{"pageNumber":"823","pageRowStart":"20550","pageSize":"25","recordCount":46730,"records":[{"id":81002,"text":"pp1739B - 2008 - Lithofacies, Age, and Sequence Stratigraphy of the Carboniferous Lisburne Group in the Skimo Creek Area, Central Brooks Range","interactions":[],"lastModifiedDate":"2018-05-07T21:02:23","indexId":"pp1739B","displayToPublicDate":"2008-03-13T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1739","chapter":"B","title":"Lithofacies, Age, and Sequence Stratigraphy of the Carboniferous Lisburne Group in the Skimo Creek Area, Central Brooks Range","docAbstract":"The Lisburne Group, a mainly Carboniferous carbonate succession that is widely distributed across northern Alaska, contains notable amounts of oil and gas at Prudhoe Bay. Detailed studies of the Lisburne in the Skimo Creek area, central Brooks Range, delineate its lithofacies, age, conodont biofacies, depositional environments, and sequence stratigraphy and provide new data on its hydrocarbon source-rock and reservoir potential, as well as its thermal history, in this area.\r\n\r\nWe have studied the Lisburne Group in two thrust sheets of the Endicott Mountains allochthon, herein called the Skimo and Tiglukpuk thrust sheets. The southern, Skimo Creek section, which is >900 m thick, is composed largely of even-bedded to nodular lime mudstone and wackestone intercalated with intervals of thin- to thick-bedded bioclastic packstone and grainstone. Some parts of the section are partially to completely dolomitized and (or) replaced by chert. A distinctive, 30-m-thick zone of black, organic-rich shale, lime mudstone, and phosphorite is exposed 170 m below the top of the Lisburne. The uppermost 40 m of section is also distinctive and made up of dark shale, lime mudstone, spiculite, and glauconitic grainstone. The northern, Tiglukpuk Creek section, which is similar to the Skimo Creek section but only ~760 m thick, includes more packstone and grainstone and less organic-rich shale. Analyses of conodonts and foraminifers indicate that both sections range in age from late Early Mississippian (Osagean) through Early Pennsylvanian (early Morrowan) and document a hiatus of at least 15 m.y. at the contact between the Lisburne and the overlying Siksikpuk Formation. No evidence of subaerial exposure was observed along this contact, which may represent a submarine erosional surface.\r\n\r\nLithofacies and biofacies imply that the Lisburne Group in the study area was deposited mainly in midramp to outer-ramp settings. Deepest water strata are mud rich and formed below storm or fair-weather wave base on the outer ramp to outer midramp; shallowest facies are storm, sand-wave, and shoal deposits of the inner midramp to inner ramp. A relatively diverse, open-marine fauna occurs throughout much of the Lisburne in the study area, but some beds also contain clasts typical of more restricted, shallow-water environments that were likely transported seaward by storms and currents. Radiolarians are abundant in the shale and phosphorite unit at Skimo Creek and also occur in equivalent strata at Tiglukpuk Creek; high gamma-ray response and elevated total organic-carbon contents (max 5?8 weight percent) also characterize this unit at Skimo Creek. Lithologic, faunal, and geochemical data all suggest that these rocks formed mainly in an outer-ramp to basinal setting with low sedimentation rates, high productivity, and poorly oxygenated bottom water. Shale and mudstone at the top of the Lisburne Group accumulated in a similarly sediment starved, mainly outer ramp environment but lack comparable evidence for high nutrient and low oxygen levels during deposition.\r\n\r\nVertical shifts in rock types and faunas delineate numerous parasequences and six probable third-order sequences in the study area; the same sequences are also recognized in the Lisburne Group to the east. Transgressive-system tracts in these sequences generally fine upward, whereas highstand-system tracts coarsen upward. Sequences in the Tiglukpuk Creek section are mostly thinner, contain thinner and more numerous parasequences, and accumulated in somewhat shallower settings than those in the Skimo Creek section. These differences reflect the more seaward position and, thus, increased accommodation space of the Skimo Creek section relative to the Tiglukpuk Creek section during deposition.\r\n\r\nOrganic-rich calcareous shale in the shale and phosphorite unit has a cumulative thickness of at least 15 m and a lateral extent of >50 km; this lithology is the best potential hydrocarbon source rock in the Lisburne Group","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, 2006","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/pp1739B","usgsCitation":"Dumoulin, J.A., Whalen, M.T., and Harris, A.G., 2008, Lithofacies, Age, and Sequence Stratigraphy of the Carboniferous Lisburne Group in the Skimo Creek Area, Central Brooks Range (Version 1.0): U.S. Geological Survey Professional Paper 1739, 64 p., https://doi.org/10.3133/pp1739B.","productDescription":"64 p.","onlineOnly":"Y","costCenters":[{"id":658,"text":"Western Mineral Resources","active":false,"usgs":true}],"links":[{"id":194583,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10865,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/pp1739/b/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -168,68 ], [ -168,74 ], [ -136,74 ], [ -136,68 ], [ -168,68 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b14e4b07f02db6a4805","contributors":{"authors":[{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":294108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whalen, Michael T.","contributorId":31852,"corporation":false,"usgs":true,"family":"Whalen","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":294109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harris, Anita G.","contributorId":50162,"corporation":false,"usgs":true,"family":"Harris","given":"Anita","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":294110,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":81005,"text":"ofr20081017 - 2008 - Basic Statistical Concepts and Methods for Earth Scientists","interactions":[],"lastModifiedDate":"2012-02-02T00:14:16","indexId":"ofr20081017","displayToPublicDate":"2008-03-13T00:00:00","publicationYear":"2008","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":"2008-1017","title":"Basic Statistical Concepts and Methods for Earth Scientists","docAbstract":"INTRODUCTION\r\n\r\nStatistics is the science of collecting, analyzing, interpreting, modeling, and displaying masses of numerical data primarily for the characterization and understanding of incompletely known systems.\r\n\r\nOver the years, these objectives have lead to a fair amount of analytical work to achieve, substantiate, and guide descriptions and inferences.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081017","usgsCitation":"Olea, R., 2008, Basic Statistical Concepts and Methods for Earth Scientists: U.S. Geological Survey Open-File Report 2008-1017, 193 p., https://doi.org/10.3133/ofr20081017.","productDescription":"193 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190503,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10868,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1017/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6fe4b07f02db640745","contributors":{"authors":[{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":47873,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":294115,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70199503,"text":"70199503 - 2008 - Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States","interactions":[],"lastModifiedDate":"2018-09-19T15:34:30","indexId":"70199503","displayToPublicDate":"2008-03-12T15:33:55","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States","docAbstract":"

Spatial climate data sets of 1971–2000 mean monthly precipitation and minimum and maximum temperature were developed for the conterminous United States. These 30‐arcsec (∼800‐m) grids are the official spatial climate data sets of the U.S. Department of Agriculture. The PRISM (Parameter‐elevation Relationships on Independent Slopes Model) interpolation method was used to develop data sets that reflected, as closely as possible, the current state of knowledge of spatial climate patterns in the United States. PRISM calculates a climate–elevation regression for each digital elevation model (DEM) grid cell, and stations entering the regression are assigned weights based primarily on the physiographic similarity of the station to the grid cell. Factors considered are location, elevation, coastal proximity, topographic facet orientation, vertical atmospheric layer, topographic position, and orographic effectiveness of the terrain. Surface stations used in the analysis numbered nearly 13 000 for precipitation and 10 000 for temperature. Station data were spatially quality controlled, and short‐period‐of‐record averages adjusted to better reflect the 1971–2000 period.

PRISM interpolation uncertainties were estimated with cross‐validation (C‐V) mean absolute error (MAE) and the 70% prediction interval of the climate–elevation regression function. The two measures were not well correlated at the point level, but were similar when averaged over large regions. The PRISM data set was compared with the WorldClim and Daymet spatial climate data sets. The comparison demonstrated that using a relatively dense station data set and the physiographically sensitive PRISM interpolation process resulted in substantially improved climate grids over those of WorldClim and Daymet. The improvement varied, however, depending on the complexity of the region. Mountainous and coastal areas of the western United States, characterized by sparse data coverage, large elevation gradients, rain shadows, inversions, cold air drainage, and coastal effects, showed the greatest improvement. The PRISM data set benefited from a peer review procedure that incorporated local knowledge and data into the development process.

","language":"English","publisher":"Royal Meteorological Society","doi":"10.1002/joc.1688","usgsCitation":"Daly, C., Halbleib, M., Smith, J.I., Gibson, W.P., Doggett, M.K., Taylor, G.H., Curtis, J., and Pasteris, P., 2008, Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States: International Journal of Climatology, v. 28, no. 15, p. 2031-2064, https://doi.org/10.1002/joc.1688.","productDescription":"34 p.","startPage":"2031","endPage":"2064","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":357508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"28","issue":"15","noUsgsAuthors":false,"publicationDate":"2008-03-12","publicationStatus":"PW","scienceBaseUri":"5c10d445e4b034bf6a7f9f6c","contributors":{"authors":[{"text":"Daly, Christopher","contributorId":83330,"corporation":false,"usgs":true,"family":"Daly","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":745611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halbleib, Michael","contributorId":208013,"corporation":false,"usgs":false,"family":"Halbleib","given":"Michael","email":"","affiliations":[],"preferred":false,"id":745612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joseph I.","contributorId":208014,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":745613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibson, Wayne P.","contributorId":208015,"corporation":false,"usgs":false,"family":"Gibson","given":"Wayne","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":745614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doggett, Matthew K.","contributorId":208016,"corporation":false,"usgs":false,"family":"Doggett","given":"Matthew","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":745615,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, George H.","contributorId":24386,"corporation":false,"usgs":true,"family":"Taylor","given":"George","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":745616,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Curtis, Jan","contributorId":208017,"corporation":false,"usgs":false,"family":"Curtis","given":"Jan","email":"","affiliations":[],"preferred":false,"id":745617,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pasteris, Phil","contributorId":173363,"corporation":false,"usgs":false,"family":"Pasteris","given":"Phil","email":"","affiliations":[],"preferred":false,"id":745618,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70206344,"text":"70206344 - 2008 - Advancing process‐based watershed hydrological research using near‐surface geophysics: A vision for, and review of, electrical and magnetic geophysical methods","interactions":[],"lastModifiedDate":"2020-02-24T16:14:50","indexId":"70206344","displayToPublicDate":"2008-03-11T16:36:09","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Advancing process‐based watershed hydrological research using near‐surface geophysics: A vision for, and review of, electrical and magnetic geophysical methods","docAbstract":"

We want to develop a dialogue between geophysicists and hydrologists interested in synergistically advancing process based watershed research. We identify recent advances in geophysical instrumentation, and provide a vision for the use of electrical and magnetic geophysical instrumentation in watershed scale hydrology. The focus of the paper is to identify instrumentation that could significantly advance this vision for geophysics and hydrology during the next 3–5 years. We acknowledge that this is one of a number of possible ways forward and seek only to offer a relatively narrow and achievable vision. The vision focuses on the measurement of geological structure and identification of flow paths using electrical and magnetic methods. The paper identifies instruments, provides examples of their use, and describes how synergy between measurement and modelling could be achieved. Of specific interest are the airborne systems that can cover large areas and are appropriate for watershed studies. Although airborne geophysics has been around for some time, only in the last few years have systems designed exclusively for hydrological applications begun to emerge. These systems, such as airborne electromagnetic (EM) and transient electromagnetic (TEM), could revolutionize hydrogeological interpretations. Our vision centers on developing nested and cross scale electrical and magnetic measurements that can be used to construct a three‐dimensional (3D) electrical or magnetic model of the subsurface in watersheds. The methodological framework assumes a ‘top down’ approach using airborne methods to identify the large scale, dominant architecture of the subsurface. We recognize that the integration of geophysical measurement methods, and data, into watershed process characterization and modelling can only be achieved through dialogue. Especially, through the development of partnerships between geophysicists and hydrologists, partnerships that explore how the application of geophysics can answer critical hydrological science questions, and conversely provide an understanding of the limitations of geophysical measurements and interpretation. 

