{"pageNumber":"113","pageRowStart":"2800","pageSize":"25","recordCount":16449,"records":[{"id":70178095,"text":"70178095 - 2016 - Integrated modeling approach for fate and transport of submerged oil and oil-particle aggregates in a freshwater riverine environment","interactions":[],"lastModifiedDate":"2018-01-08T12:34:57","indexId":"70178095","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Integrated modeling approach for fate and transport of submerged oil and oil-particle aggregates in a freshwater riverine environment","docAbstract":"<p>The Enbridge Line 6B pipeline release of diluted bitumen into the Kalamazoo River downstream of Marshall, Michigan, U.S.A., in July 2010 was one of the largest oil spills into freshwater in North American history. A portion of the oil interacted with river sediment and submerged requiring the development and implementation of new approaches for detection and recovery of oil mixed with river sediment. Hydrodynamic and sediment transport modeling became an integral part of containment and recovery operations for decision support about the potential fate and migration of submerged oil and oiled sediment. Three models were developed for the U.S. Environmental Protection Agency to cover a range of spatial scales of interest to onsite operations. Two-dimensional (2D) hydrodynamic and sediment transport models from the Environmental Fluid Dynamics Code and the sediment bed model SEDZLJ1 were used to simulate potential resuspension, migration, and deposition of submerged oil and oiled sediment along a 38-mile reach of the Kalamazoo River affected by the oil from Marshall to Kalamazoo. An algorithm was added to SEDZLJ to represent three additional particle size classes of oilparticle aggregates (OPAs) with a range of sizes, specific gravities, and settling velocities. Field and laboratory experiments and flume tests were done to support the numerical modeling of OPAs. A three-dimensional hydrodynamic model was developed to simulate hydrodynamics and OPA tracking through Morrow Lake, the most downstream impoundment. This model incorporated wind and dam operations into high and low flow, lake drawdown, and containment simulations. Finally, a 2D unstructured grid model, HydroSed2D, was used to simulate flows and sediment transport along 1- to 2-mile segments of the Kalamazoo River around islands and through side channels and backwater areas that are particularly prone to submerged oil deposition.</p><p>Integrated models could be developed quickly due to the availability of information and services combined with spill response operations that included: bathymetry and topography data, fieldbased geomorphic mapping of submerged oil, and discharge measured at U.S. Geological Survey streamflow gauges. Modeling results were included in a multiple-lines-of-evidence approach that was used by the Federal On-Scene Coordinator and operations staff for decision-making related to assessment and recovery of submerged oil, as well as net environmental benefit analysis. Similar modeling approaches will likely be useful for future oil spills in riverine environments.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the joint federal interagency conference 2015","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Joint Federal Interagency Conference 2015","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"Federal Interagency Subcommittees on Hydrology (SOH) and Sedimentation (SOS) under the Advisory Committee on Water Information (ACWI)","usgsCitation":"Fitzpatrick, F.A., Johnson, R., Zhu, Z., Waterman, D., McCulloch, R.D., Hayter, E., Garcia, M., Boufadel, M., Dekker, T., Hassan, J.S., Soong, D., Hoard, C.J., and Lee, K., 2016, Integrated modeling approach for fate and transport of submerged oil and oil-particle aggregates in a freshwater riverine environment, <i>in</i> Proceedings of the joint federal interagency conference 2015, Reno, NV, April 19-23, 2015, p. 1783-1794.","productDescription":"12 p.","startPage":"1783","endPage":"1794","ipdsId":"IP-060868","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":330649,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/index.html"},{"id":339575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Kalamazoo River","publicComments":"Extended title: \"Proceedings of the 5th federal interagency hydrologic modeling conference and the 10th federal interagency sedimentation conference\"","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58edba76e4b0eed1ab8c6f2f","contributors":{"authors":[{"text":"Fitzpatrick, Faith A. 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dsoong@usgs.gov","contributorId":169268,"corporation":false,"usgs":true,"family":"Soong","given":"David T.","email":"dsoong@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":690650,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hoard, Christopher J. 0000-0003-2337-506X cjhoard@usgs.gov","orcid":"https://orcid.org/0000-0003-2337-506X","contributorId":191767,"corporation":false,"usgs":true,"family":"Hoard","given":"Christopher","email":"cjhoard@usgs.gov","middleInitial":"J.