependency and magnitude of bacterial attachment during transport within an organically contaminated sandy aquifer","interactions":[],"lastModifiedDate":"2018-10-11T10:29:52","indexId":"70033833","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Effects of altered groundwater chemistry upon the pH-dependency and magnitude of bacterial attachment during transport within an organically contaminated sandy aquifer","docAbstract":"<p><span>The effects of a dilute (ionic strength</span><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>5</span><span>&nbsp;</span><span>×</span><span>&nbsp;</span><span>10</span><sup>−3</sup><span>&nbsp;</span><span>M) plume of treated sewage, with elevated levels (3.9</span><span>&nbsp;</span><span>mg/L) of dissolved organic carbon (DOC), upon the pH-dependency and magnitude of bacterial transport through an iron-laden, quartz sand aquifer (Cape Cod, MA) were evaluated using sets of replicate, static minicolumns. Compared with uncontaminated groundwater, the plume chemistry diminished bacterial attachment under mildly acidic (pH 5.0–6.5) in-situ conditions, in spite of the 5-fold increase in ionic strength and substantively enhanced attachment under more alkaline conditions. The effects of the hydrophobic neutral and total fractions of the plume DOC; modest concentrations of fulvic and humic acids (1.5</span><span>&nbsp;</span><span>mg/L); linear alkyl benzene sulfonate (LAS) (25</span><span>&nbsp;</span><span>mg/L); Imbentin (200</span><span>&nbsp;</span><span>μg/L), a model nonionic surfactant; sulfate (28</span><span>&nbsp;</span><span>mg/L); and calcium (20</span><span>&nbsp;</span><span>mg/L) varied sharply in response to relatively small changes in pH, although the plume constituents collectively decreased the pH-dependency of bacterial attachment. LAS and other hydrophobic neutrals (collectively representing only ∼3% of the plume DOC) had a disproportionately large effect upon bacterial attachment, as did the elevated concentrations of sulfate within the plume. The findings further suggest that the roles of organic plume constituents in transport or bacteria through acidic aquifer sediments can be very different than would be predicted from column studies performed at circumneutral pH and that the inorganic constituents within the plume cannot be ignored.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2009.09.008","issn":"00431354","usgsCitation":"Harvey, R.W., Metge, D.W., Barber, L.B., and Aiken, G.R., 2010, Effects of altered groundwater chemistry upon the pH-dependency and magnitude of bacterial attachment during transport within an organically contaminated sandy aquifer: Water Research, v. 44, no. 4, p. 1062-1071, https://doi.org/10.1016/j.watres.2009.09.008.","productDescription":"10 p.","startPage":"1062","endPage":"1071","numberOfPages":"10","ipdsId":"IP-014986","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":242071,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214351,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.watres.2009.09.008"}],"volume":"44","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0684e4b0c8380cd512a0","contributors":{"authors":[{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Metge, David W. dwmetge@usgs.gov","contributorId":663,"corporation":false,"usgs":true,"family":"Metge","given":"David","email":"dwmetge@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":703769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703770,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036129,"text":"70036129 - 2010 - Implementing the National Integrated Ocean Observing System (IOOS): from the federal agency perspective","interactions":[],"lastModifiedDate":"2015-03-23T14:58:06","indexId":"70036129","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2678,"text":"Marine Technology Society Journal","active":true,"publicationSubtype":{"id":10}},"title":"Implementing the National Integrated Ocean Observing System (IOOS): from the federal agency perspective","docAbstract":"The national Integrated Ocean Observing System (IOOS??) is responsible for coordinating a network of people, resources, and technology to disseminate continuous data, information, models, products, and services made throughout our coastal waters, Great Lakes, and the oceans. There are many components of the IOOS-including government, academic, and private entities. This article will focus on some of the federal contributions to IOOS and describe the capabilities of several agency partners.","language":"English","issn":"00253324","usgsCitation":"Bassett, R., Beard, R., Burnett, W., Crout, R., Griffith, B., Jensen, R., and Signell, R., 2010, Implementing the National Integrated Ocean Observing System (IOOS): from the federal agency perspective: Marine Technology Society Journal, v. 44, no. 6, p. 32-41.","productDescription":"10 p.","startPage":"32","endPage":"41","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":246204,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3915e4b0c8380cd617c7","contributors":{"authors":[{"text":"Bassett, R.","contributorId":33955,"corporation":false,"usgs":true,"family":"Bassett","given":"R.","affiliations":[],"preferred":false,"id":454366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, R.","contributorId":35996,"corporation":false,"usgs":true,"family":"Beard","given":"R.","email":"","affiliations":[],"preferred":false,"id":454367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burnett, W.","contributorId":108353,"corporation":false,"usgs":true,"family":"Burnett","given":"W.","affiliations":[],"preferred":false,"id":454371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crout, R.","contributorId":80129,"corporation":false,"usgs":true,"family":"Crout","given":"R.","email":"","affiliations":[],"preferred":false,"id":454370,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffith, B.","contributorId":25905,"corporation":false,"usgs":true,"family":"Griffith","given":"B.","email":"","affiliations":[],"preferred":false,"id":454365,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jensen, R.","contributorId":58877,"corporation":false,"usgs":true,"family":"Jensen","given":"R.","affiliations":[],"preferred":false,"id":454368,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Signell, R.","contributorId":76052,"corporation":false,"usgs":true,"family":"Signell","given":"R.","affiliations":[],"preferred":false,"id":454369,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70034328,"text":"70034328 - 2010 - Comparison of aquifer characterization approaches through steady state groundwater model validation: A controlled laboratory sandbox