{"pageNumber":"1436","pageRowStart":"35875","pageSize":"25","recordCount":165246,"records":[{"id":70045031,"text":"70045031 - 2013 - Dynamic deformation of Seguam Island, Alaska, 1992--2008, from multi-interferogram InSAR processing","interactions":[],"lastModifiedDate":"2013-07-01T10:11:32","indexId":"70045031","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic deformation of Seguam Island, Alaska, 1992--2008, from multi-interferogram InSAR processing","docAbstract":"We generated a time-series of ERS-1/2 and ENVISAT interferometric synthetic aperture radar (InSAR) images to study ground surface deformation at Seguam Island from 1992 to 2008. We used the small baseline subset (SBAS) technique to reduce artifacts associated with baseline uncertainties and atmospheric delay anomalies, and processed images from two adjacent tracks to validate our results. Seguam Island comprises the remnants of two late Quaternary calderas, one in the western caldera of the island and one in the eastern part of the island. The western caldera subsided at a constant rate of ~ 1.6 cm/yr throughout the study period, while the eastern caldera experienced alternating periods of subsidence and uplift: ~ 5 cm/year uplift during January 1993–October 1993 (stage 1), ~ 1.6 cm/year subsidence during October 1993–November 1998 (stage 2), ~ 2.0 cm/year uplift during November 1998–September 2000 (stage 3), ~ 1.4 cm/year subsidence during September 2000–November 2005 (stage 4), and ~ 0.8 cm/year uplift during November 2005– July 2007 (stage 5). Source modeling indicates a deflationary source less than 2 km below sea level (BSL) beneath the western caldera and two sources beneath the eastern caldera: an inflationary source 2.5–6.0 km BSL and a deflationary source less than 2 km BSL. We suggest that uplift of the eastern caldera is driven by episodic intrusions of basaltic magma into a poroelastic reservoir 2.5–6.0 km BSL beneath the caldera. Cooling and degassing of the reservoir between intrusions results in steady subsidence of the overlying surface. Although we found no evidence of magma intrusion beneath the western caldera during the study period, it is the site (Pyre Peak) of all historical eruptions on the island and therefore cooling and degassing of intrusions presumably contributes to subsidence there as well. Another likely subsidence mechanism in the western caldera is thermoelastic contraction of lava flows emplaced near Pyre Peak during several historical eruptions, most recently in 1977 and 1992–93.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Volcanology and Geothermal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2013.05.009","usgsCitation":"Lee, C., Lu, Z., Won, J., Jung, H., and Dzurisin, D., 2013, Dynamic deformation of Seguam Island, Alaska, 1992--2008, from multi-interferogram InSAR processing: Journal of Volcanology and Geothermal Research, v. 260, p. 43-51, https://doi.org/10.1016/j.jvolgeores.2013.05.009.","productDescription":"9 p.","startPage":"43","endPage":"51","ipdsId":"IP-026604","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":273991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273989,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jvolgeores.2013.05.009"}],"country":"United States","state":"Alaska","otherGeospatial":"Seguam Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"260","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c17357e4b0dd0e00d92183","contributors":{"authors":[{"text":"Lee, Chang-Wook","contributorId":15748,"corporation":false,"usgs":true,"family":"Lee","given":"Chang-Wook","email":"","affiliations":[],"preferred":false,"id":476652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":476651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Won, Joong-Sun","contributorId":16966,"corporation":false,"usgs":true,"family":"Won","given":"Joong-Sun","email":"","affiliations":[],"preferred":false,"id":476653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jung, Hyung-Sup","contributorId":58382,"corporation":false,"usgs":true,"family":"Jung","given":"Hyung-Sup","email":"","affiliations":[],"preferred":false,"id":476654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":476650,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043582,"text":"70043582 - 2013 - Diet of the eastern mudminnow (Umbra pygmaea DeKay) from two geographically distinct populations within the North American native range","interactions":[],"lastModifiedDate":"2013-06-18T16:00:10","indexId":"70043582","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Diet of the eastern mudminnow (Umbra pygmaea DeKay) from two geographically distinct populations within the North American native range","docAbstract":"Umbra pygmaea (Eastern Mudminnow) is a freshwater species common in Atlantic slope coastal lowlands from southern New York to northern Florida and is typical of slow-moving, mud-bottomed, and highly vegetated streams, swamps, and small ponds. We examined its seasonal food habits at the Great Swamp National Wildlife Refuge (NWR), NJ and at the Croatan National Forest, NC. A total of 147 Eastern Mudminnow from 35–112 mm TL and 190 Eastern Mudminnow from 22–89 mm TL were examined from these sites, respectively. At both locations, we found it to be a bottom-feeding generalist that consumes cladocerans, ostracods, chironomid larvae, coleopteran larvae, and other insects and crustaceans. Ostracods were most common in the diet at the Great Swamp NWR and occurred in 62% ± 2.5% of the stomachs with food. At Croatan National Forest, chironomid larvae were most common and occurred in 66.7% ± 15.8% of the stomachs. There were no statistically significant differences in diet composition between the sites during the winter, summer, and fall. However, when compared on an annual basis, Jaccard’s Index (θ<sub>J</sub> = 0.636, P = 0.05) suggested that the diet at the two study sites was significantly different. While we identified the same major food groups at both locations, the utilization of these food groups varied seasonally. Detritus was a major stomach content at both locations throughout the year. We also documented cannibalism during the summer season at both locations. The seasonal diet of the Eastern Mudminnow was similar to that of Umbra limi (Central Mudminnow) and Umbra krameri (European Mudminnow). Our findings here are the first quantitative examinations of seasonal differences in the diet of the Eastern Mudminnow within its native North American range.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Northeastern Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Eagle Hill Institute","publisherLocation":"Steuben, ME","doi":"10.1656/045.020.0103","usgsCitation":"Panek, F., and Weis, J.S., 2013, Diet of the eastern mudminnow (Umbra pygmaea DeKay) from two geographically distinct populations within the North American native range: Northeastern Naturalist, v. 20, no. 1, p. 37-48, https://doi.org/10.1656/045.020.0103.","productDescription":"12 p.","startPage":"37","endPage":"48","ipdsId":"IP-038811","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":273971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273970,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1656/045.020.0103"}],"otherGeospatial":"North America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 177.1,5.6 ], [ 177.1,85.4 ], [ -4.0,85.4 ], [ -4.0,5.6 ], [ 177.1,5.6 ] ] ] } } ] }","volume":"20","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c17356e4b0dd0e00d9217b","contributors":{"authors":[{"text":"Panek, Frank M.","contributorId":47268,"corporation":false,"usgs":true,"family":"Panek","given":"Frank M.","affiliations":[],"preferred":false,"id":473892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weis, Judith S.","contributorId":71080,"corporation":false,"usgs":true,"family":"Weis","given":"Judith","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":473893,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045025,"text":"70045025 - 2013 - Development of MODFLOW-USG: an un-structured grid version of MODFLOW","interactions":[],"lastModifiedDate":"2013-06-18T15:58:12","indexId":"70045025","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2015,"text":"International Association of Hydrogeologists Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Development of MODFLOW-USG: an un-structured grid version of MODFLOW","docAbstract":"MODFLOW was revolutionary when it was first unveiled by the USGS in 1988, and since then it has been the most widely used groundwater flow modeling program in the world. MODFLOW’s simulation capabilities have evolved substantially since its initial release and it has been an inspiration for more comprehensive analysis simulators including surface-water/groundwater interaction models (e.g., GSFLOW, SWF, MODHMS, ISGW), flow and transport analysis simulators (e.g., MT3D, MODFLOWSURFACT, MODFLOW-T), and saltwater intrusion models (e.g., SEAWAT).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Association of Hydrogeologists Newsletter","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association of Hydrogeologists","usgsCitation":"Panday, S., 2013, Development of MODFLOW-USG: an un-structured grid version of MODFLOW: International Association of Hydrogeologists Newsletter, v. 42, no. 1, p. 4-5.","productDescription":"2 p.","startPage":"4","endPage":"5","ipdsId":"IP-044827","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":273968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273964,"type":{"id":11,"text":"Document"},"url":"https://www.iah.org/usa/spring2013.pdf"}],"volume":"42","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c17356e4b0dd0e00d92177","contributors":{"authors":[{"text":"Panday, Sorab","contributorId":100513,"corporation":false,"usgs":true,"family":"Panday","given":"Sorab","affiliations":[],"preferred":false,"id":476640,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045502,"text":"70045502 - 2013 - Kittiwake diets and chick production signal a 2008 regime shift in the Northeast Pacific","interactions":[],"lastModifiedDate":"2013-06-18T15:44:28","indexId":"70045502","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Kittiwake diets and chick production signal a 2008 regime shift in the Northeast Pacific","docAbstract":"I examined ~2700 food samples collected from adult and nestling black-legged kittiwakes Rissa tridactyla from 1978 through 2011 on Middleton Island in the Gulf of Alaska. The kittiwake diet was composed chiefly of fish, but invertebrates were taken in appreciable quantities in April and May. Upon spring arrival at the colony, adult kittiwakes foraged regularly at night on vertically migrating mesopelagic prey—lanternfishes (Myctophidae), squids, crustaceans, and polychaetes—a behavior they largely discontinued by egg-laying. During incubation and chick-rearing, food samples contained mostly (~85% by weight) Pacific sand lance Ammodytes hexapterus, capelin Mallotus villosus, Pacific herring Clupea pallasii, sablefish Anopoploma fimbria, krill (Euphausiidae), and juvenile salmon Onchorynchus gorboscha and O. keta. A salient finding over the longitudinal study was the emergence, twice, of capelin as a dominant forage species—once in 2000 to 2003, and again in 2008 through 2011. Kittiwakes responded to capelin availability by producing markedly higher numbers of fledged young. The 2000 to 2003 event corresponded to a previously documented shift to cooler conditions in the NE Pacific, which apparently was relatively limited in magnitude or duration. The more recent transition appears stronger and may be more lasting. I submit that 2008 was an important turning point, marking a substantive reversal of warm conditions that began with the well-documented regime shift of 1977. That interpretation is consistent with the existence of a ~60 yr cycle in ocean and atmospheric conditions in the North Pacific. All else being equal, it predicts the next 20 to 30 yr will be favorable for species such as kittiwakes and Steller sea lions, which seemed to respond negatively to the 1977 to 2007 warm phase of the Pacific Decadal Oscillation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","doi":"10.3354/meps10161","usgsCitation":"Hatch, S.A., 2013, Kittiwake diets and chick production signal a 2008 regime shift in the Northeast Pacific: Marine Ecology Progress Series, v. 477, p. 271-284, https://doi.org/10.3354/meps10161.","productDescription":"14 p.","startPage":"271","endPage":"284","ipdsId":"IP-042336","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473742,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10161","text":"Publisher Index Page"},{"id":273961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273960,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps10161"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf Of Alaska;Middleton Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -154.34,57.79 ], [ -154.34,61.62 ], [ -141.11,61.62 ], [ -141.11,57.79 ], [ -154.34,57.79 ] ] ] } } ] }","volume":"477","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c17359e4b0dd0e00d92193","contributors":{"authors":[{"text":"Hatch, Scott A. 0000-0002-0064-8187 shatch@usgs.gov","orcid":"https://orcid.org/0000-0002-0064-8187","contributorId":2625,"corporation":false,"usgs":true,"family":"Hatch","given":"Scott","email":"shatch@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":477647,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046641,"text":"sir20135106 - 2013 - Hydraulic and water-quality data collection for the investigation of Great Lakes tributaries for Asian carp spawning and egg-transport suitability","interactions":[],"lastModifiedDate":"2016-07-20T12:37:04","indexId":"sir20135106","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","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":"2013-5106","title":"Hydraulic and water-quality data collection for the investigation of Great Lakes tributaries for Asian carp spawning and egg-transport suitability","docAbstract":"<p>If the invasive Asian carps (bighead carp&nbsp;<i>Hypophthalmichthys nobilis</i>&nbsp;and silver carp&nbsp;<i>Hypophthalmichthys molitrix</i>) migrate to the Great Lakes, in spite of the efforts to stop their advancement, these species will require the fast-flowing water of the Great Lakes tributaries for spawning and recruitment in order to establish a growing population. Two Lake Michigan tributaries (the Milwaukee and St. Joseph Rivers) and two Lake Erie tributaries (the Maumee and Sandusky Rivers) were investigated to determine if these tributaries possess the hydraulic and water-quality characteristics to allow successful spawning of Asian carps. To examine this issue, standard U.S.