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":690651,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lee, Kenneth","contributorId":61064,"corporation":false,"usgs":true,"family":"Lee","given":"Kenneth","affiliations":[],"preferred":false,"id":690652,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70192005,"text":"70192005 - 2016 - Prioritizing landscapes for longleaf pine conservation","interactions":[],"lastModifiedDate":"2018-01-25T13:33:39","indexId":"70192005","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-119-2016","title":"Prioritizing landscapes for longleaf pine conservation","docAbstract":"<p>We developed a spatially explicit model and map, as a decision support tool (DST), to aid conservation agencies creating or maintaining open pine ecosystems. The tool identified areas that are likely to provide the greatest benefit to focal bird populations based on a comprehensive landscape analysis. We used NLCD 2011, SSURGO, and SEGAP data to map the density of desired resources for open pine ecosystems and six focal species of birds and 2 reptiles within the historic range of longleaf pine east of the Mississippi River. Binary rasters were created of sites with desired characteristics such as land form, hydrology, land use and land cover, soils, potential habitat for focal species, and putative source populations of focal species. Each raster was smoothed using a kernel density estimator. Rasters were combined and scaled to map priority locations for the management of each focal species. Species’ rasters were combined and scaled to provide maps of overall priority for birds and for birds and reptiles. The spatial data can be used to identify high priority areas for conservation or to compare areas under consideration for maintenance or creation of open pine ecosystems.</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Grand, J.B., and Kleiner, K.J., 2016, Prioritizing landscapes for longleaf pine conservation: Cooperator Science Series FWS/CSS-119-2016, ii, 50 p.","productDescription":"ii, 50 p.","numberOfPages":"52","ipdsId":"IP-071312","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350617,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/ref/collection/document/id/2131"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac6e4b06e28e9c9a8ff","contributors":{"authors":[{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":713832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleiner, Kevin J.","contributorId":200004,"corporation":false,"usgs":false,"family":"Kleiner","given":"Kevin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":725822,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187351,"text":"70187351 - 2016 - Geomorphic evolution of the San Luis Basin and Rio Grande in southern Colorado and northern New Mexico","interactions":[],"lastModifiedDate":"2017-05-01T15:05:10","indexId":"70187351","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic evolution of the San Luis Basin and Rio Grande in southern Colorado and northern New Mexico","docAbstract":"<p><span>The San Luis Basin encompasses the largest structural and hydrologic basin of the Rio Grande rift. On this field trip, we will examine the timing of transition of the San Luis Basin from hydrologically closed, aggrading subbasins to a continuous fluvial system that eroded the basin, formed the Rio Grande gorge, and ultimately, integrated the Rio Grande from Colorado to the Gulf of Mexico. Waning Pleistocene neotectonic activity and onset of major glacial episodes, in particular Marine Isotope Stages 11–2 (~420–14 ka), induced basin fill, spillover, and erosion of the southern San Luis Basin. The combined use of new geologic mapping, fluvial geomorphology, reinterpreted surficial geology of the Taos Plateau, pedogenic relative dating studies, </span><sup>3</sup><span>He surface exposure dating of basalts, and U-series dating of pedogenic carbonate supports a sequence of events wherein pluvial Lake Alamosa in the northern San Luis Basin overflowed, and began to drain to the south across the closed Sunshine Valley–Costilla Plain region ≤400 ka. By ~200 ka, erosion had cut through topographic highs at Ute Mountain and the Red River fault zone, and began deep-canyon incision across the southern San Luis Basin. Previous studies indicate that prior to 200 ka, the present Rio Grande terminated into a large bolson complex in the vicinity of El Paso, Texas, and systematic, headward erosional processes had subtly integrated discontinuously connected basins along the eastern flank of the Rio Grande rift and southern Rocky Mountains. We propose that the integration of the entire San Luis Basin into the Rio Grande drainage system (~400–200 ka) was the critical event in the formation of the modern Rio Grande, integrating hinterland basins of the Rio Grande rift from El Paso, Texas, north to the San Luis Basin with the Gulf of Mexico. This event dramatically affected basins southeast of El Paso, Texas, across the Chisos Mountains and southeastern Basin and Range province, including the Rio Conchos watershed and much of the Chihuahuan Desert, inducing broad regional landscape incision and exhumation.