study","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034328","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of aquifer characterization approaches through steady state groundwater model validation: A controlled laboratory sandbox study","docAbstract":"Groundwater modeling has become a vital component to water supply and contaminant transport investigations. An important component of groundwater modeling under steady state conditions is selecting a representative hydraulic conductivity (K) estimate or set of estimates which defines the K field of the studied region. Currently, there are a number of characterization approaches to obtain K at various scales and in varying degrees of detail, but there is a paucity of information in terms of which characterization approach best predicts flow through aquifers or drawdowns caused by some drawdown inducing events. The main objective of this paper is to assess K estimates obtained by various approaches by predicting drawdowns from independent cross-hole pumping tests and total flow rates through a synthetic heterogeneous aquifer from flow-through tests. Specifically, we (1) characterize a synthetic heterogeneous aquifer built in the sandbox through various techniques (permeameter analyses of core samples, single-hole, cross-hole, and flow-through testing), (2) obtain mean K fields through traditional analysis of test data by treating the medium to be homogeneous, (3) obtain heterogeneous K fields through kriging and steady state hydraulic tomography, and (4) conduct forward simulations of 16 independent pumping tests and six flowthrough tests using these homogeneous and heterogeneous K fields and comparing them to actual data. Results show that the mean K and heterogeneous K fields estimated through kriging of small-scale K data (core and single-hole tests) yield biased predictions of drawdowns and flow rates in this synthetic heterogeneous aquifer. In contrast, the heterogeneous K distribution or ?K tomogram? estimated via steady state hydraulic tomography yields excellent predictions of drawdowns of pumping tests not used in the construction of the tomogram and very good estimates of total flow rates from the flowthrough tests. These results suggest that steady state groundwater model validation is possible in this laboratory sandbox aquifer if the heterogeneous K distribution and forcing functions (boundary conditions and source/sink terms) are characterized sufficiently. ?? 2010 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2009WR007745","issn":"00431397","usgsCitation":"Illman, W., Zhu, J., Craig, A., and Yin, D., 2010, Comparison of aquifer characterization approaches through steady state groundwater model validation: A controlled laboratory sandbox study: Water Resources Research, v. 46, no. 4, https://doi.org/10.1029/2009WR007745.","costCenters":[],"links":[{"id":475990,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009wr007745","text":"Publisher Index Page"},{"id":216852,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2009WR007745"},{"id":244748,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-04-03","publicationStatus":"PW","scienceBaseUri":"5059f850e4b0c8380cd4cffd","contributors":{"authors":[{"text":"Illman, W.A.","contributorId":53195,"corporation":false,"usgs":true,"family":"Illman","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":445258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, J.","contributorId":6289,"corporation":false,"usgs":true,"family":"Zhu","given":"J.","email":"","affiliations":[],"preferred":false,"id":445257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Craig, A.J.","contributorId":56477,"corporation":false,"usgs":true,"family":"Craig","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":445259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yin, D.","contributorId":90137,"corporation":false,"usgs":true,"family":"Yin","given":"D.","email":"","affiliations":[],"preferred":false,"id":445260,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037206,"text":"70037206 - 2010 - Timing and duration of garnet granulite metamorphism in magmatic arc crust, Fiordland, New Zealand","interactions":[],"lastModifiedDate":"2012-03-12T17:22:07","indexId":"70037206","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Timing and duration of garnet granulite metamorphism in magmatic arc crust, Fiordland, New Zealand","docAbstract":"Pembroke Granulite from Fiordland, New Zealand provides a window into the mid- to lower crust of magmatic arcs. Garnet Sm-Nd and zircon U-Pb ages constrain the timing and duration of high-P partial melting that produced trondhjemitic high Sr/Y magma. Trace element zoning in large, euhedral garnet is compatible with little post growth modification and supports the interpretation that garnet Sm-Nd ages of 126.1??2.0 and 122.6??2.0. Ma date crystal growth. Integration of the garnet ages with U-Pb zircon ages elucidates a history of intrusion(?) and a protracted period of high-temperature metamorphism and partial melting. The oldest zircon ages of 163 to 150. Ma reflect inheritance or intrusion and a cluster of zircon ages ca. 134. Ma date orthopyroxene-bearing mineral assemblages that may be magmatic or metamorphic in origin. Zircon and garnet ages from unmelted gneiss and garnet reaction zones record garnet granulite facies metamorphism at 128 to 126. Ma. Peritectic garnet and additional zircon ages from trondhjemite veins and garnet reaction zones indicate that garnet growth and partial melting lasted until ca. 123. Ma. Two single fraction garnet ages and young zircon ages suggest continued high-temperature re-equilibration until ca. 95. Ma. Phase diagram sections constrain orthopyroxene assemblages to <0.6 GPa @ 650??C, peak garnet granulite facies metamorphic conditions to 680-815??C @ 1.1-1.4. GPa, and a P-T path with a P increase of???0.5. GPa. These sections are compatible with water contents???0.28wt.%, local dehydration during garnet granulite metamorphism, and <0.3. GPa P increases during garnet growth. Results demonstrate the utility of integrated U-Pb zircon and Sm-Nd garnet ages, and phase diagram sections for understanding the nature, duration, and conditions of deep crustal metamorphism and melting. Geochronologic and thermobarometric data for garnet granulite indicate that thickening of arc crust, which caused high-pressure metamorphism in northern Fiordland, must have occurred prior to 126. Ma, that loading occurred at a rate of ca. 0.06. GPa/m.y., and that garnet granulite metamorphism lasted 3-7m.y. Locally-derived partial melts formed and crystallized in considerably less than 10 and perhaps as little as 3m.y. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.chemgeo.2010.02.015","issn":"00092541","usgsCitation":"Stowell, H., Tulloch, A., Zuluaga, C., and Koenig, A., 2010, Timing and duration of garnet granulite metamorphism in magmatic arc crust, Fiordland, New Zealand: Chemical Geology, v. 273, no. 1-2, p. 91-110, https://doi.org/10.1016/j.chemgeo.2010.02.015.","startPage":"91","endPage":"110","numberOfPages":"20","costCenters":[],"links":[{"id":244964,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217053,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2010.02.015"}],"volume":"273","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb3e4e4b08c986b326051","contributors":{"authors":[{"text":"Stowell, H.","contributorId":19409,"corporation":false,"usgs":true,"family":"Stowell","given":"H.","email":"","affiliations":[],"preferred":false,"id":459899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tulloch, A.","contributorId":10645,"corporation":false,"usgs":true,"family":"Tulloch","given":"A.","email":"","affiliations":[],"preferred":false,"id":459898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zuluaga, C.","contributorId":37177,"corporation":false,"usgs":true,"family":"Zuluaga","given":"C.","email":"","affiliations":[],"preferred":false,"id":459900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koenig, A. 0000-0002-5230-0924","orcid":"https://orcid.org/0000-0002-5230-0924","contributorId":64037,"corporation":false,"usgs":true,"family":"Koenig","given":"A.","affiliations":[],"preferred":false,"id":459901,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037057,"text":"70037057 - 2010 - Measurement and modeling of polychlorinated biphenyl bioaccumulation from sediment for the marine polychaete neanthes arenaceodentata and response to sorbent amendment","interactions":[],"lastModifiedDate":"2018-10-10T10:00:31","indexId":"70037057","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Measurement and modeling of polychlorinated biphenyl bioaccumulation from sediment for the marine polychaete neanthes arenaceodentata and response to sorbent amendment","docAbstract":"<p>Bioaccumulation rates of polychlorinated biphenyls (PCBs) for the marine polychaete Neanthes arenaceodentata were characterized, including PCB uptake rates from water and sediment, and the effect of sorbent amendment to the sediment on PCB bioavailability, organism growth, and lipid content. Physiological parameters were incorporated into a biodynamic model to predict contaminant uptake. The results indicate rapid PCB uptake from contaminated sediment and significant organism growth dilution during time-series exposure studies. PCB uptake from the aqueous phase accounted for less than 3% of the total uptake for this deposit-feeder. Proportional increase of gut residence time and assimilation efficiency as a consequence of the organism's growth was assessed by PCB uptake and a reactor theory model of gut architecture. Pulse-chase feeding and multilabeled stable isotope tracing techniques proved high sediment ingestion rates (i.e., 6?10 times of dry body weight per day) indicating that such deposit-feeders are promising biological indicators for sediment risk assessment. Activated carbon amendment reduced PCB uptake by 95% in laboratory experiments with no observed adverse growth effects on the marine polychaete. Biodynamic modeling explained the observed PCB body burdens for N. arenaceodentata, with and without sorbent amendment.</p>","language":"English","publisher":"ACS","doi":"10.1021/es901632e","issn":"0013936X","usgsCitation":"Janssen, E., Croteau, M.N., Luoma, S., and Luthy, R., 2010, Measurement and modeling of polychlorinated biphenyl bioaccumulation from sediment for the marine polychaete neanthes arenaceodentata and response to sorbent amendment: Environmental Science & Technology, v. 44, no. 8, p. 2857-2863, https://doi.org/10.1021/es901632e.","productDescription":"7 p.","startPage":"2857","endPage":"2863","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":245080,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217159,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es901632e"}],"volume":"44","issue":"8","noUsgsAuthors":false,"publicationDate":"2009-09-01","publicationStatus":"PW","scienceBaseUri":"505a52ebe4b0c8380cd6c76b","contributors":{"authors":[{"text":"Janssen, E.M.-L.","contributorId":103121,"corporation":false,"usgs":true,"family":"Janssen","given":"E.M.-L.","email":"","affiliations":[],"preferred":false,"id":459181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":459179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luoma, S. N.","contributorId":86353,"corporation":false,"usgs":true,"family":"Luoma","given":"S. N.","affiliations":[],"preferred":false,"id":459180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luthy, R.G.","contributorId":36335,"corporation":false,"usgs":true,"family":"Luthy","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":459178,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035359,"text":"70035359 - 2010 - Evaluating the spatiotemporal variations of water budget across China over 1951-2006 using IBIS model","interactions":[],"lastModifiedDate":"2013-05-14T10:49:54","indexId":"70035359","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Evaluating the spatiotemporal variations of water budget across China over 1951-2006 using IBIS model","docAbstract":"The Integrated Biosphere Simulator is used to evaluate the spatial and temporal patterns of the crucial hydrological variables [run-off and actual evapotranspiration (AET)] of the water balance across China for the period 1951–2006 including a precipitation analysis. Results suggest three major findings. First, simulated run-off captured 85% of the spatial variability and 80% of the temporal variability for 85 hydrological gauges across China. The mean relative errors were within 20% for 66% of the studied stations and within 30% for 86% of the stations. The Nash–Sutcliffe coefficients indicated that the quantity pattern of run-off was also captured acceptably except for some watersheds in southwestern and northwestern China. The possible reasons for underestimation of run-off in the Tibetan plateau include underestimation of precipitation and uncertainties in other meteorological data due to complex topography, and simplified representations of the soil depth attribute and snow processes in the model. Second, simulated AET matched reasonably with estimated values calculated as the residual of precipitation and run-off for watersheds controlled by the hydrological gauges. Finally, trend analysis based on the Mann–Kendall method indicated that significant increasing and decreasing patterns in precipitation appeared in the northwest part of China and the Yellow River region, respectively. Significant increasing and decreasing trends in AET were detected in the Southwest region and the Yangtze River region, respectively. In addition, the Southwest region, northern China (including the Heilongjiang, Liaohe, and Haihe Basins), and the Yellow River Basin showed significant decreasing trends in run-off, and the Zhemin hydrological region showed a significant increasing trend.