&nbsp;Geological Survey sampling protocols and instrumentation for discharge and water-quality measurements were used, together with differential global positioning system data for georeferencing. Non-standard data-processing techniques, combined with detailed laboratory analysis of Asian carp egg characteristics, allowed an assessment of the transport capabilities of each of these four tributaries. This assessment is based solely on analysis of observed data and did not utilize the collected data for detailed transport modeling.</p>\n<p>All four tributaries exhibited potential settling zones for Asian carp eggs both within the estuaries and river mouths and within the lower 100 kilometers (km) of the river. Dams played a leading role in defining these settling zones, with the exception of dams on the Sandusky River. The impoundments created by many of the larger dams on these rivers acted to sufficiently decelerate the flows and allowed the shear velocity to drop below the settling velocity for Asian carp eggs, which would allow the eggs to fall out of suspension and settle on the bottom where it is thought the eggs would perish. While three rivers exhibited these settling zones upstream of the larger dams, not all settling zones are likely to have such effects on egg transport. The Milwaukee River exhibited only a short settling zone upstream of the Grafton Dam, whereas the St. Joseph and Maumee Rivers both had extensive settling zones (&gt;5 km) behind major dams. These longer settling zones are likely to capture more eggs than shorter settling reaches. All four rivers exhibited settling zones at their river mouths, with the Lake Erie tributaries having much larger settling zones extending more than 10 km up the tributaries.</p>\n<p>While hydraulic data from all four rivers indicated settling of eggs is possible in some locations, all four rivers also exhibited sufficient temperatures, water-quality characteristics, turbulence, and transport times outside of settling zones for successful suspension and development of Asian carp eggs to the hatching stage before the threat of settlement. These observed data indicate that these four Great Lakes tributaries have sufficient hydraulic and water-quality characteristics to support successful spawning and recruitment of Asian carps. The data indicate that with the right temperature and flow conditions, river reaches as short as 25 km may allow Asian carp eggs sufficient time to develop to hatching. Additionally, examining the relation between critical shear velocity and mean velocity, egg settling appears to take place at mean velocities in the range of 15&ndash;25&nbsp;centimeters per second, a much lower value than is generally cited in the literature. A first-order estimate of the minimum transport velocity for Asian carp eggs in a river can be obtained by using mean flow depth and river substrate data, and curves were constructed to show this relation. These findings would expand the number of possible tributaries suitable for Asian carp spawning and contribute to the understanding of how hydraulic and water-quality information can be used to screen additional rivers in the future.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135106","collaboration":"Prepared in cooperation with the Great Lakes Restoration Initiative","usgsCitation":"Murphy, E., and Jackson, P., 2013, Hydraulic and water-quality data collection for the investigation of Great Lakes tributaries for Asian carp spawning and egg-transport suitability: U.S. Geological Survey Scientific Investigations Report 2013-5106, vi, 30 p., https://doi.org/10.3133/sir20135106.","productDescription":"vi, 30 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":273892,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5106/pdf/sir2013-5106_web.pdf","text":"Report","size":"5.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":273888,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5106/"},{"id":273900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135106.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.0,40.0 ], [ -90.0,43.0 ], [ -82.0,43.0 ], [ -82.0,40.0 ], [ -90.0,40.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c17359e4b0dd0e00d9218b","contributors":{"authors":[{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":479920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","affiliations":[],"preferred":false,"id":479919,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046665,"text":"sir20135110 - 2013 - Methods and results of peak-flow frequency analyses for streamgages in and bordering Minnesota, through water year 2011","interactions":[],"lastModifiedDate":"2013-06-18T16:20:48","indexId":"sir20135110","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","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":"2013-5110","title":"Methods and results of peak-flow frequency analyses for streamgages in and bordering Minnesota, through water year 2011","docAbstract":"Peak-flow frequency analyses were completed for 409 streamgages in and bordering Minnesota having at least 10 systematic peak flows through water year 2011. Selected annual exceedance probabilities were determined by fitting a log-Pearson type III probability distribution to the recorded annual peak flows. A detailed explanation of the methods that were used to determine the annual exceedance probabilities, the historical period, acceptable low outliers, and analysis method for each streamgage are presented. The final results of the analyses are presented.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135110","collaboration":"Prepared in cooperation with the Minnesota Department of Transportation","usgsCitation":"Kessler, E.W., Lorenz, D.L., and Sanocki, C.A., 2013, Methods and results of peak-flow frequency analyses for streamgages in and bordering Minnesota, through water year 2011: U.S. Geological Survey Scientific Investigations Report 2013-5110, Report: iv, 46 p.; Downloads Directory, https://doi.org/10.3133/sir20135110.","productDescription":"Report: iv, 46 p.; Downloads Directory","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":273988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135110.gif"},{"id":273985,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5110/sir2013-5110.pdf"},{"id":273986,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5110/"},{"id":273987,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5110/downloads/"}],"projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Minnesota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98,0.0011111111111111111 ], [ -98,0.001388888888888889 ], [ -91,0.001388888888888889 ], [ -91,0.0011111111111111111 ], [ -98,0.0011111111111111111 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c1735ae4b0dd0e00d9219b","contributors":{"authors":[{"text":"Kessler, Erich W. 0000-0002-0869-4743 ekessler@usgs.gov","orcid":"https://orcid.org/0000-0002-0869-4743","contributorId":2871,"corporation":false,"usgs":true,"family":"Kessler","given":"Erich","email":"ekessler@usgs.gov","middleInitial":"W.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, David L. 0000-0003-3392-4034 lorenz@usgs.gov","orcid":"https://orcid.org/0000-0003-3392-4034","contributorId":1384,"corporation":false,"usgs":true,"family":"Lorenz","given":"David","email":"lorenz@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanocki, Christopher A.","contributorId":100432,"corporation":false,"usgs":true,"family":"Sanocki","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":479954,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044048,"text":"70044048 - 2013 - Multi-temporal maps of the Montaguto earth flow in southern Italy from 1954 to 2010","interactions":[],"lastModifiedDate":"2013-06-18T15:14:03","indexId":"70044048","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2375,"text":"Journal of Maps","active":true,"publicationSubtype":{"id":10}},"title":"Multi-temporal maps of the Montaguto earth flow in southern Italy from 1954 to 2010","docAbstract":"Historical movement of the Montaguto earth flow in southern Italy has periodically destroyed residences and farmland, and damaged the Italian National Road SS90 and the Benevento-Foggia National Railway. This paper provides maps from an investigation into the evolution of the Montaguto earth flow from 1954 to 2010. We used aerial photos, topographic maps, LiDAR data, satellite images, and field observations to produce multi-temporal maps. The maps show the spatial and temporal distribution of back-tilted surfaces, flank ridges, and normal, thrust, and strike-slip faults. Springs, creeks, and ponds are also shown on the maps. The maps provide a basis for interpreting how basal and lateral boundary geometries influence earth-flow behavior and surface-water hydrology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Maps","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/17445647.2013.765812","usgsCitation":"Guerriero, L., Revellino, P., Coe, J.A., Focareta, M., Grelle, G., Albanese, V., Corazza, A., and Guadagno, F.M., 2013, Multi-temporal maps of the Montaguto earth flow in southern Italy from 1954 to 2010: Journal of Maps, v. 9, no. 1, p. 135-145, https://doi.org/10.1080/17445647.2013.765812.","productDescription":"11 p.","startPage":"135","endPage":"145","ipdsId":"IP-040890","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473741,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/17445647.2013.765812","text":"Publisher Index Page"},{"id":273951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273948,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/17445647.2013.765812"}],"country":"Italy","otherGeospatial":"Montaguto Earth Flow","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 6.63,35.29 ], [ 6.63,47.09 ], [ 18.78,47.09 ], [ 18.78,35.29 ], [ 6.63,35.29 ] ] ] } } ] }","volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-20","publicationStatus":"PW","scienceBaseUri":"51c1735ae4b0dd0e00d9219f","contributors":{"authors":[{"text":"Guerriero, Luigi","contributorId":105205,"corporation":false,"usgs":true,"family":"Guerriero","given":"Luigi","email":"","affiliations":[],"preferred":false,"id":474702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Revellino, Paola","contributorId":62509,"corporation":false,"usgs":true,"family":"Revellino","given":"Paola","email":"","affiliations":[],"preferred":false,"id":474697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":474695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Focareta, Mariano","contributorId":26607,"corporation":false,"usgs":true,"family":"Focareta","given":"Mariano","email":"","affiliations":[],"preferred":false,"id":474696,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grelle, Gerardo","contributorId":102365,"corporation":false,"usgs":true,"family":"Grelle","given":"Gerardo","email":"","affiliations":[],"preferred":false,"id":474700,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Albanese, Vincenzo","contributorId":100723,"corporation":false,"usgs":true,"family":"Albanese","given":"Vincenzo","email":"","affiliations":[],"preferred":false,"id":474699,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Corazza, Angelo","contributorId":92957,"corporation":false,"usgs":true,"family":"Corazza","given":"Angelo","email":"","affiliations":[],"preferred":false,"id":474698,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guadagno, Francesco M.","contributorId":102366,"corporation":false,"usgs":true,"family":"Guadagno","given":"Francesco","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474701,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70046645,"text":"ofr20131126 - 2013 - Landscape consequences of natural gas extraction in Somerset and Westmoreland Counties, Pennsylvania,2004--2010","interactions":[],"lastModifiedDate":"2016-08-19T17:40:08","indexId":"ofr20131126","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","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":"2013-1126","title":"Landscape consequences of natural gas extraction in Somerset and Westmoreland Counties, Pennsylvania,2004--2010","docAbstract":"<p>Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing unconventional hydrocarbon-rich geologic formations, have led to an intense effort to find and extract natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Conventional natural gas wells, which sometimes use the same technique, are commonly located in the same general area as the Marcellus Shale and are frequently developed in clusters across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Somerset County and Westmoreland County in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131126","usgsCitation":"Milheim, L., Slonecker, E., Roig-Silva, C., and Malizia, A., 2013, Landscape consequences of natural gas extraction in Somerset and Westmoreland Counties, Pennsylvania,2004--2010: U.S. Geological Survey Open-File Report 2013-1126, v, 34 p., https://doi.org/10.3133/ofr20131126.","productDescription":"v, 34 p.","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131126.gif"},{"id":273898,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1126"},{"id":273899,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1126/ofr2013-1126.pdf","text":"Report","size":"4.25 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A.R.","contributorId":98991,"corporation":false,"usgs":true,"family":"Malizia","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":479926,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046655,"text":"ds746 - 2013 - Historical rock falls in Yosemite National Park, California (1857-2011)","interactions":[],"lastModifiedDate":"2023-06-05T15:11:43.627772","indexId":"ds746","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","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":"746","title":"Historical rock falls in Yosemite National Park, California (1857-2011)","docAbstract":"<p>Inventories of rock falls and other types of landslides are valuable tools for improving understanding of these events. For example, detailed information on rock falls is critical for identifying mechanisms that trigger rock falls, for quantifying the susceptibility of different cliffs to rock falls, and for developing magnitude-frequency relations. Further, inventories can assist in quantifying the relative hazard and risk posed by these events over both short and long time scales.