The use of diurnal water-table fluctuation methods to calculate evapotranspiration (ET) and groundwater flow is of increasing interest in ecohydrological studies. Most studies of this type, however, have been located in riparian wetlands of semi-arid regions where groundwater levels are consistently below topographic surface elevations and precipitation events are infrequent. Current methodologies preclude application to a wider variety of wetland systems. In this study, we extended a method for estimating sub-daily ET and groundwater flow rates from water-level fluctuations to fit highly dynamic, non-riparian wetland scenarios. Modifications included (1) varying the specific yield to account for periodic flooded conditions and (2) relating empirically derived ET to estimated potential ET for days when precipitation events masked the diurnal signal. To demonstrate the utility of this method, we estimated ET and groundwater fluxes over two growing seasons (2006–2007) in 15 wetlands within a ridge-and-swale wetland complex of the Laurentian Great Lakes under flooded and non-flooded conditions. Mean daily ET rates for the sites ranged from 4.0 mm d−1 to 6.6 mm d−1. Shallow groundwater discharge rates resulting from evaporative demand ranged from 2.5 mm d−1 to 4.3 mm d−1. This study helps to expand our understanding of the evapotranspirative demand of plants under various hydrologic and climate conditions.
","language":"English","publisher":"Wiley-Blackwell","publisherLocation":"Chilchester, UK","doi":"10.1002/eco.1356","usgsCitation":"Carlson Mazur, M.L., Michael J. Wiley, and Douglas A. Wilcox, 2015, Estimating evapotranspiration and groundwater flow from water-table fluctuations for a general wetland scenario: Ecohydrology, v. 7, no. 2, p. 378-390, https://doi.org/10.1002/eco.1356.","productDescription":"13 p.","startPage":"378","endPage":"390","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039002","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":472490,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2027.42/106891","text":"External Repository"},{"id":312789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.34537506103516,\n 44.84613295361055\n ],\n [\n -83.34537506103516,\n 44.862926272208234\n ],\n [\n -83.31516265869139,\n 44.862926272208234\n ],\n [\n -83.31516265869139,\n 44.84613295361055\n ],\n [\n -83.34537506103516,\n 44.84613295361055\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-07","publicationStatus":"PW","scienceBaseUri":"567bd3bbe4b0a04ef491a1f7","contributors":{"authors":[{"text":"Carlson Mazur, Martha L.","contributorId":95377,"corporation":false,"usgs":true,"family":"Carlson Mazur","given":"Martha","email":"","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michael J. Wiley","contributorId":150828,"corporation":false,"usgs":false,"family":"Michael J. Wiley","affiliations":[{"id":18114,"text":"Dept. of Natural Resources & Environment, University of Michigan","active":true,"usgs":false}],"preferred":false,"id":583177,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Douglas A. Wilcox","contributorId":150827,"corporation":false,"usgs":false,"family":"Douglas A. Wilcox","affiliations":[{"id":18113,"text":"Dept. of Environmental Science & Bio, SUNY-College, Brockport","active":true,"usgs":false}],"preferred":false,"id":583176,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70041580,"text":"70041580 - 2015 - Limnology of the Green Lakes Valley: Phytoplankton ecology and dissolved organic matter biogeochemistry at a long-term ecological research site","interactions":[],"lastModifiedDate":"2018-02-21T17:40:30","indexId":"70041580","displayToPublicDate":"2012-12-08T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3087,"text":"Plant Ecology and Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Limnology of the Green Lakes Valley: Phytoplankton ecology and dissolved organic matter biogeochemistry at a long-term ecological research site","docAbstract":"Background: Surface waters are the lowest points in the landscape, and therefore serve as excellent integrators and indicators of changes taking place in the surrounding terrestrial and atmospheric environment.
Aims: Here we synthesise the findings of limnological studies conducted during the past 15 years in streams and lakes in the Green Lakes Valley, which is part of the Niwot Ridge Long-term Ecological Research (LTER) Site.
Methods: The importance of these studies is discussed in the context of aquatic ecosystems as indicators, integrators, and regulators of environmental change. Specifically, investigations into climatic, hydrologic, and nutrient controls on present-day phytoplankton, and historical diatom, community composition in the alpine lake, Green Lake 4, are reviewed. In addition, studies of spatial and temporal patterns in dissolved organic matter (DOM) biogeochemistry and reactive transport modelling that have taken place in the Green Lakes Valley are highlighted.
Results and conclusions: The findings of these studies identify specific shifts in algal community composition and DOM biogeochemistry that are indicative of changing environmental conditions and provide a framework for detecting future environmental change in the Green Lakes Valley and in other alpine watersheds. Moreover, the studies summarised here demonstrate the importance of long-term monitoring programmes such as the LTER programme.
","language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/17550874.2012.738255","usgsCitation":"Miller, M.P., and McKnight, D.M., 2015, Limnology of the Green Lakes Valley: Phytoplankton ecology and dissolved organic matter biogeochemistry at a long-term ecological research site: Plant Ecology and Diversity, v. 8, no. 5-6, p. 689-702, https://doi.org/10.1080/17550874.2012.738255.","productDescription":"14 p.","startPage":"689","endPage":"702","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031288","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":263885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Boulder","otherGeospatial":"Green Lakes Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.301758,39.964069 ], [ -105.301758,40.094551 ], [ -105.178197,40.094551 ], [ -105.178197,39.964069 ], [ -105.301758,39.964069 ] ] ] } } ] }","volume":"8","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2012-12-03","publicationStatus":"PW","scienceBaseUri":"50c4618fe4b0e44331d07170","contributors":{"authors":[{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKnight, Diane M.","contributorId":59773,"corporation":false,"usgs":false,"family":"McKnight","given":"Diane","email":"","middleInitial":"M.","affiliations":[{"id":16833,"text":"INSTAAR, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":469940,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70147052,"text":"70147052 - 2015 - Hindcast of water availability in regional aquifer systems using MODFLOW Farm Process","interactions":[],"lastModifiedDate":"2017-06-12T10:37:13","indexId":"70147052","displayToPublicDate":"2008-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hindcast of water availability in regional aquifer systems using MODFLOW Farm Process","docAbstract":"Coupled groundwater and surface-water components of the hydrologic cycle can be simulated by the Farm Process for MODFLOW (MF-FMP) in both irrigated and non-irrigated areas and aquifer-storage and recovery systems. MF-FMP is being applied to three productive agricultural regions of different scale in the State of California, USA, to assess the availability of water and the impacts of alternative management decisions. Hindcast simulations are conducted for similar periods from the 1960s to near recent times. Historical groundwater pumpage is mostly unknown in one region (Central Valley) and is estimated by MF-FMP. In another region (Pajaro Valley), recorded pumpage is used to calibrate model-estimated pumpage. Multiple types of observations are used to estimate uncertain parameters, such as hydraulic, land-use, and farm properties. MF-FMP simulates how climate variability and water-import availability affect water demand and supply. MF-FMP can be used to predict water availability based on anticipated changes in anthropogenic or natural water demands.\r\nKeywords groundwater; surface-water; irrigation; water availability; response to climate variability/change","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Predictions for hydrology, ecology, and water resources management: Using data and models to benefit society","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"HydroPredict 2008","conferenceDate":"September 15–18, 2008","conferenceLocation":"Prague, Czech Republic","language":"English","publisher":" Czech Association of Hydrogeologists","usgsCitation":"Schmid, W., Hanson, R.T., Faunt, C., and Phillips, S.P., 2015, Hindcast of water availability in regional aquifer systems using MODFLOW Farm Process, in Predictions for hydrology, ecology, and water resources management: Using data and models to benefit society, Prague, Czech Republic, September 15–18, 2008, p. 311-314.","productDescription":"4 p.","startPage":"311","endPage":"314","ipdsId":"IP-006401","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":299883,"type":{"id":15,"text":"Index Page"},"url":"https://web.natur.cuni.cz/hydropredict2008/"},{"id":342369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593fa839e4b0764e6c62799d","contributors":{"authors":[{"text":"Schmid, Wolfgang","contributorId":140408,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":545603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":1491,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":545600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Steven P. 0000-0002-5107-868X sphillip@usgs.gov","orcid":"https://orcid.org/0000-0002-5107-868X","contributorId":1506,"corporation":false,"usgs":true,"family":"Phillips","given":"Steven","email":"sphillip@usgs.gov","middleInitial":"P.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545602,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156076,"text":"70156076 - 2015 - Forecasting the combined effects of urbanization and climate change on stream ecosystems: from impacts to management options","interactions":[],"lastModifiedDate":"2015-08-14T15:57:21","indexId":"70156076","displayToPublicDate":"2008-11-05T01:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting the combined effects of urbanization and climate change on stream ecosystems: from impacts to management options","docAbstract":"Streams collect runoff, heat, and sediment from their watersheds, making them highly vulnerable to anthropogenic disturbances such as urbanization and climate change. Forecasting the effects of these disturbances using process-based models is critical to identifying the form and magnitude of likely impacts. Here, we integrate a new biotic model with four previously developed physical models (downscaled climate projections, stream hydrology, geomorphology, and water temperature) to predict how stream fish growth and reproduction will most probably respond to shifts in climate and urbanization over the next several decades.
\nThe biotic submodel couples dynamics in fish populations and habitat suitability to predict fish assemblage composition, based on readily available biotic information (preferences for habitat, temperature, and food, and characteristics of spawning) and day-to-day variability in stream conditions.
\nWe illustrate the model using Piedmont headwater streams in the Chesapeake Bay watershed of the USA, projecting ten scenarios: Baseline (low urbanization; no on-going construction; and present-day climate); one Urbanization scenario (higher impervious surface, lower forest cover, significant construction activity); four future climate change scenarios [Hadley CM3 and Parallel Climate Models under medium-high (A2) and medium-low (B2) emissions scenarios]; and the same four climate change scenarios plus Urbanization.
\nUrbanization alone depressed growth or reproduction of 8 of 39 species, while climate change alone depressed 22 to 29 species. Almost every recreationally important species (i.e. trouts, basses, sunfishes) and six of the ten currently most common species were predicted to be significantly stressed. The combined effect of climate change and urbanization on adult growth was sometimes large compared to the effect of either stressor alone. Thus, the model predicts considerable change in fish assemblage composition, including loss of diversity.Synthesis and applications. The interaction of climate change and urban growth may entail significant reconfiguring of headwater streams, including a loss of ecosystem structure and services, which will be more costly than climate change alone. On local scales, stakeholders cannot control climate drivers but they can mitigate stream impacts via careful land use. Therefore, to conserve stream ecosystems, we recommend that proactive measures be taken to insure against species loss or severe population declines. Delays will inevitably exacerbate the impacts of both climate change and urbanization on headwater systems.
