Heavy persistent rains from late February through March 2010 caused severe widespread flooding in Rhode Island that set or nearly set record flows and water levels at many long-term streamgages in the State. In response, the U.S. Geological Survey, in partnership with the Federal Emergency Management Agency, conducted a study to update estimates of flood magnitudes at streamgages and regional equations for estimating flood flows at ungaged locations. This report provides information needed for flood plain management, transportation infrastructure design, flood insurance studies, and other purposes that can help minimize future flood damages and risks. The magnitudes of floods were determined from the annual peak flows at 43 streamgages in Rhode Island (20 sites), Connecticut (14 sites), and Massachusetts (9 sites) using the standard Bulletin 17B log-Pearson type III method and a modification of this method called the expected moments algorithm (EMA) for 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probability (AEP) floods. Annual-peak flows were analyzed for the period of record through the 2010 water year; however, records were extended at 23 streamgages using the maintenance of variance extension (MOVE) procedure to best represent the longest period possible for determining the generalized skew and flood magnitudes. Generalized least square regression equations were developed from the flood quantiles computed at 41 streamgages (2 streamgages in Rhode Island with reported flood quantiles were not used in the regional regression because of regulation or redundancy) and their respective basin characteristics to estimate magnitude of floods at ungaged sites. Of 55 basin characteristics evaluated as potential explanatory variables, 3 were statistically significant—drainage area, stream density, and basin storage. The pseudo-coefficient of determination (pseudo-R2) indicates these three explanatory variables explain 95 to 96 percent of the variance in the flood magnitudes from 20- to 0.2-percent AEPs. Estimates of uncertainty of the at-site and regression flood magnitudes are provided and were combined with their respective estimated flood quantiles to improve estimates of flood flows at streamgages. This region has a long history of urban development, which is considered to have an important effect on flood flows. This study includes basins that have an impervious area ranging from 0.5 to 37 percent. Although imperviousness provided some explanatory power in the regression, it was not statistically significant at the 95-percent confidence level for any of the AEPs examined. Influence of urbanization on flood flows indicates a complex interaction with other characteristics that confounds a statistical explanation of its effects. Standard methods for calculating magnitude of floods for given AEP are based on the assumption of stationarity, that is, the annual peak flows exhibit no significant trend over time. A subset of 16 streamgages with 70 or more years of unregulated systematic record indicates all but 4 streamgages have a statistically significant positive trend at the 95-percent confidence level; three of these are statistically significant at about the 90-percent confidence level or above. If the trend continues linearly in time, the estimated magnitude of floods for any AEP, on average, will increase by 6, 13, and 21 percent in 10, 20, and 30 years' time, respectively. In 2010, new peaks of record were set at 18 of the 21 active streamgages in Rhode Island. The updated flood frequency analysis indicates the peaks at these streamgages ranged from 2- to 0.2-percent AEP. Many streamgages in the State peaked at a 0.5- and 0.2-percent AEP, except for streamgages in the Blackstone River Basin, which peaked from a 4- to 2-percent AEP.
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Science Center","active":false,"usgs":true}],"preferred":false,"id":465034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Levin, Sara B. 0000-0002-2448-3129 slevin@usgs.gov","orcid":"https://orcid.org/0000-0002-2448-3129","contributorId":1870,"corporation":false,"usgs":true,"family":"Levin","given":"Sara","email":"slevin@usgs.gov","middleInitial":"B.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465036,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038825,"text":"sim3189 - 2012 - Flood-inundation maps for Peachtree Creek from the Norfolk Southern Railway bridge to the Moores Mill Road NW bridge, Atlanta, Georgia","interactions":[],"lastModifiedDate":"2017-01-11T12:38:52","indexId":"sim3189","displayToPublicDate":"2012-06-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3189","title":"Flood-inundation maps for Peachtree Creek from the Norfolk Southern Railway bridge to the Moores Mill Road NW bridge, Atlanta, Georgia","docAbstract":"Digital flood-inundation maps for a 5.5-mile reach of the Peachtree Creek from the Norfolk Southern Railway bridge to the Moores Mill Road NW bridge, were developed by the U.S. Geological Survey (USGS) in cooperation with the City of Atlanta, Georgia. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at Peachtree Creek at Atlanta, Georgia (02336300) and the USGS streamgage at Chattahoochee River at Georgia 280, near Atlanta, Georgia (02336490). Current water level (stage) at these USGS streamgages may be obtained at http://waterdata.usgs.gov/ and can be used in conjunction with these maps to estimate near real-time areas of inundation. The National Weather Service (NWS) is incorporating results from this study into the Advanced Hydrologic Prediction Service (AHPS) flood warning system (http:/water.weather.gov/ahps/). The NWS forecasts flood hydrographs at many places that commonly are collocated at USGS streamgages. The forecasted peak-stage information for the USGS streamgage at Peachtree Creek, which is available through the AHPS Web site, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. A one-dimensional step-backwater model was developed using the U.S. Army Corps of Engineers HEC–RAS software for a 6.5-mile reach of Peachtree Creek and was used to compute flood profiles for a 5.5-mile reach of the creek. The model was calibrated using the most current stage-discharge relations at the Peachtree Creek at Atlanta, Georgia, streamgage (02336300), and the Chattahoochee River at Georgia 280, near Atlanta, Georgia, streamgage (02336490) as well as high water marks collected during the 2010 annual peak flow event. The hydraulic model was then used to determine 50 water-surface profiles. The profiles are for 10 flood stages at the Peachtree Creek streamgage at 1-foot intervals referenced to the streamgage datum and ranging from just above bankfull stage (15.0 feet) to approximately the highest recorded water level at the streamgage (24.0 feet). At each stage on Peachtree Creek, five stages at the Chattahoochee River streamgage, from 26.4 feet to 38.4 feet in 3-foot intervals, were used to determine backwater effects. The simulated water-surface profiles were then combined with a geographic information system digital elevation model—derived from Light Detection and Ranging (LiDAR) data having a 0.3-foot vertical and 16.4-foot horizontal resolution—to delineate the area flooded for each 1-foot increment of stream stage. The availability of these maps, when combined with real-time information regarding current stage from USGS streamgages and forecasted stream stages from the NWS, provide emergency management personnel and residents with critical information during flood response activities, such as evacuations and road closures as well as for postflood-recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3189","collaboration":"Prepared in cooperation with the City of Atlanta, Georgia","usgsCitation":"Musser, J.W., 2012, Flood-inundation maps for Peachtree Creek from the Norfolk Southern Railway bridge to the Moores Mill Road NW bridge, Atlanta, Georgia: U.S. Geological Survey Scientific Investigations Map 3189, v [vi], 9 p.; PDF and JPG Downloads of Sheets 1-50: 35.00 x 24.00 inches; Downloads Directory, https://doi.org/10.3133/sim3189.","productDescription":"v [vi], 9 p.; PDF and JPG Downloads of Sheets 1-50: 35.00 x 24.00 inches; Downloads