{"pageNumber":"478","pageRowStart":"11925","pageSize":"25","recordCount":69041,"records":[{"id":70159763,"text":"70159763 - 2015 - Potential application of radiogenic isotopes and geophysical methods to understand the hydrothermal dystem of the Upper Geyser Basin, Yellowstone National Park","interactions":[],"lastModifiedDate":"2017-04-26T15:10:40","indexId":"70159763","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":273,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"NPS/YELL/NRR—2015/1077","title":"Potential application of radiogenic isotopes and geophysical methods to understand the hydrothermal dystem of the Upper Geyser Basin, Yellowstone National Park","docAbstract":"Numerous geochemical and geophysical studies have been conducted at Yellowstone National Park to better understand the hydrogeologic processes supporting the thermal features of the Park. This report provides the first 87Sr/86Sr and 234U/238U data for thermal water from the Upper Geyser Basin (UGB) intended to evaluate whether heavy radiogenic isotopes might provide insight to sources of groundwater supply and how they interact over time and space. In addition, this report summarizes previous geophysical studies made at Yellowstone National Park and provides suggestions for applying non-invasive ground and airborne studies to better understand groundwater flow in the subsurface of the UGB. \r\nMultiple samples from Old Faithful, Aurum, Grand, Oblong, and Daisy geysers characterized previously for major-ion concentrations and isotopes of water (δ2H, δ18O, and 3H) were analyzed for Sr and U isotopes. Concentrations of dissolved Sr and U are low (4.3–128 ng g-1 Sr and 0.026–0.0008 ng g-1 U); consequently only 87Sr/86Sr data are reported for most samples. Values of 87Sr/86Sr for most geysers remained uniform between April and September 2007, but show large increases in all five geysers between late October 2007 and early April, 2008. By late summer of 2008, 87Sr/86Sr values returned to values similar to those observed a year earlier. Similar patterns are not present in major-ion data measured on the same samples. Furthermore, large geochemical differences documented between geysers are not observed in 87Sr/86Sr data, although smaller differences between sites may be present. Sr-isotope data are consistent with a stratified hydrologic system where water erupted in spring and summer of 2007 and summer of 2008 equilibrated with local intracaldera rhyolite flows at shallower depths. Water erupted between October 2007 and April 2008 includes greater amounts of groundwater that circulated deep enough to acquire a radiogenic 87Sr/86Sr, most likely from Archean basement rocks. Details of how the shallow and deep components interact and mechanisms causing these interactions remain unknown, but the data demonstrate the usefulness of obtaining Sr-isotope data from future sample campaigns. \r\nGeophysical methods that would be useful for characterization of the UGB subsurface properties and geothermal system include electromagnetic (EM), gravity, and ambient seismic. A suite of ground-based EM methods could be used in a synergistic combination together with airborne EM surveys to provide data for a range of spatial scales and resolutions. Existing thermal data for the shallow subsurface could be used to relate ground and airborne EM survey data to locations of geothermal fluids near the surface. Gravity surveys would be useful for mapping subsurface density anomalies and possibly monitoring changes in degree of saturation with groundwater. Ambient seismic surveys would be useful for estimating the thickness of unconsolidated deposits that contain the shallow groundwater system. \r\nA study that combines radiogenic isotope tracers with geophysical methods has the potential to better characterize the geothermal workings in the UGB. Insights gained could lead to a better understanding of the geothermal system and how Park infrastructure may cause perturbations. Measurements of radiogenic isotopes from multiple geysers and pools in localized areas within the UGB that are coupled with data from geophysical surveys would help refine conceptual models of mixing between deep- and shallow-derived subsurface fluids.","language":"English","publisher":"National Park Service","usgsCitation":"Paces, J.B., Long, A.J., and Koth, K.R., 2015, Potential application of radiogenic isotopes and geophysical methods to understand the hydrothermal dystem of the Upper Geyser Basin, Yellowstone National Park: Natural Resource Report NPS/YELL/NRR—2015/1077, Report: viii, 33 p.; Appendixes A & B.","productDescription":"Report: viii, 33 p.; Appendixes A & B","ipdsId":"IP-068244","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311583,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2224966/"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.060791015625,\n              43.878097874251736\n            ],\n            [\n              -109.70947265625,\n              43.878097874251736\n            ],\n            [\n              -109.70947265625,\n              45.00365115687186\n            ],\n            [\n              -111.060791015625,\n              45.00365115687186\n            ],\n            [\n              -111.060791015625,\n              43.878097874251736\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bde4b0c2e071a99ba6","contributors":{"authors":[{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":580366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koth, Karl R. kkoth@usgs.gov","contributorId":4817,"corporation":false,"usgs":true,"family":"Koth","given":"Karl","email":"kkoth@usgs.gov","middleInitial":"R.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580368,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189739,"text":"70189739 - 2015 - Stress and mass changes at a “wet” volcano: Example during the 2011–2012 volcanic unrest at Kawah Ijen volcano (Indonesia)","interactions":[],"lastModifiedDate":"2017-07-24T08:17:36","indexId":"70189739","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Stress and mass changes at a “wet” volcano: Example during the 2011–2012 volcanic unrest at Kawah Ijen volcano (Indonesia)","docAbstract":"Since 2010, Kawah Ijen volcano has been equipped with seismometers, and its extremely\nacid volcanic lake has been monitored using temperature and leveling sensors, providing unprecedented\ntime resolution of multiparametric data for an acidic volcanic lake. The nature of stress and mass changes\nof the volcano is studied by combining seismic analyses and volcanic lake measurements that were made\nduring the strongest unrest ever recorded by the seismic network at Kawah Ijen. The distal VT earthquake\nswarm that occurred in May 2011 was the precursor of volcanic unrest in October 2011 that caused an\nincrease in shallow earthquakes. The proximal VT earthquakes opened pathways for ﬂuids to ascend by\nincreasing the permeability of the rock matrix. The following months were characterized by two periods\nof strong heat and mass discharge into the lake and by the initiation of monochromatic tremor (MT)\nactivity when steam/gases interacted with shallow portions of the aquifer. Signiﬁcant seismic velocity\nvariations, concurrent with water level rises in which water contained a large amount of steam/gas, were\nassociated with the crises, that caused an although the unrest did not aﬀect the shallow hydrothermal\nsystem at a large scale. Whereas shallow VT earthquakes likely reﬂect a magmatic intrusion, MT and relative\nseismic velocity changes are clearly associated with shallow hydrothermal processes. These results will\nfacilitate the forecast of future crises.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JB011590","usgsCitation":"Caudron, C., Lecocq, T., Syahbana, D.K., McCausland, W., Watlet, A., Camelbeeck, T., Bernard, A., and , S., 2015, Stress and mass changes at a “wet” volcano: Example during the 2011–2012 volcanic unrest at Kawah Ijen volcano (Indonesia): Journal of Geophysical Research, v. 120, no. 7, p. 5117-5134, https://doi.org/10.1002/2014JB011590.","productDescription":"15 p.","startPage":"5117","endPage":"5134","ipdsId":"IP-060482","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471551,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jb011590","text":"Publisher Index Page"},{"id":344228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia","otherGeospatial":"Kawah Ijen","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              111.6595458984375,\n              -9.497826059631086\n            ],\n            [\n              116.40563964843749,\n              -9.497826059631086\n            ],\n            [\n              116.40563964843749,\n              -6.48452534126518\n            ],\n            [\n              111.6595458984375,\n              -6.48452534126518\n            ],\n            [\n              111.6595458984375,\n              -9.497826059631086\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"120","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-21","publicationStatus":"PW","scienceBaseUri":"59770750e4b0ec1a48889f7e","contributors":{"authors":[{"text":"Caudron, Corentin","contributorId":194972,"corporation":false,"usgs":false,"family":"Caudron","given":"Corentin","affiliations":[],"preferred":false,"id":706040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lecocq, Thomas","contributorId":141030,"corporation":false,"usgs":false,"family":"Lecocq","given":"Thomas","email":"","affiliations":[{"id":13659,"text":"Royal Observatory of Belgium","active":true,"usgs":false}],"preferred":false,"id":706041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Syahbana, Devy K.","contributorId":194994,"corporation":false,"usgs":false,"family":"Syahbana","given":"Devy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":706042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCausland, Wendy wmccausland@usgs.gov","contributorId":5497,"corporation":false,"usgs":true,"family":"McCausland","given":"Wendy","email":"wmccausland@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":706039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watlet, Arnaud","contributorId":194995,"corporation":false,"usgs":false,"family":"Watlet","given":"Arnaud","email":"","affiliations":[],"preferred":false,"id":706043,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Camelbeeck, Thierry","contributorId":141031,"corporation":false,"usgs":false,"family":"Camelbeeck","given":"Thierry","email":"","affiliations":[{"id":13659,"text":"Royal Observatory of Belgium","active":true,"usgs":false}],"preferred":false,"id":706044,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bernard, Alain","contributorId":194976,"corporation":false,"usgs":false,"family":"Bernard","given":"Alain","email":"","affiliations":[],"preferred":false,"id":706045,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":" Surono","contributorId":149582,"corporation":false,"usgs":false,"given":"Surono","email":"","affiliations":[],"preferred":false,"id":706046,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70191674,"text":"70191674 - 2015 - User-interactive sediment budgets in a browser: A web application for river science and management","interactions":[],"lastModifiedDate":"2018-02-20T13:56:00","indexId":"70191674","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"User-interactive sediment budgets in a browser: A web application for river science and management","title":"User-interactive sediment budgets in a browser: A web application for river science and management","docAbstract":"Decision-support tools providing accurate, near-real-time data and user-friendly interactive visualizations are of critical value to resource managers tasked with planning and carrying out management programs in their domain. Creating a system to continuously aggregate datasets and recompute derived values is difficult and error-prone when attempted by hand. To address this need for river managers in support of sediment budgeting, we have created a web-based, open source suite of tools and processes that 1) continually aggregate data of interest, 2) recompute derived values based upon latest available data, and 3) update visualizations on-demand, providing simple front-end tools available to resource managers and the public. For the first time, engineers and scientists can access these tools freely over the web to assist them with planning and adaptive management decisions.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 5th Federal Interagency Hydrologic Modeling Conference and the 10th Federal Interagency Sedimentation Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"5th Federal Interagency Hydrologic Modeling Conference and the 10th Federal Interagency Sedimentation Conference ","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"U.S. Department of Interior","usgsCitation":"Sibley, D.M., Topping, D., Hines, M., and Garner, B.D., 2015, User-interactive sediment budgets in a browser: A web application for river science and management, <i>in</i> Proceedings of the 5th Federal Interagency Hydrologic Modeling Conference and the 10th Federal Interagency Sedimentation Conference, Reno, NV, April 19-23, 2015, p. 595-605.","productDescription":"11 p.","startPage":"595","endPage":"605","ipdsId":"IP-076433","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":351830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346747,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/index.html"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeeb10e4b0da30c1bfc644","contributors":{"authors":[{"text":"Sibley, David M. dmsibley@usgs.gov","contributorId":4813,"corporation":false,"usgs":true,"family":"Sibley","given":"David","email":"dmsibley@usgs.gov","middleInitial":"M.