{"pageNumber":"616","pageRowStart":"15375","pageSize":"25","recordCount":68919,"records":[{"id":70046204,"text":"70046204 - 2013 - Microbial community responses to 17 years of altered precipitation are seasonally dependent and coupled to co-varying effects of water content on vegetation and soil C","interactions":[],"lastModifiedDate":"2013-05-30T22:17:51","indexId":"70046204","displayToPublicDate":"2013-05-30T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3416,"text":"Soil Biology and Biochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Microbial community responses to 17 years of altered precipitation are seasonally dependent and coupled to co-varying effects of water content on vegetation and soil C","docAbstract":"Precipitation amount and seasonal timing determine the duration and distribution of water available for plant and microbial activity in the cold desert sagebrush steppe. In this study, we sought to determine if a sustained shift in the amount and timing of precipitation would affect soil microbial diversity, community composition, and soil carbon (C) storage. Field plots were irrigated (+200 mm) during the dormant or growing-season for 17 years. Microbial community responses were assessed over the course of a year at two depths (15–20 cm, 95–100 cm) by terminal restriction fragment length polymorphism (T-RFLP), along with co-occurring changes in plant cover and edaphic properties. Bacterial richness, Shannon Weaver diversity, and composition in shallow soils (15–20 cm) as well as evenness in deep soils (95–100 cm) differed across irrigation treatments during July. Irrigation timing affected fungal community diversity and community composition during the dormant season and most strongly in deep soils (95–100 cm). Dormant-season irrigation increased the ratio of shrubs to forbs and reduced soil C in shallow soils by 16% relative to ambient conditions. It is unclear whether or not soil C will continue to decline with continued treatment application or if microbial adaptation could mitigate sustained soil C losses. Future changes in precipitation timing will affect soil microbes in a seasonally dependent manner and be coupled to co-varying effects of water content on vegetation and soil C.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Soil Biology and Biochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.soilbio.2013.04.014","usgsCitation":"Sorensen, P.O., Germino, M., and Feris, K.P., 2013, Microbial community responses to 17 years of altered precipitation are seasonally dependent and coupled to co-varying effects of water content on vegetation and soil C: Soil Biology and Biochemistry, v. 64, p. 155-163, https://doi.org/10.1016/j.soilbio.2013.04.014.","productDescription":"9 p.","startPage":"155","endPage":"163","ipdsId":"IP-044329","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":273042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273041,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.soilbio.2013.04.014"}],"volume":"64","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a866d9e4b082d85d5ed877","contributors":{"authors":[{"text":"Sorensen, Patrick O.","contributorId":55719,"corporation":false,"usgs":true,"family":"Sorensen","given":"Patrick","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":479159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J.","contributorId":50029,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[],"preferred":false,"id":479157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feris, Kevin P.","contributorId":51188,"corporation":false,"usgs":true,"family":"Feris","given":"Kevin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":479158,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046156,"text":"sir20135061 - 2013 - Transport of nitrogen in a treated-wastewater plume to coastal discharge areas, Ashumet Valley, Cape Cod, Massachusetts","interactions":[],"lastModifiedDate":"2013-05-29T11:59:56","indexId":"sir20135061","displayToPublicDate":"2013-05-29T00:00:00","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":"2013-5061","title":"Transport of nitrogen in a treated-wastewater plume to coastal discharge areas, Ashumet Valley, Cape Cod, Massachusetts","docAbstract":"Land disposal of treated wastewater from a treatment plant on the Massachusetts Military Reservation in operation from 1936 to 1995 has created a plume of contaminated groundwater that is migrating toward coastal discharge areas in the town of Falmouth, Massachusetts. To develop a better understanding of the potential impact of the treated-wastewater plume on coastal discharge areas, the U.S. Geological Survey, in cooperation with the Air Force Center for Engineering and the Environment, evaluated the fate of nitrogen (N) in the plume. Groundwater samples from two large sampling events in 1994 and 2007 were used to map the size and location of the plume, calculate the masses of nitrate-N and ammonium-N, evaluate changes in mass since cessation of disposal in 1995, and create a gridded dataset suitable for use in nitrogen-transport simulations. In 2007, the treated-wastewater plume was about 1,200 meters (m) wide, 30 m thick, and 7,700 m long and contained approximately 87,000 kilograms (kg) nitrate-N and 31,600 kg total ammonium-N. An analysis of previous studies and data from 1994 and 2007 sampling events suggests that most of biologically reactive nitrogen in the plume in 2007 will be transported to coastal discharge areas as either nitrate or ammonium with relatively little transformation to an environmentally nonreactive end product such as nitrogen gas.\n\nNitrogen-transport simulations were conducted with a previously calibrated regional three-dimensional MODFLOW groundwater flow model. Mass-loaded particle tracking was used to simulate the advective transport of nitrogen to discharge areas (or receptors) along the coast. In the simulations, nonreactive transport (no mass loss in the aquifer) was assumed, providing an upper-end estimate of nitrogen loads to receptors. Simulations indicate that approximately 95 percent of the nitrate-N and 99 percent of the ammonium-N in the wastewater plume will eventually discharge to the Coonamessett River, Backus River, Green Pond, and Bournes River. Approximately 76 percent of the total nitrate-N mass in the plume will discharge to these receptors within 100 years of 2007; 90 and 94 percent will discharge within 200 and 500 years, respectively. Nitrate loads will peak within about 50 years at all of the major receptors. The highest peak loads will occur at the Coonamessett River (450 kg per year (kg/yr) nitrate-N) and the Backus River (350 kg/yr nitrate-N). Because of adsorption, travel times are longer for ammonium than for nitrate; approximately 5 percent of the total ammonium-N mass in the plume will discharge to receptors within 100 years; 46 and 81 percent will discharge within 200 and 500 years, respectively. The simulations indicate that the Coonamessett River will receive the largest cumulative nitrogen mass and the highest rate of discharge (load). Ongoing discharge to Ashumet Pond is relatively minor because most of the wastewater plume mass has already migrated downgradient from the pond.\n\nTo evaluate the contribution of the nitrogen loads from the treated-wastewater plume to total nitrogen loads to the discharge areas, the simulated treated-wastewater plume loads were compared to steady-state nonpoint-source loads calculated by the Massachusetts Estuaries Project for 2005. Simulation results indicate that the total nitrogen loads from the treated-wastewater plume are much lower than corresponding steady-state nonpoint-source loads from the watersheds; peak plume loads are equal to 11 percent or less of the nonpoint-source loads.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135061","collaboration":"Toxic Substances Hydrology Program Prepared in cooperation with the Air Force Center for Engineering and the Environment","usgsCitation":"Barbaro, J.R., Walter, D.A., and LeBlanc, D.R., 2013, Transport of nitrogen in a treated-wastewater plume to coastal discharge areas, Ashumet Valley, Cape Cod, Massachusetts: U.S. Geological Survey Scientific Investigations Report 2013-5061, v, 37 p., https://doi.org/10.3133/sir20135061.","productDescription":"v, 37 p.","numberOfPages":"48","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":272958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135061.gif"},{"id":272956,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5061/"},{"id":272957,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5061/pdf/sir2013-5061_barbaro_508.pdf"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.649578,41.542017 ], [ -70.649578,42.075706 ], [ -69.943322,42.075706 ], [ -69.943322,41.542017 ], [ -70.649578,41.542017 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a71567e4b09db86f875c8b","contributors":{"authors":[{"text":"Barbaro, Jeffrey R. 0000-0002-6107-2142 jrbarbar@usgs.gov","orcid":"https://orcid.org/0000-0002-6107-2142","contributorId":1626,"corporation":false,"usgs":true,"family":"Barbaro","given":"Jeffrey","email":"jrbarbar@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479067,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046145,"text":"70046145 - 2013 - Foraging area fidelity for Kemp's ridleys in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2013-11-06T13:47:05","indexId":"70046145","displayToPublicDate":"2013-05-29T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Foraging area fidelity for Kemp's ridleys in the Gulf of Mexico","docAbstract":"For many marine species, locations of key foraging areas are not well defined. We used satellite telemetry and switching state-space modeling (SSM) to identify distinct foraging areas used by Kemp's ridley turtles (<i>Lepidochelys kempii</i>) tagged after nesting during 1998–2011 at Padre Island National Seashore, Texas, USA (PAIS; N = 22), and Rancho Nuevo, Tamaulipas, Mexico (RN; N = 9). Overall, turtles traveled a mean distance of 793.1 km (±347.8 SD) to foraging sites, where 24 of 31 turtles showed foraging area fidelity (FAF) over time (N = 22 in USA, N = 2 in Mexico). Multiple turtles foraged along their migratory route, prior to arrival at their \"final\" foraging sites. We identified new foraging \"hotspots\" where adult female Kemp's ridley turtles spent 44% of their time during tracking (i.e., 2641/6009 tracking days in foraging mode). Nearshore Gulf of Mexico waters served as foraging habitat for all turtles tracked in this study; final foraging sites were located in water <68 m deep and a mean distance of 33.2 km (±25.3 SD) from the nearest mainland coast. Distance to release site, distance to mainland shore, annual mean sea surface temperature, bathymetry, and net primary production were significant predictors of sites where turtles spent large numbers of days in foraging mode. Spatial similarity of particular foraging sites selected by different turtles over the 13-year tracking period indicates that these areas represent critical foraging habitat, particularly in waters off Louisiana. Furthermore, the wide distribution of foraging sites indicates that a foraging corridor exists for Kemp's ridleys in the Gulf. Our results highlight the need for further study of environmental and bathymetric components of foraging sites and prey resources contained therein, as well as international cooperation to protect essential at-sea foraging habitats for this imperiled species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons Ltd.","doi":"10.1002/ece3.594","usgsCitation":"Shaver, D.J., Hart, K.M., Fujisaki, I., Rubio, C., Sartain-Iverson, A.R., Peña, J., Burchfield, P.M., Gamez, D.G., and Ortiz, J., 2013, Foraging area fidelity for Kemp's ridleys in the Gulf of Mexico: Ecology and Evolution, v. 3, no. 7, p. 2002-2012, https://doi.org/10.1002/ece3.594.","productDescription":"11 p.","startPage":"2002","endPage":"2012","numberOfPages":"11","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473809,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.594","text":"Publisher Index Page"},{"id":272935,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272934,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ece3.594"}],"otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.86,18.18 ], [ -97.86,30.4 ], [ -81.04,30.4 ], [ -81.04,18.18 ], [ -97.86,18.18 ] ] ] } } ] }","volume":"3","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-05-28","publicationStatus":"PW","scienceBaseUri":"51a71565e4b09db86f875c73","contributors":{"authors":[{"text":"Shaver, Donna J.","contributorId":11104,"corporation":false,"usgs":true,"family":"Shaver","given":"Donna","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":479035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":479033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fujisaki, Ikuko","contributorId":31108,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":479036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rubio, Cynthia","contributorId":39277,"corporation":false,"usgs":true,"family":"Rubio","given":"Cynthia","email":"","affiliations":[],"preferred":false,"id":479039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sartain-Iverson, Autumn R. 0000-0002-8353-6745 asartain@usgs.gov","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":5477,"corporation":false,"usgs":true,"family":"Sartain-Iverson","given":"Autumn","email":"asartain@usgs.gov","middleInitial":"R.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":479034,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peña, Jaime","contributorId":34810,"corporation":false,"usgs":true,"family":"Peña","given":"Jaime","affiliations":[],"preferred":false,"id":479038,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burchfield, Patrick M.","contributorId":47676,"corporation":false,"usgs":true,"family":"Burchfield","given":"Patrick","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479040,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gamez, Daniel Gomez","contributorId":32065,"corporation":false,"usgs":true,"family":"Gamez","given":"Daniel","email":"","middleInitial":"Gomez","affiliations":[],"preferred":false,"id":479037,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ortiz, Jaime","contributorId":77447,"corporation":false,"usgs":true,"family":"Ortiz","given":"Jaime","email":"","affiliations":[],"preferred":false,"id":479041,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70046147,"text":"ds748 - 2013 - USGS Arctic Ocean carbon cruise 2011: field activity H-01-11-AR to collect carbon data in the Arctic Ocean, August - September 2011","interactions":[],"lastModifiedDate":"2013-05-29T11:10:55","indexId":"ds748","displayToPublicDate":"2013-05-29T00:00:00","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":"748","title":"USGS Arctic Ocean carbon cruise 2011: field activity H-01-11-AR to collect carbon data in the Arctic Ocean, August - September 2011","docAbstract":"Carbon dioxide (CO<sub>2</sub>) in the atmosphere is absorbed at the surface of the ocean by reacting with seawater to form a weak, naturally occurring acid called carbonic acid. As atmospheric carbon dioxide increases, the concentration of carbonic acid in seawater also increases, causing a decrease in ocean pH and carbonate mineral saturation states, a process known as ocean acidification. The oceans have absorbed approximately 525 billion tons of carbon dioxide from the atmosphere, or about one-quarter to one-third of the anthropogenic carbon emissions released since the beginning of the Industrial Revolution (Sabine and others, 2004). Global surveys of ocean chemistry have revealed that seawater pH has decreased by about 0.1 units (from a pH of 8.2 to 8.1) since the 1700s due to absorption of carbon dioxide (Caldeira and Wickett, 2003; Orr and others, 2005; Raven and others, 2005). Modeling studies, based on Intergovernmental Panel on Climate Change (IPCC) CO<sub>2</sub> emission scenarios, predict that atmospheric carbon dioxide levels could reach more than 500 parts per million (ppm) by the middle of this century and 800 ppm by the year 2100, causing an additional decrease in surface water pH of 0.3 pH units. Ocean acidification is a global threat and is already having profound and deleterious effects on the geology, biology, chemistry, and socioeconomic resources of coastal and marine habitats (Raven and others, 2005; Ruttiman, 2006). The polar and sub-polar seas have been identified as the bellwethers for global ocean acidification.