</p>\n<br/>\n<p>This report describes and presents the accompanying rock fall inventory database for Yosemite National Park, California. The inventory database documents 925 events spanning the period 1857–2011. Rock falls, rock slides, and other forms of slope movement represent a serious natural hazard in Yosemite National Park. Rock-fall hazard and risk are particularly relevant in Yosemite Valley, where glacially steepened granitic cliffs approach 1 km in height and where the majority of the approximately 4 million yearly visitors to the park congregate. In addition to damaging roads, trails, and other facilities, rock falls and other slope movement events have killed 15 people and injured at least 85 people in the park since the first documented rock fall in 1857.</p>\n<br/>\n<p>The accompanying report describes each of the organizational categories in the database, including event location, type of slope movement, date, volume, relative size, probable trigger, impact to humans, narrative description, references, and environmental conditions. The inventory database itself is contained in a Microsoft Excel spreadsheet (Yosemite_rock_fall_database_1857-2011.xlsx). Narrative descriptions of events are contained in the database, but are also provided in a more readable Adobe portable document format (pdf) file (Yosemite_rock_fall_database_narratives_1857-2011.pdf) available for download separate from the database.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds746","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Stock, G.M., Collins, B., Santaniello, D.J., Zimmer, V.L., Wieczorek, G.F., and Snyder, J.B., 2013, Historical rock falls in Yosemite National Park, California (1857-2011): U.S. Geological Survey Data Series 746, Report: iv, 17 p.; Database, https://doi.org/10.3133/ds746.","productDescription":"Report: iv, 17 p.; Database","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":273931,"rank":5,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds746.gif"},{"id":273927,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/746/","linkFileType":{"id":5,"text":"html"}},{"id":273929,"rank":2,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/ds/746/Yosemite_rock_fall_database_1857-2011.xlsx"},{"id":273930,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/746/Yosemite_rock_fall_database_narratives_1857-2011.pdf"},{"id":273928,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/746/ds746_text.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.8863,37.4948 ], [ -119.8863,38.1863 ], [ -119.1995,38.1863 ], [ -119.1995,37.4948 ], [ -119.8863,37.4948 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c17357e4b0dd0e00d92187","contributors":{"authors":[{"text":"Stock, Greg M.","contributorId":88593,"corporation":false,"usgs":true,"family":"Stock","given":"Greg","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, Brian D.","contributorId":71641,"corporation":false,"usgs":true,"family":"Collins","given":"Brian D.","affiliations":[],"preferred":false,"id":479936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Santaniello, David J.","contributorId":85070,"corporation":false,"usgs":true,"family":"Santaniello","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":479938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmer, Valerie L.","contributorId":22661,"corporation":false,"usgs":true,"family":"Zimmer","given":"Valerie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":479935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wieczorek, Gerald F.","contributorId":81889,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Gerald","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":479937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Snyder, James B.","contributorId":102137,"corporation":false,"usgs":true,"family":"Snyder","given":"James","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":479940,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046638,"text":"sir20135085 - 2013 - Baseline groundwater quality from 20 domestic wells in Sullivan County, Pennsylvania, 2012","interactions":[],"lastModifiedDate":"2016-08-24T12:20:56","indexId":"sir20135085","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","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":"2013-5085","title":"Baseline groundwater quality from 20 domestic wells in Sullivan County, Pennsylvania, 2012","docAbstract":"<p>Water samples were collected from 20 domestic wells during August and September 2012 and analyzed for 47&nbsp;constituents and properties, including nutrients, major ions, metals and trace elements, radioactivity, and dissolved gases, including methane and radon-222. This study, done in cooperation with the Pennsylvania Department of Conservation and Natural Resources, Bureau of Topographic and Geologic Survey (Pennsylvania Geological Survey), provides a groundwater-quality baseline for central and southern Sullivan County prior to drilling for natural gas in the Marcellus&nbsp;Shale.</p>\n<p>The analytical results for the 20&nbsp;groundwater samples collected during this study indicate that only one constituent (gross-alpha radioactivity) in one sample was found to exceed the U.S. Environmental Protection Agency (USEPA) primary drinking water maximum contaminant level (MCL). Water samples from 85&nbsp;percent of the sampled wells exceeded the proposed USEPA MCL of 300&nbsp;picocuries per liter (pCi/L) for radon-222; however, only two water samples (10&nbsp;percent of sampled wells) exceeded the proposed USEPA alternate maximum contaminant level (AMCL) of 4,000&nbsp;pCi/L for radon-222. In a few samples, the concentrations of total dissolved solids, iron, manganese, and chloride exceeded USEPA secondary maximum contaminant levels (SMCL). In addition, water samples from two wells contained methane concentrations greater than 1&nbsp;milligram per liter&nbsp;(mg/L).</p>\n<p>In general, most of the water-quality problems involve aesthetic considerations, such as taste or odor from elevated concentrations of total dissolved solids, iron, manganese, and chloride that develop from natural interactions of water and rock minerals in the subsurface. The total dissolved solids concentration ranged from 31 to 664&nbsp;mg/L; the median was 130&nbsp;mg/L. The total dissolved solids concentration in one water sample exceeded the USEPA SMCL of 500&nbsp;mg/L. Chloride concentrations ranged from 0.59 to 342&nbsp;mg/L; the median was 12.9&nbsp;mg/L. The concentration of chloride in one water sample exceeded the USEPA SMCL of 250&nbsp;mg/L. Concentrations of dissolved iron ranged from less than 3.2 to 6,590&nbsp;micrograms per liter (&micro;g/L); the median was 11.5&nbsp;&micro;g/L. The iron concentration in samples from 20&nbsp;percent of the sampled wells exceeded the USEPA SMCL of 300&nbsp;&micro;g/L. Concentrations of dissolved manganese ranged from less than 0.13 to 1,710&nbsp;&micro;g/L; the median was 38.5&nbsp;&micro;g/L. The manganese concentration in samples from 35&nbsp;percent of the sampled wells exceeded the USEPA SMCL of&nbsp;50&nbsp;&micro;g/L.</p>\n<p>Activities of radon-222 ranged from 169 to 15,300&nbsp;picocuries per liter (pCi/L); the median was 990&nbsp;pCi/L. The gross alpha-particle radioactivity ranged from below detection to 33&nbsp;pCi/L; the median was 1.5&nbsp;pCi/L. The gross alpha-particle radioactivity of one water sample exceeded the USEPA MCL of&nbsp;15&nbsp;pCi/L.</p>\n<p>Concentrations of dissolved methane ranged from less than 0.001 to 51.1&nbsp;mg/L. Methane was not detected in water samples from 13&nbsp;wells, and the methane concentration was less than 0.07&nbsp;mg/L in samples from five wells. The highest dissolved methane concentrations were 4.1 and 51.1&nbsp;mg/L, and the pH of the water from both wells was greater than 8. Water samples from these wells were analyzed for isotopes of carbon and hydrogen in the methane. The isotopic ratio values fell in the range for a thermogenic (natural gas) source. The water samples from these two wells had the highest concentrations of arsenic, boron, bromide, chloride, fluoride, lithium, molybdenum, and sodium of the 20&nbsp;wells&nbsp;sampled.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135085","collaboration":"Prepared in cooperation with the Pennsylvania Department of Conservation and Natural Resources, Bureau of Topographic and Geologic Survey","usgsCitation":"Sloto, R.A., 2013, Baseline groundwater quality from 20 domestic wells in Sullivan County, Pennsylvania, 2012: U.S. Geological Survey Scientific Investigations Report 2013-5085, vi, 27 p., https://doi.org/10.3133/sir20135085.","productDescription":"vi, 27 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2013-08-01","temporalEnd":"2013-09-30","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":273887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135085.png"},{"id":273883,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5085/"},{"id":273884,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5085/support/sir2013-5085.pdf","text":"Report","size":"3.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Pennsylvania","county":"Sullivan County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-76.2217,41.5447],[-76.225,41.5312],[-76.2277,41.5203],[-76.2322,41.5058],[-76.2527,41.4552],[-76.2732,41.4045],[-76.2829,41.3778],[-76.2962,41.3485],[-76.3097,41.3109],[-76.4076,41.3095],[-76.4472,41.2772],[-76.4673,41.2805],[-76.4942,41.2848],[-76.5143,41.2882],[-76.5271,41.2914],[-76.5454,41.297],[-76.5587,41.3007],[-76.574,41.3027],[-76.5954,41.3069],[-76.6045,41.312],[-76.6154,41.3193],[-76.673,41.3578],[-76.7514,41.4087],[-76.7609,41.4373],[-76.7669,41.4546],[-76.7686,41.4605],[-76.7693,41.461],[-76.7722,41.4714],[-76.7746,41.4778],[-76.7782,41.4878],[-76.7817,41.5001],[-76.7901,41.5224],[-76.7913,41.5255],[-76.7919,41.5278],[-76.7931,41.531],[-76.8002,41.5519],[-76.8104,41.5801],[-76.811,41.5815],[-76.8133,41.5901],[-76.8103,41.5896],[-76.8005,41.5887],[-76.7949,41.5882],[-76.787,41.5872],[-76.7569,41.5839],[-76.7496,41.5834],[-76.6993,41.5795],[-76.6938,41.579],[-76.679,41.578],[-76.6619,41.5765],[-76.6478,41.5755],[-76.6367,41.5745],[-76.5975,41.5715],[-76.5,41.5649],[-76.4454,41.5608],[-76.3277,41.5526],[-76.2487,41.5468],[-76.2432,41.5463],[-76.2383,41.5458],[-76.2217,41.5447]]]},\"properties\":{\"name\":\"Sullivan\",\"state\":\"PA\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c1734ee4b0dd0e00d92173","contributors":{"authors":[{"text":"Sloto, Ronald A. rasloto@usgs.gov","contributorId":424,"corporation":false,"usgs":true,"family":"Sloto","given":"Ronald","email":"rasloto@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479916,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046623,"text":"sir20135111 - 2013 - Comparison between two statistically based methods, and two physically based models developed to compute daily mean streamflow at ungaged locations in the Cedar River Basin, Iowa","interactions":[],"lastModifiedDate":"2013-06-17T11:56:50","indexId":"sir20135111","displayToPublicDate":"2013-06-17T00:00:00","publicationYear":"2013","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":"2013-5111","title":"Comparison between two statistically based methods, and two physically based models developed to compute daily mean streamflow at ungaged locations in the Cedar River Basin, Iowa","docAbstract":"A variety of individuals from water resource managers to recreational users need streamflow information for planning and decisionmaking at locations where there are no streamgages. To address this problem, two statistically based methods, the Flow Duration Curve Transfer method and the Flow Anywhere method, were developed for statewide application and the two physically based models, the Precipitation Runoff Modeling-System and the Soil and Water Assessment Tool, were only developed for application for the Cedar River Basin. Observed and estimated streamflows for the two methods and models were compared for goodness of fit at 13 streamgages modeled in the Cedar River Basin by using the Nash-Sutcliffe and the percent-bias efficiency values.