{"pageNumber":"752","pageRowStart":"18775","pageSize":"25","recordCount":40783,"records":[{"id":99074,"text":"sir20115021 - 2011 - Conceptual model and numerical simulation of the groundwater-flow system of Bainbridge Island, Washington","interactions":[],"lastModifiedDate":"2012-03-08T17:16:39","indexId":"sir20115021","displayToPublicDate":"2011-03-02T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5021","title":"Conceptual model and numerical simulation of the groundwater-flow system of Bainbridge Island, Washington","docAbstract":"Groundwater is the sole source of drinking water for the population of Bainbridge Island. Increased use of groundwater supplies on Bainbridge Island as the population has grown over time has created concern about the quantity of water available and whether saltwater intrusion will occur as groundwater usage increases. A groundwater-flow model was developed to aid in the understanding of the groundwater system and the effects of groundwater development alternatives on the water resources of Bainbridge Island. Bainbridge Island is underlain by unconsolidated deposits of glacial and nonglacial origin. The surficial geologic units and the deposits at depth were differentiated into aquifers and confining units on the basis of areal extent and general water-bearing characteristics. Eleven principal hydrogeologic units are recognized in the study area and form the basis of the groundwater-flow model. A transient variable-density groundwater-flow model of Bainbridge Island and the surrounding area was developed to simulate current (2008) groundwater conditions. The model was calibrated to water levels measured during 2007 and 2008 using parameter estimation (PEST) to minimize the weighted differences or residuals between simulated and measured hydraulic head. The calibrated model was used to make some general observations of the groundwater system in 2008. Total flow through the groundwater system was about 31,000 acre-ft/ yr. The recharge to the groundwater system was from precipitation and septic-system returns. Groundwater flow to Bainbridge Island accounted for about 1,000 acre-ft/ yr or slightly more than 5 percent of the recharge amounts. Groundwater discharge was predominately to streams, lakes, springs, and seepage faces (16,000 acre-ft/yr) and directly to marine waters (10,000 acre-ft/yr). Total groundwater withdrawals in 2008 were slightly more than 6 percent (2,000 acre-ft/yr) of the total flow. The calibrated model was used to simulate predevelopment conditions, during which no groundwater pumping or secondary recharge occurred and currently developed land was covered by conifer forests. Simulated water levels in the uppermost aquifer generally were slightly higher at the end of 2008 than under predevelopment conditions, likely due to increased recharge from septic returns and reduced evapotranspiration losses due to conversion of land cover from forests to current conditions. Simulated changes in water levels for the extensively used sea-level aquifer were variable, although areas with declines between zero and 10 feet were common and generally can be traced to withdrawals from public-supply drinking wells. Simulated water-level declines in the deep (Fletcher Bay) aquifer between predevelopment and 2008 conditions ranged from about 10 feet in the northeast to about 25 feet on the western edge of the Island. These declines are related to groundwater withdrawals for public-supply purposes. The calibrated model also was used to simulate the possible effects of increased groundwater pumping and changes to recharge due to changes in land use and climactic conditions between 2008 and 2035 under minimal, expected, and maximum impact conditions. Drawdowns generally were small for most of the Island (less than 10 ft) for the minimal and expected impact scenarios, and were larger for the maximum impact scenario. No saltwater intrusion was evident in any scenario by the year 2035. The direction of flow in the deep Fletcher Bay aquifer was simulated to reverse direction from its predevelopment west to east direction to an east to west direction under the maximum impact scenario.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115021","collaboration":"Prepared in cooperation with the City of Bainbridge Island","usgsCitation":"Frans, L.M., Bachmann, M.P., Sumioka, S.S., and Olsen, T.D., 2011, Conceptual model and numerical simulation of the groundwater-flow system of Bainbridge Island, Washington: U.S. Geological Survey Scientific Investigations Report 2011-5021, viii, 95 p., https://doi.org/10.3133/sir20115021.","productDescription":"viii, 95 p.","additionalOnlineFiles":"N","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":126196,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5021.jpg"},{"id":14522,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5021/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.83333333333333,47.416666666666664 ], [ -122.83333333333333,47.833333333333336 ], [ -122.33333333333333,47.833333333333336 ], [ -122.33333333333333,47.416666666666664 ], [ -122.83333333333333,47.416666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db6983fd","contributors":{"authors":[{"text":"Frans, Lonna M. 0000-0002-3217-1862 lmfrans@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-1862","contributorId":1493,"corporation":false,"usgs":true,"family":"Frans","given":"Lonna","email":"lmfrans@usgs.gov","middleInitial":"M.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bachmann, Matthew P. mbachman@usgs.gov","contributorId":5348,"corporation":false,"usgs":true,"family":"Bachmann","given":"Matthew","email":"mbachman@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sumioka, Steve S.","contributorId":71615,"corporation":false,"usgs":true,"family":"Sumioka","given":"Steve","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":307470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olsen, Theresa D. 0000-0003-4099-4057 tdolsen@usgs.gov","orcid":"https://orcid.org/0000-0003-4099-4057","contributorId":1644,"corporation":false,"usgs":true,"family":"Olsen","given":"Theresa","email":"tdolsen@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307468,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70118807,"text":"70118807 - 2011 - Linking microbial and ecosystem ecology using ecological stoichiometry: a synthesis of conceptual and empirical approaches","interactions":[],"lastModifiedDate":"2014-07-30T13:17:02","indexId":"70118807","displayToPublicDate":"2011-03-01T13:15:45","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Linking microbial and ecosystem ecology using ecological stoichiometry: a synthesis of conceptual and empirical approaches","docAbstract":"Currently, one of the biggest challenges in microbial and ecosystem ecology is to develop conceptual models that organize the growing body of information on environmental microbiology into a clear mechanistic framework with a direct link to ecosystem processes. Doing so will enable development of testable hypotheses to better direct future research and increase understanding of key constraints on biogeochemical networks. Although the understanding of phenotypic and genotypic diversity of microorganisms in the environment is rapidly accumulating, how controls on microbial physiology ultimately affect biogeochemical fluxes remains poorly understood. We propose that insight into constraints on biogeochemical cycles can be achieved by a more rigorous evaluation of microbial community biomass composition within the context of ecological stoichiometry. Multiple recent studies have pointed to microbial biomass stoichiometry as an important determinant of when microorganisms retain or recycle mineral nutrients. We identify the relevant cellular components that most likely drive changes in microbial biomass stoichiometry by defining a conceptual model rooted in ecological stoichiometry. More importantly, we show how X-ray microanalysis (XRMA), nanoscale secondary ion mass spectroscopy (NanoSIMS), Raman microspectroscopy, and in situ hybridization techniques (for example, FISH) can be applied in concert to allow for direct empirical evaluation of the proposed conceptual framework. This approach links an important piece of the ecological literature, ecological stoichiometry, with the molecular front of the microbial revolution, in an attempt to provide new insight into how microbial physiology could constrain ecosystem processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer-Verlag","publisherLocation":"New York, NY","doi":"10.1007/s10021-010-9408-4","usgsCitation":"Hall, E., Maixner, F., Franklin, O., Daims, H., Richter, A., and Battin, T., 2011, Linking microbial and ecosystem ecology using ecological stoichiometry: a synthesis of conceptual and empirical approaches: Ecosystems, v. 14, no. 2, p. 261-273, https://doi.org/10.1007/s10021-010-9408-4.","productDescription":"13 p.","startPage":"261","endPage":"273","numberOfPages":"13","costCenters":[],"links":[{"id":475024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10021-010-9408-4","text":"Publisher Index Page"},{"id":291415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291414,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10021-010-9408-4"}],"volume":"14","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-12-23","publicationStatus":"PW","scienceBaseUri":"57fe7fa1e4b0824b2d147887","contributors":{"authors":[{"text":"Hall, E. K.","contributorId":85501,"corporation":false,"usgs":true,"family":"Hall","given":"E. K.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":497274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maixner, F.","contributorId":56167,"corporation":false,"usgs":true,"family":"Maixner","given":"F.","email":"","affiliations":[],"preferred":false,"id":497272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Franklin, O.","contributorId":31686,"corporation":false,"usgs":true,"family":"Franklin","given":"O.","email":"","affiliations":[],"preferred":false,"id":497271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daims, H.","contributorId":103196,"corporation":false,"usgs":true,"family":"Daims","given":"H.","email":"","affiliations":[],"preferred":false,"id":497276,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richter, A.","contributorId":71486,"corporation":false,"usgs":true,"family":"Richter","given":"A.","email":"","affiliations":[],"preferred":false,"id":497273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Battin, T.","contributorId":99903,"corporation":false,"usgs":true,"family":"Battin","given":"T.","email":"","affiliations":[],"preferred":false,"id":497275,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70236117,"text":"70236117 - 2011 - Introduction: Special issue on earthquake ground-motion selection and modification for nonlinear dynamic analysis of structures","interactions":[],"lastModifiedDate":"2022-08-29T16:44:08.283485","indexId":"70236117","displayToPublicDate":"2011-03-01T11:40:43","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2467,"text":"Journal of Structural Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Introduction: Special issue on earthquake ground-motion selection and modification for nonlinear dynamic analysis of structures","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)ST.1943-541X.0000355","usgsCitation":"Kalkan, E., and Luco, N., 2011, Introduction: Special issue on earthquake ground-motion selection and modification for nonlinear dynamic analysis of structures: Journal of Structural Engineering, v. 137, no. 3, https://doi.org/10.1061/(ASCE)ST.1943-541X.0000355.","productDescription":"1 p.","startPage":"277","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":475025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1061/(asce)st.1943-541x.0000355","text":"Publisher Index Page"},{"id":405803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"137","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kalkan, Erol 0000-0002-9138-9407 ekalkan@usgs.gov","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":1218,"corporation":false,"usgs":true,"family":"Kalkan","given":"Erol","email":"ekalkan@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":850135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":850136,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99069,"text":"sir20105246 - 2011 - Three-dimensional model of