John Wesley Powell, second Director of the U.S. Geological Survey, had a vision for the Western United States. In the late 1800s, Powell explored the West as head of the Geographical and Geological Survey of the Rocky Mountain Region. He devoted a large part of “Report on the Lands of the Arid Region of the United States with a more detailed account of the land of Utah with maps,” his 1878 report to the General Land Office on the lands west of the 100th meridian, to the feasibility of “reclaiming” large portions of this arid land.
\nPowell recognized that the availability of water was key to the wise settlement of the region. He proposed to inventory all streams in the West to evaluate the potential for irrigation. The essential first step was to gage the flows of the rivers and streams.
\nA few cities in the Eastern United States had established primitive streamgages as early as the 1870s to acquire data needed for the design of their water supply systems. Their methods generally used constructed channels and dams to enable accurate gaging. These methods were not feasible in the West, and certainly not on the vast scale and extreme range of flows common to western streams. New, more flexible techniques were needed. A site was chosen where these methods could be worked out and developed in a practical setting.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143034","issn":"2327-6932","usgsCitation":"Gunn, M.A., Matherne, A.M., and Mason, 2014, The USGS at Embudo, New Mexico: 125 years of systematic streamgaging in the United States: U.S. Geological Survey Fact Sheet 2014-3034, Report: 4 p.; Poster: 17.00 x 11.00 inches, https://doi.org/10.3133/fs20143034.","productDescription":"Report: 4 p.; Poster: 17.00 x 11.00 inches","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-055268","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":286438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143034.jpg"},{"id":286436,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3034/pdf/fs2014-3034.pdf"},{"id":286437,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/fs/2014/3034/pdf/fs2014-3034_poster.pdf"},{"id":285910,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3034/"}],"country":"United States","state":"New Mexico","city":"Embudo","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.977139,36.198519 ], [ -105.977139,36.216526 ], [ -105.945124,36.216526 ], [ -105.945124,36.198519 ], [ -105.977139,36.198519 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563df2e4b03a277fd6adbe","contributors":{"authors":[{"text":"Gunn, Mark A. mgunn@usgs.gov","contributorId":4405,"corporation":false,"usgs":true,"family":"Gunn","given":"Mark","email":"mgunn@usgs.gov","middleInitial":"A.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492540,"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":492538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mason, Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":2090,"corporation":false,"usgs":true,"family":"Mason","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":492539,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70095685,"text":"ofr20141039 - 2014 - Precipitation and streamflow data from the Fort Carson Military Reservation and precipitation, streamflow, and suspended-sediment data from the Piñon Canyon Maneuver Site, Southeastern Colorado, 2008-2012","interactions":[],"lastModifiedDate":"2014-04-22T08:21:09","indexId":"ofr20141039","displayToPublicDate":"2014-04-18T13:00:00","publicationYear":"2014","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":"2014-1039","title":"Precipitation and streamflow data from the Fort Carson Military Reservation and precipitation, streamflow, and suspended-sediment data from the Piñon Canyon Maneuver Site, Southeastern Colorado, 2008-2012","docAbstract":"In 2013, the U.S. Geological Survey (USGS), in cooperation with the U. S. Department of the Army, compiled available precipitation and streamflow data for the years of 2008–2012 from the Fort Carson Military Reservation (Fort Carson) near Colorado Springs, Colo., and precipitation, streamflow, and suspended-sediment loads from the Piñon Canyon Maneuver Site (PCMS) near Trinidad, Colo. Graphical representations of the data presented herein are a continuation of work completed by the USGS in 2008 to gain a better understanding of spatial and temporal trends within the hydrologic data.
\n\nPrecipitation stations at Fort Carson and the PCMS were divided into groups based on their land-surface altitude (LSA) to determine if there is a spatial difference in precipitation amounts based on LSA for either military facility. Two-sample t-tests and Wilcoxon rank-sum tests indicated statistically significant differences exist between precipitation values at different groups for Fort Carson but not for the PCMS. All five precipitation stations at Fort Carson exhibit a decrease in median daily total precipitation from years 2002–2007 to 2008–2012. For the PCMS, median precipitation values decreased from the first study period to the second for the 13 stations monitored year-round except for Burson and Big Hills.
\n\nMean streamflow for 2008–2012 is less than mean streamflow for 1983–2007 for all stream-gaging stations at Fort Carson and at the PCMS. During the study period, each of the stream-gaging stations within the tributary channels at the PCMS accounted for less than three percent of the total streamflow at the Purgatoire River at Rock Crossing gage. Peak streamflow for 2008–2012 is less than peak streamflow for 2002–2007 at both Fort Carson and the PCMS. At the PCMS, mean suspended-sediment yield for 2008–2012 increased by 54 percent in comparison to the mean yield for 2002–2007. This increase is likely related to the destruction of groundcover by a series of wildfires within the PCMS in 2008 and 2011.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141039","collaboration":"Prepared in cooperation with the U.S. Department of the Army","usgsCitation":"Brown, C.R., 2014, Precipitation and streamflow data from the Fort Carson Military Reservation and precipitation, streamflow, and suspended-sediment data from the Piñon Canyon Maneuver Site, Southeastern Colorado, 2008-2012: U.S. Geological Survey Open-File Report 2014-1039, v, 39 p., https://doi.org/10.3133/ofr20141039.","productDescription":"v, 39 p.","numberOfPages":"47","onlineOnly":"Y","ipdsId":"IP-050832","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":286419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141039.jpg"},{"id":286418,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1039/pdf/ofr2014-1039.pdf"},{"id":286417,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1039/"}],"projection":"World Geodetic System 84 projection zone 13","datum":"North American Datum of 1983","country":"United States","state":"Colorado","otherGeospatial":"Pi�on Canyon Maneuver Site","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105,38.416 ], [ -105,38.083 ], [ -104.583,38.083 ], [ -104.583,38.416 ], [ -105,38.416 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53523b53e4b0198343cffa7b","contributors":{"authors":[{"text":"Brown, Christopher R. crbrown@usgs.gov","contributorId":4751,"corporation":false,"usgs":true,"family":"Brown","given":"Christopher","email":"crbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491353,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70098937,"text":"sir20135242 - 2014 - Geologic and hydrogeologic characteristics of the Ogallala Formation and White River Group, Belvoir Ranch near Cheyenne, Laramie County, Wyoming","interactions":[],"lastModifiedDate":"2014-04-17T15:54:52","indexId":"sir20135242","displayToPublicDate":"2014-04-17T15:37:00","publicationYear":"2014","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":"2013-5242","title":"Geologic and hydrogeologic characteristics of the Ogallala Formation and White River Group, Belvoir Ranch near Cheyenne, Laramie County, Wyoming","docAbstract":"The geologic and hydrogeologic characteristics of Tertiary lithostratigraphic units (Ogallala Formation and White River Group) that typically compose or underlie the High Plains aquifer system in southeastern Wyoming were described physically and chemically, and evaluated at a location on the Belvoir Ranch in Laramie County, Wyoming. On the basis of this characterization and evaluation, three Tertiary lithostratigraphic units were identified using physical and chemical characteristics determined during this study and previous studies, and these three units were determined to be correlative with three identified hydrogeologic units composing the groundwater system at the study site—a high-yielding aquifer composed of the entire saturated thickness of the heterogeneous and coarse-grained fluvial sediments assigned to the Ogallala Formation (Ogallala aquifer); an underlying confining unit composed primarily of very fine-grained volcaniclastic sediments and mudrocks assigned to the Brule Formation of the White River Group and some additional underlying sediments that belong to either the Brule or Chadron Formation, or both (Brule confining unit); and an underlying low-yielding aquifer composed primarily of poorly sorted fluvial sediments assigned to the Chadron Formation of the White River Group (Chadron aquifer).
\nDespite widely varying sediment heterogeneity and consolidation, some limited hydraulic connection throughout the full vertical extent of the Ogallala aquifer was indicated but not conclusively proven by interpretation of similar chemical and isotopic characteristics, modern apparent groundwater ages, and similar hydraulic-head responses measured continuously in two Ogallala aquifer monitoring wells installed for this study at two different widely separated (83 feet) depth intervals. Additional work beyond the scope of this study, such as aquifer tests, would be required to conclusively determine hydraulic connection within the Ogallala aquifer.