\n\nBased on median and mean Nash-Sutcliffe values for the 13 streamgages the Precipitation Runoff Modeling-System and Soil and Water Assessment Tool models appear to have performed similarly and better than Flow Duration Curve Transfer and Flow Anywhere methods. Based on median and mean percent bias values, the Soil and Water Assessment Tool model appears to have generally overestimated daily mean streamflows, whereas the Precipitation Runoff Modeling-System model and statistical methods appear to have underestimated daily mean streamflows. The Flow Duration Curve Transfer method produced the lowest median and mean percent bias values and appears to perform better than the other models.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135111","collaboration":"Prepared in cooperation with the Iowa Department of Natural Resources","usgsCitation":"Linhart, S., Nania, J.F., Christiansen, D.E., Hutchinson, K.J., Sanders, C.L., and Archfield, S.A., 2013, Comparison between two statistically based methods, and two physically based models developed to compute daily mean streamflow at ungaged locations in the Cedar River Basin, Iowa: U.S. Geological Survey Scientific Investigations Report 2013-5111, iv, 7 p., https://doi.org/10.3133/sir20135111.","productDescription":"iv, 7 p.","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":273813,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5111/sir13_5111_web.pdf"},{"id":273815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135111.gif"},{"id":273812,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5111/"}],"country":"United States","state":"Iowa","otherGeospatial":"Cedar River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.64,40.38 ], [ -96.64,43.5 ], [ -90.14,43.5 ], [ -90.14,40.38 ], [ -96.64,40.38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c021d4e4b0ee1529ecdebe","contributors":{"authors":[{"text":"Linhart, S. Mike","contributorId":61073,"corporation":false,"usgs":true,"family":"Linhart","given":"S. Mike","affiliations":[],"preferred":false,"id":479883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nania, Jon F. jfnania@usgs.gov","contributorId":4767,"corporation":false,"usgs":true,"family":"Nania","given":"Jon","email":"jfnania@usgs.gov","middleInitial":"F.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christiansen, Daniel E. 0000-0001-6108-2247 dechrist@usgs.gov","orcid":"https://orcid.org/0000-0001-6108-2247","contributorId":366,"corporation":false,"usgs":true,"family":"Christiansen","given":"Daniel","email":"dechrist@usgs.gov","middleInitial":"E.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hutchinson, Kasey J. khutchin@usgs.gov","contributorId":4223,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Kasey","email":"khutchin@usgs.gov","middleInitial":"J.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanders, Curtis L. Jr.","contributorId":76391,"corporation":false,"usgs":true,"family":"Sanders","given":"Curtis","suffix":"Jr.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":479884,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":479880,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70045689,"text":"70045689 - 2013 - Determination of diffusion coefficients of carbon dioxide in water between 268 and 473 K in a high-pressure capillary optical cell with in situ Raman spectroscopic measurements","interactions":[],"lastModifiedDate":"2014-01-27T09:58:50","indexId":"70045689","displayToPublicDate":"2013-06-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Determination of diffusion coefficients of carbon dioxide in water between 268 and 473 K in a high-pressure capillary optical cell with in situ Raman spectroscopic measurements","docAbstract":"Accurate values of diffusion coefficients for carbon dioxide in water and brine at reservoir conditions are essential to our understanding of transport behavior of carbon dioxide in subsurface pore space. However, the experimental data are limited to conditions at low temperatures and pressures. In this study, diffusive transfer of carbon dioxide in water at pressures up to 45 MPa and temperatures from 268 to 473 K was observed within an optical capillary cell via time-dependent Raman spectroscopy. Diffusion coefficients were estimated by the least-squares method for the measured variations in carbon dioxide concentration in the cell at various sample positions and time. At the constant pressure of 20 MPa, the measured diffusion coefficients of carbon dioxide in water increase with increasing temperature from 268 to 473 K. The relationship between diffusion coefficient of carbon dioxide in water [D(CO<sub>2</sub>) in m<sup>2</sup>/s] and temperature (T in K) was derived with Speedy–Angell power-law approach as: D(CO<sub>2</sub>)=D<sub>0</sub>[T/Ts-1]<sup>m</sup> where D<sub>0</sub> = 13.942 × 10<sup>−9</sup> m<sup>2</sup>/s, Ts = 227.0 K, and m = 1.7094. At constant temperature, diffusion coefficients of carbon dioxide in water decrease with pressure increase. However, this pressure effect is rather small (within a few percent).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2013.04.010","usgsCitation":"Lu, W., Guo, H., Chou, I., Burruss, R., and Li, L., 2013, Determination of diffusion coefficients of carbon dioxide in water between 268 and 473 K in a high-pressure capillary optical cell with in situ Raman spectroscopic measurements: Geochimica et Cosmochimica Acta, v. 115, p. 183-204, https://doi.org/10.1016/j.gca.2013.04.010.","productDescription":"20 p.","startPage":"183","endPage":"204","ipdsId":"IP-041914","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":273880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273879,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2013.04.010"}],"country":"United States","volume":"115","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c021d5e4b0ee1529ecdec2","contributors":{"authors":[{"text":"Lu, Wanjun","contributorId":15102,"corporation":false,"usgs":true,"family":"Lu","given":"Wanjun","email":"","affiliations":[],"preferred":false,"id":478052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guo, Huirong","contributorId":46397,"corporation":false,"usgs":true,"family":"Guo","given":"Huirong","email":"","affiliations":[],"preferred":false,"id":478055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chou, I.-M. 0000-0001-5233-6479","orcid":"https://orcid.org/0000-0001-5233-6479","contributorId":44283,"corporation":false,"usgs":true,"family":"Chou","given":"I.-M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":478054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burruss, R.C. 0000-0001-6827-804X","orcid":"https://orcid.org/0000-0001-6827-804X","contributorId":99574,"corporation":false,"usgs":true,"family":"Burruss","given":"R.C.","affiliations":[],"preferred":false,"id":478056,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Lanlan","contributorId":26211,"corporation":false,"usgs":true,"family":"Li","given":"Lanlan","email":"","affiliations":[],"preferred":false,"id":478053,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046637,"text":"sir20135093 - 2013 - Vegetation map of the watersheds between Kawela and Kamalō Gulches, Island of Molokaʻi, Hawaiʻi","interactions":[],"lastModifiedDate":"2013-06-17T20:22:16","indexId":"sir20135093","displayToPublicDate":"2013-06-17T00:00:00","publicationYear":"2013","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":"2013-5093","title":"Vegetation map of the watersheds between Kawela and Kamalō Gulches, Island of Molokaʻi, Hawaiʻi","docAbstract":"In this document we describe the methods and results of a project to produce a large-scale map of the dominant plant communities for an area of 5,118.5 hectares encompassing the Kawela and Kamalō watersheds on the island of Molokaʻi, Hawaiʻi, using digital image analysis of multi-spectral satellite imagery. Besides providing a base map of the area for land managers to use, this vegetation map serves as spatial background for the U.S. Geological Survey’s (USGS) Molokaʻi Ridge-to-Reef project, which is an interdisciplinary study of erosion and sediment transport within these watersheds. A total of 14 mapping units were identified for the Kawela-Kamalō project area. The most widespread units were the ʻŌhiʻa montane wet or mesic forest and No vegetation or very sparse grasses/shrubs communities, each present in more than 800 hectares, or 16 percent of the mapping area. Next largest were the Kiawe woodland with alien grass understory and ʻAʻaliʻi dry shrubland units, each of which covered more than 500 hectares, or more than 12 percent of the area; followed by the Mixed native mesic shrubland, ʻIlima and mixed grass dry shrubland, Mixed alien grass with ʻilima shrubs, and the Mixed alien forest with alien shrub/grass understory communities, which ranged in size from approximately 391 to 491 hectares, or 7.6 to 9.6 percent of the project site. The other six mapped units covered less than 170 hectares of the landscape. Six of the map units were dominated by native vegetation, covering a total of 2,535.2 hectares combined, or approximately 50 percent of the project area. The remaining map units were dominated by nonnative species and represent vegetation types that have resulted from invasion and establishment of plant species that had been either purposely or accidently introduced into Hawaiʻi since humans arrived in these islands more than 1,500 years ago. The preponderance of mapping units that are dominated by alien species of plants is a strong indication of how much anthropogenic disturbance has occurred in this area. The native-dominated ʻŌhiʻa forest and uluhe fern communities are probably most similar to the vegetation that was originally found in the upper part of the project area this area. Portions of the mixed mesic native shrub community still persist in the lowland mesic zone, but below that area, the vegetation is either dominated by alien species, or artificially opened by animal grazing and erosion, even in the few units that are still dominated by native species. The map produced for the Kawela to Kamalō watersheds can be used as a baseline for assessing the distribution and abundance of the various plant communities found across this landscape at the time of the imagery (2004). It can also be used to help understand the dynamics of the vegetation and other attributes of this watershed—such as erosion and surface transport of sediment, relative to current and future habitat conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135093","collaboration":"Prepared in collaboration with the Hawaiʻi Cooperative Studies, University of Hawaiʻi at Hilo","usgsCitation":"Jacobi, J.D., and Ambagis, S., 2013, Vegetation map of the watersheds between Kawela and Kamalō Gulches, Island of Molokaʻi, Hawaiʻi: U.S. Geological Survey Scientific Investigations Report 2013-5093, vi, 22 p.; Map: 1 Sheet: 11 x 17 inches; GIS Data, https://doi.org/10.3133/sir20135093.","productDescription":"vi, 22 p.; Map: 1 Sheet: 11 x 17 inches; GIS Data","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":273875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135093.gif"},{"id":273873,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5093/sir2013-5093_map.pdf"},{"id":273874,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5093/sir2013-5093_text.pdf"},{"id":273872,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5093/"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Moloka'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -157.3108,21.0462 ], [ -157.3108,21.2241 ], [ -156.7097,21.2241 ], [ -156.7097,21.0462 ], [ -157.3108,21.0462 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c021d6e4b0ee1529ecdece","contributors":{"authors":[{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":479914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ambagis, Stephen","contributorId":83430,"corporation":false,"usgs":true,"family":"Ambagis","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":479915,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046622,"text":"sir20135112 - 2013 - An analysis of potential water availability from the Atwood, Leesville, and Tappan Lakes in the Muskingum River Watershed, Ohio","interactions":[],"lastModifiedDate":"2014-01-27T11:14:22","indexId":"sir20135112","displayToPublicDate":"2013-06-17T00:00:00","publicationYear":"2013","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":"2013-5112","title":"An analysis of potential water availability from the Atwood, Leesville, and Tappan Lakes in the Muskingum River Watershed, Ohio","docAbstract":"This report presents the results of a study to assess potential water availability from the Atwood, Leesville, and Tappan Lakes, located within the Muskingum River Watershed, Ohio. The assessment was based on the criterion that water withdrawals should not appreciably affect maintenance of recreation-season pool levels in current use. To facilitate and simplify the assessment, it was assumed that historical lake operations were successful in maintaining seasonal pool levels, and that any discharges from lakes constituted either water that was discharged to prevent exceeding seasonal pool levels or discharges intended to meet minimum in-stream flow targets downstream from the lakes. It further was assumed that the volume of water discharged in excess of the minimum in-stream flow target is available for use without negatively impacting seasonal pool levels or downstream water uses and that all or part of it is subject to withdrawal. Historical daily outflow data for the lakes were used to determine the quantity of water that potentially could be withdrawn and the resulting quantity of water that would flow downstream (referred to as “flow-by”) on a daily basis as a function of all combinations of three hypothetical