{"pageNumber":"1656","pageRowStart":"41375","pageSize":"25","recordCount":184582,"records":[{"id":70045226,"text":"70045226 - 2012 - Recycling of water, carbon, and sulfur during subduction of serpentinites: A stable isotope study of Cerro del Almirez, Spain","interactions":[],"lastModifiedDate":"2013-05-30T08:35:13","indexId":"70045226","displayToPublicDate":"2012-04-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Recycling of water, carbon, and sulfur during subduction of serpentinites: A stable isotope study of Cerro del Almirez, Spain","docAbstract":"We use the concentrations and isotope compositions of water, carbon, and sulfur in serpentinites and their dehydration products to trace the cycling of volatiles during subduction. Antigorite serpentinites from the Cerro del Almirez complex, Spain, contain 9–12 wt.% H2O and 910 ± 730 ppm sulfur, and have bulk δ18O values of 8.6 ± 0.4‰, δD = − 54 ± 5‰, and δ34S = 5.0‰, consistent with serpentinization at temperatures of ~ 200 °C by seawater hydrothermal fluids in a seafloor setting. The serpentinites were dehydrated to chlorite–harzburgite (olivine + orthopyroxene + chlorite) at 700 °C and 1.6–1.9 GPa during subduction metamorphism, resulting in loss of water, and sulfur. The chlorite–harzburgites contain 5.7 ± 1.9 wt.% H2O, and have bulk δ18O = 8.0 ± 0.9‰, and δD = − 77 ± 11‰. The rocks contain 650 ± 620 ppm sulfur having δ34S = 1.2‰. Dehydration of serpentinite resulted in loss of 5 wt.% H2O having δ18O = 8–10‰ and δD = − 27 to − 65‰, and loss of 260 ppm sulfur as sulfate, having δ34S = 14.5‰. The contents and δ13C of total carbon in the two rock types overlap, with a broad trend of decreasing carbon contents and δ13C from ~ 1300 to 200 ppm and − 9.6 to − 20.2‰. This reflects mixing between reduced carbon in the rocks (210 ppm, δ13C ≈ − 26‰) and seawater-derived carbonate (δ13C ≈ − 1‰). Our results indicate: 1) Serpentinized oceanic peridotites carry significant amounts of isotopically fractionated water, carbon and sulfur into subduction zones; 2) Subduction of serpentinites to high P and T results in loss of water, and sulfur, which can induce melting and contribute to 18O, D, and 34S enrichments and oxidation of the sub-arc mantle wedge; and 3) Isotopically fractionated water, carbon, and sulfur in serpentinite dehydration products are recycled deeper into the mantle where they can contribute to isotope heterogeneities and may be significant for volatile budgets of the deep Earth.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2012.01.029","usgsCitation":"Alt, J.C., Garrido, C.J., Shanks, W.C., Turchyn, A., Padron-Navarta, J.A., Lopez Sanchez-Vizcaino, V., Gomez Pugnaire, M.T., and Marchesi, C., 2012, Recycling of water, carbon, and sulfur during subduction of serpentinites: A stable isotope study of Cerro del Almirez, Spain: Earth and Planetary Science Letters, v. 327-328, p. 50-60, https://doi.org/10.1016/j.epsl.2012.01.029.","productDescription":"11 p.","startPage":"50","endPage":"60","ipdsId":"IP-032640","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":272999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2012.01.029"},{"id":273000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","otherGeospatial":"Cerro Del Almirez;Betic Cordillera In Southern Spain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -8,0.0011111111111111111 ], [ -8,0.0011111111111111111 ], [ 0,0.0011111111111111111 ], [ 0,0.0011111111111111111 ], [ -8,0.0011111111111111111 ] ] ] } } ] }","volume":"327-328","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a874e9e4b082d85d5ed8e3","contributors":{"authors":[{"text":"Alt, Jeffrey C.","contributorId":70213,"corporation":false,"usgs":true,"family":"Alt","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":477066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrido, Carlos J.","contributorId":48078,"corporation":false,"usgs":true,"family":"Garrido","given":"Carlos","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shanks, Wayne C. III","contributorId":100527,"corporation":false,"usgs":true,"family":"Shanks","given":"Wayne","suffix":"III","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":477070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turchyn, Alexandra","contributorId":77828,"corporation":false,"usgs":true,"family":"Turchyn","given":"Alexandra","email":"","affiliations":[],"preferred":false,"id":477067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Padron-Navarta, Jose Alberto","contributorId":107176,"corporation":false,"usgs":true,"family":"Padron-Navarta","given":"Jose","email":"","middleInitial":"Alberto","affiliations":[],"preferred":false,"id":477071,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lopez Sanchez-Vizcaino, Vicente","contributorId":25848,"corporation":false,"usgs":true,"family":"Lopez Sanchez-Vizcaino","given":"Vicente","email":"","affiliations":[],"preferred":false,"id":477064,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gomez Pugnaire, Maria Teresa","contributorId":85491,"corporation":false,"usgs":true,"family":"Gomez Pugnaire","given":"Maria","email":"","middleInitial":"Teresa","affiliations":[],"preferred":false,"id":477069,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marchesi, Claudio","contributorId":82606,"corporation":false,"usgs":true,"family":"Marchesi","given":"Claudio","email":"","affiliations":[],"preferred":false,"id":477068,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70193391,"text":"70193391 - 2012 - Variation in spring harvest rates of male wild turkeys in New York, Ohio, and Pennsylvania","interactions":[],"lastModifiedDate":"2017-11-14T15:20:36","indexId":"70193391","displayToPublicDate":"2012-04-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Variation in spring harvest rates of male wild turkeys in New York, Ohio, and Pennsylvania","docAbstract":"<p><span>Spring harvest rates of male wild turkeys (</span><i>Meleagris gallapavo</i><span>) influence the number and proportion of adult males in the population and turkey population models have treated harvest as additive to other sources of mortality. Therefore, hunting regulations and their effect on spring harvest rates have direct implications for hunter satisfaction. We used tag recovery models to estimate survival rates, investigate spatial, temporal, and demographic variability in harvest rates, and assess how harvest rates may be related to management strategies and landscape characteristics. We banded 3,266 male wild turkeys throughout New York, Ohio, and Pennsylvania during 2006–2009. We found little evidence that harvest rates varied by year or management zone. The proportion of the landscape that was forested within 6.5 km of the capture location was negatively related to harvest rates; however, even though the proportion forested ranged from 0.008 to 0.96 across our study area, this corresponded to differences in harvest rates of only 2–5%. Annual survival was approximately twice as high for juveniles<span>&nbsp;</span></span><span class=\"math\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/jwmg.256/asset/equation/tex2gif-ueqn-1.gif?v=1&amp;s=aa8b895acad47659e676b05fc7ddd24782b50ad1\" alt=\"equation image\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/jwmg.256/asset/equation/tex2gif-ueqn-1.gif?v=1&amp;s=aa8b895acad47659e676b05fc7ddd24782b50ad1\"></span><span><span>&nbsp;</span>as adults<span>&nbsp;</span></span><span class=\"math\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/jwmg.256/asset/equation/tex2gif-ueqn-2.gif?v=1&amp;s=a09c841fb8d23e628c24d777008163305eaa38a6\" alt=\"equation image\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/jwmg.256/asset/equation/tex2gif-ueqn-2.gif?v=1&amp;s=a09c841fb8d23e628c24d777008163305eaa38a6\"></span><span>. In turn, spring harvest rates for adult turkeys were greater for adults<span>&nbsp;</span></span><span class=\"math\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/jwmg.256/asset/equation/tex2gif-ueqn-3.gif?v=1&amp;s=6b79901bdf1d801161991ee6c7ab1e7b78f2a61f\" alt=\"equation image\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/jwmg.256/asset/equation/tex2gif-ueqn-3.gif?v=1&amp;s=6b79901bdf1d801161991ee6c7ab1e7b78f2a61f\"></span><span>than juveniles<span>&nbsp;</span></span><span class=\"math\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/jwmg.256/asset/equation/tex2gif-ueqn-4.gif?v=1&amp;s=a06185c061f55eb18f6bdc9cdf1188157ba51bc0\" alt=\"equation image\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/jwmg.256/asset/equation/tex2gif-ueqn-4.gif?v=1&amp;s=a06185c061f55eb18f6bdc9cdf1188157ba51bc0\"></span><span>. We estimated the population of male turkeys in New York and Pennsylvania ranged from 104,000 to 132,000 in all years and ranged from 63,000 to 75,000 in Ohio. Because of greater harvest rates for adult males, the proportion of adult males in the population was less than in the harvest and ranged from 0.40 to 0.81 among all states and years. The high harvest rates observed for adults may be offset by greater recruitment of juveniles into the adult age class the following year such that these states can sustain high harvest rates yet still maintain a relative high proportion of adult males in the harvest and population.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.256","usgsCitation":"Diefenbach, D.R., Casalena, M.J., Schiavone, M.V., Reynolds, M., Eriksen, R., Vreeland, W.C., Swift, B.L., and Boyd, R.C., 2012, Variation in spring harvest rates of male wild turkeys in New York, Ohio, and Pennsylvania: Journal of Wildlife Management, v. 76, no. 3, p. 514-522, https://doi.org/10.1002/jwmg.256.","productDescription":"9 p.","startPage":"514","endPage":"522","ipdsId":"IP-024601","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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C.","contributorId":171658,"corporation":false,"usgs":false,"family":"Vreeland","given":"Wendy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":722092,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swift, Bryan L.","contributorId":11433,"corporation":false,"usgs":false,"family":"Swift","given":"Bryan","email":"","middleInitial":"L.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":722093,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boyd, Robert C.","contributorId":71758,"corporation":false,"usgs":false,"family":"Boyd","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":722094,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70192534,"text":"70192534 - 2012 - Species abundance and potential biological control services in shade vs. sun coffee in Puerto Rico","interactions":[],"lastModifiedDate":"2017-11-28T13:05:08","indexId":"70192534","displayToPublicDate":"2012-04-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":682,"text":"Agriculture, Ecosystems and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Species abundance and potential biological control services in shade vs. sun coffee in Puerto Rico","docAbstract":"<p><span>Birds, lizards and insects were surveyed in three sun and three shade coffee plantations in Puerto Rico to provide a comprehensive comparison of biodiversity between plantations types and to identify potential interrelationships (e.g., biological or natural control services) between members of each taxon and coffee pests. Abundance of avian species, including insectivorous species, was significantly higher in shade coffee.&nbsp;</span><i>Anolis cristatellus</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>A. stratulus</i><span><span>&nbsp;</span>were significantly more abundant in sun plantations whereas<span>&nbsp;</span></span><i>A. gundlachi</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>A. evermanni</i><span><span>&nbsp;</span>were detected more frequently in shade plantations. Insects in the orders Coleoptera, Diptera, Hemiptera, Hymenoptera, Lepidoptera, Neuroptera, and Psocoptera were significantly more abundant in shade coffee, while orthopterans were more abundant in sun. The coffee leaf miner (</span><i>Leucoptera coffeela</i><span>) and the flatid planthopper (</span><i>Petrusa epilepsis</i><span>) did not differ significantly between plantation types, nor did the abundance of the wasp complex that parasitizes the coffee leaf miner. These findings confirmed that shade plantations harbor a wide array of elements of biodiversity; but sun plantations may also harbor many elements of biodiversity, and in some cases, in higher abundance than in shade plantations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.agee.2012.01.025","usgsCitation":"Borkhataria, R.R., Collazo, J., and Groom, M.J., 2012, Species abundance and potential biological control services in shade vs. sun coffee in Puerto Rico: Agriculture, Ecosystems and Environment, v. 151, p. 1-5, https://doi.org/10.1016/j.agee.2012.01.025.","productDescription":"5 p.","startPage":"1","endPage":"5","ipdsId":"IP-029470","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Puerto Rico","volume":"151","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610590e4b06e28e9c2555d","contributors":{"authors":[{"text":"Borkhataria, Rena R.","contributorId":197425,"corporation":false,"usgs":false,"family":"Borkhataria","given":"Rena","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":723846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":716134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groom, Martha J.","contributorId":37128,"corporation":false,"usgs":true,"family":"Groom","given":"Martha","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723847,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041712,"text":"70041712 - 2012 - Significance of rotating ground motions on nonlinear behavior of symmetric and asymmetric buildings in near fault sites","interactions":[],"lastModifiedDate":"2013-02-14T12:35:22","indexId":"70041712","displayToPublicDate":"2012-04-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Significance of rotating ground motions on nonlinear behavior of symmetric and asymmetric buildings in near fault sites","docAbstract":"Building codes in the U.S. require at least two horizontal ground motion components for three-dimensional (3D) response history analysis (RHA) of structures. For sites within 5 km of an active fault, these records should be rotated to fault-normal/fault-parallel (FN/FP) directions, and two RHA analyses should be performed separately (when FN and then FP are aligned with transverse direction of the structural axes). It is assumed that this approach will lead to two sets of responses that envelope the range of possible responses over all non-redundant rotation angles. This assumption is examined here using 3D computer models of a single-story structure having symmetric (that is, torsionally-stiff) and asymmetric (that is, torsionally flexible) layouts subjected to an ensemble of bi-directional near-fault strong ground motions with and without apparent velocity pulses. In this parametric study, the elastic vibration period of the structures is varied from 0.2 to 5 seconds, and yield strength reduction factors R is varied from a value that leads to linear-elastic design to 3 and 5. The influence that the rotation angle of the ground motion has on several engineering demand parameters (EDPs) is examined in linear-elastic and nonlinear-inelastic domains to form a benchmark for evaluating the use of the FN/FP directions as well as the maximum-direction (MD) ground motion, a new definition of horizontal ground motions for use in the seismic design of structures according to the 2009 NEHRP Provisions and Commentary.","conferenceTitle":"9th International Conference on Urban Earthquake Engineering/ 4th Asia Conference on Earthquake Engineering","conferenceDate":"2012-03-06T00:00:00","conferenceLocation":"Tokyo Institute of Technology, Tokyo, Japan","language":"English","publisherLocation":"Tokyo, Japan  3/6-8/2012","usgsCitation":"Kalkan, E., and Juan Carlos Reyes, 2012, Significance of rotating ground motions on nonlinear behavior of symmetric and asymmetric buildings in near fault sites, p. 1-10.","productDescription":"p. 1-10","numberOfPages":"10","ipdsId":"IP-035940","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":267393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267392,"type":{"id":11,"text":"Document"},"url":"https://nsmp.wr.usgs.gov/ekalkan/PDFs/A82_Reyes_Kalkan.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511e159be4b071e86a19a4ab","contributors":{"authors":[{"text":"Kalkan, Erol 0000-0002-9138-9407 ekalkan@usgs.gov","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":1218,"corporation":false,"usgs":true,"family":"Kalkan","given":"Erol","email":"ekalkan@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":470104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Juan Carlos Reyes","contributorId":128219,"corporation":true,"usgs":false,"organization":"Juan Carlos Reyes","id":535393,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045580,"text":"70045580 - 2012 - Socio-environmental health analysis in Nogales, Sonora, Mexico","interactions":[],"lastModifiedDate":"2013-06-17T15:57:15","indexId":"70045580","displayToPublicDate":"2012-04-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3715,"text":"Water Quality, Exposure, and Health","active":true,"publicationSubtype":{"id":10}},"title":"Socio-environmental health analysis in Nogales, Sonora, Mexico","docAbstract":"In Nogales, Sonora, Mexico, some neighborhoods, or colonias, have intermittent delivery of water through pipes from the city of Nogales’s municipal water-delivery system while other areas lack piped water and rely on water delivered by truck or pipas. This research examined how lifestyles, water quality, and potential disease response, such as diarrhea, differs seasonally from a colonia with access to piped water as opposed to one using alternative water-delivery systems. Water samples were collected from taps or spigots at homes in two Nogales colonias. One colonia reflected high socio-environmental conditions where residents are supplied with municipal piped water (Colonia Lomas de Fatima); the second colonia reflected low socio-environmental conditions, lacking access to piped water and served by pipas (Colonia Luis Donaldo Colosio). A survey was developed and implemented to characterize perceptions of water quality, health impacts, and quality of life. Water samples were analyzed for microbial and inorganic water-quality parameters known to impact human health including, Escherichia coli (E. coli), total coliform bacteria, arsenic, and lead. A total of 21 households agreed to participate in the study (14 in Colosio and 7 in Fatima). In both colonias metal concentrations from water samples were all well below the United States Environmental Protection Agency’s (US EPA’s) maximum contaminant levels. E. coli concentrations exceeded the US EPA’s drinking-water standard in Colosio but not Fatima. Total coliform bacteria were present in over 50 % of households in both colonias. Microbial contamination was significantly higher in the summer than in the winter in both colonias. Resulting analysis suggests that residents in colonias without piped water are at a greater risk of gastrointestinal illness from consumption of compromised drinking water. Our survey corroborated reports of gastrointestinal illness in the summer months but not in the winter. Chloride was found to be significantly greater in Colosio (median 29.2 mg/L) although still below the US EPA’s maximum contaminant levels of 250 mg/L. Ongoing binational collaboration can promote mechanisms to improve water quality in cities located in the US–Mexico border.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Quality, Exposure, and Health","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12403-012-0067-x","usgsCitation":"Norman, L.M., Caldeira, F., Callegary, J., Gray, F., O’ Rourke, M.K., Meranza, V., and Van Rijn, S., 2012, Socio-environmental health analysis in Nogales, Sonora, Mexico: Water Quality, Exposure, and Health, v. 4, no. 2, p. 79-91, https://doi.org/10.1007/s12403-012-0067-x.","productDescription":"13 p.","startPage":"79","endPage":"91","ipdsId":"IP-033444","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474535,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12403-012-0067-x","text":"Publisher Index Page"},{"id":273864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273862,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12403-012-0067-x"}],"country":"United States;Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.58,31.14 ], [ -110.58,31.20 ], [ -110.54,31.20 ], [ -110.54,31.14 ], [ -110.58,31.14 ] ] ] } } ] }","volume":"4","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-04-12","publicationStatus":"PW","scienceBaseUri":"51c02ff6e4b0ee1529ed3d59","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":477863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldeira, Felipe","contributorId":28148,"corporation":false,"usgs":true,"family":"Caldeira","given":"Felipe","email":"","affiliations":[],"preferred":false,"id":477865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Callegary, James","contributorId":62558,"corporation":false,"usgs":true,"family":"Callegary","given":"James","affiliations":[],"preferred":false,"id":477867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":477862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’ Rourke, Mary Kay","contributorId":25439,"corporation":false,"usgs":true,"family":"O’ Rourke","given":"Mary","email":"","middleInitial":"Kay","affiliations":[],"preferred":false,"id":477864,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meranza, Veronica","contributorId":97802,"corporation":false,"usgs":true,"family":"Meranza","given":"Veronica","email":"","affiliations":[],"preferred":false,"id":477868,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Rijn, Saskia","contributorId":48463,"corporation":false,"usgs":true,"family":"Van Rijn","given":"Saskia","email":"","affiliations":[],"preferred":false,"id":477866,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70039998,"text":"70039998 - 2012 - Myocastor coypus Molina (coypu)","interactions":[],"lastModifiedDate":"2019-12-13T12:39:46","indexId":"70039998","displayToPublicDate":"2012-03-31T12:33:21","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"30","displayTitle":"<i>Myocastor coypus</i> Molina (coypu)","title":"Myocastor coypus Molina (coypu)","docAbstract":"<p><i>Myocastor coypus</i>&nbsp;(coypu) (Figure 30.1) is a large semi-aquatic rodent native to South America that is now present in all continents, except Oceania and Antarctica, after widespread introductions in the 1930-1940s. There is a division in English speaking countries as to common name usage. In England and former British colonies (i.e. Kenya) they are called \"coypus\". In North America and Asia they are generally referred to as \"nutria\". However, it should be noted that in Spanish-speaking countries this name refers to otters (Lutrinae). </p><p><br></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"A handbook of global freshwater invasive species ","largerWorkSubtype":{"id":15,"text":"Monograph"},"publisher":"Earthscan","isbn":"9781849712286","usgsCitation":"Bertolino, S., Guichon, L.M., and Carter, J., 2012, Myocastor coypus Molina (coypu), chap. 30 <i>of</i> A handbook of global freshwater invasive species , p. 357-368.","productDescription":"11 p.","startPage":"357","endPage":"368","numberOfPages":"11","ipdsId":"IP-028584","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":370262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":370261,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.taylorfrancis.com/books/e/9780203127230"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bertolino, Sandro","contributorId":118156,"corporation":false,"usgs":true,"family":"Bertolino","given":"Sandro","email":"","affiliations":[],"preferred":false,"id":514352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guichon, Laura M M","contributorId":116071,"corporation":false,"usgs":true,"family":"Guichon","given":"Laura","suffix":"M","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":514351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Jacoby 0000-0003-0110-0284 carterj@usgs.gov","orcid":"https://orcid.org/0000-0003-0110-0284","contributorId":2399,"corporation":false,"usgs":true,"family":"Carter","given":"Jacoby","email":"carterj@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":777472,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038516,"text":"70038516 - 2012 - Population divergence and gene flow in an endangered and highly mobile seabird","interactions":[],"lastModifiedDate":"2020-12-31T13:25:49.689072","indexId":"70038516","displayToPublicDate":"2012-03-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1890,"text":"Heredity","active":true,"publicationSubtype":{"id":10}},"title":"Population divergence and gene flow in an endangered and highly mobile seabird","docAbstract":"<p><span>Seabirds are highly vagile and can disperse up to thousands of kilometers, making it difficult to identify the factors that promote isolation between populations. The endemic Hawaiian petrel (Pterodroma sandwichensis) is one such species. Today it is endangered, and known to breed only on the islands of Hawaii, Maui, Lanai and Kauai. Historical records indicate that a large population formerly bred on Molokai as well, but this population has recently been extirpated. Given the great dispersal potential of these petrels, it remains unclear if populations are genetically distinct and which factors may contribute to isolation between them. We sampled petrels from across their range, including individuals from the presumably extirpated Molokai population. We sequenced 524 bp of mitochondrial DNA, 741 bp from three nuclear introns, and genotyped 18 microsatellite loci in order to examine the patterns of divergence in this species and to investigate the potential underlying mechanisms. Both mitochondrial and nuclear data sets indicated significant genetic differentiation among all modern populations, but no differentiation was found between historic samples from Molokai and modern birds from Lanai. Population-specific nonbreeding distribution and strong natal philopatry may reduce gene flow between populations. However, the lack of population structure between extirpated Molokai birds and modern birds on Lanai indicates that there was substantial gene flow between these populations and that petrels may be able to overcome barriers to dispersal prior to complete extirpation. Hawaiian petrel populations could be considered distinct management units, however, the dwindling population on Hawaii may require translocation to prevent extirpation in the near future.