\nGroundwater levels (hydraulic heads) measured continuously using water-level recorders in both monitoring wells completed in the Ogallala aquifer showed a consistent strong upward vertical gradient in the Ogallala aquifer, indicating the potential for water to move from deeper to shallower parts of the aquifer, regardless of the time of year and the presumed effects of pumping of public-supply and industrial wells in the area. Continuous measurement of groundwater levels in the shallowest monitoring well, installed near the water table, and examination of subsequently constructed water-level hydrographs indicated substantial groundwater recharge is likely during the spring of 2009 and 2010 from the ephemeral stream (Lone Tree Creek) located adjacent to the study site that flows primarily in response to spring snowmelt from the adjacent Laramie Mountains and surface runoff from precipitation events. Using the water-table fluctuation method, groundwater recharge was estimated to be about 13 inches for the period beginning in early October 2009 and ending in late June 2010, and about 4 inches for the period beginning in March 2011 and ending in early July 2011. Comparison of previously measured groundwater levels (hydraulic heads) and groundwater-quality characteristics in nearby monitoring wells completed in the Chadron aquifer with those measured in the two monitoring wells installed for this study in the Ogallala aquifer, combined with detailed lithologic characterization, strongly indicated the Brule confining unit hydraulically confines and isolates the Chadron aquifer from the overlying Ogallala aquifer, thus likely limiting hydraulic connection between the two units. Consequently, because of the impermeable nature of the Brule confining unit and resulting hydraulic separation of the Ogallala and Chadron aquifers, and compared with local and regional hydrostratigraphic definitions of the High Plains aquifer system, the groundwater system in Tertiary lithostratigraphic units overlying the Upper Cretaceous Lance Formation at the location studied on the Belvoir Ranch was defined as being composed of, from shallowest to deepest, the High Plains aquifer system (high-yielding Ogallala aquifer only, composed of the saturated Ogallala Formation); the Brule confining unit composed of the Brule Formation of the White River Group and an underlying fine-grained depth interval with sediments that belong to either the Brule or Chadron Formation, or both; and the low-yielding Chadron aquifer (composed of poorly sorted coarse-grained sediments with substantial fine-grained matrix material assigned to the Chadron Formation of the White River Group).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135242","collaboration":"Prepared in cooperation with the Wyoming State Engineer’s Office","usgsCitation":"Bartos, T.T., Diehl, S.F., Hallberg, L.L., and Webster, D.M., 2014, Geologic and hydrogeologic characteristics of the Ogallala Formation and White River Group, Belvoir Ranch near Cheyenne, Laramie County, Wyoming: U.S. Geological Survey Scientific Investigations Report 2013-5242, Report: xiv, 100 p.; Plate: 48.0 x 62.0 inches, https://doi.org/10.3133/sir20135242.","productDescription":"Report: xiv, 100 p.; Plate: 48.0 x 62.0 inches","numberOfPages":"120","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-051473","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":286409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135242.jpg"},{"id":286406,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5242/"},{"id":286408,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5242/downloads/sir2014-5232_plate1.pdf"},{"id":286407,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5242/pdf/sir2013-5242.pdf"}],"projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Wyoming","county":"Laramie County","otherGeospatial":"Belvoir Ranch","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.5883,40.9732 ], [ -105.5883,41.7182 ], [ -104.022,41.7182 ], [ -104.022,40.9732 ], [ -105.5883,40.9732 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5350e9d2e4b05569d805572f","contributors":{"authors":[{"text":"Bartos, Timothy T. 0000-0003-1803-4375 ttbartos@usgs.gov","orcid":"https://orcid.org/0000-0003-1803-4375","contributorId":1826,"corporation":false,"usgs":true,"family":"Bartos","given":"Timothy","email":"ttbartos@usgs.gov","middleInitial":"T.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":491752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diehl, Sharon F. diehl@usgs.gov","contributorId":1089,"corporation":false,"usgs":true,"family":"Diehl","given":"Sharon","email":"diehl@usgs.gov","middleInitial":"F.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":491750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hallberg, Laura L. 0000-0001-9983-8003 lhallber@usgs.gov","orcid":"https://orcid.org/0000-0001-9983-8003","contributorId":1825,"corporation":false,"usgs":true,"family":"Hallberg","given":"Laura","email":"lhallber@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webster, Daniel M. webster@usgs.gov","contributorId":3529,"corporation":false,"usgs":true,"family":"Webster","given":"Daniel","email":"webster@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":491753,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70101782,"text":"fs20143036 - 2014 - The 3D Elevation Program: summary for North Dakota","interactions":[],"lastModifiedDate":"2016-08-17T15:43:54","indexId":"fs20143036","displayToPublicDate":"2014-04-17T14:05:37","publicationYear":"2014","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":"2014-3036","title":"The 3D Elevation Program: summary for North Dakota","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of North Dakota, elevation data are critical for agriculture and precision farming, natural resources conservation, water supply and quality, infrastructure and construction management, flood risk management, geologic resource assessment and hazard mitigation, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.
\nThe National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 ifsar data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios.The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey (USGS), the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation’s natural and constructed features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143036","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for North Dakota: U.S. Geological Survey Fact Sheet 2014-3036, 2 p., https://doi.org/10.3133/fs20143036.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052820","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":286405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143036.jpg"},{"id":286403,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3036/"},{"id":286404,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3036/pdf/fs2014-3036.pdf","text":"Report","size":"277 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"North 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Dakota\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5350e9d4e4b05569d8055733","contributors":{"authors":[{"text":"Carswell, William J. Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":492759,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70067519,"text":"ofr20131299 - 2014 - The presence and distribution of polycyclic aromatic hydrocarbons and inorganic elements in water and lakebed materials and the potential for bioconcentration in biota at established sampling sites on Lake Powell, Utah and Arizona","interactions":[],"lastModifiedDate":"2014-04-17T12:50:59","indexId":"ofr20131299","displayToPublicDate":"2014-04-17T12:39:00","publicationYear":"2014","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":"2013-1299","title":"The presence and distribution of polycyclic aromatic hydrocarbons and inorganic elements in water and lakebed materials and the potential for bioconcentration in biota at established sampling sites on Lake Powell, Utah and Arizona","docAbstract":"The National Park Service is responsible for monitoring the effects of visitor use on the quality of water, lakebed material (bottom sediments), and biota, in Lake Powell, Utah and Arizona. A sampling program was begun in 2010 to assess the presence, distribution, and concentrations of organic and inorganic compounds in the water column and bottom sediment. In response to an Environmental Impact Statement regarding personal watercraft and as a continuation from previous studies by the U.S. Geological Survey and the National Park Service, Glen Canyon National Recreation Area, water samples were collected and analyzed for polycyclic aromatic hydrocarbons (PAHs) using semipermeable membrane devices and inorganic elements using a fixed-bottle sampler deployed at established monitoring sites during 2010 and 2011. Lakebed material samples were also analyzed for polycyclic aromatic hydrocarbons and inorganic elements, some of which could be harmful to aquatic biota if present at concentrations above established aquatic life criteria.
\nOf the 44 PAH compounds analyzed, 26 individual compounds were detected above the censoring limit in the water column by semipermeable membrane devices. The highest number of compounds detected were at Lone Rock Beach, Wahweap Marina, Rainbow Bridge National Monument, and Antelope Marina which are all located in the southern part of Lake Powell where visitation and boat use is high. Because PAHs can remain near their source, the potential for bioconcentration is highest near these sites. The PAH compound found in the highest concentration was phenol (5,902 nanograms per liter), which is included in the U.S. Environmental Protection Agency’s priority pollutants list.
\nThe dissolved inorganic chemistry of water samples measured at the sampling sites in Lake Powell defined three different patterns of elements: (1) concentrations were similar between sites in the upper part of the lake near Farley Canyon downstream to Halls Crossing Marina, a distance of about 36 lake miles, (2) concentrations varied depending on the element between Halls Crossing Marina downstream to the mouth of the Escalante River, a distance of about 33 lake miles, and (3) concentrations were similar between sites from below the mouth of the Escalante River to Glen Canyon Dam, a distance of about 68 lake miles.
\nAnalysis of lakebed bottom sediment material samples detected PAH compounds at all sampling sites except at Halls Crossing Marina, Stanton Creek, and Forgotten Canyon. Twenty-four of 44 PAHs analyzed in lakebed material were detected above the reporting limit. Perylene was the most prevalent compound detected above the reporting limit in lakebed material and was detected at three sampling sites. Concentrations of perylene ranged from an estimate of 24.0 to 47.9 micrograms per kilogram (μg/kg). Fluoranthene had the highest concentration of any PAH and was detected at the Wahweap Marina with a concentration of 565 μg/kg. The highest sum of concentrations for all compounds found in lakebed material samples at one site was at the Wahweap Marina, which had concentrations five times higher than the next highest site.
\nThe three major tributaries to Lake Powell—the Colorado, Escalante, and San Juan Rivers—all showed elevated concentrations of inorganic elements in their delta sediments for most elements relative to the majority of the sediment samples taken from the lake itself. However, there were four lake sites that had concentrations for most inorganic elements that equaled or exceeded those of the tributaries. Two of these sites were at the northeast part of the lake, nearest to the Colorado River as it enters Lake Powell (Farley Canyon and Blue Notch Canyon), one was at the Escalante River below 50-Mile Canyon, and other was at Antelope Marina.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131299","usgsCitation":"Schonauer, K.T., Hart, R.J., and Antweiler, R.C., 2014, The presence and distribution of polycyclic aromatic hydrocarbons and inorganic elements in water and lakebed materials and the potential for bioconcentration in biota at established sampling sites on Lake Powell, Utah and Arizona: U.S. Geological Survey Open-File Report 2013-1299, Report: vii, 27 p.; Appendixes A-K, https://doi.org/10.3133/ofr20131299.","productDescription":"Report: vii, 27 p.; Appendixes A-K","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-037559","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":286392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131299.jpg"},{"id":286389,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1299/"},{"id":286390,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1299/pdf/ofr2013-1299.pdf"},{"id":286391,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1299/downloads/ofr2013-1299_appendixes.zip"}],"projection":"Universal Transverse Mercator projection","country":"United States","state":"Arizona;Utah","otherGeospatial":"Glen Canyon National Recreation Area;Lake Powell","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.7224,36.7988 ], [ -111.7224,37.999 ], [ -110.1428,37.999 ], [ -110.1428,36.7988 ], [ -111.7224,36.7988 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5350e9d4e4b05569d8055737","contributors":{"authors":[{"text":"Schonauer, Kurt T. schonaue@usgs.gov","contributorId":800,"corporation":false,"usgs":true,"family":"Schonauer","given":"Kurt","email":"schonaue@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":487993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Robert J. bhart@usgs.gov","contributorId":598,"corporation":false,"usgs":true,"family":"Hart","given":"Robert","email":"bhart@usgs.gov","middleInitial":"J.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Antweiler, Ronald C. 0000-0001-5652-6034 antweil@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-6034","contributorId":1481,"corporation":false,"usgs":true,"family":"Antweiler","given":"Ronald","email":"antweil@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":487994,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70059026,"text":"sir20135099 - 2014 - Geologic sources and concentrations of selenium in the West-Central Denver Basin, including the Toll Gate Creek watershed, Aurora, Colorado, 2003-2007","interactions":[],"lastModifiedDate":"2014-04-16T16:01:29","indexId":"sir20135099","displayToPublicDate":"2014-04-16T15:56:00","publicationYear":"2014","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":"2013-5099","title":"Geologic sources and concentrations of selenium in the West-Central Denver Basin, including the Toll Gate Creek watershed, Aurora, Colorado, 2003-2007","docAbstract":"Toll Gate Creek, in the west-central part of the Denver Basin, is a perennial stream in which concentrations of dissolved selenium have consistently exceeded the Colorado aquatic-life standard of 4.6 micrograms per liter. Recent studies of selenium in Toll Gate Creek identified the Denver lignite zone of the non-marine Cretaceous to Tertiary-aged (Paleocene) Denver Formation underlying the watershed as the geologic source of dissolved selenium to shallow ground-water and surface water. Previous work led to this study by the U.S. Geological Survey, in cooperation with the City of Aurora Utilities Department, which investigated geologic sources of selenium and selenium concentrations in the watershed. This report documents the occurrence of selenium-bearing rocks and groundwater within the Cretaceous- to Tertiary-aged Denver Formation in the west-central part of the Denver Basin, including the Toll Gate Creek watershed. The report presents background information on geochemical processes controlling selenium concentrations in the aquatic environment and possible geologic sources of selenium; the hydrogeologic setting of the watershed; selenium results from groundwater-sampling programs; and chemical analyses of solids samples as evidence that weathering of the Denver Formation is a geologic source of selenium to groundwater and surface water in the west-central part of the Denver Basin, including Toll Gate Creek.
