{"pageNumber":"560","pageRowStart":"13975","pageSize":"25","recordCount":46679,"records":[{"id":70048418,"text":"ofr20131238 - 2013 - The U.S. Geological Survey Bird Banding Laboratory: an integrated scientific program supporting research and conservation of North American birds","interactions":[],"lastModifiedDate":"2024-03-04T19:06:46.502308","indexId":"ofr20131238","displayToPublicDate":"2013-09-26T09:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1238","title":"The U.S. Geological Survey Bird Banding Laboratory: an integrated scientific program supporting research and conservation of North American birds","docAbstract":"The U.S. Geological Survey (USGS) Bird Banding Laboratory (BBL) was established in 1920 after ratification of the Migratory Bird Treaty Act with the United Kingdom in 1918. During World War II, the BBL was moved from Washington, D.C., to what is now the USGS Patuxent Wildlife Research Center (PWRC). The BBL issues permits and bands to permittees to band birds, records bird band recoveries or encounters primarily through telephone and Internet reporting, and manages more than 72 million banding records and more than 4.5 million records of encounters using state-of-the-art technologies. Moreover, the BBL also issues bands and manages banding and encounter data for the Canadian Bird Banding Office (BBO). Each year approximately 1 million bands are shipped from the BBL to banders in the United States and Canada, and nearly 100,000 encounter reports are entered into the BBL systems. Banding data are essential for regulatory programs, especially migratory waterfowl harvest regulations.\n\nThe USGS BBL works closely with the U.S. Fish and Wildlife Service (USFWS) to develop regulations for the capture, handling, banding, and marking of birds. These regulations are published in the Code of Federal Regulations (CFR). In 2006, the BBL and the USFWS Division of Migratory Bird Management (DMBM) began a comprehensive revision of the banding regulations.\n\nThe bird banding community has three major constituencies: Federal and State agency personnel involved in the management and conservation of bird populations that include the Flyway Councils, ornithological research scientists, and avocational banders.\n\nWith increased demand for banding activities and relatively constant funding, a Federal Advisory Committee (Committee) was chartered and reviewed the BBL program in 2005. The final report of the Committee included six major goals and 58 specific recommendations, 47 of which have been addressed by the BBL. Specifically, the Committee recommended the BBL continue to support science, conservation, and management of birds through the use of banding and banding data and that the BBL be managed by the USGS and located at the USGS Patuxent Wildlife Research Center (PWRC) in Laurel, Maryland. Recommendations that have not been implemented include those already addressed by other organizations, as well as lower priority, such as developing a BBL business plan.\n\nThe comprehensive review and recommendations of the Committee, the response of the BBL to address the Committee’s recommendations, and other improvements to its operations have positioned the BBL to provide a high level of service to the banding community. As new technologies are developed and incorporated into BBL operations, further efficiencies are expected to enable the BBL to continue to meet emerging scientific needs.","language":"English","publisher":"U.S. Geological Surey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131238","usgsCitation":"Smith, G.J., 2013, The U.S. Geological Survey Bird Banding Laboratory: an integrated scientific program supporting research and conservation of North American birds: U.S. Geological Survey Open-File Report 2013-1238, iv, 88 p., https://doi.org/10.3133/ofr20131238.","productDescription":"iv, 88 p.","numberOfPages":"96","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":278107,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1238/"},{"id":278109,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131238.jpg"},{"id":278108,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1238/pdf/ofr2013-1238.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52454a27e4b0b3d37307e162","contributors":{"authors":[{"text":"Smith, Gregory J. gsmith@usgs.gov","contributorId":3436,"corporation":false,"usgs":true,"family":"Smith","given":"Gregory","email":"gsmith@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":484565,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70127139,"text":"70127139 - 2013 - Effects of stock use and backpackers on water quality in wilderness in Sequoia and Kings Canyon National Parks, USA","interactions":[],"lastModifiedDate":"2014-09-26T09:29:08","indexId":"70127139","displayToPublicDate":"2013-09-26T09:24:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of stock use and backpackers on water quality in wilderness in Sequoia and Kings Canyon National Parks, USA","docAbstract":"During 2010-2011, a study was conducted in Sequoia and Kings Canyon National Parks (SEKI) to evaluate the influence of pack animals (stock) and backpackers on water quality in wilderness lakes and streams. The study had three main components: (1) a synoptic survey of water quality in wilderness areas of the parks, (2) paired water-quality sampling above and below several areas with differing types and amounts of visitor use, and (3) intensive monitoring at six sites to document temporal variations in water quality. Data from the synoptic water-quality survey indicated that wilderness lakes and streams are dilute and have low nutrient and Escherichia coli (E. coli) concentrations. The synoptic survey sites were categorized as minimal use, backpacker use, or mixed use (stock and backpackers), depending on the most prevalent type of use upstream from the sampling locations. Sites with mixed use tended to have higher concentrations of most constituents (including E.coli) than those categorized as minimal-use (p≤0.05); concentrations at backpacker-use sites were intermediate. Data from paired-site sampling indicated that E.coli, total coliform, and particulate phosphorus concentrations were greater in streams downstream from mixed-use areas than upstream from those areas (p≤0.05). Paired-site data also indicated few statistically significant differences in nutrient, E. coli, or total coliform concentrations in streams upstream and downstream from backpacker-use areas. The intensive-monitoring data indicated that nutrient and E. coli concentrations normally were low, except during storms, when notable increases in concentrations of E.coli, nutrients, dissolved organic carbon, and turbidity occurred. In summary, results from this study indicate that water quality in SEKI wilderness generally is good, except during storms; and visitor use appears to have a small, but statistically significant influence on stream water quality.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00267-013-0166-x","usgsCitation":"Clow, D.W., Forrester, H., Miller, B., Roop, H., Sickman, J.O., Ryu, H., and Santo Domingo, J., 2013, Effects of stock use and backpackers on water quality in wilderness in Sequoia and Kings Canyon National Parks, USA: Environmental Management, v. 52, no. 6, p. 1400-1414, https://doi.org/10.1007/s00267-013-0166-x.","productDescription":"15 p.","startPage":"1400","endPage":"1414","ipdsId":"IP-049303","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":473522,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.escholarship.org/uc/item/6c1258vp","text":"External Repository"},{"id":294570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294564,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-013-0166-x"}],"country":"United States","otherGeospatial":"Kings Canyon National Park;Sequoia National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.98,36.29 ], [ -118.98,37.24 ], [ -118.23,37.24 ], [ -118.23,36.29 ], [ -118.98,36.29 ] ] ] } } ] }","volume":"52","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-09-27","publicationStatus":"PW","scienceBaseUri":"54268017e4b0bb3382a47652","contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forrester, Harrison","contributorId":21084,"corporation":false,"usgs":true,"family":"Forrester","given":"Harrison","affiliations":[],"preferred":false,"id":502296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Benjamin","contributorId":79818,"corporation":false,"usgs":true,"family":"Miller","given":"Benjamin","affiliations":[],"preferred":false,"id":502300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roop, Heidi","contributorId":64581,"corporation":false,"usgs":true,"family":"Roop","given":"Heidi","email":"","affiliations":[],"preferred":false,"id":502299,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sickman, James O.","contributorId":30741,"corporation":false,"usgs":true,"family":"Sickman","given":"James","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":502297,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ryu, Hodon","contributorId":56145,"corporation":false,"usgs":true,"family":"Ryu","given":"Hodon","email":"","affiliations":[],"preferred":false,"id":502298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Santo Domingo, Jorge","contributorId":20264,"corporation":false,"usgs":true,"family":"Santo Domingo","given":"Jorge","affiliations":[],"preferred":false,"id":502295,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70048409,"text":"ofr20131173 - 2013 - Laboratory evaluation of the Level TROLL 100 manufactured by In-Situ Inc.: results of pressure and temperature tests","interactions":[],"lastModifiedDate":"2013-09-25T14:19:26","indexId":"ofr20131173","displayToPublicDate":"2013-09-25T14:13:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1173","title":"Laboratory evaluation of the Level TROLL 100 manufactured by In-Situ Inc.: results of pressure and temperature tests","docAbstract":"The Level TROLL 100 manufactured by In-Situ Inc. was evaluated by the U.S. Geological Survey (USGS) Hydrologic Instrumentation Facility (HIF) for conformance to the manufacturer’s accuracy specifications for measuring pressure throughout the device’s operating temperature range. The Level TROLL 100 is a submersible, sealed, water-level sensing device with an operating pressure range equivalent to 0 to 30 feet of water over a temperature range of −20 to 50 degrees Celsius (°C). The device met the manufacturer’s stated accuracy specifications for pressure within its temperature-compensated operating range of 0 to 50 °C. The device’s accuracy specifications did not meet established USGS requirements for primary water-stage sensors used in the operation of streamgages, but the Level TROLL 100 may be suitable for other hydrologic data-collection applications. As a note, the Level TROLL 100 is not designed to meet USGS accuracy requirements. Manufacturer accuracy specifications were evaluated, and the procedures followed and the results obtained are described in this report. USGS accuracy requirements are routinely examined and reported when instruments are evaluated at the HIF.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131173","usgsCitation":"Carnley, M.V., Fulford, J.M., and Brooks, M.H., 2013, Laboratory evaluation of the Level TROLL 100 manufactured by In-Situ Inc.: results of pressure and temperature tests: U.S. Geological Survey Open-File Report 2013-1173, v, 12 p., https://doi.org/10.3133/ofr20131173.","productDescription":"v, 12 p.","numberOfPages":"22","onlineOnly":"Y","costCenters":[{"id":339,"text":"Hydrologic Instrumentation Facility","active":false,"usgs":true}],"links":[{"id":278099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131173.gif"},{"id":278097,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1173/"},{"id":278098,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1173/pdf/ofr2013-1173.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5243f811e4b05b217bad9ff1","contributors":{"authors":[{"text":"Carnley, Mark V. mcarnley@usgs.gov","contributorId":2723,"corporation":false,"usgs":true,"family":"Carnley","given":"Mark","email":"mcarnley@usgs.gov","middleInitial":"V.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":484555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulford, Janice M. jfulford@usgs.gov","contributorId":991,"corporation":false,"usgs":true,"family":"Fulford","given":"Janice","email":"jfulford@usgs.gov","middleInitial":"M.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":484554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Myron H. mhbrooks@usgs.gov","contributorId":4386,"corporation":false,"usgs":true,"family":"Brooks","given":"Myron","email":"mhbrooks@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":484556,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048405,"text":"sir20135161 - 2013 - Enhancements to the Mississippi Embayment Regional Aquifer Study (MERAS) groundwater-flow model and simulations of sustainable water-level scenarios","interactions":[],"lastModifiedDate":"2019-06-20T13:10:14","indexId":"sir20135161","displayToPublicDate":"2013-09-25T11:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5161","title":"Enhancements to the Mississippi Embayment Regional Aquifer Study (MERAS) groundwater-flow model and simulations of sustainable water-level scenarios","docAbstract":"