</span></p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/hdy.2012.7","usgsCitation":"Welch, A.J., Fleischer, R.C., James, H., Wiley, A.E., Ostrom, P.H., Adams, J., Duvall, F., Holmes, N., Hu, D., Penniman, J., and Swindle, K.A., 2012, Population divergence and gene flow in an endangered and highly mobile seabird: Heredity, v. 109, no. 1, p. 19-28, https://doi.org/10.1038/hdy.2012.7.","productDescription":"10 p.","startPage":"19","endPage":"28","ipdsId":"IP-029463","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474540,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/hdy.2012.7","text":"Publisher Index Page"},{"id":381799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160.48828125,\n              18.812717856407776\n            ],\n            [\n              -154.62158203125,\n              18.812717856407776\n            ],\n            [\n              -154.62158203125,\n              22.370396344320053\n            ],\n            [\n              -160.48828125,\n              22.370396344320053\n            ],\n            [\n              -160.48828125,\n              18.812717856407776\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"109","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-03-21","publicationStatus":"PW","scienceBaseUri":"57f7f3b2e4b0bc0bec0a0b19","contributors":{"authors":[{"text":"Welch, A. J.","contributorId":119163,"corporation":false,"usgs":true,"family":"Welch","given":"A.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":514128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleischer, R. C.","contributorId":117574,"corporation":false,"usgs":true,"family":"Fleischer","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":514127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"James, H. F.","contributorId":116343,"corporation":false,"usgs":true,"family":"James","given":"H. F.","affiliations":[],"preferred":false,"id":514126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiley, A. E.","contributorId":119760,"corporation":false,"usgs":true,"family":"Wiley","given":"A.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":514129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ostrom, P. H.","contributorId":121266,"corporation":false,"usgs":true,"family":"Ostrom","given":"P.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":514130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, J.","contributorId":45240,"corporation":false,"usgs":true,"family":"Adams","given":"J.","affiliations":[],"preferred":false,"id":514122,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duvall, F.","contributorId":89250,"corporation":false,"usgs":true,"family":"Duvall","given":"F.","email":"","affiliations":[],"preferred":false,"id":514123,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holmes, N.","contributorId":105131,"corporation":false,"usgs":true,"family":"Holmes","given":"N.","email":"","affiliations":[],"preferred":false,"id":514124,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hu, D.","contributorId":11420,"corporation":false,"usgs":true,"family":"Hu","given":"D.","email":"","affiliations":[],"preferred":false,"id":514120,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Penniman, J.","contributorId":16661,"corporation":false,"usgs":true,"family":"Penniman","given":"J.","email":"","affiliations":[],"preferred":false,"id":514121,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Swindle, K. A.","contributorId":115402,"corporation":false,"usgs":true,"family":"Swindle","given":"K.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":514125,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70206013,"text":"70206013 - 2012 - Role of stranded gas from Central Asia and Russia in meeting Europe’s future import demand for gas","interactions":[],"lastModifiedDate":"2019-10-16T15:44:38","indexId":"70206013","displayToPublicDate":"2012-03-30T15:33:50","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Role of stranded gas from Central Asia and Russia in meeting Europe’s future import demand for gas","docAbstract":"<p><span>Stranded gas is natural gas in discovered fields that is currently not commercially producible for either physical or economic reasons. This study examines stranded gas from Russia and Central Asia and the role it can play in addressing Europe’s growing demand for imported natural gas requiring&nbsp;</span><i class=\"EmphasisTypeItalic \">additional</i><span>&nbsp;volumes of gas in excess of 130 trillion cubic feet. We find sufficient volumes of stranded gas in fields in the Central Asian state of Turkmenistan in the Amu-Darya Basin and in Russian fields in the West Siberian Basin. The analysis focused on the estimated cost of extraction and delivery to a single market location for various concentrations of gas in stranded gas fields in Central Asia and Russia. At import prices of $10 per million British thermal units (MMBTU), there are sufficient gas resources in stranded fields that can be commercially developed and delivered to the European market. If, however, imported gas prices fall below $7 per MMBTU, most of the stranded gas evaluated from West Siberia will not be commercial. The costs of delivering gas from the largest stranded gas fields in Turkmenistan and Azerbaijan were calculated to be greater than 30% below the costs of delivering gas from the largest stranded gas fields in Russia, which are located in the Yamal Peninsula. Central Asian gas producers, particularly those east of the Caspian Sea, have limited market options due to the near monopoly position that Gazprom holds in transporting pipeline gas from east of Europe. This study examines several additional options to supply gas to Europe by reviewing expected delivered costs from North African and Atlantic basin suppliers.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11053-012-9172-6","usgsCitation":"Attanasi, E., and Freeman, P., 2012, Role of stranded gas from Central Asia and Russia in meeting Europe’s future import demand for gas: Natural Resources Research, v. 21, no. 2, p. 193-220, https://doi.org/10.1007/s11053-012-9172-6.","productDescription":"18 p.","startPage":"193","endPage":"220","ipdsId":"IP-038670","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":368352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Azerbaijan, Kazakhstan, Russia, Turkmenistan, Uzbekistan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              39.375,\n              71.85622888185527\n            ],\n            [\n              52.734375,\n              65.5129625532949\n            ],\n            [\n              42.802734375,\n              51.944264879028765\n            ],\n            [\n              43.06640625,\n              47.989921667414194\n            ],\n            [\n              47.900390625,\n              40.78054143186033\n            ],\n            [\n              49.04296875,\n              37.78808138412046\n            ],\n            [\n              54.140625,\n              37.3002752813443\n            ],\n            [\n              53.876953125,\n              39.70718665682654\n            ],\n            [\n              63.10546874999999,\n              37.64903402157866\n            ],\n            [\n              76.81640625,\n              45.9511496866914\n            ],\n            [\n              86.66015624999999,\n              66.51326044311185\n            ],\n            [\n              85.25390625,\n              74.1160468394894\n            ],\n            [\n              45,\n              73.77577986189993\n            ],\n            [\n              39.375,\n              71.85622888185527\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":198728,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil D.","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Philip A. 0000-0002-0863-7431 pfreeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":193093,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","email":"pfreeman@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":773297,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037888,"text":"sir20125051 - 2012 - Simulation of streamflow and the effects of brush management on water yields in the upper Guadalupe River watershed, south-central Texas, 1995-2010","interactions":[],"lastModifiedDate":"2016-08-08T09:16:16","indexId":"sir20125051","displayToPublicDate":"2012-03-30T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5051","title":"Simulation of streamflow and the effects of brush management on water yields in the upper Guadalupe River watershed, south-central Texas, 1995-2010","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Texas State Soil and Water Conservation Board and the Upper Guadalupe River Authority, developed and calibrated a Soil and Water Assessment Tool watershed model of the upper Guadalupe River watershed in south-central Texas to simulate streamflow and the effects of brush management on water yields in the watershed and to Canyon Lake for 1995&ndash;2010. Model simulations were done to quantify the possible change in water yield of individual subbasins in the upper Guadalupe River watershed as a result of the replacement of ashe juniper (<i>Juniperus ashei</i>) with grasslands. The simulation results will serve as a tool for resource managers to guide their brush-management efforts.</p>\n<p>Model hydrology was calibrated with streamflow data collected at the U.S. Geological Survey streamflow-gaging station 08167500 Guadalupe River near Spring Branch, Tex., for 1995&ndash;2010. Simulated monthly streamflow showed very good agreement with measured monthly streamflow: a percent bias of -5, a coefficient of determination of 0.91, and a Nash&ndash;Sutcliffe coefficient of model efficiency of 0.85.</p>\n<p>Modified land-cover input datasets were generated for the model in order to simulate the replacement of ashe juniper with grasslands in 23 brush-management subbasins in the watershed. Each of the 23 simulations showed an increase in simulated water yields in the targeted subbasins and to Canyon Lake. The simulated increases in average annual water yields in the subbasins ranged from 6,370 to 119,000 gallons per acre of ashe juniper replaced with grasslands with an average of 38,900 gallons. The simulated increases in average annual water yields to Canyon Lake from upstream subbasins ranged from 6,640 to 72,700 gallons per acre of ashe juniper replaced with grasslands with an average of 34,700 gallons.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125051","collaboration":"Prepared in cooperation with the Texas State Soil and Water Conservation Board and the Upper Guadalupe River Authority","usgsCitation":"Bumgarner, J.R., and Thompson, F.E., 2012, Simulation of streamflow and the effects of brush management on water yields in the upper Guadalupe River watershed, south-central Texas, 1995-2010: U.S. Geological Survey Scientific Investigations Report 2012-5051, v, 25 p., https://doi.org/10.3133/sir20125051.","productDescription":"v, 25 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":246883,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5051.gif"},{"id":246882,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5051/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Texas Centric Mapping System?Albers Equal Equal Area Projection","datum":"North American Datum of 1983","country":"United States","state":"Texas","county":"Bandera County, Blanco County, Comal County, Gillespie County, Kendall County, Kerr County, Real County","city":"Kerrville","otherGeospatial":"Guadalupe River, Canyon Dam, Canyon Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -10,28.5 ], [ -10,30.5 ], [ -97,30.5 ], [ -97,28.5 ], [ -10,28.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b908de4b08c986b319584","contributors":{"authors":[{"text":"Bumgarner, Johnathan R. jbumgarner@usgs.gov","contributorId":5378,"corporation":false,"usgs":true,"family":"Bumgarner","given":"Johnathan","email":"jbumgarner@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":462973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Florence E. fethomps@usgs.gov","contributorId":3612,"corporation":false,"usgs":true,"family":"Thompson","given":"Florence","email":"fethomps@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462972,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037928,"text":"sim3198 - 2012 - Methods for noninvasive bathymetric and velocity surveys for impoundment safety--A case study of Herrington Lake at Dix Dam near Burgin, Kentucky","interactions":[],"lastModifiedDate":"2012-04-30T16:43:33","indexId":"sim3198","displayToPublicDate":"2012-03-30T00:00:00","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":"3198","title":"Methods for noninvasive bathymetric and velocity surveys for impoundment safety--A case study of Herrington Lake at Dix Dam near Burgin, Kentucky","docAbstract":"The U.S. Geological Survey (USGS) created bathymetric-contour and water-velocity vector maps for portions of Lake Herrington within 600 feet of the face of Dix Dam near Burgin, Kentucky. The mapping was in support of a study of noninvasive acoustic technology for assessing structural integrity of dams, both as a routine inspection tool or as an emergency tool during hydrologic events, such as high water or flooding. In April 2010, scientists from the USGS used a boat-mounted transducer and echo sounder to obtain bathymetric data to characterize lakebed relief and sediment distribution under a closed-intake condition. Also in April 2010, an acoustic Doppler current profiler was employed to measure water velocity and flow direction in the lake to locate velocities moving toward the dam face and, possibly, dam leakage. \r\nThe bathymetric survey showed the present condition of fill in the reservoir since the dam was completed, as well as provided an outline of the lake floor. The velocity survey indicated no discernible flow pattern or direction within the study area; only one transect had shown a difference from the others that was noticeable. The noninvasive acoustic bathymetric and velocity surveys used during the case study showed promise in locating potential dam or intake maintenance areas. Additional case studies throughout the Nation are needed to more clearly define whether the methods for noninvasive bathymetric and velocity surveys for dam safety will be successful in a variety of settings.