\nAnalyses of water samples collected from 61 water-table wells in 2003 and from 19 water-table wells in 2007 indicate dissolved selenium concentrations in groundwater in the west-central Denver Basin frequently exceeded the Colorado aquatic-life standard and in some locations exceeded the primary drinking-water standard of 50 micrograms per liter. The greatest selenium concentrations were associated with oxidized groundwater samples from wells completed in bedrock materials. Selenium analysis of geologic core samples indicates that total selenium concentrations were greatest in samples containing indications of reducing conditions and organic matter (dark gray to black claystones and lignite horizons).
\nThe Toll Gate Creek watershed is situated in a unique hydrogeologic setting in the west-central part of the Denver Basin such that weathering of Cretaceous- to Tertiary-aged, non-marine, selenium-bearing rocks releases selenium to groundwater and surface water under present-day semi-arid environmental conditions. The Denver Formation contains several known and suspected geologic sources of selenium including: (1) lignite deposits; (2) tonstein partings; (3) organic-rich bentonite claystones; (4) salts formed as secondary weathering products; and possibly (5) the Cretaceous-Tertiary boundary. Organically complexed selenium and/or selenium-bearing pyrite in the enclosing claystones are likely the primary mineral sources of selenium in the Denver Formation, and correlations between concentration of dissolved selenium and dissolved organic carbon in groundwater indicate weathering and dissolution of organically complexed selenium from organic-rich claystone is a primary process mobilizing selenium. Secondary salts accumulated along fractures and bedding planes in the weathered zone are another potential geologic source of selenium, although their composition was not specifically addressed by the solids analyses. Results from this and previous work indicate that shallow groundwater and streams similarly positioned over Denver Formation claystone units at other locations in the Denver Basin also may contain concentrations of dissolved selenium greater than the Colorado aquatic-life standard or the drinking- water standard.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135099","issn":"2328-0328","collaboration":"Prepared in cooperation with the City of Aurora, Colorado, Utilities Department","usgsCitation":"Paschke, S.S., Walton-Day, K., Beck, J., Webbers, A., and Dupree, J.A., 2014, Geologic sources and concentrations of selenium in the West-Central Denver Basin, including the Toll Gate Creek watershed, Aurora, Colorado, 2003-2007: U.S. Geological Survey Scientific Investigations Report 2013-5099, iv, 30 p., https://doi.org/10.3133/sir20135099.","productDescription":"iv, 30 p.","numberOfPages":"30","onlineOnly":"Y","temporalStart":"2003-01-01","temporalEnd":"2007-12-31","ipdsId":"IP-041389","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":286385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135099.jpg"},{"id":286383,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5099/"},{"id":286384,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5099/pdf/sir2013-5099.pdf"}],"country":"United States","state":"Colorado","otherGeospatial":"Denver Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.0,38.0 ], [ -108.0,40.0 ], [ -104.0,40.0 ], [ -104.0,38.0 ], [ -108.0,38.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517042e4b05569d805a22b","contributors":{"authors":[{"text":"Paschke, Suzanne S.","contributorId":14072,"corporation":false,"usgs":true,"family":"Paschke","given":"Suzanne","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":487435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":1245,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":487433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beck, Jennifer A.","contributorId":53922,"corporation":false,"usgs":true,"family":"Beck","given":"Jennifer A.","affiliations":[],"preferred":false,"id":487436,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webbers, Ank","contributorId":74782,"corporation":false,"usgs":true,"family":"Webbers","given":"Ank","email":"","affiliations":[],"preferred":false,"id":487437,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dupree, Jean A. dupree@usgs.gov","contributorId":2563,"corporation":false,"usgs":true,"family":"Dupree","given":"Jean","email":"dupree@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":487434,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70099362,"text":"sir20145052 - 2014 - Simulation of groundwater and surface-water resources of the Santa Rosa Plain watershed, Sonoma County, California","interactions":[],"lastModifiedDate":"2014-04-16T14:32:06","indexId":"sir20145052","displayToPublicDate":"2014-04-16T06:13:00","publicationYear":"2014","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":"2014-5052","title":"Simulation of groundwater and surface-water resources of the Santa Rosa Plain watershed, Sonoma County, California","docAbstract":"Water managers in the Santa Rosa Plain face the challenge of meeting increasing water demand with a combination of Russian River water, which has uncertainties in its future availability; local groundwater resources; and ongoing and expanding recycled water and water from other conservation programs. To address this challenge, the U.S. Geological Survey, in cooperation with the Sonoma County Water Agency, the cities of Cotati, Rohnert Park, Santa Rosa, and Sebastopol, the town of Windsor, the California American Water Company, and the County of Sonoma, undertook development of a fully coupled groundwater and surface-water model to better understand and to help manage the hydrologic resources in the Santa Rosa Plain watershed.
\nThe purpose of this report is to (1) describe the construction and calibration of the fully coupled groundwater and surface-water flow model for the Santa Rosa Plain watershed, referred to as the Santa Rosa Plain hydrologic model; (2) present results from simulation of the Santa Rosa Plain hydrologic model, including water budgets, recharge distributions, streamflow, and the effect of pumping on water-budget components; and (3) present the results from using the model to evaluate the potential hydrologic effects of climate change and variability without pumpage for water years 2011-99 and with projected pumpage for water years 2011-40.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145052","collaboration":"Prepared in cooperation with Sonoma County, Sonoma County Water Agency, City of Santa Rosa, City of Rohnert Park, City of Sebastopol, Town of Windsor, California American Water","usgsCitation":"Woolfenden, L.R., and Nishikawa, T., 2014, Simulation of groundwater and surface-water resources of the Santa Rosa Plain watershed, Sonoma County, California: U.S. Geological Survey Scientific Investigations Report 2014-5052, xxx, 258 p., https://doi.org/10.3133/sir20145052.","productDescription":"xxx, 258 p.","onlineOnly":"Y","ipdsId":"IP-044152","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":286377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145052.jpg"},{"id":286373,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5052/"},{"id":286376,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5052/pdf/sir2014-5052.pdf"}],"scale":"250000","projection":"2003 State Plane Projection","country":"United States","state":"California","county":"Sonoma County","otherGeospatial":"Santa Rosa Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.5414,38.1106 ], [ -123.5414,38.8529 ], [ -122.3497,38.8529 ], [ -122.3497,38.1106 ], [ -123.5414,38.1106 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517061e4b05569d805a3a9","contributors":{"authors":[{"text":"Woolfenden, Linda R. 0000-0003-3500-4709 lrwoolfe@usgs.gov","orcid":"https://orcid.org/0000-0003-3500-4709","contributorId":1476,"corporation":false,"usgs":true,"family":"Woolfenden","given":"Linda","email":"lrwoolfe@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nishikawa, Tracy 0000-0002-7348-3838 tnish@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-3838","contributorId":1515,"corporation":false,"usgs":true,"family":"Nishikawa","given":"Tracy","email":"tnish@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491971,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70101829,"text":"70101829 - 2014 - Predicting the effects of climate change on ecosystems and wildlife habitat in northwest Alaska","interactions":[],"lastModifiedDate":"2024-10-09T15:39:27.836914","indexId":"70101829","displayToPublicDate":"2014-04-15T09:51:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the effects of climate change on ecosystems and wildlife habitat in northwest Alaska","docAbstract":"
We used a modeling framework and a recent ecological land classification and land cover map to predict how ecosystems and wildlife habitat in northwest Alaska might change in response to increasing temperature. Our results suggest modest increases in forest and tall shrub ecotypes in Northwest Alaska by the end of this century thereby increasing habitat for forest-dwelling and shrub-using birds and mammals. Conversely, we predict declines in several more open low shrub, tussock, and meadow ecotypes favored by many waterbird, shorebird, and small mammal species.