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds748","usgsCitation":"Robbins, L.L., Yates, K.K., Knorr, P.O., Wynn, J., Lisle, J., Buczkowski, B.J., Moore, B., Mayer, L., Armstrong, A., Byrne, R., and Liu, X., 2013, USGS Arctic Ocean carbon cruise 2011: field activity H-01-11-AR to collect carbon data in the Arctic Ocean, August - September 2011: U.S. Geological Survey Data Series 748, HTML Document, https://doi.org/10.3133/ds748.","productDescription":"HTML Document","additionalOnlineFiles":"Y","temporalStart":"2011-08-01","temporalEnd":"2011-09-30","ipdsId":"IP-036976","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":272949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds748.gif"},{"id":272947,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/748/"},{"id":272948,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/748/pubs748/index.html"}],"otherGeospatial":"Arctic Ocean","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,70.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,70.0 ], [ -180.0,70.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a71568e4b09db86f875c93","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":479043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":479042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":479045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wynn, Jonathan","contributorId":9943,"corporation":false,"usgs":false,"family":"Wynn","given":"Jonathan","affiliations":[],"preferred":false,"id":479046,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lisle, John","contributorId":27344,"corporation":false,"usgs":true,"family":"Lisle","given":"John","affiliations":[],"preferred":false,"id":479047,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buczkowski, Brian J. bbuczkowski@usgs.gov","contributorId":3524,"corporation":false,"usgs":true,"family":"Buczkowski","given":"Brian","email":"bbuczkowski@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":479044,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, Barbara","contributorId":68634,"corporation":false,"usgs":true,"family":"Moore","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":479048,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mayer, Larry","contributorId":77936,"corporation":false,"usgs":true,"family":"Mayer","given":"Larry","affiliations":[],"preferred":false,"id":479049,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Armstrong, Andrew","contributorId":107175,"corporation":false,"usgs":true,"family":"Armstrong","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":479052,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Byrne, Robert H.","contributorId":83260,"corporation":false,"usgs":true,"family":"Byrne","given":"Robert H.","affiliations":[],"preferred":false,"id":479050,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Liu, Xuewu","contributorId":87676,"corporation":false,"usgs":true,"family":"Liu","given":"Xuewu","email":"","affiliations":[],"preferred":false,"id":479051,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70046186,"text":"sir20135092 - 2013 - Analysis of 1997–2008 groundwater level changes in the upper Deschutes Basin, Central Oregon","interactions":[],"lastModifiedDate":"2013-05-29T21:25:07","indexId":"sir20135092","displayToPublicDate":"2013-05-29T00:00:00","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":"2013-5092","title":"Analysis of 1997–2008 groundwater level changes in the upper Deschutes Basin, Central Oregon","docAbstract":"Groundwater-level monitoring in the upper Deschutes Basin of central Oregon from 1997 to 2008 shows water-level declines in some places that are larger than might be expected from climate variations alone, raising questions regarding the influence of groundwater pumping, canal lining (which decreases recharge), and other human influences. Between the mid-1990s and mid-2000s, water levels in the central part of the basin near Redmond steadily declined as much as 14 feet. Water levels in the Cascade Range, in contrast, rose more than 20 feet from the mid-1990s to about 2000, and then declined into the mid-2000s, with little or no net change.\n\nAn existing U.S. Geological Survey regional groundwater-flow model was used to gain insights into groundwater-level changes from 1997 to 2008, and to determine the relative influence of climate, groundwater pumping, and irrigation canal lining on observed water-level trends. To utilize the model, input datasets had to be extended to include post-1997 changes in groundwater pumping, changes in recharge from precipitation, irrigation canal leakage, and deep percolation of applied irrigation water (also known as on-farm loss). Mean annual groundwater recharge from precipitation during the 1999–2008 period was 25 percent less than during the 1979–88 period because of drying climate conditions. This decrease in groundwater recharge is consistent with measured decreases in streamflow and discharge to springs. For example, the mean annual discharge of Fall River, which is a spring-fed stream, decreased 12 percent between the 1979–88 and 1999–2008 periods. Between the mid-1990s and late 2000s, groundwater pumping for public-supply and irrigation uses increased from about 32,500 to 52,000 acre-feet per year, partially because of population growth. Between 1997 and 2008, the rate of recharge from leaking irrigation canals decreased by about 58,000 acre-feet per year as a result of lining and piping of canals. Decreases in recharge from on-farm losses over the past decade were relatively small, approaching an estimated 1,000 acre-feet per year by the late 2000s. All these changes in the hydrologic budget contributed to declines in groundwater levels.\n\nGroundwater flow model simulations indicate that climate variations have the largest influence on groundwater levels throughout the upper Deschutes Basin, and that impacts from pumping and canal lining also contribute but are largely restricted to the central part of the basin that extends north from near Benham Falls to Lower Bridge, and east from Sisters to the community of Powell Butte. Outside of this central area, the water-level response from changes in pumping and irrigation canal leakage cannot be discerned from the larger response to climate-driven changes in recharge. Within this central area, where measured water-level declines have generally ranged from about 5 to 14 feet since the mid-1990s, climate variations are still the dominant factor influencing groundwater levels, accounting for approximately 60–70 percent of the measured declines. Post-1994 increases in groundwater pumping account for about 20–30 percent of the measured declines in the central part of the basin, depending on location, and decreases in recharge due to canal lining account for about 10 percent of the measured declines. Decreases in recharge from on-farm losses were simulated, but the effects were negligible compared to climate influences, groundwater pumping, and the effects of canal lining and piping.\n\nObservation well data and model simulation results indicate that water levels in the Cascade Range rose and declined tens of feet in response to wet and dry climate cycles over the past two decades. Water levels in the central part of the basin, in contrast, steadily declined during the same period, with the rate of decline lessening during wet periods. This difference is because the water-level response from recharge is damped as water moves (diffuses) from the principal recharge area in the Cascade Range to discharge points along the main stems of the Deschutes, Crooked, and Metolius Rivers in the central part of the basin. Water levels in the central part of the basin respond more to multi-decadal climate trends than shorter term changes.\n\nGroundwater-flow simulations show that the effects from increased pumping and decreased irrigation canal leakage extend south into the Bend area. However, the only wells presently monitored in the Bend area are heavily influenced by the Deschutes River, which dampens any response of water levels to external stresses such as groundwater pumping, changes in canal leakage, or climate variations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135092","collaboration":"Prepared in cooperation with the Oregon Water Resources Department","usgsCitation":"Gannett, M.W., and Lite, K.E., 2013, Analysis of 1997–2008 groundwater level changes in the upper Deschutes Basin, Central Oregon: U.S. Geological Survey Scientific Investigations Report 2013-5092, vi, 34 p., https://doi.org/10.3133/sir20135092.","productDescription":"vi, 34 p.","numberOfPages":"44","additionalOnlineFiles":"N","temporalStart":"1997-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":272990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135092.jpg"},{"id":272988,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5092/"},{"id":272989,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5092/pdf/sir20135092.pdf"}],"country":"United States","state":"Oregon","otherGeospatial":"Deschutes Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.61,42.0 ], [ -124.61,46.29 ], [ -116.46,46.29 ], [ -116.46,42.0 ], [ -124.61,42.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a71551e4b09db86f875c5f","contributors":{"authors":[{"text":"Gannett, Marshall W. 0000-0003-2498-2427 mgannett@usgs.gov","orcid":"https://orcid.org/0000-0003-2498-2427","contributorId":2942,"corporation":false,"usgs":true,"family":"Gannett","given":"Marshall","email":"mgannett@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lite, Kenneth E. Jr.","contributorId":37373,"corporation":false,"usgs":true,"family":"Lite","given":"Kenneth","suffix":"Jr.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":479120,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046169,"text":"70046169 - 2013 - Evaluation of stream chemistry trends in US Geological Survey reference watersheds, 1970-2010","interactions":[],"lastModifiedDate":"2013-10-23T10:43:41","indexId":"70046169","displayToPublicDate":"2013-05-29T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of stream chemistry trends in US Geological Survey reference watersheds, 1970-2010","docAbstract":"The Hydrologic Benchmark Network (HBN) is a long-term monitoring program established by the US Geological Survey in the 1960s to track changes in the streamflow and stream chemistry in undeveloped watersheds across the USA. Trends in stream chemistry were tested at 15 HBN stations over two periods (1970–2010 and 1990–2010) using the parametric Load Estimator (LOADEST) model and the nonparametric seasonal Kendall test. Trends in annual streamflow and precipitation chemistry also were tested to help identify likely drivers of changes in stream chemistry. At stations in the northeastern USA, there were significant declines in stream sulfate, which were consistent with declines in sulfate deposition resulting from the reductions in SO<sub>2</sub> emissions mandated under the Clean Air Act Amendments. Sulfate declines in stream water were smaller than declines in deposition suggesting sulfate may be accumulating in watershed soils and thereby delaying the stream response to improvements in deposition. Trends in stream chemistry at stations in other part of the country generally were attributed to climate variability or land disturbance. Despite declines in sulfate deposition, increasing stream sulfate was observed at several stations and appeared to be linked to periods of drought or declining streamflow. Falling water tables might have enhanced oxidation of organic matter in wetlands or pyrite in mineralized bedrock thereby increasing sulfate export in surface water. Increasing sulfate and nitrate at a station in the western USA were attributed to release of soluble salts and nutrients from soils following a large wildfire in the watershed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10661-013-3256-6","usgsCitation":"Mast, M.A., 2013, Evaluation of stream chemistry trends in US Geological Survey reference watersheds, 1970-2010: Environmental Monitoring and Assessment, v. 185, no. 11, p. 9343-9359, https://doi.org/10.1007/s10661-013-3256-6.","productDescription":"17 p.","startPage":"9343","endPage":"9359","ipdsId":"IP-045477","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":272973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272972,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-013-3256-6"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","volume":"185","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-05-29","publicationStatus":"PW","scienceBaseUri":"51a71565e4b09db86f875c6f","contributors":{"authors":[{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479082,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046153,"text":"sir20135087 - 2013 - Hydrographic surveys of the Missouri and Yellowstone Rivers at selected bridges and through Bismarck, North Dakota, during the 2011 flood","interactions":[],"lastModifiedDate":"2013-05-29T11:29:18","indexId":"sir20135087","displayToPublicDate":"2013-05-29T00:00:00","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":"2013-5087","title":"Hydrographic surveys of the Missouri and Yellowstone Rivers at selected bridges and through Bismarck, North Dakota, during the 2011 flood","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the North Dakota Department of Transportation and the North Dakota State Water Commission, completed hydrographic surveys at six Missouri River bridges and one Yellowstone River bridge during the 2011 flood of the Missouri River system. Bridges surveyed are located near the cities of Cartwright, Buford, Williston, Washburn, and Bismarck, N. Dak. The river in the vicinity of the bridges and the channel through the city of Bismarck, N. Dak., were surveyed. The hydrographic surveys were conducted using a high-resolution multibeam echosounder (MBES), the RESON SeaBat<sup>TM</sup> 7125, during June 6–9 and June 28–July 9, 2011. The surveyed area at each bridge site extended 820 feet upstream from the bridge to 820 feet downstream from the bridge. The surveyed reach through Bismarck consisted of 18 miles of the main channel wherever depth was sufficient. Results from these emergency surveys aided the North Dakota Department of Transportation in evaluating the structural integrity of the bridges during high-flow conditions. In addition, the sustained high flows made feasible the surveying of a large section of the normally shallow channel with the MBES.