Arkansas continues to be one of the largest users of groundwater in the Nation. As such, long-term planning and management are essential to ensure continued availability of groundwater and surface water for years to come. The Mississippi Embayment Regional Aquifer Study (MERAS) model was developed previously as a tool to evaluate groundwater availability within the Mississippi embayment, which encompasses much of eastern Arkansas where the majority of groundwater is used. The Arkansas Water Plan is being updated for the first time since 1990 and serves as the State’s primary, comprehensive water-resources planning and guidance document. The MERAS model was selected as the best available tool for evaluation of specific water-use pumping scenarios that are currently being considered by the State of Arkansas. The model, developed as part of the U.S. Geological Survey Groundwater Resources Program’s assessment of the Nation’s groundwater availability, is proving to be invaluable to the State as it works toward development of a sustained yield pumping strategy. One aspect of this investigation was to evaluate multiple methods to improve the match of observed to simulated groundwater levels within the Mississippi River Valley alluvial and middle Claiborne (Sparta) aquifers in the MERAS model. Five primary methods were evaluated: (1) explicit simulation of evapotranspiration (ET), (2) upgrade of the Multi-Node Well (MNW2) Package, (3) geometry improvement within the Streamflow Routing (SFR) Package, (4) parameter estimation of select aquifer properties with pilot points, and (5) modification of water-use estimates. For the planning purposes of the Arkansas Water Plan, three scenarios were developed to evaluate potential future conditions: (1) simulation of previously optimized pumping values within the Mississippi River Valley alluvial and the middle Claiborne aquifers, (2) simulated prolonged effects of pumping at average recent (2000–5) rates, and (3) simulation of drawdown constraints on most pumping wells.

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The explicit simulation of ET indicated little, if any, improvement of model fit at the expense of much longer simulation time and was not included in further simulations. Numerous attempts to fully utilize the MNW2 Package were unsuccessful in achieving model stability, though modifications made to the water-use dataset remained intact. Final improvements in the residual statistics may be attributed to a single method, or a cumulative effect of all other methods (geometry improvement with the SFR Package, parameter estimation with pilot points, and modification of water-use estimates) attempted. The root mean squared error (RMSE) for all observations in the model is 22.65 feet (ft) over a range in observed hydraulic head of 741.66 ft. The RMSE for water-level observations in the Mississippi River Valley alluvial aquifer is 14.14 ft (an improvement of almost 3 ft) over a range in observed hydraulic head of 297.25 ft. The RMSE for the Sparta aquifer is 32.02 ft (an improvement of approximately 3 ft) over a range in observed hydraulic head of 634.94 ft.

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Three scenarios were developed to utilize a steady-state version of the MERAS model. Scenario 1 was developed to use pumping values resulting from the optimization of baseline rates (typically 1997 pumping rates) from previous optimization modeling of the alluvial aquifer and the Sparta aquifer. Scenario 2 was developed to evaluate the prolonged effects of pumping from the alluvial aquifer at recent pumping rates. Scenario 3A was designed to evaluate withdrawal limits from the alluvial aquifer by utilizing drawdown constraints equal to an altitude of approximately 50 percent of the predevelopment saturated thickness of the alluvial aquifer or 30 ft above the bottom of the alluvial aquifer, whichever was greater. The results of scenario 1 indicate large water-level declines throughout the area of the alluvial aquifer, regardless of the substitution of the optimized pumping values from earlier model simulations. The results of scenario 2 also indicate large areas of water-level decline, as compared to half of the saturated thickness, throughout the alluvial aquifer. The results of scenario 3A reveal some effects from the inclusion of multiple aquifers in a single simulation. The initial configuration of scenario 3A resulted in water levels well below the defined drawdown constraint, and some areas of depleted aquifer (water levels that are near or below the bottom of the aquifer) in east-central Arkansas. A fourth simulation (scenario 3B) was configured to apply the same drawdown constraints from the alluvial aquifer wells to the Sparta aquifer wells in the depleted area. These drawdown constraints reduce leakage from the alluvial aquifer to the underlying Sparta aquifer. This configuration did not produce depleted areas within the alluvial aquifer. Scenarios 3A and 3B indicate that even when pumping is limited in the alluvial aquifer, water levels in the alluvial aquifer may continue to decline in some areas because of pumping in the underlying Sparta aquifer.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135161","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission","usgsCitation":"Clark, B.R., Westerman, D.A., and Fugitt, D.T., 2013, Enhancements to the Mississippi Embayment Regional Aquifer Study (MERAS) groundwater-flow model and simulations of sustainable water-level scenarios: U.S. Geological Survey Scientific Investigations Report 2013-5161, iv, 29 p., https://doi.org/10.3133/sir20135161.","productDescription":"iv, 29 p.","numberOfPages":"36","onlineOnly":"Y","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":278090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135161.gif"},{"id":278148,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5161/pdf/sir2013-5161.pdf"},{"id":278089,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5161/"}],"projection":"Albers Equal-Area Conic projection","country":"United States","state":"Arkansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.054,30.4913 ], [ -94.054,38.5052 ], [ -86.5118,38.5052 ], [ -86.5118,30.4913 ], [ -94.054,30.4913 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5243f810e4b05b217bad9fed","contributors":{"authors":[{"text":"Clark, Brian R. 0000-0001-6611-3807 brclark@usgs.gov","orcid":"https://orcid.org/0000-0001-6611-3807","contributorId":1502,"corporation":false,"usgs":true,"family":"Clark","given":"Brian","email":"brclark@usgs.gov","middleInitial":"R.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":484539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Westerman, Drew A. 0000-0002-8522-776X dawester@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-776X","contributorId":4526,"corporation":false,"usgs":true,"family":"Westerman","given":"Drew","email":"dawester@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fugitt, D. Todd","contributorId":7835,"corporation":false,"usgs":true,"family":"Fugitt","given":"D.","email":"","middleInitial":"Todd","affiliations":[],"preferred":false,"id":484541,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048404,"text":"tm6A47 - 2013 - Use of multi-node wells in the Groundwater-Management Process of MODFLOW-2005 (GWM-2005)","interactions":[],"lastModifiedDate":"2013-09-25T10:07:43","indexId":"tm6A47","displayToPublicDate":"2013-09-25T10:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A47","title":"Use of multi-node wells in the Groundwater-Management Process of MODFLOW-2005 (GWM-2005)","docAbstract":"Many groundwater wells are open to multiple aquifers or to multiple intervals within a single aquifer. These types of wells can be represented in numerical simulations of groundwater flow by use of the Multi-Node Well (MNW) Packages developed for the U.S. Geological Survey’s MODFLOW model. However, previous versions of the Groundwater-Management (GWM) Process for MODFLOW did not allow the use of multi-node wells in groundwater-management formulations. This report describes modifications to the MODFLOW–2005 version of the GWM Process (GWM–2005) to provide for such use with the MNW2 Package. Multi-node wells can be incorporated into a management formulation as flow-rate decision variables for which optimal withdrawal or injection rates will be determined as part of the GWM–2005 solution process. In addition, the heads within multi-node wells can be used as head-type state variables, and, in that capacity, be included in the objective function or constraint set of a management formulation. Simple head bounds also can be defined to constrain water levels at multi-node wells. The report provides instructions for including multi-node wells in the GWM–2005 data-input files and a sample problem that demonstrates use of multi-node wells in a typical groundwater-management problem.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A47","collaboration":"Groundwater Resources Program","usgsCitation":"Ahlfeld, D.P., and Barlow, P.M., 2013, Use of multi-node wells in the Groundwater-Management Process of MODFLOW-2005 (GWM-2005): U.S. Geological Survey Techniques and Methods 6-A47, vi, 26 p., https://doi.org/10.3133/tm6A47.","productDescription":"vi, 26 p.","numberOfPages":"36","onlineOnly":"Y","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":278080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm6a47.gif"},{"id":278078,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/06/a47/"},{"id":278079,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/06/a47/pdf/tm6-a47.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5243f813e4b05b217bada001","contributors":{"authors":[{"text":"Ahlfeld, David P.","contributorId":49464,"corporation":false,"usgs":true,"family":"Ahlfeld","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barlow, Paul M. 0000-0003-4247-6456 pbarlow@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6456","contributorId":1200,"corporation":false,"usgs":true,"family":"Barlow","given":"Paul","email":"pbarlow@usgs.gov","middleInitial":"M.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":484537,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048400,"text":"sir20135117 - 2013 - Characterization of water quality and biological communities, Fish Creek, Teton County, Wyoming, 2007-2011","interactions":[],"lastModifiedDate":"2013-09-25T09:01:14","indexId":"sir20135117","displayToPublicDate":"2013-09-25T08:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5117","title":"Characterization of water quality and biological communities, Fish Creek, Teton County, Wyoming, 2007-2011","docAbstract":"

Fish Creek, an approximately 25-kilometer-long tributary to Snake River, is located in Teton County in western Wyoming near the town of Wilson. Fish Creek is an important water body because it is used for irrigation, fishing, and recreation and adds scenic value to the Jackson Hole properties it runs through. Public concern about nuisance growths of aquatic plants in Fish Creek has been increasing since the early 2000s. To address these concerns, the U.S. Geological Survey conducted a study in cooperation with the Teton Conservation District to characterize the hydrology, water quality, and biologic communities of Fish Creek during 2007–11.

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The hydrology of Fish Creek is strongly affected by groundwater contributions from the area known as the Snake River west bank, which lies east of Fish Creek and west of Snake River. Because of this continuous groundwater discharge to the creek, land-use activities in the west bank area can affect the groundwater quality. Evaluation of nitrate isotopes and dissolved-nitrate concentrations in groundwater during the study indicated that nitrate was entering Fish Creek from groundwater, and that the source of nitrate was commonly a septic/sewage effluent or manure source, or multiple sources, potentially including artificial nitrogen fertilizers, natural soil organic matter, and mixtures of sources.

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Concentrations of dissolved nitrate and orthophosphate, which are key nutrients for growth of aquatic plants, generally were low in Fish Creek and occasionally were less than reporting levels (not detected). One potential reason for the low nutrient concentrations is that nutrients were being consumed by aquatic plant life that increases during the summer growing season, as a result of the seasonal increase in temperature and larger number of daylight hours.