the geologic framework for the Columbia Plateau Regional Aquifer System, Idaho, Oregon, and Washington","interactions":[],"lastModifiedDate":"2023-01-12T11:48:26.487237","indexId":"sir20105246","displayToPublicDate":"2011-03-01T00:00:00","publicationYear":"2011","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":"2010-5246","title":"Three-dimensional model of the geologic framework for the Columbia Plateau Regional Aquifer System, Idaho, Oregon, and Washington","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105246","collaboration":"U.S. Geological Survey Groundwater Resources Program","usgsCitation":"Burns, E., Morgan, D.S., Peavler, R., and Kahle, S.C., 2011, Three-dimensional model of the geologic framework for the Columbia Plateau Regional Aquifer System, Idaho, Oregon, and Washington: U.S. Geological Survey Scientific Investigations Report 2010-5246, Report: vi, 44 p.; 7 Figures; Interactive Webtool; Data: GIS Surfaces; Borehole Data, https://doi.org/10.3133/sir20105246.","productDescription":"Report: vi, 44 p.; 7 Figures; Interactive Webtool; Data: GIS Surfaces; Borehole Data","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":116635,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5246.bmp"},{"id":299029,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5246/pdf/sir20105246_fig08.pdf","text":"Figure 8","size":"930 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 8","linkHelpText":"Layered PDF"},{"id":299035,"rank":12,"type":{"id":7,"text":"Companion Files"},"url":"https://water.usgs.gov/GIS/dsdl/ColumbiaRiverPlateauGeomodel.zip","text":"Data: GIS Surfaces","size":"90 MB","description":"Data: GIS Surfaces"},{"id":299036,"rank":13,"type":{"id":7,"text":"Companion Files"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/sir2010-5246_strat.xml","text":"Borehole Data","description":"Borehole Data"},{"id":299025,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5246/"},{"id":299026,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5246/pdf/sir20105246.pdf","text":"Report","size":"15.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":299027,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5246/pdf/sir20105246_fig01a.pdf","text":"Figure 1A","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 1A","linkHelpText":"Layered PDF"},{"id":299028,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5246/pdf/sir20105246_fig01b.pdf","text":"Figure 1B","size":"932 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 1B","linkHelpText":"Layered PDF"},{"id":299030,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5246/pdf/sir20105246_fig09a.pdf","text":"Figure 9A","size":"572 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 9A","linkHelpText":"Layered PDF"},{"id":299031,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5246/pdf/sir20105246_fig09b.pdf","text":"Figure 9B","size":"553 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 9B","linkHelpText":"Layered PDF"},{"id":299034,"rank":11,"type":{"id":4,"text":"Application Site"},"url":"https://or.water.usgs.gov/proj/cpras/index.html","text":"Interactive Webtool","description":"Interactive Webtool"},{"id":299033,"rank":10,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5246/pdf/sir20105246_fig09d.pdf","text":"Figure 9D","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 9D","linkHelpText":"Layered PDF"},{"id":299032,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5246/pdf/sir20105246_fig09c.pdf","text":"Figure 9C","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 9C","linkHelpText":"Layered PDF"}],"projection":"Lambert Conformal Conic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122,44.25 ], [ -122,48.5 ], [ -115.75,48.5 ], [ -115.75,44.25 ], [ -122,44.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b853","contributors":{"authors":[{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":84802,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":310,"text":"Geology, Minerals, Energy and Geophysics Science Center","active":false,"usgs":true}],"preferred":false,"id":307462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morgan, David S.","contributorId":73181,"corporation":false,"usgs":true,"family":"Morgan","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":307461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peavler, Rachael S.","contributorId":26414,"corporation":false,"usgs":true,"family":"Peavler","given":"Rachael S.","affiliations":[],"preferred":false,"id":307460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kahle, Sue C. 0000-0003-1262-4446 sckahle@usgs.gov","orcid":"https://orcid.org/0000-0003-1262-4446","contributorId":3096,"corporation":false,"usgs":true,"family":"Kahle","given":"Sue","email":"sckahle@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307459,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042434,"text":"70042434 - 2011 - Cumuilative Effects of Impoundments on the Hydrology of Riparian Wetlands along the Marmaton River, west-central Missouri","interactions":[],"lastModifiedDate":"2013-02-23T08:33:42","indexId":"70042434","displayToPublicDate":"2011-03-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Cumuilative Effects of Impoundments on the Hydrology of Riparian Wetlands along the Marmaton River, west-central Missouri","docAbstract":"The effects of proposed impoundments and resulting streamflow regulation on riparian wetlands in the Marmaton River Basin, Missouri, USA were determined using measurements and numerical simulations of wetland water budgets. Calibrated and validated Soil-Plant-Air-Water (SPAW) models were used to simulate daily water depths of four riparian wetlands for Current (model scenario of existing impoundments) and Proposed (model scenario of existing and proposed impoundments) impoundment conditions. The simulated frequency of flooding decreased 19–65% at the wetlands following the additions of proposed impoundments. The reduced flooding resulted in decreases in wetland water depths at all sites during the 10 simulated growing seasons under Proposed conditions with an average duration of continuous water-depth declines of 289 days at the upstream (most regulated) site. Downstream wetlands within the zone of least regulation had an average duration of water level decreases of about 20 days. Decreased water levels under Proposed conditions resulted in a range of 65–365 additional dry days at the study wetlands during the simulated 10-year period of Proposed conditions. The areas of the four wetlands meeting the hydrologic criteria of a formal jurisdictional wetland definition decreased ranging from zero to 31% under Proposed impoundment conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-010-0121-z","usgsCitation":"Heimann, D.C., and Krempa, H., 2011, Cumuilative Effects of Impoundments on the Hydrology of Riparian Wetlands along the Marmaton River, west-central Missouri: Wetlands, v. 31, no. 1, p. 135-146, https://doi.org/10.1007/s13157-010-0121-z.","startPage":"135","endPage":"146","ipdsId":"IP-017126","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":267991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267990,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-010-0121-z"}],"country":"United States","volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-11","publicationStatus":"PW","scienceBaseUri":"5129f318e4b04edf7e93f879","contributors":{"authors":[{"text":"Heimann, David C. 0000-0003-0450-2545 dheimann@usgs.gov","orcid":"https://orcid.org/0000-0003-0450-2545","contributorId":3822,"corporation":false,"usgs":true,"family":"Heimann","given":"David","email":"dheimann@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krempa, Heather M.","contributorId":35612,"corporation":false,"usgs":true,"family":"Krempa","given":"Heather M.","affiliations":[],"preferred":false,"id":471517,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043495,"text":"70043495 - 2011 - Enhancing the Simplified Surface Energy Balance (SSEB) Approach for Estimating Landscape ET: Validation with the METRIC model","interactions":[],"lastModifiedDate":"2013-02-15T13:58:50","indexId":"70043495","displayToPublicDate":"2011-03-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":680,"text":"Agricultural Water Management","active":true,"publicationSubtype":{"id":10}},"title":"Enhancing the Simplified Surface Energy Balance (SSEB) Approach for Estimating Landscape ET: Validation with the METRIC model","docAbstract":"Evapotranspiration (ET) can be derived from satellite data using surface energy balance principles. METRIC (Mapping EvapoTranspiration at high Resolution with Internalized Calibration) is one of the most widely used models available in the literature to estimate ET from satellite imagery. The Simplified Surface Energy Balance (SSEB) model is much easier and less expensive to implement. The main purpose of this research was to present an enhanced version of the Simplified Surface Energy Balance (SSEB) model and to evaluate its performance using the established METRIC model. In this study, SSEB and METRIC ET fractions were compared using 7 Landsat images acquired for south central Idaho during the 2003 growing season. The enhanced SSEB model compared well with the METRIC model output exhibiting an r2 improvement from 0.83 to 0.90 in less complex topography (elevation less than 2000 m) and with an improvement of r2 from 0.27 to 0.38 in more complex (mountain) areas with elevation greater than 2000 m. Independent evaluation showed that both models exhibited higher variation in complex topographic regions, although more with SSEB than with METRIC. The higher ET fraction variation in the complex mountainous regions highlighted the difficulty of capturing the radiation and heat transfer physics on steep slopes having variable aspect with the simple index model, and the need to conduct more research. However, the temporal consistency of the results suggests that the SSEB model can be used on a wide range of elevation (more successfully up 2000 m) to detect anomalies in space and time for water resources management and monitoring such as for drought early warning systems in data scarce regions. SSEB has a potential for operational agro-hydrologic applications to estimate ET with inputs of surface temperature, NDVI, DEM and reference ET.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Agricultural Water Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.agwat.2010.10.014","usgsCitation":"Senay, G.B., Budde, M.E., and Verdin, J.P., 2011, Enhancing the Simplified Surface Energy Balance (SSEB) Approach for Estimating Landscape ET: Validation with the METRIC model: Agricultural Water Management, v. 98, no. 4, p. 606-618, https://doi.org/10.1016/j.agwat.2010.10.014.","startPage":"606","endPage":"618","ipdsId":"IP-016651","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":267573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267572,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.agwat.2010.10.014"}],"country":"United States","volume":"98","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511f6714e4b03b29402c5dd3","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budde, Michael E. 0000-0002-9098-2751 mbudde@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-2751","contributorId":3007,"corporation":false,"usgs":true,"family":"Budde","given":"Michael","email":"mbudde@usgs.gov","middleInitial":"E.