\n\nIn general, results from sequential bridge surveys showed that as discharge increased between the first and second surveys at a given site, there was a general trend of channel scour. Locally, complex responses of scour in some areas and deposition in other areas of the channel were identified. Similarly, scour around bridge piers also showed complex responses to the increase in flow between the two surveys. Results for the survey area of the river channel through Bismarck show that, in general, scour occurred around river structures or where the river has tight bends and channel narrowing. The data collected during the surveys are provided electronically in two different file formats: comma delimited text and CARIS Spatial Archive<sup>TM</sup> (CSAR<sup>TM</sup>) format.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135087","collaboration":"Prepared in cooperation with the North Dakota Department of Transportation and the North Dakota State Water Commission","usgsCitation":"Densmore, B.K., Strauch, K.R., and Dietsch, B.J., 2013, Hydrographic surveys of the Missouri and Yellowstone Rivers at selected bridges and through Bismarck, North Dakota, during the 2011 flood: U.S. Geological Survey Scientific Investigations Report 2013-5087, vi, 59 p., https://doi.org/10.3133/sir20135087.","productDescription":"vi, 59 p.","numberOfPages":"70","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2011-06-06","temporalEnd":"2011-07-09","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":272953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135087.gif"},{"id":272950,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5087/"},{"id":272952,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2013/5087/Data/"},{"id":272951,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5087/sir2013-5087.pdf"}],"country":"United States","state":"North Dakota","city":"Bismarck","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.845596,46.751104 ], [ -100.845596,46.867048 ], [ -100.688513,46.867048 ], [ -100.688513,46.751104 ], [ -100.845596,46.751104 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a71566e4b09db86f875c83","contributors":{"authors":[{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strauch, Kellan R. 0000-0002-7218-2099 kstrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":1006,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan","email":"kstrauch@usgs.gov","middleInitial":"R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479061,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046148,"text":"ds741 - 2013 - USGS Arctic Ocean carbon cruise 2010: field activity H-03-10-AR to collect carbon data in the Arctic Ocean, August - September 2010","interactions":[],"lastModifiedDate":"2013-05-29T11:13:42","indexId":"ds741","displayToPublicDate":"2013-05-29T00:00:00","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":"741","title":"USGS Arctic Ocean carbon cruise 2010: field activity H-03-10-AR to collect carbon data in the Arctic Ocean, August - September 2010","docAbstract":"Carbon dioxide (CO<sub>2</sub>) in the atmosphere is absorbed at the surface of the ocean by reacting with seawater to form carbonic acid, a weak, naturally occurring acid. As atmospheric carbon dioxide increases, the concentration of carbonic acid in seawater also increases, causing a decrease in ocean pH and carbonate mineral saturation states, a process known as ocean acidification. The oceans have absorbed approximately 525 billion tons of carbon dioxide from the atmosphere, or about one-quarter to one-third of the anthropogenic carbon emissions released since the beginning of the Industrial Revolution (Sabine and others, 2004). Global surveys of ocean chemistry have revealed that seawater pH has decreased by about 0.1 units (from a pH of 8.2 to 8.1) since the 1700s due to absorption of carbon dioxide (Caldeira and Wickett, 2003; Orr and others, 2005; Raven and others, 2005). Modeling studies, based on Intergovernmental Panel on Climate Change (IPCC) CO<sub>2</sub> emission scenarios, predict that atmospheric carbon dioxide levels could reach more than 500 parts per million (ppm) by the middle of this century and 800 ppm by the year 2100, causing an additional decrease in surface water pH of 0.3 pH units. Ocean acidification is a global threat and is already having profound and deleterious effects on the geology, biology, chemistry, and socioeconomic resources of coastal and marine habitats (Raven and others, 2005; Ruttiman, 2006). The polar and sub-polar seas have been identified as the bellwethers for global ocean acidification.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds741","usgsCitation":"Robbins, L.L., Yates, K.K., Gove, M.D., Knorr, P.O., Wynn, J., Byrne, R., and Liu, X., 2013, USGS Arctic Ocean carbon cruise 2010: field activity H-03-10-AR to collect carbon data in the Arctic Ocean, August - September 2010: U.S. Geological Survey Data Series 741, HTML Document, https://doi.org/10.3133/ds741.","productDescription":"HTML Document","additionalOnlineFiles":"Y","temporalStart":"2010-08-01","temporalEnd":"2010-09-30","ipdsId":"IP-036696","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":272946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds741.gif"},{"id":272945,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/741/"},{"id":272944,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/741/pubs741/index.html"}],"otherGeospatial":"Arctic Ocean","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,70.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,70.0 ], [ -180.0,70.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a71568e4b09db86f875c8f","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":479054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":479053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gove, Matthew D.","contributorId":21851,"corporation":false,"usgs":true,"family":"Gove","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":479057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":479055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wynn, Jonathan","contributorId":9943,"corporation":false,"usgs":false,"family":"Wynn","given":"Jonathan","affiliations":[],"preferred":false,"id":479056,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Byrne, Robert H.","contributorId":83260,"corporation":false,"usgs":true,"family":"Byrne","given":"Robert H.","affiliations":[],"preferred":false,"id":479058,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Xuewu","contributorId":87676,"corporation":false,"usgs":true,"family":"Liu","given":"Xuewu","email":"","affiliations":[],"preferred":false,"id":479059,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70046129,"text":"ofr20131081 - 2013 - Final report for sea-level rise response modeling for San Francisco Bay estuary tidal marshes","interactions":[],"lastModifiedDate":"2017-10-30T12:19:43","indexId":"ofr20131081","displayToPublicDate":"2013-05-28T00:00:00","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":"2013-1081","title":"Final report for sea-level rise response modeling for San Francisco Bay estuary tidal marshes","docAbstract":"The International Panel on Climate Change has identified coastal ecosystems as areas that will be disproportionally affected by climate change. Current sea-level rise projections range widely with 0.57 to 1.9 meters increase in mea sea level by 2100. The expected accelerated rate of sea-level rise through the 21<sup>st</sup> century will put many coastal ecosystems at risk, especially those in topographically low-gradient areas.\n\nWe assessed marsh accretion and plant community state changes through 2100 at 12 tidal salt marshes around San Francisco Bay estuary with a sea-level rise response model. Detailed ground elevation, vegetation, and water level data were collected at all sites between 2008 and 2011 and used as model inputs. Sediment cores (taken by Callaway and others, 2012) at four sites around San Francisco Bay estuary were used to estimate accretion rates. A modification of the Callaway and others (1996) model, the Wetland Accretion Rate Model for Ecosystem Resilience (WARMER), was utilized to run sea-level rise response models for all sites. With a mean sea level rise of 1.24 m by 2100, WARMER projected that the vast majority, 95.8 percent (1,942 hectares), of marsh area in our study will lose marsh plant communities by 2100 and to transition to a relative elevation range consistent with mudflat habitat. Three marshes were projected to maintain marsh vegetation to 2100, but they only composed 4.2 percent (85 hectares) of the total marsh area surveyed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131081","collaboration":"Prepared in cooperation with U.S. Fish and Wildlife Service","usgsCitation":"Takekawa, J.Y., Thorne, K.M., Buffington, K., Spragens, K., Swanson, K., Drexler, J., Schoellhamer, D., Overton, C.T., and Casazza, M.L., 2013, Final report for sea-level rise response modeling for San Francisco Bay estuary tidal marshes: U.S. Geological Survey Open-File Report 2013-1081, x, 161 p., https://doi.org/10.3133/ofr20131081.","productDescription":"x, 161 p.","numberOfPages":"171","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":272882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131081.jpg"},{"id":272881,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1081/pdf/ofr20131081.pdf"},{"id":272880,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1081/"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.498478,37.447658 ], [ -122.498478,37.964872 ], [ -122.041878,37.964872 ], [ -122.041878,37.447658 ], [ -122.498478,37.447658 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a5c3e3e4b0605bc571ef5e","contributors":{"authors":[{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":478976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorne, Karen M. 0000-0002-1381-0657 kthorne@usgs.gov","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":4191,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen","email":"kthorne@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":478979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":478980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spragens, Kyle A.","contributorId":98452,"corporation":false,"usgs":true,"family":"Spragens","given":"Kyle A.","affiliations":[],"preferred":false,"id":478983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swanson, Kathleen M.","contributorId":11289,"corporation":false,"usgs":true,"family":"Swanson","given":"Kathleen M.","affiliations":[],"preferred":false,"id":478982,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drexler, Judith Z. 0000-0002-0127-3866","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":8941,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith Z.","affiliations":[],"preferred":false,"id":478981,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478975,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":478978,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":478977,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70046132,"text":"fs20133024 - 2013 - A conceptual hydrogeologic model for the hydrogeologic framework, geochemistry, and groundwater-flow system of the Edwards-Trinity and related aquifers in the Pecos County region, Texas","interactions":[],"lastModifiedDate":"2016-08-05T14:01:32","indexId":"fs20133024","displayToPublicDate":"2013-05-28T00:00:00","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":"2013-3024","title":"A conceptual hydrogeologic model for the hydrogeologic framework, geochemistry, and groundwater-flow system of the Edwards-Trinity and related aquifers in the Pecos County region, Texas","docAbstract":"<p>The Edwards-Trinity aquifer is a vital groundwater resource for agricultural, industrial, and municipal uses in the Trans-Pecos region of west Texas. A conceptual model of the hydrogeologic framework, geochemistry, and groundwater-flow system in the 4,700 square-mile study area was developed by the U.S. Geological Survey (USGS) in cooperation with the Middle Pecos Groundwater Conservation District, Pecos County, City of Fort Stockton, Brewster County, and Pecos County Water Control and Improvement District No. 1. The model was developed to gain a better understanding of the groundwater system and to establish a scientific foundation for resource-management decisions. Data and information were collected or obtained from various sources to develop the model. Lithologic information obtained from well reports and geophysical data were used to describe the hydrostratigraphy and structural features of the groundwater system, and aquifer-test data were used to estimate aquifer hydraulic properties. Groundwater-quality data were used to evaluate groundwater-flow paths, water and rock interaction, aquifer interaction, and the mixing of water from different sources. Groundwater-level data also were used to evaluate aquifer interaction as well as to develop a potentiometric-surface map, delineate regional groundwater divides, and describe regional groundwater-flow paths.</p>\n<p>Several previous studies have been done to compile or collect physical and chemical data, describe the hydrogeologic processes, and develop conceptual and numerical groundwater-flow models of the Edwards-Trinity aquifer in the Trans-Pecos region. Documented methods were used to compile and collect groundwater, surface-water, geochemical, geophysical, and geologic information that subsequently were used to develop this conceptual model.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133024","collaboration":"Prepared in cooperation with the Middle Pecos Groundwater Conservation District, Pecos County, City of Fort Stockton, Brewster County, and Pecos County Water Control and Improvement District No. 1","usgsCitation":"Thomas, J.V., Stanton, G.P., Bumgarner, J.R., Pearson, D., Teeple, A., Houston, N.A., Payne, J., and Musgrove, M., 2013, A conceptual hydrogeologic model for the hydrogeologic framework, geochemistry, and groundwater-flow system of the Edwards-Trinity and related aquifers in the Pecos County region, Texas: U.S. Geological Survey Fact Sheet 2013-3024, 6 p., https://doi.org/10.3133/fs20133024.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":272903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133024.gif"},{"id":272902,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3024/pdf/fs2013-3024.pdf"},{"id":272901,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3024/"}],"projection":"Albers Equal Area","datum":"North American Datum of 1983","country":"United States","state":"Texas","county":"Pecos County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104,30.08 ], [ -104,31.30 ], [ -102,31.30 ], [ -102,30.08 ], [ -104,30.08 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a5c3d2e4b0605bc571ef52","contributors":{"authors":[{"text":"Thomas, Jonathan V. 0000-0003-0903-9713 jvthomas@usgs.gov","orcid":"https://orcid.org/0000-0003-0903-9713","contributorId":2194,"corporation":false,"usgs":true,"family":"Thomas","given":"Jonathan","email":"jvthomas@usgs.gov","middleInitial":"V.