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2016.0044(13)​","usgsCitation":"Ruleman, C.A., Machette, M., Thompson, R.A., Miggins, D.M., Goehring, B.M., and Paces, J.B., 2016, Geomorphic evolution of the San Luis Basin and Rio Grande in southern Colorado and northern New Mexico: GSA Field Guides, v. 44, p. 291-333, https://doi.org/10.1130/2016.0044(13)​.","productDescription":"43 p.","startPage":"291","endPage":"333","ipdsId":"IP-076013","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":" Colorado, New Mexico","otherGeospatial":"Rio Grande, San Luis Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105,\n              36.2\n            ],\n            [\n              -106.5,\n              36.2\n            ],\n            [\n              -106.5,\n              38.5\n            ],\n            [\n              -105,\n              38.5\n            ],\n            [\n              -105,\n              36.2\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084929e4b0fc4e448ffd56","contributors":{"authors":[{"text":"Ruleman, Chester A. 0000-0002-1503-4591 cruleman@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-4591","contributorId":1264,"corporation":false,"usgs":true,"family":"Ruleman","given":"Chester","email":"cruleman@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Machette, Michael","contributorId":191604,"corporation":false,"usgs":false,"family":"Machette","given":"Michael","affiliations":[],"preferred":false,"id":693584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Ren A. 0000-0002-3044-3043 rathomps@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":1265,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren","email":"rathomps@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miggins, Dan M","contributorId":191605,"corporation":false,"usgs":false,"family":"Miggins","given":"Dan","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":693585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goehring, Brent M","contributorId":191606,"corporation":false,"usgs":false,"family":"Goehring","given":"Brent","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":693586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693587,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189206,"text":"70189206 - 2016 - Implications of the methodological choices for hydrologic portrayals of climate change over the contiguous United States: Statistically downscaled forcing data and hydrologic models","interactions":[],"lastModifiedDate":"2017-07-05T16:25:03","indexId":"70189206","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"Implications of the methodological choices for hydrologic portrayals of climate change over the contiguous United States: Statistically downscaled forcing data and hydrologic models","docAbstract":"<p><span>Continental-domain assessments of climate change impacts on water resources typically rely on statistically downscaled climate model outputs to force hydrologic models at a finer spatial resolution. This study examines the effects of four statistical downscaling methods [bias-corrected constructed analog (BCCA), bias-corrected spatial disaggregation applied at daily (BCSDd) and monthly scales (BCSDm), and asynchronous regression (AR)] on retrospective hydrologic simulations using three hydrologic models with their default parameters (the Community Land Model, version 4.0; the Variable Infiltration Capacity model, version 4.1.2; and the Precipitation–Runoff Modeling System, version 3.0.4) over the contiguous United States (CONUS). Biases of hydrologic simulations forced by statistically downscaled climate data relative to the simulation with observation-based gridded data are presented. Each statistical downscaling method produces different meteorological portrayals including precipitation amount, wet-day frequency, and the energy input (i.e., shortwave radiation), and their interplay affects estimations of precipitation partitioning between evapotranspiration and runoff, extreme runoff, and hydrologic states (i.e., snow and soil moisture). The analyses show that BCCA underestimates annual precipitation by as much as −250 mm, leading to unreasonable hydrologic portrayals over the CONUS for all models. Although the other three statistical downscaling methods produce a comparable precipitation bias ranging from −10 to 8 mm across the CONUS, BCSDd severely overestimates the wet-day fraction by up to 0.25, leading to different precipitation partitioning compared to the simulations with other downscaled data. Overall, the choice of downscaling method contributes to less spread in runoff estimates (by a factor of 1.5–3) than the choice of hydrologic model with use of the default parameters if BCCA is excluded.