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3198","collaboration":"Prepared in cooperation with the Kentucky Utilities Company","usgsCitation":"Ruby, A.T., 2012, Methods for noninvasive bathymetric and velocity surveys for impoundment safety--A case study of Herrington Lake at Dix Dam near Burgin, Kentucky: U.S. Geological Survey Scientific Investigations Map 3198, 1 Sheet; Sheet 1: 32 inches x 26 inches, https://doi.org/10.3133/sim3198.","productDescription":"1 Sheet; Sheet 1: 32 inches x 26 inches","temporalStart":"2010-04-06","temporalEnd":"2010-04-08","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":246889,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3198.gif"},{"id":246885,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3198/","linkFileType":{"id":5,"text":"html"}}],"projection":"Lambert Conformal Conic Projection NAD83","country":"United States","state":"Kentucky","city":"Burgin","otherGeospatial":"Herrington Lake;Dix Dam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.76666666666667,37.733333333333334 ], [ -84.76666666666667,37.833333333333336 ], [ -84.65,37.833333333333336 ], [ -84.65,37.733333333333334 ], [ -84.76666666666667,37.733333333333334 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a55c5e4b0c8380cd6d29e","contributors":{"authors":[{"text":"Ruby, A. Thomas III","contributorId":48270,"corporation":false,"usgs":true,"family":"Ruby","given":"A.","suffix":"III","email":"","middleInitial":"Thomas","affiliations":[],"preferred":false,"id":463068,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037920,"text":"sir20115178 - 2012 - Physical habitat, water quality, and riverine biological assemblages of selected reaches of the Sheyenne River, North Dakota, 2010","interactions":[],"lastModifiedDate":"2017-10-14T11:30:41","indexId":"sir20115178","displayToPublicDate":"2012-03-30T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5178","title":"Physical habitat, water quality, and riverine biological assemblages of selected reaches of the Sheyenne River, North Dakota, 2010","docAbstract":"In 2010, data on physical habitat, water quality, and riverine biological assemblages were collected at selected reaches in four locations (Kleven, Sheyenne, Cooperstown, and West Fargo) on the Sheyenne River in east-central North Dakota. Three of the locations (Kleven, Sheyenne, and Cooperstown) are above Baldhill Dam and one location (West Fargo) is below Baldhill Dam on the Sheyenne River. The 2010 data provide information to establish a better understanding of the water-quality and ecological conditions of the Sheyenne River. Concerns were raised about the water-quality and ecological conditions of the Sheyenne River because of the interbasin transfer of water from nearby Devils Lake. The transfer of water from Devils Lake to the Sheyenne River occurs through the Devils Lake State Outlet near Peterson Coulee or, if lake elevations exceed 1,459 feet above National Geodetic Vertical Datum of 1929 (NGVD 29), through a natural outlet, Tolna Coulee. The field measurements of water-quality characteristics and results of chemical analyses generally are comparable to summary statistics calculated for Sheyenne River for 1980 through 2006. Overall, water-quality results show differences between the Kleven, Sheyenne, Cooperstown, and West Fargo reaches. Sulfate concentrations were less than the State of North Dakota criterion of 750 milligrams per liter for the upper Sheyenne River above Baldhill Dam and less than the criterion of 450 milligrams per liter for the lower Sheyenne River below Baldhill Dam. Arsenic concentrations at most reaches exceeded the U.S. Environmental Protection Agency drinking-water standard of 10 micrograms per liter. Nutrient concentrations (nitrogen, phosphorus) were higher in the upper Sheyenne River above Baldhill Dam than below Baldhill Dam where concentrations decreased by about half. In 2010, 35 families and 44 genera of benthic macroinvertebrates were collected and identified. On the basis of the index of biotic intergrity scores for benthic macroinvertebrate communities present in the Sheyenne River, all the reaches were determined to have condition classes of moderately disturbed to most disturbed. The benthic macroinvertebrate communities at the Cooperstown reaches were classed as moderately disturbed, whereas benthic macroinvertebrate communities at the Kleven, Sheyenne, West and Fargo reaches were most disturbed. During data collection, 37 genera and 165 species of periphyton (diatoms and soft-bodied algae) were collected and identified. In periphyton communities, similar taxa species were dominant in the Kleven, Sheyenne, and Cooperstown reaches, and different taxa species were dominant in the West Fargo reaches. For diatoms, the Kleven 3 reach had the lowest species richness value of 33.0, whereas the Cooperstown 8 reach had the highest species richness value of 57.0. For soft-bodied algae, the species richness values ranged from 8.0 at the Sheyenne 4 reach to 20.0 at the West Fargo 10 reach. During the fish collection, 32 species, representing 10 families, were collected in the Sheyenne River. All but two species are native to the Sheyenne River system. Common carp and white crappie are the two introduced species. Of the 32 species, 29 are tolerant to moderately tolerant to changes in water quality and habitat degradation, 16 species are tolerant to moderately tolerant to turbidity, and 16 species are tolerant to moderately tolerant to sensitivity to total dissolved solids, sulfate, and chloride. All fish species were categorized into four trophic groups. The largest group of 19 species was the insectivores (both benthic and general). The predator group consisted of seven species, and the omnivores consisted of six species. More fish were found in the lower Sheyenne River below Baldhill Dam than in the upper Sheyenne River above Baldhill Dam.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115178","collaboration":"Prepared in cooperation with North Dakota State Water Commission","usgsCitation":"Lundgren, R.F., Rowland, K.M., and Lindsay, M.J., 2012, Physical habitat, water quality, and riverine biological assemblages of selected reaches of the Sheyenne River, North Dakota, 2010: U.S. Geological Survey Scientific Investigations Report 2011-5178, v, 19 p.; Appendices, https://doi.org/10.3133/sir20115178.","productDescription":"v, 19 p.; Appendices","onlineOnly":"Y","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":246887,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5178.gif"},{"id":246886,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5178/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Dakota","city":"Flora;Bremen;Cooperstown;West Fargo","otherGeospatial":"Sheyenne River;Devils Lake;Kleven Reaches","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7aafe4b0c8380cd79037","contributors":{"authors":[{"text":"Lundgren, Robert F. 0000-0001-7669-0552 rflundgr@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-0552","contributorId":1657,"corporation":false,"usgs":true,"family":"Lundgren","given":"Robert","email":"rflundgr@usgs.gov","middleInitial":"F.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowland, Kathleen M. 0000-0003-2526-6860 krowland@usgs.gov","orcid":"https://orcid.org/0000-0003-2526-6860","contributorId":1676,"corporation":false,"usgs":true,"family":"Rowland","given":"Kathleen","email":"krowland@usgs.gov","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindsay, Matthew J. mlindsay@usgs.gov","contributorId":4747,"corporation":false,"usgs":true,"family":"Lindsay","given":"Matthew","email":"mlindsay@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":463045,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037918,"text":"fs20123029 - 2012 - Assessment of undiscovered oil and gas resources of Papua-New Guinea, Eastern Indonesia, and East Timor, 2011","interactions":[],"lastModifiedDate":"2012-04-30T16:43:36","indexId":"fs20123029","displayToPublicDate":"2012-03-30T00:00:00","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":"2012-3029","title":"Assessment of undiscovered oil and gas resources of Papua-New Guinea, Eastern Indonesia, and East Timor, 2011","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated means of 5.8 billion barrels of oil and 115 trillion cubic feet of undiscovered natural gas in five geologic provinces in the areas of Papua New Guinea, eastern Indonesia, and East Timor.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123029","collaboration":"World Petroleum Resources Project","usgsCitation":"Schenk, C.J., Brownfield, M.E., Charpentier, R., Cook, T.A., Klett, T., Pitman, J.K., and Pollastro, R.M., 2012, Assessment of undiscovered oil and gas resources of Papua-New Guinea, Eastern Indonesia, and East Timor, 2011: U.S. Geological Survey Fact Sheet 2012-3029, 2 p., https://doi.org/10.3133/fs20123029.","productDescription":"2 p.","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":246888,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3029.gif"},{"id":246884,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3029/","linkFileType":{"id":5,"text":"html"}}],"country":"Papua New Guinea;Indonesia;East Timor","otherGeospatial":"Banda Arc;Bintuniâ€”Sulawati;Arafura Basinâ€”Irian Jaya;New Guinea Foreland Basin-fold Belt;Papuan Basin-shelf Platform","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 122,-13 ], [ 122,0 ], [ 148,0 ], [ 148,-13 ], [ 122,-13 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee77e4b0c8380cd49d83","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":463038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":463040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":463039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463042,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":709,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy R.","email":"tklett@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":463036,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":463037,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pollastro, Richard M.","contributorId":25100,"corporation":false,"usgs":true,"family":"Pollastro","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463041,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70037916,"text":"ofr20121052 - 2012 - Summary and evaluation of the quality of stormwater in Denver, Colorado, 2006-2010","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"ofr20121052","displayToPublicDate":"2012-03-29T00:00:00","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":"2012-1052","title":"Summary and evaluation of the quality of stormwater in Denver, Colorado, 2006-2010","docAbstract":"Stormwater in the Denver area was sampled by the U.S. Geological Survey, in cooperation with the Urban Drainage and Flood Control District, in a network of 5 monitoring stations - 3 on the South Platte River and 2 on streams tributary to the South Platte River, Sand Creek, and Toll Gate Creek beginning in January 2006 and continuing through December 2010. Stormwater samples were analyzed at the U.S. Geological Survey National Water Quality Laboratory during 2006-2010 for water-quality properties such as pH, specific conductance, hardness, and residue on evaporation at 105 degrees Celsius; for constituents such as major ions (calcium, magnesium), organic carbon and nutrients, including ammonia plus organic nitrogen, ammonia, dissolved nitrite plus nitrate, total phosphorus, and orthophosphate; and for metals, including total recoverable and dissolved phases of copper, lead, manganese, and zinc. Samples collected during selected storms were also analyzed for bacteriological indicators such as <i>Escherichia coli</i> and fecal coliform at the Metro Wastewater Reclamation Laboratory. About 200 stormwater samples collected during storms characterize the quality of storm runoff during 2006-2010. In general, the quality of stormwater (2006-2010) has improved for many water-quality constituents, many of which had lower values and concentrations than those in stormwater collected in 2002-2005. However, the physical basis, processes, and the role of dilution that account for these changes are complex and beyond the scope of this report. The water-quality sampling results indicate few exceptions to standards except for dissolved manganese, dissolved zinc, and <i>Escherichia coli</i>. Stormwater collected at the South Platte River below Union Avenue station had about 10 percent acute or chronic dissolved manganese exceedances in samples; samples collected at the South Platte River at Denver station had less than 5 percent acute or chronic dissolved manganese exceedances. In contrast, samples collected at Toll Gate Creek above 6th Avenue at Aurora station, Sand Creek at mouth near Commerce City station, and the South Platte River at Henderson station, each had about 30 to 50 percent exceedances of both acute and chronic dissolved manganese standards. Of the samples collected at Sand Creek