target minimum flow-by amounts (1, 2, and 3 times current minimum in-stream flow targets) and three pumping capacities (1, 2, and 3 million gallons per day). Using both U.S. Geological Survey streamgage data and lake-outflow data provided by the U.S. Army Corps of Engineers resulted in analytical periods ranging from 51 calendar years for the Atwood Lake to 73 calendar years for the Leesville and Tappan Lakes. The observed outflow time series and the computed time series of daily flow-by amounts and potential withdrawals were analyzed to compute and report order statistics (95th, 75th, 50th, 25th, 10th, and 5th percentiles) and means for the analytical period, in aggregate, and broken down by calendar month. In addition, surplus-water mass curve data were tabulated for each of the lakes. Monthly order statistics of computed withdrawals indicated that, for the three pumping capacities considered, increasing the target minimum flow-by amount tended to reduce the amount of water that can be withdrawn. The reduction was greatest in the lower percentiles of withdrawal; however, increasing the flow-by amount had no impact on potential withdrawals during high flow. In addition, for a given target minimum flow-by amount, increasing the pumping rate increased the total amount of water that could be withdrawn; however, that increase was less than a direct multiple of the increase in pumping rate for most flow statistics. Potential monthly withdrawals were observed to be more variable and more limited in some calendar months than others. Monthly order statistics and means of computed daily mean flow-by amounts indicated that flow-by amounts generally tended to be lowest during June–October and February. Increasing the target minimum flow-by amount for a given pumping rate resulted in some small increases in the magnitudes of the mean and 50th percentile and lower order statistics of computed mean flow-by, but had no effect on the magnitudes of the higher percentile statistics. Increasing the pumping rate for a given target minimum flow-by amount resulted in decreases in magnitudes of higher-percentile flow-by statistics by an amount equal to the flow equivalent of the increase in pumping rate; however, some lower percentile statistics remained unchanged.","language":"English","publisher":"U.S. Geological Service","publisherLocation":"Reston, VA","doi":"10.3133/sir20135112","issn":"2328-0328","collaboration":"Prepared in cooperation with the Muskingum Watershed Conservancy District","usgsCitation":"Koltun, G., 2013, An analysis of potential water availability from the Atwood, Leesville, and Tappan Lakes in the Muskingum River Watershed, Ohio (Originally posted July 17, 2013; Revised January 27, 2014): U.S. Geological Survey Scientific Investigations Report 2013-5112, Report: vi, 33 p.; Appendix 1: Excel file, https://doi.org/10.3133/sir20135112.","productDescription":"Report: vi, 33 p.; Appendix 1: Excel file","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":273807,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5112/pdf/sir2013-5112.pdf"},{"id":273809,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5112/table_1-1.xlsx"},{"id":273810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135112.jpg"},{"id":273808,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5112/"}],"country":"United States","state":"Ohio","otherGeospatial":"Atwood Lake;Leesville Lake;Muskingum River Watershed;Tappan Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.2546,39.0874 ], [ -82.2546,40.8346 ], [ -80.8649,40.8346 ], [ -80.8649,39.0874 ], [ -82.2546,39.0874 ] ] ] } } ] }","edition":"Originally posted July 17, 2013; Revised January 27, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c021cde4b0ee1529ecdeba","contributors":{"authors":[{"text":"Koltun, G. F. 0000-0003-0255-2960 gfkoltun@usgs.gov","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":1852,"corporation":false,"usgs":true,"family":"Koltun","given":"G. F.","email":"gfkoltun@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479878,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046625,"text":"ofr20131090 - 2013 - Geologic map of the east half of the Lime Hills 1:250,000-scale quadrangle, Alaska","interactions":[],"lastModifiedDate":"2013-06-18T09:43:23","indexId":"ofr20131090","displayToPublicDate":"2013-06-17T00:00:00","publicationYear":"2013","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":"2013-1090","title":"Geologic map of the east half of the Lime Hills 1:250,000-scale quadrangle, Alaska","docAbstract":"This map is compiled from geologic mapping conducted between 1985 and 1992 by the U.S. Geological Survey as part of the Alaska Mineral Resource Assessment Program. That mapping built upon previous USGS work (1963–1988) unraveling the magmatic history of the Alaska–Aleutian Range batholith. Quaternary unit contacts depicted on this map are derived largely from aerial-photograph interpretation. K-Ar ages made prior to this study have been recalculated using 1977 decay constants. The east half of the Lime Hills 1:250,000-scale quadrangle includes part of the Alaska–Aleutian Range batholith and several sequences of sedimentary rocks or mixed sedimentary and volcanic rocks. The Alaska–Aleutian Range batholith contains rocks that represent three major igneous episodes, (1) Early and Middle Jurassic, (2) Late Cretaceous and early Tertiary, and (3) middle Tertiary; only rocks from the latter two episodes are found in this map area. The map area is one of very steep and rugged terrain; elevations range from a little under 1,000 ft (305 m) to 9,828 ft (2,996 m). Foot traverses are generally restricted to lowermost elevations. Areas suitable for helicopter landings can be scarce at higher elevations. Most of the area was mapped from the air, supplemented by direct examination of rocks where possible. This restricted access greatly complicates understanding some of the more complex geologic units. For example, we know there are plutons whose compositions vary from gabbro to granodiorite, but we have little insight as to how these phases are distributed and what their relations might be to each other. It is also possible that some of what we have described as compositionally complex plutons might actually be several distinct intrusions.","language":"English","publisher":"U.S. Geological Service","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131090","usgsCitation":"Gamble, B.M., Reed, B.L., Richter, D.H., and Lanphere, M.A., 2013, Geologic map of the east half of the Lime Hills 1:250,000-scale quadrangle, Alaska: U.S. Geological Survey Open-File Report 2013-1090, Map: 35 inches x 28 inches; Readme: PDF file; Metadata folder; GIS Data: ZIP file, https://doi.org/10.3133/ofr20131090.","productDescription":"Map: 35 inches x 28 inches; Readme: PDF file; Metadata folder; GIS Data: ZIP file","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":273835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131090.gif"},{"id":273832,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2013/1090/of2013-1090_readme.pdf"},{"id":273830,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1090/"},{"id":273831,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1090/of2013-1090_map.pdf"},{"id":273833,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2013/1090/of2013-1090_metadata/metadata.html"},{"id":273834,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1090/of2013-1090_database.zip"}],"scale":"250000","projection":"Universal Transverse Mercator, Zone 5N","datum":"North American Datum of 1927","country":"United States","state":"Alaska","otherGeospatial":"Lime Hills","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -154.500,61.0000 ], [ -154.500,62.0000 ], [ -153.000,62.0000 ], [ -153.000,61.0000 ], [ -154.500,61.0000 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c021d5e4b0ee1529ecdeca","contributors":{"authors":[{"text":"Gamble, Bruce M. bgamble@usgs.gov","contributorId":560,"corporation":false,"usgs":true,"family":"Gamble","given":"Bruce","email":"bgamble@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":479889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Bruce L.","contributorId":19928,"corporation":false,"usgs":true,"family":"Reed","given":"Bruce","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":479891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richter, Donald H.","contributorId":61021,"corporation":false,"usgs":true,"family":"Richter","given":"Donald","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":479892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lanphere, Marvin A. alder@usgs.gov","contributorId":2696,"corporation":false,"usgs":true,"family":"Lanphere","given":"Marvin","email":"alder@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":479890,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046524,"text":"70046524 - 2013 - Development of a Fluvial Egg Drift Simulator to evaluate the transport and dispersion of Asian carp eggs in rivers","interactions":[],"lastModifiedDate":"2013-06-17T12:08:31","indexId":"70046524","displayToPublicDate":"2013-06-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Development of a Fluvial Egg Drift Simulator to evaluate the transport and dispersion of Asian carp eggs in rivers","docAbstract":"Asian carp are migrating towards the Great Lakes and are threatening to invade this ecosystem, hence there is an immediate need to control their population. The transport of Asian carp eggs in potential spawning rivers is an important factor in its life history and recruitment success. An understanding of the transport, development, and fate of Asian carp eggs has the potential to create prevention, management, and control strategies before the eggs hatch and develop the ability to swim. However, there is not a clear understanding of the hydrodynamic conditions at which the eggs are transported and kept in suspension. This knowledge is imperative because of the current assumption that suspension is required for the eggs to survive. Herein, FluEgg (Fluvial Egg Drift Simulator), a three-dimensional Lagrangian model capable of evaluating the influence of flow velocity, shear dispersion and turbulent diffusion on the transport and dispersal patterns of Asian carp eggs is presented. The model's variables include not only biological behavior (growth rate, density changes) but also the physical characteristics of the flow field, such as mean velocities and eddy diffusivities. The performance of the FluEgg model was evaluated using observed data from published flume experiments conducted in China with water-hardened Asian carp eggs as subjects. FluEgg simulations show a good agreement with the experimental data. The model was also run with observed data from the Sandusky River in Ohio to provide a real-world demonstration case. This research will support the identification of critical hydrodynamic conditions (e.g., flow velocity, depth, and shear velocity) to maintain eggs in suspension, assist in the evaluation of suitable spawning rivers for Asian carp populations and facilitate the development of prevention, control and management strategies for Asian carp species in rivers and water bodies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2013.05.005","usgsCitation":"Garcia, T., Jackson, P., Murphy, E., Valocchi, A.J., and Garcia, M., 2013, Development of a Fluvial Egg Drift Simulator to evaluate the transport and dispersion of Asian carp eggs in rivers: Ecological Modelling, v. 263, p. 211-222, https://doi.org/10.1016/j.ecolmodel.2013.05.005.","productDescription":"12 p.","startPage":"211","endPage":"222","ipdsId":"IP-042130","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":438787,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93UCQR2","text":"USGS data release","linkHelpText":"FluEgg"},{"id":273818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273688,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2013.05.005"}],"volume":"263","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c021d5e4b0ee1529ecdec6","chorus":{"doi":"10.1016/j.ecolmodel.2013.05.005","url":"http://dx.doi.org/10.1016/j.ecolmodel.2013.05.005","publisher":"Elsevier BV","authors":"Garcia Tatiana, Jackson P. Ryan, Murphy Elizabeth A., Valocchi Albert J., Garcia Marcelo H.","journalName":"Ecological Modelling","publicationDate":"8/2013"},"contributors":{"authors":[{"text":"Garcia, Tatiana","contributorId":54870,"corporation":false,"usgs":true,"family":"Garcia","given":"Tatiana","affiliations":[],"preferred":false,"id":479759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","affiliations":[],"preferred":false,"id":479760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":479761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valocchi, Albert J.","contributorId":25062,"corporation":false,"usgs":true,"family":"Valocchi","given":"Albert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":479758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":479762,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70115138,"text":"70115138 - 2013 - Ice-age megafauna in Arctic Alaska: extinction, invasion, survival","interactions":[],"lastModifiedDate":"2014-07-01T14:46:36","indexId":"70115138","displayToPublicDate":"2013-06-15T14:33:42","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Ice-age megafauna in Arctic Alaska: extinction, invasion, survival","docAbstract":"Radical restructuring of the terrestrial, large mammal fauna living in arctic Alaska occurred between 14,000 and 10,000 years ago at the end of the last ice age. Steppe bison, horse, and woolly mammoth became extinct, moose and humans invaded, while muskox and caribou persisted. The ice age megafauna was more diverse in species and possibly