Directory","startPage":"i","endPage":"9","numberOfPages":"15","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":257880,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3189.png"},{"id":257877,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3189/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","city":"Atlanta","otherGeospatial":"Peachtree Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.45,33.800555555555555 ], [ -84.45,33.81777777777778 ], [ -84.36694444444444,33.81777777777778 ], [ -84.36694444444444,33.800555555555555 ], [ -84.45,33.800555555555555 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1165e4b0c8380cd53f9d","contributors":{"authors":[{"text":"Musser, Jonathan W. 0000-0002-3543-0807 jwmusser@usgs.gov","orcid":"https://orcid.org/0000-0002-3543-0807","contributorId":2266,"corporation":false,"usgs":true,"family":"Musser","given":"Jonathan","email":"jwmusser@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465024,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70003674,"text":"70003674 - 2012 - Explaining differences between bioaccumulation measurements in laboratory and field data through use of a probabilistic modeling approach","interactions":[],"lastModifiedDate":"2020-01-11T12:00:43","indexId":"70003674","displayToPublicDate":"2012-06-23T19:24:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Explaining differences between bioaccumulation measurements in laboratory and field data through use of a probabilistic modeling approach","docAbstract":"In the regulatory context, bioaccumulation assessment is often hampered by substantial data uncertainty as well as by the poorly understood differences often observed between results from laboratory and field bioaccumulation studies. Bioaccumulation is a complex, multifaceted process, which calls for accurate error analysis. Yet, attempts to quantify and compare propagation of error in bioaccumulation metrics across species and chemicals are rare. Here, we quantitatively assessed the combined influence of physicochemical, physiological, ecological, and environmental parameters known to affect bioaccumulation for 4 species and 2 chemicals, to assess whether uncertainty in these factors can explain the observed differences among laboratory and field studies. The organisms evaluated in simulations including mayfly larvae, deposit-feeding polychaetes, yellow perch, and little owl represented a range of ecological conditions and biotransformation capacity. The chemicals, pyrene and the polychlorinated biphenyl congener PCB-153, represented medium and highly hydrophobic chemicals with different susceptibilities to biotransformation. An existing state of the art probabilistic bioaccumulation model was improved by accounting for bioavailability and absorption efficiency limitations, due to the presence of black carbon in sediment, and was used for probabilistic modeling of variability and propagation of error. Results showed that at lower trophic levels (mayfly and polychaete), variability in bioaccumulation was mainly driven by sediment exposure, sediment composition and chemical partitioning to sediment components, which was in turn dominated by the influence of black carbon. At higher trophic levels (yellow perch and the little owl), food web structure (i.e., diet composition and abundance) and chemical concentration in the diet became more important particularly for the most persistent compound, PCB-153. These results suggest that variation in bioaccumulation assessment is reduced most by improved identification of food sources as well as by accounting for the chemical bioavailability in food components. Improvements in the accuracy of aqueous exposure appear to be less relevant when applied to moderate to highly hydrophobic compounds, because this route contributes only marginally to total uptake. The determination of chemical bioavailability and the increase in understanding and qualifying the role of sediment components (black carbon, labile organic matter, and the like) on chemical absorption efficiencies has been identified as a key next steps.","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ieam.217","usgsCitation":"Selck, H., Drouillard, K., Eisenreich, K., Koelmans, A.A., Palmqvist, A., Ruus, A., Salvito, D., Schultz, I., Stewart, A.R., Weisbrod, A., van den Brink, N.W., and van den Heuvel-Greve, M., 2012, Explaining differences between bioaccumulation measurements in laboratory and field data through use of a probabilistic modeling approach: Integrated Environmental Assessment and Management, v. 8, no. 1, p. 42-63, https://doi.org/10.1002/ieam.217.","productDescription":"22 p.","startPage":"42","endPage":"63","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":499906,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/explaining-differences-between-bioaccumulation-measurements-in-la","text":"External Repository"},{"id":257848,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-01","publicationStatus":"PW","scienceBaseUri":"505a0e03e4b0c8380cd53280","contributors":{"authors":[{"text":"Selck, Henriette","contributorId":28475,"corporation":false,"usgs":false,"family":"Selck","given":"Henriette","affiliations":[{"id":13410,"text":"Department of Environmental, Social and Spatial Change, Roskilde University, PO Box 260, Universitetsvej 1, DK-4000 Roskilde, Denmark","active":true,"usgs":false}],"preferred":false,"id":348278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drouillard, Ken","contributorId":38001,"corporation":false,"usgs":true,"family":"Drouillard","given":"Ken","affiliations":[],"preferred":false,"id":348280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eisenreich, Karen","contributorId":18221,"corporation":false,"usgs":true,"family":"Eisenreich","given":"Karen","affiliations":[],"preferred":false,"id":348277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koelmans, Albert A.","contributorId":51594,"corporation":false,"usgs":true,"family":"Koelmans","given":"Albert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":348282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmqvist, Annemette","contributorId":53224,"corporation":false,"usgs":true,"family":"Palmqvist","given":"Annemette","email":"","affiliations":[],"preferred":false,"id":348283,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruus, Anders","contributorId":36413,"corporation":false,"usgs":true,"family":"Ruus","given":"Anders","email":"","affiliations":[],"preferred":false,"id":348279,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Salvito, Daniel","contributorId":14687,"corporation":false,"usgs":true,"family":"Salvito","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":348276,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schultz, Irv","contributorId":81745,"corporation":false,"usgs":true,"family":"Schultz","given":"Irv","email":"","affiliations":[],"preferred":false,"id":348285,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stewart, A. 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General Technical Report PSW-GTR-238","language":"English","usgsCitation":"Weller, T.J., and Stricker, C.A., 2012, Northern California Redwood Forests provide important seasonal habitat for migrant bats, chap. of Proceedings of coast redwood forests in a changing California: A symposium for scientists and managers; General Technical Report PSW-GTR-238, p. 447-457.","productDescription":"11 p.","startPage":"447","endPage":"457","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":257833,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257824,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.fs.fed.us/psw/publications/documents/psw_gtr238/psw_gtr238_447.