at mouth near Commerce City, 1 sample exceeded the acute standard and 4 samples exceeded the chronic standard for dissolved zinc, but no samples collected from the other sites exceeded either standard for zinc. Almost all samples of stormwater analyzed for <i>Escherichia coli</i> exceeded Colorado numeric standards. A numerical standard for fecal coliform is no longer applicable as of 2004. Results from the 2002-2005 study indicated that the general quality of stormwater had improved during 2002-2005 compared to 1998-2001, having fewer exceedances of Colorado standards, and showing downward trends for many water-quality values and concentrations. These trends coincided with general downward or relatively similar mean streamflows for the 2002-2005 compared to 1998-2001, which indicates that dilution may be a smaller influence on values and concentrations than other factors. For this report, downward trends were indicated for many constituents at each station during 2006-2010 compared to 2002-2005. The trends for mean streamflow for 2006-2010 compared to 2002-2005 are upward at all sites except for the South Platte River at Henderson, indicating that dilution by larger flows could be a factor in the downward concentration trends. At the South Platte River below Union Avenue station, downward trends were indicated for hardness, dissolved ammonia, dissolved orthophosphate, and dissolved copper. Upward trends at South Platte River below Union Avenue were indicated for pH. At the South Platte River at Denver station, downward trends were indicated for total ammonia plus organic nitrogen, dissolved ammonia, dissolved nitrite plus nitrate, dissolved orthophosphate, total phosphorus, dissolved organic carbon, and dissolved lead, manganese, and zinc, and total recoverable zinc. An upward trend in properties and constituents at South Platte River at Denver was indicated for pH. At Toll Gate Creek above 6th Avenue at Aurora, downward trends were indicated for residue on evaporation, total ammonia plus organic nitrogen, dissolved ammonia, dissolved orthophosphate, total phosphorus, and total recoverable copper, lead, manganese, and zinc. Upward trends in properties and constituents at Toll Gate Creek above 6th Avenue at Aurora were indicated for pH, specific conductance, and dissolved nitrite plus nitrate. At Sand Creek at mouth near Commerce City, downward trends were indicated for hardness, dissolved calcium, total ammonia plus organic nitrogen, and dissolved ammonia, orthophosphate, manganese, and zinc. An upward trend in properties and constituents at Sand Creek at mouth near Commerce City was indicated for pH. Downward trends at South Platte River at Henderson were indicated for specific conductance, hardness, dissolved magnesium, residue on evaporation, total ammonia plus organic nitrogen, dissolved ammonia, dissolved nitrite plus nitrate, dissolved orthophosphate, total phosphorus, dissolved lead and manganese, and total recoverable copper, lead, manganese, and zinc.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121052","collaboration":"Prepared in cooperation with the Urban Drainage and Flood Control District","usgsCitation":"Stevens, M.R., and Slaughter, C.B., 2012, Summary and evaluation of the quality of stormwater in Denver, Colorado, 2006-2010: U.S. Geological Survey Open-File Report 2012-1052, vi, 68 p.; Appendix, https://doi.org/10.3133/ofr20121052.","productDescription":"vi, 68 p.; Appendix","temporalStart":"2006-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":246881,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1052.gif"},{"id":246875,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1052/","linkFileType":{"id":5,"text":"html"}}],"datum":"North American Datum 1983","country":"United States","state":"Colorado","county":"Adams;Arapahoe;Boulder;Denver;Douglas;Jefferson","city":"Denver","otherGeospatial":"South Platte River;Sand Creek;Toll Gate Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.33333333333333,39.5 ], [ -105.33333333333333,40.166666666666664 ], [ -104.5,40.166666666666664 ], [ -104.5,39.5 ], [ -105.33333333333333,39.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9e0ce4b08c986b31dc64","contributors":{"authors":[{"text":"Stevens, Michael R. 0000-0002-9476-6335 mrsteven@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6335","contributorId":769,"corporation":false,"usgs":true,"family":"Stevens","given":"Michael","email":"mrsteven@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slaughter, Cecil B.","contributorId":82005,"corporation":false,"usgs":true,"family":"Slaughter","given":"Cecil","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":463031,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037914,"text":"ofr20121057 - 2012 - Time scales of change in chemical and biological parameters after engineered levee breaches adjacent to Upper Klamath and Agency Lakes, Oregon","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"ofr20121057","displayToPublicDate":"2012-03-29T00:00:00","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":"2012-1057","title":"Time scales of change in chemical and biological parameters after engineered levee breaches adjacent to Upper Klamath and Agency Lakes, Oregon","docAbstract":"Eight sampling trips were coordinated after engineered levee breaches hydrologically reconnected both Upper Klamath Lake and Agency Lake, Oregon, to adjacent wetlands. The reconnection, by a series of explosive blasts, was coordinated by The Nature Conservancy to reclaim wetlands that had for approximately seven decades been leveed for crop production. Sets of nonmetallic porewater profilers (U.S. Patent 8,051,727 B1; November 8, 2011; http://www.uspto.gov/web/patents/patog/ week45/OG/html/1372-2/US08051727-20111108.html.) were deployed during these trips in November 2007, June 2008, May 2009, July 2009, May 2010, August 2010, June 2011, and July 2011 (table 1). Deployments temporally spanned the annual cyanophyte bloom of <i>Aphanizomenon flos-aquae</i> and spatially involved three lake and four wetland sites. Spatial and temporal variation in solute benthic flux was determined by the field team, using the profilers, over an approximately 4-year period beginning 3 days after the levee breaches. The highest flux to the water column of dissolved organic carbon (DOC) was detected in the newly flooded wetland, contrasting negative or insignificant DOC fluxes at adjacent lake sites. Over the multiyear study, DOC benthic fluxes dissipated in the reconnected wetlands, converging to values similar to those for established wetlands and to the adjacent lake (table 2). In contrast to DOC, benthic sources of soluble reactive phosphorus, ammonium, dissolved iron and manganese from within the reconnected wetlands were consistently elevated (that is, significant in magnitude relative to riverine and established-wetland sources) indicating a multi-year time scale for certain chemical changes after the levee breaches (table 2). Colonization of the reconnected wetlands by aquatic benthic invertebrates during the study trended toward the assemblages in established wetlands, providing further evidence of a multiyear transition of this area to permanent aquatic habitat (table 3). Both the lake and wetland benthic environments substantively contribute to macro- and micronutrients in the water column. Wetland areas undergoing restoration, and those being used for water storage, function very differently relatively to the established wetland within the Upper Klamath Lake National Wildlife Refuge, adjacent Upper Klamath Lake. Developing long-term management strategies for water quality in the Upper Klamath Basin requires recognition of the multi-year time scales associated with restoring wetlands that provide natural, seasonal ecosystem function and services.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121057","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Kuwabara, J.S., Topping, B.R., Carter, J.L., Wood, T.M., Parcheso, F., Cameron, J.M., Asbill, J.R., Carlson, R.A., and Fend, S.V., 2012, Time scales of change in chemical and biological parameters after engineered levee breaches adjacent to Upper Klamath and Agency Lakes, Oregon: U.S. Geological Survey Open-File Report 2012-1057, iv, 26 p.; Tables 1-8 Download, https://doi.org/10.3133/ofr20121057.","productDescription":"iv, 26 p.; Tables 1-8 Download","onlineOnly":"Y","temporalStart":"2007-11-01","temporalEnd":"2011-07-31","costCenters":[{"id":340,"text":"Hydrologic Research and Development Program","active":false,"usgs":true}],"links":[{"id":246869,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1057/","linkFileType":{"id":5,"text":"html"}},{"id":246873,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1057.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake;Agency Lake;Wood River;Spring Creek;Williamson River;Sprague River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.16666666666667,42.166666666666664 ], [ -122.16666666666667,42.75 ], [ -121.66666666666667,42.75 ], [ -121.66666666666667,42.166666666666664 ], [ -122.16666666666667,42.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb3ace4b08c986b325f2a","contributors":{"authors":[{"text":"Kuwabara, James S. 0000-0003-2502-1601 kuwabara@usgs.gov","orcid":"https://orcid.org/0000-0003-2502-1601","contributorId":3374,"corporation":false,"usgs":true,"family":"Kuwabara","given":"James","email":"kuwabara@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":463024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, Brent R. 0000-0002-7887-4221 btopping@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-4221","contributorId":1484,"corporation":false,"usgs":true,"family":"Topping","given":"Brent","email":"btopping@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":463021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, James L. 0000-0002-0104-9776 jlcarter@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-9776","contributorId":3278,"corporation":false,"usgs":true,"family":"Carter","given":"James","email":"jlcarter@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":463023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wood, Tamara M. 0000-0001-6057-8080 tmwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6057-8080","contributorId":1164,"corporation":false,"usgs":true,"family":"Wood","given":"Tamara","email":"tmwood@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parcheso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":2590,"corporation":false,"usgs":true,"family":"Parcheso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":463022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cameron, Jason M.","contributorId":71289,"corporation":false,"usgs":true,"family":"Cameron","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463028,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Asbill, Jessica R.","contributorId":39896,"corporation":false,"usgs":true,"family":"Asbill","given":"Jessica","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":463027,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carlson, Rick A.","contributorId":7542,"corporation":false,"usgs":true,"family":"Carlson","given":"Rick","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463026,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fend, Steven V. 0000-0002-4638-6602 svfend@usgs.gov","orcid":"https://orcid.org/0000-0002-4638-6602","contributorId":3591,"corporation":false,"usgs":true,"family":"Fend","given":"Steven","email":"svfend@usgs.gov","middleInitial":"V.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":463025,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70037915,"text":"sir20125004 - 2012 - Dependence of flow and transport through the Williamson River Delta, Upper Klamath Lake, Oregon, on wind, river inflow, and lake elevation","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"sir20125004","displayToPublicDate":"2012-03-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5004","title":"Dependence of flow and transport through the Williamson River Delta, Upper Klamath Lake, Oregon, on wind, river inflow, and lake elevation","docAbstract":"The hydrodynamic model of Upper Klamath and Agency Lakes, Oregon, was used to run 384 realizations of a numerical tracer experiment in order to understand the relative effects of wind, lake elevation, and Williamson River inflow on flow and transport (the movement of water and passively transported constituents) through the Williamson River Delta. Significant findings from this study include: * The replacement rate of water increased in Tulana and Goose Bay with increasing lake elevation, Williamson River inflow, and wind speed. * The fraction of Williamson River inflow passing through either side of the Delta increased with lake elevation and Williamson River inflow. * The partial replacement rate of water in Goose Bay with water from the Williamson River increased with wind speed. * The partial replacement rate of water in Tulana with water from the Williamson River decreased with wind speed. * Strong wind forcing at the water surface caused more of the Williamson River inflow to pass through Goose Bay than through Tulana. * Westerly to northwesterly winds result in more of the Williamson River inflow passing through the Goose Bay side of the Delta than through the Tulana side. * Regression models developed from the tracer experiments can be used to quantify the dependencies between transport and the independent variables to obtain rough estimates of useful quantities such as residence time and steady-state solute concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125004","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Wood, T.M., 2012, Dependence of flow and transport through the Williamson River Delta, Upper Klamath Lake, Oregon, on wind, river inflow, and lake elevation: U.S. Geological Survey Scientific Investigations Report 2012-5004, vi, 30 p.; Appendix; Download Directory; Animation Downloads, https://doi.org/10.3133/sir20125004.","productDescription":"vi, 30 p.; Appendix; Download Directory; Animation Downloads","onlineOnly":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":246874,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5004.jpg"},{"id":246870,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5004/","linkFileType":{"id":5,"text":"html"}}],"projection":"UTM, Zone 10N","datum":"North American Datum 1927","country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake;Williamson River Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.16666666666667,42.083333333333336 ], [ -122.16666666666667,42.666666666666664 ], [ -121.58333333333333,42.666666666666664 ], [ -121.58333333333333,42.083333333333336 ], [ -122.16666666666667,42.