</span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JHM-D-14-0187.1","usgsCitation":"Mizukami, N., Clark, M.P., Gutmann, E.D., Mendoza, P.A., Newman, A.J., Nijssen, B., Livneh, B., Hay, L.E., Arnold, J.R., and Brekke, L.D., 2016, Implications of the methodological choices for hydrologic portrayals of climate change over the contiguous United States: Statistically downscaled forcing data and hydrologic models: Journal of Hydrometeorology, v. 17, p. 75-98, https://doi.org/10.1175/JHM-D-14-0187.1.","productDescription":"24 p.","startPage":"75","endPage":"98","ipdsId":"IP-064865","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":471387,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jhm-d-14-0187.1","text":"Publisher Index Page"},{"id":343367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-17","publicationStatus":"PW","scienceBaseUri":"595dfab0e4b0d1f9f056a763","contributors":{"authors":[{"text":"Mizukami, Naoki","contributorId":178120,"corporation":false,"usgs":false,"family":"Mizukami","given":"Naoki","email":"","affiliations":[],"preferred":false,"id":703484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Martyn P.","contributorId":194183,"corporation":false,"usgs":false,"family":"Clark","given":"Martyn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":703485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gutmann, Ethan D.","contributorId":194227,"corporation":false,"usgs":false,"family":"Gutmann","given":"Ethan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":703486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mendoza, Pablo A.","contributorId":194228,"corporation":false,"usgs":false,"family":"Mendoza","given":"Pablo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":703487,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newman, Andrew J.","contributorId":194229,"corporation":false,"usgs":false,"family":"Newman","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":703488,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nijssen, Bart","contributorId":178123,"corporation":false,"usgs":false,"family":"Nijssen","given":"Bart","email":"","affiliations":[],"preferred":false,"id":703490,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Livneh, Ben","contributorId":145804,"corporation":false,"usgs":false,"family":"Livneh","given":"Ben","email":"","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":703491,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703502,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Arnold, Jeffrey R.","contributorId":178125,"corporation":false,"usgs":false,"family":"Arnold","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":703492,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brekke, Levi D.","contributorId":6776,"corporation":false,"usgs":true,"family":"Brekke","given":"Levi","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":703493,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70191605,"text":"70191605 - 2016 - Polyoxyethylene tallow amine, a glyphosate formulation adjuvant: Soil adsorption characteristics, degradation profile, and occurrence on selected soils from agricultural fields in Iowa, Illinois, Indiana, Kansas, Mississippi, and Missouri","interactions":[],"lastModifiedDate":"2018-08-07T12:13:09","indexId":"70191605","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Polyoxyethylene tallow amine, a glyphosate formulation adjuvant: Soil adsorption characteristics, degradation profile, and occurrence on selected soils from agricultural fields in Iowa, Illinois, Indiana, Kansas, Mississippi, and Missouri","docAbstract":"<p><span>Polyoxyethylene tallow amine (POEA) is an inert ingredient added to formulations of glyphosate, the most widely applied agricultural herbicide. POEA has been shown to have toxic effects to some aquatic organisms making the potential transport of POEA from the application site into the environment an important concern. This study characterized the adsorption of POEA to soils and assessed its occurrence and homologue distribution in agricultural soils from six states. Adsorption experiments of POEA to selected soils showed that POEA adsorbed much stronger than glyphosate; calcium chloride increased the binding of POEA; and the binding of POEA was stronger in low pH conditions. POEA was detected on a soil sample from an agricultural field near Lawrence, Kansas, but with a loss of homologues that contain alkenes. POEA was also detected on soil samples collected between February and early March from corn and soybean fields from ten different sites in five other states (Iowa, Illinois, Indiana, Missouri, Mississippi). This is the first study to characterize the adsorption of POEA to soil, the potential widespread occurrence of POEA on agricultural soils, and the persistence of the POEA homologues on agricultural soils into the following growing season.