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473709,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190216,"text":"70190216 - 2011 - Effects of spatial disturbance on common loon nest site selection and territory success","interactions":[],"lastModifiedDate":"2021-05-06T15:34:51.901899","indexId":"70190216","displayToPublicDate":"2011-02-28T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of spatial disturbance on common loon nest site selection and territory success","docAbstract":"<p><span>The common loon (</span><i>Gavia immer</i><span>) breeds during the summer on northern lakes and water bodies that are also often desirable areas for aquatic recreation and human habitation. In northern New England, we assessed how the spatial nature of disturbance affects common loon nest site selection and territory success. We found through classification and regression analysis that distance to and density of disturbance factors can be used to classify observed nest site locations versus random points, suggesting that these factors affect loon nest site selection (model 1: Correct classification = 75%, null = 50%,<span>&nbsp;</span></span><i>K</i><span> = 0.507,<span>&nbsp;</span></span><i>P</i><span> &lt; 0.001; model 2: Correct classification = 78%, null = 50%,<span>&nbsp;</span></span><i>K</i><span> = 0.551,<span>&nbsp;</span></span><i>P</i><span> &lt; 0.001). However, in an exploratory analysis, we were unable to show a relation between spatial disturbance variables and breeding success (</span><i>P</i><span> = 0.595,<span>&nbsp;</span></span><i>R</i><sup>2</sup><span> = 0.436), possibly because breeding success was so low during the breeding seasons of 2007–2008. We suggest that by selecting nest site locations that avoid disturbance factors, loons thereby limit the effect that disturbance will have on their breeding success. Still, disturbance may force loons to use sub-optimal nesting habitat, limiting the available number of territories, and overall productivity. We advise that management efforts focus on limiting disturbance factors to allow breeding pairs access to the best nesting territories, relieving disturbance pressures that may force sub-optimal nest placement.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.50","usgsCitation":"McCarthy, K.P., and DeStefano, S., 2011, Effects of spatial disturbance on common loon nest site selection and territory success: Journal of Wildlife Management, v. 75, no. 2, p. 289-296, https://doi.org/10.1002/jwmg.50.","productDescription":"8 p.","startPage":"289","endPage":"296","ipdsId":"IP-017686","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":344985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine, New Hampshire","otherGeospatial":"Lake Umbagog","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      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0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":708018,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99068,"text":"ofr20111031 - 2011 - The users, uses, and value of Landsat and other moderate-resolution satellite imagery in the United States-Executive report","interactions":[],"lastModifiedDate":"2012-02-02T00:15:19","indexId":"ofr20111031","displayToPublicDate":"2011-02-26T00:00:00","publicationYear":"2011","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":"2011-1031","title":"The users, uses, and value of Landsat and other moderate-resolution satellite imagery in the United States-Executive report","docAbstract":"Moderate-resolution imagery (MRI), such as that provided by the Landsat satellites, provides unique spatial information for use by many people both within and outside of the United States (U.S.). However, exactly who these users are, how they use the imagery, and the value and benefits derived from the information are, to a large extent, unknown. To explore these issues, social scientists at the USGS Fort Collins Science Center conducted a study of U.S.-based MRI users from 2008 through 2010 in two parts: 1) a user identification and 2) a user survey. The objectives for this study were to: 1) identify and classify U.S.-based users of this imagery; 2) better understand how and why MRI, and specifically Landsat, is being used; and 3) qualitatively and quantitatively measure the value and societal benefits of MRI (focusing on Landsat specifically). The results of the survey revealed that respondents from multiple sectors use Landsat imagery in many different ways, as demonstrated by the breadth of project locations and scales, as well as application areas. The value of Landsat imagery to these users was demonstrated by the high importance placed on the imagery, the numerous benefits received from projects using Landsat imagery, the negative impacts if Landsat imagery was no longer available, and the substantial willingness to pay for replacement imagery in the event of a data gap. The survey collected information from users who are both part of and apart from the known user community. The diversity of the sample delivered results that provide a baseline of knowledge about the users, uses, and value of Landsat imagery. While the results supply a wealth of information on their own, they can also be built upon through further research to generate a more complete picture of the population of Landsat users as a whole.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111031","usgsCitation":"Miller, H.M., Sexton, N.R., Koontz, L., Loomis, J., Koontz, S.R., and Hermans, C., 2011, The users, uses, and value of Landsat and other moderate-resolution satellite imagery in the United States-Executive report: U.S. Geological Survey Open-File Report 2011-1031, v, 42 p. , https://doi.org/10.3133/ofr20111031.","productDescription":"v, 42 p. ","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":126194,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1031.bmp"},{"id":14515,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1031/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a59e4b07f02db62f606","contributors":{"authors":[{"text":"Miller, Holly M. 0000-0003-0914-7570 millerh@usgs.gov","orcid":"https://orcid.org/0000-0003-0914-7570","contributorId":29544,"corporation":false,"usgs":true,"family":"Miller","given":"Holly","email":"millerh@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":307454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sexton, Natalie R.","contributorId":82750,"corporation":false,"usgs":true,"family":"Sexton","given":"Natalie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":307458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koontz, Lynne koontzl@usgs.gov","contributorId":2174,"corporation":false,"usgs":false,"family":"Koontz","given":"Lynne","email":"koontzl@usgs.gov","affiliations":[{"id":7016,"text":"Environmental Quality Division, National Park Service, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":307453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loomis, John","contributorId":60746,"corporation":false,"usgs":true,"family":"Loomis","given":"John","affiliations":[],"preferred":false,"id":307456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koontz, Stephen R.","contributorId":69272,"corporation":false,"usgs":true,"family":"Koontz","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":307457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hermans, Caroline","contributorId":42680,"corporation":false,"usgs":true,"family":"Hermans","given":"Caroline","affiliations":[],"preferred":false,"id":307455,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":99067,"text":"sir20105250 - 2011 - Hydrogeology and simulation of groundwater flow in fractured rock in the Newark basin, Rockland County, New York","interactions":[],"lastModifiedDate":"2012-03-08T17:16:39","indexId":"sir20105250","displayToPublicDate":"2011-02-25T00:00:00","publicationYear":"2011","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":"2010-5250","title":"Hydrogeology and simulation of groundwater flow in fractured rock in the Newark basin, Rockland County, New York","docAbstract":"Groundwater in the Newark basin aquifer flows primarily through discrete water-bearing zones parallel to the strike and dip of bedding, whereas flow perpendicular to the strike is restricted, thereby imparting anisotropy to the groundwater flow field. The finite-element model SUTRA was used to represent bedrock structure in the aquifer by spatially varying the orientation of the hydraulic conductivity tensor to reflect variations in the strike and dip of the bedding. Directions of maximum and medium hydraulic conductivity were oriented parallel to the bedding, and the direction of minimum hydraulic conductivity was oriented perpendicular to the bedding. Groundwater flow models were prepared to simulate local flow in the vicinity of the Spring Valley well field and regional flow through the Newark basin aquifer. The Newark basin contains sedimentary rocks deposited as alluvium during the Late Triassic and is one of a series of basins that developed when Mesozoic rifting of the super continent Pangea created the Atlantic Ocean. The westward-dipping basin is filled with interbedded facies of coarse-grained to fine-grained rocks that were intruded by diabase associated with Jurassic volcanism. The Newark basin aquifer is bounded to the north and east by the Palisades sill and to the west by the Ramapo Fault. Although the general dip of bedding is toward the fault, mapping of conglomerate beds indicates the rocks are folded into broad anticlines and synclines. An alternative, more uniform pattern of regional structure, based on interpolated strike and dip measurements from a number of sources, has also been proposed. Two groundwater flow models (A for the former type of bedrock structure and B for the latter type) were developed to represent these alternative depictions of bedrock structure. Transient simulations were calibrated to reproduce measured water-level recoveries in a 9.3 mi&sup2 area surrounding the Spring Valley well field during a 5-day aquifer test in 1992. The models represented a 330-ft thick rock mass divided vertically into 10 equally spaced layers and were calibrated through nonlinear regression. Results of model B best matched the observed water-level recoveries with an estimated hydraulic conductivity of 9.5 ft/day, specific storage of 7.6 x 10 -6 ft -1, and K<sub>max</sub>: K<sub>min</sub> anisotropy ratio (hydraulic conductivity parallel to bedding: perpendicular to bedding) of 72:1. Model error was 50 percent greater in model A because the assumed structure did not match the actual strike of bedding in this area. Steady-state simulations of regional flow through the 85.4-mi2 modeled extent of the Newark basin aquifer represented both the alluvial aquifer beneath the Mawah River and the fractured bedrock. The rock mass was divided into two aquifer units: an upper 500-ft thick unit divided into 10 equally spaced layers through which most groundwater is assumed to flow and a lower unit divided into 7 layers with increasing thickness. Models were calibrated through nonlinear regression to average water levels measured in 140 wells from August 2005 through April 2007. Water levels simulated using the two models were similar and generally matched those observed, and the average recharge rate estimated using both models was 19 inches/year for the simulated period. Estimated transmissivity parallel to the strike of bedding (1,100 ft&sup2/d) was uniform in two transmissivity (T) zones in model A, but in model B the transmissivity of a high T zone (1,600 ft&sup2/d), delineated on the basis of aquifer test data, was slightly greater than in a low T zone (1,300 ft&sup2/d). The K<sub>max</sub>: K<sub>min</sub> anisotropy was estimated to be 58:1 in model A and 410:1 in model B, so the proportion of flow perpendicular to bedding is less in model B than in model A. Distributions of groundwater age simulated with models A and B are similar and indicate that most shallow ground-water (225 ft below the bedrock surface) is 5 t","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105250","collaboration":"Prepared in cooperation with Rockland County, New York, and\r\nNew York State Department of Environmental Conservation\r\n","usgsCitation":"Yager, R.M., and Ratcliffe, N.M., 2011, Hydrogeology and simulation of groundwater flow in fractured rock in the Newark basin, Rockland County, New York: U.S. Geological Survey Scientific Investigations Report 2010-5250, iiv, 66 p. ; Appendices ; GIS Datasets; Companion Report , https://doi.org/10.3133/sir20105250.","productDescription":"iiv, 66 p. ; Appendices ; GIS Datasets; Companion Report ","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":116634,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5250.gif"},{"id":14514,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5250/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.25,41 ], [ -74.25,41.36805555555556 ], [ -73.83333333333333,41.36805555555556 ], [ -73.83333333333333,41 ], [ -74.25,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adae4b07f02db685526","contributors":{"authors":[{"text":"Yager, Richard M. 0000-0001-7725-1148 ryager@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-1148","contributorId":950,"corporation":false,"usgs":true,"family":"Yager","given":"Richard","email":"ryager@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ratcliffe, Nicholas