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.6963","usgsCitation":"Robinson, D., Binley, A., Crook, N., Day-Lewis, F., Ferre, T.P., Grauch, V.J., Knight, R., Knoll, M., Lakshmi, V., Miller, R., Nyquist, J., Pellerin, L., Singha, K., and Slater, L., 2008, Advancing process‐based watershed hydrological research using near‐surface geophysics: A vision for, and review of, electrical and magnetic geophysical methods: Hydrological Processes, v. 22, no. 18, p. 3604-3635, https://doi.org/10.1002/hyp.6963.","productDescription":"32 p.","startPage":"3604","endPage":"3635","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":368771,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"18","noUsgsAuthors":false,"publicationDate":"2008-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, D.A.","contributorId":64895,"corporation":false,"usgs":true,"family":"Robinson","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":774229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Binley, A.","contributorId":220130,"corporation":false,"usgs":false,"family":"Binley","given":"A.","email":"","affiliations":[],"preferred":false,"id":774230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crook, N.","contributorId":222720,"corporation":false,"usgs":false,"family":"Crook","given":"N.","email":"","affiliations":[],"preferred":false,"id":783011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day-Lewis, F. D. 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":35773,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"F. D.","affiliations":[],"preferred":false,"id":783012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferre, T. P. A","contributorId":206539,"corporation":false,"usgs":false,"family":"Ferre","given":"T.","email":"","middleInitial":"P. A","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":783013,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grauch, V. J. S. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":886,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J. S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":783014,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knight, R.","contributorId":22717,"corporation":false,"usgs":true,"family":"Knight","given":"R.","affiliations":[],"preferred":false,"id":783015,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Knoll, M.","contributorId":222722,"corporation":false,"usgs":false,"family":"Knoll","given":"M.","email":"","affiliations":[],"preferred":false,"id":783016,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lakshmi, V.","contributorId":58071,"corporation":false,"usgs":true,"family":"Lakshmi","given":"V.","email":"","affiliations":[],"preferred":false,"id":783017,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, R.","contributorId":19118,"corporation":false,"usgs":true,"family":"Miller","given":"R.","affiliations":[],"preferred":false,"id":783018,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nyquist, J.","contributorId":222723,"corporation":false,"usgs":false,"family":"Nyquist","given":"J.","email":"","affiliations":[],"preferred":false,"id":783019,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pellerin, L.","contributorId":94073,"corporation":false,"usgs":true,"family":"Pellerin","given":"L.","email":"","affiliations":[],"preferred":false,"id":783020,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Singha, K.","contributorId":201025,"corporation":false,"usgs":false,"family":"Singha","given":"K.","email":"","affiliations":[],"preferred":false,"id":783021,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Slater, L.","contributorId":99267,"corporation":false,"usgs":true,"family":"Slater","given":"L.","email":"","affiliations":[],"preferred":false,"id":783022,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":80993,"text":"gap15 - 2008 - GAP Analysis Bulletin Number 15","interactions":[],"lastModifiedDate":"2018-12-21T13:08:34","indexId":"gap15","displayToPublicDate":"2008-03-08T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":30,"text":"GAP Bulletin","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"15","title":"GAP Analysis Bulletin Number 15","docAbstract":"

The Mission of the Gap Analysis Project (GAP) <http://gapanalysis.nbii.gov> is to promote conservation by providing broad geographic information on biological diversity to resource managers, planners, and policy makers who can use the information to make informed decisions. As part of the National Biological Information Infrastructure (NBII) <http://www.nbii.gov>?a collaborative program to provide increased access to data and information on the nation?s biological resources--GAP data and analytical tools have been used in hundreds of applications: from basic research to comprehensive state wildlife plans; from educational projects in schools to ecoregional assessments of biodiversity. The challenge: keeping common species common means protecting them BEFORE they become threatened. To do this on a state or regional basis requires key information such as land cover descriptions, predicted distribution maps for native animals, and an assessment of the level of protection currently given to those plants and animals. GAP works cooperatively with Federal, state, and local natural resource professionals and academics to provide this kind of information. GAP activities focus on the creation of state and regional databases and maps that depict patterns of land management, land cover, and biodiversity. These data can be used to identify ?gaps? in conservation--instances where an animal or plant community is not adequately represented on the existing network of conservation lands. GAP is administered through the U.S. Geological Survey. Through building partnerships among disparate groups, GAP hopes to foster the kind of collaboration that is needed to address conservation issues on a broad scale. For more information, contact: John Mosesso National GAP Director 703-648-4079 Kevin Gergely National GAP Operations Manager 208-885-3565

","language":"ENGLISH","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Maxwell, J., Gergely, K., Aycrigg, J., Canonico, G., Davidson, A., and Coffey, N., 2008, GAP Analysis Bulletin Number 15: GAP Bulletin 15, 84 p.","productDescription":"84 p.","temporalStart":"2007-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":195056,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":10855,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gap/gap15/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b30e4b07f02db6b409c","contributors":{"authors":[{"text":"Maxwell, Jill","contributorId":19650,"corporation":false,"usgs":true,"family":"Maxwell","given":"Jill","email":"","affiliations":[],"preferred":false,"id":294079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gergely, Kevin","contributorId":27570,"corporation":false,"usgs":true,"family":"Gergely","given":"Kevin","affiliations":[],"preferred":false,"id":294081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aycrigg, Jocelyn","contributorId":76422,"corporation":false,"usgs":true,"family":"Aycrigg","given":"Jocelyn","affiliations":[],"preferred":false,"id":294084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Canonico, Gabrielle","contributorId":34218,"corporation":false,"usgs":true,"family":"Canonico","given":"Gabrielle","affiliations":[],"preferred":false,"id":294082,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davidson, Anne","contributorId":48268,"corporation":false,"usgs":true,"family":"Davidson","given":"Anne","affiliations":[],"preferred":false,"id":294083,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coffey, Nicole","contributorId":27163,"corporation":false,"usgs":true,"family":"Coffey","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":294080,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":81000,"text":"sir20085007 - 2008 - Calibration of a water-quality model for low-flow conditions on the Red River of the North at Fargo, North Dakota, and Moorhead, Minnesota, 2003","interactions":[],"lastModifiedDate":"2017-10-14T13:05:45","indexId":"sir20085007","displayToPublicDate":"2008-03-08T00:00:00","publicationYear":"2008","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":"2008-5007","title":"Calibration of a water-quality model for low-flow conditions on the Red River of the North at Fargo, North Dakota, and Moorhead, Minnesota, 2003","docAbstract":"A time-of-travel and reaeration-rate study was conducted by the U.S. Geological Survey, in cooperation with the North Dakota Department of Health, the Minnesota Pollution Control Agency, and the cities of Fargo, North Dakota, and Moorhead, Minnesota, to provide information to calibrate a water-quality model for streamflows of less than 150 cubic feet per second. Data collected from September 24 through 27, 2003, were used to develop and calibrate the U.S. Environmental Protection Agency Water Quality Analysis Simulation Program model (hereinafter referred to as the Fargo WASP water-quality model) for a 19.2-mile reach of the Red River of the North.\r\n\r\nThe Fargo WASP water-quality model was calibrated for the transport of dye by fitting simulated time-concentration dye curves to measured time-concentration dye curves. Simulated peak concentrations were within 10 percent of measured concentrations. Simulated traveltimes of the dye cloud centroid were within 7 percent of measured traveltimes. The variances of the simulated dye concentrations were similar to the variances of the measured dye concentrations, indicating dispersion was reproduced reasonably well.\r\n\r\nAverage simulated dissolved-oxygen concentrations were within 6 percent of average measured concentrations. Average simulated ammonia concentrations were within the range of measured concentrations. Simulated dissolved-oxygen and ammonia concentrations were affected by the specification of a single nitrification rate in the Fargo WASP water-quality model.\r\n\r\nData sets from August 1989 and August 1990 were used to test traveltime and simulation of dissolved oxygen and ammonia. For streamflows that ranged from 60 to 407 cubic feet per second, simulated traveltimes were within 7 percent of measured traveltimes. Measured dissolved-oxygen concentrations were underpredicted by less than 15 percent for both data sets. Results for ammonia were poor; measured ammonia concentrations were underpredicted by as much as 70 percent for both data sets. Overall, application of the Fargo WASP water-quality model to the 1989 and 1990 data sets resulted in poor agreement between measured and simulated concentrations. This likely is a result of changes in the waste-load composition for the Fargo and Moorhead wastewater-treatment plants as a result of improvements to the wastewater-treatment plants since 1990. The change in waste-load composition probably resulted in a change in decay rates and in dissolved oxygen no longer being substantially depressed downstream from the Moorhead and Fargo wastewater-treatment plants. The Fargo WASP water-quality model is valid for the current (2008) treatment processes at the wastewater-treatment plants.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085007","collaboration":"Prepared in cooperation with the North Dakota Department of Health, the Minnesota Pollution Control Agency, and the cities of Fargo, North Dakota, and Moorhead, Minnesota","usgsCitation":"Lundgren, R.F., and Nustad, R.A., 2008, Calibration of a water-quality model for low-flow conditions on the Red River of the North at Fargo, North Dakota, and Moorhead, Minnesota, 2003 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5007, v, 42 p., https://doi.org/10.3133/sir20085007.","productDescription":"v, 42 p.","onlineOnly":"Y","temporalStart":"2003-09-24","temporalEnd":"2003-09-27","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":10862,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5007/","linkFileType":{"id":5,"text":"html"}},{"id":195716,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Minnesota, North Dakota","city":"Fargo, Moorhead","otherGeospatial":"Red River of the North","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -101,45 ], [ -101,49 ], [ -94,49 ], [ -94,45 ], [ -101,45 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e6e4b07f02db5e7288","contributors":{"authors":[{"text":"Lundgren, Robert F. 0000-0001-7669-0552 rflundgr@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-0552","contributorId":1657,"corporation":false,"usgs":true,"family":"Lundgren","given":"Robert","email":"rflundgr@usgs.gov","middleInitial":"F.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":294105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nustad, Rochelle A. 0000-0002-4713-5944 ranustad@usgs.gov","orcid":"https://orcid.org/0000-0002-4713-5944","contributorId":1811,"corporation":false,"usgs":true,"family":"Nustad","given":"Rochelle","email":"ranustad@usgs.gov","middleInitial":"A.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":294106,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":80997,"text":"sir20075262 - 2008 - Determination of premining geochemical background and delineation of extent of sediment contamination in Blue Creek downstream from Midnite Mine, Stevens County, Washington","interactions":[],"lastModifiedDate":"2017-03-29T12:13:33","indexId":"sir20075262","displayToPublicDate":"2008-03-08T00:00:00","publicationYear":"2008","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":"2007-5262","title":"Determination of premining geochemical background and delineation of extent of sediment contamination in Blue Creek downstream from Midnite Mine, Stevens County, Washington","docAbstract":"Geochemical and radionuclide studies of sediment recovered from eight core sites in the Blue Creek flood plain and Blue Creek delta downstream in Lake Roosevelt provided a stratigraphic geochemical record of the contamination from uranium mining at the Midnite Mine. Sediment recovered from cores in a wetland immediately downstream from the mine site as well as from sediment catchments in Blue Creek and from cores in the delta in Blue Creek cove provided sufficient data to determine the premining geochemical background for the Midnite Mine tributary drainage. These data provide a geochemical background that includes material eroded from the Midnite Mine site prior to mine development. Premining geochemical background for the Blue Creek basin has also been determined using stream-sediment samples from parts of the Blue Creek, Oyachen Creek, and Sand Creek drainage basins not immediately impacted by mining. Sediment geochemistry showed that premining uranium concentrations in the Midnite Mine tributary immediately downstream of the mine site were strongly elevated relative to the crustal abundance of uranium (2.3 ppm). Cesium-137 (137Cs) data and public records of production at the Midnite Mine site provided age control to document timelines in the sediment from the core immediately downstream from the mine site. Mining at the Midnite Mine site on the Spokane Indian Reservation between 1956 and 1981 resulted in production of more than 10 million pounds of U3O8. Contamination of the sediment by uranium during the mining period is documented from the Midnite Mine along a small tributary to the confluence of Blue Creek, in Blue Creek, and into the Blue Creek delta. During the period of active mining (1956?1981), enrichment of base metals in the sediment of Blue Creek delta was elevated by as much as 4 times the concentration of those same metals prior to mining. Cadmium concentrations were elevated by a factor of 10 and uranium by factors of 16 to 55 times premining geochemical background determined upstream of the mine site. Postmining metal concentrations in sediment are lower than during the mining period, but remain elevated relative to premining geochemical background. Furthermore, the sediment composition of surface sediment in the Blue Creek delta is contaminated. Base-metal contamination by arsenic, cadmium, lead, and zinc in sediment in the delta in Blue Creek cove is dominated by suspended sediment from the Coeur d?Alene mining district. Uranium contamination in surface sediment in the delta of Blue Creek cove extends at least 500 meters downstream from the mouth of Blue Creek as defined by the 1,290-ft elevation boundary between lands administered by the National Park Service and the Spokane Indian Tribe. Comparisons of the premining geochemical background to sediment sampled during the period the mine was in operation, and to the sediment data from the postmining period, are used to delineate the extent of contaminated sediment in Blue Creek cove along the thalweg of Blue Creek into Lake Roosevelt. The extent of contamination out into Lake Roosevelt by mining remains open.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075262","collaboration":"Prepared in cooperation with the Midnite Uranium Mine Natural Resource Trustee Council","usgsCitation":"Church, S.E., Kirschner, F.E., Choate, L.M., Lamothe, P.J., Budahn, J.R., and Brown, Z.A., 2008, Determination of premining geochemical background and delineation of extent of sediment contamination in Blue Creek downstream from Midnite Mine, Stevens County, Washington (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2007-5262, viii, 177 p., https://doi.org/10.3133/sir20075262.","productDescription":"viii, 177 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125738,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5262.jpg"},{"id":10859,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5262/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","county":"Stevens County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.18333333333334,47.8675 ], [ -118.18333333333334,48 ], [ -118.01666666666667,48 ], [ -118.01666666666667,47.8675 ], [ -118.18333333333334,47.8675 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db6679ee","contributors":{"authors":[{"text":"Church, Stan E. schurch@usgs.gov","contributorId":803,"corporation":false,"usgs":true,"family":"Church","given":"Stan","email":"schurch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":294094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirschner, Frederick E.","contributorId":48271,"corporation":false,"usgs":true,"family":"Kirschner","given":"Frederick","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":294098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Choate, LaDonna M. 0000-0002-0229-7210 lchoate@usgs.gov","orcid":"https://orcid.org/0000-0002-0229-7210","contributorId":1176,"corporation":false,"usgs":true,"family":"Choate","given":"LaDonna","email":"lchoate@usgs.gov","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":294096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamothe, Paul J. plamothe@usgs.gov","contributorId":1298,"corporation":false,"usgs":true,"family":"Lamothe","given":"Paul","email":"plamothe@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":294097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Budahn, James R. 0000-0001-9794-8882 jbudahn@usgs.gov","orcid":"https://orcid.org/0000-0001-9794-8882","contributorId":1175,"corporation":false,"usgs":true,"family":"Budahn","given":"James","email":"jbudahn@usgs.gov","middleInitial":"R.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":294095,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Zoe Ann","contributorId":95530,"corporation":false,"usgs":true,"family":"Brown","given":"Zoe","email":"","middleInitial":"Ann","affiliations":[],"preferred":false,"id":294099,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":80996,"text":"ofr20071358 - 2008 - Hydrogeology and water quality of the Leetown area, West Virginia","interactions":[],"lastModifiedDate":"2014-09-18T09:49:17","indexId":"ofr20071358","displayToPublicDate":"2008-03-08T00:00:00","publicationYear":"2008","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":"2007-1358","title":"Hydrogeology and water quality of the Leetown area, West Virginia","docAbstract":"