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":713025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":197244,"corporation":false,"usgs":true,"family":"Topping","given":"David J.","email":"dtopping@usgs.gov","affiliations":[],"preferred":true,"id":713026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, Megan 0000-0002-9845-4849 mhines@usgs.gov","orcid":"https://orcid.org/0000-0002-9845-4849","contributorId":4783,"corporation":false,"usgs":true,"family":"Hines","given":"Megan","email":"mhines@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713027,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garner, Bradley D. 0000-0002-6912-5093 bdgarner@usgs.gov","orcid":"https://orcid.org/0000-0002-6912-5093","contributorId":2133,"corporation":false,"usgs":true,"family":"Garner","given":"Bradley","email":"bdgarner@usgs.gov","middleInitial":"D.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":713028,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193683,"text":"70193683 - 2015 - Regulating services as measures of ecological resilience on DoD lands","interactions":[],"lastModifiedDate":"2017-12-21T10:20:18","indexId":"70193683","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"Project RC-201114","title":"Regulating services as measures of ecological resilience on DoD lands","docAbstract":"<p>Knowledge of the capacity and flow of ecosystem services can help DoD land managers make decisions that enhance cost-effectiveness, minimize environmental damage, and maximize resources available for military missions. We demonstrated a methodology to quantify and map selected regulating services (RS), which helps land managers envision tradeoffs. Our objectives were to 1) estimate current capacity of and demand for selected RS within DoD lands, 2) examine the effects of future DoD land management and climate changes on the capacity and flow of these RS, and 3) project how land-use and climate changes in nearby lands affect future demand for RS. Our approach incorporates widely accepted models and equations, remote sensing, GIS analysis, and stakeholder involvement. Required data include land cover/use, soil type, precipitation, and air temperature. We integrated data into the a) Surface Curve Number Method and b) Revised Universal Soil Loss Equation to estimate capacity of sediment, nitrogen (N) and surface-water regulation. Capacities and flows of RS vary greatly across landscapes and are likely to vary as climate changes or development occurs. Analyses of RS capacity and flow can help managers and planners prioritize actions in the context of best management practices and compatible use buffers. Staff surveys indicated that our approach was informative and easy to use. Implementation may be most limited by on-installation personnel time.</p>","language":"English","publisher":"Environmental Security Technology Certification Program (ESTCP)","publisherLocation":"Alexandria, VA","usgsCitation":"Angermeier, P.L., and Villamagna, A.M., 2015, Regulating services as measures of ecological resilience on DoD lands, v, 93 p.","productDescription":"v, 93 p.","ipdsId":"IP-064228","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":350118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350117,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://serdp-estcp.org/Program-Areas/Resource-Conservation-and-Resiliency/Natural-Resources/Watershed-Processes-and-Management/RC-201114"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fe3be4b06e28e9c252cd","contributors":{"authors":[{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villamagna, Amy M.","contributorId":201421,"corporation":false,"usgs":false,"family":"Villamagna","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":725238,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193636,"text":"70193636 - 2015 - Lahars and their deposits","interactions":[],"lastModifiedDate":"2017-11-30T10:22:43","indexId":"70193636","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Lahars and their deposits","docAbstract":"Lahars occur during volcanic eruptions--or, less predictably, through other processes on steep volcanic terrain--when large masses of water mixed with sediment sweep down and off volcano slopes and commonly incorporate additional sediment and water.  Because lahars are water-saturated, both liquid and solid interactions influence their behavior and distinguish them from other related phenomena common to volcanoes, such as debris avalanches and floods.  The rock fragments carried by lahars make them especially destructive; the abundant liquid contained in them allows them to flow over gentle gradients and inundate areas far away from their sources.  People in such distal areas commonly neither expect the danger nor anticipate the destructive power of lahars.","largerWorkTitle":"Encyclopedia of volcanoes","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-385938-9.00037-7","usgsCitation":"Vallance, J.W., and Iverson, R.M., 2015, Lahars and their deposits, chap. <i>of</i> Encyclopedia of volcanoes, https://doi.org/10.1016/B978-0-12-385938-9.00037-7.","productDescription":"26 p.","endPage":"649","numberOfPages":"664","ipdsId":"IP-056614","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":349559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fe3be4b06e28e9c252cf","contributors":{"authors":[{"text":"Vallance, James W. 0000-0002-3083-5469 jvallance@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5469","contributorId":547,"corporation":false,"usgs":true,"family":"Vallance","given":"James","email":"jvallance@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":719705,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189952,"text":"70189952 - 2015 - Groundwater: The disregarded component in lake water and nutrient budgets, Part 1: Effects of groundwater on hydrology","interactions":[],"lastModifiedDate":"2017-08-01T14:35:16","indexId":"70189952","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater: The disregarded component in lake water and nutrient budgets, Part 1: Effects of groundwater on hydrology","docAbstract":"Lake eutrophication is a large and growing problem in many parts of the world, commonly due to anthropogenic sources of\nnutrients. Improved quantification of nutrient inputs is required to address this problem, including better determination of\nexchanges between groundwater and lakes. This first of a two-part review provides a brief history of the evolution of the study of\ngroundwater exchange with lakes, followed by a listing of the most commonly used methods for quantifying this exchange.\nRates of exchange between lakes and groundwater compiled from the literature are statistically summarized for both exfiltration\n(flow from groundwater to a lake) and infiltration (flow from a lake to groundwater), including per cent contribution of\ngroundwater to lake-water budgets. Reported rates of exchange between groundwater and lakes span more than five orders of\nmagnitude. Median exfiltration is 0.74 cm/day, and median infiltration is 0.60 cm/day. Exfiltration ranges from near 0% to 94%\nof input terms in lake-water budgets, and infiltration ranges from near 0% to 91% of loss terms. Median values for exfiltration\nand infiltration as percentages of input and loss terms of lake-water budgets are 25% and 35%, respectively. Quantification of the\ngroundwater term is somewhat method dependent, indicating that calculating the groundwater component with multiple methods\ncan provide a better understanding of the accuracy of estimates. The importance of exfiltration to a lake budget ranges widely for\nlakes less than about 100 ha in area but generally decreases with increasing lake area, particularly for lakes that exceed 100 ha in\narea. No such relation is evident for lakes where infiltration occurs, perhaps because of the smaller sample size. Copyright ©\n2014 John Wiley & Sons, Ltd.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10403","usgsCitation":"Rosenberry, D.O., Lewandowski, J., Meinikmann, K., and Nutzmann, G., 2015, Groundwater: The disregarded component in lake water and nutrient budgets, Part 1: Effects of groundwater on hydrology: Hydrological Processes, v. 29, no. 13, p. 2895-2921, https://doi.org/10.1002/hyp.10403.","productDescription":"27 p.","startPage":"2895","endPage":"2921","ipdsId":"IP-053819","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"13","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-08","publicationStatus":"PW","scienceBaseUri":"59819315e4b0e2f5d463b7a1","contributors":{"authors":[{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":706861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewandowski, Jorg","contributorId":195317,"corporation":false,"usgs":false,"family":"Lewandowski","given":"Jorg","email":"","affiliations":[],"preferred":false,"id":706862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meinikmann, Karin","contributorId":195318,"corporation":false,"usgs":false,"family":"Meinikmann","given":"Karin","email":"","affiliations":[],"preferred":false,"id":706863,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nutzmann, Gunnar","contributorId":195319,"corporation":false,"usgs":false,"family":"Nutzmann","given":"Gunnar","email":"","affiliations":[],"preferred":false,"id":706864,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198169,"text":"70198169 - 2015 - Fecal indicator and pathogenic bacteria and their antibiotic resistance in alluvial groundwater of an irrigated agricultural region with dairies","interactions":[],"lastModifiedDate":"2018-07-18T16:07:40","indexId":"70198169","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Fecal indicator and pathogenic bacteria and their antibiotic resistance in alluvial groundwater of an irrigated agricultural region with dairies","docAbstract":"Surveys of microbiological groundwater quality were conducted in a region with intensive animal agriculture in California, USA. The survey included monitoring and domestic wells in eight concentrated animal feeding operations (CAFOs) and 200 small (domestic and community supply district) supply wells across the region. Campylobacter was not detected in groundwater, whereas Escherichia coli O157:H7 and Salmonella were each detected in 2 of 190 CAFO monitoring well samples. Nonpathogenic generic E. coli and Enterococcus spp. were detected in 24.2% (46/190) and 97.4% (185/190) groundwater samples from CAFO monitoring wells and in 4.2% (1/24) and 87.5% (21/24) of CAFO domestic wells, respectively. Concentrations of both generic E. coli and Enterococcus spp. were significantly associated with well depth, season, and the type of adjacent land use in the CAFO. No pathogenic bacteria were detected in groundwater from 200 small supply wells in the extended survey. However, 4.5 to 10.3% groundwater samples were positive for generic E. coli and Enterococcus. Concentrations of generic E. coli were not significantly associated with any factors, but concentrations of Enterococcus were significantly associated with proximity to CAFOs, seasons, and concentrations of potassium in water. Among a subset of E. coli and Enterococcus isolates from both surveys, the majority of E. coli (63.6%) and Enterococcus (86.1%) isolates exhibited resistance to multiple (≥3) antibiotics. Findings confirm significant microbial and antibiotic resistance loading to CAFO groundwater. Results also demonstrate significant attenuative capacity of the unconfined alluvial aquifer system with respect to microbial transport.","language":"English","publisher":"American Society of Agronomy","doi":"10.2134/jeq2015.03.0139","usgsCitation":"Li, X., Atwill, E.R., Antaki, E., Applegate, O., Bergamaschi, B.A., Bond, R.F., Chase, J.T., Ransom, K.M., Samuels, W.B., Watanabe, N., and Harter, T., 2015, Fecal indicator and pathogenic bacteria and their antibiotic resistance in alluvial groundwater of an irrigated agricultural region with dairies: Journal of Environmental Quality, v. 44, no. 5, p. 1435-1447, https://doi.org/10.2134/jeq2015.03.0139.","productDescription":"13 p.","startPage":"1435","endPage":"1447","ipdsId":"IP-099545","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471538,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2015.03.0139","text":"Publisher Index Page"},{"id":355817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.84912109375,\n              33.284619968887675\n            ],\n            [\n              -115.57617187499999,\n              33.284619968887675\n            ],\n            [\n              -115.57617187499999,\n              39.30029918615029\n            ],\n            [\n              -122.84912109375,\n              39.30029918615029\n            ],\n            [\n              -122.84912109375,\n              33.284619968887675\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"5","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-01","publicationStatus":"PW","scienceBaseUri":"5b6fcb43e4b0f5d57878ecab","contributors":{"authors":[{"text":"Li, Xunde","contributorId":206430,"corporation":false,"usgs":false,"family":"Li","given":"Xunde","email":"","affiliations":[{"id":37325,"text":"Univ. Calif.