\n","language":"English","publisher":"British Ecological Society","doi":"10.1111/j.1365-2664.2008.01599.x","usgsCitation":"Nelson, K.C., Palmer, M., Pizzuto, J.E., Moglen, G.E., Angermeier, P.L., Hilderbrand, R.H., Dettinger, M., and Hayhoe, K., 2015, Forecasting the combined effects of urbanization and climate change on stream ecosystems: from impacts to management options: Journal of Applied Ecology, v. 46, no. 1, p. 154-163, https://doi.org/10.1111/j.1365-2664.2008.01599.x.","productDescription":"10 p.","startPage":"154","endPage":"163","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-008736","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2664.2008.01599.x","text":"Publisher Index Page"},{"id":306767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2009-01-14","publicationStatus":"PW","scienceBaseUri":"55cf112ae4b01487cbfc77b8","contributors":{"authors":[{"text":"Nelson, Karen C.","contributorId":32864,"corporation":false,"usgs":false,"family":"Nelson","given":"Karen","email":"","middleInitial":"C.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":568190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmer, Margaret A.","contributorId":102429,"corporation":false,"usgs":false,"family":"Palmer","given":"Margaret A.","affiliations":[{"id":13383,"text":"University of Maryland Center for Environmental Science, Chesapeake Biological Laboratory, 6 Solomons, Maryland 20688","active":true,"usgs":false}],"preferred":false,"id":568191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pizzuto, James E.","contributorId":49424,"corporation":false,"usgs":false,"family":"Pizzuto","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":13220,"text":"The Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":568192,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moglen, Glenn E.","contributorId":106585,"corporation":false,"usgs":false,"family":"Moglen","given":"Glenn","email":"","middleInitial":"E.","affiliations":[{"id":13220,"text":"The Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":568193,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angermeier, Paul L. biota@usgs.gov","contributorId":1432,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":613,"text":"Virginia Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":567828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hilderbrand, Robert H.","contributorId":140410,"corporation":false,"usgs":false,"family":"Hilderbrand","given":"Robert","email":"","middleInitial":"H.","affiliations":[{"id":13480,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":568194,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dettinger, Mike 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":859,"corporation":false,"usgs":true,"family":"Dettinger","given":"Mike","email":"mddettin@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":568195,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hayhoe, Katharine","contributorId":35624,"corporation":false,"usgs":false,"family":"Hayhoe","given":"Katharine","affiliations":[{"id":16625,"text":"Department of Geosciences, Texas Tech University, Lubbock, Texas","active":true,"usgs":false}],"preferred":false,"id":568196,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","interactions":[{"subject":{"id":70055657,"text":"ofr20131024F - 2014 - Time-domain electromagnetic surveys at Fort Irwin, San Bernardino County, California, 2010–12","indexId":"ofr20131024F","publicationYear":"2014","noYear":false,"chapter":"F","displayTitle":"Time-Domain Electromagnetic Surveys at Fort Irwin, San Bernardino County, California, 2010–12","title":"Time-domain electromagnetic surveys at Fort Irwin, San Bernardino County, California, 2010–12"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":1},{"subject":{"id":70133479,"text":"ofr20131024H - 2014 - Gravity survey and interpretation of Fort Irwin and vicinity, Mojave Desert, California","indexId":"ofr20131024H","publicationYear":"2014","noYear":false,"chapter":"H","displayTitle":"Gravity Survey and Interpretation of Fort Irwin and Vicinity, Mojave Desert, California","title":"Gravity survey and interpretation of Fort Irwin and vicinity, Mojave Desert, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":2},{"subject":{"id":70133885,"text":"ofr20131024B - 2014 - Generalized surficial geologic map of the Fort Irwin Area, San Bernardino County, California","indexId":"ofr20131024B","publicationYear":"2014","noYear":false,"chapter":"B","displayTitle":"Generalized Surficial Geologic Map of the Fort Irwin Area, San Bernardino County, California","title":"Generalized surficial geologic map of the Fort Irwin Area, San Bernardino County, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":3},{"subject":{"id":70133886,"text":"ofr20131024I - 2014 - Aeromagnetic data, processing, and maps of Fort Irwin and vicinity, California","indexId":"ofr20131024I","publicationYear":"2014","noYear":false,"chapter":"I","displayTitle":"Aeromagnetic Data, Processing, and Maps of Fort Irwin and Vicinity, California","title":"Aeromagnetic data, processing, and maps of Fort Irwin and vicinity, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":4},{"subject":{"id":70133887,"text":"ofr20131024A - 2014 - Introduction to the geologic and geophysical studies of Fort Irwin, California","indexId":"ofr20131024A","publicationYear":"2014","noYear":false,"chapter":"A","displayTitle":"Introduction to the Geologic and Geophysical Studies of Fort Irwin, California","title":"Introduction to the geologic and geophysical studies of Fort Irwin, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":5},{"subject":{"id":70135683,"text":"ofr20131024G - 2014 - Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California","indexId":"ofr20131024G","publicationYear":"2014","noYear":false,"chapter":"G","displayTitle":"Airborne Electromagnetic Data and Processing within Leach Lake Basin, Fort Irwin, California","title":"Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":6},{"subject":{"id":70142156,"text":"ofr20131024E - 2015 - Laboratory electrical resistivity analysis of geologic samples from Fort Irwin, California","indexId":"ofr20131024E","publicationYear":"2015","noYear":false,"chapter":"E","displayTitle":"Laboratory Electrical Resistivity Analysis of Geologic Samples from Fort Irwin, California","title":"Laboratory electrical resistivity analysis of geologic samples from Fort Irwin, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":7},{"subject":{"id":70199284,"text":"ofr20131024C - 2018 - Cenozoic geology of Fort Irwin and vicinity, California","indexId":"ofr20131024C","publicationYear":"2018","noYear":false,"chapter":"C","displayTitle":"Cenozoic Geology of Fort Irwin and Vicinity, California","title":"Cenozoic geology of Fort Irwin and vicinity, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":8},{"subject":{"id":70201189,"text":"ofr20131024D - 2018 - Lithostratigraphic framework in boreholes from Goldstone Lake and Nelson Lake Basins, Fort Irwin, California","indexId":"ofr20131024D","publicationYear":"2018","noYear":false,"chapter":"D","title":"Lithostratigraphic framework in boreholes from Goldstone Lake and Nelson Lake Basins, Fort Irwin, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":9}],"lastModifiedDate":"2019-06-11T12:41:18","indexId":"ofr20131024","displayToPublicDate":"2018-12-13T14:29:18","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1024","displayTitle":"Geology and Geophysics Applied to Groundwater Hydrology at Fort Irwin, California","title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","docAbstract":"
Geologic and geophysical investigations in the vicinity of Fort Irwin National Training Center, California, have been completed in support of groundwater investigations, and are presented in eight chapters of this report. A generalized surficial geologic map along with field and borehole investigations conducted during 2010–11 provide a lithostratigraphic and structural framework for the area during the Cenozoic. Electromagnetic properties of resistivity were measured in the laboratory on hand and core samples, and compared to borehole geophysical resistivity data. These data were used in conjunction with ground-based time-domain and airborne data and interpretations to provide a framework for the shallow lithologic units and structure. Gravity and aeromagnetic maps cover areas ~4 to 5 times that of Fort Irwin. Each chapter includes hydrogeologic applications of the data or model results.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131024","collaboration":"Prepared in cooperation with the U.S. Army, Fort Irwin National Training Center","usgsCitation":"Buesch, D.C., ed., Geology and geophysics applied to groundwater hydrology at Fort Irwin, California: U.S. Geological Survey Open-file Report 2013–1024, 2 p., https://doi.org/10.3133/ofr20131024.","productDescription":"9 Chapters","onlineOnly":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":359949,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1024/ofr2013-1024_cover.pdf","text":"Cover image","size":"1.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":359948,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1024/coverthb.jpg"}],"contact":"Contact Information,
Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
Between 2010 and 2012, a total of 79 time-domain electromagnetic (TEM) soundings were collected in 12 groundwater basins in the U.S. Army Fort Irwin National Training Center (NTC) study area to help improve the understanding of the hydrogeology of the NTC. The TEM data are discussed in this chapter in the context of geologic observations of the study area, the details of which are provided in the other chapters of this volume. Selection of locations for TEM soundings in unexplored basins was guided by gravity data that estimated depth to pre-Tertiary basement complex of crystalline rock and alluvial thickness. Some TEM data were collected near boreholes with geophysical logs. The TEM response at locations near boreholes was used to evaluate sounding data for areas without boreholes. TEM models also were used to guide site selection of subsequent boreholes drilled as part of this study. Following borehole completion, geophysical logs were used to ground-truth and reinterpret previously collected TEM data. This iterative process was used to site subsequent TEM soundings and borehole locations as the study progressed. Although each groundwater subbasin within the NTC boundaries was explored using the TEM method, collection of TEM data was focused in those basins identified as best suited for development of water resources. At the NTC, TEM estimates of some lithologic thicknesses and electrical properties in the unsaturated zone are in good accordance with borehole data; however, water-table elevations were not easily identifiable from TEM data.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131024F","collaboration":"Prepared in cooperation with the U.S. Army, Fort Irwin National Training Center","usgsCitation":"Burgess, M.K., and Bedrosian, P.A., 2014, Time-domain electromagnetic surveys at Fort Irwin, San Bernardino County, California, 2010–12, chap. F of Buesch, D.C., ed., Geology and geophysics applied to groundwater hydrology at Fort Irwin, California: U.S. Geological Survey Open-File Report 2013–1024, 64 p., https://doi.org/10.3133/ofr20131024F.","productDescription":"Report: v, 64 p.","numberOfPages":"69","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-044319","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":296420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1024/f/images/coverthb.jpg"},{"id":296367,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1024/f/downloads/ofr2013-1024_f.pdf","text":"Report","size":"6.8 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","county":"San Bernardino County","city":"Fort Irwin","contact":"Contact Information,
Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
To quantify chemical weathering and biological uptake, mass-balance calculations were performed on two small forested watersheds located in the Blue Ridge Physiographic Province in north-central Maryland, USA. Both watersheds, Bear Branch (BB) and Fishing Creek Tributary (FCT), are underlain by relatively unreactive quartzite bedrock. Such unreactive bedrock and associated low chemical-weathering rates offer the opportunity to quantify biological processes operating within the watershed. Hydrologic and stream-water chemistry data were collected from the two watersheds for the 9-year period from June 1, 1990 to May 31, 1999. Of the two watersheds, FCT exhibited both higher chemical-weathering rates and biomass nutrient uptake rates, suggesting that forest biomass aggradation was limited by the rate of chemical weathering of the bedrock. Although the chemical-weathering rate in the FCT watershed was low relative to the global average, it masked the influence of biomass base-cation uptake on stream-water chemistry. Any differences in bedrock mineralogy between the two watersheds did not exert a significant influence on the overall weathering stoichiometry. The difference in chemical-weathering rates between the two watersheds is best explained by a larger proportion of reactive phyllitic layers within the bedrock of the FCT watershed. Although the stream gradient of BB is about two-times greater than that of FCT, its influence on chemical weathering appears to be negligible. The findings of this study support the biomass nutrient uptake stoichiometry of K1.0Mg1.1Ca0.97 previously determined for the study site. Investigations of the chemical weathering of relatively unreactive quartzite bedrock may provide insight into critical zone processes.
","language":"English","publisher":"Springer","doi":"10.1007/s10498-013-9205-8","usgsCitation":"Rice, K.C., and Price, J.R., 2014, Comparison of mineral weathering and biomass nutrient uptake in two small forested watersheds underlain by quartzite bedrock, Catoctin Mountain, Maryland, USA: Aquatic Geochemistry, v. 20, no. 2, p. 225-242, https://doi.org/10.1007/s10498-013-9205-8.","productDescription":"18 p.","startPage":"225","endPage":"242","ipdsId":"IP-043877","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":333125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Frederick","otherGeospatial":"Catoctin Mountain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.50957489013672,\n 39.525494363862606\n ],\n [\n -77.50957489013672,\n 39.67019926771586\n ],\n [\n -77.37361907958984,\n 39.67019926771586\n ],\n [\n -77.37361907958984,\n 39.525494363862606\n ],\n [\n -77.50957489013672,\n 39.525494363862606\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-07","publicationStatus":"PW","scienceBaseUri":"5878a48de4b04df303d9581c","contributors":{"authors":[{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":178269,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":658360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Price, Jason R.","contributorId":178278,"corporation":false,"usgs":false,"family":"Price","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":658361,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70169946,"text":"70169946 - 2014 - Collaborative modelling and integrated decision support system analysis of a developed terminal lake basin","interactions":[],"lastModifiedDate":"2016-03-31T13:37:07","indexId":"70169946","displayToPublicDate":"2016-03-31T09:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Collaborative modelling and integrated decision support system analysis of a developed terminal lake basin","docAbstract":"A terminal lake basin in west-central Nevada, Walker Lake, has undergone drastic change over the past 90 yrs due to upstream water use for agriculture. Decreased inflows to the lake have resulted in 100 km2 decrease in lake surface area and a total loss of fisheries due to salinization. The ecologic health of Walker Lake is of great concern as the lake is a stopover point on the Pacific route for migratory birds from within and outside the United States. Stakeholders, water institutions, and scientists have engaged in collaborative modeling and the development of a decision support system that is being used to develop and analyze management change options to restore the lake. Here we use an integrated management and hydrologic model that relies on state-of-the-art simulation capabilities to evaluate the benefits of using integrated hydrologic models as components of a decision support system. Nonlinear feedbacks among climate, surface-water and groundwater exchanges, and water use present challenges for simulating realistic outcomes associated with management change. Integrated management and hydrologic modeling provides a means of simulating benefits associated with management change in the Walker River basin where drastic changes in the hydrologic landscape have taken place over the last century. Through the collaborative modeling process, stakeholder support is increasing and possibly leading to management change options that result in reductions in Walker Lake salt concentrations, as simulated by the decision support system.