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/hyp.7496","issn":"08856087","usgsCitation":"Zhu, Q., Jiang, H., Liu, J., Wei, X., Peng, C., Fang, X., Liu, S., Zhou, G., Yu, S., and Ju, W., 2010, Evaluating the spatiotemporal variations of water budget across China over 1951-2006 using IBIS model: Hydrological Processes, v. 24, no. 4, p. 429-445, https://doi.org/10.1002/hyp.7496.","productDescription":"17 p.","startPage":"429","endPage":"445","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":242875,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215101,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.7496"}],"country":"China","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 73.5,18.2 ], [ 73.5,53.6 ], [ 134.8,53.6 ], [ 134.8,18.2 ], [ 73.5,18.2 ] ] ] } } ] }","volume":"24","issue":"4","noUsgsAuthors":false,"publicationDate":"2009-11-10","publicationStatus":"PW","scienceBaseUri":"505a0c00e4b0c8380cd529bf","contributors":{"authors":[{"text":"Zhu, Q.","contributorId":93711,"corporation":false,"usgs":true,"family":"Zhu","given":"Q.","email":"","affiliations":[],"preferred":false,"id":450325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, H.","contributorId":83731,"corporation":false,"usgs":true,"family":"Jiang","given":"H.","affiliations":[],"preferred":false,"id":450323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":450318,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wei, X.","contributorId":50636,"corporation":false,"usgs":true,"family":"Wei","given":"X.","email":"","affiliations":[],"preferred":false,"id":450321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peng, C.","contributorId":79314,"corporation":false,"usgs":true,"family":"Peng","given":"C.","email":"","affiliations":[],"preferred":false,"id":450322,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fang, X.","contributorId":32288,"corporation":false,"usgs":true,"family":"Fang","given":"X.","email":"","affiliations":[],"preferred":false,"id":450320,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":450324,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhou, G.","contributorId":12604,"corporation":false,"usgs":true,"family":"Zhou","given":"G.","email":"","affiliations":[],"preferred":false,"id":450317,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yu, S.","contributorId":25771,"corporation":false,"usgs":true,"family":"Yu","given":"S.","email":"","affiliations":[],"preferred":false,"id":450319,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ju, W.","contributorId":10627,"corporation":false,"usgs":true,"family":"Ju","given":"W.","email":"","affiliations":[],"preferred":false,"id":450316,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70037268,"text":"70037268 - 2010 - Migration of waterfowl in the east asian flyway and spatial relationship to HPAI H5N1 outbreaks","interactions":[],"lastModifiedDate":"2018-05-06T11:42:10","indexId":"70037268","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":948,"text":"Avian Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Migration of waterfowl in the east asian flyway and spatial relationship to HPAI H5N1 outbreaks","docAbstract":"<p>Poyang Lake is situated within the East Asian Flyway, a migratory corridor for waterfowl that also encompasses Guangdong Province, China, the epicenter of highly pathogenic avian influenza (HPAI) H5N1. The lake is the largest freshwater body in China and a significant congregation site for waterfowl; however, surrounding rice fields and poultry grazing have created an overlap with wild waterbirds, a situation conducive to avian influenza transmission. Reports of HPAI H5N1 in healthy wild ducks at Poyang Lake have raised concerns about the potential of resilient free-ranging birds to disseminate the virus. Yet the role wild ducks play in connecting regions of HPAI H5N1 outbreak in Asia is hindered by a lack of information about their migratory ecology. During 2007-08 we marked wild ducks at Poyang Lake with satellite transmitters to examine the location and timing of spring migration and identify any spatiotemporal relationship with HPAI H5N1 outbreaks. Species included the Eurasian wigeon (<i>Anas penelope</i>), northern pintail (<i>Anas acuta</i>), common teal (<i>Anas crecca</i>), falcated teal (<i>Anas falcata</i>), Baikal teal (<i>Anas formosa</i>), mallard (<i>Anas platyrhynchos</i>), garganey (<i>Anas querquedula</i>), and Chinese spotbill (<i>Anas poecilohyncha</i>). These wild ducks (excluding the resident mallard and Chinese spotbill ducks) followed the East Asian Flyway along the coast to breeding areas in northern China, eastern Mongolia, and eastern Russia. None migrated west toward Qinghai Lake (site of the largest wild bird epizootic), thus failing to demonstrate any migratory connection to the Central Asian Flyway. A newly developed Brownian bridge spatial analysis indicated that HPAI H5N1 outbreaks reported in the flyway were related to latitude and poultry density but not to the core migration corridor or to wetland habitats. Also, we found a temporal mismatch between timing of outbreaks and wild duck movements. These analyses depend on complete or representative reporting of outbreaks, but by documenting movements of wild waterfowl, we present ecological knowledge that better informs epidemiological investigations seeking to explain and predict the spread of avian influenza viruses. ?? 2010 American Association of Avian Pathologists.</p>","publisher":"American Association of Avian Pathologists","doi":"10.1637/8914-043009-Reg.1","issn":"00052086","usgsCitation":"Takekawa, J.Y., Newman, S.H., Xiao, X., Prosser, D., Spragens, K., Palm, E., Yan, B., Li, T., Lei, F., Zhao, D., Douglas, D., Muzaffar, S., and Ji, W., 2010, Migration of waterfowl in the east asian flyway and spatial relationship to HPAI H5N1 outbreaks: Avian Diseases, v. 54, no. S1, p. 466-476, https://doi.org/10.1637/8914-043009-Reg.1.","productDescription":"11 p.","startPage":"466","endPage":"476","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":475834,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4878034","text":"External Repository"},{"id":244967,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"S1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5711e4b0c8380cd6da25","contributors":{"authors":[{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":460185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newman, S. H.","contributorId":21888,"corporation":false,"usgs":false,"family":"Newman","given":"S.