-Davis, Dept. of Population Health and Reproduction; Western Institute for Food Safety and Security","active":true,"usgs":false}],"preferred":false,"id":740398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwill, Edward R.","contributorId":206431,"corporation":false,"usgs":false,"family":"Atwill","given":"Edward","email":"","middleInitial":"R.","affiliations":[{"id":37325,"text":"Univ. Calif.-Davis, Dept. of Population Health and Reproduction; Western Institute for Food Safety and Security","active":true,"usgs":false}],"preferred":false,"id":740399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Antaki, Elizabeth","contributorId":206432,"corporation":false,"usgs":false,"family":"Antaki","given":"Elizabeth","email":"","affiliations":[{"id":37326,"text":"Western Institute for Food Safety and Security","active":true,"usgs":false}],"preferred":false,"id":740400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Applegate, Olin","contributorId":206433,"corporation":false,"usgs":false,"family":"Applegate","given":"Olin","email":"","affiliations":[{"id":37327,"text":"Dept. of Land, Air and Water Resources, Univ. of California, Davis, CA","active":true,"usgs":false}],"preferred":false,"id":740401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740397,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bond, Ronald F.","contributorId":206447,"corporation":false,"usgs":false,"family":"Bond","given":"Ronald","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":740481,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chase, Jennifer T. jchase@usgs.gov","contributorId":3961,"corporation":false,"usgs":true,"family":"Chase","given":"Jennifer","email":"jchase@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":740482,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ransom, Katherine M","contributorId":178789,"corporation":false,"usgs":false,"family":"Ransom","given":"Katherine","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":740483,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Samuels, William B.","contributorId":198816,"corporation":false,"usgs":false,"family":"Samuels","given":"William","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":740484,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Watanabe, Naoko","contributorId":178244,"corporation":false,"usgs":false,"family":"Watanabe","given":"Naoko","email":"","affiliations":[],"preferred":false,"id":740485,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Harter, Thomas","contributorId":178245,"corporation":false,"usgs":false,"family":"Harter","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":740486,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70189993,"text":"70189993 - 2015 - Underpressure in Mesozoic and Paleozoic rock units in the Midcontinent of the United States","interactions":[],"lastModifiedDate":"2017-08-01T15:37:13","indexId":"70189993","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Underpressure in Mesozoic and Paleozoic rock units in the Midcontinent of the United States","docAbstract":"Potentiometric surfaces for Paleozoic strata, based on water well levels and selected drill-stem tests, reveal the control on hydraulic head exerted by outcrops in eastern Kansas and Oklahoma. From outcrop in the east, the westward climb of hydraulic head is much less than that of the land surface, with heads falling so far below land surface that the pressure:depth ratio in eastern Colorado is less than 5.7 kPa/m (0.25 psi/ft). Permian evaporites separate the Paleozoic hydrogeologic units from a Lower Cretaceous (Dakota Group) aquifer, and a highly saline brine plume pervading Paleozoic units in central Kansas and Oklahoma is attributed to dissolution of Permian halite. Underpressure also exists in the Lower Cretaceous hydrogeologic unit in the Denver Basin, which is hydrologically separate from the Paleozoic units. The data used to construct the seven potentiometric surfaces were also used to construct seven maps of pressure:depth ratio. These latter maps are a function of the differences among hydraulic head, land-surface elevation, and formation elevation. As a consequence, maps of pressure:depth ratio reflect the interplay of three topologies that evolved independently with time. As underpressure developed, gas migrated in response to the changing pressure regime, most notably filling the Hugoton gas field in southwestern Kansas. The timing of underpressure development was determined by the timing of outcrop exposure and tilting of the Great Plains. Explorationists in western Kansas and eastern Colorado should not be surprised if a reservoir is underpressured; rather, they should be surprised if it is not.","language":"English","publisher":"AAPG","doi":"10.1306/04171514169","usgsCitation":"Nelson, P.H., Gianoutsos, N.J., and Drake II, R.M., 2015, Underpressure in Mesozoic and Paleozoic rock units in the Midcontinent of the United States: AAPG Bulletin, v. 99, no. 10, p. 1861-1892, https://doi.org/10.1306/04171514169.","productDescription":"32 p.","startPage":"1861","endPage":"1892","ipdsId":"IP-059467","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":344519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Colorado, Kansas, Iowa, Missouri, Nebraska, New Mexico, Oklahoma, Texas, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.2705078125,\n              43.45291889355465\n            ],\n            [\n              -107.4462890625,\n              33.211116472416855\n            ],\n            [\n              -91.8896484375,\n              33.00866349457558\n            ],\n            [\n              -92.28515625,\n              43.51668853502906\n            ],\n            [\n              -107.2705078125,\n              43.45291889355465\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"99","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59819315e4b0e2f5d463b79f","contributors":{"authors":[{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":707030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":707031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drake II, Ronald M. 0000-0002-1770-4667 rmdrake@usgs.gov","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":172671,"corporation":false,"usgs":true,"family":"Drake II","given":"Ronald","email":"rmdrake@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":707032,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70159390,"text":"70159390 - 2015 - Science foundation Chapter 5 Appendix 5.1: Case study diving ducks","interactions":[],"lastModifiedDate":"2017-07-19T15:43:02","indexId":"70159390","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Science foundation Chapter 5 Appendix 5.1: Case study diving ducks","docAbstract":"<p>Diving ducks are the most abundant group of waterfowl that overwinter in the open bays and ponds of San Francisco Bay (SFB). Species within this group are primarily benthivores that dive to obtain their macroinvertebrate prey in bottom sediments, although at times they may eat plant matter or forage in the water column. These migratory species include bay ducks (lesser scaup<i> Aythya affinis</i>, greater scaup <i>A. marila</i>, canvasback <i>A. valisineria</i>), sea ducks (surf scoter <i>Melanitta perspicillata</i> and bufflehead<i> Bucephala albeola</i>), and a stiff-tailed duck (ruddy duck <i>Oxyura jamaicensis</i>). These species vary from largest to smallest body mass: canvasback, greater scaup, surf scoter, lesser scaup, ruddy duck, and bufflehead. </p><p>Their breeding grounds range from Central Valley grasslands, intermountain wetlands, prairie potholes, boreal forest, and Arctic tundra. Their wintering populations in SFB are most abundant between October and April, and SFB comprises up to 50% of the number counted during midwinter surveys on the lower Pacific coast. Species are found in all SFB regions, but greater scaup and surf scoter are most often seen in subtidal to intertidal waters and are not commonly found in baylands. In contrast, ruddy duck and bufflehead populations are most abundant in baylands, particularly in managed ponds. Canvasbacks are commonly found at estuaries or creek mouths.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The baylands and climate change what we can do: Baylands ecosystem habitat goals science update 2015","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"California State Coastal Conservancy","usgsCitation":"Takekawa, J.Y., De La Cruz, S., Ackerman, J., and Yarris, G., 2015, Science foundation Chapter 5 Appendix 5.1: Case study diving ducks, 11 p.","productDescription":"11 p.","ipdsId":"IP-060710","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":340983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":310637,"type":{"id":15,"text":"Index Page"},"url":"https://baylandsgoals.org/case-studies/"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.29406738281249,\n              36.86204269508728\n            ],\n            [\n              -120.8551025390625,\n              36.86204269508728\n            ],\n            [\n              -120.8551025390625,\n              38.44498466889473\n            ],\n            [\n              -123.29406738281249,\n              38.44498466889473\n            ],\n            [\n              -123.29406738281249,\n              36.86204269508728\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5912d539e4b0e541a03d452d","contributors":{"authors":[{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":578356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De La Cruz, Susan sdelacruz@usgs.gov","contributorId":131159,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":578357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":578355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yarris, Gregory S.","contributorId":115361,"corporation":false,"usgs":true,"family":"Yarris","given":"Gregory S.","affiliations":[],"preferred":false,"id":578358,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70142172,"text":"70142172 - 2015 - Hydrologic response for a high-elevation storm in the South Dakota Black Hills","interactions":[],"lastModifiedDate":"2017-10-12T20:00:12","indexId":"70142172","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5422,"text":"Internal Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"2015-01","title":"Hydrologic response for a high-elevation storm in the South Dakota Black Hills","docAbstract":"A group of thunderstorms produced >4 in of rain during four periods of progressively more intense rainfall across a small part of a relatively high-elevation area of the northern Black Hills on 5 August 2014. The resulting hydrologic response was noteworthy in two very small headwater drainage basins, where the measured peak flows are by far the largest—relative to drainage area—ever documented for the high-elevation Limestone Plateau area. However, peak flows attenuated quickly in a downstream direction owing to the storms tracking perpendicular to the drainage direction, moderately dry antecedent conditions, and progressive widening of the valley bottoms.","language":"English","publisher":"National Oceanic and Atmospheric Administration/National Weather Service","usgsCitation":"Bunkers, M.J., Smith, M., Driscoll, D.G., and Hoogestraat, G., 2015, Hydrologic response for a high-elevation storm in the South Dakota Black Hills: Internal Report 2015-01, 21 p.","productDescription":"21 p.","ipdsId":"IP-061903","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science 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,{"id":70188519,"text":"70188519 - 2015 - Gondolellid conodonts and depositional setting of the Phosphoria Formation","interactions":[],"lastModifiedDate":"2017-06-14T13:57:38","indexId":"70188519","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2735,"text":"Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Gondolellid conodonts and depositional setting of the Phosphoria Formation","docAbstract":"<p><span>The Phosphoria Formation and related rocks were deposited over an 8.9 m.y. interval beginning approximately 274.0Ma and ending approximately 265.1Ma. The Meade Peak Phosphatic Shale Member was deposited in southeastern Idaho and adjacent Wyoming over 5.4 m.y. from approximately 273.2 to 268.6 Ma. The Retort Phosphatic Shale Member was deposited in southwestern Montana and west-central Wyoming over 1.3 m.y. from approximately 267.4 to 266.1Ma. The base of the Roadian Stage of the Middle Permian occurs within the lower phosphate zone of the Meade Peak. The base of the Wordian Stage occurs within the upper phosphate zone of the Meade Peak. The presence of a cool-water brachiopod fauna, cool-water conodont faunas, and the absence of fusulinids throughout the Phosphoria basin indicate the presence of pervasive cool, upwelling waters. Acritarchs are intimately associated with phosphorites and phosphatic shales and may have been the primary organic producer to help drive phosphate production. The gondolellid conodont fauna of the Phosphoria Formation links a geographic cline of Jinogondolella nankingensis from the Delaware basin, West Texas, to the Sverdrup basin, Canadian Arctic, and shows distinct differentiation in species distribution, as do other conodont groups, within the Phosphoria basin. Ten species and two subspecies of gondolellid conodonts are recognized from the Phosphoria Formation and related rocks that belong to Mesogondolella and Jinogondolella.