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Several aspects of Fish Creek’s hydrology contribute to higher productivity and biovolume of aquatic plants in Fish Creek than typically observed in streams of its size in Wyoming. Especially in the winter, the proportionately large, continuous gain of groundwater into Fish Creek in the perennial section keeps most of the creek free of ice. Because sunlight can still reach the streambed in Fish Creek and the water is still flowing, aquatic plants continue to photosynthesize in the winter, albeit at a lower level of productivity. Additionally, the cobble and large gravel substrate in Fish Creek provides excellent attachment points for aquatic plants, and when combined with Fish Creek’s channel stability allows rapid growth of aquatic plants once conditions allow during the spring.

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The aquatic plant community of Fish Creek was different than most streams in Wyoming in that it contains many different macrophytes—including macroalgae such as long streamers of Cladophora, aquatic vascular plants, and moss; most other streams in the state contain predominantly algae. From the banks of Fish Creek, the bottom of the stream sometimes appeared to be a solid green carpet. A shift was observed from higher amounts of microalgae in April/May to higher amounts macrophytes in August and October, and differences in the relative abundance of microalgae and macrophytes were statistically significant between seasons.

\n
\n

Differences in dissolved-nitrate concentrations and in the nitrogen-to-phosphorus ratio were significantly different between seasons, as concentrations of dissolved nitrate decreased from April/May to August and October. It is likely that dissolved-nitrate concentrations in Fish Creek were lower in August and October because macrophytes were quickly utilizing the nutrient, and a negative correlation between macro-phytes and nitrate was found.

\n
\n

Macroinvertebrates also were sampled because of their role as indicators of water quality and their documented responses to perturbation such as degradation of water quality and habitat. Statistically significant seasonal differences were noted in the macroinvertebrate community. Taxa richness and relative abundance of Ephemeroptera, Plecoptera, and Trichoptera, which tend to be intolerant of water-quality degradation, decreased from April/May to August; the same time period saw a corresponding increase in Diptera and noninsects, particularly Oligochaeta (worms) that are more tolerant.

\n
\n

Seasonal changes in macroinvertebrate functional feeding groups were significantly different. The relative abundance of gatherer-collector and scraper feeding groups decreased from April/May to August, accompanied by an increase in filterer-collector and shredders feeding groups. Seasonal changes in feeding groups might be due to the seasonal shift in aquatic plant communities, as indicated by comparison with other streams in the area that had fewer aquatic macrophytes than Fish Creek. Statistical tests of macroinvertebrate metrics indicated few differences between years or biological sampling sites on Fish Creek, although the site farthest upstream sometimes was different not only in terms of macroinvertebrates but also in streamflow, water quality, and aquatic plants.

\n
\n

Potential effects of contributions of additional nutrients to the Fish Creek ecosystem beyond the conditions sampled during the study period are not known. However, because virtually all of the detectable dissolved nitrate commonly was consumed by aquatic plants in August (leaving dissolved nitrate less than the reporting level in water samples), it is possible that increased nutrient contributions could cause increased growth of aquatic plants. Additional long-term monitoring of the stream, with concurrent data analysis and interpretation would be needed to determine the effects of additional nutrients on the aquatic plant community and on higher levels of the food chain.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135117","collaboration":"Prepared in cooperation with Teton Conservation District","usgsCitation":"Eddy-Miller, C., Peterson, D.A., Wheeler, J.D., Edmiston, C.S., Taylor, M.L., and Leemon, D.J., 2013, Characterization of water quality and biological communities, Fish Creek, Teton County, Wyoming, 2007-2011: U.S. Geological Survey Scientific Investigations Report 2013-5117, Report: x, 76 p.; Downloads Directory, https://doi.org/10.3133/sir20135117.","productDescription":"Report: x, 76 p.; Downloads Directory","numberOfPages":"90","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2007-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-042351","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":278058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135117.gif"},{"id":278055,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5117/"},{"id":278056,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5117/pdf/sir2013-5117.pdf"},{"id":278057,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5117/downloads/"}],"scale":"100000","projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Wyoming","county":"Teton County","otherGeospatial":"Fish Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.045942,43.409662 ], [ -111.045942,43.899253 ], [ -110.359812,43.899253 ], [ -110.359812,43.409662 ], [ -111.045942,43.409662 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5243f7cfe4b05b217bad9fe9","contributors":{"authors":[{"text":"Eddy-Miller, Cheryl A.","contributorId":86755,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl A.","affiliations":[],"preferred":false,"id":484534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, David A. davep@usgs.gov","contributorId":1742,"corporation":false,"usgs":true,"family":"Peterson","given":"David","email":"davep@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":484529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wheeler, Jerrod D. 0000-0002-0533-8700 jwheele@usgs.gov","orcid":"https://orcid.org/0000-0002-0533-8700","contributorId":1893,"corporation":false,"usgs":true,"family":"Wheeler","given":"Jerrod","email":"jwheele@usgs.gov","middleInitial":"D.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edmiston, C. Scott","contributorId":30595,"corporation":false,"usgs":true,"family":"Edmiston","given":"C.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":484531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Michelle L.","contributorId":35206,"corporation":false,"usgs":true,"family":"Taylor","given":"Michelle","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leemon, Daniel J.","contributorId":70090,"corporation":false,"usgs":true,"family":"Leemon","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484533,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70048392,"text":"sir20135152 - 2013 - Estimation of sediment inflows to Lake Tuscaloosa, Alabama, 2009-11","interactions":[],"lastModifiedDate":"2013-10-30T11:20:10","indexId":"sir20135152","displayToPublicDate":"2013-09-24T15:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5152","title":"Estimation of sediment inflows to Lake Tuscaloosa, Alabama, 2009-11","docAbstract":"The U.S. Geological Survey, in cooperation with the City of Tuscaloosa, evaluated the concentrations, loads, and yields of suspended sediment in the tributaries to Lake Tuscaloosa in west-central Alabama, from October 1, 2008, to January 31, 2012. The collection and analysis of these data will facilitate the comparison with historical data, serve as a baseline for future sediment-collection efforts, and help to identify areas of concern. Lake Tuscaloosa, at the reservoir dam, receives runoff from a drainage area of 423 square miles (mi2). Basinwide in 2006, forested land was the primary land cover (68 percent). Comparison of historical imagery with the National Land Cover Database (2001 and 2006) indicated that the greatest temporal land-use change was timber harvest. The land cover in 2006 was indicative of this change, with shrub/scrub land (12 percent) being the secondary land use in the basin. Agricultural land use (10 percent) was represented predominantly by hay and pasture or grasslands. Urban land use was minimal, accounting for 4 percent of the entire basin. The remaining 6 percent of the basin has a land use of open water or wetlands. Storm and monthly suspended-sediment samples were collected from seven tributaries to Lake Tuscaloosa: North River, Turkey Creek, Binion Creek, Pole Bridge Creek, Tierce Creek, Carroll Creek, and Brush Creek. Suspended-sediment concentrations and streamflow measurements were statistically analyzed to estimate annual suspended-sediment loads and yields from each of these contributing watersheds. Estimated annual suspended-sediment yields in 2009 were 360, 540, and 840 tons per square mile (tons/mi2) at the North River, Turkey Creek, and Carroll Creek streamflow-gaging stations, respectively. Estimated annual suspended-sediment yields in 2010 were 120 and 86 tons/mi2 at the Binion Creek and Pole Bridge Creek streamflow-gaging stations, respectively. Estimated annual suspended-sediment yields in 2011 were 190 and 300 tons/mi2 at the Tierce Creek and Brush Creek streamflow-gaging stations, respectively. The North River watershed at the streamflow-gaging station contributes 53 percent of the drainage area for Lake Tuscaloosa. A previous study in the 1970s analyzed streamflow and historical suspended-sediment samples to estimate a long-term average suspended-sediment yield of 300 tons per year per square mile in the North River watershed. Analysis of data collected in the North River watershed during the 2009 water year (October 2008 to September 2009) estimated a sediment yield of 360 tons/mi2. The North River watershed, a major portion of the Lake Tuscaloosa drainage basin, has not experienced a substantial increase in sedimentation rates. During the 2009 water year, the Turkey Creek watershed (6.16 mi2) and the Carroll Creek watershed (20.9 mi2) produced greater suspended-sediment yields than the North River watershed but contribute a much smaller drainage area to Lake Tuscaloosa. Aerial photography and bathymetric surveys indicate that Carroll Creek has experienced increased sediment deposition in the upstream portions of the channel. Carroll Creek is also the only watershed in the current study that has a substantial percentage (11 percent) of urban","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135152","collaboration":"Prepared in cooperation with City of Tuscaloosa","usgsCitation":"Lee, K., 2013, Estimation of sediment inflows to Lake Tuscaloosa, Alabama, 2009-11: U.S. Geological Survey Scientific Investigations Report 2013-5152, viii, 65 p., https://doi.org/10.3133/sir20135152.","productDescription":"viii, 65 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":278054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135152.gif"},{"id":278049,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5152/"},{"id":278050,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5152/pdf/sir2013-5152.pdf"}],"scale":"100000","country":"United States","state":"Alabama","county":"Fayette County;Tuscaloosa County","otherGeospatial":"Lake Tuscaloosa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.952094,32.636200 ], [ -87.952094,33.919871 ], [ -86.427100,33.919871 ], [ -86.427100,32.636200 ], [ -87.952094,32.636200 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5242a695e4b096ee624641c0","contributors":{"authors":[{"text":"Lee, K.G.","contributorId":28319,"corporation":false,"usgs":true,"family":"Lee","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":484517,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048388,"text":"ds793 - 2013 - Geospatial compilation of historical water-level altitudes in the Chicot and Evangeline aquifers 1977-2013 and Jasper aquifer 2000-13 in the Gulf Coast aquifer system, Houston-Galveston Region, Texas","interactions":[],"lastModifiedDate":"2017-03-29T16:52:39","indexId":"ds793","displayToPublicDate":"2013-09-24T14:21:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"793","title":"Geospatial compilation of historical water-level altitudes in the Chicot and Evangeline aquifers 1977-2013 and Jasper aquifer 2000-13 in the Gulf Coast aquifer system, Houston-Galveston Region, Texas","docAbstract":"

The U.S. Geological Survey (USGS) in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District has produced a series of annual reports depicting groundwater-level altitudes in the Chicot, Evangeline, and Jasper aquifers of the Gulf Coast aquifer system in the Houston-Galveston region, Texas. To produce these annual reports, contours of equal water-level altitudes are created from water levels measured between December and March of each year from groundwater wells screened completely within one of these three aquifers. Information obtained from maps published in the annual series of USGS reports and geospatial datasets of water-level altitude contours used to create the annual series of USGS reports were compiled into a comprehensive geodatabase. The geospatial compilation contains 88 datasets from previously published contour maps showing water-level altitudes for each primary aquifer of the Gulf Coast aquifer system, 37 for the Chicot (1977–2013), 37 for the Evangeline aquifer (1977–2013), and 14 for the Jasper aquifer (2000–13).