","language":"English","doi":"10.1016/j.jhydrol.2014.05.043","collaboration":"Bureau of Reclamation","usgsCitation":"Niswonger, R.G., Allander, K.K., and Jeton, A.E., 2014, Collaborative modelling and integrated decision support system analysis of a developed terminal lake basin: Journal of Hydrology, v. 517, p. 521-537, https://doi.org/10.1016/j.jhydrol.2014.05.043.","productDescription":"17 p.","startPage":"521","endPage":"537","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052113","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":319667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Walker Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.2403564453125,\n 38.30071455572194\n ],\n [\n -118.2403564453125,\n 38.30071455572194\n ],\n [\n -118.2403564453125,\n 38.30071455572194\n ],\n [\n -118.2403564453125,\n 38.30071455572194\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.5806884765625,\n 38.27053224010455\n ],\n [\n -119.5806884765625,\n 39.13432124527173\n ],\n [\n -118.28979492187499,\n 39.13432124527173\n ],\n [\n -118.28979492187499,\n 38.27053224010455\n ],\n [\n -119.5806884765625,\n 38.27053224010455\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"517","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fe3c22e4b075ab2b2aa095","contributors":{"authors":[{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":152462,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":625691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allander, Kip K. 0000-0002-3317-298X kalland@usgs.gov","orcid":"https://orcid.org/0000-0002-3317-298X","contributorId":2290,"corporation":false,"usgs":true,"family":"Allander","given":"Kip","email":"kalland@usgs.gov","middleInitial":"K.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":625692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jeton, Anne E.","contributorId":45351,"corporation":false,"usgs":true,"family":"Jeton","given":"Anne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":625693,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173949,"text":"70173949 - 2014 - Prevalence of pure versus mixed snow cover pixels across spatial resolutions in alpine environments: implications for binary and fractional remote sensing approaches","interactions":[],"lastModifiedDate":"2016-06-20T10:22:54","indexId":"70173949","displayToPublicDate":"2016-01-19T07:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence of pure versus mixed snow cover pixels across spatial resolutions in alpine environments: implications for binary and fractional remote sensing approaches","docAbstract":"Remote sensing of snow-covered area (SCA) can be binary (indicating the presence/absence of snow cover at each pixel) or fractional (indicating the fraction of each pixel covered by snow). Fractional SCA mapping provides more information than binary SCA, but is more difficult to implement and may not be feasible with all types of remote sensing data. The utility of fractional SCA mapping relative to binary SCA mapping varies with the intended application as well as by spatial resolution, temporal resolution and period of interest, and climate. We quantified the frequency of occurrence of partially snow-covered (mixed) pixels at spatial resolutions between 1 m and 500 m over five dates at two study areas in the western U.S., using 0.5 m binary SCA maps derived from high spatial resolution imagery aggregated to fractional SCA at coarser spatial resolutions. In addition, we used in situ monitoring to estimate the frequency of partially snow-covered conditions for the period September 2013–August 2014 at 10 60-m grid cell footprints at two study areas with continental snow climates. Results from the image analysis indicate that at 40 m, slightly above the nominal spatial resolution of Landsat, mixed pixels accounted for 25%–93% of total pixels, while at 500 m, the nominal spatial resolution of MODIS bands used for snow cover mapping, mixed pixels accounted for 67%–100% of total pixels. Mixed pixels occurred more commonly at the continental snow climate site than at the maritime snow climate site. The in situ data indicate that some snow cover was present between 186 and 303 days, and partial snow cover conditions occurred on 10%–98% of days with snow cover. Four sites remained partially snow-free throughout most of the winter and spring, while six sites were entirely snow covered throughout most or all of the winter and spring. Within 60 m grid cells, the late spring/summer transition from snow-covered to snow-free conditions lasted 17–56 days and averaged 37 days. Our results suggest that mixed snow-covered snow-free pixels are common at the spatial resolutions imaged by both the Landsat and MODIS sensors. This highlights the additional information available from fractional SCA products and suggests fractional SCA can provide a major advantage for hydrological and climatological monitoring and modeling, particularly when accurate representation of the spatial distribution of snow cover is critical.
","language":"English","publisher":"MDPI","doi":"10.3390/rs61212478","usgsCitation":"Selkowitz, D.J., Forster, R., and Caldwell, M.K., 2014, Prevalence of pure versus mixed snow cover pixels across spatial resolutions in alpine environments: implications for binary and fractional remote sensing approaches: Remote Sensing, v. 6, no. 12, p. 12478-12508, https://doi.org/10.3390/rs61212478.","productDescription":"30 p.","startPage":"12478","endPage":"12508","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060122","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":472504,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs61212478","text":"Publisher Index Page"},{"id":323952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-11","publicationStatus":"PW","scienceBaseUri":"576913e4e4b07657d19ff238","contributors":{"authors":[{"text":"Selkowitz, David J. 0000-0003-0824-7051 dselkowitz@usgs.gov","orcid":"https://orcid.org/0000-0003-0824-7051","contributorId":3259,"corporation":false,"usgs":true,"family":"Selkowitz","given":"David","email":"dselkowitz@usgs.gov","middleInitial":"J.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":639740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forster, Richard","contributorId":172149,"corporation":false,"usgs":false,"family":"Forster","given":"Richard","affiliations":[{"id":26993,"text":"University of Utah, Department of Geography","active":true,"usgs":false}],"preferred":false,"id":639741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Megan K. mcaldwell@usgs.gov","contributorId":4243,"corporation":false,"usgs":true,"family":"Caldwell","given":"Megan","email":"mcaldwell@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":639742,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70129357,"text":"70129357 - 2014 - Estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina","interactions":[],"lastModifiedDate":"2017-06-13T17:50:57","indexId":"70129357","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina","docAbstract":"Reliable estimates of the magnitude and frequency of floods are essential for such things as the design of transportation and water-conveyance structures, Flood Insurance Studies, and flood-plain management. The flood-frequency estimates are particularly important in densely populated urban areas. A multistate approach was used to update methods for determining the magnitude and frequency of floods in urban and small, rural streams that are not substantially affected by regulation or tidal fluctuations in Georgia, South Carolina, and North Carolina. The multistate approach has the advantage over a single state approach of increasing the number of stations available for analysis, expanding the geographical coverage that would allow for application of regional regression equations across state boundaries, and building on a previous flood-frequency investigation of rural streamflow-gaging stations (streamgages) in the Southeastern United States. In addition, streamgages from the inner Coastal Plain of New Jersey were included in the analysis.\r\nGeneralized least-squares regression techniques were used to generate predictive equations for estimating the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probability flows for urban and small, rural ungaged basins for three hydrologic regions; the Piedmont-Ridge and Valley, Sand Hills, and Coastal Plain. Incorporation of urban streamgages from New Jersey also allowed for the expansion of the applicability of the predictive equations in the Coastal Plain from 2.1 to 53.5 square miles. Explanatory variables in the regression equations included drainage area (DA) and percent of impervious area (IA) for the Piedmont-Ridge and Valley region; DA and percent of developed land for the Sand Hills; and DA, IA, and 24-hour, 50-year maximum precipitation for the Coastal Plain. An application spreadsheet also was developed that can be used to compute the flood-frequency estimates along with the 95-percent prediction intervals for an ungaged location. \r\n","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 3rd Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2015","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"Department of Interior","usgsCitation":"Feaster, T., Gotvald, A.J., and Weaver, J.C., 2014, Estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina, 9 p.","productDescription":"9 p.","startPage":"512","endPage":"520","ipdsId":"IP-059335","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":342454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342453,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/"}],"country":"United States","state":"Georgia, North Carolina, South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.85791015625,\n 29.38217507514529\n ],\n [\n -75.05859375,\n 29.38217507514529\n ],\n [\n -75.05859375,\n 37.3002752813443\n ],\n [\n -86.85791015625,\n 37.3002752813443\n ],\n [\n -86.85791015625,\n 29.38217507514529\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5940f9b5e4b0764e6c63ead8","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weaver, J. Curtis 0000-0001-7068-5445 jcweaver@usgs.gov","orcid":"https://orcid.org/0000-0001-7068-5445","contributorId":2229,"corporation":false,"usgs":true,"family":"Weaver","given":"J.","email":"jcweaver@usgs.gov","middleInitial":"Curtis","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519850,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70135997,"text":"70135997 - 2014 - Physically based method for measuring suspended-sediment concentration and grain size using multi-frequency arrays of acoustic-doppler profilers","interactions":[],"lastModifiedDate":"2017-06-14T15:15:39","indexId":"70135997","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Physically based method for measuring suspended-sediment concentration and grain size using multi-frequency arrays of acoustic-doppler profilers","docAbstract":"As the result of a 12-year program of sediment-transport research and field testing on the Colorado River (6 stations in UT and AZ), Yampa River (2 stations in CO), Little Snake River (1 station in CO), Green River (1 station in CO and 2 stations in UT), and Rio Grande (2 stations in TX), we have developed a physically based method for measuring suspended-sediment concentration and grain size at 15-minute intervals using multifrequency arrays of acoustic-Doppler profilers. This multi-frequency method is able to achieve much higher accuracies than single-frequency acoustic methods because it allows removal of the influence of changes in grain size on acoustic backscatter. The method proceeds as follows. (1) Acoustic attenuation at each frequency is related to the concentration of silt and clay with a known grain-size distribution in a river cross section using physical samples and theory. (2) The combination of acoustic backscatter and attenuation at each frequency is uniquely related to the concentration of sand (with a known reference grain-size distribution) and the concentration of silt and clay (with a known reference grain-size distribution) in a river cross section using physical samples and theory. (3) Comparison of the suspended-sand concentrations measured at each frequency using this approach then allows theory-based calculation of the median grain size of the suspended sand and final correction of the suspended-sand concentration to compensate for the influence of changing grain size on backscatter. Although this method of measuring suspended-sediment concentration is somewhat less accurate than using conventional samplers in either the EDI or EWI methods, it is much more accurate than estimating suspended-sediment concentrations using calibrated pump measurements or single-frequency acoustics. Though the EDI and EWI methods provide the most accurate measurements of suspended-sediment concentration, these measurements are labor-intensive, expensive, and may be impossible to collect at time intervals less than discharge-independent changes in suspended-sediment concentration can occur (< hours). Therefore, our physically based multi-frequency acoustic method shows promise as a cost-effective, valid approach for calculating suspended-sediment loads in river at a level of accuracy sufficient for many scientific and management purposes.