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":460179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xiao, X.","contributorId":82869,"corporation":false,"usgs":true,"family":"Xiao","given":"X.","email":"","affiliations":[],"preferred":false,"id":460187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prosser, D.J. 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":65185,"corporation":false,"usgs":true,"family":"Prosser","given":"D.J.","affiliations":[],"preferred":false,"id":460186,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spragens, K.A.","contributorId":38372,"corporation":false,"usgs":true,"family":"Spragens","given":"K.A.","affiliations":[],"preferred":false,"id":460181,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Palm, E.C.","contributorId":40708,"corporation":false,"usgs":true,"family":"Palm","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":460183,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yan, B.","contributorId":11739,"corporation":false,"usgs":true,"family":"Yan","given":"B.","email":"","affiliations":[],"preferred":false,"id":460177,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, T.","contributorId":84993,"corporation":false,"usgs":true,"family":"Li","given":"T.","email":"","affiliations":[],"preferred":false,"id":460188,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lei, F.","contributorId":85413,"corporation":false,"usgs":true,"family":"Lei","given":"F.","email":"","affiliations":[],"preferred":false,"id":460189,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhao, D.","contributorId":28834,"corporation":false,"usgs":true,"family":"Zhao","given":"D.","email":"","affiliations":[],"preferred":false,"id":460180,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":460178,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Muzaffar, S.B.","contributorId":55561,"corporation":false,"usgs":true,"family":"Muzaffar","given":"S.B.","affiliations":[],"preferred":false,"id":460184,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ji, W.","contributorId":40381,"corporation":false,"usgs":true,"family":"Ji","given":"W.","email":"","affiliations":[],"preferred":false,"id":460182,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70037201,"text":"70037201 - 2010 - Evaluation of the use of performance reference compounds in an oasis-HLB adsorbent based passive sampler for improving water concentration estimates of polar herbicides in freshwater","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70037201","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the use of performance reference compounds in an oasis-HLB adsorbent based passive sampler for improving water concentration estimates of polar herbicides in freshwater","docAbstract":"Passive samplers such as the Polar Organic Chemical Integrative Sampler (POCIS) are useful tools for monitoring trace levels of polar organic chemicals in aquatic environments. The use of performance reference compounds (PRC) spiked into the POCIS adsorbent for in situ calibration may improve the semiquantitative nature of water concentration estimates based on this type of sampler. In this work, deuterium labeled atrazine-desisopropyl (DIA-d5) was chosen as PRC because of its relatively high fugacity from Oasis HLB (the POCIS adsorbent used) and our earlier evidence of its isotropic exchange. In situ calibration of POCIS spiked with DIA-d5was performed, and the resulting time-weighted average concentration estimates were compared with similar values from an automatic sampler equipped with Oasis HLB cartridges. Before PRC correction, water concentration estimates based on POCIS data sampling ratesfrom a laboratory calibration exposure were systematically lower than the reference concentrations obtained with the automatic sampler. Use of the DIA-d5 PRC data to correct POCIS sampling rates narrowed differences between corresponding values derived from the two methods. Application of PRCs for in situ calibration seems promising for improving POCIS-derived concentration estimates of polar pesticides. However, careful attention must be paid to the minimization of matrix effects when the quantification is performed by HPLC-ESI-MS/MS. ?? 2010 American Chemical Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/es902256m","issn":"0013936X","usgsCitation":"Mazzella, N., Lissalde, S., Moreira, S., Delmas, F., Mazellier, P., and Huckins, J., 2010, Evaluation of the use of performance reference compounds in an oasis-HLB adsorbent based passive sampler for improving water concentration estimates of polar herbicides in freshwater: Environmental Science & Technology, v. 44, no. 5, p. 1713-1719, https://doi.org/10.1021/es902256m.","startPage":"1713","endPage":"1719","numberOfPages":"7","costCenters":[],"links":[{"id":216995,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es902256m"},{"id":244902,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-01-28","publicationStatus":"PW","scienceBaseUri":"505a0cf8e4b0c8380cd52d82","contributors":{"authors":[{"text":"Mazzella, N.","contributorId":63244,"corporation":false,"usgs":true,"family":"Mazzella","given":"N.","email":"","affiliations":[],"preferred":false,"id":459871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lissalde, S.","contributorId":21789,"corporation":false,"usgs":true,"family":"Lissalde","given":"S.","email":"","affiliations":[],"preferred":false,"id":459867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moreira, S.","contributorId":60473,"corporation":false,"usgs":true,"family":"Moreira","given":"S.","email":"","affiliations":[],"preferred":false,"id":459869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Delmas, F.","contributorId":74984,"corporation":false,"usgs":true,"family":"Delmas","given":"F.","email":"","affiliations":[],"preferred":false,"id":459872,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mazellier, P.","contributorId":46797,"corporation":false,"usgs":true,"family":"Mazellier","given":"P.","email":"","affiliations":[],"preferred":false,"id":459868,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Huckins, J.N.","contributorId":62553,"corporation":false,"usgs":true,"family":"Huckins","given":"J.N.","email":"","affiliations":[],"preferred":false,"id":459870,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037261,"text":"70037261 - 2010 - Evolution of a natural debris flow: In situ measurements