\n

Maps were georeferenced and digitized where existing geographic information system (GIS) data were unavailable (1977–89, 1991, 1995–99). Existing GIS data available for 1990, 1992–94, and 2000–13 were included in the geodatabase. The feature classes were organized into three feature datasets by principal aquifer: Chicot, Evangeline, and Jasper aquifers.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds793","collaboration":"Prepared in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District","usgsCitation":"Johnson, M., and Ellis, R.H., 2013, Geospatial compilation of historical water-level altitudes in the Chicot and Evangeline aquifers 1977-2013 and Jasper aquifer 2000-13 in the Gulf Coast aquifer system, Houston-Galveston Region, Texas: U.S. Geological Survey Data Series 793, HTML Document; Downloads Directory, https://doi.org/10.3133/ds793.","productDescription":"HTML Document; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1977-01-01","temporalEnd":"2013-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":278042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds793.PNG"},{"id":278041,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/793/downloads/"},{"id":278040,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/793/"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1927","country":"United States","state":"Texas","county":"Fort Bend County, Harris County, Montgomery County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.3505859375,\n 29.554345125748267\n ],\n [\n -94.52636718749999,\n 30.031055426540206\n ],\n [\n -94.7021484375,\n 30.29701788337205\n ],\n [\n -94.976806640625,\n 30.675715404167743\n ],\n [\n -95.07568359375,\n 30.829139422013956\n ],\n [\n -95.25970458984374,\n 30.954057859276126\n ],\n [\n -95.614013671875,\n 30.95876857077987\n ],\n [\n -96.064453125,\n 30.798474179567823\n ],\n [\n -96.2841796875,\n 30.64027517241868\n ],\n [\n -96.3446044921875,\n 30.462879341709886\n ],\n [\n -96.2237548828125,\n 30.073847754270204\n ],\n [\n -96.03149414062499,\n 29.410890376109\n ],\n [\n -95.82275390625,\n 29.080175989623203\n ],\n [\n -95.6304931640625,\n 28.9072060763367\n ],\n [\n -95.3558349609375,\n 28.8831596093235\n ],\n [\n -94.7515869140625,\n 29.291189838184863\n ],\n [\n -94.3505859375,\n 29.554345125748267\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5242a695e4b096ee624641c4","contributors":{"authors":[{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":484511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Robert H.H.","contributorId":9170,"corporation":false,"usgs":true,"family":"Ellis","given":"Robert","email":"","middleInitial":"H.H.","affiliations":[],"preferred":false,"id":484512,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70154866,"text":"70154866 - 2013 - Evaluating changes to reservoir rule curves using historical water-level data","interactions":[],"lastModifiedDate":"2015-07-10T11:41:13","indexId":"70154866","displayToPublicDate":"2013-09-24T12:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3876,"text":"International Journal of River Basin Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating changes to reservoir rule curves using historical water-level data","docAbstract":"

Flood control reservoirs are typically managed through rule curves (i.e. target water levels) which control the storage and release timing of flood waters. Changes to rule curves are often contemplated and requested by various user groups and management agencies with no information available about the actual flood risk of such requests. Methods of estimating flood risk in reservoirs are not easily available to those unfamiliar with hydrological models that track water movement through a river basin. We developed a quantile regression model that uses readily available daily water-level data to estimate risk of spilling. Our model provided a relatively simple process for estimating the maximum applicable water level under a specific flood risk for any day of the year. This water level represents an upper-limit umbrella under which water levels can be operated in a variety of ways. Our model allows the visualization of water-level management under a user-specified flood risk and provides a framework for incorporating the effect of a changing environment on water-level management in reservoirs, but is not designed to replace existing hydrological models. The model can improve communication and collaboration among agencies responsible for managing natural resources dependent on reservoir water levels.