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6832e4b0c8380cd7367f","contributors":{"editors":[{"text":"Standiford, Richard B.","contributorId":112348,"corporation":false,"usgs":true,"family":"Standiford","given":"Richard","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":508297,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Weller, Theodore J.","contributorId":105961,"corporation":false,"usgs":false,"family":"Weller","given":"Theodore","email":"","middleInitial":"J.","affiliations":[{"id":13261,"text":"USDA Forest Service, Pacific Southwest Research Station, Davis, California","active":true,"usgs":false}],"preferred":false,"id":508294,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Piirto, Douglas J.","contributorId":111988,"corporation":false,"usgs":true,"family":"Piirto","given":"Douglas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":508296,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Stuart, John D.","contributorId":111869,"corporation":false,"usgs":true,"family":"Stuart","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":508295,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Weller, Theodore J.","contributorId":105961,"corporation":false,"usgs":false,"family":"Weller","given":"Theodore","email":"","middleInitial":"J.","affiliations":[{"id":13261,"text":"USDA Forest Service, Pacific Southwest Research Station, Davis, California","active":true,"usgs":false}],"preferred":false,"id":353609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":353608,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70038113,"text":"70038113 - 2012 - Life at the hyperarid margin: novel bacterial diversity in arid soils of the Atacama Desert, Chile","interactions":[],"lastModifiedDate":"2018-03-23T14:39:02","indexId":"70038113","displayToPublicDate":"2012-06-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1615,"text":"Extremophiles","active":true,"publicationSubtype":{"id":10}},"title":"Life at the hyperarid margin: novel bacterial diversity in arid soils of the Atacama Desert, Chile","docAbstract":"Nearly half the earth's surface is occupied by dryland ecosystems, regions susceptible to reduced states of biological productivity caused by climate fluctuations. Of these regions, arid zones located at the interface between vegetated semiarid regions and biologically unproductive hyperarid zones are considered most vulnerable. The objective of this study was to conduct a deep diversity analysis of bacterial communities in unvegetated arid soils of the Atacama Desert, to characterize community structure and infer the functional potential of these communities based on observed phylogenetic associations. A 454-pyrotag analysis was conducted of three unvegetated arid sites located at the hyperarid-arid margin. The analysis revealed communities with unique bacterial diversity marked by high abundances of novel Actinobacteria and Chloroflexi and low levels of Acidobacteria and Proteobacteria, phyla that are dominant in many biomes. A 16S rRNA gene library of one site revealed the presence of clones with phylogenetic associations to chemoautotrophic taxa able to obtain energy through oxidation of nitrite, carbon monoxide, iron, or sulfur. Thus, soils at the hyperarid margin were found to harbor a wealth of novel bacteria and to support potentially viable communities with phylogenetic associations to non-phototrophic primary producers and bacteria capable of biogeochemical cycling.","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","usgsCitation":"Neilson, J.W., Quade, J., Ortiz, M., Nelson, W.M., Legatzki, A., Tian, F., LaComb, M., Betancourt, J.L., Wing, R.A., Soderlund, C.A., and Maier, R.M., 2012, Life at the hyperarid margin: novel bacterial diversity in arid soils of the Atacama Desert, Chile: Extremophiles, v. 16, no. 3, p. 553-566.","productDescription":"14 p.","startPage":"553","endPage":"566","costCenters":[{"id":601,"text":"U.S. Geological Survey, Tuscon, AZ","active":false,"usgs":true}],"links":[{"id":257813,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257811,"rank":9999,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs00792-012-0454-z","linkFileType":{"id":5,"text":"html"}}],"country":"Chile","otherGeospatial":"Atacama Desert","volume":"16","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4754e4b0c8380cd6781d","contributors":{"authors":[{"text":"Neilson, Julia W.","contributorId":44021,"corporation":false,"usgs":true,"family":"Neilson","given":"Julia","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":463456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quade, Jay","contributorId":104197,"corporation":false,"usgs":true,"family":"Quade","given":"Jay","email":"","affiliations":[],"preferred":false,"id":463461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ortiz, Marianyoly","contributorId":61286,"corporation":false,"usgs":true,"family":"Ortiz","given":"Marianyoly","email":"","affiliations":[],"preferred":false,"id":463459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, William M.","contributorId":31611,"corporation":false,"usgs":true,"family":"Nelson","given":"William","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463455,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Legatzki, Antje","contributorId":29252,"corporation":false,"usgs":true,"family":"Legatzki","given":"Antje","email":"","affiliations":[],"preferred":false,"id":463454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tian, Fei","contributorId":9106,"corporation":false,"usgs":true,"family":"Tian","given":"Fei","email":"","affiliations":[],"preferred":false,"id":463452,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LaComb, Michelle","contributorId":57710,"corporation":false,"usgs":true,"family":"LaComb","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":463458,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - 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2012 - Use of vertical temperature gradients for prediction of tidal flat sediment characteristics","interactions":[],"lastModifiedDate":"2013-02-23T22:25:16","indexId":"70038295","displayToPublicDate":"2012-06-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Use of vertical temperature gradients for prediction of tidal flat sediment characteristics","docAbstract":"Sediment characteristics largely govern tidal flat morphologic evolution; however, conventional methods of investigating spatial variability in lithology on tidal flats are difficult to employ in these highly dynamic regions. In response, a series of laboratory experiments was designed to investigate the use of temperature diffusion toward sediment characterization. A vertical thermistor array was used to quantify temperature gradients in simulated tidal flat sediments of varying compositions. Thermal conductivity estimates derived from these arrays were similar to measurements from a standard heated needle probe, which substantiates the thermistor methodology. While the thermal diffusivities of dry homogeneous sediments were similar, diffusivities for saturated homogeneous sediments ranged approximately one order of magnitude. The thermal diffusivity of saturated sand was five times the thermal diffusivity of saturated kaolin and more than eight times the thermal diffusivity of saturated bentonite. This suggests that vertical temperature gradients can be used for distinguishing homogeneous saturated sands from homogeneous saturated clays and perhaps even between homogeneous saturated clay types. However, experiments with more realistic tidal flat mixtures were less discriminating. Relationships between thermal diffusivity and percent fines for saturated mixtures varied depending upon clay composition, indicating that clay hydration and/or water content controls thermal gradients. Furthermore, existing models for the bulk conductivity of sediment mixtures were improved only through the use of calibrated estimates of homogeneous end-member conductivity and water content values. Our findings suggest that remotely sensed observations of water content and thermal diffusivity could only be used to qualitatively estimate tidal flat sediment characteristics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research C: Oceans","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, DC","doi":"10.1029/2011JC007566","usgsCitation":"Miselis, J.L., Holland, K.T., Reed, A.H., and Abelev, A., 2012, Use of vertical temperature gradients for prediction of tidal flat sediment characteristics: Journal of Geophysical Research C: Oceans, v. 117, no. C3, p. 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Understanding at the appropriate scale the interactions of natural and anthropogenic controlling factors that influence nitrate occurrence in recently recharged groundwater is critical to support best management and policy decisions that are often made at the aquifer to subaquifer scale. New logistic regression models were developed using data from the U.S. Geological Survey's National Water-Quality Assessment (NAWQA) program and National Water Information System for 17 principal aquifers of the U.S. to identify important source, transport, and attenuation factors that control nonpoint source nitrate concentrations greater than relative background levels in recently recharged groundwater and were used to predict the probability of detecting elevated nitrate in areas beyond the sampling network. Results indicate that dissolved oxygen, crops and irrigated cropland, fertilizer application, seasonally high water table, and soil properties that affect infiltration and denitrification are among the most important factors in predicting elevated nitrate concentrations. Important differences in controlling factors and spatial predictions were identified in the principal aquifer and national-scale models and support the conclusion that similar spatial scales are needed between informed groundwater management and model development.