M. 0000-0002-7922-5784 nratclif@usgs.gov","orcid":"https://orcid.org/0000-0002-7922-5784","contributorId":4167,"corporation":false,"usgs":true,"family":"Ratcliffe","given":"Nicholas","email":"nratclif@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":307452,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70217732,"text":"70217732 - 2011 - Hydrogeophysical methods for analyzing aquifer storage and recovery systems","interactions":[],"lastModifiedDate":"2021-01-29T16:18:34.463796","indexId":"70217732","displayToPublicDate":"2011-02-22T10:13:16","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeophysical methods for analyzing aquifer storage and recovery systems","docAbstract":"<p><span>Hydrogeophysical methods are presented that support the siting and monitoring of aquifer storage and recovery (ASR) systems. These methods are presented as numerical simulations in the context of a proposed ASR experiment in Kuwait, although the techniques are applicable to numerous ASR projects. Bulk geophysical properties are calculated directly from ASR flow and solute transport simulations using standard petrophysical relationships and are used to simulate the dynamic geophysical response to ASR. This strategy provides a quantitative framework for determining site‐specific geophysical methods and data acquisition geometries that can provide the most useful information about the ASR implementation. An axisymmetric, coupled fluid flow and solute transport model simulates injection, storage, and withdrawal of fresh water (salinity ∼500 ppm) into the Dammam aquifer, a tertiary carbonate formation with native salinity approximately 6000 ppm. Sensitivity of the flow simulations to the correlation length of aquifer heterogeneity, aquifer dispersivity, and hydraulic permeability of the confining layer are investigated. The geophysical response using electrical resistivity, time‐domain electromagnetic (TEM), and seismic methods is computed at regular intervals during the ASR simulation to investigate the sensitivity of these different techniques to changes in subsurface properties. For the electrical and electromagnetic methods, fluid electric conductivity is derived from the modeled salinity and is combined with an assumed porosity model to compute a bulk electrical resistivity structure. The seismic response is computed from the porosity model and changes in effective stress due to fluid pressure variations during injection/recovery, while changes in fluid properties are introduced through Gassmann fluid substitution.</span></p>","language":"English","publisher":"National Ground Water Association","doi":"10.1111/j.1745-6584.2010.00676.x","usgsCitation":"Minsley, B.J., Ajo-Franklin, J.B., Mukhopadhyay, A., and Morgan, F.D., 2011, Hydrogeophysical methods for analyzing aquifer storage and recovery systems: Groundwater, v. 49, no. 2, p. 250-269, https://doi.org/10.1111/j.1745-6584.2010.00676.x.","productDescription":"20 p.","startPage":"250","endPage":"269","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":475028,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1745-6584.2010.00676.x","text":"External Repository"},{"id":382810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Kuwait","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[47.97452,29.97582],[48.18319,29.53448],[48.09394,29.3063],[48.41609,28.552],[47.70885,28.52606],[47.45982,29.00252],[46.56871,29.09903],[47.30262,30.05907],[47.97452,29.97582]]]},\"properties\":{\"name\":\"Kuwait\"}}]}","volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":809418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ajo-Franklin, Jonathan B.","contributorId":30054,"corporation":false,"usgs":false,"family":"Ajo-Franklin","given":"Jonathan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":809419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mukhopadhyay, A.","contributorId":57762,"corporation":false,"usgs":true,"family":"Mukhopadhyay","given":"A.","email":"","affiliations":[],"preferred":false,"id":809420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morgan, Frank Dale","contributorId":248580,"corporation":false,"usgs":false,"family":"Morgan","given":"Frank","email":"","middleInitial":"Dale","affiliations":[],"preferred":false,"id":809421,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":99059,"text":"sir20105234 - 2011 - Simulation of the effects of the Devils Lake State Outlet on hydrodynamics and water quality in Lake Ashtabula, North Dakota, 2006-10","interactions":[],"lastModifiedDate":"2017-10-14T11:41:16","indexId":"sir20105234","displayToPublicDate":"2011-02-18T00:00:00","publicationYear":"2011","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":"2010-5234","title":"Simulation of the effects of the Devils Lake State Outlet on hydrodynamics and water quality in Lake Ashtabula, North Dakota, 2006-10","docAbstract":"In 2010, a two-dimensional hydrodynamic and water-quality model (CE-QUAL-W2) of Lake Ashtabula, North Dakota, was developed by the U.S. Geological Survey in cooperation with the North Dakota State Water Commission to understand the dynamics of chemical constituents in the reservoir and to provide a tool for the management and operation of the Devils Lake State Outlet in meeting the water-quality standards downstream from Baldhill Dam. The Lake Ashtabula model was calibrated for hydrodynamics, sulfate concentrations, and total dissolved-solids concentrations to ambient conditions from June 2006 through June 2010. The calibrated model then was used to simulate four scenarios that represent various Devils Lake outlet options that have been considered for reducing the water levels in Devils Lake.\r\n\r\nSimulated water temperatures compared well with measured temperatures and differences varied spatially in Lake Ashtabula from June 2006 through June 2010. The absolute mean error ranged from 0.7 degrees Celsius to 1.0 degrees Celsius and the root mean square error ranged from 0.7 degrees Celsius to 1.1 degrees Celsius.\r\n\r\nSimulated sulfate concentrations compared well with measured concentrations in Lake Ashtabula. In general, simulated sulfate concentrations were slightly overpredicted with mean differences between simulated and measured sulfate concentrations ranging from -2 milligram per liter to 18 milligrams per liter. Differences between simulated and measured sulfate concentrations varied temporally in Lake Ashtabula from June 2006 through June 2010. In 2006, sulfate concentrations were overpredicted in the lower part of the reservoir and underpredicted in the upper part of the reservoir.\r\n\r\nSimulated total dissolved solids generally were greater than measured total dissolved-solids concentrations in Lake Ashtabula from June 2006 through June 2010. The mean difference between simulated and measured total dissolved-solids concentrations ranged from -3 milligrams per liter to 15 milligrams per liter, the absolute mean error ranged from 58 milligrams per liter to 100 milligrams per liter, and the root mean square error ranged from 73 milligrams per liter to 114 milligrams per liter.\r\n\r\nSimulated sulfate concentrations from four scenarios were compared to simulated ambient concentrations from June 2006 through June 2009. For scenario 1, the same location, outflow capacity, and sulfate concentration as the current (2010) Devils Lake State Outlet were assumed. The increased flow and sulfate concentration in scenario 1, beginning on May 31 and extending to October 31 each year, resulted in an increase in sulfate concentrations to greater than 450 milligrams per liter in the reservoir at site 7T (approximately the middle of the reservoir), starting July 5 in 2006, July 28 in 2007, and July 15 in 2008. Sulfate concentrations increased to greater than 450 milligrams per liter considerably later at site 1T (near the dam), starting October 8 in 2006, October 29 in 2007, and October 3 in 2008. For scenario 2, the same Devils Lake State Outlet sulfate concentration as scenario 1 was assumed, but the flow through the Devils Lake State Outlet was doubled, which resulted in a more rapid increase in sulfate concentrations in the lower part of the reservoir and slightly greater values at all four sites compared to scenario 1. Sulfate concentrations increased to greater than 450 milligrams per liter 61 days earlier in 2006, 67 days earlier in 2007, and 41 days earlier in 2008 at site 1T.\r\n\r\nFor scenarios 3 and 4, possible increases in flow and concentration from the current outlet location (from the West Bay of Devils Lake) and from a proposed outlet from East Devils Lake were simulated. Conditions for scenario 3 resulted in a relatively rapid increase in sulfate concentrations in the reservoir, and concentrations were greater than 750 milligrams per liter in most years at all four sites. As expected, scenario 4 resulted in greater sulfate concentr","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105234","collaboration":"Prepared in cooperation with the North Dakota State Water Commission","usgsCitation":"Galloway, J.M., 2011, Simulation of the effects of the Devils Lake State Outlet on hydrodynamics and water quality in Lake Ashtabula, North Dakota, 2006-10: U.S. Geological Survey Scientific Investigations Report 2010-5234, vi, 24 p., https://doi.org/10.3133/sir20105234.","productDescription":"vi, 24 p.","additionalOnlineFiles":"N","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":125966,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5234.jpg"},{"id":14504,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5234/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9fe4b07f02db660d6a","contributors":{"authors":[{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307430,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99054,"text":"ofr20111019 - 2011 - Geophysical and flow-weighted natural-contaminant characterization of three water-supply wells in New Hampshire","interactions":[],"lastModifiedDate":"2016-08-10T15:55:42","indexId":"ofr20111019","displayToPublicDate":"2011-02-18T00:00:00","publicationYear":"2011","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":"2011-1019","title":"Geophysical and flow-weighted natural-contaminant characterization of three water-supply wells in New Hampshire","docAbstract":"<p>Three bedrock water-supply systems in New Hampshire were studied, using borehole geophysics and flow-weighted sampling techniques, to determine the sources and distribution of natural contaminants in water entering the boreholes and to assess whether borehole modifications might be used to reduce contaminant levels. Well water in more than 100 community water-supply systems in New Hampshire have natural contaminants, such as arsenic and uranium, above the U.S. Environmental Protection Agency maximum contaminant levels of 10 and 30 micrograms per liter, respectively. The water-system wells were studied to identify fractional contributions of natural contaminants from specific fracture zones. The yields and flow-weighted contaminant levels of such fracture zones were assessed to determine if a modification of the borehole might lead to a reduction in the system&rsquo;s contaminant levels.</p>\n<p>The water-supply systems investigated were typical of small community water systems in New Hampshire where a water system may serve 100 connections or less. Each water system consisted of two wells, approximately 300 to 400 feet deep, in generally low-yielding (about 10 gallons per minute or less) crystalline bedrock. The wells were typically operated a few hours per day to fill a storage tank and had tens of feet of drawdown caused by the low well yields. The systems selected had contaminant concentrations slightly above MCL, or a low-level contamination. One of the water systems investigated had low-level (10 to 24 micrograms per liter) arsenic contamination, and two of the water systems had low-level uranium (30 to 40 micrograms per liter) contamination. The contaminant values were blended-water concentrations from the two wells in a system. Each water system had differences in contaminant concentrations between the two wells. In each case, the well with the greater concentration of the two was selected for investigation. In two of the three systems investigated, there was either not enough variation in the borehole contaminant concentration or not enough water-yielding fractures for borehole modifications to be a viable potential remedy to elevated contamination. However, borehole and contaminant conditions in one of the bedrock supply-well systems may be favorable to potential improvement of supplied water by borehole modification where selected fracture zones are sealed off from supplying water to the well.