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanton, Gregory P. 0000-0001-8622-0933 gstanton@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-0933","contributorId":1583,"corporation":false,"usgs":true,"family":"Stanton","given":"Gregory","email":"gstanton@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":478991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bumgarner, Johnathan R. jbumgarner@usgs.gov","contributorId":5378,"corporation":false,"usgs":true,"family":"Bumgarner","given":"Johnathan","email":"jbumgarner@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":478994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearson, Daniel K.","contributorId":52014,"corporation":false,"usgs":true,"family":"Pearson","given":"Daniel K.","affiliations":[],"preferred":false,"id":478996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Teeple, Andrew   0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":1399,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew  ","email":"apteeple@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478990,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Houston, Natalie A. 0000-0002-6071-4545 nhouston@usgs.gov","orcid":"https://orcid.org/0000-0002-6071-4545","contributorId":1682,"corporation":false,"usgs":true,"family":"Houston","given":"Natalie","email":"nhouston@usgs.gov","middleInitial":"A.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478992,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Payne, Jason  0000-0003-4294-7924 jdpayne@usgs.gov","orcid":"https://orcid.org/0000-0003-4294-7924","contributorId":1062,"corporation":false,"usgs":true,"family":"Payne","given":"Jason ","email":"jdpayne@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478989,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Musgrove, MaryLynn","contributorId":34878,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","affiliations":[],"preferred":false,"id":478995,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70046140,"text":"fs20133023 - 2013 - Fine-grained sediment dispersal along the California coast","interactions":[],"lastModifiedDate":"2013-05-28T15:17:54","indexId":"fs20133023","displayToPublicDate":"2013-05-28T00:00:00","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":"2013-3023","title":"Fine-grained sediment dispersal along the California coast","docAbstract":"Fine-grained sediment (silt and clay) enters coastal waters from rivers, eroding coastal bluffs, resuspension of seabed sediment, and human activities such as dredging and beach nourishment. The amount of sediment in coastal waters is an important factor in ocean ecosystem health, but little information exists on both the natural and human-driven magnitudes of fine-grained sediment delivery to the coastal zone, its residence time there, and its transport out of the system—information upon which to base environmental assessments. To help fill these information gaps, the U.S. Geological Survey has partnered with Federal, State, and local agencies to monitor fine-grained sediment dispersal patterns and fate in the coastal regions of California. Results of these studies suggest that the waves and currents of many of the nearshore coastal settings of California are adequately energetic to transport fine-grained sediment quickly through coastal systems. These findings will help with the management and regulation of fine-grained sediment along the U.S. west coast.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133023","usgsCitation":"Warrick, J., and Storlazzi, C., 2013, Fine-grained sediment dispersal along the California coast: U.S. Geological Survey Fact Sheet 2013-3023, 4 p., https://doi.org/10.3133/fs20133023.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":272928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133023.gif"},{"id":272927,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3023/fs2013-3023.pdf"},{"id":272926,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3023/"}],"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 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a5c3e3e4b0605bc571ef62","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":48255,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","affiliations":[],"preferred":false,"id":479011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":77889,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[],"preferred":false,"id":479012,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046111,"text":"sir20125001 - 2013 - The use of process models to inform and improve statistical models of nitrate occurrence, Great Miami River Basin, southwestern Ohio","interactions":[],"lastModifiedDate":"2014-02-27T14:56:37","indexId":"sir20125001","displayToPublicDate":"2013-05-28T00:00:00","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":"2012-5001","title":"The use of process models to inform and improve statistical models of nitrate occurrence, Great Miami River Basin, southwestern Ohio","docAbstract":"<p>Statistical models of nitrate occurrence in the glacial aquifer system of the northern United States, developed by the U.S. Geological Survey, use observed relations between nitrate concentrations and sets of explanatory variables—representing well-construction, environmental, and source characteristics— to predict the probability that nitrate, as nitrogen, will exceed a threshold concentration. However, the models do not explicitly account for the processes that control the transport of nitrogen from surface sources to a pumped well and use area-weighted mean spatial variables computed from within a circular buffer around the well as a simplified source-area conceptualization. The use of models that explicitly represent physical-transport processes can inform and, potentially, improve these statistical models. Specifically, groundwater-flow models simulate advective transport—predominant in many surficial aquifers— and can contribute to the refinement of the statistical models by (1) providing for improved, physically based representations of a source area to a well, and (2) allowing for more detailed estimates of environmental variables.</p>\n<br/>\n<p>A source area to a well, known as a contributing recharge area, represents the area at the water table that contributes recharge to a pumped well; a well pumped at a volumetric rate equal to the amount of recharge through a circular buffer will result in a contributing recharge area that is the same size as the buffer but has a shape that is a function of the hydrologic setting. These volume-equivalent contributing recharge areas will approximate circular buffers in areas of relatively flat hydraulic gradients, such as near groundwater divides, but in areas with steep hydraulic gradients will be elongated in the upgradient direction and agree less with the corresponding circular buffers.</p>\n<br/>\n<p>The degree to which process-model-estimated contributing recharge areas, which simulate advective transport and therefore account for local hydrologic settings, would inform and improve the development of statistical models can be implicitly estimated by evaluating the differences between explanatory variables estimated from the contributing recharge areas and the circular buffers used to develop existing statistical models. The larger the difference in estimated variables, the more likely that statistical models would be changed, and presumably improved, if explanatory variables estimated from contributing recharge areas were used in model development. Comparing model predictions from the two sets of estimated variables would further quantify—albeit implicitly—how an improved, physically based estimate of explanatory variables would be reflected in model predictions. Differences between the two sets of estimated explanatory variables and resultant model predictions vary spatially; greater differences are associated with areas of steep hydraulic gradients. A direct comparison, however, would require the development of a separate set of statistical models using explanatory variables from contributing recharge areas.</p>\n<br/>\n<p>Area-weighted means of three environmental variables—silt content, alfisol content, and depth to water from the U.S. Department of Agriculture State Soil Geographic (STATSGO) data—and one nitrogen-source variable (fertilizer-application rate from county data mapped to Enhanced National Land Cover Data 1992 (NLCDe 92) agricultural land use) can vary substantially between circular buffers and volume-equivalent contributing recharge areas and among contributing recharge areas for different sets of well variables. The differences in estimated explanatory variables are a function of the same factors affecting the contributing recharge areas as well as the spatial resolution and local distribution of the underlying spatial data. As a result, differences in estimated variables between circular buffers and contributing recharge areas are complex and site specific as evidenced by differences in estimated variables for circular buffers and contributing recharge areas of existing public-supply and network wells in the Great Miami River Basin. Large differences in areaweighted mean environmental variables are observed at the basin scale, determined by using the network of uniformly spaced hypothetical wells; the differences have a spatial pattern that generally is similar to spatial patterns in the underlying STATSGO data. Generally, the largest differences were observed for area-weighted nitrogen-application rate from county and national land-use data; the basin-scale differences ranged from -1,600 (indicating a larger value from within the volume-equivalent contributing recharge area) to 1,900 kilograms per year (kg/yr); the range in the underlying spatial data was from 0 to 2,200 kg/yr. Silt content, alfisol content, and nitrogen-application rate are defined by the underlying spatial data and are external to the groundwater system; however, depth to water is an environmental variable that can be estimated in more detail and, presumably, in a more physically based manner using a groundwater-flow model than using the spatial data. Model-calculated depths to water within circular buffers in the Great Miami River Basin differed substantially from values derived from the spatial data and had a much larger range.</p>\n<br/>\n<p>Differences in estimates of area-weighted spatial variables result in corresponding differences in predictions of nitrate occurrence in the aquifer. In addition to the factors affecting contributing recharge areas and estimated explanatory variables, differences in predictions also are a function of the specific set of explanatory variables used and the fitted slope coefficients in a given model. For models that predicted the probability of exceeding 1 and 4 milligrams per liter as nitrogen (mg/L as N), predicted probabilities using variables estimated from circular buffers and contributing recharge areas generally were correlated but differed significantly at the local and basin scale. The scale and distribution of prediction differences can be explained by the underlying differences in the estimated variables and the relative weight of the variables in the statistical models. Differences in predictions of exceeding 1 mg/L as N, which only includes environmental variables, generally correlated with the underlying differences in STATSGO data, whereas differences in exceeding 4 mg/L as N were more spatially extensive because that model included environmental and nitrogen-source variables. Using depths to water from within circular buffers derived from the spatial data and depths to water within the circular buffers calculated from the groundwater-flow model, restricted to the same range, resulted in large differences in predicted probabilities. The differences in estimated explanatory variables between contributing recharge areas and circular buffers indicate incorporation of physically based contributing recharge area likely would result in a different set of explanatory variables and an improved set of statistical models.</p>\n<br/>\n<p>The use of a groundwater-flow model to improve representations of source areas or to provide more-detailed estimates of specific explanatory variables includes a number of limitations and technical considerations. An assumption in these analyses is that (1) there is a state of mass balance between recharge and pumping, and (2) transport to a pumped well is under a steady state flow field. Comparison of volumeequivalent contributing recharge areas under steady-state and transient transport conditions at a location in the southeastern part of the basin shows the steady-state contributing recharge area is a reasonable approximation of the transient contributing recharge area after between 10 and 20 years of pumping. The first assumption is a more important consideration for this analysis. A gradient effect refers to a condition where simulated pumping from a well is less than recharge through the corresponding contributing recharge area. This generally takes place in areas with steep hydraulic gradients, such as near discharge locations, and can be mitigated using a finer model discretization. A boundary effect refers to a condition where recharge through the contributing recharge area is less than pumping. This indicates other sources of water to the simulated well and could reflect a real hydrologic process. In the Great Miami River Basin, large gradient and boundary effects—defined as the balance between pumping and recharge being less than half—occurred in 5 and 14 percent of the basin, respectively. The agreement between circular buffers and volume-equivalent contributing recharge areas, differences in estimated variables, and the effect on statisticalmodel predictions between the population of wells with a balance between pumping and recharge within 10 percent and the population of all wells were similar. This indicated process-model limitations did not affect the overall findings in the Great Miami River Basin; however, this would be model specific, and prudent use of a process model needs to entail a limitations analysis and, if necessary, alterations to the model.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125001","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Walter, D.A., and Starn, J.J., 2013, The use of process models to inform and improve statistical models of nitrate occurrence, Great Miami River Basin, southwestern Ohio: U.S. Geological Survey Scientific Investigations Report 2012-5001, x, 75 p., https://doi.org/10.3133/sir20125001.","productDescription":"x, 75 p.","numberOfPages":"90","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":272823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125001.jpg"},{"id":272821,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5001/"},{"id":272822,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5001/pdf/sir2012-5001_report_508.pdf"}],"country":"United States","state":"Ohio","otherGeospatial":"Great Miami River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.82,38.4 ], [ -84.82,42.0 ], [ -80.52,42.0 ], [ -80.52,38.4 ], [ -84.82,38.4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a4805fe4b064a995b7a0d0","contributors":{"authors":[{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starn, J. Jeffrey","contributorId":101617,"corporation":false,"usgs":true,"family":"Starn","given":"J.","email":"","middleInitial":"Jeffrey","affiliations":[],"preferred":false,"id":478949,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046112,"text":"sir20135104 - 2013 - Organic waste compounds in streams: Occurrence and aquatic toxicity in different stream compartments, flow regimes, and land uses in southeast Wisconsin, 2006–9","interactions":[],"lastModifiedDate":"2013-05-28T08:29:56","indexId":"sir20135104","displayToPublicDate":"2013-05-28T00:00:00","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":"2013-5104","title":"Organic waste compounds in streams: Occurrence and aquatic toxicity in different stream compartments, flow regimes, and land uses in southeast Wisconsin, 2006–9","docAbstract":"An assessment of organic chemicals and aquatic toxicity in streams located near Milwaukee, Wisconsin, indicated high potential for adverse impacts on aquatic organisms that could be related to organic waste compounds (OWCs). OWCs used in agriculture, industry, and households make their way into surface waters through runoff, leaking septic-conveyance systems, regulated and unregulated discharges, and combined sewage overflows, among other sources. Many of these compounds are toxic at elevated concentrations and (or) known to have endocrine-disrupting potential, and often they occur as complex mixtures. There is still much to be learned about the chronic exposure effects of these compounds on aquatic populations.  