contained 6× more individual animals than live in the region today. Megafaunal biomass during the last ice age may have been 30× greater than present. Horse was the dominant species in terms of number of individuals. Lions, short-faced bears, wolves, and possibly grizzly bears comprised the predator/scavenger guild. The youngest mammoth so far discovered lived ca 13,800 years ago, while horses and bison persisted on the North Slope until at least 12,500 years ago during the Younger Dryas cold interval. The first people arrived on the North Slope ca 13,500 years ago. Bone-isotope measurements and foot-loading characteristics suggest megafaunal niches were segregated along a moisture gradient, with the surviving species (muskox and caribou) utilizing the warmer and moister portions of the vegetation mosaic. As the ice age ended, the moisture gradient shifted and eliminated habitats utilized by the dryland, grazing species (bison, horse, mammoth). The proximate cause for this change was regional paludification, the spread of organic soil horizons and peat. End-Pleistocene extinctions in arctic Alaska represent local, not global extinctions since the megafaunal species lost there persisted to later times elsewhere. Hunting seems unlikely as the cause of these extinctions, but it cannot be ruled out as the final blow to megafaunal populations that were already functionally extinct by the time humans arrived in the region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Science Reviews","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2013.03.015","usgsCitation":"Mann, D.H., Groves, P., Kunz, M.L., Reanier, R.E., and Gaglioti, B.V., 2013, Ice-age megafauna in Arctic Alaska: extinction, invasion, survival: Quaternary Science Reviews, v. 70, p. 91-108, https://doi.org/10.1016/j.quascirev.2013.03.015.","productDescription":"18 p.","startPage":"91","endPage":"108","numberOfPages":"18","ipdsId":"IP-044826","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":289342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289341,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quascirev.2013.03.015"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.85,68.0 ], [ -166.85,71.39 ], [ -141.0,71.39 ], [ -141.0,68.0 ], [ -166.85,68.0 ] ] ] } } ] }","volume":"70","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b3d868e4b07c5f79a7f33b","contributors":{"authors":[{"text":"Mann, Daniel H.","contributorId":67010,"corporation":false,"usgs":true,"family":"Mann","given":"Daniel","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":495577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groves, Pamela","contributorId":7191,"corporation":false,"usgs":true,"family":"Groves","given":"Pamela","affiliations":[],"preferred":false,"id":495575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunz, Michael L.","contributorId":50820,"corporation":false,"usgs":true,"family":"Kunz","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":495576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reanier, Richard E.","contributorId":77850,"corporation":false,"usgs":true,"family":"Reanier","given":"Richard","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":495578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaglioti, Benjamin V. 0000-0003-0591-5253 bgaglioti@usgs.gov","orcid":"https://orcid.org/0000-0003-0591-5253","contributorId":4521,"corporation":false,"usgs":true,"family":"Gaglioti","given":"Benjamin","email":"bgaglioti@usgs.gov","middleInitial":"V.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":495574,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70160592,"text":"70160592 - 2013 - Interactions between invasive round gobies (<i>Neogobius melanostomous</i>) and fantail darters (<i>Etheostoma flabellare</i>) in a tributary of the St. Lawrence River, New York, USA","interactions":[],"lastModifiedDate":"2015-12-23T15:07:09","indexId":"70160592","displayToPublicDate":"2013-06-14T16:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Interactions between invasive round gobies (<i>Neogobius melanostomous</i>) and fantail darters (<i>Etheostoma flabellare</i>) in a tributary of the St. Lawrence River, New York, USA","docAbstract":"<p>The initial, rapid expansion of the invasive round goby (<i>Neogobius melanostomus</i>) throughout the Great Lakes drainage was largely confined to lentic systems. We recently observed round gobies ascending two tributaries of the St. Lawrence River. The expansion of gobies into small lotic environments may place ecologically similar species at risk. Fantail darter (<i>Etheostoma flabellare</i>) is one of the several benthic species of the New York Great Lakes drainages that are threatened by round goby invasion. We examined the habitat use and diet composition of fantail darters and round gobies in Mullet Creek, a third-order tributary of the St. Lawrence River, NY, USA. The objectives of this study were to determine the degree of habitat and diet overlap between fantail darters and round gobies in a tributary of the St. Lawrence River. Gobies and darters co-occurred at 22% of capture sites. Of the four habitat variables examined (cover, depth, substrate and velocity), only depth use was significantly different with gobies using deeper habitats than darters. Among the two species and size classes sampled (large vs. small), large darters had the most restricted habitat use requirements. There was variation in round goby and darter diet composition, but only moderate diet overlap occurred between fantail darters and round gobies (C&lambda; = 0.43). Conditions in Mullet Creek were appropriate for the evaluation of possible spatial and dietary competition between round goby and native darters. Early detection and management of round goby invasions is critical to maintaining ecological integrity of lotic ecosystems in the St. Lawrence Valley.</p>","language":"English","publisher":"Oikos","publisherLocation":"La Crosse, WI","doi":"10.1080/02705060.2013.794165","usgsCitation":"Abbett, R., Waldt, E.M., Johnson, J.H., McKenna, J., and Dittman, D.E., 2013, Interactions between invasive round gobies (<i>Neogobius melanostomous</i>) and fantail darters (<i>Etheostoma flabellare</i>) in a tributary of the St. Lawrence River, New York, USA: Journal of Freshwater Ecology, v. 28, no. 4, p. 529-537, https://doi.org/10.1080/02705060.2013.794165.","productDescription":"9 p.","startPage":"529","endPage":"537","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045537","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473743,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2013.794165","text":"Publisher Index Page"},{"id":312842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Mullet Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.92668533325195,\n              44.26278129912987\n            ],\n            [\n              -75.92702865600586,\n              44.26062990332075\n            ],\n            [\n              -75.94608306884766,\n              44.25509738116734\n            ],\n            [\n              -75.9528636932373,\n              44.25306865928177\n            ],\n            [\n              -75.95612525939941,\n              44.25485147921172\n     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jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":627,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","email":"jemckenna@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583227,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dittman, Dawn E. 0000-0002-0711-3732 ddittman@usgs.gov","orcid":"https://orcid.org/0000-0002-0711-3732","contributorId":2762,"corporation":false,"usgs":true,"family":"Dittman","given":"Dawn","email":"ddittman@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583225,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046538,"text":"sir20135123 - 2013 - Hydrogeologic framework, arsenic distribution, and groundwater geochemistry of the glacial-sediment aquifer at the Auburn Road landfill superfund site, Londonderry, New Hampshire","interactions":[],"lastModifiedDate":"2013-06-14T09:26:49","indexId":"sir20135123","displayToPublicDate":"2013-06-14T00:00:00","publicationYear":"2013","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":"2013-5123","title":"Hydrogeologic framework, arsenic distribution, and groundwater geochemistry of the glacial-sediment aquifer at the Auburn Road landfill superfund site, Londonderry, New Hampshire","docAbstract":"Leachate continues to be generated from landfills at the Auburn Road Landfill Superfund Site in Londonderry, New Hampshire. Impermeable caps on the three landfills at the site inhibit direct infiltration of precipitation; however, high water-table conditions allow groundwater to interact with landfill materials from below, creating leachate and ultimately reducing conditions in downgradient groundwater. Reducing conditions can facilitate arsenic transport by allowing it to stay in solution or by liberating arsenic adsorbed to surfaces and from geologic sources, such as glacial sediments and bedrock.\n\nThe site occupies a 180-acre parcel of land containing streams, ponds, wetlands, and former gravel pits located in glacial sediment. Four areas, totaling 14 acres, including three landfills and one septage lagoon, were used for waste disposal. The site was closed in 1980 after volatile organic compounds associated with industrial waste dumping were detected. The site was added to the U.S. Environmental Protection Agency National Priority List in 1982, and the landfills were capped in 1996. Although volatile organic compound concentrations in groundwater have declined substantially, some measurable concentrations remain. Temporally variable and persistent elevated arsenic concentrations have been measured in groundwater affected by the landfill leachate.\n\nMicrobial consumption of carbon found in leachate is a driver of reducing conditions that liberate arsenic at the site. In addition to sources of carbon in landfill leachate, wetland areas throughout the site also could contribute carbon to groundwater, but it is currently unknown if any of the wetland areas have downward or reversing gradients that could allow the infiltration of surface water to groundwater. Red-stained sediments and water indicate iron-rich groundwater discharge to surface water and are also associated with elevated concentrations of arsenic in sediment and groundwater. Ironrich groundwater seeps have been observed in the wetland, streams, and pond downgradient of the landfills. Piezometers were installed in some of these locations to confirm groundwater discharge, measure vertical-flow gradients, and to provide a way to sample the discharging groundwater.\n\nUnderstanding the movement of leachate in groundwater is complicated by the presence of preferential flow paths through aquifer materials with differing hydraulic properties; these preferential flow paths can affect rates of recharge, geochemical conditions, and contaminant fluxes. In areas adjacent to the three capped landfills, infiltration of precipitation containing oxygenated water through permeable deltaic sediments in the former gravel pit area causes increases in dissolved oxygen concentrations and decreases in arsenic concentrations. Layered deltaic sediments produce anisotropic hydraulic characteristics and zones of high hydraulic conductivity. The glacial-sediment aquifer also includes glaciolacustrine sediments that have low permeability and limit infiltration at the surface\n\nDischarge of leachate-affected groundwater may be limited in areas of organic muck on the bottom of Whispering Pines Pond because the muck may act as a semiconfining layer. Geophysical survey results were used to identify several areas with continuous beds of muck and an underlying highresistivity layer on top of a layer of low resistivity that may represent leachate-affected groundwater. The high-resistivity layer is likely groundwater associated with oxygenated recharge, which would cause arsenic to adsorb onto aquifer sediments and reduce concentrations of dissolved arsenic in groundwater.\n\nSurface and borehole geophysical data collected in 2011 were used to identify potentially high-permeability or contaminated zones in the aquifer (preferential flowpaths) as well as low-permeability zones that may promote contamination through back diffusion. Some groundwater in parts of the glacial-sediment aquifer where the leachate plumes were present had low electrical resistivity, low dissolved oxygen, and high concentrations of arsenic. Low-resistivity zones in the underlying bedrock were associated with fractures that also may contain leachate. Although surveying the fractured bedrock was not a specific objective of this study, the results suggest that such a survey would help to determine if leachate and associated concentrations of arsenic are migrating downward into the fractured-bedrock-aquifer system.\n\nAn uncalibrated, one-dimensional, reactive-transport model was used to assess several conditions that affect arsenic mobility. The results indicate that reductive dissolution and desorption from glacial sediments control dissolved arsenic concentrations. Parameter sensitivity analysis was used to identify key data that are needed in order to accurately assess the time required for arsenic concentrations to fall to levels below the maximum contaminant level at the site. Quantifying this time will require accurate characterization of carbon, sediment-surface sorption sites, and groundwater fluxes at the site.