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059feafe4b0c8380cd4ee7d","contributors":{"authors":[{"text":"Wood, Tamara M. 0000-0001-6057-8080 tmwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6057-8080","contributorId":1164,"corporation":false,"usgs":true,"family":"Wood","given":"Tamara","email":"tmwood@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463029,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037913,"text":"fs20123031 - 2012 - Assessment of undiscovered oil and gas resources in the Paradox Basin Province, Utah, Colorado, New Mexico, and Arizona, 2011","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"fs20123031","displayToPublicDate":"2012-03-29T00:00:00","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":"2012-3031","title":"Assessment of undiscovered oil and gas resources in the Paradox Basin Province, Utah, Colorado, New Mexico, and Arizona, 2011","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated means of 560 million barrels of undiscovered oil, 12,701 billion cubic feet of undiscovered natural gas, and 490 million barrels of undiscovered natural gas liquids in the Paradox Basin of Utah, Colorado, New Mexico, and Arizona.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123031","collaboration":"National Assessment of Oil and Gas","usgsCitation":"Whidden, K.J., 2012, Assessment of undiscovered oil and gas resources in the Paradox Basin Province, Utah, Colorado, New Mexico, and Arizona, 2011: U.S. Geological Survey Fact Sheet 2012-3031, 4 p., https://doi.org/10.3133/fs20123031.","productDescription":"4 p.","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":246867,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3031/","linkFileType":{"id":5,"text":"html"}},{"id":246872,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3031.gif"}],"country":"United States","state":"Arizona;Colorado;Idaho;Montana;Nevada;New Mexico;Wyoming","otherGeospatial":"Paradox Basin Province","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119,35 ], [ -119,48 ], [ -105,48 ], [ -105,35 ], [ -119,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee77e4b0c8380cd49d7f","contributors":{"authors":[{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":463019,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037912,"text":"fs20123044 - 2012 - Famous building stones of our Nation's capital","interactions":[],"lastModifiedDate":"2014-05-12T09:59:13","indexId":"fs20123044","displayToPublicDate":"2012-03-29T00:00:00","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":"2012-3044","title":"Famous building stones of our Nation's capital","docAbstract":"The buildings of our Nation's Capital are constructed with rocks from quarries located throughout the United States and many distant lands. The earliest Government buildings, however, were constructed with stones from nearby sources because it was too difficult and expensive to move heavy materials such as stone any great distance without the aid of modern transportation methods, including large cargo ships, trains, and trucks. This fact sheet describes the source and appearance of three frequently used local stones employed in building Washington, D.C., and the geologic environment in which they were formed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123044","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2012, Famous building stones of our Nation's capital: U.S. Geological Survey Fact Sheet 2012-3044, 2 p., https://doi.org/10.3133/fs20123044.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"links":[{"id":246866,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3044/","linkFileType":{"id":5,"text":"html"}},{"id":246871,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3044.gif"},{"id":287048,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3044/pdf/fs2012-3044_rev432012.pdf"}],"country":"United States","otherGeospatial":"Washington D.C.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0ef7e4b0c8380cd536cd","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535168,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037908,"text":"ds682 - 2012 - Thermal profiles for selected river reaches of the Methow and Chewuch Rivers, Washington, August 2011","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"ds682","displayToPublicDate":"2012-03-28T11:24:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"682","title":"Thermal profiles for selected river reaches of the Methow and Chewuch Rivers, Washington, August 2011","docAbstract":"Longitudinal profiles of near-streambed and near-surface temperatures were collected for selected reaches of the Methow and Chewuch Rivers, Washington, during August 2011 to facilitate development of a stream temperature model near the confluence of the Methow and Chewuch Rivers. Temperature was measured using a probe with an internal datalogger towed behind a watercraft moving downstream at ambient river velocity. For the Methow River, an additional temperature survey was completed using near-streambed and near-surface probes towed behind a second watercraft that traversed the channel to measure vertical and lateral temperature variability. All data were referenced to location that was concurrently measured with a Global Positioning System. Data are presented as Microsoft Excel&#174; files consisting of date and time, water temperature, and Washington State Plane North easting and northing.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds682","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Gendaszek, A.S., 2012, Thermal profiles for selected river reaches of the Methow and Chewuch Rivers, Washington, August 2011: U.S. Geological Survey Data Series 682, iv, 4 p.; Tables Download, https://doi.org/10.3133/ds682.","productDescription":"iv, 4 p.; Tables Download","additionalOnlineFiles":"Y","temporalStart":"2011-08-01","temporalEnd":"2011-08-31","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":246864,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_682.jpg"},{"id":246861,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/682/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","otherGeospatial":"Methow River;Chewuch River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.20027777777779,48.43416666666666 ], [ -120.20027777777779,48.483333333333334 ], [ -120.13444444444445,48.483333333333334 ], [ -120.13444444444445,48.43416666666666 ], [ -120.20027777777779,48.43416666666666 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb250e4b08c986b325709","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463017,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037945,"text":"70037945 - 2012 - Primer for identifying cold-water refuges to protect and restore thermal diversity in riverine landscapes","interactions":[],"lastModifiedDate":"2019-06-11T12:05:23","indexId":"70037945","displayToPublicDate":"2012-03-28T11:10:30","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Primer for identifying cold-water refuges to protect and restore thermal diversity in riverine landscapes","docAbstract":"<p>In 2003, EPA issued Region 10 guidance for Pacific Northwest state and tribal temperature water quality standards. This document was the culmination of a multi-agency, multi-disciplinary effort to develop a temperature standard for the protection of salmon, steelhead, bull trout, and redband and Lahontan cutthroat trout (collectively termed coldwater salmonids). Since its release, the Oregon and Washington have adopted the temperature standard for their waters designated for protection of coldwater salmonids. One of the unique aspects of the temperature standard, which strived to integrate the physical nature of rivers and streams and the biological requirements of coldwater salmonids, is the requirement to protect and restore cold-water refuges. This requirement is incorporated into the temperature criterion for the protection of migration corridors in the Willamette, Columbia, and Snake rivers. The intent of this provision is the recognition that some coldwater salmonids migrate through waters during thermally stressful months of summer and most likely are able to do so by using features in the rivers that provide cold water spatially or temporally. The challenge is to ensure that these features are identified, protected, and restored in order for these waters to meet the temperature standard. This primer is intended to assist Region 10 states, tribes, and local watershed groups in meeting this goal and thereby further the protection and restoration of coldwater salmonids. It provides an up-to-date summary with easily referenced information and illustrations on the scientific advances and management applications of research on cold-water refuges and can be used as a \"roadmap\" for identifying cold-water refuges and learning more about processes that create thermal diversity in riverine landscapes. The specific objectives are to </p><p>1. define cold-water refuge in scientific and management contexts.</p><p>2. outline an approach for identifying cold-water refuges to address water quality standards.</p><p>3. classify and characterize the types and physical processes that create cold-water refuges.</p><p>4. review methods and tools for identifying cold-water refuges in small streams to large rivers.</p><p>5. describe ecological perspectives and on-the-ground approaches for protecting and restoring thermal diversity in rivers.</p>","publisherLocation":"Seattle, WA","usgsCitation":"Torgersen, C.E., Ebersole, J.L., and Keenan, D., 2012, Primer for identifying cold-water refuges to protect and restore thermal diversity in riverine landscapes, 91 p.","productDescription":"91 p.","ipdsId":"IP-035347","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science 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D.M.","contributorId":43732,"corporation":false,"usgs":true,"family":"Keenan","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":764097,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037907,"text":"ds671 - 2012 - Archive of side scan sonar and swath bathymetry data collected during USGS cruise 10CCT03 offshore of the Gulf Islands National Seashore, Mississippi, from East Ship Island, Mississippi, to Dauphin Island, Alabama, April 2010","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"ds671","displayToPublicDate":"2012-03-28T10:50:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"671","title":"Archive of side scan sonar and swath bathymetry data collected during USGS cruise 10CCT03 offshore of the Gulf Islands National Seashore, Mississippi, from East Ship Island, Mississippi, to Dauphin Island, Alabama, April 2010","docAbstract":"<p>In April of 2010, the U.S. Geological Survey (USGS) conducted a geophysical survey from the east end of East Ship Island, Miss., extending to the middle of Dauphin Island, Ala. (fig. 1).  This survey had a dual purpose: (1) to interlink previously conducted nearshore geophysical surveys (shoreline to ~2 km) with those of offshore surveys (~2 to ~9 km) in the area, and (2) to extend the geophysical survey to include a portion of the Dauphin Island nearshore zone.  The efforts were part of the USGS Gulf of Mexico Science Coordination partnership with the U.S. Army Corps of Engineers (USACE) to assist the Mississippi Coastal Improvements Program (MsCIP) and the Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazards Susceptibility Project by mapping the shallow geological stratigraphic framework of the Mississippi Barrier Island Complex. These geophysical surveys will provide the data necessary for scientists to define, interpret, and provide baseline bathymetry and seafloor habitat for this area and to aid scientists in predicting future geomorpholocial changes of the islands with respect to climate change, storm impact, and sea-level rise. Furthermore, these data will provide information for barrier island restoration feasibility, particularly in Camille Cut, and efforts for the preservation of historical Fort Massachusetts. For more information refer to http://ngom.usgs.gov/gomsc/mscip/.