During 2006–9, the U.S. Geological Survey, in cooperation with the Milwaukee Metropolitan Sewerage District (MMSD), conducted a study to determine the occurrence and potential toxicity of OWCs in different stream compartments and flow regimes for streams in the Milwaukee area. Samples were collected at 17 sites and analyzed for a suite of 69 OWCs. Three types of stream compartments were represented: water column, streambed pore water, and streambed sediment. Water-column samples were subdivided by flow regime into stormflow and base-flow samples.  One or more compounds were detected in all 196 samples collected, and 64 of the 69 compounds were detected at least once. Base-flow samples had the lowest detection rates, with a median of 12 compounds detected per sample. Median detection rates for stormflow, pore-water, and sediment samples were more than double that of base-flow samples. Compounds with the highest detection rates include polycyclic aromatic hydrocarbons (PAHs), insecticides, herbicides, and dyes/pigments.  Elevated occurrence and concentrations of some compounds were detected in samples from urban sites, as compared with more rural sites, especially during stormflow conditions. These include the PAHs and the domestic waste-water-indicator compounds, among others. Urban runoff and storm-related leaks of sanitary sewers and (or) septic systems may be important sources of these and other compounds to the streams. The Kinnickinnic River, a highly urbanized site, had the highest detection rates and concentrations of compounds of all the sampled sites. The Milwaukee River near Cedarburg—one of the least urban sites—and the Outer Milwaukee Harbor site had the lowest detection rates and concentrations.  Aquatic-toxicity benchmarks were exceeded for 12 of the 25 compounds with known benchmarks. The compounds with the greatest benchmark exceedances were the PAHs, both in terms of exceedance frequency (up to 93 percent for some compounds in sediment samples) and magnitude (concentrations up to 1,024 times greater than the benchmark value). Other compounds with toxicity-benchmark exceedances include Bis(2-ethylhexyl) phthalate (a plasticizer), 2-Methylnapthalene (a component of fuel and oil), phenol (an antimicrobial disinfectant with diverse uses), and 4-Nonylphenol (sum of all isomers; a detergent metabolite, among other uses). Analyzed as a mixture, the suite of PAH compounds were found to be potentially toxic for most non-base-flow samples.  Bioassay tests were conducted on samples from 14 streams: Ceriodaphnia dubia in base-flow samples, Ceriodaphnia dubia and Hyallela azteca in pore-water samples, and Hyallela azteca and Chironomus tentans in sediment samples. The greatest adverse effect was observed in tests with Chironomus tentans from sediment samples. The weight of Chironomus tentans after exposure to sediments decreased with increased OWC concentrations. This was most evident in the relation between PAH results and Chironomus tentans bioassay results for the majority of samples; however, solvents and flame retardants appeared to be important for one site each. These results for PAHs were consistent with assessment of PAH potency factors for sediment, indicating that PAHs were likely to have adverse effects on aquatic organisms in many of the streams studied.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135104","collaboration":"Prepared in cooperation with the Milwaukee Metropolitan Sewerage District","usgsCitation":"Baldwin, A.K., Corsi, S., Richards, K.D., Geis, S.W., and Magruder, C., 2013, Organic waste compounds in streams: Occurrence and aquatic toxicity in different stream compartments, flow regimes, and land uses in southeast Wisconsin, 2006–9: U.S. Geological Survey Scientific Investigations Report 2013-5104, vii, 48 p., https://doi.org/10.3133/sir20135104.","productDescription":"vii, 48 p.","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":272830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135104.gif"},{"id":272829,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5104/pdf/sir2013-5104.pdf"},{"id":272828,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5104/"}],"country":"United States","state":"Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.40,42.50 ], [ -88.40,43.50 ], [ -87.40,43.50 ], [ -87.40,42.50 ], [ -88.40,42.50 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a5c3e6e4b0605bc571ef6e","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. srcorsi@usgs.gov","contributorId":511,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richards, Kevin D. krichard@usgs.gov","contributorId":280,"corporation":false,"usgs":true,"family":"Richards","given":"Kevin","email":"krichard@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478950,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geis, Steven W.","contributorId":85868,"corporation":false,"usgs":true,"family":"Geis","given":"Steven","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":478954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magruder, Christopher","contributorId":35995,"corporation":false,"usgs":true,"family":"Magruder","given":"Christopher","affiliations":[],"preferred":false,"id":478953,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046106,"text":"70046106 - 2013 - Evidence for extensive methane venting on the southeastern U.S. Atlantic margin","interactions":[],"lastModifiedDate":"2013-07-01T09:52:50","indexId":"70046106","displayToPublicDate":"2013-05-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for extensive methane venting on the southeastern U.S. Atlantic margin","docAbstract":"We present the first evidence for widespread seabed methane venting along the southeastern United States Atlantic margin beyond the well-known Blake Ridge diapir seep. Recent ship- and autonomous underwater vehicle (AUV)–collected data resolve multiple water-column anomalies (>1000 m height) and extensive new chemosynthetic seep communities at the Blake Ridge and Cape Fear diapirs. These results indicate that multiple, highly localized fluid conduits punctuate the areally extensive Blake Ridge gas hydrate province, and enable the delivery of significant amounts of methane to the water column. Thus, there appears to be an abundance of seabed fluid flux not previously ascribed to the Atlantic margin of the United States.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.1130/G34217.1","usgsCitation":"Brothers, L., Van Dover, C., German, C., Kaiser, C., Yoerger, D., Ruppel, C., Lobecker, E., Skarke, A., and Wagner, J., 2013, Evidence for extensive methane venting on the southeastern U.S. Atlantic margin: Geology, v. 41, no. 7, p. 807-810, https://doi.org/10.1130/G34217.1.","productDescription":"4 p.","startPage":"807","endPage":"810","ipdsId":"IP-044454","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":272825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272824,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G34217.1"}],"volume":"41","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-05-16","publicationStatus":"PW","scienceBaseUri":"51a47250e4b064a995b7a0bb","contributors":{"authors":[{"text":"Brothers, L.L.","contributorId":17074,"corporation":false,"usgs":true,"family":"Brothers","given":"L.L.","email":"","affiliations":[],"preferred":false,"id":478926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Dover, C.L.","contributorId":104507,"corporation":false,"usgs":true,"family":"Van Dover","given":"C.L.","affiliations":[],"preferred":false,"id":478934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"German, C.R.","contributorId":24673,"corporation":false,"usgs":true,"family":"German","given":"C.R.","email":"","affiliations":[],"preferred":false,"id":478927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaiser, C.L.","contributorId":32434,"corporation":false,"usgs":true,"family":"Kaiser","given":"C.L.","email":"","affiliations":[],"preferred":false,"id":478929,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yoerger, D.R.","contributorId":54492,"corporation":false,"usgs":true,"family":"Yoerger","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":478930,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruppel, C.D.","contributorId":64839,"corporation":false,"usgs":true,"family":"Ruppel","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":478932,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lobecker, E.","contributorId":30122,"corporation":false,"usgs":true,"family":"Lobecker","given":"E.","email":"","affiliations":[],"preferred":false,"id":478928,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Skarke, A.D.","contributorId":57752,"corporation":false,"usgs":true,"family":"Skarke","given":"A.D.","affiliations":[],"preferred":false,"id":478931,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wagner, J.K.S.","contributorId":101970,"corporation":false,"usgs":true,"family":"Wagner","given":"J.K.S.","email":"","affiliations":[],"preferred":false,"id":478933,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70046104,"text":"ofr20131108 - 2013 - Postwildfire debris-flow hazard assessment of the area burned by the 2012 Little Bear Fire, south-central New Mexico","interactions":[],"lastModifiedDate":"2013-05-24T13:59:25","indexId":"ofr20131108","displayToPublicDate":"2013-05-24T00:00:00","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":"2013-1108","title":"Postwildfire debris-flow hazard assessment of the area burned by the 2012 Little Bear Fire, south-central New Mexico","docAbstract":"A preliminary hazard assessment was developed of the debris-flow potential from 56 drainage basins burned by the Little Bear Fire in south-central New Mexico in June 2012. The Little Bear Fire burned approximately 179 square kilometers (km<sup>2</sup>) (44,330 acres), including about 143 km2 (35,300 acres) of National Forest System lands of the Lincoln National Forest. Within the Lincoln National Forest, about 72 km<sup>2</sup> (17,664 acres) of the White Mountain Wilderness were burned. The burn area also included about 34 km<sup>2</sup> (8,500 acres) of private lands. Burn severity was high or moderate on 53 percent of the burn area. The area burned is at risk of substantial postwildfire erosion, such as that caused by debris flows and flash floods.\n\nA postwildfire debris-flow hazard assessment of the area burned by the Little Bear Fire was performed by the U.S. Geological Survey in cooperation with the U.S. Department of Agriculture Forest Service, Lincoln National Forest. A set of two empirical hazard-assessment models developed by using data from recently burned drainage basins throughout the intermountain Western United States was used to estimate the probability of debris-flow occurrence and volume of debris flows along the burn area drainage network and for selected drainage basins within the burn area. The models incorporate measures of areal burn extent and severity, topography, soils, and storm rainfall intensity to estimate the probability and volume of debris flows following the fire. Relative hazard rankings of postwildfire debris flows were produced by summing the estimated probability and volume ranking to illustrate those areas with the highest potential occurrence of debris flows with the largest volumes.\n\nThe probability that a drainage basin could produce debris flows and the volume of a possible debris flow at the basin outlet were estimated for three design storms: (1) a 2-year-recurrence, 30-minute-duration rainfall of 27 millimeters (mm) (a 50 percent chance of occurrence in any given year); (2) a 10-year-recurrence, 30-minute-duration rainfall of 42 mm (a 10 percent chance of occurrence in any given year); and (3) a 25-year-recurrence, 30-minute-duration rainfall of 51 mm (a 4 percent chance of occurrence in any given year). Thirty-nine percent of the 56 drainage basins modeled have a high (greater than 80 percent) probability of debris flows in response to the 2-year design storm; 80 percent of the modeled drainage basins have a high probability of debris flows in response to the 25-year design storm. For debris-flow volume, 7 percent of the modeled drainage basins have an estimated debris-flow volume greater than 100,000 cubic meters (m<sup>3</sup>) in response to the 2-year design storm; 9 percent of the drainage basins are included in the greater than 100,000 m<sup>3</sup> category for both the 10-year and the 25-year design storms. Drainage basins in the greater than 100,000 m<sup>3</sup> volume category also received the highest combined hazard ranking.\n\nThe maps presented herein may be used to prioritize areas where emergency erosion mitigation or other protective measures may be needed prior to rainstorms within these drainage basins, their outlets, or areas downstream from these drainage basins within the 2- to 3-year period of vulnerability. This work is preliminary and is subject to revision. The assessment herein is provided on the condition that neither the U.S. Geological Survey nor the U.S. Government may be held liable for any damages resulting from the authorized or unauthorized use of the assessment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131108","collaboration":"Prepared in cooperation with U.S. Department of Agriculture Forest Service, Lincoln National Forest","usgsCitation":"Tillery, A.C., and Matherne, A.M., 2013, Postwildfire debris-flow hazard assessment of the area burned by the 2012 Little Bear Fire, south-central New Mexico: U.S. Geological Survey Open-File Report 2013-1108, vi, 15 p.; Maps: 3 Sheets: 33 x 22 inches, https://doi.org/10.3133/ofr20131108.","productDescription":"vi, 15 p.; Maps: 3 Sheets: 33 x 22 inches","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":272806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":272803,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1108/ofr2013-1108-pl1.pdf"},{"id":272804,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1108/ofr2013-1108-pl2.pdf"},{"id":272805,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1108/ofr2013-1108-pl3.pdf"},{"id":272801,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1108/"},{"id":272802,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1108/ofr2013-1108.pdf"}],"country":"United States","state":"New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,31.3 ], [ -109.0,37.0 ], [ -103.0,37.0 ], [ -103.0,31.3 ], [ -109.0,31.