The U.S. Geological Survey’s Leetown Science Center and the co-located U.S. Department of Agriculture’s National Center for Cool and Cold Water Aquaculture both depend on large volumes of cold clean ground water to support research operations at their facilities. Currently, ground-water demands are provided by three springs and two standby production wells used to augment supplies during periods of low spring flow. Future expansion of research operations at the Leetown Science Center is dependent on assessing the availability and quality of water to the facilities and in locating prospective sites for additional wells to augment existing water supplies. The hydrogeology of the Leetown area, West Virginia, is a structurally complex karst aquifer. Although the aquifer is a karst system, it is not typical of most highly cavernous karst systems, but is dominated by broad areas of fractured rock drained by a relatively small number of solution conduits. Characterization of the aquifer by use of fluorometric tracer tests, a common approach in most karst terranes, therefore only partly defines the hydrogeologic setting of the area. In order to fully assess the hydrogeology and water quality in the vicinity of Leetown, a multi-disciplinary approach that included both fractured rock and karst research components was needed.

\n
\n

The U.S. Geological Survey developed this multi-disciplinary research effort to include geologic, hydrologic, geophysical, geographic, water-quality, and microbiological investigations in order to fully characterize the hydrogeology and water quality of the Leetown area, West Virginia. Detailed geologic and karst mapping provided the framework on which hydrologic investigations were based. Fracture trace and lineament analysis helped locate potential water-bearing fractures and guided installation of monitoring wells. Monitoring wells were drilled for borehole geophysical surveys, water-quality sampling, water-level measurements, and aquifer tests to characterize the quality of water and the hydraulic properties of the aquifer. Surface geophysical surveys provided a 3-dimensional view of bedrock resistivity in order to assess geologic and lithologic controls on ground-water flow. Borehole geophysical surveys were conducted in monitoring wells to assess the storage and movement of water in subsurface fractures. Numerous single-well, multi-well, and straddle packer aquifer tests and step-drawdown tests were conducted to define the hydraulic properties of the aquifer and to assess the role of bedrock fractures and solution conduits in the flow of ground water. Water samples collected from wells and springs were analyzed to assess the current quality of ground water and provide a baseline for future assessment. Microbiological sampling of wells for indicator bacteria and human and animal DNA provided an analysis of agricultural and suburban development impacts on ground-water quality. Light detection and ranging (LiDAR) data were analyzed to develop digital elevation models (DEMs) for assessing sinkhole distribution, to provide elevation data for development of a ground-water flow model, and to assess the distribution of major fractures and faults in the Leetown area.

\n
\n

The flow of ground water in the study area is controlled by lithology and geologic structure. Bedrock, especially low permeability units such as the shale Martinsburg Formation and the Conococheague Limestone, act as barriers to water flowing down gradient and across bedding. This retardation of cross-strike flow is especially pronounced in the Leetown area, where bedding typically dips at steep angles. Highly permeable fault and fracture zones that disrupt the rocks in cross-strike directions provide avenues through which ground water can flow laterally across or through strata of low primary permeability. Significant strike parallel thrust faults and cross-strike faults typically coincide with larger solution conduits and act as drains for the more pervasive network of interconnected diffuse fractures.

\n
\n

Results of borehole geophysical surveys indicate that although numerous fractures may intersect a borehole, only one or two of the fractures typically transmit most of the water to a well. The diffuse-flow dominated network of fractures that provides the majority of storage occupies only a small proportion of the total aquifer volume but constitutes the majority of porosity within the aquifer. Solution conduits, while occupying a relatively small volume of the overall aquifer, are especially important because they serve as primary drains for the ground-water flow system. Surface resistivity maps and cross-sectionsshow anomalous areas of low resistivities coincident with the prevailing geologic strike at N. 20º E., with major cross-strike faults, and with major springs in the region.

\n
\n

Transmissivity derived from straddle packer tests was highly variable, and ranged over three orders of magnitude (1.8 x 10-6 to 5.9 x 10-3 ft2/d) in diffuse-flow fractures. A similar large variability in transmissivity was documented by single- and multi-well aquifer tests conducted in conduit-flow dominated portions of the aquifer (2.0 x 103 to 1.4 x 104 ft2/d) in lowland areas immediately adjacent to the Leetown Science Center.

\n
\n

A stream-gaging station installed on Hopewell Run near the point where the stream exits the Leetown watershed indicates average daily streamflow for the Hopewell Run of approximately 11.2 ft3/s, and ranged from a minimum of 1.80 ft3/s on September 28, 2005, to a maximum of 73.0 ft3/s on December 11, 2003. Base-flow (ground-water) discharge surveys identified numerous small seeps adjacent to streams in the area. Hydrographs of the stage of Balch Spring show rapid response to individual storms. Strong correlation of the flow of Hopewell Run and Balch Spring indicates the nearby losing stream reach is partly responsible for higher fluctuations in the stage of Balch Spring. A water budget for the study period (2003-2005), based on measured precipitation and hydrograph analyses, is expressed as Precipitation (38.60 in/yr) = Surface Runoff (1.36 in/yr) + Ground-Water Discharge (17.73 in/yr) + Evapotranspiration (24.23 in/yr) – Change in storage (4.72 in/yr).

\n
\n

Flow of ground water through the epikarst, a shallow zone of intensely weathered rock and regolith, can be rapid (on the order of days or weeks) as flow is concentrated in solution conduits. Flow within the intermediate and deeper zones is typically much slower. Eight dye-tracer tests conducted in the Leetown area found ground-water flow patterns to be divergent, with velocities ranging from about 12.5 to 610 ft/day and a median velocity of 50 ft/day. Estimates of ground-water age in carbonate rocks in the region are on the order of 15 years in the shallower portions of the aquifer to 50 years or older for deeper portions of the aquifer. Shallow springs can have a significant component of fairly young water (< 5 years in age).