</p>\n<p>This report serves as an archive of the processed multibeam bathymetry and side scan sonar (SSS) data. Data products herein include gridded and interpolated digital depth surfaces, seabed surface backscatter imagery, and x,y,z data products for both multibeam bathymetry and side scan sonar imagery. Additional files include trackline maps, navigation files, geograpahic information system (GIS) files, Field Activity Collection System (FACS) logs, and formal Federal Geographic Data Committee (FGDC) metadata. Scanned images of the handwritten FACS logs and digital FACS logs are also provided as PDF files. Refer to the Acronyms page for description of acronyms and abbreviations used in this report or hold the cursor over an acronym for a pop-up explanation.</p>\n<p>The USGS St. Petersburg Coastal and Marine Science Center assigns a unique identifier to each cruise or field activity. For example, 10CCT03 tells us the data were collected in 2010 for the Coastal Change and Transport (CCT) study and the data were collected during the third (03) field activity for that project in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the field activity ID.</p>\n<p>Data were collected aboard the U.S. Army Corps of Engineers (USACE) <i>SV Irvington</i>, a 56-foot (ft) Kvichak Marine Industries, Inc., catamaran (fig. 2). Side scan sonar and multibeam bathymetry data were collected simultaneously along the tracklines. The side scan sonar towfish was towed off the starboard side just slightly behind the vessel, close to the seafloor. The multibeam transducer was attached to a retractable strut-arm lowered between the catamaran hulls. Navigation was acquired with an Applanix POS MV and differentially corrected using the broadcast signal from a local National Geodetic Survey (NGS) Continuously Operating Reference Station (CORS) beacon.  See the digital FACS equipment log for details about the acquisition equipment used. Raw datasets were stored digitally and processed using HYPACK Inc., HYSWEEP software at the USACE Mobile, Ala., District office.  For more information on processing refer to the Equipment and Processing page.  Chirp seismic data were also collected during this survey and are archived separately.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds671","collaboration":"Prepared in cooperation with Jacobs Technology, Inc. and the U.S. Army Corps of Engineers","usgsCitation":"DeWitt, N.T., Flocks, J.G., Pfeiffer, W.R., Gibson, J.N., and Wiese, D.S., 2012, Archive of side scan sonar and swath bathymetry data collected during USGS cruise 10CCT03 offshore of the Gulf Islands National Seashore, Mississippi, from East Ship Island, Mississippi, to Dauphin Island, Alabama, April 2010: U.S. Geological Survey Data Series 671, HTML document; Data download; Metadata download, https://doi.org/10.3133/ds671.","productDescription":"HTML document; Data download; Metadata download","temporalStart":"2010-04-01","temporalEnd":"2010-04-30","costCenters":[],"links":[{"id":246865,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_671.jpg"},{"id":246860,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/671/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Gulf Islands National Seashore","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ed4ae4b0c8380cd4970b","contributors":{"authors":[{"text":"DeWitt, Nancy T. 0000-0002-2419-4087 ndewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2419-4087","contributorId":4095,"corporation":false,"usgs":true,"family":"DeWitt","given":"Nancy","email":"ndewitt@usgs.gov","middleInitial":"T.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pfeiffer, William R. wpfeiffer@usgs.gov","contributorId":3725,"corporation":false,"usgs":true,"family":"Pfeiffer","given":"William","email":"wpfeiffer@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":463014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibson, James N.","contributorId":51142,"corporation":false,"usgs":true,"family":"Gibson","given":"James","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":463016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463013,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037906,"text":"ds666 - 2012 - Hydrologic, vegetation, and soil data collected in selected wetlands of the Big River Management area, Rhode Island, from 2008 through 2010","interactions":[],"lastModifiedDate":"2018-07-26T08:37:29","indexId":"ds666","displayToPublicDate":"2012-03-28T10:27:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"666","title":"Hydrologic, vegetation, and soil data collected in selected wetlands of the Big River Management area, Rhode Island, from 2008 through 2010","docAbstract":"The Rhode Island Water Resources Board planned to develop public water-supply wells in the Big River Management Area in Kent County, Rhode Island. Research in the United States and abroad indicates that groundwater withdrawal has the potential to affect wetland hydrology and related processes. In May 2008, the Rhode Island Water Resources Board, the U.S. Geological Survey, and the University of Rhode Island formed a partnership to establish baseline conditions at selected Big River wetland study sites and to develop an approach for monitoring potential impacts once pumping begins. In 2008 and 2009, baseline data were collected on the hydrology, vegetation, and soil characteristics at five forested wetland study sites in the Big River Management Area. Four of the sites were located in areas of potential drawdown associated with the projected withdrawals. The fifth site was located outside the area of projected drawdown and served as a control site. The data collected during this study are presented in this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds666","collaboration":"Prepared in cooperation with the Rhode Island Water Resources Board","usgsCitation":"Borenstein, M.S., Golet, F.C., Armstrong, D.S., Breault, R., McCobb, T.D., and Weiskel, P.K., 2012, Hydrologic, vegetation, and soil data collected in selected wetlands of the Big River Management area, Rhode Island, from 2008 through 2010: U.S. Geological Survey Data Series 666, vi, 8 p.; Figures; Tables Download, https://doi.org/10.3133/ds666.","productDescription":"vi, 8 p.; Figures; Tables Download","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":246863,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_666.gif"},{"id":246859,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/ds666/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Rhode Island","otherGeospatial":"Big River Management Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.7,41.56777777777778 ], [ -71.7,41.7 ], [ -71.55,41.7 ], [ -71.55,41.56777777777778 ], [ -71.7,41.56777777777778 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a369fe4b0c8380cd60867","contributors":{"authors":[{"text":"Borenstein, Meredith S.","contributorId":25020,"corporation":false,"usgs":true,"family":"Borenstein","given":"Meredith","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":463010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golet, Francis C.","contributorId":83771,"corporation":false,"usgs":true,"family":"Golet","given":"Francis","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":463011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Armstrong, David S. 0000-0003-1695-1233 darmstro@usgs.gov","orcid":"https://orcid.org/0000-0003-1695-1233","contributorId":1390,"corporation":false,"usgs":true,"family":"Armstrong","given":"David","email":"darmstro@usgs.gov","middleInitial":"S.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breault, Robert F. 0000-0002-2517-407X rbreault@usgs.gov","orcid":"https://orcid.org/0000-0002-2517-407X","contributorId":2219,"corporation":false,"usgs":true,"family":"Breault","given":"Robert F.","email":"rbreault@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCobb, Timothy D. 0000-0003-1533-847X tmccobb@usgs.gov","orcid":"https://orcid.org/0000-0003-1533-847X","contributorId":2012,"corporation":false,"usgs":true,"family":"McCobb","given":"Timothy","email":"tmccobb@usgs.gov","middleInitial":"D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463008,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weiskel, Peter K. pweiskel@usgs.gov","contributorId":1099,"corporation":false,"usgs":true,"family":"Weiskel","given":"Peter","email":"pweiskel@usgs.gov","middleInitial":"K.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463006,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037901,"text":"70037901 - 2012 - Sylvatic plague vaccine: combating plague in prairie dogs and black-footed ferrets","interactions":[],"lastModifiedDate":"2018-06-19T15:36:07","indexId":"70037901","displayToPublicDate":"2012-03-28T09:56:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3587,"text":"The Wildlife Professional","active":true,"publicationSubtype":{"id":10}},"title":"Sylvatic plague vaccine: combating plague in prairie dogs and black-footed ferrets","docAbstract":"<p>After achieving promising results in laboratory trials, researchers at the USGS National Wildlife Health Center (NWHC) and University of Wisconsin at Madison will soon begin field testing a new oral vaccine for sylvatic plague, a devastating disease affecting prairie dogs and other mammals, particularly the endangered black-footed ferret. Our team has developed and is currently registering a sylvatic plague vaccine (SPV) that uses raccoon poxvirus (RCN) to express two key antigens of the Yersinia pestis bacterium, the causative agent of plague.</p>","language":"English","publisher":"The Wildlife Society","publisherLocation":"Bethesda, MD","usgsCitation":"Rocke, T.E., and Abbott, R.C., 2012, Sylvatic plague vaccine: combating plague in prairie dogs and black-footed ferrets: The Wildlife Professional, v. 6, no. 1, p. 50-53.","productDescription":"4 p.","startPage":"50","endPage":"53","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":246862,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba335e4b08c986b31fbfe","contributors":{"authors":[{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":462998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abbott, Rachel C. 0000-0003-4820-9295 rabbott@usgs.gov","orcid":"https://orcid.org/0000-0003-4820-9295","contributorId":1183,"corporation":false,"usgs":true,"family":"Abbott","given":"Rachel","email":"rabbott@usgs.gov","middleInitial":"C.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":462997,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037896,"text":"sir20125034 - 2012 - Comparison of two methods for estimating base flow in selected reaches of the South Platte River, Colorado","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"sir20125034","displayToPublicDate":"2012-03-28T09:11:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5034","title":"Comparison of two methods for estimating base flow in selected reaches of the South Platte River, Colorado","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Colorado Water Conservation Board, compared two methods for estimating base flow in three reaches of the South Platte River between Denver and Kersey, Colorado. The two methods compared in this study are the Mass Balance and the Pilot Point methods. Base-flow estimates made with the two methods were based upon a 54-year period of record (1950 to 2003).</p>\n<p>The Mass Balance method for estimating base flow is based on a mass balance of all known inflows to and outflows from a given stream reach, with the equation being solved for groundwater flow into or out of the reach. A positive mass balance indicates a gaining reach (base flow) and a negative balance indicates a losing reach. The mass balance was calculated using daily mean streamflow, wastewater treatment plant discharge, and stream diversion data. Monthly mean base flow was calculated as the average of all daily mean mass-balance results for a given month.</p>\n<p>The Pilot Point method is based on a daily mean mass balance of all inflows to and outflows from a stream reach. The Pilot Point differs from the Mass Balance method in that extreme daily mass-balance results are constrained utilizing two analytical solutions that represent the maximum possible streamflow gain or loss. Additionally, the Pilot Point method utilizes a smoothing function, based on a moving average of the daily constrained mass-balance results. The moving average for this study utilized a moving-average period, called the bin width, of 61 days. The maximum and minimum base-flow constraints and the smoothing function are utilized to provide base-flow estimates that exhibit reasonable maximum values and temporal variability consistent with the concept of groundwater flow being gradual and slow.</p>\n<p>Both the Mass Balance and Pilot Point results provided similar patterns in annual and monthly base flow. All three reaches were indicated to be gaining reaches, particularly after about 1970, with the magnitude of base flow increasing downstream. This degree of similarity between the two methods was expected because both methods are based on a streamflow mass balance. The magnitude of estimates provided by the two methods was measurably different. The stream gains and losses estimated using the Mass Balance method were consistently more variable and of greater magnitude than those estimated using the Pilot Point method. In the Denver to Henderson reach, the median estimated annual mean base flow was 34.0 cubic feet per second (ft<sup>3</sup>/s) using the Mass Balance method and was 39.1 ft<sup>3</sup>/s using the Pilot Point method. In the Henderson to Fort Lupton reach, the median estimated annual mean base flow was 50.0 ft<sup>3</sup>/s using the Mass Balance method and was 40.0 ft<sup>3</sup>/s using the Pilot Point method. In the Fort Lupton to Kersey reach, the median estimated annual mean base flow was 234 ft<sup>3</sup>/s using the Mass Balance method and was 214 ft<sup>3</sup>/s using the Pilot Point method.