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135123","collaboration":"Prepared in cooperation with the New Hampshire Department of Environmental Services and in collaboration with the U.S. Environmental Protection Agency","usgsCitation":"Degnan, J.R., and Harte, P.T., 2013, Hydrogeologic framework, arsenic distribution, and groundwater geochemistry of the glacial-sediment aquifer at the Auburn Road landfill superfund site, Londonderry, New Hampshire: U.S. Geological Survey Scientific Investigations Report 2013-5123, vii, 58 p., https://doi.org/10.3133/sir20135123.","productDescription":"vii, 58 p.","numberOfPages":"70","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":273707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135123.gif"},{"id":273705,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5123/"},{"id":273706,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5123/pdf/sir2013-5123_report_508.pdf"}],"country":"United States","state":"New Hampshire","city":"Londonderry","otherGeospatial":"Auburn Road Landfill","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.358333,42.929167 ], [ -71.358333,42.940278 ], [ -71.345833,42.940278 ], [ -71.345833,42.929167 ], [ -71.358333,42.929167 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51bc2d5ce4b0c04034a01c78","contributors":{"authors":[{"text":"Degnan, James R. 0000-0002-5665-9010 jrdegnan@usgs.gov","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":498,"corporation":false,"usgs":true,"family":"Degnan","given":"James","email":"jrdegnan@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479781,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046607,"text":"70046607 - 2013 - Selective predation by feral cats on a native skink on Guam","interactions":[],"lastModifiedDate":"2013-06-14T20:44:14","indexId":"70046607","displayToPublicDate":"2013-06-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3263,"text":"Reptiles & Amphibians","active":true,"publicationSubtype":{"id":10}},"title":"Selective predation by feral cats on a native skink on Guam","docAbstract":"Two species of skinks (Fig. 1) occur in a 5-ha plot on Guam where we have been conducting intensive research on Brown Treesnake (Boiga irregularis) population biology for nearly a decade (Rodda et al. 2007). The Pacific Blue-tailed Skink (Emoia caeruleocauda [de Vis 1892]) is native to Guam, whereas the Curious Skink (Carlia ailanpalai Zug 2004) is invasive. On the evening of 27 November 2012, PML and MSP discovered a pile of vomited skinks (Fig. 2) inside the plot (UTM 55P: 269125 m E, 1508930 m N).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Reptiles & Amphibians","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Reptile Conservation Foundation","usgsCitation":"Lardner, B., Reed, R., Adams, A.A., Mazurek, M., Hinkle, T.J., Levasseur, P.M., Palmer, M.S., and Savidge, J., 2013, Selective predation by feral cats on a native skink on Guam: Reptiles & Amphibians, v. 20, no. 1, p. 16-19.","productDescription":"4 p.","startPage":"16","endPage":"19","ipdsId":"IP-044816","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":273750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273749,"type":{"id":15,"text":"Index Page"},"url":"https://www.ircf.org/journal/volume-20-no-1-march/"}],"otherGeospatial":"Guam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.6184,13.2462 ], [ 144.6184,13.6542 ], [ 144.9565,13.6542 ], [ 144.9565,13.2462 ], [ 144.6184,13.2462 ] ] ] } } ] }","volume":"20","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51bc2d5de4b0c04034a01c88","contributors":{"authors":[{"text":"Lardner, Björn","contributorId":101974,"corporation":false,"usgs":true,"family":"Lardner","given":"Björn","affiliations":[],"preferred":false,"id":479862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Robert N.","contributorId":10115,"corporation":false,"usgs":true,"family":"Reed","given":"Robert N.","affiliations":[],"preferred":false,"id":479855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Amy A. Yackel","contributorId":78230,"corporation":false,"usgs":true,"family":"Adams","given":"Amy","email":"","middleInitial":"A. Yackel","affiliations":[],"preferred":false,"id":479860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazurek, M.J.","contributorId":25066,"corporation":false,"usgs":true,"family":"Mazurek","given":"M.J.","affiliations":[],"preferred":false,"id":479858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hinkle, Thomas J.","contributorId":81783,"corporation":false,"usgs":true,"family":"Hinkle","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":479861,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Levasseur, Patricia M.","contributorId":62118,"corporation":false,"usgs":true,"family":"Levasseur","given":"Patricia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479859,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Palmer, Meredith S.","contributorId":20638,"corporation":false,"usgs":true,"family":"Palmer","given":"Meredith","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":479857,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Savidge, Julie A.","contributorId":10225,"corporation":false,"usgs":true,"family":"Savidge","given":"Julie A.","affiliations":[],"preferred":false,"id":479856,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70046576,"text":"fs20133021 - 2013 - Modeled future peak streamflows in four coastal Maine rivers","interactions":[],"lastModifiedDate":"2022-11-21T20:04:49.494775","indexId":"fs20133021","displayToPublicDate":"2013-06-14T00:00:00","publicationYear":"2013","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":"2013-3021","title":"Modeled future peak streamflows in four coastal Maine rivers","docAbstract":"To safely and economically design bridges and culverts, it is necessary to compute the magnitude of peak streamflows that have specified annual exceedance probabilities (AEPs). These peak flows are also needed for effective floodplain management. Annual precipitation and air temperature in the northeastern United States are in general projected to increase during the 21st century (Hayhoe and other, 2007). It is therefore important for engineers and resource managers to understand how peak flows may change in the future. This Fact Sheet, prepared in cooperation with the Maine Department of Transportation, presents a summary of modeled changes in peak flows at four basins in coastal Maine on the basis of projected changes in air temperature and precipitation. The full Scientific Investigations Report (Hodgkins and Dudley, 2013) is available at http://pubs.usgs.gov/sir/2013/5080/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133021","collaboration":"Prepared in cooperation with the Maine Department of Transportation","usgsCitation":"Hodgkins, G.A., and Dudley, R.W., 2013, Modeled future peak streamflows in four coastal Maine rivers: U.S. Geological Survey Fact Sheet 2013-3021, 4 p., https://doi.org/10.3133/fs20133021.","productDescription":"4 p.","onlineOnly":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":273731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133021.gif"},{"id":273730,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3021/pdf/fs2013-3021.pdf"},{"id":273729,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3021/"}],"country":"United States","state":"Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -70.86751133164161,\n              45.74318793464616\n            ],\n            [\n              -70.86751133164161,\n              43.54298812316884\n            ],\n            [\n              -66.87275234927932,\n              43.54298812316884\n            ],\n            [\n              -66.87275234927932,\n              45.74318793464616\n            ],\n            [\n              -70.86751133164161,\n              45.74318793464616\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51bc2d5ce4b0c04034a01c7c","contributors":{"authors":[{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479821,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046577,"text":"sir20135080 - 2013 - Modeled future peak streamflows in four coastal Maine rivers","interactions":[],"lastModifiedDate":"2022-11-21T20:37:41.262194","indexId":"sir20135080","displayToPublicDate":"2013-06-14T00:00:00","publicationYear":"2013","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":"2013-5080","title":"Modeled future peak streamflows in four coastal Maine rivers","docAbstract":"To safely and economically design bridges and culverts, it is necessary to compute the magnitude of peak streamflows that have specified annual exceedance probabilities (AEPs). Annual precipitation and air temperature in the northeastern United States are, in general, projected to increase during the 21st century. It is therefore important for engineers and resource managers to understand how peak flows may change in the future. This report, prepared in cooperation with the Maine Department of Transportation (MaineDOT), presents modeled changes in peak flows at four basins in coastal Maine on the basis of projected changes in air temperature and precipitation. To estimate future peak streamflows at the four basins in this study, historical values for climate (temperature and precipitation) in the basins were adjusted by different amounts and input to a hydrologic model of each study basin. To encompass the projected changes in climate in coastal Maine by the end of the 21st century, air temperatures were adjusted by four different amounts, from -3.6 degrees Fahrenheit (ºF) (-2 degrees Celsius (ºC)) to +10.8 ºF (+6 ºC) of observed temperatures. Precipitation was adjusted by three different percentage values from -15 percent to +30 percent of observed precipitation. The resulting 20 combinations of temperature and precipitation changes (includes the no-change scenarios) were input to Precipitation-Runoff Modeling System (PRMS) watershed models, and annual daily maximum peak flows were calculated for each combination. Modeled peak flows from the adjusted changes in temperature and precipitation were compared to unadjusted (historical) modeled peak flows. Annual daily maximum peak flows increase or decrease, depending on whether temperature or precipitation is adjusted; increases in air temperature (with no change in precipitation) lead to decreases in peak flows, whereas increases in precipitation (with no change in temperature) lead to increases in peak flows. As the magnitude of air temperatures increase in the four basins, peak flows decrease by larger amounts. If precipitation is held constant (no change from historical values), 17 to 26 percent decreases in peak flow occur at the four basins when temperature is increased by 7.2°F. If temperature is held constant, 26 to 38 percent increases in peak flow result from a 15-percent increase in precipitation. The largest decreases in peak flows at the four basins result from 15-percent decreases in precipitation combined with temperature increases of 10.8°F. The largest increases in peak flows generally result from 30-percent increases in precipitation combined with 3.6 °F decreases in temperatures. In many cases when temperature and precipitation both increase, small increases or decreases in annual daily maximum peak flows result. For likely changes projected for the northeastern United States for the middle of the 21st century (temperature increase of 3.6 °F and precipitation increases of 0 to 15 percent), peak-flow changes at the four coastal Maine basins in this study are modeled to be evenly distributed between increases and decreases of less than 25 percent. Peak flows with 50-percent and 1-percent AEPs (equivalent to 2-year and 100-year recurrence interval peak flows, respectively) were calculated for the four basins in the study using the PRMS-modeled annual daily maximum peak flows. Modeled peak flows with 50-percent and 1-percent AEPs with adjusted temperatures and precipitation were compared to unadjusted (historical) modeled values. Changes in peak flows with 50-percent AEPs are similar to changes in annual daily maximum peak flow; changes in peak flows with 1-percent AEPs are similar in pattern to changes in annual daily maximum peak flow, but some of the changes associated with increasing precipitation are much larger than changes in annual daily maximum peak flow. Substantial decreases in maximum annual winter snowpack water equivalent are modeled to occur with increasing air temperatures at the four basins in the study. (Snowpack is the snow on the ground that accumulates during a winter, and water equivalent is the amount of water in a snowpack if it were melted.) The decrease in modeled peak flows with increasing air temperature, given no change in precipitation amount, is likely caused by these decreases in winter snowpack and resulting decreases in snowmelt runoff. This Scientific Investigations Report, prepared in cooperation with the Maine Department of Transportation, presents a summary of modeled changes in peak flows at four basins in coastal Maine on the basis of projected changes in air temperature and precipitation. The full Fact Sheet (Hodgkins and Dudley, 2013) is available at http://pubs.usgs.gov/fs/2013/3021/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135080","collaboration":"Prepared in cooperation with the Maine Department of Transportation","usgsCitation":"Hodgkins, G.A., and Dudley, R.W., 2013, Modeled future peak streamflows in four coastal Maine rivers: U.S. Geological Survey Scientific Investigations Report 2013-5080, iv, 20 p., https://doi.org/10.3133/sir20135080.","productDescription":"iv, 20 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":273734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135080.gif"},{"id":273733,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5080/pdf/sir2013-5080.pdf"},{"id":273732,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5080/"}],"country":"United