","language":"English","publisher":"National Park Service","usgsCitation":"DeGange, A.R., Marcot, B., Lawler, J., Jorgenson, T., and Winfree, R., 2014, Predicting the effects of climate change on ecosystems and wildlife habitat in northwest Alaska: Alaska Park Science, v. 12, no. 2, p. 66-73.","productDescription":"8 p.","startPage":"66","endPage":"73","ipdsId":"IP-046323","costCenters":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"links":[{"id":286353,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287956,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/aps-v12-i2-c12.htm"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.03,64.98 ], [ -166.03,67.03 ], [ -149.79,67.03 ], [ -149.79,64.98 ], [ -166.03,64.98 ] ] ] } } ] }","volume":"12","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"534e46d3e4b0cdc4f9717045","contributors":{"authors":[{"text":"DeGange, Anthony R. tdegange@usgs.gov","contributorId":139765,"corporation":false,"usgs":true,"family":"DeGange","given":"Anthony","email":"tdegange@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":492783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marcot, Bruce G.","contributorId":58015,"corporation":false,"usgs":true,"family":"Marcot","given":"Bruce G.","affiliations":[],"preferred":false,"id":492787,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawler, James","contributorId":54510,"corporation":false,"usgs":true,"family":"Lawler","given":"James","affiliations":[],"preferred":false,"id":492786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jorgenson, Torre","contributorId":45380,"corporation":false,"usgs":true,"family":"Jorgenson","given":"Torre","affiliations":[],"preferred":false,"id":492785,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winfree, Robert","contributorId":33619,"corporation":false,"usgs":true,"family":"Winfree","given":"Robert","email":"","affiliations":[],"preferred":false,"id":492784,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70101828,"text":"70101828 - 2014 - The interactive effects of climate change, riparian management, and a non-native predators on stream-rearing salmon","interactions":[],"lastModifiedDate":"2017-11-24T17:40:46","indexId":"70101828","displayToPublicDate":"2014-04-15T09:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"The interactive effects of climate change, riparian management, and a non-native predators on stream-rearing salmon","docAbstract":"Predicting how climate change is likely to interact with myriad other stressors that threaten species of conservation concern is an essential challenge in aquatic ecosystems. This study provides a framework to accomplish this task in salmon-bearing streams of the northwestern United States, where land-use related reductions in riparian shading have caused changes in stream thermal regimes, and additional warming from projected climate change may result in significant losses of coldwater fish habitat over the next century. Predatory non-native smallmouth bass have also been introduced into many northwestern streams and their range is likely to expand as streams warm, presenting an additional challenge to the persistence of threatened Pacific salmon. The goal of this work was to forecast the interactive effects of climate change, riparian management, and non-native species on stream-rearing salmon, and to evaluate the capacity of restoration to mitigate these effects. We intersected downscaled global climate forecasts with a local-scale water temperature model to predict mid- and end-of-century temperatures in streams in the Columbia River basin; we compared one stream that is thermally impaired due to the loss of riparian vegetation and another that is cooler and has a largely intact riparian corridor. Using the forecasted stream temperatures in conjunction with fish-habitat models, we predicted how stream-rearing Chinook salmon and bass distributions would change as each stream warmed. In the highly modified stream, end-of-century warming may cause near total loss of Chinook salmon rearing habitat and a complete invasion of the upper watershed by bass. In the less modified stream, bass were thermally restricted from the upstream-most areas. In both systems, temperature increases resulted in higher predicted spatial overlap between stream-rearing Chinook salmon and potentially predatory bass in the early summer (2-4-fold increase) and greater abundance of bass. We found that riparian restoration could prevent the extirpation of Chinook salmon from the more altered stream, and could also restrict bass from occupying the upper 31 km of salmon rearing habitat. The proposed methodology and model predictions are critical for prioritizing climate-change adaptation strategies before salmonids are exposed to both warmer water and greater predation risk by non-native species.","language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-0753.1","usgsCitation":"Lawrence, D.J., Stewart-Koster, B., Olden, J., Ruesch, A.S., Torgersen, C., Lawler, J.J., Butcher, D.P., and Crown, J.K., 2014, The interactive effects of climate change, riparian management, and a non-native predators on stream-rearing salmon: Ecological Applications, v. 24, no. 4, p. 895-912, https://doi.org/10.1890/13-0753.1.","productDescription":"18 p.","startPage":"895","endPage":"912","ipdsId":"IP-049655","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473050,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1890/13-0753.1","text":"External Repository"},{"id":286351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Columbia River Basin, John Day River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.3987,44.3985 ], [ -119.3987,45.4026 ], [ -117.9865,45.4026 ], [ -117.9865,44.3985 ], [ -119.3987,44.3985 ] ] ] } } ] }","volume":"24","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"534e46d3e4b0cdc4f9717049","contributors":{"authors":[{"text":"Lawrence, David J.","contributorId":34374,"corporation":false,"usgs":true,"family":"Lawrence","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":492776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart-Koster, Ben","contributorId":77841,"corporation":false,"usgs":true,"family":"Stewart-Koster","given":"Ben","email":"","affiliations":[],"preferred":false,"id":492781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olden, Julian D.","contributorId":66951,"corporation":false,"usgs":true,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":492779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruesch, Aaron S.","contributorId":26559,"corporation":false,"usgs":true,"family":"Ruesch","given":"Aaron","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":492775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torgersen, Christian E. 0000-0001-8325-2737","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":48143,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian E.","affiliations":[],"preferred":false,"id":492778,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawler, Joshua J.","contributorId":73327,"corporation":false,"usgs":false,"family":"Lawler","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":492780,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Butcher, Don P.","contributorId":80183,"corporation":false,"usgs":true,"family":"Butcher","given":"Don","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":492782,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crown, Julia K.","contributorId":40122,"corporation":false,"usgs":true,"family":"Crown","given":"Julia","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":492777,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70157147,"text":"70157147 - 2014 - Late Holocene vegetation, climate, and land-use impacts on carbon dynamics in the Florida Everglades","interactions":[],"lastModifiedDate":"2022-11-08T11:56:50.651293","indexId":"70157147","displayToPublicDate":"2014-04-15T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Late Holocene vegetation, climate, and land-use impacts on carbon dynamics in the Florida Everglades","docAbstract":"Tropical and subtropical peatlands are considered a significant carbon sink. The Florida Everglades includes 6000-km2 of peat-accumulating wetland; however, detailed carbon dynamics from different environments within the Everglades have not been extensively studied or compared. Here we present carbon accumulation rates from 13 cores and 4 different environments, including sawgrass ridges and sloughs, tree islands, and marl prairies, whose hydroperiods and vegetation communities differ. We find that the lowest rates of C accumulation occur in sloughs in the southern Everglades. The highest rates are found where hydroperiods are generally shorter, including near-tails of tree islands and drier ridges. Long-term average rates of 100 to >200 g C m−2 yr−1 are as high, and in some cases, higher than rates recorded from the tropics and 10–20 times higher than boreal averages. C accumulation rates were impacted by both the Medieval Climate Anomaly and the Little Ice Age, but the largest impacts to C accumulation rates over the Holocene record have been the anthropogenic changes associated with expansion of agriculture and construction of canals and levees to control movement of surface water. Water management practices in the 20th century have altered the natural hydroperiods and fire regimes of the Everglades. The Florida Everglades as a whole has acted as a significant carbon sink over the mid- to late-Holocene, but reduction of the spatial extent of the original wetland area, as well as the alteration of natural hydrology in the late 19th and 20th centuries, have significantly reduced the carbon sink capacity of this subtropical wetland.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2014.02.010","usgsCitation":"Jones, M.C., Bernhardt, C.E., and Willard, D.A., 2014, Late Holocene vegetation, climate, and land-use impacts on carbon dynamics in the Florida Everglades: Quaternary Science Reviews, v. 90, p. 90-105, https://doi.org/10.1016/j.quascirev.2014.02.010.","productDescription":"16 p.","startPage":"90","endPage":"105","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053289","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":308320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.0943368389809,\n 25.087571683298293\n ],\n [\n -80.7268386805381,\n 25.02642462707145\n ],\n [\n -80.53933962010848,\n 25.029822485930083\n ],\n [\n -80.44559008989326,\n 25.016230486056457\n ],\n [\n -80.1643414992484,\n 25.440266192853315\n ],\n [\n -80.17184146166566,\n 25.58917370312868\n ],\n [\n -80.56933946977713,\n 25.399623031078093\n ],\n [\n -80.50933977043941,\n 25.59593783416375\n ],\n [\n -80.47183995835347,\n 25.677077550112145\n ],\n [\n -80.44184010868483,\n 25.808811787918998\n ],\n [\n -80.4268401838503,\n 26.088681564064487\n ],\n [\n -80.32559069121822,\n 26.115621760313346\n ],\n [\n -80.28434089792343,\n 26.196405080441124\n ],\n [\n -80.28434089792343,\n 26.324197432761437\n ],\n [\n -80.21684123616888,\n 26.327558489255296\n ],\n [\n -80.2093412737516,\n 26.60283232560471\n ],\n [\n -80.09309185628499,\n 27.027865180596862\n ],\n [\n -80.11934172474521,\n 27.10133056874082\n ],\n [\n -80.31809072880094,\n 27.031205560276817\n ],\n [\n -80.69683883086944,\n 26.80048672774501\n ],\n [\n -80.6668389812008,\n 26.746919439357086\n ],\n [\n -80.7268386805381,\n 26.673223193776607\n ],\n [\n -80.91058775975972,\n 26.723475808169553\n ],\n [\n -80.90683777855085,\n 26.478704924579233\n ],\n [\n -80.99683732755723,\n 26.478704924579233\n ],\n [\n -80.99683732755723,\n 26.270407267820005\n ],\n [\n -81.37183544841733,\n 26.277132402931883\n ],\n [\n -81.39433533566871,\n 26.23341206167862\n ],\n [\n -81.61183424576784,\n 26.223320415900375\n ],\n [\n -81.8180832122404,\n 26.085313603228755\n ],\n [\n -81.73933360686016,\n 25.8864326566259\n ],\n [\n -81.5968343209333,\n 25.73451812105688\n ],\n [\n -81.35308554237437,\n 25.697353857960323\n ],\n [\n -81.17683642557003,\n 25.38607226656724\n ],\n [\n -81.19933631282183,\n 25.209774132927706\n ],\n [\n -81.0943368389809,\n 25.087571683298293\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"90","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56012a71e4b03bc34f544411","contributors":{"authors":[{"text":"Jones, Miriam C. 0000-0002-6650-7619 miriamjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":4056,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"miriamjones@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":571932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernhardt, Christopher E. 0000-0003-0082-4731 cbernhardt@usgs.gov","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":2131,"corporation":false,"usgs":true,"family":"Bernhardt","given":"Christopher","email":"cbernhardt@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":571933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"preferred":true,"id":571934,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70100253,"text":"ds831 - 2014 - Flow monitoring along the western Tamiami Trail between County Road 92 and State Road 29 in support of the Comprehensive Everglades Restoration Plan, 2007-2010","interactions":[],"lastModifiedDate":"2014-04-14T14:59:09","indexId":"ds831","displayToPublicDate":"2014-04-14T14:42:00","publicationYear":"2014","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":"831","title":"Flow monitoring along the western Tamiami Trail between County Road 92 and State Road 29 in support of the Comprehensive Everglades Restoration Plan, 2007-2010","docAbstract":"The construction of U.S. Highway 41 (Tamiami Trail), the Southern Golden Gate Estates development, and the Barron River Canal has altered the flow of freshwater to the Ten Thousand Islands estuary of Southwest Florida. Two restoration projects, the Picayune Strand Restoration Project and the Tamiami Trail Culverts Project, both associated with the Comprehensive Everglades Restoration Plan, were initiated to address this issue. Quantifying the flow of freshwater to the estuary is essential to assessing the effectiveness of these projects.