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","publisherLocation":"Washington, D.C.","doi":"10.1021/es300688b","usgsCitation":"Gurdak, J., and Qi, S.L., 2012, Vulnerability of recently recharged groundwater in principal aquifers of the United States to nitrate contamination: Environmental Science & Technology, v. 46, no. 11, p. 6004-6012, https://doi.org/10.1021/es300688b.","productDescription":"9 p.","startPage":"6004","endPage":"6012","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true}],"links":[{"id":257829,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es300688b"},{"id":257830,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"46","issue":"11","noUsgsAuthors":false,"publicationDate":"2012-05-24","publicationStatus":"PW","scienceBaseUri":"505bc381e4b08c986b32b202","contributors":{"authors":[{"text":"Gurdak, Jason J.","contributorId":65125,"corporation":false,"usgs":true,"family":"Gurdak","given":"Jason J.","affiliations":[],"preferred":false,"id":463803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463802,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70038078,"text":"70038078 - 2012 - Variance of discharge estimates sampled using acoustic Doppler current profilers from moving boats","interactions":[],"lastModifiedDate":"2012-06-23T01:01:40","indexId":"70038078","displayToPublicDate":"2012-06-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Variance of discharge estimates sampled using acoustic Doppler current profilers from moving boats","docAbstract":"This paper presents a model for quantifying the random errors (i.e., variance) of acoustic Doppler current profiler (ADCP) discharge measurements from moving boats for different sampling times. The model focuses on the random processes in the sampled flow field and has been developed using statistical methods currently available for uncertainty analysis of velocity time series. Analysis of field data collected using ADCP from moving boats from three natural rivers of varying sizes and flow conditions shows that, even though the estimate of the integral time scale of the actual turbulent flow field is larger than the sampling interval, the integral time scale of the sampled flow field is on the order of the sampling interval. Thus, an equation for computing the variance error in discharge measurements associated with different sampling times, assuming uncorrelated flow fields is appropriate. The approach is used to help define optimal sampling strategies by choosing the exposure time required for ADCPs to accurately measure flow discharge.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydraulic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Civil Engineers","publisherLocation":"Reston, VA","doi":"10.1061/(ASCE)HY.1943-7900.0000558","usgsCitation":"Garcia, C.M., Tarrab, L., Oberg, K., Szupiany, R., and Cantero, M.I., 2012, Variance of discharge estimates sampled using acoustic Doppler current profilers from moving boats: Journal of Hydraulic Engineering, https://doi.org/10.1061/(ASCE)HY.1943-7900.0000558.","numberOfPages":"39","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":257832,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257827,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)HY.1943-7900.0000558"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc14de4b08c986b32a500","contributors":{"authors":[{"text":"Garcia, Carlos M.","contributorId":71432,"corporation":false,"usgs":true,"family":"Garcia","given":"Carlos","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tarrab, Leticia","contributorId":64116,"corporation":false,"usgs":true,"family":"Tarrab","given":"Leticia","email":"","affiliations":[],"preferred":false,"id":463415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oberg, Kevin","contributorId":89385,"corporation":false,"usgs":true,"family":"Oberg","given":"Kevin","affiliations":[],"preferred":false,"id":463417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Szupiany, Ricardo","contributorId":42494,"corporation":false,"usgs":true,"family":"Szupiany","given":"Ricardo","affiliations":[],"preferred":false,"id":463414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cantero, Mariano I.","contributorId":37609,"corporation":false,"usgs":true,"family":"Cantero","given":"Mariano","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":463413,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70147686,"text":"70147686 - 2012 - Progress report for project modeling Arctic barrier island-lagoon system response to projected Arctic warming","interactions":[],"lastModifiedDate":"2018-06-18T11:10:03","indexId":"70147686","displayToPublicDate":"2012-06-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Progress report for project modeling Arctic barrier island-lagoon system response to projected Arctic warming","docAbstract":"Changes in Arctic coastal ecosystems in response to global warming may be some of the most severe on the planet. A better understanding and analysis of the rates at which these changes are expected to occur over the coming decades is crucial in order to delineate high-priority areas that are likely to be affected by climate changes. In this study we investigate the likelihood of changes to habitat-supporting barrier island – lagoon systems in response to projected changes in atmospheric and oceanographic forcing associated with Arctic warming. To better understand the relative importance of processes responsible for the current and future coastal landscape, key parameters related to increasing arctic temperatures are investigated and used to establish boundary conditions for models that simulate barrier island migration and inundation of deltaic deposits and low-lying tundra. The modeling effort investigates the dominance and relative importance of physical processes shaping the modern Arctic coastline as well as decadal responses due to projected conditions out to the year 2100.
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The Reservoir is a main source of drinking water for the U.S. Marine Corps (USMC) Base in Quantico, Virginia. The U.S. Geological Survey (USGS), in cooperation with the USMC, conducted a bathymetric survey of Breckenridge Reservoir in March 2009. The survey was conducted to provide the USMC Natural Resources and Environmental Affairs (NREA) with information regarding reservoir storage capacity and general bathymetric properties. The bathymetric survey can provide a baseline for future work on sediment loads and deposition rates for the reservoir. Bathymetric data were collected using a boat-mounted Wide Area Augmentation System (WAAS) differential global positioning system (DGPS), echo depth-sounding equipment, and computer software. Data were exported into a geographic information system (GIS) for mapping and calculating area and volume. 