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b00965","usgsCitation":"Tush, D.L., and Meyer, M.T., 2016, Polyoxyethylene tallow amine, a glyphosate formulation adjuvant: Soil adsorption characteristics, degradation profile, and occurrence on selected soils from agricultural fields in Iowa, Illinois, Indiana, Kansas, Mississippi, and Missouri: Environmental Science & Technology, v. 50, no. 11, p. 5781-5789, https://doi.org/10.1021/acs.est.6b00965.","productDescription":"9 p.","startPage":"5781","endPage":"5789","ipdsId":"IP-065815","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":346722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Illinois, Indiana, Kansas, Mississippi, Missouri","volume":"50","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-18","publicationStatus":"PW","scienceBaseUri":"59e71693e4b05fe04cd331c0","contributors":{"authors":[{"text":"Tush, Daniel L. 0000-0003-0031-3501 dtush@usgs.gov","orcid":"https://orcid.org/0000-0003-0031-3501","contributorId":4538,"corporation":false,"usgs":true,"family":"Tush","given":"Daniel","email":"dtush@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":712857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":712858,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175745,"text":"70175745 - 2016 - Groundwater regulation and integrated planning","interactions":[],"lastModifiedDate":"2016-08-31T10:52:08","indexId":"70175745","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Groundwater regulation and integrated planning","docAbstract":"<p><span>The complex nature of groundwater and the diversity of uses and environmental interactions call for emerging groundwater problems to be addressed through integrated management and planning approaches. Planning requires different levels of integration dealing with: the hydrologic cycle (the physical process) including the temporal dimension; river basins and aquifers (spatial integration); socioeconomic considerations at regional, national and international levels; and scientific knowledge. The great natural variation in groundwater conditions obviously affects planning needs and options as well as perceptions from highly localised to regionally-based approaches. The scale at which planning is done therefore needs to be carefully evaluated against available policy choices and options in each particular setting. A solid planning approach is based on River Basin Management Planning (RBMP), which covers: (1) objectives that management planning are designed to address; (2) the way various types of measures fit into the overall management planning; and (3) the criteria against which the success or failure of specific strategies or interventions can be evaluated (e.g. compliance with environmental quality standards). A management planning framework is to be conceived as a &ldquo;living&rdquo; or iterated document that can be updated, refined and if necessary changed as information and experience are gained. This chapter discusses these aspects, providing an insight into European Union (EU), United States and Australia groundwater planning practices.</span></p>","language":"English","publisher":"Springer International Publishing","doi":"10.1007/978-3-319-23576-9_8","usgsCitation":"Quevauviller, P., Batelaan, O., and Hunt, R.J., 2016, Groundwater regulation and integrated planning, p. 197-227, https://doi.org/10.1007/978-3-319-23576-9_8.","productDescription":"31 p.","startPage":"197","endPage":"227","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057329","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":488534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-319-23576-9_8","text":"Publisher Index Page"},{"id":328103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb4e4b0f2f0cebfc272","contributors":{"authors":[{"text":"Quevauviller, Philippe","contributorId":173854,"corporation":false,"usgs":false,"family":"Quevauviller","given":"Philippe","email":"","affiliations":[{"id":27303,"text":"Professor at the K.U. Leuven","active":true,"usgs":false}],"preferred":false,"id":646289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batelaan, Okke","contributorId":140280,"corporation":false,"usgs":false,"family":"Batelaan","given":"Okke","email":"","affiliations":[{"id":13438,"text":"Flinders University, School of the Environment, GPO Box 2100, Adelaide, SA 5001, Australia","active":true,"usgs":false}],"preferred":false,"id":646290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646288,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70155251,"text":"70155251 - 2016 - Kriging and local polynomial methods for blending satellite-derived and gauge precipitation estimates to support hydrologic early warning systems","interactions":[],"lastModifiedDate":"2017-05-16T16:10:51","indexId":"70155251","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Kriging and local polynomial