of flow dynamics, video imagery, and terrestrial laser scanning","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037261","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of a natural debris flow: In situ measurements of flow dynamics, video imagery, and terrestrial laser scanning","docAbstract":"Many theoretical and laboratory studies have been undertaken to understand debris-flow processes and their associated hazards. However, complete and quantitative data sets from natural debris flows needed for confirmation of these results are limited. We used a novel combination of in situ measurements of debris-flow dynamics, video imagery, and pre- and postflow 2-cm-resolution digital terrain models to study a natural debris-flow event. Our field data constrain the initial and final reach morphology and key flow dynamics. The observed event consisted of multiple surges, each with clear variation of flow properties along the length of the surge. Steep, highly resistant, surge fronts of coarse-grained material without measurable pore-fluid pressure were pushed along by relatively fine-grained and water-rich tails that had a wide range of pore-fluid pressures (some two times greater than hydrostatic). Surges with larger nonequilibrium pore-fluid pressures had longer travel distances. A wide range of travel distances from different surges of similar size indicates that dynamic flow properties are of equal or greater importance than channel properties in determining where a particular surge will stop. Progressive vertical accretion of multiple surges generated the total thickness of mapped debris-flow deposits; nevertheless, deposits had massive, vertically unstratified sedimentological textures. ?? 2010 Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/G30928.1","issn":"00917613","usgsCitation":"McCoy, S., Kean, J., Coe, J.A., Staley, D., Wasklewicz, T., and Tucker, G., 2010, Evolution of a natural debris flow: In situ measurements of flow dynamics, video imagery, and terrestrial laser scanning: Geology, v. 38, no. 8, p. 735-738, https://doi.org/10.1130/G30928.1.","startPage":"735","endPage":"738","numberOfPages":"4","costCenters":[],"links":[{"id":245349,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217403,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G30928.1"}],"volume":"38","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0d7ce4b0c8380cd5304a","contributors":{"authors":[{"text":"McCoy, S.W.","contributorId":74608,"corporation":false,"usgs":true,"family":"McCoy","given":"S.W.","affiliations":[],"preferred":false,"id":460139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, J. W. 0000-0003-3089-0369","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":71679,"corporation":false,"usgs":true,"family":"Kean","given":"J. W.","affiliations":[],"preferred":false,"id":460138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coe, J. A.","contributorId":8867,"corporation":false,"usgs":true,"family":"Coe","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":460135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, D.M.","contributorId":17851,"corporation":false,"usgs":true,"family":"Staley","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":460136,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wasklewicz, T.A.","contributorId":64922,"corporation":false,"usgs":true,"family":"Wasklewicz","given":"T.A.","affiliations":[],"preferred":false,"id":460137,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tucker, G.E.","contributorId":102992,"corporation":false,"usgs":true,"family":"Tucker","given":"G.E.","affiliations":[],"preferred":false,"id":460140,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037347,"text":"70037347 - 2010 - Sediment transport on the Palos Verdes shelf, California","interactions":[],"lastModifiedDate":"2012-03-12T17:22:08","indexId":"70037347","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Sediment transport on the Palos Verdes shelf, California","docAbstract":"Sediment transport and the potential for erosion or deposition have been investigated on the Palos Verdes (PV) and San Pedro shelves in southern California to help assess the fate of an effluent-affected deposit contaminated with DDT and PCBs. Bottom boundary layer measurements at two 60-m sites in spring 2004 were used to set model parameters and evaluate a one-dimensional (vertical) model of local, steady-state resuspension, and suspended-sediment transport. The model demonstrated skill (Brier scores up to 0.75) reproducing the magnitudes of bottom shear stress, current speeds, and suspended-sediment concentrations measured during an April transport event, but the model tended to underpredict observed rotation in the bottom-boundary layer, possibly because the model did not account for the effects of temperature-salinity stratification. The model was run with wave input estimated from a nearby buoy and current input from four to six years of measurements at thirteen sites on the 35- and 65-m isobaths on the PV and San Pedro shelves. Sediment characteristics and erodibility were based on gentle wet-sieve analysis and erosion-chamber measurements. Modeled flow and sediment transport were mostly alongshelf toward the northwest on the PV shelf with a significant offshore component. The 95th percentile of bottom shear stresses ranged from 0.09 to 0.16 Pa at the 65-m sites, and the lowest values were in the middle of the PV shelf, near the Whites Point sewage outfalls where the effluent-affected layer is thickest. Long-term mean transport rates varied from 0.9 to 4.8 metric tons m<sup>-1</sup> yr<sup>-1</sup> along the 65-m isobaths on the PV shelf, and were much higher at the 35-m sites. Gradients in modeled alongshore transport rates suggest that, in the absence of a supply of sediment from the outfalls or PV coast, erosion at rates of ???0.2 mm yr<sup>-1</sup> might occur in the region southeast of the outfalls. These rates are small compared to some estimates of background natural sedimentation rates (???5 mm yr<sup>-1</sup>), but do not preclude higher localized rates near abrupt transitions in sediment characteristics. However, low particle settling velocities and strong currents result in transport length-scales that are long relative to the narrow width of the PV shelf, which combined with the significant offshore component in transport, means that transport of resuspended sediment towards deep water is as likely as transport along the axis of the effluent-affected deposit.