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111019","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency and the New Hampshire Department of Environmental Services","usgsCitation":"Mack, T.J., Belaval, M., Degnan, J.R., Roy, S.J., and Ayotte, J., 2011, Geophysical and flow-weighted natural-contaminant characterization of three water-supply wells in New Hampshire: U.S. Geological Survey Open-File Report 2011-1019, vi, 20 p. , https://doi.org/10.3133/ofr20111019.","productDescription":"vi, 20 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":125968,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1019.bmp"},{"id":14499,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1019/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New 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,{"id":99057,"text":"fs20113019 - 2011 - Assessing groundwater availability in the Northern Atlantic Coastal Plain aquifer system","interactions":[],"lastModifiedDate":"2018-05-17T13:36:43","indexId":"fs20113019","displayToPublicDate":"2011-02-18T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3019","title":"Assessing groundwater availability in the Northern Atlantic Coastal Plain aquifer system","docAbstract":"The U.S. Geological Survey's Groundwater Resources Program is conducting an assessment of groundwater availability throughout the United States to gain a better understanding of the status of the Nation's groundwater resources and how changes in land use, water use, and climate may affect those resources. The goal of this National assessment is to improve our ability to forecast water availability for future economic and environmental uses. Assessments will be completed for the Nation's principal aquifer systems to help characterize how much water is currently available, how water availability is changing, and how much water we can expect to have in the future (Reilly and others, 2008).\r\n\r\nThe concept of groundwater availability is more than just how much water can be pumped from any given aquifer. Groundwater availability is a function of many factors, including the quantity and quality of water and the laws, regulations, economics, and environmental factors that control its use. The primary objective of the North Atlantic Coastal Plain groundwater-availability study is to identify spatial and temporal changes in the overall water budget by more fully determining the natural and human processes that control how water enters, moves through, and leaves the groundwater system. Development of tools such as numerical models can help hydrologists gain an understanding of this groundwater system, allowing forecasts to be made about the response of this system to natural and human stresses, and water quality and ecosystem health to be analyzed, throughout the region.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20113019","collaboration":"The USGS Groundwater Resources Program","usgsCitation":"Masterson, J., Pope, J.P., Monti, J., and Nardi, M.R., 2011, Assessing groundwater availability in the Northern Atlantic Coastal Plain aquifer system: U.S. Geological Survey Fact Sheet 2011-3019, 4 p., https://doi.org/10.3133/fs20113019.","productDescription":"4 p.","additionalOnlineFiles":"N","costCenters":[{"id":327,"text":"Groundwater Resources Program","active":false,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":14502,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3019/","linkFileType":{"id":5,"text":"html"}},{"id":126730,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3019.gif"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76,34 ], [ -76,43 ], [ -72,43 ], [ -72,34 ], [ -76,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672ab9","contributors":{"authors":[{"text":"Masterson, John P. 0000-0003-3202-4413 jpmaster@usgs.gov","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":1865,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","email":"jpmaster@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":307427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Monti, Jack Jr. jmonti@usgs.gov","contributorId":1185,"corporation":false,"usgs":true,"family":"Monti","given":"Jack","suffix":"Jr.","email":"jmonti@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":307425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nardi, Mark R. 0000-0002-7310-8050 mrnardi@usgs.gov","orcid":"https://orcid.org/0000-0002-7310-8050","contributorId":1859,"corporation":false,"usgs":true,"family":"Nardi","given":"Mark","email":"mrnardi@usgs.gov","middleInitial":"R.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307426,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":99053,"text":"sir20115011 - 2011 - Flood hydrology and dam-breach hydraulic analyses of four reservoirs in the Black Hills, South Dakota","interactions":[],"lastModifiedDate":"2017-10-14T11:44:59","indexId":"sir20115011","displayToPublicDate":"2011-02-17T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5011","title":"Flood hydrology and dam-breach hydraulic analyses of four reservoirs in the Black Hills, South Dakota","docAbstract":"<p>Extensive information about the construction of dams or potential downstream hazards in the event of a dam breach is not available for many small reservoirs within the Black Hills National Forest. In 2009, the U.S. Forest Service identified the need for reconnaissance-level dam-breach assessments for four of these reservoirs within the Black Hills National Forest (Iron Creek, Horsethief, Lakota, and Mitchell Lakes) with the potential to flood downstream structures. Flood hydrology and dam-breach hydraulic analyses for the four selected reservoirs were conducted by the U.S. Geological Survey in cooperation with the U.S. Forest service to estimate the areal extent of downstream inundation. Three high-flow breach scenarios were considered for cases when the dam is in place (overtopped) and when a dam break (failure) occurs: the 100-year recurrence 24-hour precipitation, 500-year recurrence peak flow, and the probable maximum precipitation. Inundation maps were developed that show the estimated extent of downstream floodwaters from simulated scenarios. Simulation results were used to determine the hazard classification of a dam break (high, significant, or low), based primarily on the potential for loss of life or property damage resulting from downstream inundation because of the flood surge.</p><p>The inflow design floods resulting from the two simulated storm events (100-year 24-hour and probable maximum precipitation) were determined using the U.S. Army Corps of Engineers Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS). The inflow design flood for the 500-year recurrence peak flow was determined by using regional regression equations developed for streamflow-gaging stations with similar watershed characteristics. The step-backwater hydraulic analysis model, Hydrologic Engineering Center's River Analysis System (HEC-RAS), was used to determine water-surface profiles of in-place and dam-break scenarios for the three inflow design floods that were simulated. Inundation maps for in-place and dam-break scenarios were developed for the area downstream from the dam to the mouth of each stream.</p><p>Dam-break scenarios for three of the four reservoirs assessed in this study were rated as low hazards owing to absence of permanent structures downstream from the dams. Iron Creek Lake's downstream channel to its mouth does not include any permanent structures within the inundation flood plains. For the two reservoirs with the largest watershed areas, Lakota and Mitchell Lake, the additional floodwater surge resulting from a dam break would be minor relative to the magnitude of the large flood streamflow into the reservoirs, based on the similar areal extent of inundation for the in-place and dam-break scenarios as indicated by the developed maps. A dam-break scenario at Horsethief Lake is rated as a significant hazard because of potential lives-in-jeopardy in downstream dwellings and appreciable economic loss.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115011","collaboration":"Prepared in cooperation with the U.S. Forest Service","usgsCitation":"Hoogestraat, G., 2011, Flood hydrology and dam-breach hydraulic analyses of four reservoirs in the Black Hills, South Dakota: U.S. Geological Survey Scientific Investigations Report 2011-5011, vi, 24 p, https://doi.org/10.3133/sir20115011.","productDescription":"vi, 24 p","additionalOnlineFiles":"N","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":125959,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5011.jpg"},{"id":14498,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5011/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Dakota","otherGeospatial":"Black Hills National Forest, Horsethief Lake, Iron Creek Lake, Lakota Lake, Mitchell Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104,43.75 ], [ -104,44.5 ], [ -103,44.5 ], [ -103,43.75 ], [ -104,43.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f2e4b07f02db5ef046","contributors":{"authors":[{"text":"Hoogestraat, Galen K.","contributorId":22442,"corporation":false,"usgs":true,"family":"Hoogestraat","given":"Galen K.","affiliations":[],"preferred":false,"id":307416,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":9000600,"text":"ofr20101291 - 2011 - Partnership of Environmental Education and Research-A compilation of student research, 1999-2008","interactions":[],"lastModifiedDate":"2017-11-08T13:30:35","indexId":"ofr20101291","displayToPublicDate":"2011-02-16T00:00:00","publicationYear":"2011","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":"2010-1291","title":"Partnership of Environmental Education and Research-A compilation of student research, 1999-2008","docAbstract":"The U.S. Geological Survey (USGS) Tennessee Water Science Center and the College of Engineering and Technology at Tennessee State University developed a Partnership in Environmental Education and Research (PEER) to support environmental research at TSU and to expand the environmental research capabilities of the USGS in Tennessee. The PEER program is driven by the research needs to better define the occurrence, fate, and transport of contaminants in groundwater and surface water. Research in the PEER program has primarily focused on the transport and remediation of organic contamination in karst settings. Research conducted through the program has also expanded to a variety of media and settings. Research areas include contaminant occurrence and transport, natural and enhanced bioremediation, geochemical conditions in karst aquifers, mathematical modeling for contaminant transport and degradation, new methods to evaluate groundwater contamination, the resuspension of bacteria from sediment in streams, the use of bioluminescence and chemiluminescence to identify the presence of contaminants, and contaminant remediation in wetlands. The PEER program has increased research and education opportunities for students in the College of Engineering, Technology, and Computer Science and has provided students with experience in presenting the results of their research. Students in the program have participated in state, regional, national and international conferences with more than 140 presentations since 1998 and more than 40 student awards. The PEER program also supports TSU outreach activities and efforts to increase minority participation in environmental and earth science programs at the undergraduate and graduate levels. TSU students and USGS staff participate in the TSU summer programs for elementary and high school students to promote earth sciences. The 2007 summer camps included more than 130 students from 20 different States and Washington DC.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101291","collaboration":"Prepared in Cooperation with the College of Engineering, Technology, and Computer Science, Tennessee State University","usgsCitation":"2011, Partnership of Environmental Education and Research-A compilation of student research, 1999-2008: U.S. Geological Survey Open-File Report 2010-1291, viii, 67 p., https://doi.org/10.3133/ofr20101291.","productDescription":"viii, 67 p.","additionalOnlineFiles":"N","temporalStart":"1999-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":19211,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1291/","linkFileType":{"id":5,"text":"html"}},{"id":126185,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1291.jpg"}],"country":"United States","state":"Tennessee","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 90.5,35 ], [ 90.5,36.5 ], [ 83,36.5 ], [ 83,35 ], [ 90.5,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db6889dc","contributors":{"editors":[{"text":"Bradley, Mike 0000-0002-2979-265X mbradley@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-265X","contributorId":582,"corporation":false,"usgs":true,"family":"Bradley","given":"Mike","email":"mbradley@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":721221,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Armstrong, Patrice","contributorId":26386,"corporation":false,"usgs":true,"family":"Armstrong","given":"Patrice","email":"","affiliations":[],"preferred":false,"id":721222,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Byl, Thomas D. 0000-0001-6907-9149 tdbyl@usgs.gov","orcid":"https://orcid.org/0000-0001-6907-9149","contributorId":583,"corporation":false,"usgs":true,"family":"Byl","given":"Thomas","email":"tdbyl@usgs.gov","middleInitial":"D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":721223,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}}