\nThe U.S. Geological Survey conducted a study between March 2006 and September 2010 to quantify the freshwater flowing under theTamiami Trail between County Road 92 and State Road 29 in southwest Florida, excluding the Faka Union Canal (which is monitored by South Florida Water Management District). The study period was after the completion of the Tamiami Trail Culverts Project and prior to most of the construction related to the Picayune Restoration Project. The section of the Tamiami Trail that was studied contains too many structures (35 bridges and 16 culverts) to cost-effectively measure each structure on a continuous basis, so the area was divided into seven subbasins. One bridge within each of the subbasins was instrumented with an acoustic Doppler velocity meter. The index velocity method was used to compute discharge at the seven instrumented bridges. Periodic discharge measurements were made at all structures, using acoustic Doppler current profilers at bridges and acoustic Doppler velocity meters at culverts. Continuous daily mean values of discharge for the uninstrumented structures were calculated on the basis of relations between the measured discharge at the uninstrumented stations and the discharge and stage at the instrumented bridge. Estimates of daily mean discharge are available beginning in 2006 or 2007 through September 2010 for all structures. Subbasin comparison is limited to water years 2008–2010.
\nThe Faka Union Canal contributed more than half (on average 60 percent) of the flow under the Tamiami Trail between State Road 29 and County Road 92 during water years 2008–2010. During water years 2008–2010, an average 9 percent of the flow through the study area came from west of the Faka Union Canal and an average 31 percent came from east of the Faka Union Canal. Flow data provided by this study serve as baseline information about the seasonal and spatial distribution of freshwater flow under the Tamiami Trail between County Road 92 and State Road 29, and study results provide data to evaluate restoration efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds831","issn":"2327-638X","collaboration":"Prepared as part of the Greater Everglades Priority Ecosystems Science initiative and in cooperation with the National Park Service","usgsCitation":"Booth, A., Soderqvist, L.E., and Berry, M.C., 2014, Flow monitoring along the western Tamiami Trail between County Road 92 and State Road 29 in support of the Comprehensive Everglades Restoration Plan, 2007-2010: U.S. Geological Survey Data Series 831, Report: v, 24 p.; 3 Appendixes, https://doi.org/10.3133/ds831.","productDescription":"Report: v, 24 p.; 3 Appendixes","numberOfPages":"34","onlineOnly":"Y","temporalStart":"2007-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-052058","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":286341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds831.jpg"},{"id":286337,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0831/pdf/ds831.pdf"},{"id":286338,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0831/appendix/ds831_app1.xlsx"},{"id":286339,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0831/appendix/ds831_app2.xlsx"},{"id":286340,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0831/appendix/ds831_app3.xlsx"},{"id":286336,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0831/"}],"country":"United States","state":"Florida","otherGeospatial":"Tamiami Trail","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.906857,25.831031 ], [ -81.906857,26.413366 ], [ -81.449066,26.413366 ], [ -81.449066,25.831031 ], [ -81.906857,25.831031 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351703ce4b05569d805a208","contributors":{"authors":[{"text":"Booth, Amanda 0000-0002-2666-2366 acbooth@usgs.gov","orcid":"https://orcid.org/0000-0002-2666-2366","contributorId":5432,"corporation":false,"usgs":true,"family":"Booth","given":"Amanda","email":"acbooth@usgs.gov","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soderqvist, Lars E.","contributorId":92358,"corporation":false,"usgs":true,"family":"Soderqvist","given":"Lars","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":492126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berry, Marcia C. mcberry@usgs.gov","contributorId":5521,"corporation":false,"usgs":true,"family":"Berry","given":"Marcia","email":"mcberry@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":492125,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70049062,"text":"fs20133102 - 2014 - Water resources of St. Mary Parish, Louisiana","interactions":[],"lastModifiedDate":"2014-04-14T14:30:57","indexId":"fs20133102","displayToPublicDate":"2014-04-14T14:25:00","publicationYear":"2014","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":"2013-3102","title":"Water resources of St. Mary Parish, Louisiana","docAbstract":"Information concerning the availability, use, and quality of water in St. Mary Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for management of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133102","issn":"2327-6932","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Prakken, L., White, V.E., and Lovelace, J.K., 2014, Water resources of St. Mary Parish, Louisiana: U.S. Geological Survey Fact Sheet 2013-3102, 6 p., https://doi.org/10.3133/fs20133102.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-051029","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":286334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133102.jpg"},{"id":286332,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3102/"},{"id":286333,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3102/pdf/fs2013-3102.pdf"}],"projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","otherGeospatial":"St. Mary Parish","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.0,29.333333 ], [ -92.0,30.0 ], [ -91.0,30.0 ], [ -91.0,29.333333 ], [ -92.0,29.333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351706ee4b05569d805a448","contributors":{"authors":[{"text":"Prakken, Lawrence B.","contributorId":73978,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","affiliations":[],"preferred":false,"id":486092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486091,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovelace, John K. 0000-0002-8532-2599 jlovelac@usgs.gov","orcid":"https://orcid.org/0000-0002-8532-2599","contributorId":999,"corporation":false,"usgs":true,"family":"Lovelace","given":"John","email":"jlovelac@usgs.gov","middleInitial":"K.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486090,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70101724,"text":"70101724 - 2014 - Interactions between waves, sediment, and turbulence on a shallow estuarine mudflat","interactions":[],"lastModifiedDate":"2014-04-15T09:49:07","indexId":"70101724","displayToPublicDate":"2014-04-14T13:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Interactions between waves, sediment, and turbulence on a shallow estuarine mudflat","docAbstract":"Measurements were collected on a shallow estuarine mudflat in northern San Francisco Bay to examine the physical processes controlling waves, turbulence, sediment resuspension, and their interactions. Tides alone forced weak to moderate currents of 10–30 cm s-1 in depths of 0–3 m, and maintained a background suspension of 30–50 mg L21 of fine sediment. In the presence of wind waves, bottom orbital velocities spanned 20–30 cm s-1, suspended-sediment concentrations (SSC) at 15 and 30 cm above the bed (cmab) increased by 1–2 orders of magnitude, and vertical gradients in SSC were strong enough to produce turbulence-limiting stratification, with gradient Richardson numbers exceeding 0.25. Simultaneously, turbulent\nstresses (decomposed from wave motions) increased by an order of magnitude. The apparent contradiction of energetic turbulence in the presence of strong stratification was reconciled by considering the turbulent kinetic energy (TKE) budget: in general, dissipation and buoyancy flux were balanced by local shear production, and each of these terms increased during wave events. The classic wave-current boundary layer model represented\nthe observations qualitatively, but not quantitatively since the velocity profile could not be approximated as logarithmic. Rather, the mean shear was elevated by the Stokes drift return flow and wind-generated surface\nstress, which diffused sediment upward and limited stratification. Our findings highlight a pathway for waves to supply energy to both the production and destruction of turbulence, and demonstrate that in such shallow depths, TKE and SSC can be elevated over more of the water column than predicted by traditional models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research C: Oceans","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013JC009477","usgsCitation":"MacVean, L.J., and Lacy, J.R., 2014, Interactions between waves, sediment, and turbulence on a shallow estuarine mudflat: Journal of Geophysical Research C: Oceans, v. 119, no. 3, p. 1534-1553, https://doi.org/10.1002/2013JC009477.","productDescription":"20 p.","startPage":"1534","endPage":"1553","ipdsId":"IP-051974","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jc009477","text":"Publisher Index Page"},{"id":286329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286308,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013JC009477"}],"country":"United States","state":"California","otherGeospatial":"San Pablo Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.510483,37.990377 ], [ -122.510483,38.163814 ], [ -122.244364,38.163814 ], [ -122.244364,37.990377 ], [ -122.510483,37.990377 ] ] ] } } ] }","volume":"119","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-05","publicationStatus":"PW","scienceBaseUri":"53517050e4b05569d805a2f0","contributors":{"authors":[{"text":"MacVean, Lissa J. lmacvean@usgs.gov","contributorId":4698,"corporation":false,"usgs":true,"family":"MacVean","given":"Lissa","email":"lmacvean@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":492737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lacy, Jessica R. 0000-0002-2797-6172 jlacy@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":3158,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"jlacy@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":492736,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70101780,"text":"70101780 - 2014 - Direct measurement of sub-surface mass change using the variable-baseline gravity gradient method","interactions":[],"lastModifiedDate":"2019-12-19T07:11:44","indexId":"70101780","displayToPublicDate":"2014-04-14T13:34:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Direct measurement of sub-surface mass change using the variable-baseline gravity gradient method","docAbstract":"Time-lapse gravity data provide a direct, non-destructive method to monitor mass changes at scales from cm to km. But, the effectively infinite spatial sensitivity of gravity measurements can make it difficult to isolate the signal of interest. The variable-baseline gravity gradient method, based on the difference of measurements between two gravimeters, is an alternative to the conventional approach of individually modeling all sources of mass and elevation change. This approach can improve the signal-to-noise ratio for many applications by removing the contributions of Earth tides, loading, and other signals that have the same effect on both gravimeters. At the same time, this approach can focus the support volume within a relatively small user-defined region of the subsurface. The method is demonstrated using paired superconducting gravimeters to make for the first time a large-scale, non-invasive measurement of infiltration wetting front velocity and change in water content above the wetting front.