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Continental Shelf Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.csr.2010.01.011","issn":"02784343","usgsCitation":"Ferre, B., Sherwood, C.R., and Wiberg, P., 2010, Sediment transport on the Palos Verdes shelf, California: Continental Shelf Research, v. 30, no. 7, p. 761-780, https://doi.org/10.1016/j.csr.2010.01.011.","startPage":"761","endPage":"780","numberOfPages":"20","costCenters":[],"links":[{"id":475870,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10037/13266","text":"External Repository"},{"id":245226,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217291,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.csr.2010.01.011"}],"volume":"30","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b89e7e4b08c986b316f28","contributors":{"authors":[{"text":"Ferre, B.","contributorId":56481,"corporation":false,"usgs":true,"family":"Ferre","given":"B.","email":"","affiliations":[],"preferred":false,"id":460565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood, C. R.","contributorId":48235,"corporation":false,"usgs":true,"family":"Sherwood","given":"C.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":460564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiberg, P.L.","contributorId":33827,"corporation":false,"usgs":true,"family":"Wiberg","given":"P.L.","email":"","affiliations":[],"preferred":false,"id":460563,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036453,"text":"70036453 - 2010 - The areal extent of brown shrimp habitat suitability in Mobile Bay, Alabama, USA: Targeting vegetated habitat restoration","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70036453","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"The areal extent of brown shrimp habitat suitability in Mobile Bay, Alabama, USA: Targeting vegetated habitat restoration","docAbstract":"The availability of wetlands and shallow water habitats significantly influences Gulf of Mexico (GOM) penaeid shrimp fishery productivity. However, the GOM region has the highest rate of wetland loss in the USA. Protection and management of these vital GOM habitats are critical to sustainable shrimp fisheries. Brown shrimp (Farfantepenaeus aztecus) are a major component of GOM fisheries. We present an approach for estimating the areal extent of suitable habitat for post-larval and juvenile brown shrimp in Mobile Bay, Alabama, using an existing habitat suitability index model for the northern GOM calculated from probabilistic survey of water quality and sediment data, land cover data, and submerged aquatic vegetation coverages. This estuarine scale approach is intended to support targeted protection and restoration of these habitats. These analyses indicate that approximately 60% of the area of Mobile Bay is categorized as suitable to near optimal for post-larval and juvenile shrimp and 38% of the area is marginally to minimally suitable. We identify potential units within Mobile Bay for targeted restoration to improve habitat suitability. ?? 2010 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10661-009-1303-0","issn":"01676369","usgsCitation":"Smith, L., Nestlerode, J., Harwell, L., and Bourgeois, P., 2010, The areal extent of brown shrimp habitat suitability in Mobile Bay, Alabama, USA: Targeting vegetated habitat restoration: Environmental Monitoring and Assessment, v. 171, no. 1-4, p. 611-620, https://doi.org/10.1007/s10661-009-1303-0.","startPage":"611","endPage":"620","numberOfPages":"10","costCenters":[],"links":[{"id":218352,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-009-1303-0"},{"id":246352,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"171","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2010-01-16","publicationStatus":"PW","scienceBaseUri":"505ba9d1e4b08c986b322525","contributors":{"authors":[{"text":"Smith, L.M.","contributorId":82650,"corporation":false,"usgs":true,"family":"Smith","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":456230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nestlerode, J.A.","contributorId":67738,"corporation":false,"usgs":true,"family":"Nestlerode","given":"J.A.","affiliations":[],"preferred":false,"id":456229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harwell, L.C.","contributorId":45162,"corporation":false,"usgs":true,"family":"Harwell","given":"L.C.","email":"","affiliations":[],"preferred":false,"id":456228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bourgeois, P.","contributorId":94498,"corporation":false,"usgs":true,"family":"Bourgeois","given":"P.","affiliations":[],"preferred":false,"id":456231,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037085,"text":"70037085 - 2010 - Response of a macrotidal estuary to changes in anthropogenic mercury loading between 1850 and 2000","interactions":[],"lastModifiedDate":"2018-10-10T09:59:54","indexId":"70037085","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Response of a macrotidal estuary to changes in anthropogenic mercury loading between 1850 and 2000","docAbstract":"<p>Methylmercury (MeHg) bioaccumulation in marine food webs poses risks to fish-consuming populations and wildlife. Here we develop and test an estuarine mercury cycling model for a coastal embayment of the Bay of Fundy, Canada. Mass budget calculations reveal that MeHg fluxes into sediments from settling solids exceed losses from sediment-to-water diffusion and resuspension. Although measured methylation rates in benthic sediments are high, rapid demethylation results in negligible net in situ production of MeHg. These results suggest that inflowing fluvial and tidal waters, rather than coastal sediments, are the dominant MeHg sources for pelagic marine food webs in this region. Model simulations show water column MeHg concentrations peaked in the 1960s and declined by almost 40% by the year 2000. Water column MeHg concentrations respond rapidly to changes in mercury inputs, reaching 95% of steady state in approximately 2 months. Thus, MeHg concentrations in pelagic organisms can be expected to respond rapidly to mercury loading reductions achieved through regulatory controls. In contrast MeHg concentrations in sediments have steadily increased since the onset of industrialization despite recent decreases in total mercury loading. Benthic food web MeHg concentrations are likely to continue to increase over the next several decades at present-day mercury emissions levels because the deep active sediment layer in this system contains a large amount of legacy mercury and requires hundreds of years to reach steady state with inputs.