\n
\n

Ground-water samples collected from 16 sites (12 wells and 4 springs) in the Leetown area were analyzed for more than 340 constituents. Only turbidity, indicator bacteria, and radon were typically present in concentrations exceeding U.S. Environmental Protection Agency (USEPA) drinking-water or aquatic life standards.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071358","usgsCitation":"Kozar, M.D., McCoy, K.J., Weary, D.J., Field, M.S., Pierce, H., Schill, W.B., and Young, J.A., 2008, Hydrogeology and water quality of the Leetown area, West Virginia: U.S. Geological Survey Open-File Report 2007-1358, Report: ix, 100 p.; 6 Appendices, https://doi.org/10.3133/ofr20071358.","productDescription":"Report: ix, 100 p.; 6 Appendices","numberOfPages":"212","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":195229,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20071358.PNG"},{"id":10858,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1358/","linkFileType":{"id":5,"text":"html"}},{"id":294103,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1358/pdf/ofr2007-1358.all.pdf"}],"country":"United States","state":"West Virginia","city":"Leetown","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.0,39.3 ], [ -78.0,39.366667 ], [ -77.9,39.366667 ], [ -77.9,39.3 ], [ -78.0,39.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aeae1","contributors":{"authors":[{"text":"Kozar, Mark D. 0000-0001-7755-7657 mdkozar@usgs.gov","orcid":"https://orcid.org/0000-0001-7755-7657","contributorId":1963,"corporation":false,"usgs":true,"family":"Kozar","given":"Mark","email":"mdkozar@usgs.gov","middleInitial":"D.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":294089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCoy, Kurt J. 0000-0002-9756-8238 kjmccoy@usgs.gov","orcid":"https://orcid.org/0000-0002-9756-8238","contributorId":1391,"corporation":false,"usgs":true,"family":"McCoy","given":"Kurt","email":"kjmccoy@usgs.gov","middleInitial":"J.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":294088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":294087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Field, Malcolm S.","contributorId":89243,"corporation":false,"usgs":true,"family":"Field","given":"Malcolm","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":294092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pierce, Herbert A.","contributorId":83093,"corporation":false,"usgs":true,"family":"Pierce","given":"Herbert A.","affiliations":[],"preferred":false,"id":294091,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schill, William Bane","contributorId":95970,"corporation":false,"usgs":true,"family":"Schill","given":"William","email":"","middleInitial":"Bane","affiliations":[],"preferred":false,"id":294093,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":294090,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":80995,"text":"ofr20071383 - 2008 - Head Observation Organizer (HObO)","interactions":[],"lastModifiedDate":"2012-02-02T00:14:30","indexId":"ofr20071383","displayToPublicDate":"2008-03-08T00:00:00","publicationYear":"2008","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":"2007-1383","title":"Head Observation Organizer (HObO)","docAbstract":"The Head Observation Organizer, HObO, is a computer program that stores and manages measured ground-water levels. HObO was developed to help ground-water modelers compile, manage, and document water-level data needed to calibrate ground-water models. Well-construction and water-level data from the U.S. Geological Survey National Water Database (NWIS) easily can be imported into HObO from the NWIS web site (NWISWeb). The water-level data can be flagged to determine which data will be included in the calibration data set. The utility program HObO_NWISWeb was developed to simplify the down loading of well and water-level data from NWISWeb. An ArcGIS NWISWeb Extension was developed to retrieve site information from NWISWeb. A tutorial is presented showing the basic elements of HObO.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071383","collaboration":"Prepared in cooperation with the U.S. Department of Energy, \r\nNational Nuclear Security Administration Nevada Site Office under Interagency Agreement, DE-A152-07NA28100","usgsCitation":"Predmore, S., 2008, Head Observation Organizer (HObO): U.S. Geological Survey Open-File Report 2007-1383, Report: v, 68 p.; Installer; Extension, https://doi.org/10.3133/ofr20071383.","productDescription":"Report: v, 68 p.; Installer; Extension","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195031,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10857,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1383/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6be4b07f02db63d401","contributors":{"authors":[{"text":"Predmore, Steven","contributorId":105004,"corporation":false,"usgs":true,"family":"Predmore","given":"Steven","affiliations":[],"preferred":false,"id":294086,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":80994,"text":"ds329 - 2008 - Algal Attributes: An Autecological Classification of Algal Taxa Collected by the National Water-Quality Assessment Program","interactions":[],"lastModifiedDate":"2012-02-02T00:14:24","indexId":"ds329","displayToPublicDate":"2008-03-08T00:00:00","publicationYear":"2008","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":"329","title":"Algal Attributes: An Autecological Classification of Algal Taxa Collected by the National Water-Quality Assessment Program","docAbstract":"Algae are excellent indicators of water-quality conditions, notably nutrient and organic enrichment, and also are indicators of major ion, dissolved oxygen, and pH concentrations and stream microhabitat conditions. The autecology, or physiological optima and tolerance, of algal species for various water-quality contaminants and conditions is relatively well understood for certain groups of freshwater algae, notably diatoms. However, applications of autecological information for water-quality assessments have been limited because of challenges associated with compiling autecological literature from disparate sources, tracking name changes for a large number of algal species, and creating an autecological data base from which algal-indicator metrics can be calculated. A comprehensive summary of algal autecological attributes for North American streams and rivers does not exist. This report describes a large, digital data file containing 28,182 records for 5,939 algal taxa, generally species or variety, collected by the U.S. Geological Survey?s National Water-Quality Assessment (NAWQA) Program. The data file includes 37 algal attributes classified by over 100 algal-indicator codes or metrics that can be calculated easily with readily available software. Algal attributes include qualitative classifications based on European and North American autecological literature, and semi-quantitative, weighted-average regression approaches for estimating optima using regional and national NAWQA data. Applications of algal metrics in water-quality assessments are discussed and national quartile distributions of metric scores are shown for selected indicator metrics.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds329","usgsCitation":"Porter, S.D., 2008, Algal Attributes: An Autecological Classification of Algal Taxa Collected by the National Water-Quality Assessment Program: U.S. Geological Survey Data Series 329, Report: iv, 18 p.; Data Files, https://doi.org/10.3133/ds329.","productDescription":"Report: iv, 18 p.; Data Files","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195572,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10856,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/ds329/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db688112","contributors":{"authors":[{"text":"Porter, Stephen D.","contributorId":16429,"corporation":false,"usgs":true,"family":"Porter","given":"Stephen","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":294085,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":80989,"text":"ofr20071356 - 2008 - Near-shore and off-shore habitat use by endangered juvenile Lost River and Shortnose Suckers in Upper Klamath Lake, Oregon: 2006 data summary","interactions":[],"lastModifiedDate":"2016-08-11T15:54:52","indexId":"ofr20071356","displayToPublicDate":"2008-03-07T00:00:00","publicationYear":"2008","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":"2007-1356","title":"Near-shore and off-shore habitat use by endangered juvenile Lost River and Shortnose Suckers in Upper Klamath Lake, Oregon: 2006 data summary","docAbstract":"

Lost River suckers Deltistes luxatus and shortnose suckers Chasmistes brevirostris , listed as endangered in 1988 under the Endangered Species Act, have shown infrequent recruitment into adult populations in Upper Klamath Lake (NRC 2004). In an effort to understand the causes behind and provide management solutions to apparent recruitment failure, a number of studies have been conducted including several on larval and juvenile sucker habitat use. Near-shore areas in Upper Klamath Lake with emergent vegetation, especially those near the mouth of the Williamson River, were identified as important habitat for larval suckers (Cooperman and Markle 2000; Reiser et al. 2001). Terwilliger et al. (2004) characterized primary age-0 sucker habitat as near-shore areas in the southern portion of Upper Klamath Lake with gravel and cobble substrates. Reiser et al. (2001) provided some evidence that juvenile suckers use habitats with emergent vegetation, but nothing concerning the extent or timing of use.

\n

The U.S. Geological Survey (USGS) began investigating the importance of near-shore and off-shore habitats with and without emergent vegetation for juvenile suckers in 2000. We found substantial numbers of juvenile suckers using these habitats near the mouth of the Williamson River into late August (VanderKooi and Buelow 2003). The distribution and relative abundance of juvenile suckers showed high spatial variability throughout the summer for all species combined, Lost River suckers, and shortnose suckers (VanderKooi et al. 2006; Hendrixson et al. 2007a). Results from sampling near-shore areas in 2002 suggested juvenile sucker proximity to shoreline changes depending on the presence or absence of shoreline vegetation (VanderKooi et al. 2006), whereas in 2004 and 2005 results were equivocal (Hendrixson et al. 2007a, 2007b).

\n

Research by USGS of juvenile suckers in Upper Klamath Lake conducted since 2000 provides a valuable long-term data set which can be used to evaluate multi-year trends in juvenile sucker relative abundance and habitat use. Data on the relative abundance of juvenile suckers and their habitat use patterns will provide valuable information to guide restoration and management decisions in the Upper Klamath Basin. Information on juvenile sucker catch rates may also be valuable for evaluating year class success, estimating early life stage survival rates, and predicting upper bounds of future recruitment to adult spawning populations.

\n

We continued sampling juvenile suckers in 2006 as part of an effort to develop bioenergetics models for juvenile Lost River and shortnose suckers. This study required us to collect fish to determine growth rates and energy content of juvenile suckers. We followed the sampling protocols and methods described by Hendrixson et al. (2007b) to maintain continuity and facilitate comparisons with data collected in recent years, but sampled at a reduced level of effort compared to previous years (approximately one-third) due to limited funding. Here we present a summary of catch data collected in 2006. Bioenergetics models will be reported separately

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071356","usgsCitation":"Burdick, S.M., Wilkens, A.X., and VanderKooi, S., 2008, Near-shore and off-shore habitat use by endangered juvenile Lost River and Shortnose Suckers in Upper Klamath Lake, Oregon: 2006 data summary: U.S. Geological Survey Open-File Report 2007-1356, v, 30 p., https://doi.org/10.3133/ofr20071356.","productDescription":"v, 30 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":190812,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20071356.PNG"},{"id":326418,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1356/pdf/ofr20071356.pdf","size":"297 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":10851,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1356/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.13363647460938,\n 42.18375873465217\n ],\n [\n -122.13363647460938,\n 42.59151063198147\n ],\n [\n -121.74362182617188,\n 42.59151063198147\n ],\n [\n -121.74362182617188,\n 42.18375873465217\n ],\n [\n -122.13363647460938,\n 42.18375873465217\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abae4b07f02db67201c","contributors":{"authors":[{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":294070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilkens, Alexander X.","contributorId":62688,"corporation":false,"usgs":true,"family":"Wilkens","given":"Alexander","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":294071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"VanderKooi, Scott P.","contributorId":106584,"corporation":false,"usgs":true,"family":"VanderKooi","given":"Scott P.","affiliations":[],"preferred":false,"id":294072,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":80991,"text":"ofr20081005 - 2008 - Geomorphic map of Worcester County, Maryland, interpreted from a LIDAR-based, digital elevation model","interactions":[],"lastModifiedDate":"2022-07-07T19:24:37.232653","indexId":"ofr20081005","displayToPublicDate":"2008-03-07T00:00:00","publicationYear":"2008","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":"2008-1005","title":"Geomorphic map of Worcester County, Maryland, interpreted from a LIDAR-based, digital elevation model","docAbstract":"

A recently compiled mosaic of a LIDAR-based digital elevation model (DEM) is presented with geomorphic analysis of new macro-topographic details. The geologic framework of the surficial and near surface late Cenozoic deposits of the central uplands, Pocomoke River valley, and the Atlantic Coast includes Cenozoic to recent sediments from fluvial, estuarine, and littoral depositional environments. Extensive Pleistocene (cold climate) sandy dune fields are deposited over much of the terraced landscape. The macro details from the LIDAR image reveal 2 meter-scale resolution of details of the shapes of individual dunes, and fields of translocated sand sheets. Most terrace surfaces are overprinted with circular to elliptical rimmed basins that represent complex histories of ephemeral ponds that were formed, drained, and overprinted by younger basins. The terrains of composite ephemeral ponds and the dune fields are inter-shingled at their margins indicating contemporaneous erosion, deposition, and re-arrangement and possible internal deformation of the surficial deposits. The aggregate of these landform details and their deposits are interpreted as the products of arid, cold climate processes that were common to the mid-Atlantic region during the Last Glacial Maximum.

In the Pocomoke valley and its larger tributaries, erosional remnants of sandy flood plains with anastomosing channels indicate the dynamics of former hydrology and sediment load of the watershed that prevailed at the end of the Pleistocene. As the climate warmed and precipitation increased during the transition from late Pleistocene to Holocene, dune fields were stabilized by vegetation, and the stream discharge increased. The increased discharge and greater local relief of streams graded to lower sea levels stimulated down cutting and created the deeply incised valleys out onto the continental shelf. These incised valleys have been filling with fluvial to intertidal deposits that record the rising sea level and warmer, more humid climate in the mid-Atlantic region throughout the Holocene. Thus, the geomorphic details provided by the new LIDAR DEM actually record the response of the landscape to abrupt climate change.