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a07dd8e4b0e4245580366c","contributors":{"authors":[{"text":"Tillery, Anne C. 0000-0002-9508-7908 atillery@usgs.gov","orcid":"https://orcid.org/0000-0002-9508-7908","contributorId":2549,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","email":"atillery@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478924,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046090,"text":"ofr20131082 - 2013 - Implications of flume slope on discharge estimates from 0.762-meter H flumes used in edge-of-field monitoring","interactions":[],"lastModifiedDate":"2013-05-24T09:46:18","indexId":"ofr20131082","displayToPublicDate":"2013-05-24T00:00:00","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":"2013-1082","title":"Implications of flume slope on discharge estimates from 0.762-meter H flumes used in edge-of-field monitoring","docAbstract":"The effects of longitudinal slope on the estimation of discharge in a 0.762-meter (m) (depth at flume entrance) H flume were tested under controlled conditions with slopes from −8 to +8 percent and discharges from 1.2 to 323 liters per second. Compared to the stage-discharge rating for a longitudinal flume slope of zero, computed discharges were negatively biased (maximum −31 percent) when the flume was sloped downward from the front (entrance) to the back (exit), and positively biased (maximum 44 percent) when the flume was sloped upward. Biases increased with greater flume slopes and with lower discharges. A linear empirical relation was developed to compute a corrected reference stage for a 0.762-m H flume using measured stage and flume slope. The reference stage was then used to determine a corrected discharge from the stage-discharge rating. A dimensionally homogeneous correction equation also was developed, which could theoretically be used for all standard H-flume sizes. Use of the corrected discharge computation method for a sloped&nbsp;H&nbsp;flume was determined to have errors ranging from −2.2 to 4.6 percent compared to the H-flume measured discharge at a level position. These results emphasize the importance of the measurement of and the correction for flume slope during an edge-of-field study if the most accurate discharge estimates are desired.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131082","collaboration":"Prepared in cooperation with the University of Wisconsin–Madison Discovery Farms program and the University of Wisconsin–Platteville Pioneer Farm program","usgsCitation":"Komiskey, M.J., Stuntebeck, T.D., Cox, A.L., and Frame, D.R., 2013, Implications of flume slope on discharge estimates from 0.762-meter H flumes used in edge-of-field monitoring: U.S. Geological Survey Open-File Report 2013-1082, iv, 11 p., https://doi.org/10.3133/ofr20131082.","productDescription":"iv, 11 p.","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":272774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131082.jpg"},{"id":272772,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1082/"},{"id":272773,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1082/pdf/ofr2013-1082_web.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a07dd7e4b0e42455803668","contributors":{"authors":[{"text":"Komiskey, Matthew J. 0000-0003-2962-6974 mjkomisk@usgs.gov","orcid":"https://orcid.org/0000-0003-2962-6974","contributorId":1776,"corporation":false,"usgs":true,"family":"Komiskey","given":"Matthew","email":"mjkomisk@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stuntebeck, Todd D. 0000-0002-8405-7295 tdstunte@usgs.gov","orcid":"https://orcid.org/0000-0002-8405-7295","contributorId":902,"corporation":false,"usgs":true,"family":"Stuntebeck","given":"Todd","email":"tdstunte@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, Amanda L.","contributorId":35220,"corporation":false,"usgs":true,"family":"Cox","given":"Amanda","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":478886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frame, Dennis R.","contributorId":77282,"corporation":false,"usgs":true,"family":"Frame","given":"Dennis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":478887,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046098,"text":"sir20135078 - 2013 - Regional bankfull-channel dimensions of non-urban wadeable streams in Indiana","interactions":[],"lastModifiedDate":"2013-05-24T11:19:07","indexId":"sir20135078","displayToPublicDate":"2013-05-24T00:00:00","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":"2013-5078","title":"Regional bankfull-channel dimensions of non-urban wadeable streams in Indiana","docAbstract":"During floods, damage to properties and community infrastructure may result from inundation and the processes of erosion. The damages imparted by erosion are collectively termed the fluvial erosion hazard (FEH), and the Indiana Silver Jackets Multi-agency Hazard Mitigation Taskforce is supporting a program to build tools that will assist Indiana property owners and communities with FEH-mitigation efforts. As part of that program, regional channel-dimension relations are identified for non-urban wadeable streams in Indiana.\n\nWith a site-selection process that targeted the three largest physiographic regions of the state, field work was completed to measure channel-dimension and channel-geometry characteristics across Indiana. In total, 82 sites were identified for data collection; 25 in the Northern Moraine and Lake region, 31 in the Central Till Plain region, and 26 in the Southern Hills and Lowlands region.\n\nFollowing well established methods, for each data-collection site, effort was applied to identify bankfull stage, determine bankfull-channel dimensions, and document channel-geometry characteristics that allowed for determinations of channel classification. In this report, regional bankfull-channel dimension results are presented as a combination of plots and regression equations that identify the relations between drainage area and the bankfull-channel dimensions of width, mean depth, and cross-sectional area.\n\nThis investigation found that the channel-dimension data support independent relations for each of the three physiographic regions noted above. Furthermore, these relations show that, for any given drainage area, northern Indiana channels have the smallest predicted dimensions, southern Indiana channels have the largest predicted dimensions, and central Indiana channels are intermediate in their predicted dimensions. When considering the suite of variables that influence bankfull-channel dimensions, it appears that contrasting runoff characteristics between the three physiographic regions may explain much of the inequality observed in the measured channel dimensions. While this investigation targeted non-urban wadeable streams in Indiana, site conditions prevented data collection in some areas. Therefore, application of the results of this study always should include knowledge gained from local observations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135078","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Robinson, B.A., 2013, Regional bankfull-channel dimensions of non-urban wadeable streams in Indiana: U.S. Geological Survey Scientific Investigations Report 2013-5078, vi, 33 p., https://doi.org/10.3133/sir20135078.","productDescription":"vi, 33 p.","numberOfPages":"44","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":272789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135078.gif"},{"id":272787,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5078/"},{"id":272788,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5078/pdf/sir2013-5078.pdf"}],"country":"United States","state":"Indiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.0979,37.7717 ], [ -88.0979,41.7607 ], [ -84.7847,41.7607 ], [ -84.7847,37.7717 ], [ -88.0979,37.7717 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a07dd8e4b0e42455803670","contributors":{"authors":[{"text":"Robinson, Bret A. barobins@usgs.gov","contributorId":3897,"corporation":false,"usgs":true,"family":"Robinson","given":"Bret","email":"barobins@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":478909,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046049,"text":"70046049 - 2013 - Climate warming shifts carbon allocation from stemwood to roots in calcium-depleted spruce forests","interactions":[],"lastModifiedDate":"2013-05-23T15:05:08","indexId":"70046049","displayToPublicDate":"2013-05-23T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Climate warming shifts carbon allocation from stemwood to roots in calcium-depleted spruce forests","docAbstract":"Increased greening of northern forests, measured by the Normalized Difference Vegetation Index (NDVI), has been presented as evidence that a warmer climate has increased both net primary productivity (NPP) and the carbon sink in boreal forests. However, higher production and greener canopies may accompany changes in carbon allocation that favor foliage or fine roots over less decomposable woody biomass. Furthermore, tree core data throughout mid- and northern latitudes have revealed a divergence problem (DP), a weakening in tree ring responses to warming over the past half century that is receiving increasing attention, but remains poorly understood. Often, the same sites exhibit trend inconsistency phenomenon (TIP), namely positive, or no trends in growing season NDVI where negative trends in tree ring indexes are observed. Here we studied growth of two Norway spruce (Picea abies) stands in western Russia that exhibited both the DP and TIP but were subject to soil acidification and calcium depletion of differing timing and severity. Our results link the decline in radial growth starting in 1980 to a shift in carbon allocation from wood to roots driven by a combination of two factors: (a) soil acidification that depleted calcium and impaired root function and (b) earlier onset of the growing season that further taxed the root system. The latter change in phenology appears to act as a trigger at both sites to push trees into nutrient limitation as the demand for Ca increased with the longer growing season, thereby causing the shift in carbon allocation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Biogeochemical Cycles","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2011GB004268","usgsCitation":"Lapenis, A.G., Lawrence, G.B., Heim, A., Zheng, C., and Shortle, W., 2013, Climate warming shifts carbon allocation from stemwood to roots in calcium-depleted spruce forests: Global Biogeochemical Cycles, v. 27, no. 1, p. 101-107, https://doi.org/10.1029/2011GB004268.","productDescription":"7 p.","startPage":"101","endPage":"107","ipdsId":"IP-027588","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":473817,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gb004268","text":"Publisher Index Page"},{"id":272763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272762,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GB004268"}],"volume":"27","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-14","publicationStatus":"PW","scienceBaseUri":"519f2c5be4b0687ba0506b56","contributors":{"authors":[{"text":"Lapenis, Andrei Gennady","contributorId":11922,"corporation":false,"usgs":true,"family":"Lapenis","given":"Andrei","email":"","middleInitial":"Gennady","affiliations":[],"preferred":false,"id":478766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heim, Alexander","contributorId":58541,"corporation":false,"usgs":true,"family":"Heim","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":478768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zheng, Chengyang","contributorId":75048,"corporation":false,"usgs":true,"family":"Zheng","given":"Chengyang","email":"","affiliations":[],"preferred":false,"id":478769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shortle, Walter","contributorId":22233,"corporation":false,"usgs":true,"family":"Shortle","given":"Walter","affiliations":[],"preferred":false,"id":478767,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046085,"text":"sir20135081 - 2013 - Improved estimates of filtered total mercury loadings and total mercury concentrations of solids from potential sources to Sinclair Inlet, Kitsap County, Washington","interactions":[],"lastModifiedDate":"2013-05-23T15:33:20","indexId":"sir20135081","displayToPublicDate":"2013-05-23T00:00:00","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":"2013-5081","title":"Improved estimates of filtered total mercury loadings and total mercury concentrations of solids from potential sources to Sinclair Inlet, Kitsap County, Washington","docAbstract":"Previous investigations examined sources and sinks of mercury to Sinclair Inlet based on historic and new data. This included an evaluation of mercury concentrations from various sources and mercury loadings from industrial discharges and groundwater flowing from the Bremerton naval complex to Sinclair Inlet. This report provides new data from four potential sources of mercury to Sinclair Inlet: (1) filtered and particulate total mercury concentrations of creek water during the wet season, (2) filtered and particulate total mercury releases from the Navy steam plant following changes in the water softening process and discharge operations, (3) release of mercury from soils to groundwater in two landfill areas at the Bremerton naval complex, and (4) total mercury concentrations of solids in dry dock sumps that were not affected by bias from sequential sampling.\n\nThe previous estimate of the loading of filtered total mercury from Sinclair Inlet creeks was based solely on dry season samples. Concentrations of filtered total mercury in creek samples collected during wet weather were significantly higher than dry weather concentrations, which increased the estimated loading of filtered total mercury from creek basins from 27.1 to 78.1 grams per year.\n\nChanges in the concentrations and loading of filtered and particulate total mercury in the effluent of the steam plant were investigated after the water softening process was changed from ion-exchange to reverse osmosis and the discharge of stack blow-down wash began to be diverted to the municipal water-treatment plant. These changes reduced the concentrations of filtered and particulate total mercury from the steam plant of the Bremerton naval complex, which resulted in reduced loadings of filtered total mercury from 5.9 to 0.15 grams per year.\n\nPrevious investigations identified three fill areas on the Bremerton naval complex, of which the western fill area is thought to be the largest source of mercury on the base. Studies of groundwater in the other two fill areas were conducted under worst-case higher high tidal conditions. A December 2011 study found that concentrations of filtered total mercury in the well in the fill area on the eastern boundary of the Bremerton naval complex were less than or equal to 11 nanograms per liter, indicating that releases from the eastern area were unlikely. In addition, concentrations of total mercury of solids were low (<3 milligrams per kilogram). In contrast, data from the November 2011 study indicated that the concentrations of filtered total mercury in the well located in the central fill area had tidally influenced concentrations of up to 500 nanograms per liter and elevated concentrations of total mercury of solids (29–41 milligrams per kilogram). This suggests that releases from this area, which has not been previously studied in detail, may be substantial.