</span></p>","language":"English","publisher":"MicroAccess","usgsCitation":"Wardlaw, B.R., 2015, Gondolellid conodonts and depositional setting of the Phosphoria Formation: Micropaleontology, v. 61, no. 4-5, p. 335-368.","productDescription":"34 p. ","startPage":"335","endPage":"368","ipdsId":"IP-039139","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States ","state":"Montana, Wyoming ","otherGeospatial":"Phosphoria 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 \"}}]}","volume":"61","issue":"4-5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59424b3ae4b0764e6c65dc3a","contributors":{"authors":[{"text":"Wardlaw, Bruce R. bwardlaw@usgs.gov","contributorId":266,"corporation":false,"usgs":true,"family":"Wardlaw","given":"Bruce","email":"bwardlaw@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":698126,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192338,"text":"70192338 - 2015 - The effect of UV-C exposure on larval survival of the dreissenid quagga mussel","interactions":[],"lastModifiedDate":"2017-10-25T09:55:27","indexId":"70192338","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","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":"The effect of UV-C exposure on larval survival of the dreissenid quagga mussel","docAbstract":"<p>The rapid spread of quagga mussels (<i>Dreissena rostriformis bugensis</i>) has lead to their invasion of Lake Mead, Nevada, the largest reservoir in North America and partially responsible for providing water to millions of people in the southwest. Current strategies for mitigating the growth and spread of quagga mussels primarily include physical and chemical means of removing adults within water treatment, delivery, and hydropower facilities. In the present study, germicidal ultraviolet light (UV-C) was used to target the larval stage of wild-caught quagga mussel. The lethal effect of UV-C was evaluated at four different doses, 0.0, 13.1, 26.2, and 79.6 mJ/cm<sup>2</sup>. Tested doses were determined based on results from preliminary trials. The results demonstrate that germicidal UV-C is effective in controlling the free-swimming life history stages of larval quagga mussels.</p>","language":"English","publisher":"PLOS One","doi":"10.1371/journal.pone.0133039","usgsCitation":"Stewart-Malone, A., Misamore, M., Wilmoth, S.K., Reyes, A., Wong, W.H., and Gross, J., 2015, The effect of UV-C exposure on larval survival of the dreissenid quagga mussel: PLoS ONE, v. 10 , no. 7,  e0133039; 11 p., https://doi.org/10.1371/journal.pone.0133039.","productDescription":" e0133039; 11 p.","ipdsId":"IP-055533","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":471553,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0133039","text":"Publisher Index Page"},{"id":347312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","city":"Lake Mead","volume":"10 ","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-17","publicationStatus":"PW","scienceBaseUri":"59f1a2a8e4b0220bbd9d9f96","contributors":{"authors":[{"text":"Stewart-Malone, Alecia","contributorId":198233,"corporation":false,"usgs":false,"family":"Stewart-Malone","given":"Alecia","email":"","affiliations":[],"preferred":false,"id":715433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Misamore, Michael","contributorId":198234,"corporation":false,"usgs":false,"family":"Misamore","given":"Michael","email":"","affiliations":[],"preferred":false,"id":715434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilmoth, Siri K. swilmoth@usgs.gov","contributorId":5501,"corporation":false,"usgs":true,"family":"Wilmoth","given":"Siri","email":"swilmoth@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":715432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reyes, Alejandro","contributorId":152369,"corporation":false,"usgs":false,"family":"Reyes","given":"Alejandro","email":"","affiliations":[{"id":18921,"text":"USGS Northern Rocky Mountain Science Center","active":true,"usgs":false}],"preferred":false,"id":715435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wong, Wai Hing","contributorId":198235,"corporation":false,"usgs":false,"family":"Wong","given":"Wai","email":"","middleInitial":"Hing","affiliations":[],"preferred":false,"id":715436,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gross, Jackson","contributorId":198236,"corporation":false,"usgs":false,"family":"Gross","given":"Jackson","affiliations":[],"preferred":false,"id":715437,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192139,"text":"70192139 - 2015 - Geologic framework for the assessment of undiscovered oil and gas resources in sandstone reservoirs of the Upper Jurassic-Lower Cretaceous Cotton Valley Group, U.S. Gulf of Mexico region","interactions":[],"lastModifiedDate":"2017-11-15T11:49:46","indexId":"70192139","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geologic framework for the assessment of undiscovered oil and gas resources in sandstone reservoirs of the Upper Jurassic-Lower Cretaceous Cotton Valley Group, U.S. Gulf of Mexico region","docAbstract":"The U.S. Geological Survey (USGS) is assessing the undiscovered oil and gas resources in sandstone reservoirs of the Upper Jurassic–Lower Cretaceous Cotton Valley Group in onshore areas and State waters of the U.S. Gulf of Mexico region. The assessment is based on geologic elements of a total petroleum system. Four assessment units (AUs) are defined based on characterization of hydrocarbon source and reservoir rocks, seals, traps, and the geohistory of the hydrocarbon products. Strata in each AU share similar stratigraphic, structural, and hydrocarbon-charge histories.\nThe Cotton Valley Group extends in the subsurface from southern Texas to the Florida Panhandle in an arcuate belt that crosses northern Louisiana, the southern part of Arkansas, and southern Mississippi and Alabama. Three of the AUs are quantitatively assessed for undiscovered volumes of hydrocarbons in conventional accumulations. The Cotton Valley Updip Oil AU includes areas between the maximum updip limit of the Cotton Valley Group and a curved belt of regional faults (included in the Peripheral Fault System AU). Hydrocarbon charge to this AU remains uncertain. The Peripheral Fault System Oil and Gas AU includes the Mexia, Talco, State Line, South Arkansas, Pickens, Gilbertown, and other fault segments, which trapped early oil that migrated from source rocks within the Smackover Formation. Hydrocarbons in the Downdip Oil and Gas AU are primarily associated with low-amplitude salt-related features in the East Texas, North Louisiana, and Mississippi salt basins. The Tight Sandstone Gas AU contains gas-charged sandstones previously referred to collectively as “massive.” Their reservoir properties are consistent with the USGS’s definition of continuous reservoirs, and their resources, therefore, are assessed using a separate methodology. Optimal coincidence of low-permeability sandstone, gas-mature source rocks, and complex structures of the regional Sabine feature encouraged development of a general “sweet spot” area in eastern Texas.","conferenceTitle":"Gulf Coast Association of Geological Societies 2015 65th Annual Convention","conferenceDate":"September 20-22, 2015","conferenceLocation":"Houston, TX","language":"English","publisher":"Gulf Coast Association of Geological Societies","usgsCitation":"Eoff, J.D., Dubiel, R.F., Pearson, O.N., and Whidden, K.J., 2015, Geologic framework for the assessment of undiscovered oil and gas resources in sandstone reservoirs of the Upper Jurassic-Lower Cretaceous Cotton Valley Group, U.S. Gulf of Mexico region, Gulf Coast Association of Geological Societies 2015 65th Annual Convention, v. 65, Houston, TX, September 20-22, 2015, p. 93-105.","productDescription":"16 p.","startPage":"93","endPage":"105","ipdsId":"IP-064950","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":348880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347044,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/gcags/data/065/065001/93_gcags650093.htm"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -101.4697265625,\n              24.287026865376436\n            ],\n            [\n              -79.62890625,\n              24.287026865376436\n            ],\n            [\n              -79.62890625,\n              35.06597313798418\n            ],\n            [\n              -101.4697265625,\n              35.06597313798418\n            ],\n            [\n              -101.4697265625,\n              24.287026865376436\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"65","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fe3ce4b06e28e9c252d7","contributors":{"authors":[{"text":"Eoff, Jennifer D. jeoff@usgs.gov","contributorId":3418,"corporation":false,"usgs":true,"family":"Eoff","given":"Jennifer","email":"jeoff@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":714374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dubiel, Russell F. 0000-0002-1280-0350 rdubiel@usgs.gov","orcid":"https://orcid.org/0000-0002-1280-0350","contributorId":1294,"corporation":false,"usgs":true,"family":"Dubiel","given":"Russell","email":"rdubiel@usgs.gov","middleInitial":"F.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":714375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearson, Ofori N. 0000-0002-9550-1128 opearson@usgs.gov","orcid":"https://orcid.org/0000-0002-9550-1128","contributorId":1680,"corporation":false,"usgs":true,"family":"Pearson","given":"Ofori","email":"opearson@usgs.gov","middleInitial":"N.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":714376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":714377,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70157104,"text":"70157104 - 2015 - Mechanisms of sediment flux between shallows and marshes","interactions":[],"lastModifiedDate":"2017-05-10T12:05:44","indexId":"70157104","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mechanisms of sediment flux between shallows and marshes","docAbstract":"We conducted a field study to investigate temporal variation and forcing mechanisms of sediment flux between a salt marsh and adjacent shallows in northern San Francisco Bay. Suspended-sediment concentration (SSC), tidal currents, and wave properties were measured over the marsh, in marsh creeks, and in bay shallows. Cumulative sediment flux in the marsh creeks was bayward during the study, and was dominated by large bayward flux during the largest tides of the year. This result was unexpected because extreme high tides with long inundation periods are commonly assumed to supply sediment to marshes, and long-term accretion estimates show that the marsh in the study site is depositional. A water mass-balance shows that some landward transport bypassed the creeks, most likely across the marsh-bay interface. An estimate of transport by this pathway based on observed SSC and inferred volume indicates that it was likely much less than the observed export.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Proceedings of Coastal Sediments 2015","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2015","conferenceDate":"May 11-15, 2015","conferenceLocation":"San Diego, CA","language":"English","publisher":"World Scientific","doi":"10.1142/9789814689977_0082","collaboration":"San Francisco Bay National Estuarine Research Reserve","usgsCitation":"Lacy, J.R., Schile, L., Callaway, J., and Ferner, M., 2015, Mechanisms of sediment flux between shallows and marshes, <i>in</i> The Proceedings of Coastal Sediments 2015, San Diego, CA, May 11-15, 2015, https://doi.org/10.1142/9789814689977_0082.","ipdsId":"IP-063014","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":341065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.06335449218749,\n              37.3002752813443\n            ],\n            [\n              -121.4373779296875,\n              37.3002752813443\n            ],\n            [\n              -121.4373779296875,\n              38.28131307922966\n            ],\n            [\n              -123.06335449218749,\n              38.28131307922966\n            ],\n            [\n              -123.06335449218749,\n              37.3002752813443\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-15","publicationStatus":"PW","scienceBaseUri":"591426bee4b0e541a03e960c","contributors":{"authors":[{"text":"Lacy, Jessica R. 0000-0002-2797-6172 jlacy@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":3158,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"jlacy@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":571659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schile, L.M.","contributorId":68013,"corporation":false,"usgs":true,"family":"Schile","given":"L.M.","affiliations":[],"preferred":false,"id":571660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Callaway, J.C.","contributorId":147426,"corporation":false,"usgs":false,"family":"Callaway","given":"J.C.","affiliations":[{"id":16849,"text":"University of San Francisco","active":true,"usgs":false}],"preferred":false,"id":571661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferner, M.C.","contributorId":147427,"corporation":false,"usgs":false,"family":"Ferner","given":"M.C.","affiliations":[{"id":16850,"text":"San Francisco Bay NERR","active":true,"usgs":false}],"preferred":false,"id":571662,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70157102,"text":"70157102 - 2015 - The role of suspension events in cross-shore and longshore suspended sediment transport in the surf zone","interactions":[],"lastModifiedDate":"2017-05-10T12:11:32","indexId":"70157102","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The role of suspension events in cross-shore and longshore suspended sediment transport in the surf zone","docAbstract":"Suspension of sand in the surf zone is intermittent. Especially striking in a time series of concentration are periods of intense suspension, suspension events, when the water column suspended sediment concentration is an order of magnitude greater than the mean concentration. The prevalence, timing, and contribution of suspension events to cross-shore and longshore suspended sediment transport are explored using field data collected in the inner half of the surf zone during a large storm at Duck, NC. Suspension events are defined as periods when the concentration is above a threshold. Events tended to occur during onshore flow under the wave crest, resulting in an onshore contribution to the suspended sediment transport. Even though large events occurred less than 10 percent of the total time, at some locations onshore transport associated with suspension events was greater than mean-current driven offshore-directed transport during non-event periods, causing the net suspended sediment transport to be onshore. Events and fluctuations in longshore velocity were not correlated. However, events did increase the longshore suspended sediment transport by approximately the amount they increase the mean concentration, which can be up to 35%. Because of the lack of correlation, the longshore suspended sediment transport can be modeled without considering the details of the intensity and time of events as the vertical integration of the product of the time-averaged longshore velocity and an event-augmented time-averaged concentration.  