Holocene trends and land-use patterns from Colonial to modern times can also be interpreted from the local macro- scale details of the landscape. Beyond the obvious utility of these data for land-use planning and assessments of resources and hazards, the new map presents new details on the impact of climate changes on a mid-latitude, outer Coastal plain landscape.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081005","usgsCitation":"Newell, W., and Clark, I.E., 2008, Geomorphic map of Worcester County, Maryland, interpreted from a LIDAR-based, digital elevation model: U.S. Geological Survey Open-File Report 2008-1005, Report: 34 p.; 2 Plates: 44.00 × 37.00 inches and 60.00 × 36.00 inches, https://doi.org/10.3133/ofr20081005.","productDescription":"Report: 34 p.; 2 Plates: 44.00 × 37.00 inches and 60.00 × 36.00 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190502,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10853,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1005/","linkFileType":{"id":5,"text":"html"}},{"id":403214,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83375.htm"}],"country":"United States","state":"Maryland","county":"Worcester County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.65048217773438,\n 38.01239425385966\n ],\n [\n -75.146484375,\n 38.01239425385966\n ],\n [\n -75.146484375,\n 38.28023506734758\n ],\n [\n -75.65048217773438,\n 38.28023506734758\n ],\n [\n -75.65048217773438,\n 38.01239425385966\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c558","contributors":{"authors":[{"text":"Newell, Wayne L.","contributorId":48538,"corporation":false,"usgs":true,"family":"Newell","given":"Wayne L.","affiliations":[],"preferred":false,"id":294077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Inga E. 0000-0003-0084-0256 iclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-0256","contributorId":3256,"corporation":false,"usgs":true,"family":"Clark","given":"Inga","email":"iclark@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":294076,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":80984,"text":"ofr20081009 - 2008 - Geologic and Geophysical Framework of the Santa Rosa 7.5' Quadrangle, Sonoma County, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:51","indexId":"ofr20081009","displayToPublicDate":"2008-03-06T00:00:00","publicationYear":"2008","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":"2008-1009","title":"Geologic and Geophysical Framework of the Santa Rosa 7.5' Quadrangle, Sonoma County, California","docAbstract":"The geologic and geophysical maps of Santa Rosa 7.5? quadrangle and accompanying structure sections portray the sedimentary and volcanic stratigraphy and crustal structure of the Santa Rosa 7.5? quadrangle and provide a context for interpreting the evolution of volcanism and active faulting in this region. The quadrangle is located in the California Coast Ranges north of San Francisco Bay and is traversed by the active Rodgers Creek, Healdsburg and Maacama Fault Zones. The geologic and geophysical data presented in this report, are substantial improvements over previous geologic and geophysical maps of the Santa Rosa area, allowing us to address important geologic issues. First, the geologic mapping is integrated with gravity and magnetic data, allowing us to depict the thicknesses of Cenozoic deposits, the depth and configuration of the Mesozoic basement surface, and the geometry of fault structures beneath this region to depths of several kilometers. This information has important implications for constraining the geometries of major active faults and for understanding and predicting the distribution and intensity of damage from ground shaking during earthquakes. Secondly, the geologic map and the accompanying description of the area describe in detail the distribution, geometry and complexity of faulting associated with the Rodgers Creek, Healdsburg and Bennett Valley Fault Zones and associated faults in the Santa Rosa quadrangle. The timing of fault movements is constrained by new 40Ar/39Ar ages and tephrochronologic correlations. These new data provide a better understanding of the stratigraphy of the extensive sedimentary and volcanic cover in the area and, in particular, clarify the formational affinities of Pliocene and Pleistocene nonmarine sedimentary units in the map area. Thirdly, the geophysics, particularly gravity data, indicate the locations of thick sections of sedimentary and volcanic fill within ground water basins of the Santa Rosa plain and Rincon, Bennett, and northwestern Sonoma Valleys, providing geohydrologists a more realistic framework for groundwater flow models.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081009","usgsCitation":"McLaughlin, R.J., Langenheim, V., Sarna-Wojcicki, A., Fleck, R., McPhee, D., Roberts, C.W., McCabe, C., and Wan, E., 2008, Geologic and Geophysical Framework of the Santa Rosa 7.5' Quadrangle, Sonoma County, California (Version 1.0): U.S. Geological Survey Open-File Report 2008-1009, Report: iv, 51 p.; 3 Sheets: each 54 x 36 inches; Data Files, https://doi.org/10.3133/ofr20081009.","productDescription":"Report: iv, 51 p.; 3 Sheets: each 54 x 36 inches; Data Files","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":647,"text":"Western Earth Surface Processes","active":false,"usgs":true}],"links":[{"id":193359,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10845,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1009/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.75,38.25 ], [ -122.75,38.5 ], [ -122.5,38.5 ], [ -122.5,38.25 ], [ -122.75,38.25 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b17e4b07f02db6a639d","contributors":{"authors":[{"text":"McLaughlin, R. J. 0000-0002-4390-2288","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":107271,"corporation":false,"usgs":true,"family":"McLaughlin","given":"R.","middleInitial":"J.","affiliations":[],"preferred":false,"id":294055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langenheim, V.E. 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":54956,"corporation":false,"usgs":true,"family":"Langenheim","given":"V.E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":294050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sarna-Wojcicki, A.M. 0000-0002-0244-9149","orcid":"https://orcid.org/0000-0002-0244-9149","contributorId":104022,"corporation":false,"usgs":true,"family":"Sarna-Wojcicki","given":"A.M.","affiliations":[],"preferred":false,"id":294054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleck, R.J.","contributorId":25147,"corporation":false,"usgs":true,"family":"Fleck","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":294049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McPhee, D.K.","contributorId":96775,"corporation":false,"usgs":true,"family":"McPhee","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":294053,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roberts, C. W.","contributorId":61816,"corporation":false,"usgs":true,"family":"Roberts","given":"C.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":294051,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCabe, C.A.","contributorId":88037,"corporation":false,"usgs":true,"family":"McCabe","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":294052,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wan, Elmira 0000-0002-9255-112X ewan@usgs.gov","orcid":"https://orcid.org/0000-0002-9255-112X","contributorId":3434,"corporation":false,"usgs":true,"family":"Wan","given":"Elmira","email":"ewan@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":294048,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":80981,"text":"sir20075250 - 2008 - Private Domestic-Well Characteristics and the Distribution of Domestic Withdrawals among Aquifers in the Virginia Coastal Plain","interactions":[],"lastModifiedDate":"2012-03-08T17:16:26","indexId":"sir20075250","displayToPublicDate":"2008-03-06T00:00:00","publicationYear":"2008","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":"2007-5250","title":"Private Domestic-Well Characteristics and the Distribution of Domestic Withdrawals among Aquifers in the Virginia Coastal Plain","docAbstract":"A comprehensive analysis of private domestic wells and self-supplied domestic ground-water withdrawals in the Coastal Plain Physiographic Province of Virginia indicates that the magnitudes of these withdrawals and their effects on local and regional ground-water flow are larger and more important than previous reports have stated. Self-supplied ground-water withdrawals for domestic use in the Virginia Coastal Plain are estimated to be approximately 40 million gallons per day, or about 28 percent of all ground-water withdrawals in the area. Contrary to widely held assumptions, only 22 percent of domestic wells in the Virginia Coastal Plain are completed in the shallow, unconfined surficial aquifer to which the water is returned directly by home septic systems. Fifty-three percent of the wells are completed in six deeper confined aquifers, and the remaining 25 percent are completed in the Potomac aquifer and confining zone, the deepest units in the confined system. Assuming an equal rate of withdrawal per well, 78 percent of domestic ground-water withdrawal, or about 30 million gallons per day, is removed from the regional confined ground-water system.\r\n\r\nDomestic ground-water withdrawal from an estimated 200,000 private wells supplies more than 15 percent of the population of the area and provides almost the entire source of water in some rural counties. The geographic distribution of these withdrawals is dependent on the self-supplied population and is highly variable. Domestic-well characteristics vary spatially as well, primarily because of geographic differences in depths to particular aquifers, but also because of well-drilling practices that are influenced by geographic, regulatory, and socioeconomic factors.\r\n\r\nDomestic ground-water withdrawals in the Virginia Coastal Plain were characterized as part of a larger study to analyze the regional ground-water flow system. Characterizing the withdrawals required differentiation of the withdrawals among the aquifers in the area in addition to determination of the geographic distribution of the withdrawals. Because of a lack of comprehensive data on private-well construction and distribution, a sample of private domestic-well records was used to estimate well characteristics and approximate the proportion of wells and withdrawals associated with each aquifer. Construction data on 2,846 private domestic wells were collected from 29 counties and independent cities (localities) having appreciable self-supplied populations and representing private domestic withdrawals of about 31 million gallons per day. Within each locality, geographically stratified random sampling of well records by tax plat characterized details of well construction for the population of domestic wells. Because neither specific location data nor aquifer elevations were available for individual wells, the primary aquifer in which each well is completed was estimated by cross-referencing the screen elevation estimated from the well record with a generalized configuration of hydrogeologic units underlying the locality in which the well is located. For each locality, summarizing the results of this process allowed the determination of the proportion of wells and withdrawals associated with each aquifer.\r\n\r\nAdditional evaluation of spatial data was used to apply the domestic withdrawal rates developed for each aquifer in each locality to a detailed ground-water study of the portion of the Virginia Coastal Plain east of the Chesapeake Bay, which is known as the Eastern Shore Peninsula. Because domestic withdrawal estimates are based on the self-supplied population, the geographic distribution of withdrawals within each of the Eastern Shore counties was estimated by using population data from the 2000 U.S. Census at the resolution of census block groups and further refining the distribution based on road density. The allocation of withdrawals among aquifers was then determined by cross-referencing the spatial distribut","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075250","usgsCitation":"Pope, J.P., McFarland, R.E., and Banks, R.B., 2008, Private Domestic-Well Characteristics and the Distribution of Domestic Withdrawals among Aquifers in the Virginia Coastal Plain: U.S. Geological Survey Scientific Investigations Report 2007-5250, vi, 49 p., https://doi.org/10.3133/sir20075250.","productDescription":"vi, 49 p.","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":195434,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10842,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5250/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.25,36.166666666666664 ], [ -78.25,39.166666666666664 ], [ -75,39.166666666666664 ], [ -75,36.166666666666664 ], [ -78.25,36.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db68a00d","contributors":{"authors":[{"text":"Pope, Jason P. 0000-0003-3199-993X jpope@usgs.gov","orcid":"https://orcid.org/0000-0003-3199-993X","contributorId":2044,"corporation":false,"usgs":true,"family":"Pope","given":"Jason","email":"jpope@usgs.gov","middleInitial":"P.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":294041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McFarland, Randolph E.","contributorId":93879,"corporation":false,"usgs":true,"family":"McFarland","given":"Randolph","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":294043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Banks, R. Brent","contributorId":68000,"corporation":false,"usgs":true,"family":"Banks","given":"R.","email":"","middleInitial":"Brent","affiliations":[],"preferred":false,"id":294042,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":80985,"text":"ofr20081094 - 2008 - Chemical Analyses of Pre-Holocene Rocks from Medicine Lake Volcano and Vicinity, Northern California","interactions":[],"lastModifiedDate":"2019-03-14T10:52:35","indexId":"ofr20081094","displayToPublicDate":"2008-03-06T00:00:00","publicationYear":"2008","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":"2008-1094","title":"Chemical Analyses of Pre-Holocene Rocks from Medicine Lake Volcano and Vicinity, Northern California","docAbstract":"Chemical analyses are presented in an accompanying table (Table 1) for more than 600 pre-Holocene rocks collected at and near Medicine Lake Volcano, northern California. The data include major-element X-ray fluorescence (XRF) analyses for all of the rocks plus XRF trace element data for most samples, and instrumental neutron activation analysis (INAA) trace element data for many samples. In addition, a limited number of analyses of Na2O and K2O by flame photometry (FP) are included as well assome wet chemical analyses of FeO, H2O+/-, and CO2. Latitude and longitude location information is provided for all samples. This data set is intended to accompany the geologic map of Medicine Lake Volcano (Donnelly-Nolan, in press); map unit designations are given for each sample collected from the map area.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081094","usgsCitation":"Donnelly-Nolan, J.M., 2008, Chemical Analyses of Pre-Holocene Rocks from Medicine Lake Volcano and Vicinity, Northern California (Version 1.0): U.S. Geological Survey Open-File Report 2008-1094, Report: 9 p.; Data, https://doi.org/10.3133/ofr20081094.","productDescription":"Report: 9 p.; Data","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":195105,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10847,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1094/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123,41.11666666666667 ], [ -123,42 ], [ -121.11749999999999,42 ], [ -121.11749999999999,41.11666666666667 ], [ -123,41.11666666666667 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64ae82","contributors":{"authors":[{"text":"Donnelly-Nolan, Julie M. 0000-0001-8714-9606 jdnolan@usgs.gov","orcid":"https://orcid.org/0000-0001-8714-9606","contributorId":3271,"corporation":false,"usgs":true,"family":"Donnelly-Nolan","given":"Julie","email":"jdnolan@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":294056,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":80971,"text":"ds271 - 2008 - Compilation of Stratigraphic Thicknesses for Caldera-Related Tertiary Volcanic Rocks, East-Central Nevada and West-Central Utah","interactions":[],"lastModifiedDate":"2012-02-10T00:11:51","indexId":"ds271","displayToPublicDate":"2008-03-01T00:00:00","publicationYear":"2008","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":"271","title":"Compilation of Stratigraphic Thicknesses for Caldera-Related Tertiary Volcanic Rocks, East-Central Nevada and West-Central Utah","docAbstract":"The U.S. Geological Survey (USGS), the Desert Research Institute (DRI), and a designee from the State of Utah are currently conducting a water-resources study of aquifers in White Pine County, Nevada, and adjacent areas in Nevada and Utah, in response to concerns about water availability and limited geohydrologic information relevant to ground-water flow in the region. Production of ground water in this region could impact water accumulations in three general types of aquifer materials: consolidated Paleozoic carbonate bedrock, and basin-filling Cenozoic volcanic rocks and unconsolidated Quaternary sediments. At present, the full impact of extracting ground water from any or all of these potential valley-graben reservoirs is not fully understood. A thorough understanding of intermontane basin stratigraphy, mostly concealed by the youngest unconsolidated deposits that blanket the surface in these valleys, is critical to an understanding of the regional hydrology in this area. This report presents a literature-based compilation of geologic data, especially thicknesses and lithologic characteristics, for Tertiary volcanic rocks that are presumably present in the subsurface of the intermontane valleys, which are prominent features of this area.\r\n\r\nTwo methods are used to estimate volcanic-rock thickness beneath valleys: (1) published geologic maps and accompanying descriptions of map units were used to compile the aggregate thicknesses of Tertiary stratigraphic units present in each mountain range within the study areas, and then interpolated to infer volcanic-rock thickness in the intervening valley, and (2) published isopach maps for individual out-flow ash-flow tuff were converted to digital spatial data and thickness was added together to produce a regional thickness map that aggregates thickness of the individual units. The two methods yield generally similar results and are similar to volcanic-rock thickness observed in a limited number of oil and gas exploration drill holes in the region, although local geologic complexity and the inherent assumptions in both methods allow only general comparison. These methods serve the needs of regional ground-water studies that require a three-dimensional depiction of the extent and thickness of subsurface geologic units. The compilation of geologic data from published maps and reports provides a general understanding of the distribution and thickness of tuffs that are presumably present in the subsurface of the intermontane valleys and are critical to understanding the ground-water hydrology of this area.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds271","isbn":"9781411318618","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Sweetkind, D.S., and Du Bray, E., 2008, Compilation of Stratigraphic Thicknesses for Caldera-Related Tertiary Volcanic Rocks, East-Central Nevada and West-Central Utah (Version 1.0): U.S. Geological Survey Data Series 271, Report: iv, 40 p.; Downloads Directory; Also available on CD-ROM, https://doi.org/10.3133/ds271.","productDescription":"Report: iv, 40 p.; Downloads Directory; Also available on CD-ROM","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194350,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10832,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/271/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.02057,36.742625 ], [ -117.02057,40.121566 ], [ -111.60399,40.121566 ], [ -111.60399,36.742625 ], [ -117.02057,36.742625 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ee4b07f02db6aa03a","contributors":{"authors":[{"text":"Sweetkind, D. S.","contributorId":61507,"corporation":false,"usgs":true,"family":"Sweetkind","given":"D.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":294000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Du Bray, E. A.","contributorId":22333,"corporation":false,"usgs":true,"family":"Du Bray","given":"E. A.","affiliations":[],"preferred":false,"id":293999,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":80976,"text":"pp1745 - 2008 - Ecosystem Services Derived from Wetland Conservation Practices in the United States Prairie Pothole Region with an Emphasis on the U.S. Department of Agriculture Conservation Reserve and Wetlands Reserve Programs","interactions":[],"lastModifiedDate":"2017-10-26T11:03:15","indexId":"pp1745","displayToPublicDate":"2008-03-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1745","title":"Ecosystem Services Derived from Wetland Conservation Practices in the United States Prairie Pothole Region with an Emphasis on the U.S. Department of Agriculture Conservation Reserve and Wetlands Reserve Programs","docAbstract":"Implementation of the U.S. Department of Agriculture (USDA) Conservation Reserve Program (CRP) and Wetlands Reserve Program (WRP) has resulted in the restoration of approximately 2,200,000 ha (5,436,200 acres) of wetland and grassland habitats in the Prairie Pothole Region. These restored habitats are known to provide various ecosystem services; however, little work has been conducted to quantify and verify benefits on program lands (lands enrolled in the CRP and WRP) in agriculturally dominated landscapes of the Prairie Pothole Region. To address this need, the U.S. Geological Survey (USGS), in collaboration with the USDA Farm Service Agency and Natural Resources Conservation Service, initiated a study to develop and apply approaches to quantify changes in ecosystem services resulting from wetland restoration activities funded by the USDA. To accomplish this goal, the USGS conducted a comprehensive, stratified survey of 204 catchments (wetland and surrounding uplands contributing runoff to the wetland) in 1997 and 270 catchments in 2004 to gather data necessary for estimating various ecosystem services. In 1997 and 2004, the surveys included catchments with seasonal and semipermanent wetlands that were restored as part of USDA conservation programs, as well as nonprogram catchments in native prairie. Additionally, in 2004 data collection was expanded to include temporary wetlands for all treatments and nonprogram cropped catchments for all wetland classes: temporary, seasonal, and semipermanent. A key element in the sample design is that catchments span an alteration gradient ranging from highly altered, such as cropland, to minimally altered, such as native prairie. Therefore, we evaluated restoration programs by comparing changes in program (restored) catchments to nonprogram (cropland and native prairie) catchments. Information collected during both surveys included easily measured soil, vegetation, and morphological variables that were used to estimate the following ecosystem services: plant community quality and richness, carbon sequestration, floodwater storage, sediment and nutrient reduction, and potential wildlife habitat suitability. In this report, we evaluate the extent that these ecosystem services changed in restored wetlands relative to cropland and native prairie baselines. In most cases, our results indicate restoration activities funded by the USDA have positively influenced ecosystem services in comparison to a cropped wetland baseline; however, most benefits were only considered at a site-specific scale, and better quantification of off-site benefits associated with conservation programs will require detailed spatial data on all land areas enrolled in conservation programs.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/pp1745","isbn":"9781411320178","usgsCitation":"Gleason, R.A., Laubhan, M.K., and Euliss, N.H., 2008, Ecosystem Services Derived from Wetland Conservation Practices in the United States Prairie Pothole Region with an Emphasis on the U.S. Department of Agriculture Conservation Reserve and Wetlands Reserve Programs (Version 1.0): U.S. Geological Survey Professional Paper 1745, 58 p., https://doi.org/10.3133/pp1745.","productDescription":"58 p.","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190959,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10837,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1745/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db625987","contributors":{"authors":[{"text":"Gleason, Robert A. 0000-0001-5308-8657 rgleason@usgs.gov","orcid":"https://orcid.org/0000-0001-5308-8657","contributorId":2402,"corporation":false,"usgs":true,"family":"Gleason","given":"Robert","email":"rgleason@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":294023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laubhan, Murray K.","contributorId":100324,"corporation":false,"usgs":true,"family":"Laubhan","given":"Murray","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":294025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euliss, Ned H. Jr. ceuliss@usgs.gov","contributorId":2916,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","suffix":"Jr.","email":"ceuliss@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":294024,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":80962,"text":"sir20075216 - 2008 - Estimating Water Fluxes Across the Sediment-Water Interface in the Lower Merced River, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:47","indexId":"sir20075216","displayToPublicDate":"2008-02-26T00:00:00","publicationYear":"2008","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":"2007-5216","title":"Estimating Water Fluxes Across the Sediment-Water Interface in the Lower Merced River, California","docAbstract":"The lower Merced River Basin was chosen by the U.S. Geological Survey?s (USGS) National Water Quality Assessment Program (NAWQA) to be included in a national study on how hydrological processes and agricultural practices interact to affect the transport and fate of agricultural chemicals. As part of this effort, surface-water?ground-water (sw?gw) interactions were studied in an instrumented 100-m reach on the lower Merced River. This study focused on estimating vertical rates of exchange across the sediment?water interface by direct measurement using seepage meters and by using temperature as a tracer coupled with numerical modeling. Temperature loggers and pressure transducers were placed in monitoring wells within the streambed and in the river to continuously monitor temperature and hydraulic head every 15 minutes from March 2004 to October 2005. One-dimensional modeling of heat and water flow was used to interpret the temperature and head observations and deduce the sw?gw fluxes using the USGS numerical model, VS2DH, which simulates variably saturated water flow and solves the energy transport equation. Results of the modeling effort indicate that the Merced River at the study reach is generally a slightly gaining stream with small head differences (cm) between the surface water and ground water, with flow reversals occurring during high streamflow events. The average vertical flux across the sediment?water interface was 0.4?2.2 cm/day, and the range of hydraulic conductivities was 1?10 m/day. Seepage meters generally failed to provide accurate data in this high-energy system because of slow seepage rates and a moving streambed resulting in scour or burial of the seepage meters. Estimates of streambed hydraulic conductivity were also made using grain-size analysis and slug tests. Estimated hydraulic conductivity for the upstream transect determined using slug tests ranged from 40 to 250 m/day, whereas the downstream transect ranged from 10 to 100 m/day. The range in variability was a result of position along each transect. A relative percent difference was used to describe the variability in estimates of hydraulic conductivity by grain-size analysis and slug test. Variability in applied methods at the upstream transect ranged from 0 to 9 percent, whereas the downstream transect showed greater variability, with a range of 80 to 133 percent.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075216","usgsCitation":"Zamora, C., 2008, Estimating Water Fluxes Across the Sediment-Water Interface in the Lower Merced River, California: U.S. Geological Survey Scientific Investigations Report 2007-5216, x, 48 p., https://doi.org/10.3133/sir20075216.","productDescription":"x, 48 p.","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195379,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10824,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5216/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121,37.333333333333336 ], [ -121,37.68333333333333 ], [ -120.25,37.68333333333333 ], [ -120.25,37.333333333333336 ], [ -121,37.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db686588","contributors":{"authors":[{"text":"Zamora, Celia 0000-0003-1456-4360 czamora@usgs.gov","orcid":"https://orcid.org/0000-0003-1456-4360","contributorId":1514,"corporation":false,"usgs":true,"family":"Zamora","given":"Celia","email":"czamora@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":293980,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":80964,"text":"ofr20081001 - 2008 - Preliminary integrated geologic map databases for the United States: Digital data for the reconnaissance geologic map for the Kuskokwim Bay region of southwest Alaska","interactions":[],"lastModifiedDate":"2025-08-21T16:55:28.838765","indexId":"ofr20081001","displayToPublicDate":"2008-02-26T00:00:00","publicationYear":"2008","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":"2008-1001","title":"Preliminary integrated geologic map databases for the United States: Digital data for the reconnaissance geologic map for the Kuskokwim Bay region of southwest Alaska","docAbstract":"INTRODUCTION\r\n\r\nThe growth in the use of Geographic Information Systems (GIS) has highlighted the need for digital geologic maps that have been attributed with information about age and lithology. Such maps can be conveniently used to generate derivative maps for manifold special purposes such as mineral-resource assessment, metallogenic studies, tectonic studies, and environmental research. This report is part of a series of integrated geologic map databases that cover the entire United States.\r\n\r\nThree national-scale geologic maps that portray most or all of the United States already exist; for the conterminous U.S., King and Beikman (1974a,b) compiled a map at a scale of 1:2,500,000, Beikman (1980) compiled a map for Alaska at 1:2,500,000 scale, and for the entire U.S., Reed and others (2005a,b) compiled a map at a scale of 1:5,000,000. A digital version of the King and Beikman map was published by Schruben and others (1994). Reed and Bush (2004) produced a digital version of the Reed and others (2005a) map for the conterminous U.S. The present series of maps is intended to provide the next step in increased detail. State geologic maps that range in scale from 1:100,000 to 1:1,000,000 are available for most of the country, and digital versions of these state maps are the basis of this product.\r\n\r\nThe digital geologic maps presented here are in a standardized format as ARC/INFO export files and as ArcView shape files. Data tables that relate the map units to detailed lithologic and age information accompany these GIS files. The map is delivered as a set 1:250,000-scale quadrangle files. To the best of our ability, these quadrangle files are edge-matched with respect to geology. When the maps are merged, the combined attribute tables can be used directly with the merged maps to make derivative maps.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081001","usgsCitation":"2008, Preliminary integrated geologic map databases for the United States: Digital data for the reconnaissance geologic map for the Kuskokwim Bay region of southwest Alaska (Version 1.0): U.S. Geological Survey Open-File Report 2008-1001, HTML Document, https://doi.org/10.3133/ofr20081001.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":658,"text":"Western Mineral Resources","active":false,"usgs":true}],"links":[{"id":10826,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1001/","linkFileType":{"id":5,"text":"html"}},{"id":389243,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83327.htm","linkFileType":{"id":5,"text":"html"}},{"id":195429,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kuskokwim Bay Region","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -174,56.4 ], [ -174,61 ], [ -158,61 ], [ -158,56.4 ], [ -174,56.4 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d648","contributors":{"compilers":[{"text":"Wilson, Frederic H. 0000-0003-1761-6437 fwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1761-6437","contributorId":67174,"corporation":false,"usgs":true,"family":"Wilson","given":"Frederic","email":"fwilson@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":697567,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Hults, Chad P. chults@usgs.gov","contributorId":1930,"corporation":false,"usgs":true,"family":"Hults","given":"Chad","email":"chults@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":false,"id":697568,"contributorType":{"id":3,"text":"Compilers"},"rank":2},{"text":"Mohadjer, Solmaz","contributorId":61518,"corporation":false,"usgs":true,"family":"Mohadjer","given":"Solmaz","email":"","affiliations":[],"preferred":false,"id":697569,"contributorType":{"id":3,"text":"Compilers"},"rank":3},{"text":"Coonrad, Warren L.","contributorId":47481,"corporation":false,"usgs":true,"family":"Coonrad","given":"Warren","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":697570,"contributorType":{"id":3,"text":"Compilers"},"rank":4},{"text":"Shew, Nora B. 0000-0003-0025-7220 nshew@usgs.gov","orcid":"https://orcid.org/0000-0003-0025-7220","contributorId":3382,"corporation":false,"usgs":true,"family":"Shew","given":"Nora","email":"nshew@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":697571,"contributorType":{"id":3,"text":"Compilers"},"rank":5},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":2097,"corporation":false,"usgs":true,"family":"Labay","given":"Keith A.","email":"klabay@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":false,"id":697572,"contributorType":{"id":3,"text":"Compilers"},"rank":6}]}} ,{"id":80967,"text":"ofr20081002 - 2008 - Preliminary integrated geologic map databases for the United States: Digital data for the reconnaissance geologic map for Prince William Sound and the Kenai Peninsula, Alaska","interactions":[],"lastModifiedDate":"2025-08-21T16:53:46.983521","indexId":"ofr20081002","displayToPublicDate":"2008-02-26T00:00:00","publicationYear":"2008","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":"2008-1002","title":"Preliminary integrated geologic map databases for the United States: Digital data for the reconnaissance geologic map for Prince William Sound and the Kenai Peninsula, Alaska","docAbstract":"