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 2015 Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling ","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2015 Conference","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","usgsCitation":"Topping, D.J., Wright, S., Griffiths, R.E., and Dean, D.J., 2014, Physically based method for measuring suspended-sediment concentration and grain size using multi-frequency arrays of acoustic-doppler profilers, in Proceedings of the 2015 Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling , Reno, NV, April 19-23, 2015, 14 p.","productDescription":"14 p.","ipdsId":"IP-061039","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":342444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342443,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2015/openconf/modules/request.php?module=oc_program&action=summary.php&id=250"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5940f9b5e4b0764e6c63ead1","contributors":{"authors":[{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":537048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":537050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dean, David J. 0000-0003-0203-088X djdean@usgs.gov","orcid":"https://orcid.org/0000-0003-0203-088X","contributorId":131047,"corporation":false,"usgs":true,"family":"Dean","given":"David","email":"djdean@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":537051,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173468,"text":"70173468 - 2014 - Predictive Management of Asian Carps in the Upper Mississippi River System","interactions":[],"lastModifiedDate":"2016-06-17T13:57:45","indexId":"70173468","displayToPublicDate":"2015-12-16T14:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5040,"text":"Reviews in Fisheries Science & Aquaculture","onlineIssn":"2330-8257","printIssn":"2330-8249","active":true,"publicationSubtype":{"id":10}},"title":"Predictive Management of Asian Carps in the Upper Mississippi River System","docAbstract":"Prolific non-native organisms pose serious threats to ecosystems and economies worldwide. Nonnative bighead carp (Hypophthalmichthys nobilis) and silver carp (H. molitrix), collectively referred to as Asian carps, continue to colonize aquatic ecosystems throughout the central United States. These species are r-selected, exhibiting iteroparous spawning, rapid growth, broad environmental tolerance, high density, and long-distance movement. Hydrological, thermal, and physicochemical conditions are favorable for establishment beyond the current range, rendering containment and control imperative. Ecological approaches to confine Asian carp populations and prevent colonization characterize contemporary management in the United States. Foraging and reproduction of Asian carps govern habitat selection and movement, providing valuable insight for predictive control. Current management approaches are progressive and often anticipatory but deficient in human dimensions. We define predictive management of Asian carps as synthesis of ecology and human dimensions at regional and local scales to develop strategies for containment and control. We illustrate predictive management in the Upper Mississippi River System and suggest resource managers integrate predictive models, containment paradigms, and human dimensions to design effective, socially acceptable management strategies. Through continued research, university-agency collaboration, and public engagement, predictive management of Asian carps is an auspicious paradigm for preventing and alleviating consequences of colonization in the United States.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/23308249.2014.967747","usgsCitation":"Vondracek, B.C., and Carlson, A.K., 2014, Predictive Management of Asian Carps in the Upper Mississippi River System: Reviews in Fisheries Science & Aquaculture, v. 22, no. 4, p. 284-300, https://doi.org/10.1080/23308249.2014.967747.","productDescription":"16 p.","startPage":"284","endPage":"300","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054341","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-66.28243,18.51476],[-65.7713,18.42668],[-65.591,18.22803],[-65.84716,17.97591],[-66.59993,17.98182],[-67.18416,17.94655],[-67.24243,18.37446],[-67.10068,18.5206],[-66.28243,18.51476]]],[[[-155.54211,19.08348],[-155.68817,18.91619],[-155.93665,19.05939],[-155.90806,19.33888],[-156.07347,19.70294],[-156.02368,19.81422],[-155.85008,19.97729],[-155.91907,20.17395],[-155.86108,20.26721],[-155.78505,20.2487],[-155.40214,20.07975],[-155.22452,19.99302],[-155.06226,19.8591],[-154.80741,19.50871],[-154.83147,19.45328],[-155.22217,19.23972],[-155.54211,19.08348]]],[[[-156.07926,20.64397],[-156.41445,20.57241],[-156.58673,20.783],[-156.70167,20.8643],[-156.71055,20.92676],[-156.61258,21.01249],[-156.25711,20.91745],[-155.99566,20.76404],[-156.07926,20.64397]]],[[[-156.75824,21.17684],[-156.78933,21.06873],[-157.32521,21.09777],[-157.25027,21.21958],[-156.75824,21.17684]]],[[[-157.65283,21.32217],[-157.70703,21.26442],[-157.7786,21.27729],[-158.12667,21.31244],[-158.2538,21.53919],[-158.29265,21.57912],[-158.0252,21.71696],[-157.94161,21.65272],[-157.65283,21.32217]]],[[[-159.34512,21.982],[-159.46372,21.88299],[-159.80051,22.06533],[-159.74877,22.1382],[-159.5962,22.23618],[-159.36569,22.21494],[-159.34512,21.982]]],[[[-94.81758,49.38905],[-94.64,48.84],[-94.32914,48.67074],[-93.63087,48.60926],[-92.61,48.45],[-91.64,48.14],[-90.83,48.27],[-89.6,48.01],[-89.27292,48.01981],[-88.37811,48.30292],[-87.43979,47.94],[-86.46199,47.55334],[-85.65236,47.22022],[-84.87608,46.90008],[-84.77924,46.6371],[-84.54375,46.53868],[-84.6049,46.4396],[-84.3367,46.40877],[-84.14212,46.51223],[-84.09185,46.27542],[-83.89077,46.11693],[-83.61613,46.11693],[-83.46955,45.99469],[-83.59285,45.81689],[-82.55092,45.34752],[-82.33776,44.44],[-82.13764,43.57109],[-82.43,42.98],[-82.9,42.43],[-83.12,42.08],[-83.142,41.97568],[-83.02981,41.8328],[-82.69009,41.67511],[-82.43928,41.67511],[-81.27775,42.20903],[-80.24745,42.3662],[-78.93936,42.86361],[-78.92,42.965],[-79.01,43.27],[-79.17167,43.46634],[-78.72028,43.62509],[-77.73789,43.62906],[-76.82003,43.62878],[-76.5,44.01846],[-76.375,44.09631],[-75.31821,44.81645],[-74.867,45.00048],[-73.34783,45.00738],[-71.50506,45.0082],[-71.405,45.255],[-71.08482,45.30524],[-70.66,45.46],[-70.305,45.915],[-69.99997,46.69307],[-69.23722,47.44778],[-68.905,47.185],[-68.23444,47.35486],[-67.79046,47.06636],[-67.79134,45.70281],[-67.13741,45.13753],[-66.96466,44.8097],[-68.03252,44.3252],[-69.06,43.98],[-70.11617,43.68405],[-70.64548,43.09024],[-70.81489,42.8653],[-70.825,42.335],[-70.495,41.805],[-70.08,41.78],[-70.185,42.145],[-69.88497,41.92283],[-69.96503,41.63717],[-70.64,41.475],[-71.12039,41.49445],[-71.86,41.32],[-72.295,41.27],[-72.87643,41.22065],[-73.71,40.9311],[-72.24126,41.11948],[-71.945,40.93],[-73.345,40.63],[-73.982,40.628],[-73.95232,40.75075],[-74.25671,40.47351],[-73.96244,40.42763],[-74.17838,39.70926],[-74.90604,38.93954],[-74.98041,39.1964],[-75.20002,39.24845],[-75.52805,39.4985],[-75.32,38.96],[-75.07183,38.78203],[-75.05673,38.40412],[-75.37747,38.01551],[-75.94023,37.21689],[-76.03127,37.2566],[-75.72205,37.93705],[-76.23287,38.31921],[-76.35,39.15],[-76.54272,38.71762],[-76.32933,38.08326],[-76.99,38.23999],[-76.30162,37.91794],[-76.25874,36.9664],[-75.9718,36.89726],[-75.86804,36.55125],[-75.72749,35.55074],[-76.36318,34.80854],[-77.39763,34.51201],[-78.05496,33.92547],[-78.55435,33.86133],[-79.06067,33.49395],[-79.20357,33.15839],[-80.30132,32.50935],[-80.86498,32.0333],[-81.33629,31.44049],[-81.49042,30.72999],[-81.31371,30.03552],[-80.98,29.18],[-80.53558,28.47213],[-80.53,28.04],[-80.05654,26.88],[-80.08801,26.20576],[-80.13156,25.81677],[-80.38103,25.20616],[-80.68,25.08],[-81.17213,25.20126],[-81.33,25.64],[-81.71,25.87],[-82.24,26.73],[-82.70515,27.49504],[-82.85526,27.88624],[-82.65,28.55],[-82.93,29.1],[-83.70959,29.93656],[-84.1,30.09],[-85.10882,29.63615],[-85.28784,29.68612],[-85.7731,30.15261],[-86.4,30.4],[-87.53036,30.27433],[-88.41782,30.3849],[-89.18049,30.31598],[-89.59383,30.15999],[-89.41373,29.89419],[-89.43,29.48864],[-89.21767,29.29108],[-89.40823,29.15961],[-89.77928,29.30714],[-90.15463,29.11743],[-90.88022,29.14854],[-91.62678,29.677],[-92.49906,29.5523],[-93.22637,29.78375],[-93.84842,29.71363],[-94.69,29.48],[-95.60026,28.73863],[-96.59404,28.30748],[-97.14,27.83],[-97.37,27.38],[-97.38,26.69],[-97.33,26.21],[-97.14,25.87],[-97.53,25.84],[-98.24,26.06],[-99.02,26.37],[-99.3,26.84],[-99.52,27.54],[-100.11,28.11],[-100.45584,28.69612],[-100.9576,29.38071],[-101.6624,29.7793],[-102.48,29.76],[-103.11,28.97],[-103.94,29.27],[-104.45697,29.57196],[-104.70575,30.12173],[-105.03737,30.64402],[-105.63159,31.08383],[-106.1429,31.39995],[-106.50759,31.75452],[-108.24,31.75485],[-108.24194,31.34222],[-109.035,31.34194],[-111.02361,31.33472],[-113.30498,32.03914],[-114.815,32.52528],[-114.72139,32.72083],[-115.99135,32.61239],[-117.12776,32.53534],[-117.29594,33.04622],[-117.944,33.62124],[-118.4106,33.74091],[-118.51989,34.02778],[-119.081,34.078],[-119.43884,34.34848],[-120.36778,34.44711],[-120.62286,34.60855],[-120.74433,35.15686],[-121.71457,36.16153],[-122.54747,37.55176],[-122.51201,37.78339],[-122.95319,38.11371],[-123.7272,38.95166],[-123.86517,39.76699],[-124.39807,40.3132],[-124.17886,41.14202],[-124.2137,41.99964],[-124.53284,42.76599],[-124.14214,43.70838],[-124.02053,44.6159],[-123.89893,45.52341],[-124.07963,46.86475],[-124.39567,47.72017],[-124.68721,48.18443],[-124.5661,48.37971],[-123.12,48.04],[-122.58736,47.096],[-122.34,47.36],[-122.5,48.18],[-122.84,49],[-120,49],[-117.03121,49],[-116.04818,49],[-113,49],[-110.05,49],[-107.05,49],[-104.04826,48.99986],[-100.65,49],[-97.22872,49.0007],[-95.15907,49],[-95.15609,49.38425],[-94.81758,49.38905]]],[[[-153.00631,57.11584],[-154.00509,56.73468],[-154.5164,56.99275],[-154.67099,57.4612],[-153.76278,57.81657],[-153.22873,57.96897],[-152.56479,57.90143],[-152.14115,57.59106],[-153.00631,57.11584]]],[[[-165.57916,59.90999],[-166.19277,59.75444],[-166.84834,59.94141],[-167.45528,60.21307],[-166.46779,60.38417],[-165.67443,60.29361],[-165.57916,59.90999]]],[[[-171.73166,63.78252],[-171.11443,63.59219],[-170.49111,63.69498],[-169.68251,63.43112