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014GL059673","usgsCitation":"Kennedy, J., Ferré, T., Guntner, A., Abe, M., and Creutzfeldt, B., 2014, Direct measurement of sub-surface mass change using the variable-baseline gravity gradient method: Geophysical Research Letters, v. 41, no. 8, p. 2827-2834, https://doi.org/10.1002/2014GL059673.","productDescription":"8 p.","startPage":"2827","endPage":"2834","numberOfPages":"8","ipdsId":"IP-055776","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":473053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gl059673","text":"Publisher Index Page"},{"id":286326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-04-28","publicationStatus":"PW","scienceBaseUri":"53517034e4b05569d805a1c7","contributors":{"authors":[{"text":"Kennedy, Jeffrey 0000-0002-3365-6589","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":101124,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","affiliations":[],"preferred":false,"id":492757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferré, Ty P.A.","contributorId":35647,"corporation":false,"usgs":false,"family":"Ferré","given":"Ty P.A.","affiliations":[],"preferred":false,"id":492755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntner, Andreas","contributorId":19476,"corporation":false,"usgs":true,"family":"Guntner","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":492754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abe, Maiko","contributorId":8381,"corporation":false,"usgs":true,"family":"Abe","given":"Maiko","email":"","affiliations":[],"preferred":false,"id":492753,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Creutzfeldt, Benjamin","contributorId":60128,"corporation":false,"usgs":true,"family":"Creutzfeldt","given":"Benjamin","affiliations":[],"preferred":false,"id":492756,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70101265,"text":"gip156 - 2014 - Coastal storm monitoring in Virginia","interactions":[],"lastModifiedDate":"2014-04-14T13:19:00","indexId":"gip156","displayToPublicDate":"2014-04-14T13:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"156","title":"Coastal storm monitoring in Virginia","docAbstract":"Coastal communities in Virginia are prone to flooding, particularly during hurricanes, nor’easters, and other coastal low-pressure systems. These weather systems affect public safety, personal and public property, and valuable infrastructure, such as transportation, water and sewer, and electric-supply networks.
\nLocal emergency managers, utility operators, and the public are tasked with making difficult decisions regarding evacuations, road closures, and post-storm recovery efforts as a result of coastal flooding. In coastal Virginia these decisions often are made on the basis of anecdotal knowledge from past events or predictions based on data from monitoring sites located far away from the affected area that may not reflect local conditions.
\nPreventing flood hazards, such as hurricane-induced storm surge, from becoming human disasters requires an understanding of the relative risks that flooding poses to specific communities. The risk to life and property can be very high if decisions about evacuations and road closures are made too late or not at all.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip156","issn":"2332-354X","usgsCitation":"Wicklein, S., and Bennett, M., 2014, Coastal storm monitoring in Virginia: U.S. Geological Survey General Information Product 156, 2 p., https://doi.org/10.3133/gip156.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-051451","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":286321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip156.jpg"},{"id":286319,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/0156/"},{"id":286320,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0156/pdf/gip156.pdf"}],"country":"United States","state":"Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.5231,36.5408 ], [ -77.5231,39.466 ], [ -75.2422,39.466 ], [ -75.2422,36.5408 ], [ -77.5231,36.5408 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351702ee4b05569d805a19c","contributors":{"authors":[{"text":"Wicklein, Shaun 0000-0003-4551-1237 smwickle@usgs.gov","orcid":"https://orcid.org/0000-0003-4551-1237","contributorId":3389,"corporation":false,"usgs":true,"family":"Wicklein","given":"Shaun","email":"smwickle@usgs.gov","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":492647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, Mark mrbennet@usgs.gov","contributorId":2147,"corporation":false,"usgs":true,"family":"Bennett","given":"Mark","email":"mrbennet@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492646,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70101772,"text":"70101772 - 2014 - Trends in precipitation, runoff, and evapotranspiration for rivers draining to the Gulf of Maine in the United States","interactions":[],"lastModifiedDate":"2019-09-06T08:32:09","indexId":"70101772","displayToPublicDate":"2014-04-14T12:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"Trends in precipitation, runoff, and evapotranspiration for rivers draining to the Gulf of Maine in the United States","docAbstract":"Climate warming is projected to result in increases in total annual precipitation in northeastern North America. The response of runoff to increases in precipitation is likely to be more complex because increasing evapotranspiration (ET) could counteract increasing precipitation. This study was conducted to examine these competing trends in the historical record for 22 rivers having >70 yr of runoff data. Annual (water year) average precipitation increased in all basins, with increases ranging from 0.9 to 3.12 mm yr−1. Runoff increased in all basins with increases ranging from 0.67 to 2.58 mm yr−1. The ET was calculated by using a water balance approach in which changes in terrestrial water storage were considered negligible. ET increased in 16 basins and decreased in 6 basins. Temporal trends in temperature, precipitation, runoff, and ET were also calculated for each basin over their respective periods of record for runoff and for the consistent period (1927–2011) for the area-weighted average of the nine largest non-nested basins. From 1927 through 2011, precipitation and runoff increased at average rates of 1.6 and 1.7 mm yr−1, respectively, and ET increased slightly at a rate of 0.18 mm yr−1. For the more recent period (1970–2011), there was a positive trend in ET of 1.9 mm yr−1. The lack of a more consistent increase in ET, compared with the increases in precipitation and runoff, for the full periods of record, was unexpected, but may be explained by various factors including decreasing wind speed, increasing cloudiness, decreasing vapor pressure deficit, and patterns of forest growth.","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JHM-D-13-018.1","usgsCitation":"Huntington, T.G., and Billmire, M., 2014, Trends in precipitation, runoff, and evapotranspiration for rivers draining to the Gulf of Maine in the United States: Journal of Hydrometeorology, v. 15, no. 2, p. 726-743, https://doi.org/10.1175/JHM-D-13-018.1.","productDescription":"18 p.","startPage":"726","endPage":"743","ipdsId":"IP-045940","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":473054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jhm-d-13-018.1","text":"Publisher Index Page"},{"id":286313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.5124,42.9561 ], [ -72.5124,47.4598 ], [ -66.9251,47.4598 ], [ -66.9251,42.9561 ], [ -72.5124,42.9561 ] ] ] } } ] }","volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-04-10","publicationStatus":"PW","scienceBaseUri":"5351706be4b05569d805a41f","contributors":{"authors":[{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Billmire, M.","contributorId":61339,"corporation":false,"usgs":true,"family":"Billmire","given":"M.","email":"","affiliations":[],"preferred":false,"id":492744,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70098431,"text":"ofr20141059 - 2014 - Spatial and stratigraphic distribution of water in oil shale of the Green River Formation using Fischer Assay, Piceance Basin, northwestern Colorado","interactions":[],"lastModifiedDate":"2014-04-14T11:29:07","indexId":"ofr20141059","displayToPublicDate":"2014-04-14T11:22:00","publicationYear":"2014","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":"2014-1059","title":"Spatial and stratigraphic distribution of water in oil shale of the Green River Formation using Fischer Assay, Piceance Basin, northwestern Colorado","docAbstract":"The spatial and stratigraphic distribution of water in oil shale of the Eocene Green River Formation in the Piceance Basin of northwestern Colorado was studied in detail using some 321,000 Fischer assay analyses in the U.S. Geological Survey oil-shale database. The oil-shale section was subdivided into 17 roughly time-stratigraphic intervals, and the distribution of water in each interval was assessed separately. This study was conducted in part to determine whether water produced during retorting of oil shale could provide a significant amount of the water needed for an oil-shale industry. Recent estimates of water requirements vary from 1 to 10 barrels of water per barrel of oil produced, depending on the type of retort process used. Sources of water in Green River oil shale include (1) free water within clay minerals; (2) water from the hydrated minerals nahcolite (NaHCO3), dawsonite (NaAl(OH)2CO3), and analcime (NaAlSi2O6.H20); and (3) minor water produced from the breakdown of organic matter in oil shale during retorting. The amounts represented by each of these sources vary both stratigraphically and areally within the basin. Clay is the most important source of water in the lower part of the oil-shale interval and in many basin-margin areas. Nahcolite and dawsonite are the dominant sources of water in the oil-shale and saline-mineral depocenter, and analcime is important in the upper part of the formation. Organic matter does not appear to be a major source of water. The ratio of water to oil generated with retorting is significantly less than 1:1 for most areas of the basin and for most stratigraphic intervals; thus water within oil shale can provide only a fraction of the water needed for an oil-shale industry.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141059","issn":"2331-1258","usgsCitation":"Johnson, R.C., Mercier, T.J., and Brownfield, M.E., 2014, Spatial and stratigraphic distribution of water in oil shale of the Green River Formation using Fischer Assay, Piceance Basin, northwestern Colorado: U.S. Geological Survey Open-File Report 2014-1059, iv, 57 p., https://doi.org/10.3133/ofr20141059.","productDescription":"iv, 57 p.","numberOfPages":"62","onlineOnly":"Y","ipdsId":"IP-050922","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":286311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141059.jpg"},{"id":286310,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1059/pdf/ofr2014-1059.pdf"},{"id":286309,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1059/"}],"country":"United States","state":"Colorado","otherGeospatial":"Green River;Piceance Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.0,39.0 ], [ -112.0,43.0 ], [ -107.0,43.0 ], [ -107.0,39.0 ], [ -112.0,39.