,{"id":99051,"text":"ofr20101289 - 2011 - Microphotographs of cyanobacteria documenting the effects of various cell-lysis techniques","interactions":[],"lastModifiedDate":"2025-05-13T18:44:19.204325","indexId":"ofr20101289","displayToPublicDate":"2011-02-16T00:00:00","publicationYear":"2011","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":"2010-1289","title":"Microphotographs of cyanobacteria documenting the effects of various cell-lysis techniques","docAbstract":"Cyanotoxins are a group of organic compounds biosynthesized intracellularly by many species of cyanobacteria found in surface water. The United States Environmental Protection Agency has listed cyanotoxins on the Safe Drinking Water Act's Contaminant Candidate List 3 for consideration for future regulation to protect public health. Cyanotoxins also pose a risk to humans and other organisms in a variety of other exposure scenarios. Accurate and precise analytical measurements of cyanotoxins are critical to the evaluation of concentrations in surface water to address the human health and ecosystem effects. A common approach to total cyanotoxin measurement involves cell membrane disruption to release the cyanotoxins to the dissolved phase followed by filtration to remove cellular debris. Several methods have been used historically, however no standard protocols exist to ensure this process is consistent between laboratories before the dissolved phase is measured by an analytical technique for cyanotoxin identification and quantitation. No systematic evaluation has been conducted comparing the multiple laboratory sample processing techniques for physical disruption of cell membrane or cyanotoxins recovery. Surface water samples collected from lakes, reservoirs, and rivers containing mixed assemblages of organisms dominated by cyanobacteria, as well as laboratory cultures of species-specific cyanobacteria, were used as part of this study evaluating multiple laboratory cell-lysis techniques in partnership with the U.S. Environmental Protection Agency. Evaluated extraction techniques included boiling, autoclaving, sonication, chemical treatment, and freeze-thaw. Both treated and untreated samples were evaluated for cell membrane integrity microscopically via light, epifluorescence, and epifluorescence in the presence of a DNA stain. The DNA stain, which does not permeate live cells with intact membrane structures, was used as an indicator for cyanotoxin release into the dissolved phase. Of the five techniques, sonication (at 70 percent) was most effective at complete cell destruction while QuikLyse (Trademarked) was least effective. Autoclaving, boiling, and sequential freeze-thaw were moderately effective in physical destruction of colonies and filaments.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101289","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Rosen, B.H., Loftin, K.A., Smith, C.E., Lane, R., and Keydel, S.P., 2011, Microphotographs of cyanobacteria documenting the effects of various cell-lysis techniques: U.S. Geological Survey Open-File Report 2010-1289, xvii, 203 p., https://doi.org/10.3133/ofr20101289.","productDescription":"xvii, 203 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":14495,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1289/","linkFileType":{"id":5,"text":"html"}},{"id":116967,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1289.bmp"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a57e4b07f02db62e505","contributors":{"authors":[{"text":"Rosen, Barry H. 0000-0002-8016-3939 brosen@usgs.gov","orcid":"https://orcid.org/0000-0002-8016-3939","contributorId":2844,"corporation":false,"usgs":true,"family":"Rosen","given":"Barry","email":"brosen@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":307410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":307409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Christopher E.","contributorId":20026,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":307411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, Rachael F. 0000-0001-9202-0612","orcid":"https://orcid.org/0000-0001-9202-0612","contributorId":22448,"corporation":false,"usgs":true,"family":"Lane","given":"Rachael F.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":307412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keydel, Susan P.","contributorId":70076,"corporation":false,"usgs":true,"family":"Keydel","given":"Susan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":307413,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":99047,"text":"ofr20101288 - 2011 - Helicopter electromagnetic and magnetic geophysical survey data, Swedeburg and Sprague study areas, eastern Nebraska, May 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ofr20101288","displayToPublicDate":"2011-02-15T00:00:00","publicationYear":"2011","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":"2010-1288","title":"Helicopter electromagnetic and magnetic geophysical survey data, Swedeburg and Sprague study areas, eastern Nebraska, May 2009","docAbstract":"This report is a release of digital data from a helicopter electromagnetic and magnetic survey conducted by Fugro Airborne Surveys in areas of eastern Nebraska as part of a joint hydrologic study by the Lower Platte North and Lower Platte South Natural Resources Districts, and the U.S. Geological Survey. The survey flight lines covered 1,418.6 line km (882 line mile). The survey was flown from April 22 to May 2, 2009. The objective of the contracted survey was to improve the understanding of the relation between surface water and groundwater systems critical to developing groundwater models used in management programs for water resources. \r\nThe electromagnetic equipment consisted of six different coil-pair orientations that measured resistivity at separate frequencies from about 400 hertz to about 140,000 hertz. The electromagnetic data were converted to georeferenced electrical resistivity grids and maps for each frequency that represent different approximate depths of investigation for each survey area. The electrical resistivity data were input into a numerical inversion to estimate resistivity variations with depth. In addition to the electromagnetic data, total field magnetic data and digital elevation data were collected. Data released in this report consist of flight line data, digital grids, digital databases of the inverted electrical resistivity with depth, and digital maps of the apparent resistivity and total magnetic field. The range of subsurface investigation is comparable to the depth of shallow aquifers. The survey areas, Swedeburg and Sprague, were chosen based on results from test flights in 2007 in eastern Nebraska and needs of local water managers. The geophysical and hydrologic information from U.S. Geological Survey studies are being used by resource managers to develop groundwater resource plans for the area.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101288","collaboration":"Prepared in Cooperation with the Lower Platte North and Lower Platte South Natural Resources Districts","usgsCitation":"Smith, B.D., Abraham, J., Cannia, J.C., Minsley, B., Ball, L., Steele, G.V., and Deszcz-Pan, M., 2011, Helicopter electromagnetic and magnetic geophysical survey data, Swedeburg and Sprague study areas, eastern Nebraska, May 2009: U.S. Geological Survey Open-File Report 2010-1288, v, 31 p.; Figures; Tables; Appendices; Downloads Directory, https://doi.org/10.3133/ofr20101288.","productDescription":"v, 31 p.; Figures; Tables; Appendices; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2009-04-22","temporalEnd":"2009-05-02","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":116016,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1288.png"},{"id":14490,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1288/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.5,40.5 ], [ -97.5,41.25 ], [ -95.75,41.25 ], [ -95.75,40.5 ], [ -97.5,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db635de2","contributors":{"authors":[{"text":"Smith, B. D.","contributorId":71123,"corporation":false,"usgs":true,"family":"Smith","given":"B.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":307397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abraham, J.D.","contributorId":20686,"corporation":false,"usgs":true,"family":"Abraham","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":307393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cannia, J. C.","contributorId":105258,"corporation":false,"usgs":true,"family":"Cannia","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":307399,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, B. J.","contributorId":52107,"corporation":false,"usgs":true,"family":"Minsley","given":"B. J.","affiliations":[],"preferred":false,"id":307395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ball, L.B.","contributorId":37683,"corporation":false,"usgs":true,"family":"Ball","given":"L.B.","email":"","affiliations":[],"preferred":false,"id":307394,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steele, G. V.","contributorId":62543,"corporation":false,"usgs":true,"family":"Steele","given":"G.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":307396,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Deszcz-Pan, M.","contributorId":102422,"corporation":false,"usgs":true,"family":"Deszcz-Pan","given":"M.","email":"","affiliations":[],"preferred":false,"id":307398,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":99041,"text":"fs20113007 - 2011 - Assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios","interactions":[],"lastModifiedDate":"2019-03-05T09:55:53","indexId":"fs20113007","displayToPublicDate":"2011-02-11T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3007","title":"Assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios","docAbstract":"The Energy Independence and Security Act of 2007 (EISA) requires the U.S. Department of the Interior (DOI) to develop a methodology and conduct an assessment of carbon storage, carbon sequestration, and greenhouse-gas (GHG) fluxes in the Nation's ecosystems. The U.S. Geological Survey (USGS) has developed and published the methodology (U.S. Geological Survey Scientific Investigations Report 2010-5233) and has assembled an interdisciplinary team of scientists to conduct the assessment over the next three to four years, commencing in October 2010. The assessment will fulfill specific requirements of the EISA by (1) quantifying, measuring, and monitoring carbon sequestration and GHG fluxes using national datasets and science tools such as remote sensing, and biogeochemical and hydrological models, (2) evaluating a range of management and restoration activities for their effects on carbon-sequestration capacity and the reduction of GHG fluxes, and (3) assessing effects of climate change and other controlling processes (including wildland fires) on carbon uptake and GHG emissions from ecosystems. \r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20113007","usgsCitation":"Zhu, Z., and Stackpoole, S., 2011, Assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios: U.S. Geological Survey Fact Sheet 2011-3007, 2 p., https://doi.org/10.3133/fs20113007.