","language":"English","publisher":"International Association of Hydraulic Engineering and Research","publisherLocation":"Madrid, Spain","doi":"10.1080/15715124.2013.823979","usgsCitation":"Mower, E., and Miranda, L.E., 2013, Evaluating changes to reservoir rule curves using historical water-level data: International Journal of River Basin Management, v. 11, no. 3, p. 323-328, https://doi.org/10.1080/15715124.2013.823979.","productDescription":"6 p.","startPage":"323","endPage":"328","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048954","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a0ecb1e4b0183d66e43039","contributors":{"authors":[{"text":"Mower, Ethan","contributorId":143702,"corporation":false,"usgs":false,"family":"Mower","given":"Ethan","email":"","affiliations":[],"preferred":false,"id":564617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564293,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048381,"text":"sir20135132 - 2013 - Chemistry and age of groundwater in bedrock aquifers of the Piceance and Yellow Creek watersheds, Rio Blanco County, Colorado, 2010-12","interactions":[],"lastModifiedDate":"2013-10-30T11:21:01","indexId":"sir20135132","displayToPublicDate":"2013-09-24T12:36:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5132","title":"Chemistry and age of groundwater in bedrock aquifers of the Piceance and Yellow Creek watersheds, Rio Blanco County, Colorado, 2010-12","docAbstract":"Fourteen monitoring wells completed in the Uinta and Green River Formations in the Piceance Creek and Yellow Creek watersheds in Rio Blanco County, Colorado, were sampled for chemical, isotopic, and groundwater-age tracers to provide information on the overall groundwater quality, the occurrence and distribution of chemicals that could be related to the development of underlying natural-gas reservoirs, and to better understand groundwater residence times in the flow system. Methane concentrations in groundwater ranged from less than 0.0005 to 387 milligrams per liter. The methane was predominantly biogenic in origin, although the biogenic methane was mixed with thermogenic methane in water from seven wells. Three BTEX compounds (benzene, toluene, and ethylbenzene) were detected in water from six of the wells, but none of the concentrations exceeded Federal drinking-water standards. The presence of thermogenic methane in the aquifers indicates a connection and vulnerability to chemicals in deeper geologic units. Helium-4 data indicate that groundwater had ages ranging from less than 1,000 years to greater than 50,000 years. The presence of old groundwater in parts of the aquifers indicates that these aquifers may not be useful for large-scale water supply because of low recharge rates.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135132","collaboration":"Prepared in cooperation with the Bureau of Land Management, White River Field Office","usgsCitation":"McMahon, P., Thomas, J., and Hunt, A., 2013, Chemistry and age of groundwater in bedrock aquifers of the Piceance and Yellow Creek watersheds, Rio Blanco County, Colorado, 2010-12: U.S. Geological Survey Scientific Investigations Report 2013-5132, viii, 86 p., https://doi.org/10.3133/sir20135132.","productDescription":"viii, 86 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":278036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/70048381.gif"},{"id":278035,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5132/"},{"id":278034,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5132/pdf/sir2013-5132.pdf"}],"scale":"24000","projection":"Universal Transverse Mercator, Zone 13 North","country":"United States","state":"Colorado","county":"Rio Blanco County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.882751,39.627375 ], [ -108.882751,40.110113 ], [ -107.998352,40.110113 ], [ -107.998352,39.627375 ], [ -108.882751,39.627375 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f241e4b0bc0bec0a028c","contributors":{"authors":[{"text":"McMahon, P.B. 0000-0001-7452-2379","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":10762,"corporation":false,"usgs":true,"family":"McMahon","given":"P.B.","affiliations":[],"preferred":false,"id":484486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, J.C.","contributorId":95435,"corporation":false,"usgs":true,"family":"Thomas","given":"J.C.","affiliations":[],"preferred":false,"id":484488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, A.G.","contributorId":68691,"corporation":false,"usgs":true,"family":"Hunt","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":484487,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048362,"text":"sir20135075 - 2013 - Ranking contributing areas of salt and selenium in the Lower Gunnison River Basin, Colorado, using multiple linear regression models","interactions":[],"lastModifiedDate":"2013-09-23T16:01:07","indexId":"sir20135075","displayToPublicDate":"2013-09-23T15:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5075","title":"Ranking contributing areas of salt and selenium in the Lower Gunnison River Basin, Colorado, using multiple linear regression models","docAbstract":"Mitigating the effects of salt and selenium on water quality in the Grand Valley and lower Gunnison River Basin in western Colorado is a major concern for land managers. Previous modeling indicated means to improve the models by including more detailed geospatial data and a more rigorous method for developing the models. After evaluating all possible combinations of geospatial variables, four multiple linear regression models resulted that could estimate irrigation-season salt yield, nonirrigation-season salt yield, irrigation-season selenium yield, and nonirrigation-season selenium yield. The adjusted r-squared and the residual standard error (in units of log-transformed yield) of the models were, respectively, 0.87 and 2.03 for the irrigation-season salt model, 0.90 and 1.25 for the nonirrigation-season salt model, 0.85 and 2.94 for the irrigation-season selenium model, and 0.93 and 1.75 for the nonirrigation-season selenium model. The four models were used to estimate yields and loads from contributing areas corresponding to 12-digit hydrologic unit codes in the lower Gunnison River Basin study area. Each of the 175 contributing areas was ranked according to its estimated mean seasonal yield of salt and selenium.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135075","collaboration":"Prepared in cooperation with the Bureau of Reclamation and the Colorado River Water Conservation District","usgsCitation":"Linard, J.I., 2013, Ranking contributing areas of salt and selenium in the Lower Gunnison River Basin, Colorado, using multiple linear regression models: U.S. Geological Survey Scientific Investigations Report 2013-5075, v, 45 p., https://doi.org/10.3133/sir20135075.","productDescription":"v, 45 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":278018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135075.gif"},{"id":278016,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5075/pdf/SIR13-5075.pdf"},{"id":278017,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5075/"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0009,37.762 ], [ -109.0009,39.5273 ], [ -107.037,39.5273 ], [ -107.037,37.762 ], [ -109.0009,37.762 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"524154fae4b0ec672f073ab7","contributors":{"authors":[{"text":"Linard, Joshua I. jilinard@usgs.gov","contributorId":1465,"corporation":false,"usgs":true,"family":"Linard","given":"Joshua","email":"jilinard@usgs.gov","middleInitial":"I.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484420,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047159,"text":"70047159 - 2013 - Updating the planetary time scale: focus on Mars","interactions":[],"lastModifiedDate":"2013-10-30T11:22:11","indexId":"70047159","displayToPublicDate":"2013-09-23T13:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1238,"text":"Ciencias Da Terra","active":true,"publicationSubtype":{"id":10}},"title":"Updating the planetary time scale: focus on Mars","docAbstract":"Formal stratigraphic systems have been developed for the surface materials of the Moon, Mars, Mercury, and the Galilean satellite Ganymede. These systems are based on geologic mapping, which establishes relative ages of surfaces delineated by superposition, morphology, impact crater densities, and other relations and features. Referent units selected from the mapping determine time-stratigraphic bases and/or representative materials characteristic of events and periods for definition of chronologic units. Absolute ages of these units in some cases can be estimated using crater size-frequency data. For the Moon, the chronologic units and cratering record are calibrated by radiometric ages measured from samples collected from the lunar surface. Model ages for other cratered planetary surfaces are constructed primarily by estimating cratering rates relative to that of the Moon. Other cratered bodies with estimated surface ages include Venus and the Galilean satellites of Jupiter. New global geologic mapping and crater dating studies of Mars are resulting in more accurate and detailed reconstructions of its geologic history.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ciencias Da Terra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Department of Earth Sciences Lisbon University","usgsCitation":"Tanaka, K.L., and Quantin-Nataf, C., 2013, Updating the planetary time scale: focus on Mars: Ciencias Da Terra.","ipdsId":"IP-044682","costCenters":[],"links":[{"id":278011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278012,"type":{"id":11,"text":"Document"},"url":"https://www.cienciasdaterra.com/index.php/vol/article/view/278"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"524154fce4b0ec672f073ac7","contributors":{"authors":[{"text":"Tanaka, Kenneth L. ktanaka@usgs.gov","contributorId":610,"corporation":false,"usgs":true,"family":"Tanaka","given":"Kenneth","email":"ktanaka@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":481187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quantin-Nataf, Cathy","contributorId":26615,"corporation":false,"usgs":true,"family":"Quantin-Nataf","given":"Cathy","email":"","affiliations":[],"preferred":false,"id":481188,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048358,"text":"70048358 - 2013 - SSR_pipeline: a bioinformatic infrastructure for identifying microsatellites from paired-end Illumina high-throughput DNA sequencing data","interactions":[],"lastModifiedDate":"2013-10-23T14:54:22","indexId":"70048358","displayToPublicDate":"2013-09-23T12:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"title":"SSR_pipeline: a bioinformatic infrastructure for identifying microsatellites from paired-end Illumina high-throughput DNA sequencing data","docAbstract":"SSR_pipeline is a flexible set of programs designed to efficiently identify simple sequence repeats (e.g., microsatellites) from paired-end high-throughput Illumina DNA sequencing data. The program suite contains 3 analysis modules along with a fourth control module that can automate analyses of large volumes of data. The modules are used to 1) identify the subset of paired-end sequences that pass Illumina quality standards, 2) align paired-end reads into a single composite DNA sequence, and 3) identify sequences that possess microsatellites (both simple and compound) conforming to user-specified parameters. The microsatellite search algorithm is extremely efficient, and we have used it to identify repeats with motifs from 2 to 25bp in length. Each of the 3 analysis modules can also be used independently to provide greater flexibility or to work with FASTQ or FASTA files generated from other sequencing platforms (Roche 454, Ion Torrent, etc.). We demonstrate use of the program with data from the brine fly Ephydra packardi (Diptera: Ephydridae) and provide empirical timing benchmarks to illustrate program performance on a common desktop computer environment. We further show that the Illumina platform is capable of identifying large numbers of microsatellites, even when using unenriched sample libraries and a very small percentage of the sequencing capacity from a single DNA sequencing run. All modules from SSR_pipeline are implemented in the Python programming language and can therefore be used from nearly any computer operating system (Linux, Macintosh, and Windows).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Heredity","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/jhered/est056","usgsCitation":"Miller, M.P., Knaus, B.J., Mullins, T., and Haig, S.M., 2013, SSR_pipeline: a bioinformatic infrastructure for identifying microsatellites from paired-end Illumina high-throughput DNA sequencing data: Journal of Heredity, v. 104, no. 6, p. 881-885, https://doi.org/10.1093/jhered/est056.","productDescription":"5 p.","startPage":"881","endPage":"885","numberOfPages":"5","ipdsId":"IP-046152","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473525,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jhered/est056","text":"Publisher Index Page"},{"id":278009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278006,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1093/jhered/est056"},{"id":278007,"type":{"id":15,"text":"Index Page"},"url":"https://jhered.oxfordjournals.org/cgi/content/full/est056?"}],"volume":"104","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-09-19","publicationStatus":"PW","scienceBaseUri":"524154fce4b0ec672f073ac3","contributors":{"authors":[{"text":"Miller, Mark P. 0000-0003-1045-1772 mpmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1045-1772","contributorId":1967,"corporation":false,"usgs":true,"family":"Miller","given":"Mark","email":"mpmiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":484413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knaus, Brian J.","contributorId":107167,"corporation":false,"usgs":true,"family":"Knaus","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mullins, Thomas D.","contributorId":12819,"corporation":false,"usgs":true,"family":"Mullins","given":"Thomas D.","affiliations":[],"preferred":false,"id":484414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":484412,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70048350,"text":"70048350 - 2013 - A fluid-driven earthquake swarm on the margin of the Yellowstone caldera","interactions":[],"lastModifiedDate":"2016-12-14T11:36:52","indexId":"70048350","displayToPublicDate":"2013-09-23T11:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"A fluid-driven earthquake swarm on the margin of the Yellowstone caldera","docAbstract":"Over the past several decades, the Yellowstone caldera has experienced frequent earthquake swarms and repeated cycles of uplift and subsidence, reflecting dynamic volcanic and tectonic processes. Here, we examine the detailed spatial-temporal evolution of the 2010 Madison Plateau swarm, which occurred near the northwest boundary of the Yellowstone caldera. To fully explore the evolution of the swarm, we integrated procedures for seismic waveform-based earthquake detection with precise double-difference relative relocation. Using cross-correlation of continuous seismic data and waveform templates constructed from cataloged events, we detected and precisely located 8710 earthquakes during the three-week swarm, nearly four times the number of events included in the standard catalog. This high-resolution analysis reveals distinct migration of earthquake activity over the course of the swarm. The swarm initiated abruptly on January 17, 2010 at about 10 km depth and expanded dramatically outward (both shallower and deeper) over time, primarily along a NNW-striking, ~55º ENE-dipping structure. To explain these characteristics, we hypothesize that the swarm was triggered by the rupture of a zone of confined high-pressure aqueous fluids into a pre-existing crustal fault system, prompting release of accumulated stress. The high-pressure fluid injection may have been accommodated by hybrid shear and dilatational failure, as is commonly observed in exhumed hydrothermally affected fault zones. This process has likely occurred repeatedly in Yellowstone as aqueous fluids exsolved from magma migrate into the brittle crust, and it may be a key element in the observed cycles of caldera uplift and subsidence.","language":"English","publisher":"AGU Publications","doi":"10.1002/jgrb.50362","usgsCitation":"Shelly, D.R., Hill, D.P., Massin, F., Farrell, J., Smith, R.B., and Taira, T., 2013, A fluid-driven earthquake swarm on the margin of the Yellowstone caldera: Journal of Geophysical Research B: Solid Earth, v. 118, no. 9, p. 4872-4886, https://doi.org/10.1002/jgrb.50362.","productDescription":"15 p.","startPage":"4872","endPage":"4886","numberOfPages":"15","ipdsId":"IP-049594","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473527,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50362","text":"Publisher Index Page"},{"id":278008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277990,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50362"}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.196747,44.199436 ], [ -111.196747,44.999767 ], [ -110.199051,44.999767 ], [ -110.199051,44.199436 ], [ -111.196747,44.199436 ] ] ] } } ] }","volume":"118","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-16","publicationStatus":"PW","scienceBaseUri":"524154cfe4b0ec672f073aa7","contributors":{"authors":[{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":484369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, David P. hill@usgs.gov","contributorId":2600,"corporation":false,"usgs":true,"family":"Hill","given":"David","email":"hill@usgs.gov","middleInitial":"P.