\n\nPrevious measurements of total mercury of suspended solids in the dry dock discharges revealed high concentration of total mercury when suspended-solids concentrations were low. However, this result could have been owing to bias from sequential sampling during changing suspended‑solids concentrations. Sampling of two dry dock systems on the complex in a manner that precluded this bias confirmed that suspended-solids concentrations and total mercury concentrations of suspended solids varied considerably during pumping cycles. These new data result in revised estimates of solids loadings from the dry docks. Although most of the solids discharged by the dry docks seem to be recycled Operable Unit B Marine sediment, a total of about 3.2 metric tons of solids per year containing high concentrations of total mercury were estimated to be discharged by the two dry dock systems. A simple calculation, in which solids (from dry docks, the steam plant, and tidal flushing of the largest stormwater drain) are widely dispersed throughout Operable Unit B Marine, suggests that Bremerton naval complex solids would likely have little effect on Operable Unit B Marine sediments because of high concentrations of mercury already present in the sediment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135081","collaboration":"Prepared in cooperation with Department of the Navy Naval Facilities Engineering Command, Northwest","usgsCitation":"Paulson, A.J., Conn, K., and DeWild, J.F., 2013, Improved estimates of filtered total mercury loadings and total mercury concentrations of solids from potential sources to Sinclair Inlet, Kitsap County, Washington: U.S. Geological Survey Scientific Investigations Report 2013-5081, vi, 35 p., https://doi.org/10.3133/sir20135081.","productDescription":"vi, 35 p.","numberOfPages":"46","additionalOnlineFiles":"N","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":272768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135081.png"},{"id":272766,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5081/"},{"id":272767,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5081/pdf/sir20135081.pdf"}],"country":"United States","state":"Washington","county":"Kitsap County","otherGeospatial":"Sinclair Inlet","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.04,47.4 ], [ -123.04,47.97 ], [ -122.43,47.97 ], [ -122.43,47.4 ], [ -123.04,47.4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"519f2c5ce4b0687ba0506b5e","contributors":{"authors":[{"text":"Paulson, Anthony J. 0000-0002-2358-8834 apaulson@usgs.gov","orcid":"https://orcid.org/0000-0002-2358-8834","contributorId":5236,"corporation":false,"usgs":true,"family":"Paulson","given":"Anthony","email":"apaulson@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":478857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conn, Kathleen E. 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":3923,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen E.","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeWild, John F. 0000-0003-4097-2798 jfdewild@usgs.gov","orcid":"https://orcid.org/0000-0003-4097-2798","contributorId":2525,"corporation":false,"usgs":true,"family":"DeWild","given":"John","email":"jfdewild@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478855,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046080,"text":"ofr20131114 - 2013 - Nahcolite and halite deposition through time during the saline mineral phase of Eocene Lake Uinta, Piceance Basin, western Colorado","interactions":[],"lastModifiedDate":"2013-05-23T14:05:09","indexId":"ofr20131114","displayToPublicDate":"2013-05-23T00:00:00","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":"2013-1114","title":"Nahcolite and halite deposition through time during the saline mineral phase of Eocene Lake Uinta, Piceance Basin, western Colorado","docAbstract":"Halite and the sodium bicarbonate mineral nahcolite were deposited during the saline phase of Eocene Lake Uinta in the Piceance Basin, western Colorado. Variations in the area of saline mineral deposition through time were interpreted from studies of core and outcrop. Saline minerals were extensively leached by groundwater, so the original extent of saline deposition was estimated from the distribution of empty vugs and collapse breccias. Vugs and breccias strongly influence groundwater movement, so determining where leaching has occurred is an important consideration for in-situ oil shale extraction methods currently being developed.\n\nLake Uinta formed when two smaller fresh water lakes, one in the Uinta Basin of eastern Utah and the other in the Piceance Basin of western Colorado, expanded and coalesced across the Douglas Creek arch, an area of comparatively low subsidence rates. Salinity increased shortly after this expansion, but saline mineral deposition did not begin until later, after a period of prolonged infilling created broad lake-margin shelves and a comparatively small deep central lake area. These shelves probably played a critical role in brine evolution. A progression from disseminated nahcolite and nahcolite aggregates to bedded nahcolite and ultimately to bedded nahcolite and halite was deposited in this deep lake area during the early stages of saline deposition along with rich oil shale that commonly shows signs of slumping and lateral transport. The area of saline mineral and rich oil shale deposition subsequently expanded, in part due to infilling of the compact deep area, and in part because of an increase in water flow into Lake Uinta, possibly due to outflow from Lake Gosiute to the north. Finally, as Lake Uinta in the Piceance Basin was progressively filled from north to south by volcano-clastic sediment, the saline depocenter was pushed progressively southward, eventually covering much of the areas that had previously been marginal shelves. A saline depocenter formed in the eastern Uinta Basin during this progradation, and saline minerals were deposited in both basins for a time. Ultimately, the saline depocenter in the Piceance Basin was completely filled in and saline mineral deposition shifted entirely into the Uinta Basin.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20131114","usgsCitation":"Johnson, R.C., and Brownfield, M.E., 2013, Nahcolite and halite deposition through time during the saline mineral phase of Eocene Lake Uinta, Piceance Basin, western Colorado: U.S. Geological Survey Open-File Report 2013-1114, 71 p., https://doi.org/10.3133/ofr20131114.","productDescription":"71 p.","numberOfPages":"73","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":272754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131114.png"},{"id":272752,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1114/"},{"id":272753,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1114/OF13-1114_508.pdf"}],"country":"United States","state":"Colorado","otherGeospatial":"Lake Uinta;Piceance Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,37.0 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,37.0 ], [ -109.0,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"519f2c5ce4b0687ba0506b62","contributors":{"authors":[{"text":"Johnson, Ronald C. 0000-0002-6197-5165 rcjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-6197-5165","contributorId":1550,"corporation":false,"usgs":true,"family":"Johnson","given":"Ronald","email":"rcjohnson@usgs.gov","middleInitial":"C.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":478848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":478847,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046045,"text":"70046045 - 2013 - A USANS/SANS study of the accessibility of pores in the Barnett Shale to methane and water","interactions":[],"lastModifiedDate":"2013-05-23T12:55:44","indexId":"70046045","displayToPublicDate":"2013-05-23T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1506,"text":"Energy & Fuels","active":true,"publicationSubtype":{"id":10}},"title":"A USANS/SANS study of the accessibility of pores in the Barnett Shale to methane and water","docAbstract":"Shale is an increasingly important source of natural gas in the United States. The gas is held in fine pores that need to be accessed by horizontal drilling and hydrofracturing techniques. Understanding the nature of the pores may provide clues to making gas extraction more efficient. We have investigated two Mississippian Barnett Shale samples, combining small-angle neutron scattering (SANS) and ultrasmall-angle neutron scattering (USANS) to determine the pore size distribution of the shale over the size range 10 nm to 10 μm. By adding deuterated methane (CD<sub>4</sub>) and, separately, deuterated water (D<sub>2</sub>O) to the shale, we have identified the fraction of pores that are accessible to these compounds over this size range. The total pore size distribution is essentially identical for the two samples. At pore sizes >250 nm, >85% of the pores in both samples are accessible to both CD<sub>4</sub> and D<sub>2</sub>O. However, differences in accessibility to CD<sub>4</sub> are observed in the smaller pore sizes (~25 nm). In one sample, CD<sub>4</sub> penetrated the smallest pores as effectively as it did the larger ones. In the other sample, less than 70% of the smallest pores (<25 nm) were accessible to CD<sub>4</sub>, but they were still largely penetrable by water, suggesting that small-scale heterogeneities in methane accessibility occur in the shale samples even though the total porosity does not differ. An additional study investigating the dependence of scattered intensity with pressure of CD<sub>4</sub> allows for an accurate estimation of the pressure at which the scattered intensity is at a minimum. This study provides information about the composition of the material immediately surrounding the pores. Most of the accessible (open) pores in the 25 nm size range can be associated with either mineral matter or high reflectance organic material. However, a complementary scanning electron microscopy investigation shows that most of the pores in these shale samples are contained in the organic components. The neutron scattering results indicate that the pores are not equally proportioned in the different constituents within the shale. There is some indication from the SANS results that the composition of the pore-containing material varies with pore size; the pore size distribution associated with mineral matter is different from that associated with organic phases.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Energy & Fuels","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","doi":"10.1021/ef301859s","usgsCitation":"Ruppert, L.F., Sakurovs, R., Blach, T.P., He, L., Melnichenko, Y., Mildner, D.F., and Alcantar-Lopez, L., 2013, A USANS/SANS study of the accessibility of pores in the Barnett Shale to methane and water: Energy & Fuels, v. 27, no. 2, p. 772-779, https://doi.org/10.1021/ef301859s.","productDescription":"8 p.","startPage":"772","endPage":"779","ipdsId":"IP-042255","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":272751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272750,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/ef301859s"}],"country":"United States","state":"Texas","otherGeospatial":"Barnett Shale","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.65,25.84 ], [ -106.65,36.5 ], [ -93.51,36.5 ], [ -93.51,25.84 ], [ -106.65,25.84 ] ] ] } } ] }","volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-12","publicationStatus":"PW","scienceBaseUri":"519f2c52e4b0687ba0506b46","contributors":{"authors":[{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":478753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sakurovs, Richard","contributorId":68633,"corporation":false,"usgs":true,"family":"Sakurovs","given":"Richard","affiliations":[],"preferred":false,"id":478756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blach, Tomasz P.","contributorId":99866,"corporation":false,"usgs":true,"family":"Blach","given":"Tomasz","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":478758,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"He, Lilin","contributorId":107594,"corporation":false,"usgs":true,"family":"He","given":"Lilin","email":"","affiliations":[],"preferred":false,"id":478759,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melnichenko, Yuri B.","contributorId":98202,"corporation":false,"usgs":true,"family":"Melnichenko","given":"Yuri B.","affiliations":[],"preferred":false,"id":478757,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mildner, David F.","contributorId":65747,"corporation":false,"usgs":true,"family":"Mildner","given":"David","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":478755,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alcantar-Lopez, Leo","contributorId":8361,"corporation":false,"usgs":true,"family":"Alcantar-Lopez","given":"Leo","email":"","affiliations":[],"preferred":false,"id":478754,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70046056,"text":"70046056 - 2013 - Seawater circulation in sediments driven by interactions between seabed topography and fluid density","interactions":[],"lastModifiedDate":"2018-02-21T15:26:09","indexId":"70046056","displayToPublicDate":"2013-05-23T00:00:00","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":"Seawater circulation in sediments driven by interactions between seabed topography and fluid density","docAbstract":"Measurements of submarine groundwater discharge (SGD) in coastal areas often show that the saltwater discharge component is substantially greater than the freshwater discharge. Several mechanisms have been proposed to explain these high saltwater discharge values, including saltwater circulation driven by wave and tidal pumping, wave and tidal setup in intertidal areas, currents over bedforms, and density gradients resulting from mixing along the freshwater-saltwater interface. In this study, a new mechanism for saltwater circulation and discharge is proposed and evaluated. The process results from interaction between bedform topography and buoyancy forces, even without flow or current over the bedform. In this mechanism, an inverted salinity (and density) profile in the presence of both a bedform on the seafloor and an upward flow of fresher groundwater from depth induces a downward flow of saline pore water under the troughs and upward flow under the adjacent crest of the bedform. The magnitude and occurrence of the mechanism were tested using numerical methods. The results indicate that this mechanism could drive seawater circulation under a limited range of conditions and contribute 20%–30% of local SGD when and where the process is operative. Bedform shape, hydraulic conductivity, hydraulic head, and salinity at depth in the porous media, aquifer thickness, effective porosity, and hydrodynamic dispersion are among the factors that control the occurrence and magnitude of the circulation of seawater by this mechanism.