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024560","costCenters":[],"links":[{"id":126191,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3007.bmp"},{"id":14481,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3007/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672ab5","contributors":{"authors":[{"text":"Zhu, Zhi-Liang","contributorId":70726,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhi-Liang","affiliations":[],"preferred":false,"id":307364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stackpoole, Sarah","contributorId":67832,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","affiliations":[],"preferred":false,"id":307363,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99034,"text":"fs20103123 - 2011 - Effects of climate change and land use on water resources in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2016-04-12T17:53:13","indexId":"fs20103123","displayToPublicDate":"2011-02-08T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3123","title":"Effects of climate change and land use on water resources in the Upper Colorado River Basin","docAbstract":"<p>The health of the Colorado River watershed is critical to the socioeconomic and ecosystem well-being of the Southwestern United States. Water in springs, streams, and rivers supports a range of aquatic and riparian ecosystems that contain many endangered species. Terrestrial habitats support a wide array of plants and wildlife. In addition, this region is enjoyed by millions of people annually for its recreational and esthetic opportunities. The Colorado River provides water for about 25 million people and is used to irrigate 2.5 million acres of farmland. However, competition for this water is expected to increase as human populations dependent on this water are projected to increase to 38 million by 2020. Climate change is expected to further exacerbate water issues in this region. Drought in the Southwest during 2000-04, caused by both reduced precipitation and a series of the hottest years on record, resulted in streamflows lower than during the 1930s Dust Bowl or the 1950s. Increased temperatures alone are a major factor in reducing surface-water flows in this region. For instance, precipitation received during the winter of 2005 was at the 100-year average. However, low soil moisture and high January-July temperatures resulted in flows that were only 75 percent of average. Climate models predict future warmer temperatures and reduced precipitation in the Upper Colorado River Basin (UCRB), which would reduce water available to humans and ecosystems.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103123","usgsCitation":"Belnap, J., and Campbell, K., 2011, Effects of climate change and land use on water resources in the Upper Colorado River Basin: U.S. Geological Survey Fact Sheet 2010-3123, 6 p., https://doi.org/10.3133/fs20103123.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":126208,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3123.png"},{"id":14474,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3123/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona, Colorado, New Mexico, 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jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":307345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, K.","contributorId":63351,"corporation":false,"usgs":false,"family":"Campbell","given":"K.","affiliations":[{"id":47665,"text":"St. Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN, USA","active":true,"usgs":false}],"preferred":false,"id":307346,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99026,"text":"sir20105063 - 2011 - Low flow of streams in the Susquehanna River basin of New York","interactions":[],"lastModifiedDate":"2012-03-08T17:16:39","indexId":"sir20105063","displayToPublicDate":"2011-02-05T00:00:00","publicationYear":"2011","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":"2010-5063","title":"Low flow of streams in the Susquehanna River basin of New York","docAbstract":"The principal source of streamflow during periods of low flow in the Susquehanna River basin of New York is the discharge of groundwater from sand-and-gravel deposits. Spatial variation in low flow is mostly a function of differences in three watershed properties: the amount of water that is introduced to the watershed and available for runoff, the extent of surficial sand and gravel relative to till-mantled bedrock, and the extent of wetlands. These three properties were consistently significant in regression equations that were developed to estimate several indices of low flow expressed in cubic feet per second or in cubic feet per second per square mile. The equations explain 90 to 99 percent of the spatial variation in low flow. A few equations indicate that underflow that bypasses streamflow-measurement sites through permeable sand and gravel can significantly decrease low flows. Analytical and numerical groundwater-flow models indicate that spatial extent, hydraulic conductivity and thickness, storage capacity, and topography of stratified sandand- gravel deposits affect low-flow yields from those deposits. Model-simulated discharge of groundwater to streams at low flow reaches a maximum where hydraulic-conductivity values are about 15 feet per day (in valleys 0.5 mile wide) to 60 feet per day (in valleys 1 mile wide). These hydraulic-conductivity values are much larger than those that are considered typical of till and bedrock, but smaller than values reported for productive sand-and-gravel aquifers in some valley reaches in New York. Differences in the properties of till and bedrock and in land-surface slope or relief within the Susquehanna River basin of New York apparently have little effect on low flow.\r\n\r\nThree regression equations were selected for practical application in estimating 7-day mean low flows in cubic feet per second with 10-year and 2-year recurrence intervals, and 90-percent flow duration, at ungaged sites draining more than 30 square miles; standard errors were 0.88, 1.40, and 1.95 cubic feet per second, respectively. Equations that express low flows in cubic feet per second per square mile were selected for estimating these three indices at ungaged sites draining less than 30 square miles; standard errors were 0.012, 0.018, and 0.022 cubic feet per second per square mile, respectively.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105063","usgsCitation":"Randall, A.D., 2011, Low flow of streams in the Susquehanna River basin of New York: U.S. Geological Survey Scientific Investigations Report 2010-5063, vi, 57 p. , https://doi.org/10.3133/sir20105063.","productDescription":"vi, 57 p. ","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":126225,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5063.gif"},{"id":14466,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5063/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a74e4b07f02db6448fb","contributors":{"authors":[{"text":"Randall, Allan D. arandall@usgs.gov","contributorId":1168,"corporation":false,"usgs":true,"family":"Randall","given":"Allan","email":"arandall@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307310,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99023,"text":"sir20115016 - 2011 - Control of Precambrian basement deformation zones on emplacement of the Laramide Boulder batholith and Butte mining district, Montana, United States","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"sir20115016","displayToPublicDate":"2011-02-03T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5016","title":"Control of Precambrian basement deformation zones on emplacement of the Laramide Boulder batholith and Butte mining district, Montana, United States","docAbstract":"What are the roles of deep Precambrian basement deformation zones in the localization of subsequent shallow-crustal deformation zones and magmas? The Paleoproterozoic Great Falls tectonic zone and its included Boulder batholith (Montana, United States) provide an opportunity to examine the importance of inherited deformation fabrics in batholith emplacement and the localization of magmatic-hydrothermal mineral deposits. Northeast-trending deformation fabrics predominate in the Great Falls tectonic zone, which formed during the suturing of Paleoproterozoic and Archean cratonic masses approximately 1,800 mega-annum (Ma). Subsequent Mesoproterozoic to Neoproterozoic deformation fabrics trend northwest. Following Paleozoic through Early Cretaceous sedimentation, a Late Cretaceous fold-and-thrust belt with associated strike-slip faulting developed across the region, wherein some Proterozoic faults localized thrust faulting, while others were reactivated as strike-slip faults. The 81- to 76-Ma Boulder batholith was emplaced along the reactivated central Paleoproterozoic suture in the Great Falls tectonic zone. Early-stage Boulder batholith plutons were emplaced concurrent with east-directed thrust faulting and localized primarily by northwest-trending strike-slip and related faults. The late-stage Butte Quartz Monzonite pluton was localized in a northeast-trending pull-apart structure that formed behind the active thrust front and is axially symmetric across the underlying northeast-striking Paleoproterozoic fault zone, interpreted as a crustal suture. The modeling of potential-field geophysical data indicates that pull-apart?stage magmas fed into the structure through two funnel-shaped zones beneath the batholith. Renewed magmatic activity in the southern feeder from 66 to 64 Ma led to the formation of two small porphyry-style copper-molybdenum deposits and ensuing world-class polymetallic copper- and silver-bearing veins in the Butte mining district. Vein orientations parallel joints in the Butte Quartz Monzonite that, in turn, mimic Precambrian deformation fabrics found outside the district. The faults controlling the Butte veins are interpreted to have formed through activation under shear of preexisting northeast-striking joints as master faults from which splay faults formed along generally east-west and northwest joint plane orientations.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115016","usgsCitation":"Berger, B.R., Hildenbrand, T.G., and O’Neill, J.M., 2011, Control of Precambrian basement deformation zones on emplacement of the Laramide Boulder batholith and Butte mining district, Montana, United States: U.S. Geological Survey Scientific Investigations Report 2011-5016, vi, 29 p., https://doi.org/10.3133/sir20115016.","productDescription":"vi, 29 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":126229,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5016.bmp"},{"id":14459,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5016/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120,30 ], [ -120,50 ], [ -90,50 ], [ -90,30 ], [ -120,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db686856","contributors":{"authors":[{"text":"Berger, Byron R. bberger@usgs.gov","contributorId":1490,"corporation":false,"usgs":true,"family":"Berger","given":"Byron","email":"bberger@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":307303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hildenbrand, Thomas G.","contributorId":61787,"corporation":false,"usgs":true,"family":"Hildenbrand","given":"Thomas","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":307304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neill, J. Michael jmoneill@usgs.gov","contributorId":99522,"corporation":false,"usgs":true,"family":"O’Neill","given":"J.","email":"jmoneill@usgs.gov","middleInitial":"Michael","affiliations":[],"preferred":false,"id":307305,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216675,"text":"70216675 - 2011 - Evaluation of a present-day climate simulation with a new coupled atmosphere-ocean model GENMOM","interactions":[],"lastModifiedDate":"2020-11-27T19:41:56.814913","indexId":"70216675","displayToPublicDate":"2011-02-02T13:36:26","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1818,"text":"Geoscientific Model Development","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a present-day climate simulation with a new coupled atmosphere-ocean model GENMOM","docAbstract":"<p>We present a new, non-flux corrected AOGCM, GENMOM, that combines the GENESIS version 3 atmospheric GCM (Global Environmental and Ecological Simulation of Interactive Systems) and MOM2 (Modular Ocean Model version 2) nominally at T31 resolution. We evaluate GENMOM by comparison with reanalysis products (e.g., NCEP2) and three models used in the IPCC AR4 assessment. GENMOM produces a global temperature bias of 0.6 ◦C. Atmospheric features such as the jet stream structure and major semi-permanent sea level pressure centers are well simulated as is the mean planetary-scale wind structure that is needed to produce the correct position of stormtracks. Most ocean surface currents are reproduced except where they are not resolvable at T31 resolution. Overall, GENMOM captures reasonably well the observed gradients and spatial distributions of annual surface temperature and precipitation and the simulations are on par with other AOGCMs. Deficiencies in the GENMOM simulations include a warm bias in the surface temperature over the southern oceans, a split in the ITCZ and weaker-than-observed overturning circulation.