However, to accurately model cross-shore suspended sediment transport, the timing and intensity of suspension events must be reproduced.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Proceedings of the Coastal Sediments 2015","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2015","conferenceDate":"May 11-15, 2015","conferenceLocation":"San Diego, CA","language":"English","publisher":"World Scientific","usgsCitation":"Jaffe, B.E., 2015, The role of suspension events in cross-shore and longshore suspended sediment transport in the surf zone, <i>in</i> The Proceedings of the Coastal Sediments 2015, San Diego, CA, May 11-15, 2015.","ipdsId":"IP-063552","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":341066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","city":"Duck","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.036376953125,\n              36.0624217151089\n            ],\n            [\n              -75.6134033203125,\n              36.0624217151089\n            ],\n            [\n              -75.6134033203125,\n              36.53832942872818\n            ],\n            [\n              -76.036376953125,\n              36.53832942872818\n            ],\n            [\n              -76.036376953125,\n              36.0624217151089\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591426bee4b0e541a03e960e","contributors":{"authors":[{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":571652,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70159389,"text":"70159389 - 2015 - Science foundation Chapter 5 Appendix 5.1: Case study dabbling ducks","interactions":[],"lastModifiedDate":"2017-05-09T09:21:30","indexId":"70159389","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Science foundation Chapter 5 Appendix 5.1: Case study dabbling ducks","docAbstract":"<p>Dabbling ducks are the most abundant group of waterfowl that overwinter in the shallow wetlands and ponds of San Francisco Bay (SFB). Species within this group are primarily omnivorous, feeding on both plant material and macroinvertebrate prey by “tipping” to access benthic foods in bottom sediments or by foraging in the water column. Although the majority of these ducks are migratory, smaller numbers also nest locally in the SFB. These species vary in body size, ranging from the large mallard (<i>Anas platyrhynchos</i>) to the small green-winged teal (<i>Anas crecca</i>). Other dabbling duck species present in the SFB include American wigeon (<i>Anas americana</i>), gadwall (<i>Anas strepera</i>), cinnamon teal (<i>Anas cyanoptera</i>), northern shoveler (<i>Anas clypeata</i>), northern pintail (<i>Anas acuta</i>), and wood duck (<i>Aix sponsa</i>). </p><p>Most of these dabbling duck species are known to breed in the SFB with the exception of the American wigeon and green-winged teal. However, the majority of wintering ducks originate from breeding grounds in the Central Valley of California, Pacific Coast States, Alaska, and Intermountain States/provinces, prairie potholes, and boreal forest. Their wintering populations in SFB are greatest between October and January, and dabbling duck species are found in all SFB regions. However, most dabbling duck use is associated with former salt production ponds and in the north and south bays, and managed wetlands of the Suisun Marsh.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The baylands and climate change what we can do: Baylands ecosystem habitat goals science update 2015","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"California State Coastal Conservancy","usgsCitation":"Yarris, G., and Ackerman, J., 2015, Science foundation Chapter 5 Appendix 5.1: Case study dabbling ducks, 6 p.","productDescription":"6 p.","ipdsId":"IP-060903","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":340984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":310636,"type":{"id":15,"text":"Index Page"},"url":"https://baylandsgoals.org/case-studies/"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.29406738281249,\n              36.86204269508728\n            ],\n            [\n              -120.8551025390625,\n              36.86204269508728\n            ],\n            [\n              -120.8551025390625,\n              38.44498466889473\n            ],\n            [\n              -123.29406738281249,\n              38.44498466889473\n            ],\n            [\n              -123.29406738281249,\n              36.86204269508728\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5912d53ae4b0e541a03d452f","contributors":{"authors":[{"text":"Yarris, Gregory S.","contributorId":115361,"corporation":false,"usgs":true,"family":"Yarris","given":"Gregory S.","affiliations":[],"preferred":false,"id":578354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":578353,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70160323,"text":"ofr20151235 - 2015 - Development of flood regressions and climate change scenarios to explore estimates of future peak flows","interactions":[],"lastModifiedDate":"2016-01-04T08:21:37","indexId":"ofr20151235","displayToPublicDate":"2015-12-30T14:00:00","publicationYear":"2015","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":"2015-1235","title":"Development of flood regressions and climate change scenarios to explore estimates of future peak flows","docAbstract":"<p>A new Web-based application, titled &ldquo;Application of Flood Regressions and Climate Change Scenarios To Explore Estimates of Future Peak Flows&rdquo;, has been developed by the U.S. Geological Survey, in cooperation with the New York State Department of Transportation, that allows a user to apply a set of regression equations to estimate the magnitude of future floods for any stream or river in New York State (exclusive of Long Island) and the Lake Champlain Basin in Vermont. The regression equations that are the basis of the current application were developed in previous investigations by the U.S. Geological Survey (USGS) and are described at the USGS StreamStats Web sites for New York (<a href=\"http://water.usgs.gov/osw/streamstats/new_york.html\">http://water.usgs.gov/osw/streamstats/new_york.html</a>) and Vermont (<a href=\"http://water.usgs.gov/osw/streamstats/Vermont.html\">http://water.usgs.gov/osw/streamstats/Vermont.html</a>). These regression equations include several fixed landscape metrics that quantify aspects of watershed geomorphology, basin size, and land cover as well as a climate variable&mdash;either annual precipitation or annual runoff.</p>\n<p>The application uses predictions of future annual precipitation from five climate models and two future greenhouse gas emissions scenarios and provides results that are averaged over three future periods&mdash;2025 to 2049, 2050 to 2074, and 2075 to 2099. Results are presented in ensemble form as the mean, median, maximum, and minimum values among the five climate models for each greenhouse gas emissions scenario and period. These predictions of future annual precipitation are substituted into either the precipitation variable or a water balance equation for runoff to calculate potential future peak flows. This application is intended to be used only as an exploratory tool because (1) the regression equations on which the application is based have not been adequately tested outside the range of the current climate and (2) forecasting future precipitation with climate models and downscaling these results to a fine spatial resolution have a high degree of uncertainty. This report includes a discussion of the assumptions, uncertainties, and appropriate use of this exploratory application.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151235","collaboration":"Prepared in cooperation with the New York State Department of Transportation","usgsCitation":"Burns, D.A., Smith, M.J., and Freehafer, D.A., 2015, Development of flood regressions and climate change scenarios to explore estimates of future peak flows: U.S. Geological Survey Open-File Report 2015–1235, 11 p., https://dx.doi.org/10.3133/ofr20151235.","productDescription":"iii, 11 p.","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-063239","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":313159,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1235/ofr20151235.pdf","text":"Report","size":"643 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1235"},{"id":313160,"rank":3,"type":{"id":4,"text":"Application Site"},"url":"https://dx.doi.org/10.5066/F7WS8R9S","text":"Application of Flood Regressions and Climate Change Scenarios to Explore Estimates of Future Peak Flows"},{"id":313161,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1235/index.html"},{"id":313157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1235/coverthb.jpg"}],"contact":"<p>Director, New York Water Science Center<br>U.S. Geological Survey<br> 425 Jordan Road<br> Troy, NY 12180-8349<br> Email: <a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">dc_ny@usgs.gov</a></p><p>Information requests:<br>(518) 285-5602 or visit our Web site at:<br><a href=\"http://ny.water.usgs.gov\" data-mce-href=\"http://ny.water.usgs.gov\">http://ny.water.usgs.gov</a><br></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>StreamStats Program</li><li>Climate Change Application</li><li>Assumptions</li><li>Limitations and Uncertainty</li><li>Check Basin in Current StreamStats Before Using Climate Change Application</li><li>Sources of Uncertainty</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2015-12-31","noUsgsAuthors":false,"publicationDate":"2015-12-31","publicationStatus":"PW","scienceBaseUri":"56865fbfe4b0e7594ee74cbb","contributors":{"authors":[{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Martyn J. 0000-0002-1107-9653 marsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1107-9653","contributorId":4474,"corporation":false,"usgs":true,"family":"Smith","given":"Martyn","email":"marsmith@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freehafer, Douglas A. dfreehaf@usgs.gov","contributorId":5181,"corporation":false,"usgs":true,"family":"Freehafer","given":"Douglas","email":"dfreehaf@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":584063,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70159866,"text":"sir20155172 - 2015 - Continuous slope-area discharge records in Maricopa County, Arizona, 2004–2012","interactions":[],"lastModifiedDate":"2016-05-26T16:15:30","indexId":"sir20155172","displayToPublicDate":"2015-12-29T14:30:00","publicationYear":"2015","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":"2015-5172","title":"Continuous slope-area discharge records in Maricopa County, Arizona, 2004–2012","docAbstract":"<p><span>Continuous slope-area (CSA) streamgages have been developed and implemented by the U.S. Geological Survey (USGS) to enable the recording of discharge hydrographs in areas where direct discharge measurements cannot be made. The flashy nature of streamflow in parts of the arid Southwest and remote location of many sites make discharge measurements difficult or impossible to obtain. Consequently, available discharge measurements may be insufficient to develop accurate rating curves, which relate discharge to continuously recorded stage measured at standard streamgages. Nine CSA streamgages have been installed in Maricopa County, Arizona, since 2004 in cooperation with the Flood Control District of Maricopa County. This report presents the data and analysis of computed discharges from those streamgages, along with descriptions of the streamgage site and stream properties.</span></p>\n<p><span>Analyses of sources of errors and the impact stage data errors have on calculated discharge time series are considered, along with issues in data reduction. Steeper, longer stream reaches are generally less sensitive to measurement error. Other issues considered are pressure transducer drawdown, capture of flood peaks with discrete stage data, selection of stage record for development of rating curves, and minimum stages for the calculation of discharge.