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The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site, depict estimates of the areal extent of flooding corresponding to selected water levels (stages) at the USGS streamgage 04182000 St. Marys River near Fort Wayne, Ind. Current conditions at the USGS streamgages in Indiana may be obtained from the National Water Information System: Web Interface. In addition, the information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system. The NWS forecasts flood hydrographs at many places that are often collocated at USGS streamgages. That forecasted peak-stage information, also available on the Internet, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, water-surface profiles were simulated for the stream reach by means of a hydraulic one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relation at the USGS streamgage 04182000 St. Marys River near Fort Wayne, Ind. The hydraulic model was then used to simulate 11 water-surface profiles for flood stages at 1-ft intervals referenced to the streamgage datum and ranging from bankfull to approximately the highest recorded water level at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level. A flood inundation map was generated for each water-surface profile stage (11 maps in all) so that for any given flood stage users will be able to view the estimated area of inundation. The availability of these maps along with current stage from USGS streamgages and forecasted stream stages from the NWS provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for post flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3205","collaboration":"Prepared in Cooperation with the City of Fort Wayne, Indiana","usgsCitation":"Menke, C.D., Kim, M.H., and Fowler, K.K., 2012, Flood-inundation maps for the St. Marys River at Fort Wayne, Indiana: U.S. Geological Survey Scientific Investigations Map 3205, iv, 7 p.; Data Files; Dataset Directory, README, Vector Metadata, Raster Metadata; 11 Sheets; Sheet 1: 17.03 inches x 22.00 inches, Sheet 2: 17.03 inches x 22.00 inches, Sheet 3: 17.03 inches x 22.00 inches, Sheet 4: 17.03 inches x 22.00 inches, Sheet 5: 17.00 inches x 22.00 inches, Sheet 6: 17.03 inches x 22.00 inches, Sheet 7: 17.03 inches x 22.00 inches, Sheet 8: 17.03 inches x 22.00 inches, Sheet 9: 17.03 inches x 22.00 inches, Sheet 10: 17.03 inches x 22.00 inches, Sheet 10: 17.03 inches x 22.00 inches; 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This study was conducted during 2008 and 2010 to establish a framework for assessing endocrine disrupting chemicals, and involved a statewide survey of their occurrence in 14 Minnesota lakes and a targeted study of different microhabitats on a single lake. The lakes ranged in size from about 0.1 to 100 square kilometers, varied in trophic status from oligotrophic to eutrophic, and spanned a range of land-uses from wetlands and forest to agricultural and urban use. Water and sediment samples were collected from the near-shore littoral environment and analyzed for endocrine disrupting chemicals, including trace elements, acidic organic compounds, neutral organic compounds, and steroidal hormones. In addition, polar organic compound integrative samplers were deployed for 21 days and analyzed for the same organic compounds. One lake was selected for a detailed microhabitat study of multiple near-shore environments. This report compiles the results from the field measurements and laboratory chemical analysis of water, sediment, and polar organic compound integrative sampler samples collected during 2008 and 2010. Most of the organic compounds measured were not detected in any of the water samples, although a few compounds were detected in several of the lakes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121124","collaboration":"Prepared in cooperation with the Minnesota Pollution Control Agency","usgsCitation":"Barber, L.B., Writer, J.H., Keefe, S., Brown, G.K., Ferrey, M.L., Jahns, N.D., Kiesling, R.L., Lundy, J.R., Poganski, B.H., Rosenberry, D.O., Taylor, H.E., Woodruff, O., and Schoenfuss, H.L., 2012, Endocrine disrupting chemicals in Minnesota lakes - Water-quality and hydrological data from 2008 and 2010: U.S. Geological Survey Open-File Report 2012-1124, viii, 13 p.; Figures: pgs. 14-16; Tables: pgs. 17-53, https://doi.org/10.3133/ofr20121124.","productDescription":"viii, 13 p.; Figures: pgs. 14-16; Tables: pgs. 17-53","startPage":"i","endPage":"53","onlineOnly":"Y","temporalStart":"2008-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":257836,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1124.jpg"},{"id":257853,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1124/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Minnesota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.2,43.56666666666667 ], [ -97.2,49.38333333333333 ], [ -89.56666666666666,49.38333333333333 ], [ -89.56666666666666,43.56666666666667 ], [ -97.2,43.56666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0926e4b0c8380cd51e1b","contributors":{"authors":[{"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":464993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Writer, Jeffrey H. jwriter@usgs.gov","contributorId":1393,"corporation":false,"usgs":true,"family":"Writer","given":"Jeffrey","email":"jwriter@usgs.gov","middleInitial":"H.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":464995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keefe, Steffanie K.","contributorId":12739,"corporation":false,"usgs":true,"family":"Keefe","given":"Steffanie K.","affiliations":[],"preferred":false,"id":465000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Greg K.","contributorId":8554,"corporation":false,"usgs":true,"family":"Brown","given":"Greg","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":464998,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferrey, Mark L.","contributorId":59912,"corporation":false,"usgs":true,"family":"Ferrey","given":"Mark","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":465001,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jahns, Nathan D.","contributorId":12124,"corporation":false,"usgs":true,"family":"Jahns","given":"Nathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":464999,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464997,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lundy, James R.","contributorId":102737,"corporation":false,"usgs":true,"family":"Lundy","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":465004,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Poganski, Beth H.","contributorId":107558,"corporation":false,"usgs":true,"family":"Poganski","given":"Beth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":465005,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":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":464994,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Taylor, Howard E. hetaylor@usgs.gov","contributorId":1551,"corporation":false,"usgs":true,"family":"Taylor","given":"Howard","email":"hetaylor@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":464996,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Woodruff, Olivia P.","contributorId":69407,"corporation":false,"usgs":true,"family":"Woodruff","given":"Olivia P.","affiliations":[],"preferred":false,"id":465002,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":465003,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70007520,"text":"70007520 - 2012 - Downscaling future climate scenarios to fine scales for hydrologic and ecological modeling and analysis","interactions":[],"lastModifiedDate":"2012-06-23T01:01:39","indexId":"70007520","displayToPublicDate":"2012-06-21T20:06:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1460,"text":"Ecological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Downscaling future climate scenarios to fine scales for hydrologic and ecological modeling and analysis","docAbstract":"Introduction
\nEvaluating the environmental impacts of climate change on water resources and biological components of the landscape is an integral part of hydrologic and ecological investigations, and the resultant land and resource management in the twenty-first century. Impacts of both climate and simulated hydrologic parameters on ecological processes are relevant at scales that reflect the heterogeneity and complexity of landscapes. At present, simulations of climate change available from global climate models [GCMs] require downscaling for hydrologic or ecological applications.
\nMethods
\nUsing statistically downscaled future climate projections developed using constructed analogues, a methodology was developed to further downscale the projections spatially using a gradient-inverse-distance-squared approach for application to hydrologic modeling at 270-m spatial resolution.
\nResults
\nThis paper illustrates a methodology to downscale and bias-correct national GCMs to subkilometer scales that are applicable to fine-scale environmental processes. Four scenarios were chosen to bracket the range of future emissions put forth by the Intergovernmental Panel on Climate Change. Fine-scale applications of downscaled datasets of ecological and hydrologic correlations to variation in climate are illustrated.