The growth in the use of Geographic Information Systems (GIS) has highlighted the need for digital geologic maps that have been attributed with information about age and lithology. Such maps can be conveniently used to generate derivative maps for manifold special purposes such as mineral-resource assessment, metallogenic studies, tectonic studies, and environmental research. This report is part of a series of integrated geologic map databases that cover the entire United States. Three national-scale geologic maps that portray most or all of the United States already exist; for the conterminous U.S., King and Beikman (1974a,b) compiled a map at a scale of 1:2,500,000, Beikman (1980) compiled a map for Alaska at 1:2,500,000 scale, and for the entire U.S., Reed and others (2005a,b) compiled a map at a scale of 1:5,000,000. A digital version of the King and Beikman map was published by Schruben and others (1994). Reed and Bush (2004) produced a digital version of the Reed and others (2005a) map for the conterminous U.S. The present series of maps is intended to provide the next step in increased detail. State geologic maps that range in scale from 1:100,000 to 1:1,000,000 are available for most of the country, and digital versions of these state maps are the basis of this product. The digital geologic maps presented here are in a standardized format as ARC/INFO export files and as ArcView shape files. The files named __geol contain geologic polygons and line (contact) attributes; files named __fold contain fold axes; files named __lin contain lineaments; and files named __dike contain dikes as lines. Data tables that relate the map units to detailed lithologic and age information accompany these GIS files. The map is delivered as a set 1:250,000-scale quadrangle files. To the best of our ability, these quadrangle files are edge-matched with respect to geology. When the maps are merged, the combined attribute tables can be used directly with the merged maps to make derivative maps.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081002","usgsCitation":"2008, Preliminary integrated geologic map databases for the United States: Digital data for the reconnaissance geologic map for Prince William Sound and the Kenai Peninsula, Alaska (Version 1.0): U.S. Geological Survey Open-File Report 2008-1002, ReadMe: 22 p.; Data Files; Map; Metadata, https://doi.org/10.3133/ofr20081002.","productDescription":"ReadMe: 22 p.; Data Files; Map; Metadata","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":658,"text":"Western Mineral Resources","active":false,"usgs":true}],"links":[{"id":195555,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10827,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1002/","linkFileType":{"id":5,"text":"html"}},{"id":420174,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83328.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai Peninsula, Prince William Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -153,59 ], [ -153,61 ], [ -144,61 ], [ -144,59 ], [ -153,59 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d647","contributors":{"compilers":[{"text":"Wilson, Frederic H. 0000-0003-1761-6437 fwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1761-6437","contributorId":67174,"corporation":false,"usgs":true,"family":"Wilson","given":"Frederic","email":"fwilson@usgs.gov","middleInitial":"H.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":697573,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Hults, Chad P. chults@usgs.gov","contributorId":1930,"corporation":false,"usgs":true,"family":"Hults","given":"Chad","email":"chults@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":false,"id":697574,"contributorType":{"id":3,"text":"Compilers"},"rank":2},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":2097,"corporation":false,"usgs":true,"family":"Labay","given":"Keith A.","email":"klabay@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":false,"id":697575,"contributorType":{"id":3,"text":"Compilers"},"rank":3},{"text":"Shew, Nora B. 0000-0003-0025-7220 nshew@usgs.gov","orcid":"https://orcid.org/0000-0003-0025-7220","contributorId":3382,"corporation":false,"usgs":true,"family":"Shew","given":"Nora","email":"nshew@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":697576,"contributorType":{"id":3,"text":"Compilers"},"rank":4}]}} ,{"id":80954,"text":"sir20075212 - 2008 - Real-Time and Delayed Analysis of Tree and Shrub Cores as Indicators of Subsurface Volatile Organic Compound Contamination, Durham Meadows Superfund Site, Durham, Connecticut, August 29, 2006","interactions":[],"lastModifiedDate":"2012-03-08T17:16:22","indexId":"sir20075212","displayToPublicDate":"2008-02-23T00:00:00","publicationYear":"2008","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":"2007-5212","title":"Real-Time and Delayed Analysis of Tree and Shrub Cores as Indicators of Subsurface Volatile Organic Compound Contamination, Durham Meadows Superfund Site, Durham, Connecticut, August 29, 2006","docAbstract":"This study examined volatile organic compound concentrations in cores from trees and shrubs for use as indicators of vadose-zone contamination or potential vapor intrusion by volatile organic compounds into buildings at the Durham Meadows Superfund Site, Durham, Connecticut. The study used both (1) real-time tree- and shrub-core analysis, which involved field heating the core samples for 5 to 10 minutes prior to field analysis, and (2) delayed analysis, which involved allowing the gases in the cores to equilibrate with the headspace gas in the sample vials unheated for 1 to 2 days prior to analysis. General correspondence was found between the two approaches, indicating that preheating and field analysis of vegetation cores is a viable approach to real-time monitoring of subsurface volatile organic compounds. In most cases, volatile organic compounds in cores from trees and shrubs at the Merriam Manufacturing Company property showed a general correspondence to the distribution of volatile organic compounds detected in a soil-gas survey, despite the fact that most of the soil-gas survey data in close proximity to the relevant trees were collected about 3 years prior to the tree-core collection. Most of the trees cored at the Durham Meadows Superfund Site, outside of the Merriam Manufacturing Company property, contained no volatile organic compounds and were in areas where indoor air sampling and soil-gas sampling showed little or no volatile organic compound concentrations. An exception was tree DM11, which contained barely detectable concentrations of trichloroethene near a house where previous investigations found low concentrations of trichloroethene (0.13 to 1.2 parts per billion by volume) in indoor air and 7.7 micrograms per liter of trichloroethene in the ground water. The barely detectable concentration of trichloroethene in tree DM11 and the lack of volatile organic compound detection in nearby tree DM10 (adjacent to the well having 7.7 micrograms of trichloroethene) may be attributable to the relatively large depth to water (17.6 feet), the relatively low soil-vapor trichloroethene concentration, and the large amount of rainfall during and preceding the tree-coring event. The data indicate that real-time and delayed analyses of tree cores are viable approaches to examining subsurface volatile organic compound soil-gas or vadose-zone contamination at the Durham Meadows Superfund Site and other similar sites. Thus, the methods may have application for determining the potential for vapor intrusion into buildings.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075212","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Vroblesky, D.A., Willey, R.E., Clifford, S., and Murphy, J.J., 2008, Real-Time and Delayed Analysis of Tree and Shrub Cores as Indicators of Subsurface Volatile Organic Compound Contamination, Durham Meadows Superfund Site, Durham, Connecticut, August 29, 2006: U.S. Geological Survey Scientific Investigations Report 2007-5212, iv, 13 p., https://doi.org/10.3133/sir20075212.","productDescription":"iv, 13 p.","onlineOnly":"Y","temporalStart":"2006-08-29","temporalEnd":"2006-08-29","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":190730,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10812,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5212/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad6e4b07f02db683eb0","contributors":{"authors":[{"text":"Vroblesky, Don A. vroblesk@usgs.gov","contributorId":413,"corporation":false,"usgs":true,"family":"Vroblesky","given":"Don","email":"vroblesk@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":293951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willey, Richard E.","contributorId":30972,"corporation":false,"usgs":true,"family":"Willey","given":"Richard","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":293952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clifford, Scott","contributorId":63042,"corporation":false,"usgs":true,"family":"Clifford","given":"Scott","email":"","affiliations":[],"preferred":false,"id":293953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, James J.","contributorId":96776,"corporation":false,"usgs":true,"family":"Murphy","given":"James","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":293954,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":80951,"text":"ofr20071349 - 2008 - Retrospective Review of Watershed Characteristics and a Framework for Future Research in the Sarasota Bay Watershed, Florida","interactions":[],"lastModifiedDate":"2012-02-02T00:14:32","indexId":"ofr20071349","displayToPublicDate":"2008-02-21T00:00:00","publicationYear":"2008","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":"2007-1349","title":"Retrospective Review of Watershed Characteristics and a Framework for Future Research in the Sarasota Bay Watershed, Florida","docAbstract":"The U.S. Geological Survey, in cooperation with the Sarasota Bay Estuary Program conducted a retrospective review of characteristics of the Sarasota Bay watershed in west-central Florida. This report describes watershed characteristics, surface- and ground-water processes, and the environmental setting of the Sarasota Bay watershed.\r\n\r\nPopulation growth during the last 50 years is transforming the Sarasota Bay watershed from rural and agriculture to urban and suburban. The transition has resulted in land-use changes that influence surface- and ground-water processes in the watershed. Increased impervious cover decreases recharge to ground water and increases overland runoff and the pollutants carried in the runoff. Soil compaction resulting from agriculture, construction, and recreation activities also decreases recharge to ground water.\r\n\r\nConventional approaches to stormwater runoff have involved conveyances and large storage areas. Low-impact development approaches, designed to provide recharge near the precipitation point-of-contact, are being used increasingly in the watershed.\r\n\r\nSimple pollutant loading models applied to the Sarasota Bay watershed have focused on large-scale processes and pollutant loads determined from empirical values and mean event concentrations. Complex watershed models and more intensive data-collection programs can provide the level of information needed to quantify (1) the effects of lot-scale land practices on runoff, storage, and ground-water recharge, (2) dry and wet season flux of nutrients through atmospheric deposition, (3) changes in partitioning of water and contaminants as urbanization alters predevelopment rainfall-runoff relations, and (4) linkages between watershed models and lot-scale models to evaluate the effect of small-scale changes over the entire Sarasota Bay watershed. As urbanization in the Sarasota Bay watershed continues, focused research on water-resources issues can provide information needed by water-resources managers to ensure the future health of the watershed.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071349","collaboration":"Prepared in cooperation with Sarasota Bay Estuary Program","usgsCitation":"Kish, G.R., Harrison, A.S., and Alderson, M., 2008, Retrospective Review of Watershed Characteristics and a Framework for Future Research in the Sarasota Bay Watershed, Florida: U.S. Geological Survey Open-File Report 2007-1349, vi, 49 p., https://doi.org/10.3133/ofr20071349.","productDescription":"vi, 49 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":195246,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10809,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1349/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685b8c","contributors":{"authors":[{"text":"Kish, George R. gkish@usgs.gov","contributorId":1329,"corporation":false,"usgs":true,"family":"Kish","given":"George","email":"gkish@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":293942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Arnell S. 0000-0002-5581-2255","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":35021,"corporation":false,"usgs":true,"family":"Harrison","given":"Arnell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":293944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alderson, Mark","contributorId":22060,"corporation":false,"usgs":true,"family":"Alderson","given":"Mark","email":"","affiliations":[],"preferred":false,"id":293943,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156773,"text":"70156773 - 2008 - Gathering, organizing, and accessing data for use in bird conservation across the Americas","interactions":[],"lastModifiedDate":"2021-11-05T16:06:34.940005","indexId":"70156773","displayToPublicDate":"2008-02-16T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Gathering, organizing, and accessing data for use in bird conservation across the Americas","docAbstract":"