],[-168.68944,63.29751],[-168.77194,63.1886],[-169.52944,62.97693],[-170.29056,63.19444],[-170.67139,63.37582],[-171.55306,63.31779],[-171.79111,63.40585],[-171.73166,63.78252]]],[[[-155.06779,71.14778],[-154.34417,70.69641],[-153.90001,70.88999],[-152.21001,70.82999],[-152.27,70.60001],[-150.73999,70.43002],[-149.72,70.53001],[-147.61336,70.21403],[-145.68999,70.12001],[-144.92001,69.98999],[-143.58945,70.15251],[-142.07251,69.85194],[-140.98599,69.712],[-140.9925,66.00003],[-140.99777,60.3064],[-140.013,60.27684],[-139.039,60.00001],[-138.34089,59.56211],[-137.4525,58.905],[-136.47972,59.46389],[-135.47583,59.78778],[-134.945,59.27056],[-134.27111,58.86111],[-133.35555,58.41029],[-132.73042,57.69289],[-131.70781,56.55212],[-130.00778,55.91583],[-129.97999,55.285],[-130.53611,54.80275],[-131.08582,55.17891],[-131.96721,55.49778],[-132.25001,56.37],[-133.53918,57.17889],[-134.07806,58.12307],[-135.03821,58.18771],[-136.62806,58.21221],[-137.80001,58.5],[-139.86779,59.53776],[-140.82527,59.72752],[-142.57444,60.08445],[-143.95888,59.99918],[-145.92556,60.45861],[-147.11437,60.88466],[-148.22431,60.67299],[-148.01807,59.97833],[-148.57082,59.91417],[-149.72786,59.70566],[-150.60824,59.36821],[-151.71639,59.15582],[-151.85943,59.74498],[-151.40972,60.7258],[-150.34694,61.03359],[-150.62111,61.28442],[-151.89584,60.7272],[-152.57833,60.06166],[-154.01917,59.35028],[-153.28751,58.86473],[-154.23249,58.14637],[-155.30749,57.72779],[-156.30833,57.42277],[-156.5561,56.97998],[-158.11722,56.46361],[-158.43332,55.99415],[-159.60333,55.56669],[-160.28972,55.64358],[-161.22305,55.36473],[-162.23777,55.02419],[-163.06945,54.68974],[-164.78557,54.40417],[-164.94223,54.57222],[-163.84834,55.03943],[-162.87,55.34804],[-161.80417,55.89499],[-160.5636,56.00805],[-160.07056,56.41806],[-158.68444,57.01668],[-158.4611,57.21692],[-157.72277,57.57],[-157.55027,58.32833],[-157.04167,58.91888],[-158.19473,58.6158],[-158.51722,58.78778],[-159.05861,58.42419],[-159.71167,58.93139],[-159.98129,58.57255],[-160.35527,59.07112],[-161.355,58.67084],[-161.96889,58.67166],[-162.05499,59.26693],[-161.87417,59.63362],[-162.51806,59.98972],[-163.81834,59.79806],[-164.66222,60.26748],[-165.34639,60.5075],[-165.35083,61.0739],[-166.12138,61.50002],[-165.73445,62.075],[-164.91918,62.63308],[-164.56251,63.14638],[-163.75333,63.21945],[-163.06722,63.05946],[-162.26056,63.54194],[-161.53445,63.45582],[-160.77251,63.76611],[-160.95834,64.2228],[-161.51807,64.40279],[-160.77778,64.7886],[-161.39193,64.77724],[-162.45305,64.55944],[-162.75779,64.33861],[-163.54639,64.55916],[-164.96083,64.44695],[-166.42529,64.68667],[-166.845,65.0889],[-168.11056,65.67],[-166.70527,66.08832],[-164.47471,66.57666],[-163.65251,66.57666],[-163.7886,66.07721],[-161.67777,66.11612],[-162.48971,66.73557],[-163.71972,67.11639],[-164.43099,67.61634],[-165.39029,68.04277],[-166.76444,68.35888],[-166.20471,68.88303],[-164.43081,68.91554],[-163.16861,69.37111],[-162.93057,69.85806],[-161.9089,70.33333],[-160.9348,70.44769],[-159.03918,70.89164],[-158.11972,70.82472],[-156.58082,71.35776],[-155.06779,71.14778]]]]},\"properties\":{\"name\":\"United States\"}}]}","volume":"22","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-31","publicationStatus":"PW","scienceBaseUri":"57651f39e4b07657d19c7917","contributors":{"authors":[{"text":"Vondracek, Bruce C. bcv@usgs.gov","contributorId":904,"corporation":false,"usgs":true,"family":"Vondracek","given":"Bruce","email":"bcv@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlson, Andrew K.","contributorId":172103,"corporation":false,"usgs":false,"family":"Carlson","given":"Andrew","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":639601,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173457,"text":"70173457 - 2014 - A regional neural network model for predicting mean daily river water temperature","interactions":[],"lastModifiedDate":"2016-06-17T14:44:17","indexId":"70173457","displayToPublicDate":"2015-12-15T14:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"A regional neural network model for predicting mean daily river water temperature","docAbstract":"Water temperature is a fundamental property of river habitat and often a key aspect of river resource management, but measurements to characterize thermal regimes are not available for most streams and rivers. As such, we developed an artificial neural network (ANN) ensemble model to predict mean daily water temperature in 197,402 individual stream reaches during the warm season (May–October) throughout the native range of brook trout Salvelinus fontinalis in the eastern U.S. We compared four models with different groups of predictors to determine how well water temperature could be predicted by climatic, landform, and land cover attributes, and used the median prediction from an ensemble of 100 ANNs as our final prediction for each model. The final model included air temperature, landform attributes and forested land cover and predicted mean daily water temperatures with moderate accuracy as determined by root mean squared error (RMSE) at 886 training sites with data from 1980 to 2009 (RMSE = 1.91 °C). Based on validation at 96 sites (RMSE = 1.82) and separately for data from 2010 (RMSE = 1.93), a year with relatively warmer conditions, the model was able to generalize to new stream reaches and years. The most important predictors were mean daily air temperature, prior 7 day mean air temperature, and network catchment area according to sensitivity analyses. Forest land cover at both riparian and catchment extents had relatively weak but clear negative effects. Predicted daily water temperature averaged for the month of July matched expected spatial trends with cooler temperatures in headwaters and at higher elevations and latitudes. Our ANN ensemble is unique in predicting daily temperatures throughout a large region, while other regional efforts have predicted at relatively coarse time steps. The model may prove a useful tool for predicting water temperatures in sampled and unsampled rivers under current conditions and future projections of climate and land use changes, thereby providing information that is valuable to management of river ecosystems and biota such as brook trout.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.05.035","usgsCitation":"Wagner, T., and DeWeber, J.T., 2014, A regional neural network model for predicting mean daily river water temperature: Journal of Hydrology, v. 517, p. 187-200, https://doi.org/10.1016/j.jhydrol.2014.05.035.","productDescription":"13 p.","startPage":"187","endPage":"200","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046229","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"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 -66.97265625,\n 44.91813929958515\n ],\n [\n -67.19238281249999,\n 45.19752230305685\n ],\n [\n -67.43408203124999,\n 45.182036837015886\n ],\n [\n -67.5,\n 45.321254361171476\n ],\n [\n -67.43408203124999,\n 45.460130637921004\n ],\n [\n -67.39013671875,\n 45.583289756006316\n ],\n [\n -67.7197265625,\n 45.67548217560647\n ],\n [\n -67.69775390625,\n 47.07012182383309\n ],\n [\n -68.02734375,\n 47.428087261714275\n ],\n [\n -68.44482421875,\n 47.47266286861342\n ],\n [\n -68.70849609375,\n 47.338822694822\n ],\n [\n -68.92822265625,\n 47.338822694822\n ],\n [\n -68.97216796875,\n 47.487513008956554\n ],\n [\n -69.2138671875,\n 47.487513008956554\n ],\n [\n -70.1806640625,\n 46.6795944656402\n ],\n [\n -70.09277343749999,\n 46.45299704748289\n ],\n [\n -70.400390625,\n 46.22545288226939\n ],\n [\n -70.3564453125,\n 46.057985244793024\n ],\n [\n -70.3564453125,\n 45.85941212790755\n ],\n [\n -70.7080078125,\n 45.583289756006316\n ],\n [\n -70.83984375,\n 45.35214524585177\n ],\n [\n -71.08154296875,\n 45.36758436884978\n ],\n [\n -71.279296875,\n 45.321254361171476\n ],\n [\n -71.4990234375,\n 45.19752230305685\n ],\n [\n -71.56494140625,\n 45.058001435398296\n ],\n [\n -74.86083984375,\n 45.058001435398296\n ],\n [\n -76.35498046875,\n 44.134913443750726\n ],\n [\n -76.83837890625,\n 43.628123412124616\n ],\n [\n -79.1015625,\n 43.46886761482925\n ],\n [\n -78.9697265625,\n 42.94033923363183\n ],\n [\n -81.67236328125,\n 41.60722821271717\n ],\n [\n -80.44189453125,\n 41.37680856570233\n ],\n [\n -80.5517578125,\n 39.757879992021756\n ],\n [\n -81.2109375,\n 38.94232097947902\n ],\n [\n -81.38671875,\n 38.53097889440026\n ],\n [\n -81.73828125,\n 38.30718056188316\n ],\n [\n -81.73828125,\n 37.996162679728116\n ],\n [\n -81.7822265625,\n 37.84015683604134\n ],\n [\n -83.21044921875,\n 36.61552763134925\n ],\n [\n -83.9794921875,\n 36.08462129606931\n ],\n [\n -84.111328125,\n 35.47856499535729\n ],\n [\n -83.51806640624999,\n 34.687427949314845\n ],\n [\n -82.96875,\n 34.70549341022544\n ],\n [\n -82.353515625,\n 34.72355492704219\n ],\n [\n -81.67236328125,\n 35.08395557927643\n ],\n [\n -81.123046875,\n 35.585851593232356\n ],\n [\n -80.79345703125,\n 36.29741818650811\n ],\n [\n -80.22216796875,\n 36.8092847020594\n ],\n [\n -78.94775390625,\n 37.80544394934274\n ],\n [\n -77.95898437499999,\n 38.92522904714054\n ],\n [\n -77.1240234375,\n 39.198205348894795\n ],\n [\n -75.498046875,\n 39.80853604144591\n ],\n [\n -74.72900390625,\n 40.17887331434696\n ],\n [\n -72.00439453125,\n 40.93011520598305\n ],\n [\n -66.97265625,\n 44.91813929958515\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"517","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57651f30e4b07657d19c787e","contributors":{"authors":[{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeWeber, Jefferson Tyrell","contributorId":172108,"corporation":false,"usgs":false,"family":"DeWeber","given":"Jefferson","email":"","middleInitial":"Tyrell","affiliations":[],"preferred":false,"id":639618,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159864,"text":"70159864 - 2014 - Hydrogeochemistry of prairie pothole region wetlands: Role of long-term critical zone processes","interactions":[],"lastModifiedDate":"2017-10-26T11:12:27","indexId":"70159864","displayToPublicDate":"2015-12-01T15:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeochemistry of prairie pothole region wetlands: Role of long-term critical zone processes","docAbstract":"This study addresses the geologic and hydrogeochemical processes operating at a range of scales within the prairie pothole region (PPR). The PPR is a 750,000 km2portion of north central North America that hosts millions of small wetlands known to be critical habitat for waterfowl and other wildlife. At a local scale, we characterized the geochemical evolution of the 92-ha Cottonwood Lake study area (CWLSA), located in North Dakota, USA. Critical zone processes are the long-term determinant of wetland water and groundwater geochemistry via the interaction of oxygenated groundwater with pyrite in the underlying glacial till. Pyrite oxidation produced a brown, iron oxide-bearing surface layer locally over 13 m thick and an estimated minimum of 1.3 × 1010 g sulfate (SO42 −) at CWLSA. We show that the majority of this SO42− now resides in solid-phase gypsum (CaSO4•2H2O) and gypsum-saturated groundwater.
\nResults from the CWLSA were scaled up to a 9700 km2 area surrounding CWLSA using ~ 1800 drill logs and literature data on wetland water chemistry for 178 wetlands within this larger area. The oxidized brown zone depth and wetland water compositional trends are very similar to the CWLSA. Additionally, surface water data from 176 southern Canadian pothole wetlands that conform to the same wetland water geochemical trends as those recorded in the CWLSA further corroborate that SO42 − accumulation driven by pyrite oxidation is a nearly ubiquitous process in the prairie pothole region and distinguishes PPR wetlands from other wetlands worldwide that have a similar overall hydrology.