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":false,"id":484368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Massin, Frederick","contributorId":27351,"corporation":false,"usgs":true,"family":"Massin","given":"Frederick","email":"","affiliations":[],"preferred":false,"id":484370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farrell, Jamie","contributorId":100280,"corporation":false,"usgs":true,"family":"Farrell","given":"Jamie","affiliations":[],"preferred":false,"id":484373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Robert B.","contributorId":90824,"corporation":false,"usgs":true,"family":"Smith","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":484372,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taira, Taka'aki","contributorId":63302,"corporation":false,"usgs":true,"family":"Taira","given":"Taka'aki","affiliations":[],"preferred":false,"id":484371,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70048355,"text":"70048355 - 2013 - Baseline monitoring of the western Arctic Ocean estimates 20% of the Canadian Basin surface waters are undersaturated with respect to aragonite","interactions":[],"lastModifiedDate":"2016-09-22T12:36:32","indexId":"70048355","displayToPublicDate":"2013-09-23T11:31:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Baseline monitoring of the western Arctic Ocean estimates 20% of the Canadian Basin surface waters are undersaturated with respect to aragonite","docAbstract":"Marine surface waters are being acidified due to uptake of anthropogenic carbon dioxide, resulting in surface ocean areas of undersaturation with respect to carbonate minerals, including aragonite. In the Arctic Ocean, acidification is expected to occur at an accelerated rate with respect to the global oceans, but a paucity of baseline data has limited our understanding of the extent of Arctic undersaturation and of regional variations in rates and causes. The lack of data has also hindered refinement of models aimed at projecting future trends of ocean acidification. Here, based on more than 34,000 data records collected in 2010 and 2011, we establish a baseline of inorganic carbon data (pH, total alkalinity, dissolved inorganic carbon, partial pressure of carbon dioxide, and aragonite saturation index) for the western Arctic Ocean. This data set documents aragonite undersaturation in ~20% of the surface waters of the combined Canada and Makarov basins, an area characterized by recent acceleration of sea ice loss. Conservative tracer studies using stable oxygen isotopic data from 307 sites show that while the entire surface of this area receives abundant freshwater from meteoric sources, freshwater from sea ice melt is most closely linked to the areas of carbonate mineral undersaturation. These data link the Arctic Ocean’s largest area of aragonite undersaturation to sea ice melt and atmospheric CO2 absorption in areas of low buffering capacity. Some relatively supersaturated areas can be linked to localized biological activity. Collectively, these observations can be used to project trends of ocean acidification in higher latitude marine surface waters where inorganic carbon chemistry is largely influenced by sea ice meltwater.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLOS ONE","doi":"10.1371/journal.pone.0073796","usgsCitation":"Robbins, L.L., Wynn, J.G., Lisle, J.T., Yates, K.K., Knorr, P.O., Byrne, R., Liu, X., Patsavas, M.C., Azetsu-Scott, K., and Takahashi, T., 2013, Baseline monitoring of the western Arctic Ocean estimates 20% of the Canadian Basin surface waters are undersaturated with respect to aragonite: PLoS ONE, v. 8, no. 9, 15 p., https://doi.org/10.1371/journal.pone.0073796.","productDescription":"15 p.","numberOfPages":"15","ipdsId":"IP-036765","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0073796","text":"Publisher Index Page"},{"id":278003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277996,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0073796"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.9,66.5 ], [ -166.9,77.3 ], [ -105.2,77.3 ], [ -105.2,66.5 ], [ -166.9,66.5 ] ] ] } } ] }","volume":"8","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-11","publicationStatus":"PW","scienceBaseUri":"524154f9e4b0ec672f073aaf","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wynn, Jonathan G.","contributorId":92960,"corporation":false,"usgs":true,"family":"Wynn","given":"Jonathan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":484403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Byrne, Robert H.","contributorId":83260,"corporation":false,"usgs":true,"family":"Byrne","given":"Robert H.","affiliations":[],"preferred":false,"id":484401,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Xuewu","contributorId":87676,"corporation":false,"usgs":true,"family":"Liu","given":"Xuewu","email":"","affiliations":[],"preferred":false,"id":484402,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Patsavas, Mark C.","contributorId":99881,"corporation":false,"usgs":true,"family":"Patsavas","given":"Mark","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":484404,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Azetsu-Scott, Kumiko","contributorId":78636,"corporation":false,"usgs":true,"family":"Azetsu-Scott","given":"Kumiko","email":"","affiliations":[],"preferred":false,"id":484400,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Takahashi, Taro","contributorId":55319,"corporation":false,"usgs":true,"family":"Takahashi","given":"Taro","email":"","affiliations":[],"preferred":false,"id":484399,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70048351,"text":"70048351 - 2013 - Regional signatures of plant response to drought and elevated temperature across a desert ecosystem","interactions":[],"lastModifiedDate":"2013-10-30T11:33:16","indexId":"70048351","displayToPublicDate":"2013-09-23T10:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Regional signatures of plant response to drought and elevated temperature across a desert ecosystem","docAbstract":"The performance of many desert plant species in North America may decline with the warmer and drier conditions predicted by climate change models, thereby accelerating land degradation and reducing ecosystem productivity. We paired repeat measurements of plant canopy cover with climate at multiple sites across the Chihuahuan Desert over the last century to determine which plant species and functional types may be the most sensitive to climate change. We found that the dominant perennial grass, Bouteloua eriopoda, and species richness had nonlinear responses to summer precipitation, decreasing more in dry summers than increasing with wet summers. Dominant shrub species responded differently to the seasonality of precipitation and drought, but winter precipitation best explained changes in the cover of woody vegetation in upland grasslands and may contribute to woody-plant encroachment that is widespread throughout the southwestern United States and northern Mexico. Temperature explained additional variability of changes in cover of dominant and subdominant plant species. Using a novel empirically based approach we identified ‘‘climate pivot points’’ that were indicative of shifts from increasing to decreasing plant cover over a range of climatic conditions. Reductions in cover of annual and several perennial plant species, in addition to declines in species richness below the long-term summer precipitation mean across plant communities, indicate a decrease in the productivity for all but the most drought-tolerant perennial grasses and shrubs in the Chihuahuan Desert. Overall, our regional synthesis of long-term data provides a robust foundation for forecasting future shifts in the composition and structure of plant assemblages in the largest North American warm desert.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/12-1586.1","usgsCitation":"Munson, S.M., Muldavin, E.H., Belnap, J., Peters, D.P., Anderson, J.P., Reiser, M.H., Gallo, K., Melgoza-Castillo, A., Herrick, J.E., and Christiansen, T.A., 2013, Regional signatures of plant response to drought and elevated temperature across a desert ecosystem: Ecology, v. 94, no. 9, p. 2030-2041, https://doi.org/10.1890/12-1586.1.","productDescription":"12 p.","startPage":"2030","endPage":"2041","numberOfPages":"12","ipdsId":"IP-040978","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":277998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277991,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-1586.1"}],"volume":"94","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"524154fbe4b0ec672f073abb","contributors":{"authors":[{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":484375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muldavin, Esteban H.","contributorId":88260,"corporation":false,"usgs":true,"family":"Muldavin","given":"Esteban","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":484383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, Jayne 0000-0001-7471-2279 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":484374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peters, Debra P.C.","contributorId":81007,"corporation":false,"usgs":true,"family":"Peters","given":"Debra","email":"","middleInitial":"P.C.","affiliations":[],"preferred":false,"id":484381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, John P.","contributorId":23060,"corporation":false,"usgs":true,"family":"Anderson","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484376,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reiser, M. Hildegard","contributorId":38465,"corporation":false,"usgs":true,"family":"Reiser","given":"M.","email":"","middleInitial":"Hildegard","affiliations":[],"preferred":false,"id":484378,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gallo, Kirsten","contributorId":82414,"corporation":false,"usgs":true,"family":"Gallo","given":"Kirsten","email":"","affiliations":[],"preferred":false,"id":484382,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Melgoza-Castillo, Alicia","contributorId":76639,"corporation":false,"usgs":true,"family":"Melgoza-Castillo","given":"Alicia","email":"","affiliations":[],"preferred":false,"id":484380,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Herrick, Jeffrey E.","contributorId":26054,"corporation":false,"usgs":false,"family":"Herrick","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":484377,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Christiansen, Tim A.","contributorId":64550,"corporation":false,"usgs":true,"family":"Christiansen","given":"Tim","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484379,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70048352,"text":"70048352 - 2013 - Characterizing regional soil mineral composition using spectroscopyand geostatistics","interactions":[],"lastModifiedDate":"2013-09-23T09:12:42","indexId":"70048352","displayToPublicDate":"2013-09-23T09:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing regional soil mineral composition using spectroscopyand geostatistics","docAbstract":"This work aims at improving the mapping of major mineral variability at regional scale using scale-dependent spatial variability observed in remote sensing data. Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and statistical methods were combined with laboratory-based mineral characterization of field samples to create maps of the distributions of clay, mica and carbonate minerals and their abundances. The Material Identification and Characterization Algorithm (MICA) was used to identify the spectrally-dominant minerals in field samples; these results were combined with ASTER data using multinomial logistic regression to map mineral distributions. X-ray diffraction (XRD)was used to quantify mineral composition in field samples. XRD results were combined with ASTER data using multiple linear regression to map mineral abundances. We testedwhether smoothing of the ASTER data to match the scale of variability of the target sample would improve model correlations. Smoothing was donewith Fixed Rank Kriging (FRK) to represent the mediumand long-range spatial variability in the ASTER data. Stronger correlations resulted using the smoothed data compared to results obtained with the original data. Highest model accuracies came from using both medium and long-range scaled ASTER data as input to the statistical models. High correlation coefficients were obtained for the abundances of calcite and mica (R2 = 0.71 and 0.70, respectively). Moderately-high correlation coefficients were found for smectite and kaolinite (R2 = 0.57 and 0.45, respectively). Maps of mineral distributions, obtained by relating ASTER data to MICA analysis of field samples, were found to characterize major soil mineral variability (overall accuracies for mica, smectite and kaolinite were 76%, 89% and 86% respectively). The results of this study suggest that the distributions of minerals and their abundances derived using FRK-smoothed ASTER data more closely match the spatial variability of soil and environmental properties at regional scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2013.08.018","usgsCitation":"Mulder, V., de Bruin, S., Weyermann, J., Kokaly, R., and Schaepman, M., 2013, Characterizing regional soil mineral composition using spectroscopyand geostatistics: Remote Sensing of Environment, v. 139, no. December 2013, p. 415-429, https://doi.org/10.1016/j.rse.2013.08.018.","productDescription":"15 p.","startPage":"415","endPage":"429","numberOfPages":"15","ipdsId":"IP-049662","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":488159,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/3422237","text":"External Repository"},{"id":277994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277992,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2013.08.018"}],"volume":"139","issue":"December 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"524154fae4b0ec672f073ab3","contributors":{"authors":[{"text":"Mulder, V.L.","contributorId":12764,"corporation":false,"usgs":true,"family":"Mulder","given":"V.L.","email":"","affiliations":[],"preferred":false,"id":484385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Bruin, S.","contributorId":49693,"corporation":false,"usgs":true,"family":"de Bruin","given":"S.","affiliations":[],"preferred":false,"id":484386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weyermann, J.","contributorId":9564,"corporation":false,"usgs":true,"family":"Weyermann","given":"J.","email":"","affiliations":[],"preferred":false,"id":484384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":81442,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","affiliations":[],"preferred":false,"id":484388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaepman, M.E.","contributorId":66466,"corporation":false,"usgs":true,"family":"Schaepman","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":484387,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70048337,"text":"sir20135168 - 2013 - Recent (circa 1998 to 2011) channel-migration rates of selected streams in Indiana","interactions":[],"lastModifiedDate":"2013-09-20T14:31:03","indexId":"sir20135168","displayToPublicDate":"2013-09-20T14:13:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5168","title":"Recent (circa 1998 to 2011) channel-migration rates of selected streams in Indiana","docAbstract":"An investigation was completed to document recent (circa 1998 to 2011) channel-migration rates at 970 meander bends along 38 of the largest streams in Indiana. Data collection was completed by using the Google Earth™ platform and, for each selected site, identifying two images with capture dates separated by multiple years. Within each image, the position of the meander-bend cutbank was measured relative to a fixed local landscape feature visible in both images, and an average channel-migration rate was calculated at the point of maximum cutbank displacement. From these data it was determined that 65 percent of the measured sites have recently been migrating at a rate less than 1 ft/yr, 75 percent of the sites have been migrating at a rate less than 10 ft/yr, and while some sites are migrating in excess of 20 ft/yr, these occurrences are rare. In addition, it is shown that recent channel-migration activity is not evenly distributed across Indiana. For the stream reaches studied, far northern and much of far southern Indiana are drained by streams that recently have been relatively stationary. At the same time, this study shows that most of the largest streams in west-central Indiana and many of the largest streams in east-central Indiana have shown significant channel-migration activity during the recent past. It is anticipated that these results will support several fluvial-erosion-hazard mitigation activities currently being undertaken in Indiana.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135168","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Robinson, B.A., 2013, Recent (circa 1998 to 2011) channel-migration rates of selected streams in Indiana: U.S. Geological Survey Scientific Investigations Report 2013-5168, iv, 37 p., https://doi.org/10.3133/sir20135168.","productDescription":"iv, 37 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1998-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":277979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135168.gif"},{"id":277980,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5168/"},{"id":277981,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5168/pdf/sir2013-5168.pdf"}],"scale":"100000","projection":"1983 Universal Transverse Mercator","datum":"North American Datum 1983","country":"United States","state":"Indiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.0997,37.7717 ], [ -88.0997,41.7614 ], [ -84.7846,41.7614 ], [ -84.7846,37.7717 ], [ -88.0997,37.7717 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523d6bade4b097188d6c769e","contributors":{"authors":[{"text":"Robinson, Bret A. barobins@usgs.gov","contributorId":3897,"corporation":false,"usgs":true,"family":"Robinson","given":"Bret","email":"barobins@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":484349,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048320,"text":"sir20135163 - 2013 - Quality of groundwater and surface water, Wood River Valley, south-central Idaho, July and August 2012","interactions":[],"lastModifiedDate":"2013-09-20T11:36:50","indexId":"sir20135163","displayToPublicDate":"2013-09-20T11:18:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5163","title":"Quality of groundwater and surface water, Wood River Valley, south-central Idaho, July and August 2012","docAbstract":"