The U.S. North American Bird Conservation Initiative (NABCI) Monitoring Subcommittee (2007) identified the need for a comprehensive plan for integrating and managing bird population monitoring data, and to adapt this as an integral component for improving monitoring activities across North America. While the Subcommittee provided a basic framework to begin development of this data management strategy, input from stakeholders is needed to identify data management needs and the technical capacity necessary to solve those challenges. We organized a session at the Fourth International Partners in Flight Conference to solicit input from session participants from across the Americas and identify their data management needs. Session speakers and participants provided examples of the challenges encountered with data management and how the Internet is increasingly used to provide access to the data needed for bird conservation decisions. Input provided during the session indicated that data management needs extended beyond technology to include scientifi c, conservation, social, institutional, and cultural issues. Because data management is intricately related to all aspects of bird conservation, a coordination process that elevates the importance of data management within the bird conservation community is needed, in addition to improving data management associated with bird population monitoring programs. Development of a comprehensive data management strategy for bird population monitoring data would help address the needs and challenges identified during this session.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tundra to tropics: Connecting birds, habitats and people, proceedings of the fourth International Partners in Flight Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Fourth International Partners in Flight Conference","conferenceDate":"February 13-16 2008","conferenceLocation":"McAllen, Texas","language":"English","publisher":"Partners in Flight","usgsCitation":"Martin, E., Peterjohn, B.G., and Kelling, S., 2008, Gathering, organizing, and accessing data for use in bird conservation across the Americas, in Tundra to tropics: Connecting birds, habitats and people, proceedings of the fourth International Partners in Flight Conference, McAllen, Texas, February 13-16 2008, p. 388-393.","productDescription":"5 p.","startPage":"388","endPage":"393","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025243","costCenters":[{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":307647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe880fe4b0824b2d149db5","contributors":{"editors":[{"text":"Rich, Terrell D.","contributorId":112381,"corporation":false,"usgs":true,"family":"Rich","given":"Terrell","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":570469,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Martin, Elizabeth 0000-0002-5808-6156 elizabeth_martin@usgs.gov","orcid":"https://orcid.org/0000-0002-5808-6156","contributorId":4492,"corporation":false,"usgs":true,"family":"Martin","given":"Elizabeth","email":"elizabeth_martin@usgs.gov","affiliations":[],"preferred":true,"id":570466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterjohn, Bruce G. bpeterjohn@usgs.gov","contributorId":4493,"corporation":false,"usgs":true,"family":"Peterjohn","given":"Bruce","email":"bpeterjohn@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":570467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelling, Steve","contributorId":147123,"corporation":false,"usgs":false,"family":"Kelling","given":"Steve","email":"","affiliations":[],"preferred":false,"id":570468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70207879,"text":"70207879 - 2008 - Time-averaged near-bed suspended sediment concentrations under waves and currents: Comparison of measured and model estimates","interactions":[],"lastModifiedDate":"2020-01-16T13:02:07","indexId":"70207879","displayToPublicDate":"2008-02-15T12:52:09","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Time-averaged near-bed suspended sediment concentrations under waves and currents: Comparison of measured and model estimates","docAbstract":"