","language":"English","publisher":"ScienceDirect","doi":"10.1016/j.chemgeo.2014.08.023","usgsCitation":"Goldhaber, M.B., Mills, C., Morrison, J.M., Stricker, C.A., Mushet, D.M., and LaBaugh, J.W., 2014, Hydrogeochemistry of prairie pothole region wetlands: Role of long-term critical zone processes: Chemical Geology, v. 387, p. 170-183, https://doi.org/10.1016/j.chemgeo.2014.08.023.","productDescription":"14 p.","startPage":"170","endPage":"183","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036658","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":311772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Manitoba, North Dakota, Saskatchewan","otherGeospatial":"Cottonwood Lake Study Area, Erickson-Elphinstone District, Moose Mountain Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.370361328125,\n 46.44542749723387\n ],\n [\n -103.370361328125,\n 50.078294547389426\n ],\n [\n -98.887939453125,\n 50.078294547389426\n ],\n [\n -98.887939453125,\n 46.44542749723387\n ],\n [\n -103.370361328125,\n 46.44542749723387\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"387","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"565ec4afe4b071e7ea54440f","chorus":{"doi":"10.1016/j.chemgeo.2014.08.023","url":"http://dx.doi.org/10.1016/j.chemgeo.2014.08.023","publisher":"Elsevier BV","authors":"Goldhaber Martin B., Mills Christopher T., Morrison Jean M., Stricker Craig A., Mushet David M., LaBaugh James W.","journalName":"Chemical Geology","publicationDate":"11/2014","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Goldhaber, Martin B. 0000-0002-1785-4243 mgold@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-4243","contributorId":1339,"corporation":false,"usgs":true,"family":"Goldhaber","given":"Martin","email":"mgold@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":580795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Christopher T. 0000-0001-8414-1414 cmills@usgs.gov","orcid":"https://orcid.org/0000-0001-8414-1414","contributorId":150137,"corporation":false,"usgs":true,"family":"Mills","given":"Christopher T.","email":"cmills@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":580791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morrison, Jean M. 0000-0002-6614-8783 jmorrison@usgs.gov","orcid":"https://orcid.org/0000-0002-6614-8783","contributorId":994,"corporation":false,"usgs":true,"family":"Morrison","given":"Jean","email":"jmorrison@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":580794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":580792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":580793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LaBaugh, James W. 0000-0002-4112-2536 jlabaugh@usgs.gov","orcid":"https://orcid.org/0000-0002-4112-2536","contributorId":1311,"corporation":false,"usgs":true,"family":"LaBaugh","given":"James","email":"jlabaugh@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":580796,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159504,"text":"70159504 - 2014 - A new method of snowmelt sampling for water stable isotopes","interactions":[],"lastModifiedDate":"2015-11-10T10:48:03","indexId":"70159504","displayToPublicDate":"2015-11-01T00:00:00","publicationYear":"2014","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":"A new method of snowmelt sampling for water stable isotopes","docAbstract":"We modified a passive capillary sampler (PCS) to collect snowmelt water for isotopic analysis. Past applications of PCSs have been to sample soil water, but the novel aspect of this study was the placement of the PCSs at the ground-snowpack interface to collect snowmelt. We deployed arrays of PCSs at 11 sites in ten partner countries on five continents representing a range of climate and snow cover worldwide. The PCS reliably collected snowmelt at all sites and caused negligible evaporative fractionation effects in the samples. PCS is low-cost, easy to install, and collects a representative integrated snowmelt sample throughout the melt season or at the melt event scale. Unlike snow cores, the PCS collects the water that would actually infiltrate the soil; thus, its isotopic composition is appropriate to use for tracing snowmelt water through the hydrologic cycle. The purpose of this Briefing is to show the potential advantages of PCSs and recommend guidelines for constructing and installing them based on our preliminary results from two snowmelt seasons.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10273","usgsCitation":"Penna, D., Ahmad, M., Birks, S.J., Bouchaou, L., Brencic, M., Butt, S., Holko, L., Jeelani, G., Martinez, D.E., Melikadze, G., Shanley, J.B., Sokratov, S.A., Stadnyk, T., Sugimoto, A., and Vreca, P., 2014, A new method of snowmelt sampling for water stable isotopes: Hydrological Processes, v. 28, no. 22, p. 5637-5644, https://doi.org/10.1002/hyp.10273.","productDescription":"8 p.","startPage":"5637","endPage":"5644","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057208","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":502447,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11336/34420","text":"External Repository"},{"id":311152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina, Canada, Georgia, Italy, Morocco, Pakistan, Russia, Slovakia, Slovenia, United States","volume":"28","issue":"22","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-15","publicationStatus":"PW","scienceBaseUri":"56432339e4b0aafbcd017fc2","contributors":{"authors":[{"text":"Penna, D.","contributorId":149728,"corporation":false,"usgs":false,"family":"Penna","given":"D.","email":"","affiliations":[{"id":17793,"text":"University of Padova, Italy","active":true,"usgs":false}],"preferred":false,"id":579272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahmad, M.","contributorId":149729,"corporation":false,"usgs":false,"family":"Ahmad","given":"M.","email":"","affiliations":[{"id":17794,"text":"International Atomic Energy Agency","active":true,"usgs":false}],"preferred":false,"id":579273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Birks, S. J.","contributorId":149730,"corporation":false,"usgs":false,"family":"Birks","given":"S.","email":"","middleInitial":"J.","affiliations":[{"id":17795,"text":"Alberta Innovates, Canada","active":true,"usgs":false}],"preferred":false,"id":579274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouchaou, L.","contributorId":149731,"corporation":false,"usgs":false,"family":"Bouchaou","given":"L.","email":"","affiliations":[{"id":17796,"text":"University Ibn Zohrof Agadir, Morocco","active":true,"usgs":false}],"preferred":false,"id":579275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brencic, M.","contributorId":149732,"corporation":false,"usgs":false,"family":"Brencic","given":"M.","email":"","affiliations":[{"id":17797,"text":"Unversity of Ljubliana, Slovenia","active":true,"usgs":false}],"preferred":false,"id":579276,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butt, S.","contributorId":149733,"corporation":false,"usgs":false,"family":"Butt","given":"S.","email":"","affiliations":[{"id":17798,"text":"Pakisatan Institute of Nuclear Science and Technology","active":true,"usgs":false}],"preferred":false,"id":579277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holko, L.","contributorId":149734,"corporation":false,"usgs":false,"family":"Holko","given":"L.","email":"","affiliations":[{"id":17799,"text":"Slovak Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":579278,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jeelani, G.","contributorId":149735,"corporation":false,"usgs":false,"family":"Jeelani","given":"G.","affiliations":[{"id":17800,"text":"University of Kashmir, Srinagar, India","active":true,"usgs":false}],"preferred":false,"id":579279,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Martinez, D. E.","contributorId":149736,"corporation":false,"usgs":false,"family":"Martinez","given":"D.","email":"","middleInitial":"E.","affiliations":[{"id":17801,"text":"National University of Plata del Mar, Argentina","active":true,"usgs":false}],"preferred":false,"id":579280,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Melikadze, G.","contributorId":149737,"corporation":false,"usgs":false,"family":"Melikadze","given":"G.","email":"","affiliations":[{"id":17802,"text":"Tbilisi State University, Tbilisi, Georgia","active":true,"usgs":false}],"preferred":false,"id":579281,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shanley, J. B.","contributorId":52226,"corporation":false,"usgs":true,"family":"Shanley","given":"J.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":579271,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sokratov, S. A.","contributorId":149738,"corporation":false,"usgs":false,"family":"Sokratov","given":"S.","email":"","middleInitial":"A.","affiliations":[{"id":17803,"text":"Moscow State University, Russia","active":true,"usgs":false}],"preferred":false,"id":579282,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stadnyk, T.","contributorId":149739,"corporation":false,"usgs":false,"family":"Stadnyk","given":"T.","email":"","affiliations":[{"id":17804,"text":"University of Manitoba, Canada","active":true,"usgs":false}],"preferred":false,"id":579283,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sugimoto, A.","contributorId":149740,"corporation":false,"usgs":false,"family":"Sugimoto","given":"A.","email":"","affiliations":[{"id":17805,"text":"Hokkaido University, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":579284,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Vreca, P.","contributorId":149741,"corporation":false,"usgs":false,"family":"Vreca","given":"P.","email":"","affiliations":[{"id":17806,"text":"Jožef Stefan Institute, Ljubljana, Slovenia","active":true,"usgs":false}],"preferred":false,"id":579285,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70173438,"text":"70173438 - 2014 - The importance of context dependency for understanding the effects of low flow events on fish","interactions":[],"lastModifiedDate":"2016-06-20T14:58:26","indexId":"70173438","displayToPublicDate":"2015-10-22T18:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"The importance of context dependency for understanding the effects of low flow events on fish","docAbstract":"The natural hydrology of streams and rivers has been extensively altered by dam construction, water diversion, and climate change. An increased frequency of low-flow events will affect fish by changing habitat availability, resource availability, and reproductive cues. I reviewed the literature to characterize the approaches taken to assess low-flow events and fish, the main effects of low-flow events on fish, and the associated mechanistic drivers. Most studies are focused on temperate streams and are comparative in nature. Decreased stream flow is associated with decreased survival, growth, and abundance of fish populations and shifts in community composition, but effects are variable. This variability in effects is probably caused by context dependence. I propose 3 main sources of context dependence that drive the variation in fish responses to low-flow events: attributes of the low-flow event, attributes of the habitat, and attributes of the fish. Awareness of these sources of context dependence can help managers interpret and explain data, predict vulnerability of fish communities, and prioritize appropriate management actions.
","language":"English","publisher":"University of Chicago","doi":"10.1086/683831","usgsCitation":"Walters, A.W., 2014, The importance of context dependency for understanding the effects of low flow events on fish: Freshwater Science, v. 35, no. 1, p. 216-228, https://doi.org/10.1086/683831.","productDescription":"12 p.","startPage":"216","endPage":"228","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055923","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":324030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913ece4b07657d19ff2a0","contributors":{"authors":[{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637132,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70040681,"text":"70040681 - 2014 - Metal stable isotopes in weathering and hydrology","interactions":[],"lastModifiedDate":"2020-05-14T18:18:53.419076","indexId":"70040681","displayToPublicDate":"2015-07-07T09:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"10","title":"Metal stable isotopes in weathering and hydrology","docAbstract":"This chapter highlights some of the major developments in the understanding of the causes of metal stable isotope compositional variability in and isotope fractionation between natural materials and provides numerous examples of how that understanding is providing new insights into weathering and hydrology. At this stage, our knowledge of causes of stable isotope compositional variability among natural materials is greatest for the metals lithium, magnesium, calcium, and iron, the isotopes of which have already provided important information on weathering and hydrological processes. Stable isotope compositional variability for other metals such as strontium, copper, zinc, chromium, barium, molybdenum, mercury, cadmium, and nickel has been demonstrated but is only beginning to be applied to questions related to weathering and hydrology, and several research groups are currently exploring the potential. And then there are other metals such as titanium, vanadium, rhenium, and tungsten that have yet to be explored for variability of stable isotope composition in natural materials, but which may hold untold surprises in their utility. This impressive list of metals having either demonstrated or potential stable isotope signals that could be used to address important unsolved questions related to weathering and hydrology, constitutes a powerful toolbox that will be increasingly utilized in the coming decades.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Treatise on Geochemistry","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elselvier","doi":"10.1016/B978-0-08-095975-7.00511-8","usgsCitation":"Bullen, T.D., 2014, Metal stable isotopes in weathering and hydrology, chap. 10 of Treatise on Geochemistry, v. 7, p. 329-359, https://doi.org/10.1016/B978-0-08-095975-7.00511-8.","productDescription":"31 p.","startPage":"329","endPage":"359","numberOfPages":"31","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042118","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":311146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","edition":"Second","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5643234ee4b0aafbcd01801f","contributors":{"editors":[{"text":"Holland, Heinrich","contributorId":149786,"corporation":false,"usgs":false,"family":"Holland","given":"Heinrich","email":"","affiliations":[],"preferred":false,"id":579567,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Turekian, K.","contributorId":111688,"corporation":false,"usgs":true,"family":"Turekian","given":"K.","email":"","affiliations":[],"preferred":false,"id":579568,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Bullen, Thomas D. 0000-0003-2281-1691 tdbullen@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-1691","contributorId":1969,"corporation":false,"usgs":true,"family":"Bullen","given":"Thomas","email":"tdbullen@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":579566,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148494,"text":"70148494 - 2014 - Evaluating effects of Everglades restoration on American crocodile populations in south Florida using a spatially-explicit, stage-based population model","interactions":[],"lastModifiedDate":"2018-12-06T13:20:34","indexId":"70148494","displayToPublicDate":"2015-06-10T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating effects of Everglades restoration on American crocodile populations in south Florida using a spatially-explicit, stage-based population model","docAbstract":"The distribution and abundance of the American crocodile (Crocodylus acutus) in the Florida Everglades is dependent on the timing, amount, and location of freshwater flow. One of the goals of the Comprehensive Everglades Restoration Plan (CERP) is to restore historic freshwater flows to American crocodile habitat throughout the Everglades. To predict the impacts on the crocodile population from planned restoration activities, we created a stage-based spatially explicit crocodile population model that incorporated regional hydrology models and American crocodile research and monitoring data. Growth and survival were influenced by salinity, water depth, and density-dependent interactions. A stage-structured spatial model was used with discrete spatial convolution to direct crocodiles toward attractive sources where conditions were favorable. The model predicted that CERP would have both positive and negative impacts on American crocodile growth, survival, and distribution. Overall, crocodile populations across south Florida were predicted to decrease approximately 3 % with the implementation of CERP compared to future conditions without restoration, but local increases up to 30 % occurred in the Joe Bay area near Taylor Slough, and local decreases up to 30 % occurred in the vicinity of Buttonwood Canal due to changes in salinity and freshwater flows.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-012-0370-0","usgsCitation":"Green, T.W., Slone, D.H., Swain, E.D., Cherkiss, M.S., Lohmann, M., Mazzotti, F., and Rice, K.G., 2014, Evaluating effects of Everglades restoration on American crocodile populations in south Florida using a spatially-explicit, stage-based population model: Wetlands, v. 34, no. 1, p. S213-S224, https://doi.org/10.1007/s13157-012-0370-0.","productDescription":"12 p.","startPage":"S213","endPage":"S224","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027207","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":301117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Cape Sable-Buttonwood Canal, Joe Bay, Taylor Slough","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.94314575195312,\n 25.069429002821355\n ],\n [\n -81.024169921875,\n 25.224820176765036\n ],\n [\n -80.4583740234375,\n 25.342784905654565\n ],\n [\n -80.41580200195312,\n 25.197485682706866\n ],\n [\n -80.94314575195312,\n 25.069429002821355\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"1","publishingServiceCenter":{"id":7,"text":"Ft. Lauderdale PSC"},"noUsgsAuthors":false,"publicationDate":"2013-03-14","publicationStatus":"PW","scienceBaseUri":"557951b1e4b032353cc173f3","contributors":{"authors":[{"text":"Green, Timothy W.","contributorId":58672,"corporation":false,"usgs":true,"family":"Green","given":"Timothy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":548420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":205617,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel","email":"dslone@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":753279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherkiss, Michael S. 0000-0002-7802-6791 mcherkiss@usgs.gov","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":4571,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","email":"mcherkiss@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":548423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lohmann, Melinda 0000-0003-1472-159X mlohmann@usgs.gov","orcid":"https://orcid.org/0000-0003-1472-159X","contributorId":2971,"corporation":false,"usgs":true,"family":"Lohmann","given":"Melinda","email":"mlohmann@usgs.gov","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":548424,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":548425,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":548426,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70138206,"text":"70138206 - 2014 - Ice sheet load cycling and fluid underpressures in the Eastern Michigan Basin, Ontario, Canada","interactions":[],"lastModifiedDate":"2015-02-02T14:42:41","indexId":"70138206","displayToPublicDate":"2015-01-15T13:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Ice sheet load cycling and fluid underpressures in the Eastern Michigan Basin, Ontario, Canada","docAbstract":"Strong fluid underpressures have been detected in Paleozoic strata in the eastern Michigan Basin, with hydraulic heads reaching ~400 m below land surface (~4 MPa underpressure) and ~200 m below sea level in strata where unusually low permeabilities (~10−20–10−23 m2) were measured in situ. Multiple glaciations, including three with as much as 3 km of ice cover at the site in the last 120 ka, suggest a causal link with the underpressures. We examined this possibility using a one-dimensional groundwater flow model incorporating mechanical loading from both ice weight and lithospheric flexure. Because hydrologic and mechanical changes during glaciation are not well characterized and subsurface properties are imperfectly known, the model was used inversely to estimate flexural loads and loosely constrained permeabilities by matching observed pressures. Acceptable matches were obtained for a surprisingly wide range of scenarios with permeabilities close to measured values and plausible flexural loads. Matches were not obtained when too many parameters were preselected, or when permeabilities were constrained to be significantly larger than measured values. In successful model runs groundwater expulsion under glacial-mechanical loads caused the underpressuring, and flexural loads were important if aquifer and sub-glacial pressures were significantly elevated during glaciation. Simulated fluid pressures in the low-permeability strata fluctuated by 30–40 MPa during glacial cycles but resulted in advective transport of only tens of meters or less. Although other mechanisms cannot be ruled out, we conclude that glacial-mechanical forcing of a water-saturated system can explain the observed underpressures.