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155172","collaboration":"Prepared in cooperation with the Flood Control District of Maricopa County","usgsCitation":"Wiele, S.M., Heaton, J.W., Bunch, C.E., Gardner, D.E., and Smith, C.F., 2015, Continuous slope-area discharge records in Maricopa County, Arizona, 2004–2012: U.S. Geological Survey Scientific Investigations Report 2015–5172, 28 p., https://dx.doi.org/10.3133/sir20155172.","productDescription":"vii, 28 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-046154","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":321784,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5172/sir20155172_appendixes1-9.zip","text":"Appendixes 1-9","size":"967 KB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5172 Appendixes 1-9"},{"id":311902,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5172/coverthb.jpg"},{"id":311903,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5172/sir20155172.pdf","text":"Report","size":"19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5172"}],"country":"United States","state":"Arizona","county":"Maricopa County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.79638671875,\n              32.96258644191747\n            ],\n            [\n              -113.79638671875,\n              34.32529192442733\n            ],\n            [\n              -111.5716552734375,\n              34.32529192442733\n            ],\n            [\n              -111.5716552734375,\n              32.96258644191747\n            ],\n            [\n              -113.79638671875,\n              32.96258644191747\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_az@usgs.gov\">Director</a>, Arizona Water Science Center<br /> U.S. Geological Survey<br /> 520 N. Park Avenue<br /> Tucson, AZ 85719<br /> <a href=\"http://az.water.usgs.gov/\">http://az.water.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Acknowledgments</li>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>The Continuous Slope-Area Method for Computing Discharge</li>\n<li>Error Sources and Data Reduction Considerations</li>\n<li>Continuous Slope-Area Streamgages in Maricopa County</li>\n<li>References Cited</li>\n</ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2015-12-29","noUsgsAuthors":false,"publicationDate":"2015-12-29","publicationStatus":"PW","scienceBaseUri":"5683aeafe4b0a04ef4925e3c","contributors":{"authors":[{"text":"Wiele, Stephen M. smwiele@usgs.gov","contributorId":2199,"corporation":false,"usgs":true,"family":"Wiele","given":"Stephen","email":"smwiele@usgs.gov","middleInitial":"M.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heaton, John W.","contributorId":42705,"corporation":false,"usgs":true,"family":"Heaton","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":581139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunch, Claire E. 0000-0002-1360-8598 cebunch@usgs.gov","orcid":"https://orcid.org/0000-0002-1360-8598","contributorId":150240,"corporation":false,"usgs":true,"family":"Bunch","given":"Claire E.","email":"cebunch@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":581140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, David E.","contributorId":150241,"corporation":false,"usgs":true,"family":"Gardner","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":581141,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Christopher F. 0000-0002-8075-4763 cfsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":1338,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cfsmith@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":581142,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70157561,"text":"70157561 - 2015 - A laboratory investigation of the suspension, transport, and settling of silver carp eggs using synthetic surrogates","interactions":[],"lastModifiedDate":"2016-01-06T11:57:40","indexId":"70157561","displayToPublicDate":"2015-12-29T13:00:00","publicationYear":"2015","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":"A laboratory investigation of the suspension, transport, and settling of silver carp eggs using synthetic surrogates","docAbstract":"<p>Asian carp eggs are semi-buoyant and must remain suspended in the water to survive, supported by the turbulence of the flow, until they hatch and develop the ability to swim. Analysis of the transport and dispersal patterns of Asian carp eggs will facilitate the development and implementation of control strategies to target the early life stages. Experimenting with Asian carp eggs is complicated due to practical issues of obtaining eggs in close proximity to experimental facilities and extensive handling of eggs tends to damage them. Herein, we describe laboratory experiments using styrene beads (4.85 mm diameter) as synthetic surrogate eggs to mimic the physical properties of water-hardened silver carp eggs. The first set of experiments was completed in a rectangular vertical column filled with salt water. The salinity of the water was adjusted in an iterative fashion to obtain a close approximation of the fall velocity of the styrene beads to the mean fall velocity of silver carp water-hardened eggs. The terminal fall velocity of synthetic eggs was measured using an image processing method. The second set of experiments was performed in a temperature-controlled recirculatory flume with a sediment bed. The flume was filled with salt water, and synthetic eggs were allowed to drift under different flow conditions. Drifting behavior, suspension conditions, and settling characteristics of synthetic eggs were observed. At high velocities, eggs were suspended and distributed through the water column. Eggs that touched the sediment bed were re-entrained by the flow. Eggs saltated when they touched the bed, especially at moderate velocities and with a relatively flat bed. At lower velocities, some settling of the eggs was observed. With lower velocities and a flat bed, eggs were trapped near the walls of the flume. When bedforms were present, eggs were trapped in the lee of the bedforms in addition to being trapped near the flume walls. Results of this research study provide insights about transport, suspension, and dispersion of silver carp eggs. The knowledge gained from this study is useful to characterize the critical hydrodynamic conditions of the flow at which surrogates for silver carp water-hardened eggs settle out of suspension, and provides insight into how eggs may interact with riverbed sediments and morphology.</p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco","doi":"10.1371/journal.pone.0145775","collaboration":"Great Lakes Restoration Initiative \nUniversity of Illinois","usgsCitation":"Garcia, T., Zuniga Zamalloa, C., Jackson, P., Murphy, E., and Garcia, M., 2015, A laboratory investigation of the suspension, transport, and settling of silver carp eggs using synthetic surrogates: PLoS ONE, p. 1-19, https://doi.org/10.1371/journal.pone.0145775.","productDescription":"19 p.","startPage":"1","endPage":"19","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064982","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":471554,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0145775","text":"Publisher Index Page"},{"id":313936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-29","publicationStatus":"PW","scienceBaseUri":"568e48cee4b0e7a44bc41839","contributors":{"authors":[{"text":"Garcia, Tatiana 0000-0002-1979-7246 tgarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-1979-7246","contributorId":140327,"corporation":false,"usgs":true,"family":"Garcia","given":"Tatiana","email":"tgarcia@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":573635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zuniga Zamalloa, Carlo","contributorId":148037,"corporation":false,"usgs":false,"family":"Zuniga Zamalloa","given":"Carlo","email":"","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":573636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, P. Ryan pjackson@usgs.gov","contributorId":2960,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","email":"pjackson@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":573637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Elizabeth A. emurphy@usgs.gov","contributorId":140328,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","email":"emurphy@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":573638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":573639,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70159829,"text":"sir20155173 - 2015 - Preliminary assessment of aggradation potential in the North Fork Stillaguamish River downstream of the State Route 530 landslide near Oso, Washington","interactions":[],"lastModifiedDate":"2016-01-04T18:19:31","indexId":"sir20155173","displayToPublicDate":"2015-12-28T16:00:00","publicationYear":"2015","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":"2015-5173","title":"Preliminary assessment of aggradation potential in the North Fork Stillaguamish River downstream of the State Route 530 landslide near Oso, Washington","docAbstract":"<p>On March 22, 2014, the State Route 530 Landslide near Oso, Washington, traveled almost 2 kilometers (km), destroyed more than 40 structures, and impounded the North Fork Stillaguamish River to a depth of 8 meters (m) and volume of 3.3&times;10<sup>6</sup> cubic meters (m<sup>3</sup>). The landslide killed 43 people. After overtopping and establishing a new channel through the landslide, the river incised into the landslide deposit over the course of 10 weeks draining the impoundment lake and mobilizing an estimated 280,000&plusmn;56,000 m<sup>3</sup> of predominantly sand-sized and finer sediment. During the first 4 weeks after the landslide, this eroded sediment caused downstream riverbed aggradation of 1&ndash;2 m within 1 km of the landslide and 0.4 m aggradation at Whitman Road Bridge, 3.5 km downstream. Winter high flows in 2014&ndash;15 were anticipated to mobilize an additional 220,000&plusmn;44,000 m<sup>3</sup> of sediment, potentially causing additional aggradation and exacerbating flood risk downstream of the landslide. Analysis of unit stream power and bed-material transport capacity along 35 km of the river corridor indicated that most fine-grained sediment will transport out of the North Fork Stillaguamish River, although some localized additional aggradation was possible. This new aggradation was not likely to exceed 0.1 m except in reaches within a few kilometers downstream of the landslide, where additional aggradation of up to 0.5 m is possible. Alternative river response scenarios, including continued mass wasting from the landslide scarp, major channel migration or avulsion, or the formation of large downstream wood jams, although unlikely, could result in reaches of significant local aggradation or channel change.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155173","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency and Snohomish County Department of Public Works","usgsCitation":"Magirl, C.S., Keith, M.K., Anderson, S.W., O’Connor, J.E., Aldrich, Robert, and Mastin, M.C., 2015, Preliminary assessment of aggradation potential in the North Fork Stillaguamish River downstream of the State Route 530 landslide near Oso, Washington: U.S. Geological Survey Scientific Investigations Report 2015–5173, 20 p., https://dx.doi.org/10.3133/sir20155173.","productDescription":"v, 20 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-060502","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":312938,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5173/sir20155173.pdf","text":"Report","size":"1.3 MB","description":"SIR 2015-5173 Report PDF"},{"id":312937,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5173/cover.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"North Fork Stillaguamish River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.5,\n              48.5\n            ],\n            [\n              -122.5,\n              48\n            ],\n            [\n              -121.5,\n              48\n            ],\n            [\n              -121.5,\n              48.5\n            ],\n            [\n              -122.5,\n              48.