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1002/wrcr.20121","usgsCitation":"Konikow, L.F., Akhavan, M., Langevin, C., Michael, H., and Sawyer, A., 2013, Seawater circulation in sediments driven by interactions between seabed topography and fluid density: Water Resources Research, v. 49, no. 3, p. 1386-1399, https://doi.org/10.1002/wrcr.20121.","productDescription":"14 p.","startPage":"1386","endPage":"1399","ipdsId":"IP-040793","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":272747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272746,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20121"}],"volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-12","publicationStatus":"PW","scienceBaseUri":"519f2c5de4b0687ba0506b72","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":478780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akhavan, M.","contributorId":22659,"corporation":false,"usgs":true,"family":"Akhavan","given":"M.","email":"","affiliations":[],"preferred":false,"id":478777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langevin, C.D.","contributorId":25976,"corporation":false,"usgs":true,"family":"Langevin","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":478778,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Michael, H.A.","contributorId":98858,"corporation":false,"usgs":true,"family":"Michael","given":"H.A.","email":"","affiliations":[],"preferred":false,"id":478781,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sawyer, A.H.","contributorId":33197,"corporation":false,"usgs":true,"family":"Sawyer","given":"A.H.","email":"","affiliations":[],"preferred":false,"id":478779,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046073,"text":"pp1798C - 2013 - Peak streamflows and runoff volumes for the Central United States, February through September, 2011","interactions":[{"subject":{"id":70046073,"text":"pp1798C - 2013 - Peak streamflows and runoff volumes for the Central United States, February through September, 2011","indexId":"pp1798C","publicationYear":"2013","noYear":false,"chapter":"C","title":"Peak streamflows and runoff volumes for the Central United States, February through September, 2011"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":1}],"isPartOf":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"lastModifiedDate":"2024-10-18T13:18:41.991968","indexId":"pp1798C","displayToPublicDate":"2013-05-23T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1798","chapter":"C","title":"Peak streamflows and runoff volumes for the Central United States, February through September, 2011","docAbstract":"During 2011, excessive precipitation resulted in widespread flooding in the Central United States with 33 fatalities and approximately $4.2 billion in damages reported in the Souris/Red River of the North (Souris/Red) and Mississippi River Basins. At different times, beginning in late February 2011 and extending through September 2011, various rivers in these basins had major flooding, with some locations receiving multiple rounds of flooding. Peak streamflow records were broken at 105 streamgages in the Souris/Red and Mississippi River Basins and annual runoff volume records set at 47 of the 211 streamgages analyzed for annual runoff. For the period of 1950 through 2011, the Ohio River provided almost one-half of the annual runoff at Vicksburg; the Missouri River contributed less than one-fourth, and the lower Mississippi River less than one-fourth. Those relative contribution patterns also occurred in 1973 and 2011, with the notable exception of the decrease in contribution of the lower Mississippi River tributaries and the increase in contribution from the upper Missouri River Basin in 2011 as compared to 1973 and the long-term average from 1950 to 2011.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2011 floods of the central United States (Professional Paper 1798)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798C","usgsCitation":"Holmes, R.R., Wiche, G.J., Koenig, T.A., and Sando, S.K., 2013, Peak streamflows and runoff volumes for the Central United States, February through September, 2011: U.S. Geological Survey Professional Paper 1798, iv, 60 p., https://doi.org/10.3133/pp1798C.","productDescription":"iv, 60 p.","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-02-01","temporalEnd":"2011-09-30","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":272649,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1798c/pp1798c.pdf"},{"id":272648,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798c/"},{"id":272650,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798C.gif"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,24.52 ], [ -124.41,49.0 ], [ -67.0,49.0 ], [ -67.0,24.52 ], [ -124.41,24.52 ] ] ] } } ] }","contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"519f2c5ce4b0687ba0506b66","contributors":{"authors":[{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":478822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiche, Gregg J. gjwiche@usgs.gov","contributorId":1675,"corporation":false,"usgs":true,"family":"Wiche","given":"Gregg","email":"gjwiche@usgs.gov","middleInitial":"J.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koenig, Todd A. 0000-0001-5635-0219 tkoenig@usgs.gov","orcid":"https://orcid.org/0000-0001-5635-0219","contributorId":4463,"corporation":false,"usgs":true,"family":"Koenig","given":"Todd","email":"tkoenig@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":478824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sando, Steven K. 0000-0003-1206-1030 sksando@usgs.gov","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":1016,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"sksando@usgs.gov","middleInitial":"K.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478821,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046078,"text":"fs20133028 - 2013 - Visualizing flow fields using acoustic Doppler current profilers and the Velocity Mapping Toolbox","interactions":[],"lastModifiedDate":"2013-05-23T11:37:47","indexId":"fs20133028","displayToPublicDate":"2013-05-23T00:00:00","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":"2013-3028","title":"Visualizing flow fields using acoustic Doppler current profilers and the Velocity Mapping Toolbox","docAbstract":"The purpose of this fact sheet is to provide examples of how the U.S. Geological Survey is using acoustic Doppler current profilers for much more than routine discharge measurements. These instruments are capable of mapping complex three-dimensional flow fields within rivers, lakes, and estuaries. Using the Velocity Mapping Toolbox to process the ADCP data allows detailed visualization of the data, providing valuable information for a range of studies and applications.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133028","usgsCitation":"Jackson, P., 2013, Visualizing flow fields using acoustic Doppler current profilers and the Velocity Mapping Toolbox: U.S. Geological Survey Fact Sheet 2013-3028, 4 p., https://doi.org/10.3133/fs20133028.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":272690,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3028/"},{"id":272693,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3028/pdf/fs2013-3028.pdf"},{"id":272698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133028.gif"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"519f2c5fe4b0687ba0506b82","contributors":{"authors":[{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","affiliations":[],"preferred":false,"id":478841,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046081,"text":"sir20135007 - 2013 - Relation of watershed setting and stream nutrient yields at selected sites in central and eastern North Carolina, 1997-2008","interactions":[],"lastModifiedDate":"2017-01-17T20:36:54","indexId":"sir20135007","displayToPublicDate":"2013-05-23T00:00:00","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":"2013-5007","title":"Relation of watershed setting and stream nutrient yields at selected sites in central and eastern North Carolina, 1997-2008","docAbstract":"Data collected between 1997 and 2008 at 48 stream sites were used to characterize relations between watershed settings and stream nutrient yields throughout central and eastern North Carolina. The focus of the investigation was to identify environmental variables in watersheds that influence nutrient export for supporting the development and prioritization of management strategies for restoring nutrient-impaired streams.\n\nNutrient concentration data and streamflow data compiled for the 1997 to 2008 study period were used to compute stream yields of nitrate, total nitrogen (N), and total phosphorus (P) for each study site. Compiled environmental data (including variables for land cover, hydrologic soil groups, base-flow index, streams, wastewater treatment facilities, and concentrated animal feeding operations) were used to characterize the watershed settings for the study sites. Data for the environmental variables were analyzed in combination with the stream nutrient yields to explore relations based on watershed characteristics and to evaluate whether particular variables were useful indicators of watersheds having relatively higher or lower potential for exporting nutrients.\n\nData evaluations included an examination of median annual nutrient yields based on a watershed land-use classification scheme developed as part of the study. An initial examination of the data indicated that the highest median annual nutrient yields occurred at both agricultural and urban sites, especially for urban sites having large percentages of point-source flow contributions to the streams. The results of statistical testing identified significant differences in annual nutrient yields when sites were analyzed on the basis of watershed land-use category. When statistical differences in median annual yields were noted, the results for nitrate, total N, and total P were similar in that highly urbanized watersheds (greater than 30 percent developed land use) and (or) watersheds with greater than 10 percent point-source flow contributions to streamflow had higher yields relative to undeveloped watersheds (having less than 10 and 15 percent developed and agricultural land uses, respectively) and watersheds with relatively low agricultural land use (between 15 and 30 percent). The statistical tests further indicated that the median annual yields for total P were statistically higher for watersheds with high agricultural land use (greater than 30 percent) compared to the undeveloped watersheds and watersheds with low agricultural land use. The total P yields also were higher for watersheds with low urban land use (between 10 and 30 percent developed land) compared to the undeveloped watersheds. The study data indicate that grouping and examining stream nutrient yields based on the land-use classifications used in this report can be useful for characterizing relations between watershed settings and nutrient yields in streams located throughout central and eastern North Carolina.\n\nCompiled study data also were analyzed with four regression tree models as a means of determining which watershed environmental variables or combination of variables result in basins that are likely to have high or low nutrient yields. The regression tree analyses indicated that some of the environmental variables examined in this study were useful for predicting yields of nitrate, total N, and total P. When the median annual nutrient yields for all 48 sites were evaluated as a group (Model 1), annual point-source flow yields had the greatest influence on nitrate and total N yields observed in streams, and annual streamflow yields had the greatest influence on yields of total P. The Model 1 results indicated that watersheds with higher annual point-source flow yields had higher annual yields of nitrate and total N, and watersheds with higher annual streamflow yields had higher annual yields of total P.\n\nWhen sites with high point-source flows (greater than 10 percent of total streamflow) were excluded from the regression tree analyses (Models 2–4), the percentage of forested land in the watersheds was identified as the primary environmental variable influencing stream yields for both total N and total P. Models 2, 3 and 4 did not identify any watershed environmental variables that could adequately explain the observed variability in the nitrate yields among the set of sites examined by each of these models. The results for Models 2, 3, and 4 indicated that watersheds with higher percentages of forested land had lower annual total N and total P yields compared to watersheds with lower percentages of forested land, which had higher median annual total N and total P yields. Additional environmental variables determined to further influence the stream nutrient yields included median annual percentage of point-source flow contributions to the streams, variables of land cover (percentage of forested land, agricultural land, and (or) forested land plus wetlands) in the watershed and (or) in the stream buffer, and drainage area. The regression tree models can serve as a tool for relating differences in select watershed attributes to differences in stream yields of nitrate, total N, and total P, which can provide beneficial information for improving nutrient management in streams throughout North Carolina and for reducing nutrient loads to coastal waters.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135007","collaboration":"Prepared in cooperation with the North Carolina Department of Environment and Natural Resources, Division of Water Quality","usgsCitation":"Harden, S.L., Cuffney, T.F., Terziotti, S., and Kolb, K.R., 2013, Relation of watershed setting and stream nutrient yields at selected sites in central and eastern North Carolina, 1997-2008: U.S. Geological Survey Scientific Investigations Report 2013-5007, vii, 47 p.; 4 Appendixes, https://doi.org/10.3133/sir20135007.","productDescription":"vii, 47 p.; 4 Appendixes","numberOfPages":"59","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1997-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":272761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135007.png"},{"id":272757,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5007/Appendixes/Appendix1"},{"id":272755,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5007/"},{"id":272760,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5007/Appendixes/Appendix4"},{"id":272758,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5007/Appendixes/Appendix2"},{"id":272759,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5007/Appendixes/Appendix3"},{"id":272756,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5007/pdf/sir2013-5007.pdf"}],"country":"United States","state":"North Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.32,33.84 ], [ -84.32,36.59 ], [ -75.46,36.59 ], [ -75.46,33.84 ], [ -84.32,33.84 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"519f2c5de4b0687ba0506b6e","contributors":{"authors":[{"text":"Harden, Stephen L. 0000-0001-6886-0099 slharden@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-0099","contributorId":2212,"corporation":false,"usgs":true,"family":"Harden","given":"Stephen","email":"slharden@usgs.gov","middleInitial":"L.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cuffney, Thomas F. 0000-0003-1164-5560 tcuffney@usgs.gov","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":517,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"tcuffney@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terziotti, Silvia 0000-0003-3559-5844 seterzio@usgs.gov","orcid":"https://orcid.org/0000-0003-3559-5844","contributorId":1613,"corporation":false,"usgs":true,"family":"Terziotti","given":"Silvia","email":"seterzio@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolb, Katharine R. 0000-0002-1663-1662 kkolb@usgs.gov","orcid":"https://orcid.org/0000-0002-1663-1662","contributorId":16299,"corporation":false,"usgs":true,"family":"Kolb","given":"Katharine","email":"kkolb@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":478852,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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