","language":"English","publisher":"Wiley-Blackwell Publishing, Inc.","doi":"10.1002/2014JB011643","usgsCitation":"Neuzil, C.E., and Provost, A.M., 2014, Ice sheet load cycling and fluid underpressures in the Eastern Michigan Basin, Ontario, Canada: Journal of Geophysical Research B: Solid Earth, v. 119, no. 12, p. 8748-8769, https://doi.org/10.1002/2014JB011643.","productDescription":"22 p.","startPage":"8748","endPage":"8769","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060238","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472518,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jb011643","text":"Publisher Index Page"},{"id":297302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario","otherGeospatial":"Eastern Michigan Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.296875,\n 40.54720023441049\n ],\n [\n -89.296875,\n 47.7097615426664\n ],\n [\n -76.9921875,\n 47.7097615426664\n ],\n [\n -76.9921875,\n 40.54720023441049\n ],\n [\n -89.296875,\n 40.54720023441049\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-14","publicationStatus":"PW","scienceBaseUri":"54dd2a87e4b08de9379b30d3","contributors":{"authors":[{"text":"Neuzil, Christopher E. 0000-0003-2022-4055 ceneuzil@usgs.gov","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":2322,"corporation":false,"usgs":true,"family":"Neuzil","given":"Christopher","email":"ceneuzil@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":538611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Provost, Alden M. 0000-0002-4443-1107 aprovost@usgs.gov","orcid":"https://orcid.org/0000-0002-4443-1107","contributorId":2830,"corporation":false,"usgs":true,"family":"Provost","given":"Alden","email":"aprovost@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":538612,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70134080,"text":"sir20145219 - 2014 - Flood-inundation maps for the White River near Edwardsport, Indiana","interactions":[],"lastModifiedDate":"2015-01-14T13:40:48","indexId":"sir20145219","displayToPublicDate":"2015-01-14T13:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5219","title":"Flood-inundation maps for the White River near Edwardsport, Indiana","docAbstract":"Digital flood-inundation maps for a 3.3-mile reach of the White River near Edwardsport, (Ind.), were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at USGS streamgage 03360730, White River near Edwardsport, Ind. Near-real-time stages at this streamgage may be obtained from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service Advanced Hydrologic Prediction Service at http://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site (site EDWI3.)
\nFlood profiles were computed for the White River near Edwardsport reach by means of a one-dimensional step-back-water model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the most current stage-discharge relations at USGS streamgage 03360730, White River near Edwardsport, Ind., and high-water marks from the flood of April 2013. The calibrated hydraulic model was then used to determine 19 water-surface profiles for flood stages at approximately 1-foot intervals referenced to the streamgage datum and ranging from bankfull to the highest stage of the current stage-discharge rating curve. The simulated water-surface profiles were then combined with a geographic information system digital elevation model to delineate the area flooded at each water level.
\nThe availability of these maps, along with Internet information regarding current stage from the USGS streamgage 03360730 White River near Edwardsport, Ind., and forecasted stream stages from the National Weather Service, provides emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145219","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Fowler, K.K., 2014, Flood-inundation maps for the White River near Edwardsport, Indiana: U.S. Geological Survey Scientific Investigations Report 2014-5219, Report: iv, 11 p.; Downloads Directory, https://doi.org/10.3133/sir20145219.","productDescription":"Report: iv, 11 p.; Downloads Directory","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-025600","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":297244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145219.jpg"},{"id":297242,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5219/pdf/sir2014-5219.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297241,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5219/"},{"id":297243,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5219/downloads/gis_data","text":"Downloads Directory","description":"Downloads Directory","linkHelpText":"Contains: geospatial database. Refer to the Readme and Metadata files for more information."}],"projection":"Indiana State Plane Eastern Zone","datum":"North American Datum of 1983","country":"United States","state":"Indiana","city":"Edwardsport","otherGeospatial":"White River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.26800918579102,\n 38.770948699444624\n ],\n [\n -87.26800918579102,\n 38.833824233697726\n ],\n [\n -87.20312118530273,\n 38.833824233697726\n ],\n [\n -87.20312118530273,\n 38.770948699444624\n ],\n [\n -87.26800918579102,\n 38.770948699444624\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a78e4b08de9379b308b","contributors":{"authors":[{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525682,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70135683,"text":"ofr20131024G - 2014 - Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California","interactions":[{"subject":{"id":70135683,"text":"ofr20131024G - 2014 - Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California","indexId":"ofr20131024G","publicationYear":"2014","noYear":false,"chapter":"G","displayTitle":"Airborne Electromagnetic Data and Processing within Leach Lake Basin, Fort Irwin, California","title":"Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":1}],"isPartOf":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"lastModifiedDate":"2018-12-14T12:12:21","indexId":"ofr20131024G","displayToPublicDate":"2015-01-12T16:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1024","chapter":"G","displayTitle":"Airborne Electromagnetic Data and Processing within Leach Lake Basin, Fort Irwin, California","title":"Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California","docAbstract":"From December 2010 to January 2011, the U.S. Geological Survey conducted airborne electromagnetic and magnetic surveys of Leach Lake Basin within the National Training Center, Fort Irwin, California. These data were collected to characterize the subsurface and provide information needed to understand and manage groundwater resources within Fort Irwin. A resistivity stratigraphy was developed using ground-based time-domain electromagnetic soundings together with laboratory resistivity measurements on hand samples and borehole geophysical logs from nearby basins. This report releases data associated with the airborne surveys, as well as resistivity cross-sections and depth slices derived from inversion of the airborne electromagnetic data. The resulting resistivity models confirm and add to the geologic framework, constrain the hydrostratigraphy and the depth to basement, and reveal the distribution of faults and folds within the basin.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131024G","collaboration":"Prepared in cooperation with the U.S. Army, Fort Irwin National Training Center","usgsCitation":"Bedrosian, P.A., Ball, L.B., and Bloss, B.R., 2014, Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California, chap. G of Buesch, D.C., ed., Geology and geophysics applied to groundwater hydrology at Fort Irwin, California: U.S. Geological Survey Open File Report 2013–1024, 20 p., \nhttps://doi.org/10.3133/ofr20131024G.","productDescription":"Report: vi, 20 p.; 2 Appendixes","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059815","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":297138,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1024/g/downloads/OFR2013-1024-G.pdf","text":"Report","size":"16.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297139,"rank":2,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1024/g/downloads/ofr2013-1024-g_appendix_a.pdf","text":"Appendix A","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1024/g/images/coverthb.jpg"},{"id":297140,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1024/g/downloads/ofr2014-2014-g_appendix_b.zip","text":"Appendix B","size":"1.9 GB","linkFileType":{"id":6,"text":"zip"}}],"country":"United States","state":"California","county":"San Bernardino County","city":"Fort Irwin","contact":"Contact Information,
Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
Kaloko-Honokōhau National Historical Park (KAHO) is a coastal sanctuary on the western side of the Island of Hawai‘i that was established in 1978 to preserve, interpret, and perpetuate traditional Native Hawaiian culture and activities. KAHO contains a variety of culturally and ecologically significant water resources and water-related habitat for species that have been declared as threatened or endangered by the U.S. Fish and Wildlife Service, or are candidate threatened or endangered species. These habitats are dependent on coastal unconfined groundwater in a freshwater-lens system. The coastal unconfined-groundwater system is recharged by local infiltration of rainfall but also may receive recharge from an inland groundwater system containing groundwater impounded to high altitudes. The area inland of and near KAHO is being rapidly urbanized and increased groundwater withdrawals from the inland impounded-groundwater system may affect habitat and water quality in KAHO, depending on the extent of connection between the coastal unconfined groundwater and inland impounded-groundwater. An investigation of the geochemistry of surface-water and groundwater samples in and near KAHO was performed to evaluate the presence or absence of a connection between the inland impounded- and coastal unconfined-groundwater systems in the area. Analyses of major ions, selected trace elements, rare-earth elements, and strontium-isotope ratio results from ocean, fishpond, anchialine pool, and groundwater samples were consistent with a linear mixing process between the inland impounded and coastal unconfined-groundwater systems. Stable isotopes of water in many samples from the coastal unconfined-groundwater system require an aggregate recharge altitude that is substantially higher than the boundary between the coastal unconfined and inland impounded systems, a further indication of a hydrologic connection between the two systems. The stable isotope composition of the freshwater component of water samples from KAHO indicates that about 25–70% of the freshwater is derived from the inland impounded system.