</p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es9032524","issn":"0013936X","usgsCitation":"Sunderl, E., Dalziel, J., Heyes, A., Branfireun, B., Krabbenhoft, D., and Gobas, F., 2010, Response of a macrotidal estuary to changes in anthropogenic mercury loading between 1850 and 2000: Environmental Science & Technology, v. 44, no. 5, p. 1698-1704, https://doi.org/10.1021/es9032524.","productDescription":"7 p.","startPage":"1698","endPage":"1704","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":245020,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217103,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es9032524"}],"volume":"44","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-02-01","publicationStatus":"PW","scienceBaseUri":"505aaa28e4b0c8380cd86196","contributors":{"authors":[{"text":"Sunderl, E.M.","contributorId":9088,"corporation":false,"usgs":true,"family":"Sunderl","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":459306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalziel, J.","contributorId":64484,"corporation":false,"usgs":true,"family":"Dalziel","given":"J.","email":"","affiliations":[],"preferred":false,"id":459308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heyes, A.","contributorId":58051,"corporation":false,"usgs":true,"family":"Heyes","given":"A.","email":"","affiliations":[],"preferred":false,"id":459307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Branfireun, B.A.","contributorId":92843,"corporation":false,"usgs":true,"family":"Branfireun","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":459310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":118001,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David P.","email":"dpkrabbe@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":459309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gobas, F.A.P.C.","contributorId":8700,"corporation":false,"usgs":true,"family":"Gobas","given":"F.A.P.C.","email":"","affiliations":[],"preferred":false,"id":459305,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036449,"text":"70036449 - 2010 - Mercury and methylmercury dynamics in a coastal plain watershed, New Jersey, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70036449","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Mercury and methylmercury dynamics in a coastal plain watershed, New Jersey, USA","docAbstract":"The upper Great Egg Harbor River watershed in New Jersey's Coastal Plain is urbanized but extensive freshwater wetlands are present downstream. In 2006-2007, studies to assess levels of total mercury (THg) found concentrations in unfiltered streamwater to range as high as 187 ng/L in urbanized areas. THg concentrations were <20 ng/L in streamwater in forested/wetlands areas where both THg and dissolved organic carbon concentrations tended to increase while pH and concentrations of dissolved oxygen and nitrate decreased with flushing of soils after rain. Most of the river's flow comes from groundwater seepage; unfiltered groundwater samples contained up to 177 ng/L of THg in urban areas where there is a history of well water with THg that exceeds the drinking water standard (2,000 ng/L). THg concentrations were lower (<25 ng/L) in unfiltered groundwater from downstream wetland areas. In addition to higher THg concentrations (mostly particulate), concentrations of chloride were higher in streamwater and groundwater from urban areas than in those from downstream wetland areas. Methylmercury (MeHg) concentrations in unfiltered streamwater ranged from 0.17 ng/L at a forest/wetlands site to 2.94 ng/L at an urban site. The percentage of THg present as MeHg increased as the percentage of forest + wetlands increased, but also was high in some urban areas. MeHg was detected only in groundwater <1 m below the water/sediment interface. Atmospheric deposition is presumed to be the main source of Hg to the wetlands and also may be a source to groundwater, where wastewater inputs in urban areas are hypothesized to mobilize Hg deposited to soils. ?? 2010 US Government.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water, Air, and Soil Pollution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s11270-010-0340-1","issn":"00496979","usgsCitation":"Barringer, J.L., Riskin, M., Szabo, Z., Reilly, P., Rosman, R., Bonin, J., Fischer, J., and Heckathorn, H., 2010, Mercury and methylmercury dynamics in a coastal plain watershed, New Jersey, USA: Water, Air, & Soil Pollution, v. 212, no. 1-4, p. 251-273, https://doi.org/10.1007/s11270-010-0340-1.","startPage":"251","endPage":"273","numberOfPages":"23","costCenters":[],"links":[{"id":246288,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218289,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11270-010-0340-1"}],"volume":"212","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2010-02-24","publicationStatus":"PW","scienceBaseUri":"505a53dbe4b0c8380cd6cd71","contributors":{"authors":[{"text":"Barringer, J. L.","contributorId":13994,"corporation":false,"usgs":true,"family":"Barringer","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":456210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riskin, M.L.","contributorId":33384,"corporation":false,"usgs":true,"family":"Riskin","given":"M.L.","affiliations":[],"preferred":false,"id":456212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Szabo, Z. 0000-0002-0760-9607","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":44302,"corporation":false,"usgs":true,"family":"Szabo","given":"Z.","affiliations":[],"preferred":false,"id":456213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reilly, P.A. 0000-0002-2937-4490","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":26153,"corporation":false,"usgs":true,"family":"Reilly","given":"P.A.","affiliations":[],"preferred":false,"id":456211,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosman, R. 0000-0001-5042-1872","orcid":"https://orcid.org/0000-0001-5042-1872","contributorId":62852,"corporation":false,"usgs":true,"family":"Rosman","given":"R.","affiliations":[],"preferred":false,"id":456215,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonin, J.L. 0000-0002-5813-3549","orcid":"https://orcid.org/0000-0002-5813-3549","contributorId":55642,"corporation":false,"usgs":true,"family":"Bonin","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":456214,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fischer, J.M. 0000-0003-2996-9272","orcid":"https://orcid.org/0000-0003-2996-9272","contributorId":74419,"corporation":false,"usgs":true,"family":"Fischer","given":"J.M.","affiliations":[],"preferred":false,"id":456216,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Heckathorn, H.A.","contributorId":107772,"corporation":false,"usgs":true,"family":"Heckathorn","given":"H.A.","affiliations":[],"preferred":false,"id":456217,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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