States","state":"Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -70.86751133164161,\n              45.74318793464616\n            ],\n            [\n              -70.86751133164161,\n              43.54298812316884\n            ],\n            [\n              -66.87275234927932,\n              43.54298812316884\n            ],\n            [\n              -66.87275234927932,\n              45.74318793464616\n            ],\n            [\n              -70.86751133164161,\n              45.74318793464616\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51bc2d5ce4b0c04034a01c80","contributors":{"authors":[{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479823,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046578,"text":"ofr20131096 - 2013 - Geologic map of southwestern Sequoia National Park, Tulare County, California","interactions":[],"lastModifiedDate":"2013-06-14T15:25:26","indexId":"ofr20131096","displayToPublicDate":"2013-06-14T00:00:00","publicationYear":"2013","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":"2013-1096","title":"Geologic map of southwestern Sequoia National Park, Tulare County, California","docAbstract":"This map shows the geology of 675 km<sup>2</sup> (260 mi<sup>2</sup>) on the west slope of the Sierra Nevada, California, mainly in Sequoia National Park and Sequoia National Forest. It was produced by the U.S. Geological Survey (USGS) at the request of the National Park Service to complete the geologic map coverage of Kings Canyon and Sequoia National Parks. The area includes the Mineral King 15’ topographic quadrangle (sheet 1) and strips along the east and northeast edges of the Kaweah 15’ topographic quadrangle (sheet 2), both in Tulare County. Mapping was performed mainly on the 1:24,000-scale Mineral King, Silver City, Quinn Peak, Moses Mountain, Case Mountain, and Dennison Peak 7.5’ topographic quadrangle bases. Rocks within the study area are chiefly Cretaceous granites and granodiorites of the Sierra Nevada batholith that intruded coherent masses of Mesozoic metasedimentary and metavolcanic rocks. Quaternary till and talus are the principal surficial deposits, with the exception of a large bouldery alluvial apron near the southwest corner of the map area. The study area includes the headwaters of the Kaweah River (East and South Forks), Tule River (North Fork and North Fork of the Middle Fork), and the Little Kern River. Relief is considerable, with elevations spanning from 1,500 feet along the Middle Fork Kaweah River to 12,432 feet at the summit of Florence Peak along the crest of the Great Western Divide.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131096","collaboration":"Prepared in cooperation with the <a href=\" http://www.nps.gov/seki/index.htm\" target=\"_blank\">National Park Service</a>","usgsCitation":"Sisson, T.W., and Moore, J.G., 2013, Geologic map of southwestern Sequoia National Park, Tulare County, California: U.S. Geological Survey Open-File Report 2013-1096, Pamphlet: ii, 27 p.; 2 Sheets: 38.40 x 52.04 inches;  Readme file; Metadata folder; Data folder, https://doi.org/10.3133/ofr20131096.","productDescription":"Pamphlet: ii, 27 p.; 2 Sheets: 38.40 x 52.04 inches;  Readme file; Metadata folder; Data folder","numberOfPages":"29","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":619,"text":"Volcano Science Center-Menlo Park","active":false,"usgs":true}],"links":[{"id":273742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131096.gif"},{"id":273737,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1096/of2013-1096_sheet1.pdf"},{"id":273738,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1096/of2013-1096_sheet2.pdf"},{"id":273739,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2013/1096/1_readme.txt"},{"id":273735,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1096/"},{"id":273736,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1096/of2013-1096_pamphlet.pdf"},{"id":273740,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2013/1096/metadata"},{"id":273741,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2013/1096/data"}],"country":"United States","state":"California","otherGeospatial":"Sequoia National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.92,36.29 ], [ -118.92,36.70 ], [ -118.23,36.70 ], [ -118.23,36.29 ], [ -118.92,36.29 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51bc2d5be4b0c04034a01c74","contributors":{"authors":[{"text":"Sisson, Thomas W. 0000-0003-3380-6425 tsisson@usgs.gov","orcid":"https://orcid.org/0000-0003-3380-6425","contributorId":2341,"corporation":false,"usgs":true,"family":"Sisson","given":"Thomas","email":"tsisson@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":479824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, James G. 0000-0002-7543-2401 jmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-7543-2401","contributorId":2892,"corporation":false,"usgs":true,"family":"Moore","given":"James","email":"jmoore@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":479825,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046587,"text":"70046587 - 2013 - Anatomy of La Jolla submarine canyon system; offshore southern California","interactions":[],"lastModifiedDate":"2022-02-01T21:29:03.612219","indexId":"70046587","displayToPublicDate":"2013-06-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Anatomy of La Jolla submarine canyon system; offshore southern California","docAbstract":"An autonomous underwater vehicle (AUV) carrying a multibeam sonar and a chirp profiler was used to map sections of the seafloor within the La Jolla Canyon, offshore southern California, at sub-meter scales. Close-up observations and sampling were conducted during remotely operated vehicle (ROV) dives. Minisparker seismic-reflection profiles from a surface ship help to define the overall geometry of the La Jolla Canyon especially with respect to the pre-canyon host sediments.\n\nThe floor of the axial channel is covered with unconsolidated sand similar to the sand on the shelf near the canyon head, lacks outcrops of the pre-canyon host strata, has an almost constant slope of 1.0° and is covered with trains of crescent shaped bedforms. The presence of modern plant material entombed within these sands confirms that the axial channel is presently active. The sand on the canyon floor liquefied during vibracore collection and flowed downslope, illustrating that the sediment filling the channel can easily fail even on this gentle slope.\n\nData from the canyon walls help constrain the age of the canyon and extent of incision. Horizontal beds of moderately cohesive fine-grained sediments exposed on the steep canyon walls are consistently less than 1.232 million years old. The lateral continuity of seismic reflectors in minisparker profiles indicate that pre-canyon host strata extend uninterrupted from outside the canyon underneath some terraces within the canyon. Evidence of abandoned channels and point bar-like deposits are noticeably absent on the inside bend of channel meanders and in the subsurface of the terraces. While vibracores from the surface of terraces contain thin (< 10 cm) turbidites, they are inferred to be part of a veneer of recent sediment covering pre-canyon host sediments that underpin the terraces. The combined use of state of the art seafloor mapping and exploration tools provides a uniquely detailed view of the morphology within an active submarine canyon.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2012.10.003","usgsCitation":"Paull, C.K., Caress, D., Lundsten, E., Gwiazda, R., Anderson, K., McGann, M., Conrad, J., Edwards, B., and Sumner, E., 2013, Anatomy of La Jolla submarine canyon system; offshore southern California: Marine Geology, v. 335, p. 16-34, https://doi.org/10.1016/j.margeo.2012.10.003.","productDescription":"19 p.","startPage":"16","endPage":"34","ipdsId":"IP-036805","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":273744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273743,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2012.10.003"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"335","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51bc2d53e4b0c04034a01c68","contributors":{"authors":[{"text":"Paull, C. K.","contributorId":86845,"corporation":false,"usgs":false,"family":"Paull","given":"C.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":479833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caress, D.W.","contributorId":14201,"corporation":false,"usgs":true,"family":"Caress","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":479826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lundsten, E.","contributorId":89756,"corporation":false,"usgs":true,"family":"Lundsten","given":"E.","email":"","affiliations":[],"preferred":false,"id":479834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gwiazda, R.","contributorId":64920,"corporation":false,"usgs":true,"family":"Gwiazda","given":"R.","affiliations":[],"preferred":false,"id":479830,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, K.","contributorId":43660,"corporation":false,"usgs":true,"family":"Anderson","given":"K.","affiliations":[],"preferred":false,"id":479828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGann, M. 0000-0002-3057-2945","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":49125,"corporation":false,"usgs":true,"family":"McGann","given":"M.","affiliations":[],"preferred":false,"id":479829,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conrad, J. 0000-0001-6655-694X","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":73828,"corporation":false,"usgs":true,"family":"Conrad","given":"J.","affiliations":[],"preferred":false,"id":479832,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Edwards, B. 0000-0002-4655-8208","orcid":"https://orcid.org/0000-0002-4655-8208","contributorId":65368,"corporation":false,"usgs":true,"family":"Edwards","given":"B.","affiliations":[],"preferred":false,"id":479831,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sumner, E.J.","contributorId":34415,"corporation":false,"usgs":true,"family":"Sumner","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":479827,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70046610,"text":"70046610 - 2013 - Coupled hydrogeomorphic and woody-seedling responses to controlled flood releases in a dryland river","interactions":[],"lastModifiedDate":"2013-07-15T09:44:13","indexId":"70046610","displayToPublicDate":"2013-06-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Coupled hydrogeomorphic and woody-seedling responses to controlled flood releases in a dryland river","docAbstract":"Interactions among flow, geomorphic processes, and riparian vegetation can strongly influence both channel form and vegetation communities. To investigate such interactions, we took advantage of a series of dam-managed flood releases that were designed in part to maintain a native riparian woodland system on a sand-bed, dryland river, the Bill Williams River, Arizona, USA. Our resulting multiyear flow experiment examined differential mortality among native and nonnative riparian seedlings, associated flood hydraulics and geomorphic changes, and the temporal evolution of feedbacks among vegetation, channel form, and hydraulics. We found that floods produced geomorphic and vegetation responses that varied with distance downstream of a dam, with scour and associated seedling mortality closer to the dam and aggradation and burial-induced mortality in a downstream reach. We also observed significantly greater mortality among nonnative tamarisk (Tamarix) seedlings than among native willow (Salix gooddingii) seedlings, reflecting the greater first-year growth of willow relative to tamarisk. When vegetation was small early in our study period, the effects of vegetation on flood hydraulics and on mediating flood-induced channel change were minimal. Vegetation growth in subsequent years resulted in stronger feedbacks, such that vegetation's stabilizing effect on bars and its drag effect on flow progressively increased, muting the geomorphic effects of a larger flood release. These observations suggest that the effectiveness of floods in producing geomorphic and ecological changes varies not only as a function of flood magnitude and duration, but also of antecedent vegetation density and size.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1002/wrcr.20256","usgsCitation":"Wilcox, A., and Shafroth, P.B., 2013, Coupled hydrogeomorphic and woody-seedling responses to controlled flood releases in a dryland river: Water Resources Research, v. 49, no. 5, p. 2843-2860, https://doi.org/10.1002/wrcr.20256.","productDescription":"18 p.","startPage":"2843","endPage":"2860","ipdsId":"IP-045475","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473744,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20256","text":"Publisher Index Page"},{"id":273746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273745,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20256"}],"country":"United States","state":"Arizona","otherGeospatial":"Bill Williams River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,31.33 ], [ -114.82,37.0 ], [ -109.05,37.0 ], [ -109.05,31.33 ], [ -114.82,31.33 ] ] ] } } ] }","volume":"49","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-05-28","publicationStatus":"PW","scienceBaseUri":"51bc2d5ae4b0c04034a01c6c","contributors":{"authors":[{"text":"Wilcox, Andrew C.","contributorId":25064,"corporation":false,"usgs":true,"family":"Wilcox","given":"Andrew C.","affiliations":[],"preferred":false,"id":479867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":479866,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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