\nConclusions
\nThe methodology, which includes a sequence of rigorous analyses and calculations, is intended to reduce the addition of uncertainty to the climate data as a result of the downscaling while providing the fine-scale climate information necessary for ecological analyses. It results in new but consistent data sets for the US at 4 km, the southwest US at 270 m, and California at 90 m and illustrates the utility of fine-scale downscaling to analyses of ecological processes influenced by topographic complexity.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1186/2192-1709-1-2","usgsCitation":"Flint, L.E., and Flint, A.L., 2012, Downscaling future climate scenarios to fine scales for hydrologic and ecological modeling and analysis: Ecological Processes, v. 1, no. 1, 15 p.; Article 2, https://doi.org/10.1186/2192-1709-1-2.","productDescription":"15 p.; Article 2","numberOfPages":"15","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":474445,"rank":201,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2192-1709-1-2","text":"Publisher Index Page"},{"id":257796,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257794,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1186/2192-1709-1-2","linkFileType":{"id":5,"text":"html"}}],"volume":"1","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-02-10","publicationStatus":"PW","scienceBaseUri":"505a03b3e4b0c8380cd50601","contributors":{"authors":[{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":356602,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70038507,"text":"70038507 - 2012 - Steroid hormone runoff from agricultural test plots applied with municipal biosolids","interactions":[],"lastModifiedDate":"2021-05-28T14:55:29.99111","indexId":"70038507","displayToPublicDate":"2012-06-21T09:48:00","publicationYear":"2012","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":"Steroid hormone runoff from agricultural test plots applied with municipal biosolids","docAbstract":"The potential presence of steroid hormones in runoff from sites where biosolids have been used as agricultural fertilizers is an environmental concern. A study was conducted to assess the potential for runoff of seventeen different hormones and two sterols, including androgens, estrogens, and progestogens from agricultural test plots. The field containing the test plots had been applied with biosolids for the first time immediately prior to this study. Target compounds were isolated by solid-phase extraction (water samples) and pressurized solvent extraction (solid samples), derivatized, and analyzed by gas chromatography–tandem mass spectrometry. Runoff samples collected prior to biosolids application had low concentrations of two hormones (estrone <0.8 to 2.23 ng L-1 and androstenedione <0.8 to 1.54 ng L-1) and cholesterol (22.5 ± 3.8 μg L-1). In contrast, significantly higher concentrations of multiple estrogens (<0.8 to 25.0 ng L-1), androgens (<2 to 216 ng L-1), and progesterone (<8 to 98.9 ng L-1) were observed in runoff samples taken 1, 8, and 35 days after biosolids application. A significant positive correlation was observed between antecedent rainfall amount and hormone mass loads (runoff). Hormones in runoff were primarily present in the dissolved phase (<0.7-μm GF filter), and, to a lesser extent bound to the suspended-particle phase. Overall, these results indicate that rainfall can mobilize hormones from biosolids-amended agricultural fields, directly to surface waters or redistributed to terrestrial sites away from the point of application via runoff. Although concentrations decrease over time, 35 days is insufficient for complete degradation of hormones in soil at this site.","largerWorkTitle":"Environmental Science and Technology","language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es203896t","usgsCitation":"Yang, Y., Gray, J.L., Furlong, E.T., Davis, J.G., ReVollo, R.C., and Borch, T., 2012, Steroid hormone runoff from agricultural test plots applied with municipal biosolids: Environmental Science & Technology, v. 46, no. 5, p. 2746-2754, https://doi.org/10.1021/es203896t.","productDescription":"9 p.","startPage":"2746","endPage":"2754","costCenters":[{"id":140,"text":"Branch of Analytical Serv (National Water Quality Laboratory)","active":false,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":474446,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.651.2819","text":"External Repository"},{"id":257901,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-02-15","publicationStatus":"PW","scienceBaseUri":"505b9839e4b08c986b31bef6","contributors":{"authors":[{"text":"Yang, Yun-Ya","contributorId":70237,"corporation":false,"usgs":true,"family":"Yang","given":"Yun-Ya","affiliations":[],"preferred":false,"id":464462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":true,"id":464459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":464458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Jessica G.","contributorId":61693,"corporation":false,"usgs":true,"family":"Davis","given":"Jessica","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":464461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"ReVollo, Rhiannon C.","contributorId":42081,"corporation":false,"usgs":true,"family":"ReVollo","given":"Rhiannon","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":464460,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Borch, Thomas","contributorId":84617,"corporation":false,"usgs":true,"family":"Borch","given":"Thomas","affiliations":[],"preferred":false,"id":464463,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70038717,"text":"70038717 - 2012 - Paenibacillus thiaminolyticus is not the cause of thiamine deficiency impeding lake trout (Salvelinus namaycush) recruitment in the Great Lakes","interactions":[],"lastModifiedDate":"2017-05-23T13:33:29","indexId":"70038717","displayToPublicDate":"2012-06-21T08:53:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Paenibacillus thiaminolyticus is not the cause of thiamine deficiency impeding lake trout (Salvelinus namaycush) recruitment in the Great Lakes","docAbstract":"Thiamine (vitamin B1) deficiency is a global concern affecting wildlife, livestock, and humans. In Great Lakes salmonines, thiamine deficiency causes embryo mortality and is an impediment to restoration of native lake trout (Salvelinus namaycush) stocks. Thiamine deficiency in fish may result from a diet of prey with high levels of thiaminase I. The discoveries that the bacterial species Paenibacillus thiaminolyticus produces thiaminase I, is found in viscera of thiaminase-containing prey fish, and causes mortality when fed to lake trout in the laboratory provided circumstantial evidence implicating P. thiaminolyticus. This study quantified the contribution of P. thiaminolyticus to the total thiaminase I activity in multiple trophic levels of Great Lakes food webs. Unexpectedly, no relationship between thiaminase activity and either the amount of P. thiaminolyticus thiaminase I protein or the abundance of P. thiaminolyticus cells was found. These results demonstrate that P. thiaminolyticus is not the primary source of thiaminase activity affecting Great Lakes salmonines and calls into question the long-standing assumption that P. thiaminolyticus is the source of thiaminase in other wild and domestic animals.","language":"English","publisher":"NRC Research Press","publisherLocation":"Ottawa, Ontario","doi":"10.1139/f2012-043","usgsCitation":"Richter, C., Evans, A., Wright-Osment, M., Zajicek, J.L., Heppell, S.A., Riley, S., Krueger, C., and Tillitt, D.E., 2012, Paenibacillus thiaminolyticus is not the cause of thiamine deficiency impeding lake trout (Salvelinus namaycush) recruitment in the Great Lakes: Canadian Journal of Fisheries and Aquatic Sciences, v. 69, no. 6, p. 1056-1064, https://doi.org/10.1139/f2012-043.","productDescription":"9 p.","startPage":"1056","endPage":"1064","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":257903,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","volume":"69","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e271e4b0c8380cd45bb7","contributors":{"authors":[{"text":"Richter, Catherine A.","contributorId":100990,"corporation":false,"usgs":true,"family":"Richter","given":"Catherine A.","affiliations":[],"preferred":false,"id":464778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Allison N.","contributorId":64088,"corporation":false,"usgs":true,"family":"Evans","given":"Allison N.","affiliations":[],"preferred":false,"id":464775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright-Osment, Maureen K.","contributorId":40337,"corporation":false,"usgs":true,"family":"Wright-Osment","given":"Maureen K.","affiliations":[],"preferred":false,"id":464774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zajicek, James L. jzajicek@usgs.gov","contributorId":2775,"corporation":false,"usgs":true,"family":"Zajicek","given":"James","email":"jzajicek@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":464772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heppell, Scott