</p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/gmd-4-69-2011","usgsCitation":"Alder, J.R., Hostetler, S.W., Pollard, D., and Schmittner, A., 2011, Evaluation of a present-day climate simulation with a new coupled atmosphere-ocean model GENMOM: Geoscientific Model Development, v. 4, p. 69-83, https://doi.org/10.5194/gmd-4-69-2011.","productDescription":"15 p.","startPage":"69","endPage":"83","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":475030,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/gmd-4-69-2011","text":"Publisher Index Page"},{"id":380858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationDate":"2011-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Alder, J. R.","contributorId":86096,"corporation":false,"usgs":false,"family":"Alder","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":805857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":805858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollard, D.","contributorId":96503,"corporation":false,"usgs":true,"family":"Pollard","given":"D.","affiliations":[],"preferred":false,"id":805859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmittner, A.","contributorId":18977,"corporation":false,"usgs":true,"family":"Schmittner","given":"A.","affiliations":[],"preferred":false,"id":805860,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70118844,"text":"70118844 - 2011 - Optimization of biomass composition explains microbial growth-stoichiometry relationships","interactions":[],"lastModifiedDate":"2014-07-30T16:43:39","indexId":"70118844","displayToPublicDate":"2011-02-01T16:41:53","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":740,"text":"American Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Optimization of biomass composition explains microbial growth-stoichiometry relationships","docAbstract":"Integrating microbial physiology and biomass stoichiometry opens far-reaching possibilities for linking microbial dynamics to ecosystem processes. For example, the growth-rate hypothesis (GRH) predicts positive correlations among growth rate, RNA content, and biomass phosphorus (P) content. Such relationships have been used to infer patterns of microbial activity, resource availability, and nutrient recycling in ecosystems. However, for microorganisms it is unclear under which resource conditions the GRH applies. We developed a model to test whether the response of microbial biomass stoichiometry to variable resource stoichiometry can be explained by a trade-off among cellular components that maximizes growth. The results show mechanistically why the GRH is valid under P limitation but not under N limitation. We also show why variability of growth rate-biomass stoichiometry relationships is lower under P limitation than under N or C limitation. These theoretical results are supported by experimental data on macromolecular composition (RNA, DNA, and protein) and biomass stoichiometry from two different bacteria. In addition, compared to a model with strictly homeostatic biomass, the optimization mechanism we suggest results in increased microbial N and P mineralization during organic-matter decomposition. Therefore, this mechanism may also have important implications for our understanding of nutrient cycling in ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Essex Institute","publisherLocation":"Salem, MA","doi":"10.1086/657684","usgsCitation":"Franklin, O., Hall, E., Kaiser, C., Battin, T., and Richter, A., 2011, Optimization of biomass composition explains microbial growth-stoichiometry relationships: American Naturalist, v. 177, no. 2, p. E29-E42, https://doi.org/10.1086/657684.","productDescription":"14 p.","startPage":"E29","endPage":"E42","numberOfPages":"14","costCenters":[],"links":[{"id":488218,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1086/657684","text":"Publisher Index Page"},{"id":291433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291432,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1086/657684"}],"volume":"177","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe7fb5e4b0824b2d1478e8","contributors":{"authors":[{"text":"Franklin, O.","contributorId":31686,"corporation":false,"usgs":true,"family":"Franklin","given":"O.","email":"","affiliations":[],"preferred":false,"id":497333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, E. K.","contributorId":85501,"corporation":false,"usgs":true,"family":"Hall","given":"E. K.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":497335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaiser, C.","contributorId":28174,"corporation":false,"usgs":true,"family":"Kaiser","given":"C.","email":"","affiliations":[],"preferred":false,"id":497332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Battin, T.J.","contributorId":87461,"corporation":false,"usgs":true,"family":"Battin","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":497336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richter, A.","contributorId":71486,"corporation":false,"usgs":true,"family":"Richter","given":"A.","email":"","affiliations":[],"preferred":false,"id":497334,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70243791,"text":"70243791 - 2011 - Porosity variability in limestone sequences","interactions":[],"lastModifiedDate":"2023-05-22T13:11:51.345217","indexId":"70243791","displayToPublicDate":"2011-02-01T15:57:30","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Porosity variability in limestone sequences","docAbstract":"<p><span>Porosity is the state of being porous, as measured by the percentage of bulk volume of a rock or soil that is occupied by space, whether isolated or connected. In hydrocarbon-bearing limestone settings, subsurface porous strata containing the oil or gas usually underlie non-porous caprock through which hydrocarbons cannot pass. In settings, subsurface freshwater aquifers beneath caprock can become contaminated by saltwater intrusion during periods of drought. Islands of the Florida Keys consist of two types of emergent 125-ka limestone, a highly porous fossil coral reef with large voids and a less porous oolite with small grains and interstices. Both limestones are capped by impervious laminated Holocene calcrete whose dimensions differ greatly (Figure&nbsp;</span><a href=\"https://link.springer.com/referenceworkentry/10.1007/978-90-481-2639-2_244#Fig1_244\" data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" data-mce-href=\"https://link.springer.com/referenceworkentry/10.1007/978-90-481-2639-2_244#Fig1_244\">1a</a><span>&nbsp;and b). Porosity variability in the limestones is thought to be the cause. The less permeable oolite retained rainfall moisture longer, allowing longer periods of calcrete buildup. Reddish and brownish layers in both illustrated calcrete samples represent periods of influx of non-carbonate minerals on African dust. The hiatus or gap in these rock records represents an interval of &gt;115 kyr during which no marine or terrestrial deposition is recorded.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of modern coral reefs: Structure, form and process","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-90-481-2639-2_244","usgsCitation":"Lidz, B.H., 2011, Porosity variability in limestone sequences, chap. <i>of</i> Encyclopedia of modern coral reefs: Structure, form and process, p. 821-822, https://doi.org/10.1007/978-90-481-2639-2_244.","productDescription":"2 p.","startPage":"821","endPage":"822","ipdsId":"IP-011995","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":417267,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Hopley, David","contributorId":305582,"corporation":false,"usgs":false,"family":"Hopley","given":"David","email":"","affiliations":[],"preferred":false,"id":873281,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Lidz, Barbara H blidz@usgs.gov","contributorId":305596,"corporation":false,"usgs":true,"family":"Lidz","given":"Barbara","email":"blidz@usgs.gov","middleInitial":"H","affiliations":[],"preferred":true,"id":873280,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70150344,"text":"70150344 - 2011 - Age, growth, mortality, and abundance of lake sturgeon in the Grasse River, New York, USA","interactions":[],"lastModifiedDate":"2015-06-29T11:25:12","indexId":"70150344","displayToPublicDate":"2011-02-01T12:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Age, growth, mortality, and abundance of lake sturgeon in the Grasse River, New York, USA","docAbstract":"<p>An increased understanding of lake sturgeon (<i>Acipenser fulvescens</i>) population dynamics is a key requirement for successful management efforts. Little is known regarding the Grasse River population of lake sturgeon except that it is one of a few populations in New York State where spawning has been documented. Thus our purpose was to assess the current status of lake sturgeon in the Grasse River system, including age, growth, mortality, and abundance. Age was determined for 196 of 211 lake sturgeon by examination of sectioned pectoral fin rays. Ages ranged from 0 to 32 years and the annual mortality rate for fish between ages 7 and 14 was 16.8%. The weight (<i>W</i>, g) to total length (TL, mm) relationship was <i>W</i> = 1.281 x 10<sup>-6</sup>TL<sup>3.202</sup>. The von Bertalanffy growth equation was TL = 1913(1-<i>e</i><sup>-0.0294(<i>t</i>+9.5691)</sup>). While the range of observed ages was similar to that of nearby St. Lawrence River populations, mean weight at age for an individual at 1000 mm TL was lower than that observed for lake sturgeon within Lake St. Francis of the St. Lawrence River. Predicted growth based on von Bertalanffy parameters was similar to that observed for the nearby Lake St. Francis. An open population estimator using the POPAN sub-module in the Program MARK produced an abundance estimate of 793 lake sturgeon (95% CI = 337-1249).</p>","language":"English","publisher":"Wiley-Blackwell","publisherLocation":"Berlin, Germany","doi":"10.1111/j.1439-0426.2010.01599.x","usgsCitation":"Trested, D., and Isely, J.J., 2011, Age, growth, mortality, and abundance of lake sturgeon in the Grasse River, New York, USA: Journal of Applied Ichthyology, v. 27, no. 1, p. 13-19, https://doi.org/10.1111/j.1439-0426.2010.01599.x.","productDescription":"7 p.","startPage":"13","endPage":"19","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-020803","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2010-11-16","publicationStatus":"PW","scienceBaseUri":"55926c55e4b0b6d21dd676ae","contributors":{"authors":[{"text":"Trested, D.G.","contributorId":98093,"corporation":false,"usgs":true,"family":"Trested","given":"D.G.","email":"","affiliations":[],"preferred":false,"id":556719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isely, J. Jeffery","contributorId":97224,"corporation":false,"usgs":true,"family":"Isely","given":"J.","email":"","middleInitial":"Jeffery","affiliations":[],"preferred":false,"id":563918,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}