Profiles of suspended sediment concentration and velocity were measured over a 15-day period at a near-shore site off Santa Cruz, CA in Monterey Bay. The concentration and velocity data were collected with an Acoustic Backscattering System (ABS) and Acoustic Current Profiler (ACP) that were mounted on a bottom tripod. High-resolution bottom scanning sonar was also attached to the tripod to provide images of bed features during the experiment. Hourly time-averaged near-bed concentrations of suspended sediment were calculated from three models and compared with the measurements. Surface waves and currents that were generated by a storm of moderate intensity caused bed stresses that exceeded threshold stress for D50=0.02 cm, the median size of the moderately well-sorted bottom sediment, over a period of about 7 days. Estimates of the concentration at 1 cm above the bottom, Ca1, were obtained using the ABS measurements. These observations have been compared with predictions for the concentration at 1 cm above the bottom, C1. Nielsen's models for reference concentration Co [Nielsen, P., 1986. Suspended sediment concentrations under waves. Coastal Engineering 10, 32-31; Nielsen, P., 1992. Coastal Bottom Boundary Layers and Sediment Transport, Advanced Series on Ocean Engineering. World Scientific, Hackensack, NJ.] are purely wave-based and do not include effects of bottom currents on bed stress and bedform scales. C1 calculated from this model compared well with measured Ca1 when currents were weak and small oscillatory ripples were observed in the sonar images. However, during the 3-day period of highest bottom stresses modeled C1 did not compare well to Ca1. The other two models for C1, Glenn and Grant [Glenn, S.M., Grant, W.D., 1987. A suspended sediment stratification correction for combined wave and current flows. Journal of Geophysical Research 92(C8), 8244-8264.] and van Rijn and Walstra [Van Rijn, L.C., Walstra, D.J.R., 2004. Description of TRANSPOR2004 and implementation in Delft3D-ONLINE. Interim Report prepared for DG Rijkswaterstaat, Rijksinstituut voor Kust en Zee. Delft Hydraulics Institute, The Netherlands.], accounted for combined wave-current stresses and included different formulations for predicting bedform scales. C1 calculated from these models compared well with measurements throughout the early and middle period of the storm, but underpredicted measured values during the latter part of the experiment. An alternative method based on dimensional analysis provided a straightforward way to relate C1 to bed stress and sediment parameters. This new relationship based on dimensional analysis explained about 77% of the variability in Ca1 derived from the ABS data.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2007.10.006","issn":"02784343","usgsCitation":"Cacchione, D., Thorne, P., Agrawal, Y., and Nidzieko, N., 2008, Time-averaged near-bed suspended sediment concentrations under waves and currents: Comparison of measured and model estimates, v. 28, no. 3, p. 470-484, https://doi.org/10.1016/j.csr.2007.10.006.","productDescription":"15 p. ","startPage":"470","endPage":"484","costCenters":[],"links":[{"id":371317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States ","state":"California ","city":"Santa Cruz ","otherGeospatial":"Monterey Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.08694458007812,\n 36.84775766525785\n ],\n [\n -121.88369750976562,\n 36.84775766525785\n ],\n [\n -121.88369750976562,\n 36.99048777141413\n ],\n [\n -122.08694458007812,\n 36.99048777141413\n ],\n [\n -122.08694458007812,\n 36.84775766525785\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cacchione, D.A.","contributorId":65448,"corporation":false,"usgs":true,"family":"Cacchione","given":"D.A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":779622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorne, P.D.","contributorId":221672,"corporation":false,"usgs":false,"family":"Thorne","given":"P.D.","email":"","affiliations":[],"preferred":false,"id":779623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Agrawal, Y","contributorId":221673,"corporation":false,"usgs":false,"family":"Agrawal","given":"Y","email":"","affiliations":[],"preferred":false,"id":779624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nidzieko, N.J. ","contributorId":221674,"corporation":false,"usgs":false,"family":"Nidzieko","given":"N.J. ","affiliations":[],"preferred":false,"id":779625,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":80946,"text":"ds326 - 2008 - Catalog of earthquake hypocenters at Alaskan volcanoes: January 1 through December 31, 2006","interactions":[],"lastModifiedDate":"2023-03-22T18:17:45.375472","indexId":"ds326","displayToPublicDate":"2008-02-15T00:00:00","publicationYear":"2008","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":"326","title":"Catalog of earthquake hypocenters at Alaskan volcanoes: January 1 through December 31, 2006","docAbstract":"

Between January 1 and December 31, 2006, AVO located 8,666 earthquakes of which 7,783 occurred on or near the 33 volcanoes monitored within Alaska. Monitoring highlights in 2006 include: an eruption of Augustine Volcano, a volcanic-tectonic earthquake swarm at Mount Martin, elevated seismicity and volcanic unrest at Fourpeaked Mountain, and elevated seismicity and low-level tremor at Mount Veniaminof and Korovin Volcano. A new seismic subnetwork was installed on Fourpeaked Mountain. This catalog includes: (1) descriptions and locations of seismic instrumentation deployed in the field during 2006, (2) a description of earthquake detection, recording, analysis, and data archival systems, (3) a description of seismic velocity models used for earthquake locations, (4) a summary of earthquakes located in 2006, and (5) an accompanying UNIX tar-file with a summary of earthquake origin times, hypocenters, magnitudes, phase arrival times, location quality statistics, daily station usage statistics, and all files used to determine the earthquake locations in 2006.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds326","usgsCitation":"Dixon, J.P., Stihler, S.D., Power, J.A., and Searcy, C., 2008, Catalog of earthquake hypocenters at Alaskan volcanoes: January 1 through December 31, 2006: U.S. Geological Survey Data Series 326, Report: iv, 79 p.; Seismic Catalog Zip File, https://doi.org/10.3133/ds326.","productDescription":"Report: iv, 79 p.; Seismic Catalog Zip File","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":190534,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds326.JPG"},{"id":414556,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83312.htm","linkFileType":{"id":5,"text":"html"}},{"id":10803,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/326/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -143.5,\n 62.333\n ],\n [\n -178.4,\n 62.333\n ],\n [\n -178.4,\n 51.3\n ],\n [\n -143.5,\n 51.3\n ],\n [\n -143.5,\n 62.333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e4e4b07f02db5e675f","contributors":{"authors":[{"text":"Dixon, James P. 0000-0002-8478-9971 jpdixon@usgs.gov","orcid":"https://orcid.org/0000-0002-8478-9971","contributorId":3163,"corporation":false,"usgs":true,"family":"Dixon","given":"James","email":"jpdixon@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":293934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stihler, Scott D.","contributorId":31373,"corporation":false,"usgs":true,"family":"Stihler","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":293936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Power, John A. 0000-0002-7233-4398 jpower@usgs.gov","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":2768,"corporation":false,"usgs":true,"family":"Power","given":"John","email":"jpower@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":293933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Searcy, Cheryl 0000-0002-9474-5745 csearcy@usgs.gov","orcid":"https://orcid.org/0000-0002-9474-5745","contributorId":4039,"corporation":false,"usgs":true,"family":"Searcy","given":"Cheryl","email":"csearcy@usgs.gov","affiliations":[],"preferred":true,"id":293935,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}