","language":"English","publisher":"Elseiver","doi":"10.1016/j.apgeochem.2014.10.003","usgsCitation":"Tillman, F., Oki, D.S., Johnson, A.G., Barber, L.B., and Beisner, K.R., 2014, Investigation of geochemical indicators to evaluate the connection between inland and coastal groundwater systems near Kaloko-Honokōhau National Historical Park, Hawai‘i: Applied Geochemistry, v. 51, p. 278-292, https://doi.org/10.1016/j.apgeochem.2014.10.003.","productDescription":"15 p.","startPage":"278","endPage":"292","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057293","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":472521,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2014.10.003","text":"Publisher Index Page"},{"id":297086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaloko-Honokōhau National Historical Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.08001708984375,\n 19.42126831604998\n ],\n [\n -156.08001708984375,\n 19.73697619787738\n ],\n [\n -155.84999084472656,\n 19.73697619787738\n ],\n [\n -155.84999084472656,\n 19.42126831604998\n ],\n [\n -156.08001708984375,\n 19.42126831604998\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a8ce4b08de9379b30ea","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":1629,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred D.","email":"ftillman@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oki, Delwyn S. 0000-0002-6913-8804 dsoki@usgs.gov","orcid":"https://orcid.org/0000-0002-6913-8804","contributorId":1901,"corporation":false,"usgs":true,"family":"Oki","given":"Delwyn","email":"dsoki@usgs.gov","middleInitial":"S.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Adam G. 0000-0003-2448-5746 ajohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-2448-5746","contributorId":4752,"corporation":false,"usgs":true,"family":"Johnson","given":"Adam","email":"ajohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":537805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beisner, Kimberly R. 0000-0002-2077-6899 kbeisner@usgs.gov","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":2733,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","email":"kbeisner@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537806,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70137397,"text":"70137397 - 2014 - A data reconnaissance on the effect of suspended-sediment concentrations on dissolved-solids concentrations in rivers and tributaries in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2020-12-10T13:26:46.541317","indexId":"70137397","displayToPublicDate":"2015-01-08T09:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"A data reconnaissance on the effect of suspended-sediment concentrations on dissolved-solids concentrations in rivers and tributaries in the Upper Colorado River Basin","docAbstract":"The Colorado River is one of the most important sources of water in the western United States, supplying water to over 35 million people in the U.S. and 3 million people in Mexico. High dissolved-solids loading to the River and tributaries are derived primarily from geologic material deposited in inland seas in the mid-to-late Cretaceous Period, but this loading may be increased by human activities. High dissolved solids in the River causes substantial damages to users, primarily in reduced agricultural crop yields and corrosion. The Colorado River Basin Salinity Control Program was created to manage dissolved-solids loading to the River and has focused primarily on reducing irrigation-related loading from agricultural areas. This work presents a reconnaissance of existing data from sites in the Upper Colorado River Basin (UCRB) in order to highlight areas where suspended-sediment control measures may be useful in reducing dissolved-solids concentrations. Multiple linear regression was used on data from 164 sites in the UCRB to develop dissolved-solids models that include combinations of explanatory variables of suspended sediment, flow, and time. Results from the partial t-test, overall likelihood ratio, and partial likelihood ratio on the models were used to group the sites into categories of strong, moderate, weak, and no-evidence of a relation between suspended-sediment and dissolved-solids concentrations. Results show 68 sites have strong or moderate evidence of a relation, with drainage areas for many of these sites composed of a large percentage of clastic sedimentary rocks. These results could assist water managers in the region in directing field-scale evaluation of suspended-sediment control measures to reduce UCRB dissolved-solids loading.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.08.020","usgsCitation":"Tillman, F., and Anning, D.W., 2014, A data reconnaissance on the effect of suspended-sediment concentrations on dissolved-solids concentrations in rivers and tributaries in the Upper Colorado River Basin: Journal of Hydrology, v. 519, no. Part A, p. 1020-1030, https://doi.org/10.1016/j.jhydrol.2014.08.020.","productDescription":"11 p.","startPage":"1020","endPage":"1030","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051914","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":297066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.9951171875,\n 43.723474896114794\n ],\n [\n -109.92919921875,\n 43.51668853502909\n ],\n [\n -109.92919921875,\n 43.35713822211053\n ],\n [\n -109.62158203125,\n 43.213183300738876\n ],\n [\n -109.27001953125,\n 43.13306116240612\n ],\n [\n -108.67675781249999,\n 43.08493742707592\n ],\n [\n -107.99560546875,\n 42.81152174509788\n ],\n [\n -107.46826171874999,\n 42.569264372193864\n ],\n [\n -106.94091796875,\n 42.114523952464246\n ],\n [\n -106.69921875,\n 41.88592102814744\n ],\n [\n -106.58935546875,\n 41.45919537950706\n ],\n [\n -106.58935546875,\n 41.37680856570233\n ],\n [\n -106.54541015625,\n 41.19518982948959\n ],\n [\n -106.45751953125,\n 40.93011520598305\n ],\n [\n -106.3037109375,\n 40.697299008636755\n ],\n [\n -106.01806640624999,\n 40.58058466412764\n ],\n [\n -105.908203125,\n 40.29628651711716\n ],\n [\n -106.19384765625,\n 39.65645604812829\n ],\n [\n -106.61132812499999,\n 39.36827914916011\n ],\n [\n -106.962890625,\n 39.027718840211605\n ],\n [\n -106.80908203125,\n 38.788345355085625\n ],\n [\n -106.72119140625,\n 38.42777351132905\n ],\n [\n -106.67724609375,\n 38.23818011979866\n ],\n [\n -106.80908203125,\n 37.97884504049713\n ],\n [\n -107.33642578124999,\n 37.87485339352928\n ],\n [\n -107.666015625,\n 37.64903402157866\n ],\n [\n -107.38037109375,\n 37.50972584293751\n ],\n [\n -106.9189453125,\n 37.24782120155428\n ],\n [\n -106.85302734374999,\n 36.80928470205937\n ],\n [\n -106.875,\n 36.686041276581925\n ],\n [\n -106.875,\n 36.421282443649496\n ],\n [\n -106.962890625,\n 35.71083783530009\n ],\n [\n -107.20458984375,\n 35.35321610123821\n ],\n [\n -107.46826171874999,\n 34.542762387234845\n ],\n [\n -107.64404296875,\n 33.96158628979907\n ],\n [\n -108.17138671875,\n 33.35806161277885\n ],\n [\n -108.96240234375,\n 33.30298618122413\n ],\n [\n -109.1162109375,\n 33.44977658311846\n ],\n [\n -109.75341796875,\n 33.779147331286474\n ],\n [\n -110.58837890625,\n 34.66935854524545\n ],\n [\n -111.4453125,\n 35.04798673426734\n ],\n [\n -112.21435546875,\n 35.209721645221386\n ],\n [\n -113.09326171875,\n 35.639441068973916\n ],\n [\n -113.40087890624999,\n 36.03133177633189\n ],\n [\n -113.51074218749999,\n 36.86204269508728\n ],\n [\n -113.26904296874999,\n 37.24782120155428\n ],\n [\n -112.91748046874999,\n 37.71859032558816\n ],\n [\n -112.82958984375,\n 37.84015683604136\n ],\n [\n -112.60986328125,\n 38.1172716583054\n ],\n [\n -112.54394531249999,\n 38.34165619279595\n ],\n [\n -112.54394531249999,\n 38.71980474264239\n ],\n [\n -112.30224609374999,\n 38.89103282648849\n ],\n [\n -112.236328125,\n 39.06184913429154\n ],\n [\n -111.90673828125,\n 39.40224434029275\n ],\n [\n -111.8463134765625,\n 39.91394967016644\n ],\n [\n -111.70898437499999,\n 40.111688665595956\n ],\n [\n -111.6265869140625,\n 40.26695230509778\n ],\n [\n -111.3958740234375,\n 40.55554790286311\n ],\n [\n -111.37390136718749,\n 40.751418432997426\n ],\n [\n -111.3189697265625,\n 40.96330795307353\n ],\n [\n -111.20361328125,\n 40.979898069620155\n ],\n [\n -111.082763671875,\n 41.054501963290505\n ],\n [\n -110.972900390625,\n 41.20345619205129\n ],\n [\n -110.91796875,\n 41.24890252240322\n ],\n [\n -110.819091796875,\n 41.508577297439324\n ],\n [\n -110.76416015625,\n 41.80407814427237\n ],\n [\n -110.72021484375,\n 42.36666166373274\n ],\n [\n -110.731201171875,\n 42.80346172417078\n ],\n [\n -110.599365234375,\n 43.25320494908846\n ],\n [\n -110.56640625,\n 43.389081939117496\n ],\n [\n -110.50048828124999,\n 43.620170616189924\n ],\n [\n -110.445556640625,\n 43.723474896114794\n ],\n [\n -110.32470703125,\n 43.74728909225906\n ],\n [\n -110.14892578125,\n 43.74728909225906\n ],\n [\n -109.9951171875,\n 43.723474896114794\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"519","issue":"Part A","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a4ae4b08de9379b2fc2","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":1629,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred D.","email":"ftillman@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anning, David W. dwanning@usgs.gov","contributorId":432,"corporation":false,"usgs":true,"family":"Anning","given":"David","email":"dwanning@usgs.gov","middleInitial":"W.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537808,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70133600,"text":"fs20143117 - 2014 - Data and spatial studies of the USGS Texas Water Science Center","interactions":[],"lastModifiedDate":"2016-08-05T12:04:40","indexId":"fs20143117","displayToPublicDate":"2015-01-03T11:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3117","title":"Data and spatial studies of the USGS Texas Water Science Center","docAbstract":"Hydrologists, geographers, geophysicists, and geologists with the U.S. Geological Survey (USGS) Texas Water Science Center (TXWSC) work in the USGS Water Mission Area on a diverse range of projects built on a foundation of spatial data. The TXWSC has developed sophisticated data and spatial-studies-related capabilities that are an integral part of the projects undertaken by the Center.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143117","usgsCitation":"Burley, T.E., 2014, Data and spatial studies of the USGS Texas Water Science Center: U.S. Geological Survey Fact Sheet 2014-3117, 4 p., https://doi.org/10.3133/fs20143117.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060637","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":296978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143117.jpg"},{"id":296977,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3117/pdf/fs2014-3117.pdf","size":"1.12 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296974,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3117/"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.74316406249999,\n 25.859223554761407\n ],\n [\n -106.74316406249999,\n 36.527294814546245\n ],\n [\n -93.40576171875,\n 36.527294814546245\n ],\n [\n -93.40576171875,\n 25.859223554761407\n ],\n [\n -106.74316406249999,\n 25.859223554761407\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a62e4b08de9379b3030","contributors":{"authors":[{"text":"Burley, Thomas E. 0000-0002-2235-8092 teburley@usgs.gov","orcid":"https://orcid.org/0000-0002-2235-8092","contributorId":3499,"corporation":false,"usgs":true,"family":"Burley","given":"Thomas","email":"teburley@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537543,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70155852,"text":"70155852 - 2014 - Nitrogen transport within an agricultural landscape: insights on how hydrology, biogeochemistry, and the landscape intersect to control the fate and transport of nitrogen in the Mississippi Delta","interactions":[],"lastModifiedDate":"2015-08-13T09:31:04","indexId":"70155852","displayToPublicDate":"2015-01-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen transport within an agricultural landscape: insights on how hydrology, biogeochemistry, and the landscape intersect to control the fate and transport of nitrogen in the Mississippi Delta","docAbstract":"Nitrogen (N) is a ubiquitous contaminant throughout agricultural landscapes due to both the application of inorganic and organic fertilizers to agricultural fields and the general persistence of nitrate (NO3 ) in oxygenated aqueous environments (Denver et al. 2010; Domagalski et al. 2008; Green et al. 2008; Coupe 2001; Nolan and Stoner 2000). In order to understand why excess N occurs various hydrologic systems (environments), it is important to consider potential sources, the locations of these sources in the watershed, and the timing of the application of sources with respect to the movement of water. To learn how to manage N in a watershed, it is necessary to identify and quantify flow paths and biogeochemical conditions, which ultimately combine to determine transport and fate. If sources, transport mechanisms, and biogeochemical controls were uniformly distributed, it would be possible to manage N uniformly throughout a watershed. However, uniform conditions are rare to nonexistent in the natural world and in the landscape altered for agricultural production. In order to adjust management activities on the landscape to have the greatest effect, it is important to understand the fate and transport N within the intersection of hydrology and biogeochemistry, that is, to understand the extent and duration of the hydrologic and biogeochemical controls as N is routed through and among each hydrologic compartment.
","language":"English","publisher":"Soil and Water Conservation Society","publisherLocation":"Ankeny, IA","doi":"10.2489/jswc.69.1.11A","usgsCitation":"Barlow, J.R., and Kröger, R., 2014, Nitrogen transport within an agricultural landscape: insights on how hydrology, biogeochemistry, and the landscape intersect to control the fate and transport of nitrogen in the Mississippi Delta: Journal of Soil and Water Conservation, v. 69, no. 1, p. 11A-16A, https://doi.org/10.2489/jswc.69.1.11A.","productDescription":"6 p.","startPage":"11A","endPage":"16A","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052573","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":306625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi Delta","volume":"69","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-06","publicationStatus":"PW","scienceBaseUri":"55cdbfbae4b08400b1fe1423","contributors":{"authors":[{"text":"Barlow, Jeannie R. B. 0000-0002-0799-4656 jbarlow@usgs.gov","orcid":"https://orcid.org/0000-0002-0799-4656","contributorId":3701,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"jbarlow@usgs.gov","middleInitial":"R. B.","affiliations":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kröger, Robert","contributorId":146206,"corporation":false,"usgs":false,"family":"Kröger","given":"Robert","affiliations":[{"id":16626,"text":"Assistant Professor, Aquatic Sciences, College of Forest Resources, Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":566606,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}