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517064e4b05569d805a3c5","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":491718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":491719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":491717,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048373,"text":"70048373 - 2014 - Uncertainty, robustness, and the value of information in managing a population of northern bobwhites","interactions":[],"lastModifiedDate":"2014-04-11T14:38:01","indexId":"70048373","displayToPublicDate":"2014-04-11T14:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Uncertainty, robustness, and the value of information in managing a population of northern bobwhites","docAbstract":"The abundance of northern bobwhites (Colinus virginianus) has decreased throughout their range. Managers often respond by considering improvements in harvest and habitat management practices, but this can be challenging if substantial uncertainty exists concerning the cause(s) of the decline. We were interested in how application of decision science could be used to help managers on a large, public management area in southwestern Florida where the bobwhite is a featured species and where abundance has severely declined. We conducted a workshop with managers and scientists to elicit management objectives, alternative hypotheses concerning population limitation in bobwhites, potential management actions, and predicted management outcomes. Using standard and robust approaches to decision making, we determined that improved water management and perhaps some changes in hunting practices would be expected to produce the best management outcomes in the face of uncertainty about what is limiting bobwhite abundance. We used a criterion called the expected value of perfect information to determine that a robust management strategy may perform nearly as well as an optimal management strategy (i.e., a strategy that is expected to perform best, given the relative importance of different management objectives) with all uncertainty resolved. We used the expected value of partial information to determine that management performance could be increased most by eliminating uncertainty over excessive-harvest and human-disturbance hypotheses. Beyond learning about the factors limiting bobwhites, adoption of a dynamic management strategy, which recognizes temporal changes in resource and environmental conditions, might produce the greatest management benefit. Our research demonstrates that robust approaches to decision making, combined with estimates of the value of information, can offer considerable insight into preferred management approaches when great uncertainty exists about system dynamics and the effects of management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.682","usgsCitation":"Johnson, F.A., Hagan, G., Palmer, W., and Kemmerer, M., 2014, Uncertainty, robustness, and the value of information in managing a population of northern bobwhites: Journal of Wildlife Management, v. 78, no. 3, p. 531-539, https://doi.org/10.1002/jwmg.682.","productDescription":"9 p.","startPage":"531","endPage":"539","numberOfPages":"9","ipdsId":"IP-046114","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":286305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286304,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.682"}],"country":"United States","state":"Florida","county":"Charlotte County","otherGeospatial":"Fred C. Babcock/cecil M. Webb Wildlife Management Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.973436,26.798844 ], [ -81.973436,26.94691 ], [ -81.759653,26.94691 ], [ -81.759653,26.798844 ], [ -81.973436,26.798844 ] ] ] } } ] }","volume":"78","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-11","publicationStatus":"PW","scienceBaseUri":"5351706ce4b05569d805a42b","contributors":{"authors":[{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":484468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagan, Greg","contributorId":60129,"corporation":false,"usgs":true,"family":"Hagan","given":"Greg","email":"","affiliations":[],"preferred":false,"id":484469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palmer, William E.","contributorId":64157,"corporation":false,"usgs":true,"family":"Palmer","given":"William E.","affiliations":[],"preferred":false,"id":484470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kemmerer, Michael","contributorId":85090,"corporation":false,"usgs":true,"family":"Kemmerer","given":"Michael","email":"","affiliations":[],"preferred":false,"id":484471,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70094373,"text":"fs20143011 - 2014 - Characterization of stormwater at selected South Carolina Department of Transportation maintenance yards and section shed facilities in Ballentine, Conway, and North Charleston, South Carolina, 2010-12","interactions":[],"lastModifiedDate":"2016-12-07T11:41:04","indexId":"fs20143011","displayToPublicDate":"2014-04-11T14:16:00","publicationYear":"2014","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":"2014-3011","title":"Characterization of stormwater at selected South Carolina Department of Transportation maintenance yards and section shed facilities in Ballentine, Conway, and North Charleston, South Carolina, 2010-12","docAbstract":"Increased impervious surfaces (driveways, parking lots, and buildings) and human activities (residential, industrial, and commercial) have been linked to substantial changes in both the quality and quantity of stormwater on a watershed scale (Brabec and others, 2002; Pitt and Maestre, 2005). Small-scale storage and equipment repair facilities increase impervious surfaces that prevent infiltration of stormwater, and these facilities accommodate activities that can introduce trace metals, organic compounds, and other contaminants to the facility’s grounds. Thus, these small facilities may contribute pollutants to the environment during storm events (U.S. Environmental Protection Agency, 1992).
\n\nThe South Carolina Department of Transportation (SCDOT) operates section shed and maintenance yard facilities throughout the State. Prior to this investigation, the SCDOT had no data to define the quality of stormwater leaving these facilities. To provide these data, the U.S. Geological Survey (USGS), in cooperation with the SCDOT, conducted an investigation to identify and quantify constituents that are transported in stormwater from two maintenance yards and a section shed in three different areas of South Carolina. The two maintenance yards, in North Charleston and Conway, S.C., were selected because they represent facilities where equipment and road maintenance materials are stored and complete equipment repair operations are conducted. The section shed, in Ballentine, S.C., was selected because it is a facility that stores equipment and road maintenance material. Characterization of the constituents that were transported in stormwater from these representative SCDOT maintenance facilities may be used by the SCDOT in the development of stormwater management plans for similar section shed and maintenance yard facilities throughout the State to improve stormwater quality.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143011","collaboration":"Prepared in cooperation with the South Carolina Department of Transportation","usgsCitation":"Journey, C.A., and Conlon, K.J., 2014, Characterization of stormwater at selected South Carolina Department of Transportation maintenance yards and section shed facilities in Ballentine, Conway, and North Charleston, South Carolina, 2010-12: U.S. Geological Survey Fact Sheet 2014-3011, 4 p., https://doi.org/10.3133/fs20143011.","productDescription":"4 p.","onlineOnly":"Y","ipdsId":"IP-052435","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":286302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143011.jpg"},{"id":286301,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3011/pdf/fs2014-3011.pdf"},{"id":286300,"type":{"id":15,"text":"Index 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kjconlon@usgs.gov","orcid":"https://orcid.org/0000-0003-0798-368X","contributorId":2561,"corporation":false,"usgs":true,"family":"Conlon","given":"Kevin","email":"kjconlon@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":490592,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70098182,"text":"ofr20141058 - 2014 - Hydrogeology of the Old Faithful area, Yellowstone National Park, Wyoming, and its relevance to natural resources and infrastructure","interactions":[],"lastModifiedDate":"2019-03-13T09:04:51","indexId":"ofr20141058","displayToPublicDate":"2014-04-11T11:00:00","publicationYear":"2014","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":"2014-1058","title":"Hydrogeology of the Old Faithful area, Yellowstone National Park, Wyoming, and its relevance to natural resources and infrastructure","docAbstract":"A panel of leading experts (The Old Faithful Science Review Panel) was convened by Yellowstone National Park (YNP) to review and summarize the geological and hydrological understanding that can inform National Park Service management of the Upper Geyser Basin area. We give an overview of present geological and hydrological knowledge of the Old Faithful hydrothermal (hot water) system and related thermal areas in the Upper Geyser Basin. We prioritize avenues for improving our understanding of key knowledge gaps that limit informed decision-making regarding human use in this fragile natural landscape. Lastly, we offer guidelines to minimize impacts to the hydrothermal system that could be used to aid decisions by park management.
\nOld Faithful sits within the Upper Geyser Basin, an area of abundant hydrothermal activity where boiling waters extend from the surface to significant depth within glacial sediments and underlying volcanic rocks. The geyser systems are directly fed by waters recharged decades to millennia ago, which are surrounded by colder, younger waters. Activity of the geysers is controlled by complex subsurface plumbing with fractures and conduits separated by regions of low permeability. Observations over the past century indicate that the thermal areas and their features are both fragile and highly dynamic. Although Old Faithful has erupted regularly for the past 150 years, it exhibits changes in eruptive behavior over time, and the average interval between eruptions has increased by about 50 percent over the past 50 years. It is clear that human activity has modified the hydrothermal system in the past; conversely, natural features pose ongoing hazards to humans and human infrastructure.
\nCurrent (2014) long-term programs to measure heat discharge by chloride-flux monitoring, and more recently by thermal-infrared imaging, are crucial for assessing the status of the hydrothermal system. Complementary studies could include airborne resistivity, environmental tracers, numerical modeling, and greater emphasis on measuring the discharge of water during geyser eruptions. Such data are needed to better understand the subsurface plumbing systems that feed the geysers. Further understanding can be gained through installation of shallow groundwater observation wells, surface geophysical studies, and direct measurement of temperature gradients near the surface. It also is critical to archive existing data from all studies in a manner that will be readily accessible to scientists and decision makers. Monitoring and data collection can be achieved through the YNP geology program, by direct funding to other groups, or by encouraging and facilitating externally funded research.