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_wa@usgs.gov\" data-mce-href=\"mailto:dc_wa@usgs.gov\">Director</a>, Washington Water Science Center<br>U.S. Geological Survey<br>934 Broadway, Suite 300<br>Tacoma, Washington 98402<br><a href=\"http://wa.water.usgs.gov\" data-mce-href=\"http://wa.water.usgs.gov\">http://wa.water.usgs.gov</a><br></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Methods to Determine Aggradation Potential</li>\n<li>Sediment Erosion Volumes</li>\n<li>Downstream Aggradation Potential</li>\n<li>Additional Flood Risk Issues</li>\n<li>Conclusions</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n</ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2015-12-28","noUsgsAuthors":false,"publicationDate":"2015-12-28","publicationStatus":"PW","scienceBaseUri":"56825d29e4b0a04ef4925afb","contributors":{"authors":[{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keith, Mackenzie K. mkeith@usgs.gov","contributorId":4140,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie K.","email":"mkeith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":580631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Scott W. 0000-0003-1678-5204 swanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1678-5204","contributorId":107001,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott","email":"swanderson@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":580632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Connor, Jim oconnor@usgs.gov","contributorId":2350,"corporation":false,"usgs":true,"family":"O’Connor","given":"Jim","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":580633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aldrich, Robert","contributorId":150074,"corporation":false,"usgs":false,"family":"Aldrich","given":"Robert","email":"","affiliations":[{"id":17900,"text":"Snohomish County Public Works","active":true,"usgs":false}],"preferred":false,"id":580634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580635,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70160658,"text":"70160658 - 2015 - Isotopes in North American Rocky Mountain snowpack 1993–2014","interactions":[],"lastModifiedDate":"2015-12-28T14:52:05","indexId":"70160658","displayToPublicDate":"2015-12-28T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Isotopes in North American Rocky Mountain snowpack 1993–2014","docAbstract":"<p class=\"p1\"><span class=\"s1\">We present &sim;1300 new isotopic measurements (&delta;</span><span class=\"s2\"><sup>18</sup></span><span class=\"s1\">O and &delta;</span><span class=\"s2\"><sup>2</sup></span><span class=\"s1\">H) from a network of snowpack sites in the Rocky Mountains that have been sampled since 1993. The network includes 177 locations where depth-integrated snow samples are collected each spring near peak accumulation. At 57 of these locations snowpack samples were obtained for 10&ndash;21 years and their isotopic measurements provide unprecedented spatial and temporal documentation of snowpack isotope values at mid-latitudes. For environments where snowfall accounts for the majority of annual precipitation, snowmelt is likely to have the strongest influence on isotope values retained in proxy archives. In this first presentation of the dataset we (1) describe the basic features of the isotope values in relation to the Global Meteoric Water Line (GMWL), (2) evaluate space for time substitutions traditionally used to establish &delta;</span><span class=\"s2\"><sup>18</sup></span><span class=\"s1\">O-temperature relations, (3) evaluate site-to-site similarities across the network and identify those that are the most regionally representative, (4) examine atmospheric circulation patterns for several years with spatially coherent isotope patterns, and (5) provide examples of the implications this new dataset has for interpreting paleoclimate records (Bison Lake, Colorado and Minnetonka Cave, Idaho). Results indicate that snowpack &delta;</span><span class=\"s2\"><sup>18</sup></span><span class=\"s1\">O is rarely a simple proxy of temperature. Instead, it exhibits a high degree of spatial heterogeneity and temporal variance that reflect additional processes such as vapor transport and post-depositional modification. Despite these complexities we identify consistent climate-isotope patterns and regionally representative locations that serve to better define Holocene hydroclimate estimates and their uncertainty. Climate change has and will affect western U.S. snowpack and we suggest these changes can be better understood and anticipated by oxygen and hydrogen isotope-based reconstructions of Holocene hydroclimate using a process-based understanding of the controls on snowpack isotope ratios.</span></p>","language":"English","publisher":"Elseiver Ltd.","doi":"10.1016/j.quascirev.2015.03.023","usgsCitation":"Anderson, L., Berkelhammer, M., and Mast, M.A., 2015, Isotopes in North American Rocky Mountain snowpack 1993–2014: Quaternary Science Reviews, v. 131, p. 262-273, https://doi.org/10.1016/j.quascirev.2015.03.023.","productDescription":"12 p.","startPage":"262","endPage":"273","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061199","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":312939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Idaho, Montana, New Mexico, Wyoming","otherGeospatial":"Bison Lake, Minnetonka Cave, Rocky Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.8515625,\n              49.03786794532644\n            ],\n            [\n              -111.796875,\n              47.96050238891509\n            ],\n            [\n              -110.830078125,\n              46.86019101567027\n            ],\n            [\n              -109.51171875,\n              46.437856895024204\n            ],\n            [\n              -108.5009765625,\n              45.583289756006316\n            ],\n            [\n              -108.06152343749999,\n              43.83452678223682\n            ],\n            [\n              -107.0068359375,\n              42.293564192170095\n            ],\n            [\n              -104.9853515625,\n              41.07935114946899\n            ],\n            [\n              -103.88671875,\n              38.06539235133249\n            ],\n            [\n              -104.32617187499999,\n              35.88905007936091\n            ],\n            [\n              -105.29296874999999,\n              34.161818161230386\n            ],\n            [\n              -107.70996093749999,\n              34.161818161230386\n            ],\n            [\n              -110.302734375,\n              35.53222622770337\n            ],\n            [\n              -112.8955078125,\n              41.27780646738183\n            ],\n            [\n              -116.806640625,\n              43.51668853502909\n            ],\n            [\n              -117.90527343750001,\n              46.49839225859763\n            ],\n            [\n              -118.125,\n              48.922499263758255\n            ],\n            [\n              -117.90527343750001,\n              49.095452162534826\n            ],\n            [\n              -112.8515625,\n              49.03786794532644\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"131","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56825d29e4b0a04ef4925af5","contributors":{"authors":[{"text":"Anderson, Lesleigh 0000-0002-5264-089X land@usgs.gov","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":436,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","email":"land@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":583487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berkelhammer, Max ","contributorId":150891,"corporation":false,"usgs":false,"family":"Berkelhammer","given":"Max ","affiliations":[{"id":18133,"text":"University of Illinois Chicago","active":true,"usgs":false}],"preferred":false,"id":583488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mast, M. 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,{"id":70168444,"text":"70168444 - 2015 - Rapid and highly variable warming of lake surface waters around the globe","interactions":[],"lastModifiedDate":"2018-02-21T15:10:17","indexId":"70168444","displayToPublicDate":"2015-12-28T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Rapid and highly variable warming of lake surface waters around the globe","docAbstract":"<p>In this first worldwide synthesis of in situ and satellite-derived lake data, we find that lake summer surface water temperatures rose rapidly (global mean&thinsp;=&thinsp;0.34&deg;C decade<sup>&minus;1</sup>) between 1985 and 2009. Our analyses show that surface water warming rates are dependent on combinations of climate and local characteristics, rather than just lake location, leading to the counterintuitive result that regional consistency in lake warming is the exception, rather than the rule. The most rapidly warming lakes are widely geographically distributed, and their warming is associated with interactions among different climatic factors&mdash;from seasonally ice-covered lakes in areas where temperature and solar radiation are increasing while cloud cover is diminishing (0.72&deg;C decade<sup>&minus;1</sup>) to ice-free lakes experiencing increases in air temperature and solar radiation (0.53&deg;C decade<sup>&minus;1</sup>). The pervasive and rapid warming observed here signals the urgent need to incorporate climate impacts into vulnerability assessments and adaptation efforts for lakes.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington","doi":"10.1002/2015GL066235","usgsCitation":"O’Reilly, C.M., Sharma, S., Gray, D., Hampton, S., Read, J.S., Rowley, R.J., Schneider, P., Lenters, J.D., McIntyre, P.B., Kraemer, B.M., Weyhenmeyer, G.A., Straile, D., Dong, B., Adrian, R., Allan, M.G., Anneville, O., Arvola, L., Austin, J., Bailey, J.L., Baron, J., Brookes, J.D., de Eyto, E., Dokulil, M.T., Hamilton, D., Havens, K., Hetherington, A.L., Higgins, S.N., Hook, S., Izmest’eva, L.R., Johnk, K.D., Kangur, K., Kasprzak, P., Kumagai, M., Kuusisto, E., Leshkevich, G., Livingstone, D.M., MacIntyre, S., May, L., Melack, J., Mueller-Navara, D.C., Naumenko, M., Noges, P., Noges, T., North, R.P., Plisnier, P., Rigosi, A., Rimmer, A., Rogora, M., Rudstam, L.G., Rusak, J.A., Salmaso, N., Samal, N.R., Schindler, D.E., Schladow, G., Schmid, M., Schmidt, S.R., Silow, E.A., Soylu, M.E., Teubner, K., Verburg, P., Voutilainen, A., Watkinson, A., Williamson, C.E., and Zhang, G., 2015, Rapid and highly variable warming of lake surface waters around the globe: Geophysical Research Letters, v. 42, no. 24, p. 10773-10781, https://doi.org/10.1002/2015GL066235.","productDescription":"9 p.","startPage":"10773","endPage":"10781","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064490","costCenters":[],"links":[{"id":471555,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://hdl.handle.net/10449/33450","text":"Publisher Index Page"},{"id":318021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Global","volume":"42","issue":"24","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-16","publicationStatus":"PW","scienceBaseUri":"56c304d2e4b0946c652087c8","contributors":{"authors":[{"text":"O’Reilly, Catherine M.","contributorId":150334,"corporation":false,"usgs":false,"family":"O’Reilly","given":"Catherine","email":"","middleInitial":"M.","affiliations":[{"id":18004,"text":"Illinois State University","active":true,"usgs":false}],"preferred":false,"id":620164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharma, Sapna","contributorId":150332,"corporation":false,"usgs":false,"family":"Sharma","given":"Sapna","email":"","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":620165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Derek","contributorId":150333,"corporation":false,"usgs":false,"family":"Gray","given":"Derek","email":"","affiliations":[{"id":18003,"text":"California University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":620166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hampton, Stephanie","contributorId":150338,"corporation":false,"usgs":false,"family":"Hampton","given":"Stephanie","affiliations":[{"id":5127,"text":"Washington State University, P.O. 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,{"id":70164512,"text":"70164512 - 2015 - Do geographically isolated wetlands influence landscape functions?","interactions":[],"lastModifiedDate":"2016-07-11T15:37:29","indexId":"70164512","displayToPublicDate":"2015-12-28T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Do geographically isolated wetlands influence landscape functions?","docAbstract":"<p><span>Geographically isolated wetlands (GIWs), those surrounded by uplands, exchange materials, energy, and organisms with other elements in hydrological and habitat networks, contributing to landscape functions, such as flow generation, nutrient and sediment retention, and biodiversity support. GIWs constitute most of the wetlands in many North American landscapes, provide a disproportionately large fraction of wetland edges where many functions are enhanced, and form complexes with other water bodies to create spatial and temporal heterogeneity in the timing, flow paths, and magnitude of network connectivity. These attributes signal a critical role for GIWs in sustaining a portfolio of landscape functions, but legal protections remain weak despite preferential loss from many landscapes. GIWs lack persistent surface water connections, but this condition does not imply the absence of hydrological, biogeochemical, and biological exchanges with nearby and downstream waters. Although hydrological and biogeochemical connectivity is often episodic or slow (e.g., via groundwater), hydrologic continuity and limited evaporative solute enrichment suggest both flow generation and solute and sediment retention. Similarly, whereas biological connectivity usually requires overland dispersal, numerous organisms, including many rare or threatened species, use both GIWs and downstream waters at different times or life stages, suggesting that GIWs are critical elements of landscape habitat mosaics. Indeed, weaker hydrologic connectivity with downstream waters and constrained biological connectivity with other landscape elements are precisely what enhances some GIW functions and enables others. Based on analysis of wetland geography and synthesis of wetland functions, we argue that sustaining landscape functions requires conserving the entire continuum of wetland connectivity, including GIWs.