</p>\n<p>The Mass Balance results were quite variable over time such that they appeared suspect with respect to the concept of groundwater flow as being gradual and slow. The large degree of variability in the day-to-day and month-to-month Mass Balance results is likely the result of many factors. These factors could include ungaged stream inflows or outflows, short-term streamflow losses to and gains from temporary bank storage, and any lag in streamflow accounting owing to streamflow lag time of flow within a reach. The Pilot Point time series results were much less variable than the Mass Balance results and extreme values were effectively constrained. Less day-to-day variability, smaller magnitude extreme values, and smoother transitions in base-flow estimates provided by the Pilot Point method are more consistent with a conceptual model of groundwater flow being gradual and slow. The Pilot Point method provided a better fit to the conceptual model of groundwater flow and appeared to provide reasonable estimates of base flow.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125034","collaboration":"Prepared in cooperation with the Colorado Water Conservation Board","usgsCitation":"Capesius, J.P., and Arnold, L., 2012, Comparison of two methods for estimating base flow in selected reaches of the South Platte River, Colorado: U.S. Geological Survey Scientific Investigations Report 2012-5034, iv, 20 p., https://doi.org/10.3133/sir20125034.","productDescription":"iv, 20 p.","onlineOnly":"Y","temporalStart":"1950-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":246854,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5034.gif"},{"id":246852,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5034/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","otherGeospatial":"South Platte River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.58333333333333,39.583333333333336 ], [ -105.58333333333333,40.583333333333336 ], [ -104.41666666666667,40.583333333333336 ], [ -104.41666666666667,39.583333333333336 ], [ -105.58333333333333,39.583333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f8b8e4b0c8380cd4d25c","contributors":{"authors":[{"text":"Capesius, Joseph P. capesius@usgs.gov","contributorId":698,"corporation":false,"usgs":true,"family":"Capesius","given":"Joseph","email":"capesius@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":462990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arnold, L. Rick","contributorId":101613,"corporation":false,"usgs":true,"family":"Arnold","given":"L. Rick","affiliations":[],"preferred":false,"id":462991,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037899,"text":"sir20125029 - 2012 - Modification of selected South Carolina bridge-scour envelope curves","interactions":[],"lastModifiedDate":"2017-01-17T17:33:08","indexId":"sir20125029","displayToPublicDate":"2012-03-28T08:54:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5029","title":"Modification of selected South Carolina bridge-scour envelope curves","docAbstract":"Historic scour was investigated at 231 bridges in the Piedmont and Coastal Plain physiographic provinces of South Carolina by the U.S. Geological Survey in cooperation with the South Carolina Department of Transportation. These investigations led to the development of field-derived envelope curves that provided supplementary tools to assess the potential for scour at bridges in South Carolina for selected scour components that included clear-water abutment, contraction, and pier scour, and live-bed pier and contraction scour. The envelope curves consist of a single curve with one explanatory variable encompassing all of the measured field data for the respective scour components. In the current investigation, the clear-water abutment-scour and live-bed contraction-scour envelope curves were modified to include a family of curves that utilized two explanatory variables, providing a means to further refine the assessment of scour potential for those specific scour components. The modified envelope curves and guidance for their application are presented in this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125029","collaboration":"Prepared in cooperation with the South Carolina Department of Transportation","usgsCitation":"Benedict, S., and Caldwell, A.W., 2012, Modification of selected South Carolina bridge-scour envelope curves: U.S. Geological Survey Scientific Investigations Report 2012-5029, vi, 37 p., https://doi.org/10.3133/sir20125029.","productDescription":"vi, 37 p.","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":246856,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5029.jpg"},{"id":246851,"rank":100,"type":{"id":15,"text":"Index 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,{"id":70037898,"text":"sir20125039 - 2012 - Flooded area and plant zonation in isolated wetlands in well fields in the Northern Tampa Bay Region, Florida, following reductions in groundwater-withdrawal rates","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"sir20125039","displayToPublicDate":"2012-03-28T08:31:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5039","title":"Flooded area and plant zonation in isolated wetlands in well fields in the Northern Tampa Bay Region, Florida, following reductions in groundwater-withdrawal rates","docAbstract":"<p>The extent and duration of the flooded area were compared in two reference wetlands and nine wetlands in well fields in the northern Tampa Bay region, Florida, to determine whether reductions in well-field groundwater-withdrawal rates resulted in increases in wetland flooded area. Flooded area, expressed as a percentage of the total wetland area, was used to provide a quantitative and comparable line of evidence for describing the hydrologic conditions in isolated wetlands of different sizes and locations.</p>\n<p>Flooded-area frequencies were quantified for periods with different groundwater-withdrawal rates that bracket reductions in well-field groundwater withdrawals. Four-year pre-reduction and post-reduction periods were applied to wetlands in Cypress Creek and Cross Bar Ranch well fields, whereas 3-year periods were applied to wetlands in Starkey well field. The reduced groundwater-withdrawal rates in Cypress Creek and Cross Bar Ranch well fields were 30 and 24 percent less than their pre-reduction rates, respectively. The reduced groundwater-withdrawal rate in the Starkey well field was 64 percent less. Total rainfall amounts were similar (differed by 1 percent or less) in the respective pre- and post-reduction periods, which minimized the effect that rainfall variability had on the analysis. Flooded-area patterns at the reference wetlands, which were unaffected by groundwater withdrawals, were similar during pre- and post-reduction periods, indicating that short-term rainfall variability within those periods did not affect the longer-term patterns of flooded-area extent and duration.</p>\n<p>One well-field wetland (W-33) experienced an extent and duration of flooded area similar to that observed at the reference wetlands. About 61&ndash;100 percent of W-33 was flooded 41 percent of the time during the pre-reduction period and 45 percent of the time in the post-reduction period. The amount of time the wetland was dry decreased from 40 percent in the pre-reduction period to 26 percent in the post-reduction period. The median elevation of the potentiometric surface of the Upper Floridan aquifer increased beneath this wetland by about 4 feet after reductions in groundwater-withdrawal rates.</p>\n<p>Four well-field wetlands (W-17, W-56, Starkey N, and Starkey 108) had substantial increases in the extent and duration of the flooded area after reductions in groundwater-withdrawal rates. These four wetlands were dry for 25&ndash;45 percent less time during the post-reduction period, when the pre- and post-reduction periods were compared. Up to 20 percent of W-56 was flooded more than three times as long after reductions in groundwater-withdrawal rates. All parts of W-17 were flooded for as much as 10 percent of the time in the post-reduction period. Parts of Starkey N and Starkey 108 were flooded for more than twice as much time after reductions in groundwater-withdrawal rates. The median elevation of the potentiometric surface of the Upper Floridan aquifer was about 4&ndash;8 feet higher beneath W-17 and W-56 after reductions in groundwater-withdrawal rates, whereas the median elevation increased beneath Starkey N and Starkey 108 by about 4 feet after reductions in groundwater-withdrawal rates.</p>\n<p>Four other well-field wetlands (W-41, Q-1, Starkey D, and Starkey E) were mostly dry before reductions in groundwater-withdrawal rates and remained mostly dry after the reductions. W-41 was dry 23 percent less time in the post-reduction period, but most of the increase in flooded area was confined to less than 20 percent of the total wetland area. Q-1 was dry for only 12 percent less time in the post-reduction period. The median elevation of the potentiometric surface of the Upper Floridan aquifer increased beneath W-41 by about 5 feet and beneath Q-1 by about 2 feet after reductions in groundwater-withdrawal rates. The extent and duration of the flooded area was unchanged at Starkey D when the post-reduction period was compared to the pre-reduction period. At Starkey E the extent of the flooded area decreased slightly during the post-reduction period. Even though groundwater-withdrawal rates at Starkey well field decreased in the post-reduction period, the median elevation of the potentiometric surface of the Upper Floridan aquifer did not increase beneath Starkey D and Starkey E after reductions in groundwater-withdrawal rates from this well field. Factors such as the high permeability of sediments beneath the wetlands, subsidence, or sinkholes could contribute to continued downward leakage from these four wetlands and the lack of recovery of wetland water levels.</p>\n<p>Plant zonation in the two reference wetlands and the nine well-field wetlands was described using data collected by the Southwest Florida Water Management District and Tampa Bay Water, a regional utility, in their Wetland Assessment Procedure (WAP). A scoring system was used to describe the distribution of trees, woody shrubs, and groundcover in zones at three depths along a transect line through each wetland. The locations of the three zones were identified on contoured wetland bathymetry maps and were discussed in relation to areas of the wetland bottom that flooded for different periods of time during the study. Higher scores are characteristic of a greater extent and duration of wetland flooded area.</p>\n<p>WAP scores and weighted average scores for wetland vegetation were generally consistent with the results of the flooded area analysis. The WAP scores and weighted average scores were higher overall and did not decline with time at four wetlands in well fields (W-33, W-56, Starkey N, and Starkey 108) during the years following reductions in groundwater-withdrawal rates. These four wetlands also had increases in the extent and duration of the flooded area during the post-reduction period. Scores for trees were more consistent than scores for shrubs and groundcover. WAP scores remained relatively low or generally declined at five well-field wetlands (Q-1, W-17, W-41, Starkey D, and Starkey E) during the years following reductions in groundwater-withdrawal rates, and weighted average scores either declined over time or remained low. These five wetlands either did not have an increase in the extent and duration of the flooded area, or if there was an increase, it was small.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125039","collaboration":"Prepared in cooperation with Tampa Bay Water","usgsCitation":"Haag, K.H., and Pfeiffer, W.R., 2012, Flooded area and plant zonation in isolated wetlands in well fields in the Northern Tampa Bay Region, Florida, following reductions in groundwater-withdrawal rates: U.S. Geological Survey Scientific Investigations Report 2012-5039, ix, 39 p.; Appendices, https://doi.org/10.3133/sir20125039.","productDescription":"ix, 39 p.; Appendices","onlineOnly":"Y","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":246855,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5039.jpg"},{"id":246850,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5039/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay Region","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.83333333333333,27.666666666666668 ], [ -82.83333333333333,28.666666666666668 ], [ -81.83333333333333,28.666666666666668 ], [ -81.83333333333333,27.666666666666668 ], [ -82.83333333333333,27.666666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1173e4b0c8380cd53fd2","contributors":{"authors":[{"text":"Haag, Kim H. khhaag@usgs.gov","contributorId":381,"corporation":false,"usgs":true,"family":"Haag","given":"Kim","email":"khhaag@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":462992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pfeiffer, William R. wpfeiffer@usgs.gov","contributorId":3725,"corporation":false,"usgs":true,"family":"Pfeiffer","given":"William","email":"wpfeiffer@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":462993,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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