\nThere are many documented examples at YNP and elsewhere where human infrastructure and natural thermal features have negatively affected each other. Unless action is taken, human conflicts with the Old Faithful hydrothermal system are likely to increase over the coming years. This is partly because of the increase in park visitation over the past decades, but also because the interval between eruptions of Old Faithful has increased, lengthening the time spent (and services needed) for each visitor at Old Faithful. To avoid an increase in visitor impacts, the National Park Service should consider 2 alternate strategies to accommodate people, vehicles, and services in the Upper Geyser Basin, such as shuttle services from staging (parking and dining) areas with little or no recent hydrothermal activity. We further suggest that YNP consider a zone system to guide maintenance and development of infrastructure in the immediate Old Faithful area. A “red” zone includes hydrothermally active land where new development is discouraged and existing infrastructure is modified with great care. An outer “green” zone represents areas where cooler temperatures and less hydrothermal flow are thought to exist, and where development and maintenance could proceed as occurs elsewhere in the park. An intermediate “yellow” zone would require preliminary assessment of subsurface temperatures and gas concentrations to assess suitability for infrastructure development. The panel recommends that YNP management follow the lead of the National Park System Advisory Board Science Committee (2012) by applying the “precautionary principle” when making decisions regarding the interaction of hydrothermal phenomena and park infrastructure in the Old Faithful area and other thermal areas within YNP.
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Additionally, the GaWSC operates more than 180 groundwater monitoring wells, 42 of which are real-time. 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517039e4b05569d805a1fc","contributors":{"authors":[{"text":"Knaak, Andrew E. 0000-0003-1813-8959 aknaak@usgs.gov","orcid":"https://orcid.org/0000-0003-1813-8959","contributorId":3123,"corporation":false,"usgs":true,"family":"Knaak","given":"Andrew","email":"aknaak@usgs.gov","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peck, Michael F. mfpeck@usgs.gov","contributorId":1467,"corporation":false,"usgs":true,"family":"Peck","given":"Michael F.","email":"mfpeck@usgs.gov","affiliations":[],"preferred":false,"id":492559,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70093575,"text":"sir20145019 - 2014 - Remediation scenarios for attenuating peak flows and reducing sediment transport in Fountain Creek, Colorado, 2013","interactions":[],"lastModifiedDate":"2014-04-11T08:00:45","indexId":"sir20145019","displayToPublicDate":"2014-04-11T07:48:00","publicationYear":"2014","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":"2014-5019","title":"Remediation scenarios for attenuating peak flows and reducing sediment transport in Fountain Creek, Colorado, 2013","docAbstract":"The U.S. Geological Survey (USGS) in cooperation with the Fountain Creek Watershed, Flood Control and Greenway District assessed remediation scenarios to attenuate peak flows and reduce sediment loads in the Fountain Creek watershed. To evaluate these strategies, the U.S. Army Corps of Engineers Hydrologic Engineering Center (HEC) hydrologic and hydraulic models were employed.
\nThe U.S. Army Corps of Engineers modeling system HEC-HMS (Hydrologic Modeling System) version 3.5 was used to simulate runoff in the Fountain Creek watershed, Colorado, associated with storms of varying magnitude and duration. Rain-gage precipitation data and radar-based precipitation data from the April 28–30, 1999, and September 14–15, 2011, storm events were used in the calibration process for the HEC-HMS model. The curve number and lag time for each subwatershed and Manning's roughness coefficients for each channel reach were adjusted within an acceptable range so that the simulated and measured streamflow hydrographs for each of the 12 USGS streamgages approximated each other.
\nThe U.S. Army Corps of Engineers modeling system HEC-RAS (River Analysis System) versions 4.1 and 4.2 were used to simulate streamflow and sediment transport, respectively, for the Fountain Creek watershed generated by a particular storm event. Data from 15 USGS streamgages were used for model calibration and 7 of those USGS streamgages were used for model validation. The calibration process consisted of comparing the simulated water-surface elevations and the cross-section-averaged velocities from the model with those surveyed in the field at the cross section at the corresponding 15 and 7 streamgages, respectively. The final Manning’s roughness coefficients were adjusted between –30 and 30 percent at the 15 calibration streamgages from the original left, right, and channel-averaged Manning's roughness coefficients upon completion of calibration.
\nThe U.S. Army Corps of Engineers modeling system HEC-RAS version 4.2 was used to simulate streamflow and sediment transport for the Fountain Creek watershed generated by a design-storm event. The Laursen-Copeland sediment-transport function was used in conjunction with the Exner 5 sorting method and the Ruby fall-velocity method to predict sediment transport. Six USGS streamgages equipped with suspended-sediment samplers were used to develop sediment-flow rating curves for the sediment-transport-model calibration. The critical Shields number in the Laursen-Copeland sediment-transport function and the volume of sediment available at a given cross section were adjusted during the HEC-RAS sediment-model calibration process.
\nHEC-RAS model simulations used to evaluate the 14 remediation scenarios were based on unsteady-state streamflows associated with a 24-hour, 1-percent annual exceedance probability (100-year) National Oceanic and Atmospheric Administration Type II precipitation event. Scenario 0 represents the baseline or current conditions in the watershed and was used to compare the remaining 13 scenarios. Scenarios 1–8 and 12 rely on side-detention facilities to reduce peak flows and sediment transport. Scenario 9 has a diversion channel, and scenario 10 has a reservoir. Scenarios 11 and 13 incorporate channel armoring and channel widening, respectively. Scenarios 8 and 10, the scenario with the most side-detention facilities, and the scenario with the reservoir, respectively, were the most effective at reducing sediment transport and peak flow at the Pueblo, Colorado, streamgage. Scenarios 8 and 10 altered the peak flow by –58.9 and –56.4 percent, respectively. In turn, scenarios 8 and 10 altered the sediment transport by –17.7 and –62.1 percent, respectively.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145019","collaboration":"Prepared in cooperation with the Fountain Creek Watershed, Flood Control and Greenway District","usgsCitation":"Kohn, M.S., Fulton, J.W., Williams, C.A., and Stogner, 2014, Remediation scenarios for attenuating peak flows and reducing sediment transport in Fountain Creek, Colorado, 2013: U.S. Geological Survey Scientific Investigations Report 2014-5019, ix, 62 p., https://doi.org/10.3133/sir20145019.","productDescription":"ix, 62 p.","numberOfPages":"76","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-053256","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":286229,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5019/"},{"id":286236,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5019/pdf/sir2014-5019.pdf"},{"id":286237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145019.jpg"}],"projection":"Colorado State Plane","datum":"North American Datum of 1983","country":"United States","state":"Colorado","otherGeospatial":"Fountain Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.2998,38.2455 ], [ -105.2998,39.1716 ], [ -104.2993,39.1716 ], [ -104.2993,38.2455 ], [ -105.2998,38.2455 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351705fe4b05569d805a38e","contributors":{"authors":[{"text":"Kohn, Michael S. 0000-0002-5989-7700 mkohn@usgs.gov","orcid":"https://orcid.org/0000-0002-5989-7700","contributorId":4549,"corporation":false,"usgs":true,"family":"Kohn","given":"Michael","email":"mkohn@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, John W. 0000-0002-5335-0720 jwfulton@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-0720","contributorId":2298,"corporation":false,"usgs":true,"family":"Fulton","given":"John","email":"jwfulton@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stogner 0000-0002-3185-1452 rstogner@usgs.gov","orcid":"https://orcid.org/0000-0002-3185-1452","contributorId":938,"corporation":false,"usgs":true,"family":"Stogner","email":"rstogner@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":490056,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70095745,"text":"sir20145039 - 2014 - Development of a regionally consistent geospatial dataset of agricultural lands in the Upper Colorado River Basin, 2007-10","interactions":[],"lastModifiedDate":"2017-01-25T10:35:41","indexId":"sir20145039","displayToPublicDate":"2014-04-10T15:48:00","publicationYear":"2014","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":"2014-5039","title":"Development of a regionally consistent geospatial dataset of agricultural lands in the Upper Colorado River Basin, 2007-10","docAbstract":"Irrigation in arid environments can alter the natural rate at which salts are dissolved and transported to streams. Irrigated agricultural lands are the major anthropogenic source of dissolved solids in the Upper Colorado River Basin (UCRB). Understanding the location, spatial distribution, and irrigation status of agricultural lands and the method used to deliver water to agricultural lands are important to help improve the understanding of agriculturally derived dissolved-solids loading to surface water in the UCRB. Irrigation status is the presence or absence of irrigation on an agricultural field during the selected growing season or seasons. Irrigation method is the system used to irrigate a field. Irrigation method can broadly be grouped into sprinkler or flood methods, although other techniques such as drip irrigation are used in the UCRB. Flood irrigation generally causes greater dissolved-solids loading to streams than sprinkler irrigation. Agricultural lands in the UCRB mapped by state agencies at varying spatial and temporal resolutions were assembled and edited to represent conditions in the UCRB between 2007 and 2010. Edits were based on examination of 1-meter resolution aerial imagery collected between 2009 and 2011. Remote sensing classification techniques were used to classify irrigation status for the June to September growing seasons between 2007 and 2010. The final dataset contains polygons representing approximately 1,759,900 acres of agricultural lands in the UCRB. Approximately 66 percent of the mapped agricultural lands were likely irrigated during the study period.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145039","collaboration":"Prepared in cooperation with the U.S. Department of the Interior Bureau of Reclamation and Bureau of Land Management","usgsCitation":"Buto, S.G., Gold, B.L., and Jones, K.A., 2014, Development of a regionally consistent geospatial dataset of agricultural lands in the Upper Colorado River Basin, 2007-10: U.S. Geological Survey Scientific Investigations Report 2014-5039, Report: iv, 20 p.; Metadata, https://doi.org/10.3133/sir20145039.","productDescription":"Report: iv, 20 p.; Metadata","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-042655","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science 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