Residents and resource managers of the Wood River Valley of south-central Idaho are concerned about the effects that population growth might have on the quality of groundwater and surface water. As part of a multi-phase assessment of the groundwater resources in the study area, the U.S. Geological Survey evaluated the quality of water at 45 groundwater and 5 surface-water sites throughout the Wood River Valley during July and August 2012. Water samples were analyzed for field parameters (temperature, pH, specific conductance, dissolved oxygen, and alkalinity), major ions, boron, iron, manganese, nutrients, and Escherichia coli (E.coli) and total coliform bacteria.

\n
\n

This study was conducted to determine baseline water quality throughout the Wood River Valley, with special emphasis on nutrient concentrations. Water quality in most samples collected did not exceed U.S. Environmental Protection Agency standards for drinking water. E. coli bacteria, used as indicators of water quality, were detected in all five surface-water samples and in two groundwater samples collected. Some analytes have aesthetic-based recommended drinking water standards; one groundwater sample exceeded recommended iron concentrations. Nitrate plus nitrite concentrations varied, but tended to be higher near population centers and in agricultural areas than in tributaries and less populated areas. These higher nitrate plus nitrite concentrations were not correlated with boron concentrations or the presence of bacteria, common indicators of sources of nutrients to water. None of the samples collected exceeded drinking-water standards for nitrate or nitrite.

\n
\n

The concentration of total dissolved solids varied considerably in the waters sampled; however a calcium-magnesium-bicarbonate water type was dominant (43 out of 50 samples) in both the groundwater and surface water. Three constituents that may be influenced by anthropogenic activity (chloride, boron, and nitrate plus nitrite) deviate from this pattern and show a wide distribution of concentrations in the unconfined aquifer, indicating possible anthropogenic influence.