A.","contributorId":17873,"corporation":false,"usgs":true,"family":"Heppell","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":464773,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Riley, Stephen C.","contributorId":84183,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen C.","affiliations":[],"preferred":false,"id":464777,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":464776,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":464771,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70038809,"text":"ofr20121130 - 2012 - Assessing native and introduced fish predation on migrating juvenile salmon in Priest Rapids and Wanapum Reservoirs, Columbia River, Washington, 2009--11","interactions":[],"lastModifiedDate":"2016-05-03T12:19:51","indexId":"ofr20121130","displayToPublicDate":"2012-06-21T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1130","title":"Assessing native and introduced fish predation on migrating juvenile salmon in Priest Rapids and Wanapum Reservoirs, Columbia River, Washington, 2009--11","docAbstract":"Hydroelectric development on the mainstem Columbia River has created a series of impoundments that promote the production of native and non-native piscivores. Reducing the effects of fish predation on migrating juvenile salmonids has been a major component of mitigating the effects of hydroelectric development in the Columbia River basin. Extensive research examining juvenile salmon predation has been conducted in the lower Columbia River. Fewer studies of predation have been done in the Columbia River upstream of its confluence with the Snake River; the most comprehensive predation study being from the early 1990s. The Public Utility District No. 2 of Grant County, Washington initiated a northern pikeminnow removal program in 1995 in an attempt to reduce predation on juvenile salmonids. However, there has been no assessment of the relative predation within the Priest Rapids Project since the removal program began. Further, there is concern about the effects of piscivores other than northern pikeminnow (Ptychocheilus oregonensis), such as channel catfish (Ictalurus punctatus), smallmouth bass (Micropterus dolomieu), and walleye (Sander vitreus, formerlyStizostedion vitreum). The Public Utility District No. 2 of Grant County, Washington and the Priest Rapids Coordinating Committee requested that the U.S. Geological Survey, in collaboration with the Washington Department of Fish and Wildlife, assist them in evaluating the effects of native and introduced predatory fish on migrating juvenile salmon. From 2009 to 2010, we conducted sampling in the 103 kilometers (64 river miles) of the Columbia River from the tailrace of Rock Island Dam downstream to the tailrace of Priest Rapids Dam. To assess predation, we used electrofishing to collect northern pikeminnow, smallmouth bass, and walleye to analyze their diets during 2009 and 2010. In 2009, we used methods to allow comparisons to a previous study conducted in 1993. During 2009, we also used an alternate sampling strategy using habitat data and geographic information system software to select sites and allocate samples. In 2010, we used the data collected during 2009 to further refine our sampling design, with the intent of using the data collected during 2010 to formulate a design strategy for implementation during 2011. Based on the results of 2011, we would then propose a strategy for future studies. However, during 2011, our efforts were redirected to specifically address factors that may be affecting steelhead trout survival in the Priest Rapids Reservoir, Columbia River.
\nWe used the catch and diet data collected in 2009 and 2010 to estimate relative abundance, consumption, and predation indices for northern pikeminnow and smallmouth bass. Despite extensive sampling in the study area in 2009 and 2010, very few channel catfish and walleye were captured. The mean total lengths of northern pikeminnow were much lower than those observed in 1993; suggesting that efforts to remove northern pikeminnow in the study area may be shifting the population towards smaller fish. The northern pikeminnow predation index values were lower in 2009 than in the 1993 study. The reduced predation levels observed may be due to the prevalence of smaller pikeminnow in our catches than in catches reported in 1993. Predation by smallmouth bass was lower in 2009 than in 2010, and generally was greater than predation for northern pikeminnow. Predation for northern pikeminnow was concentrated in the tailrace areas of Priest Rapids, Wanapum, and Rock Island Dams; predation for smallmouth bass was concentrated in the forebay and mid-reservoir sections of the study area. Our results indicate areas where control measures for smallmouth bass could be concentrated to reduce predation in the Priest Rapids Project.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121130","collaboration":"Prepared in cooperation with the Washington Department of Fish and Wildlife","usgsCitation":"Counihan, T.D., Hardiman, J.M., Burgess, D.S., Simmons, K.E., Holmberg, G.S., Rogala, J.A., and Polacek, R.R., 2012, Assessing native and introduced fish predation on migrating juvenile salmon in Priest Rapids and Wanapum Reservoirs, Columbia River, Washington, 2009--11: U.S. Geological Survey Open-File Report 2012-1130, viii, 28 p.; Figures: pgs. 29-61; Tables: pgs. 62-68, https://doi.org/10.3133/ofr20121130.","productDescription":"viii, 28 p.; Figures: pgs. 29-61; Tables: pgs. 62-68","startPage":"i","endPage":"68","numberOfPages":"76","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":257785,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1130.jpg"},{"id":257784,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1130/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","otherGeospatial":"Columbia River, Priest Rapids Reservoir, Wanapum Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.1849365234375,\n 46.50973514453879\n ],\n [\n -120.1849365234375,\n 47.32393057095941\n ],\n [\n -119.69604492187499,\n 47.32393057095941\n ],\n [\n -119.69604492187499,\n 46.50973514453879\n ],\n [\n -120.1849365234375,\n 46.50973514453879\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eddbe4b0c8380cd49a65","contributors":{"authors":[{"text":"Counihan, Timothy D. 0000-0003-4967-6514 tcounihan@usgs.gov","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":4211,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy","email":"tcounihan@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":464974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":464973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burgess, Dave S.","contributorId":8714,"corporation":false,"usgs":true,"family":"Burgess","given":"Dave","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":464976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simmons, Katrina E.","contributorId":50395,"corporation":false,"usgs":true,"family":"Simmons","given":"Katrina","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":464978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holmberg, Glen S. gholmberg@usgs.gov","contributorId":4342,"corporation":false,"usgs":true,"family":"Holmberg","given":"Glen","email":"gholmberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":464975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rogala, Josh A.","contributorId":97369,"corporation":false,"usgs":true,"family":"Rogala","given":"Josh","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":464979,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Polacek, Rochelle R.","contributorId":45173,"corporation":false,"usgs":true,"family":"Polacek","given":"Rochelle","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":464977,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70038806,"text":"fs20123070 - 2012 - A climate trend analysis of Chad","interactions":[],"lastModifiedDate":"2012-06-23T01:01:39","indexId":"fs20123070","displayToPublicDate":"2012-06-21T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3070","subseriesTitle":"Informing Climate Change Adaptation","title":"A climate trend analysis of Chad","docAbstract":"This brief report, drawing from a multi-year effort by the U.S. Agency for International Development (USAID) Famine Early Warning Systems Network (FEWS NET), identifies significant decreases in rainfall and increases in air temperature across Chad, especially in the eastern part of the country. These analyses are based on quality-controlled station observations. Conclusions:* Summer rains have decreased in eastern Chad during the past 20 years. * Temperatures have increased by 0.8 °Celsius since 1975, amplifying the effect of droughts. * Crop yields are very low and stagnant. * The amount of farmland per person is low, and decliningrapidly.* Population growth combined with stagnating yieldscould lead to a 30 percent reduction in per capita cereal production by 2025.