</span></p>","language":"English","publisher":"Proceedings of the National Academy of Sciences","doi":"10.1073/pnas.1512650113","usgsCitation":"Cohen, M.J., Creed, I., Alexander, L., Basu, N., Calhoun, A.J., Craft, C., D’Amico, E., DeKeyser, E., Fowler, L., Golden, H., Jawitz, J.W., Kalla, P., Kirkman, L.K., Lane, C., Lang, M., Leibowitz, S.G., Lewis, D., Marton, J., McLaughlin, D.L., Mushet, D.M., Raanan-Kiperwas, H., Rains, M.C., Smith, L., and Walls, S.C., 2015, Do geographically isolated wetlands influence landscape functions?: Proceedings of the National Academy of Sciences of the United States of America, no. 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,{"id":70159764,"text":"ofr20151223 - 2015 - Water-quality, bed-sediment, and biological data (October 2013 through September 2014) and statistical summaries of data for streams in the Clark Fork Basin, Montana","interactions":[],"lastModifiedDate":"2015-12-28T10:21:29","indexId":"ofr20151223","displayToPublicDate":"2015-12-24T10:00:00","publicationYear":"2015","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":"2015-1223","title":"Water-quality, bed-sediment, and biological data (October 2013 through September 2014) and statistical summaries of data for streams in the Clark Fork Basin, Montana","docAbstract":"<p>Water, bed sediment, and biota were sampled in streams from Butte to near Missoula, Montana, as part of a monitoring program in the upper Clark Fork Basin of western Montana. The sampling program was led by the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, to characterize aquatic resources in the Clark Fork Basin, with emphasis on trace elements associated with historic mining and smelting activities. Sampling sites were located on the Clark Fork and selected tributaries. Water samples were collected periodically at 20 sites from October 2013 through September 2014. Bed-sediment and biota samples were collected once at 14 sites during August 2014.</p>\n<p>This report presents the analytical results and qualityassurance data for water-quality, bed-sediment, and biota samples collected at sites from October 2013 through September 2014. Water-quality data include concentrations of selected major ions, trace elements, and suspended sediment. At 12 sites, dissolved organic carbon and turbidity samples were collected. In addition, nitrogen (nitrate plus nitrite) samples were collected at two sites. Daily values of mean suspended-sediment concentration and suspended-sediment discharge were determined for four sites. Seasonal daily values of turbidity were determined for four sites. Bed-sediment data include trace-ele&shy;ment concentrations in the fine-grained fraction. Biological data include trace-element concentrations in wholebody tissue of aquatic benthic insects. Statistical summaries of water-quality, bed-sediment, and biological data for sites in the upper Clark Fork Basin are provided for the period of record.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151223","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Dodge, K.A., and Hornberger, M.I., 2015, Water-quality, bed-sediment, and biological data (October 2013 through September\n2014) and statistical summaries of data for streams in the Clark Fork Basin, Montana: U.S. Geological Survey Open-File Report 2015–1223, 125 p., https://dx.doi.org/10.3133/ofr20151223.","productDescription":"vi, 125 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068852","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":312826,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1223/ofr20151223.pdf","text":"Report","size":"2.04 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1223"},{"id":312825,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1223/coverthb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Clark Fork Basin, Silver Bow Creek, Warm Springs Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.0655517578125,\n              46.97275640318636\n            ],\n            [\n              -113.0712890625,\n              46.81133924039194\n            ],\n            [\n              -112.30224609374999,\n              46.3810438458062\n            ],\n            [\n              -112.0550537109375,\n              46.02366774426006\n            ],\n            [\n              -111.91223144531249,\n              45.75602615586017\n            ],\n            [\n              -111.917724609375,\n              45.3868773482704\n            ],\n            [\n              -112.071533203125,\n              45.182036837015886\n            ],\n            [\n              -113.4283447265625,\n              45.90147732739488\n            ],\n            [\n              -114.2962646484375,\n              46.543749602738565\n            ],\n            [\n              -114.32922363281249,\n              46.991494313050424\n            ],\n            [\n              -114.0655517578125,\n              46.97275640318636\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Wyoming-Montana Water Science Center<br /> U.S. Geological Survey<br /> 3162 Bozeman Ave.<br /> Helena, MT 59601<br /><a href=\"http://wy-mt.water.usgs.gov/\">http://wy-mt.water.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Sampling Locations and Types of Data</li>\n<li>Water-Quality Data</li>\n<li>Bed-Sediment Data</li>\n<li>Biological Data</li>\n<li>Statistical Summaries of Data</li>\n<li>References Cited</li>\n<li>Data</li>\n</ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2015-12-24","noUsgsAuthors":false,"publicationDate":"2015-12-24","publicationStatus":"PW","scienceBaseUri":"567d1731e4b0a04ef492088c","contributors":{"authors":[{"text":"Dodge, Kent A. kdodge@usgs.gov","contributorId":1036,"corporation":false,"usgs":true,"family":"Dodge","given":"Kent","email":"kdodge@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hornberger, Michelle I. 0000-0002-7787-3446 mhornber@usgs.gov","orcid":"https://orcid.org/0000-0002-7787-3446","contributorId":1037,"corporation":false,"usgs":true,"family":"Hornberger","given":"Michelle","email":"mhornber@usgs.gov","middleInitial":"I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":580370,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70159875,"text":"sir20155170 - 2015 - Methods for estimating flow-duration curve and low-flow frequency statistics for ungaged locations on small streams in Minnesota","interactions":[],"lastModifiedDate":"2015-12-28T12:10:56","indexId":"sir20155170","displayToPublicDate":"2015-12-24T09:00:00","publicationYear":"2015","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":"2015-5170","title":"Methods for estimating flow-duration curve and low-flow frequency statistics for ungaged locations on small streams in Minnesota","docAbstract":"<p>Knowledge of the magnitude and frequency of low flows in streams, which are flows in a stream during prolonged dry weather, is fundamental for water-supply planning and design; waste-load allocation; reservoir storage design; and maintenance of water quality and quantity for irrigation, recreation, and wildlife conservation. This report presents the results of a statewide study for which regional regression equations were developed for estimating 13 flow-duration curve statistics and 10 low-flow frequency statistics at ungaged stream locations in Minnesota. The 13 flow-duration curve statistics estimated by regression equations include the 0.0001, 0.001, 0.02, 0.05, 0.1, 0.25, 0.50, 0.75, 0.9, 0.95, 0.99, 0.999, and 0.9999 exceedance-probability quantiles. The low-flow frequency statistics include annual and seasonal (spring, summer, fall, winter) 7-day mean low flows, seasonal 30-day mean low flows, and summer 122-day mean low flows for a recurrence interval of 10 years. Estimates of the 13 flow-duration curve statistics and the 10 low-flow frequency statistics are provided for 196 U.S. Geological Survey continuous-record streamgages using streamflow data collected through September 30, 2012.</p>\n<p>The study area includes 196 streamgages located within Minnesota and 50 miles beyond the State&rsquo;s borders in North Dakota, South Dakota, Iowa, and Wisconsin. The study area was divided into five regions that were developed in a previous study using the concept of hydrologic landscape units. Geographic information system software was used to calculate 18 characteristics investigated as potential explanatory variables in regression analyses for each streamgage drainage basin. Trend analyses indicated statistically significant trends in summer 7-day low flows that were not related to precipitation patterns for 19 streamgages. For 16 of these streamgages, the streamflow record was subset using structural change analysis to identify the most recent period of record without a significant trend. The three remaining streamgages with significant trends were excluded from the final analysis because the effective period of record without a significant trend was less than 10 years.</p>\n<p>Because several streams in this study have zero flow as their minimum reported flow, weighted left-censored regression was used to analyze the flow data in an unbiased manner, with weights based on the number of years of record. A total of 115 regression equations were developed in this study to calculate flow-duration curve and low-flow frequency statistics for ungaged locations in the study area. In addition, data from 25 pairs of streamgages were used to develop drainage-area ratio equations that can be used to estimate streamflow statistics at ungaged locations on streams that have a streamgage in another location. Streamflow statistics estimated using regional regression and drainage-area ratio equations were compared among regions. For regions A, D, and E, drainagearea ratio equations were more accurate than regional regression equations for flows, but regional regression equations were more accurate for high flows. For region F, regional regression equations were consistently more accurate than drainage-area ratio equations. For region BC, the pattern in accuracies of regional regression and drainage-area ratio equations between low flows and high flows was not consistent.</p>\n<p>Equations developed in this study apply only to stream locations where flows are not substantially affected by regulation, diversion, or urbanization. All equations presented in this study will be incorporated into StreamStats, a web-based geographic information system tool developed by the U.S. Geological Survey. StreamStats allows users to obtain streamflow statistics, basin characteristics, and other information for user-selected locations on streams through an interactive map.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155170","collaboration":"Prepared in cooperation with the Minnesota Pollution Control Agency","usgsCitation":"Ziegeweid, J.R., Lorenz, D.L., Sanocki, C.A., and Czuba, C.R., 2015, Methods for estimating flow-duration curve and\nlow-flow frequency statistics for ungaged locations on small streams in Minnesota: U.S. Geological Survey Scientific\nInvestigations Report 2015–5170, 23 p., https://dx.doi.org/10.3133/sir20155170.","productDescription":"Report: vi, 23 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-046283","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":312848,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5170/coverthb.jpg"},{"id":312849,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5170/sir20155170.pdf","text":"Report","size":"2.13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5170"},{"id":312850,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5170/downloads/sir20155170_table1-1.xlsx","text":"Table 1-1","size":"89.1 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5170 Appendix 1"}],"country":"United States","state":"Iowa, Minnesota, North Dakota, South Dakota, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              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href=\"http://mn.water.usgs.gov/\">http://mn.water.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Methods for Data Development</li>\n<li>Regional Regression Analysis</li>\n<li>Drainage-Area Ratio Calculations</li>\n<li>Limitations of Regression Equations</li>\n<li>Constructing Consistent Flow-Duration Curves</li>\n<li>StreamStats</li>\n<li>Summary</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n<li>Appendix 1. Detailed Streamgage Information Used to Conduct Analyses</li>\n</ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2015-12-24","noUsgsAuthors":false,"publicationDate":"2015-12-24","publicationStatus":"PW","scienceBaseUri":"567d1731e4b0a04ef492088a","contributors":{"authors":[{"text":"Ziegeweid, Jeffrey R. 0000-0001-7797-3044 jrziege@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-3044","contributorId":4166,"corporation":false,"usgs":true,"family":"Ziegeweid","given":"Jeffrey","email":"jrziege@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, David L. 0000-0003-3392-4034 lorenz@usgs.gov","orcid":"https://orcid.org/0000-0003-3392-4034","contributorId":1384,"corporation":false,"usgs":true,"family":"Lorenz","given":"David","email":"lorenz@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanocki, Christopher A. 0000-0001-6714-5421 sanocki@usgs.gov","orcid":"https://orcid.org/0000-0001-6714-5421","contributorId":3142,"corporation":false,"usgs":true,"family":"Sanocki","given":"Christopher","email":"sanocki@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580852,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":580850,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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