\n
\n

Time-series plots of historical water-quality data indicated that nitrate does not seem to be increasing or decreasing in groundwater over time; however, time-series plots of chloride concentrations indicate that chloride may be increasing in some wells. The small amount of temporal variability in nitrate concentrations indicates a lack of major temporal changes to groundwater inputs.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135163","collaboration":"Prepared in cooperation with Blaine County, City of Hailey, City of Ketchum, The Nature Conservancy, City of Sun Valley, Sun Valley Water and Sewer District, Blaine Soil Conservation District, and the City of Bellevue","usgsCitation":"Hopkins, C.B., and Bartolino, J.R., 2013, Quality of groundwater and surface water, Wood River Valley, south-central Idaho, July and August 2012: U.S. Geological Survey Scientific Investigations Report 2013-5163, Report: vi, 32 p.; 2 Appendixes, https://doi.org/10.3133/sir20135163.","productDescription":"Report: vi, 32 p.; 2 Appendixes","numberOfPages":"42","additionalOnlineFiles":"Y","temporalStart":"2012-07-01","temporalEnd":"2012-08-31","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":277966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/SIR20135163.jpg"},{"id":277963,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5163/pdf/sir2013-5163.pdf"},{"id":277964,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5163/sir2013-5163_appendixA.xlsx"},{"id":277962,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5163/"},{"id":277965,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5163/sir2013-5163_appendixB.xlsx"}],"country":"United States","state":"Idaho","otherGeospatial":"Wood River Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.6993,43.2487 ], [ -114.6993,43.9498 ], [ -114.0151,43.9498 ], [ -114.0151,43.2487 ], [ -114.6993,43.2487 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523d6bade4b097188d6c769a","contributors":{"authors":[{"text":"Hopkins, Candice B. 0000-0003-3207-7267 chopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-3207-7267","contributorId":1379,"corporation":false,"usgs":true,"family":"Hopkins","given":"Candice","email":"chopkins@usgs.gov","middleInitial":"B.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484314,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048310,"text":"sir20135101 - 2013 - Geohydrology, geochemistry, and groundwater simulation (1992-2011) and analysis of potential water-supply management options, 2010-60, of the Langford Basin, California","interactions":[],"lastModifiedDate":"2013-10-30T11:35:55","indexId":"sir20135101","displayToPublicDate":"2013-09-20T08:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5101","title":"Geohydrology, geochemistry, and groundwater simulation (1992-2011) and analysis of potential water-supply management options, 2010-60, of the Langford Basin, California","docAbstract":"Groundwater withdrawals began in 1992 from the Langford Basin within the Fort Irwin National Training Center (NTC), California. From April 1992 to December 2010, approximately 12,300 acre-feet of water (averaging about 650 acre-feet per year) has been withdrawn from the basin and transported to the adjacent Irwin Basin. Since withdrawals began, water levels in the basin have declined by as much as 40 feet, and the quality of the groundwater withdrawn from the basin has deteriorated. The U.S. Geological Survey collected geohydrologic data from Langford Basin during 1992–2011 to determine the quantity and quality of groundwater available in the basin. Geophysical surveys, including gravity, seismic refraction, and time-domain electromagnetic induction surveys, were conducted to determine the depth and shape of the basin, to delineate depths to the Quaternary-Tertiary interface, and to map the depth to the water table and changes in water quality. Data were collected from existing wells and test holes, as well as 11 monitor wells that were installed at 5 sites as part of this study. Water-quality samples collected from wells in the basin were used to determine the groundwater chemistry within the basin and to delineate potential sources of poor-quality groundwater. Analysis of stable isotopes of oxygen and hydrogen in groundwater indicates that present-day precipitation is not a major source of recharge to the basin. Tritium and carbon-14 data indicate that most of the basin was recharged prior to 1952, and the groundwater in the basin has an apparent age of 12,500 to 30,000 years. Recharge to the basin, estimated to be less than 50 acre-feet per year, has not been sufficient to replenish the water that is being withdrawn from the basin. A numerical groundwater-flow model was developed for the Langford Basin to better understand the aquifer system used by the Fort Irwin NTC as part of its water supply, and to provide a tool to help manage groundwater resources at the NTC. Measured groundwater-level declines since the initiation of withdrawals (1992–2011) were used to calibrate the groundwater-flow model. The simulated recharge was about 46 acre-feet per year, including approximately 6 acre-feet per year of natural recharge derived from precipitation runoff and as much as 40 acre-feet per year of underflow from the Irwin Basin. Between April 1992 and December 2010, an average of about 650 acre-feet per year of water was withdrawn from the Langford Basin. Groundwater withdrawals in excess of natural recharge resulted in a net loss of 11,670 acre-feet of groundwater storage within the basin for the simulation period. The Fort Irwin NTC is considering various groundwater-management options to address the limited water resources in the Langford Basin. The calibrated Langford Basin groundwater-flow model was used to evaluate the hydrologic effects of four groundwater-withdrawal scenarios being considered by the Fort Irwin NTC over the next 50 years (January 2011 through December 2060). Continuation of the 2010 withdrawal rate in the three existing production wells will result in 70 feet of additional drawdown in the central part of the basin. Redistributing the 2010 withdrawal rate equally to the three existing wells and two proposed new wells in the northern and southern parts of the basin would result in about 10 feet less drawdown in the central part of the basin but about 100 feet of additional drawdown in the new well in the northern part of the basin and about 50 feet of additional drawdown in the new well in the southern part of the basin. Reducing the withdrawals from the three existing production wells in the central part of the basin from about 45,000 acre-feet to about 32,720 acre-feet would result in about 40 feet of additional drawdown in the central basin near the pumping wells, about 25 feet less than if withdrawals were not reduced. The combination of reducing and redistributing the cumulative withdrawals to the three existing and two proposed new wells results in about 40 feet of additional drawdown in the central and southern parts of the basin and about 70 feet in the northern part of the basin. These results show that reducing and redistributing the groundwater withdrawals would maintain the upper aquifer at greater than 50 percent of its predevelopment saturated thickness throughout the groundwater basin. The scenarios simulated for this study demonstrate how the calibrated model can be utilized to evaluate the hydrologic effects of different water-management strategies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135101","usgsCitation":"Voronin, L.M., Densmore, J., Martin, P., Brush, C.F., Carlson, C.S., and Miller, D., 2013, Geohydrology, geochemistry, and groundwater simulation (1992-2011) and analysis of potential water-supply management options, 2010-60, of the Langford Basin, California: U.S. Geological Survey Scientific Investigations Report 2013-5101, x, 86 p., https://doi.org/10.3133/sir20135101.","productDescription":"x, 86 p.","numberOfPages":"100","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":277948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135101.jpg"},{"id":277946,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5101/"},{"id":277947,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5101/pdf/sir2013-5101.pdf"}],"country":"United States","state":"California","otherGeospatial":"Fort Irwin National Training Center","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -11.118611111111111,34.5 ], [ -11.118611111111111,8.333333333333334E-4 ], [ -0.01638888888888889,8.333333333333334E-4 ], [ -0.01638888888888889,34.5 ], [ -11.118611111111111,34.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523d6b91e4b097188d6c7692","contributors":{"authors":[{"text":"Voronin, Lois M. 0000-0002-1064-1675 lvoronin@usgs.gov","orcid":"https://orcid.org/0000-0002-1064-1675","contributorId":1475,"corporation":false,"usgs":true,"family":"Voronin","given":"Lois","email":"lvoronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Jill N. 0000-0002-5345-6613","orcid":"https://orcid.org/0000-0002-5345-6613","contributorId":89179,"corporation":false,"usgs":true,"family":"Densmore","given":"Jill N.","affiliations":[],"preferred":false,"id":484295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brush, Charles F.","contributorId":93140,"corporation":false,"usgs":true,"family":"Brush","given":"Charles","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":484296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlson, Carl S. 0000-0001-7142-3519 cscarlso@usgs.gov","orcid":"https://orcid.org/0000-0001-7142-3519","contributorId":1694,"corporation":false,"usgs":true,"family":"Carlson","given":"Carl","email":"cscarlso@usgs.gov","middleInitial":"S.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484293,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":484294,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70048292,"text":"sir20135153 - 2013 - Suspended-sediment loads and reservoir sediment trap efficiency for Clinton Lake, Kansas, 2010-12","interactions":[],"lastModifiedDate":"2013-10-30T11:35:14","indexId":"sir20135153","displayToPublicDate":"2013-09-19T14:11:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5153","title":"Suspended-sediment loads and reservoir sediment trap efficiency for Clinton Lake, Kansas, 2010-12","docAbstract":"Continuous streamflow and turbidity data collected from October 1, 2010, to September 30, 2012, at a site upstream and downstream from Clinton Lake, Kansas, were used to compute the total suspended-sediment load delivered to and released from the reservoir as well as the sediment trap efficiency for the reservoir. Ongoing sedimentation is inhibiting the ability of Clinton Lake to serve several purposes including flood control, water supply, and recreation. The inflow suspended-sediment load was substantially larger than the outflow load and most of the suspended-sediment load was delivered during short-term, high-discharge periods. Respectively, the total 2-year inflow and outflow suspended-sediment loads were computed to be 44.4 and 1.49 million pounds. Sediment trap efficiency for the reservoir was estimated to be 97 percent. The mean annual suspended-sediment yield from the upstream basin was estimated to be 60,500 pounds per square mile. Because this study was completed during a drought, the estimated inflow suspended-sediment load and suspended-sediment yield likely are substantially less than what would occur during a period of average or above average precipitation and runoff.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135153","collaboration":"Prepared in cooperation with the Kansas Water Office","usgsCitation":"Juracek, K.E., 2013, Suspended-sediment loads and reservoir sediment trap efficiency for Clinton Lake, Kansas, 2010-12: U.S. Geological Survey Scientific Investigations Report 2013-5153, v, 10 p., https://doi.org/10.3133/sir20135153.","productDescription":"v, 10 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-044091","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":277933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135153.gif"},{"id":277932,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5153/pdf/sir13-5153.pdf"},{"id":277931,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5153/"}],"country":"United States","state":"Kansas","otherGeospatial":"Clinton Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.63,38.86 ], [ -95.63,39.04 ], [ -95.26,39.04 ], [ -95.26,38.86 ], [ -95.63,38.86 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efee4b024b60d40726a","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484254,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048277,"text":"ofr20131166 - 2013 - Report of geomagnetic pulsation indices for space weather applications","interactions":[],"lastModifiedDate":"2013-09-19T12:01:23","indexId":"ofr20131166","displayToPublicDate":"2013-09-19T11:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1166","title":"Report of geomagnetic pulsation indices for space weather applications","docAbstract":"The phenomenon of ultra-low frequency geomagnetic pulsations was first observed in the ground-based measurements of the 1859 Carrington Event and has been studied for over 100 years. Pulsation frequency is considered to be “ultra” low when it is lower than the natural frequencies of the plasma, such as the ion gyrofrequency. Ultra-low frequency pulsations are considered a source of noise in some geophysical analysis techniques, such as aeromagnetic surveys and transient electromagnetics, so it is critical to develop near real-time space weather products to monitor these geomagnetic pulsations. The proper spectral analysis of magnetometer data, such as using wavelet analysis techniques, can also be important to Geomagnetically Induced Current risk assessment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131166","usgsCitation":"Xu, Z., Gannon, J.L., and Rigler, E., 2013, Report of geomagnetic pulsation indices for space weather applications: U.S. Geological Survey Open-File Report 2013-1166, iv, 22 p., https://doi.org/10.3133/ofr20131166.","productDescription":"iv, 22 p.","numberOfPages":"26","onlineOnly":"Y","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":277865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131166.jpg"},{"id":277864,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1166/pdf/OF13-1166.pdf"},{"id":277863,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1166/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efde4b024b60d407262","contributors":{"authors":[{"text":"Xu, Z.","contributorId":99760,"corporation":false,"usgs":true,"family":"Xu","given":"Z.","email":"","affiliations":[],"preferred":false,"id":484232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gannon, Jennifer L.","contributorId":40882,"corporation":false,"usgs":true,"family":"Gannon","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rigler, Erin J.","contributorId":75054,"corporation":false,"usgs":true,"family":"Rigler","given":"Erin J.","affiliations":[],"preferred":false,"id":484231,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048262,"text":"ofr20131224 - 2013 - Bedrock geology and outcrop fracture trends in the vicinity of the Savage Municipal Well Superfund site, Milford, New Hampshire","interactions":[],"lastModifiedDate":"2013-09-19T09:17:51","indexId":"ofr20131224","displayToPublicDate":"2013-09-19T09:04:27","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1224","title":"Bedrock geology and outcrop fracture trends in the vicinity of the Savage Municipal Well Superfund site, Milford, New Hampshire","docAbstract":"The Savage Municipal Well Superfund site consists of an eastward-directed plume of volatile organic compounds, principally tetrachloroethylene (PCE), in alluvium and glacial sand and gravel in the Souhegan River valley, just south of the river and about 4 kilometers west of the town of Milford, New Hampshire. Sampling of monitoring wells at the site has helped delineate the extent of the plume and has determined that some contaminant has migrated into the underlying crystalline bedrock, including bedrock north of the river within 200 meters of a nearby residential development that was constructed in 1999. Borehole geophysical logging has identified a northeast preferential trend for bedrock fractures, which may provide a pathway for the migration of contaminant under and north of the Souhegan River. The current study investigates the bedrock geologic setting for the site, including its position relative to known regional geologic structures, and compiles new strike and dip measurements of joints in exposed bedrock to determine if there are dominant trends in orientation similar to what was found in the boreholes. The site is located on the northwestern limb of a northeast-trending regional anticlinorium that is southeast of the Campbell Hill fault zone. The Campbell Hill fault zone defines the contact between granite and gneiss of the anticlinorium and granite and schist to the northwest and is locally marked by lenses of massive vein quartz, minor faults, and fracture zones that could potentially affect plume migration. The fault zone was apparently not intercepted by any of the boreholes that were drilled to delineate the contaminant plume and therefore passes to the north of the northernmost borehole in the vicinity of the new residential area. Joints measured in surface exposures indicate a strong preferred direction of strike to the north-northeast corroborating the borehole data and previous outcrop and geophysical studies. The north-northeast preferred direction matches the direction of elongation of the cone of depression formed during a pump test of the bedrock wells and could explain a potential pathway for the migration of contaminant north of the river.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131224","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Region 1 and the New Hampshire Department of Environmental Services","usgsCitation":"Burton, W.C., and Harte, P.T., 2013, Bedrock geology and outcrop fracture trends in the vicinity of the Savage Municipal Well Superfund site, Milford, New Hampshire: U.S. Geological Survey Open-File Report 2013-1224, iii, 17 p., https://doi.org/10.3133/ofr20131224.","productDescription":"iii, 17 p.","numberOfPages":"25","onlineOnly":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":277841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131224.gif"},{"id":277839,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1224/"},{"id":277840,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1224/pdf/ofr2013-1224.pdf"}],"country":"United States","state":"New Hampshire","city":"Milford","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.75,42.8 ], [ -71.75,42.875 ], [ -71.625,42.875 ], [ -71.625,42.8 ], [ -71.75,42.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0ed2e4b024b60d407256","contributors":{"authors":[{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":484209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484208,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048261,"text":"ofr20131240 - 2013 - Biological and geochemical data of gravity cores from Mobile Bay, Alabama","interactions":[],"lastModifiedDate":"2025-05-13T18:12:26.338503","indexId":"ofr20131240","displayToPublicDate":"2013-09-19T08:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1240","title":"Biological and geochemical data of gravity cores from Mobile Bay, Alabama","docAbstract":"A study was conducted to understand the marine-influenced environments of Mobile Bay, Alabama, by collecting a series of box cores and gravity cores. One gravity core in particular demonstrates a long reference for changing paleoenvironmental parameters in Mobile Bay. Due to lack of abundance of foraminifers and (or) lack of diversity, the benthic foraminiferal data for two of the three gravity cores are not included in the results. The benthic foraminiferal data collected and geochemical analyses in this study provide a baseline for recent changes in the bay.","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131240","usgsCitation":"Richwine, K.A., Marot, M., Smith, C.G., Osterman, L.E., and Adams, C., 2013, Biological and geochemical data of gravity cores from Mobile Bay, Alabama: U.S. Geological Survey Open-File Report 2013-1240, iv, 20 p., https://doi.org/10.3133/ofr20131240.","productDescription":"iv, 20 p.","numberOfPages":"24","onlineOnly":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":277837,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1240/"},{"id":277836,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1240/pdf/ofr2013-1240.pdf"},{"id":277838,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131240.gif"}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.109396,30.26461 ], [ -88.109396,30.673552 ], [ -87.91553,30.673552 ], [ -87.91553,30.26461 ], [ -88.109396,30.26461 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efbe4b024b60d40725a","contributors":{"authors":[{"text":"Richwine, Kathryn A. krichwine@usgs.gov","contributorId":5004,"corporation":false,"usgs":true,"family":"Richwine","given":"Kathryn","email":"krichwine@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marot, Marci","contributorId":91150,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","affiliations":[],"preferred":false,"id":484207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":484204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osterman, Lisa E. osterman@usgs.gov","contributorId":3058,"corporation":false,"usgs":true,"family":"Osterman","given":"Lisa","email":"osterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484203,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, C. 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For the State of Minnesota, elevation data are critical for agriculture and precision farming, natural resources conservation, flood risk management, infrastructure and construction management, water supply and quality, coastal zone management, and other business uses. Today, high-quality light detection and ranging (lidar) data are the sources for creating elevation models and other elevation datasets. Federal, State, and local agencies work in partnership to (1) replace data, on a national basis, that are (on average) 30 years old and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data. The new 3D Elevation Program (3DEP) initiative, managed by the U.S. Geological Survey (USGS), responds to the growing need for high-quality topographic data and a wide range of other three-dimensional representations of the Nation’s natural and constructed features.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133051","usgsCitation":"Carswell, W., 2013, The 3D Elevation Program: summary for Minnesota: U.S. Geological Survey Fact Sheet 2013-3051, 2 p., https://doi.org/10.3133/fs20133051.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":277825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133051.gif"},{"id":277823,"type":{"id":15,"text":"Index 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