* In many cases, areas with changing climate are coincident with zones of substantial conflict, indicating some degree of association; however, the contribution of climate change to these conflicts is not currently understood.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123070","collaboration":"Famine Early Warning Systems Network - Informing Climate Change Adaptation Series","usgsCitation":"Funk, C.C., Rowland, J., Adoum, A., Eilerts, G., and White, L., 2012, A climate trend analysis of Chad: U.S. Geological Survey Fact Sheet 2012-3070, 4 p., https://doi.org/10.3133/fs20123070.","productDescription":"4 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":257791,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3070.JPG"},{"id":257789,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3070/","linkFileType":{"id":5,"text":"html"}}],"country":"Chad","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 13,7 ], [ 13,22 ], [ 25,22 ], [ 25,7 ], [ 13,7 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4988e4b0b290850ef40a","contributors":{"authors":[{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":464968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowland, Jim 0000-0003-4837-3511","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":22891,"corporation":false,"usgs":true,"family":"Rowland","given":"Jim","email":"","affiliations":[],"preferred":false,"id":464969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adoum, Alkhalil","contributorId":59670,"corporation":false,"usgs":true,"family":"Adoum","given":"Alkhalil","email":"","affiliations":[],"preferred":false,"id":464971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eilerts, Gary","contributorId":31101,"corporation":false,"usgs":true,"family":"Eilerts","given":"Gary","email":"","affiliations":[],"preferred":false,"id":464970,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Libby","contributorId":61680,"corporation":false,"usgs":true,"family":"White","given":"Libby","email":"","affiliations":[],"preferred":false,"id":464972,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70038811,"text":"ofr20121129 - 2012 - Assessing fish predation on migrating juvenile steelhead and a retrospective comparison to steelhead survival through the Priest Rapids Hydroelectric Project, Columbia River, Washington, 2009-11","interactions":[],"lastModifiedDate":"2016-05-03T13:03:30","indexId":"ofr20121129","displayToPublicDate":"2012-06-21T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1129","title":"Assessing fish predation on migrating juvenile steelhead and a retrospective comparison to steelhead survival through the Priest Rapids Hydroelectric Project, Columbia River, Washington, 2009-11","docAbstract":"The U.S. Geological Survey (USGS) and the Washington Department of Fish and Wildlife (WDFW) have been working with the Public Utility District No. 2 of Grant County, Washington (Grant PUD), to increase their understanding of predator-prey interactions in the Priest Rapids Hydroelectric Project (PRP), Columbia River, Washington. For this study, the PRP is defined as the area approximately 6 kilometers upstream of Wanapum Dam to the Priest Rapids Dam tailrace, 397.1 miles from the mouth of the Columbia River. Past year’s low survival numbers of juvenile steelhead (Oncorhynchus mykiss) through Wanapum and Priest Rapids Dams has prompted Grant PUD, on behalf of the Priest Rapids Coordinating Committee, to focus research efforts on steelhead migration and potential causal mechanisms for low survival. Steelhead passage survival in 2009 was estimated at 0.944 through the Wanapum Development (dam and reservoir) and 0.881 through the Priest Rapids Development and for 2010, steelhead survival was 0.855 for Wanapum Development and 0.904 for Priest Rapids Development. The USGS and WDFW implemented field collection efforts in 2011 for northern pikeminnow (Ptychocheilus oregonensis), smallmouth bass (Micropterus dolomieu), and walleye (Sander vitreus, formerly Stizostedion vitreum) and their diets in the PRP. For predator indexing, we collected 948 northern pikeminnow, 237 smallmouth bass, 18 walleye, and two largemouth bass (Micropterus salmoides). The intent of this study was to provide standardized predation indices within individual reaches of the PRP to discern spatial variability in predation patterns. Furthermore, the results of the 2011 study were compared to results of a concurrent steelhead survival study. Our results do not indicate excessively high predation of Oncorhynchus spp. occurring by northern pikeminnow or smallmouth bass in any particular reach throughout the study area. Although we found Oncorhynchus spp. in the predator diets, the relative proportion was small. Predation index values in 2011 were highest in the Priest Rapids mid-reservoir reach for northern pikeminnow and smallmouth bass. Predation indices generally were high in the tailrace areas for northern pikeminnow, and high in the forebay areas for smallmouth bass. Steelhead survival in 2011 was consistently high throughout the study period and the PRP, although predation indices were relatively low, which suggests that fish predation did not significantly affect steelhead survival throughout the study area. Our efforts to correlate retrospective predation indices with survival estimates for 2009 and 2010 did provide some evidence for high predation occurring in some of the same reaches, which had low steelhead survival, such as the Priest Rapids tailrace in 2009. However, for 2010, our results indicated that the loss of salmonids to predation were more contradictory to the survival results, where predation indices were higher for reaches in the Priest Rapids Development than in the Wanapum Development. Establishing correlations between steelhead survival and observed predation indices for previous research years, in 2009 and 2010 was confounded by the lack of coordination of these two studies during the initial study design, implementation period for such an analysis. Future efforts to correlate steelhead survival with fish predation would benefit from efforts to better coordinate the studies with consistent study reaches, and better timing of concurrent efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121129","collaboration":"Prepared in cooperation with the Washington Department of Fish and Wildlife","usgsCitation":"Hardiman, J.M., Counihan, T.D., Burgess, D.S., Simmons, K.E., Holmberg, G.S., Rogala, J., and Polacek, R., 2012, Assessing fish predation on migrating juvenile steelhead and a retrospective comparison to steelhead survival through the Priest Rapids Hydroelectric Project, Columbia River, Washington, 2009-11: U.S. Geological Survey Open-File Report 2012-1129, vi, 18 p.; Figures: pgs. 19-30; Tables: pgs. 31-35, https://doi.org/10.3133/ofr20121129.","productDescription":"vi, 18 p.; Figures: pgs. 19-30; Tables: pgs. 31-35","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":257792,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1129.jpg"},{"id":257787,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1129/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","otherGeospatial":"Columbia River, Priest Rapids Reservoir, Wanapum Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.34973144531249,\n 46.5739667965278\n ],\n [\n -120.34973144531249,\n 47.51349065484327\n ],\n [\n -119.70703125,\n 47.51349065484327\n ],\n [\n -119.70703125,\n 46.5739667965278\n ],\n [\n -120.34973144531249,\n 46.5739667965278\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059edd4e4b0c8380cd49a2c","contributors":{"authors":[{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":464980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Counihan, Timothy D. 0000-0003-4967-6514 tcounihan@usgs.gov","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":4211,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy","email":"tcounihan@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":464981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burgess, Dave S.","contributorId":8714,"corporation":false,"usgs":true,"family":"Burgess","given":"Dave","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":464983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simmons, Katrina E.","contributorId":50395,"corporation":false,"usgs":true,"family":"Simmons","given":"Katrina","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":464985,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holmberg, Glen S. gholmberg@usgs.gov","contributorId":4342,"corporation":false,"usgs":true,"family":"Holmberg","given":"Glen","email":"gholmberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":464982,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rogala, Josh","contributorId":52460,"corporation":false,"usgs":true,"family":"Rogala","given":"Josh","affiliations":[],"preferred":false,"id":464986,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Polacek, Rochelle","contributorId":39257,"corporation":false,"usgs":true,"family":"Polacek","given":"Rochelle","affiliations":[],"preferred":false,"id":464984,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}