methods for blending satellite-derived and gauge precipitation estimates to support hydrologic early warning systems","docAbstract":"<p><span>Robust estimates of precipitation in space and time are important for efficient natural resource management and for mitigating natural hazards. This is particularly true in regions with developing infrastructure and regions that are frequently exposed to extreme events. Gauge observations of rainfall are sparse but capture the precipitation process with high fidelity. Due to its high resolution and complete spatial coverage, satellite-derived rainfall data are an attractive alternative in data-sparse regions and are often used to support hydrometeorological early warning systems. Satellite-derived precipitation data, however, tend to underrepresent extreme precipitation events. Thus, it is often desirable to blend spatially extensive satellite-derived rainfall estimates with high-fidelity rain gauge observations to obtain more accurate precipitation estimates. In this research, we use two different methods, namely, ordinary kriging and κ-nearest neighbor local polynomials, to blend rain gauge observations with the Climate Hazards Group Infrared Precipitation satellite-derived precipitation estimates in data-sparse Central America and Colombia. The utility of these methods in producing blended precipitation estimates at pentadal (five-day) and monthly time scales is demonstrated. We find that these blending methods significantly improve the satellite-derived estimates and are competitive in their ability to capture extreme precipitation.</span></p>","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2015.2502956","usgsCitation":"Verdin, A., Funk, C.C., Rajagopalan, B., and Kleiber, W., 2016, Kriging and local polynomial methods for blending satellite-derived and gauge precipitation estimates to support hydrologic early warning systems: IEEE Transactions on Geoscience and Remote Sensing, v. 54, no. 5, p. 2552-2562, https://doi.org/10.1109/TGRS.2015.2502956.","productDescription":"11 p.","startPage":"2552","endPage":"2562","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056084","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":306435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"5","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55c333a9e4b033ef52106a79","contributors":{"authors":[{"text":"Verdin, Andrew","contributorId":145812,"corporation":false,"usgs":false,"family":"Verdin","given":"Andrew","affiliations":[{"id":6713,"text":"University of Colorado, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":565371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":565370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rajagopalan, Balaji","contributorId":145813,"corporation":false,"usgs":false,"family":"Rajagopalan","given":"Balaji","email":"","affiliations":[{"id":16240,"text":"U of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":565372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kleiber, William","contributorId":145814,"corporation":false,"usgs":false,"family":"Kleiber","given":"William","email":"","affiliations":[{"id":16240,"text":"U of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":565373,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70164495,"text":"70164495 - 2016 - Functional integrity of freshwater forested wetlands, hydrologic alteration, and climate change","interactions":[],"lastModifiedDate":"2016-07-17T23:23:36","indexId":"70164495","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5075,"text":"Ecosystem Health and Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Functional integrity of freshwater forested wetlands, hydrologic alteration, and climate change","docAbstract":"<p>Climate change will challenge managers to balance the freshwater needs of humans and wetlands. The Intergovernmental Panel on Climate Change predicts that most regions of the world will be exposed to higher temperatures, CO<sub>2</sub>, and more erratic precipitation, with some regions likely to have alternating episodes of intense flooding and mega-drought. Coastal areas will be exposed to more frequent saltwater inundation as sea levels rise. Local land managers desperately need intra-regional climate information for site-specific planning, management, and restoration activities. Managers will be challenged to deliver freshwater to floodplains during climate change-induced drought, particularly within hydrologically altered and developed landscapes. Assessment of forest health, both by field and remote sensing techniques, will be essential to signal the need for hydrologic remediation. Studies of the utility of the release of freshwater to remediate stressed forested floodplains along the Murray and Mississippi Rivers suggest that brief episodes of freshwater remediation for trees can have positive health benefits for these forests. The challenges of climate change in forests of the developing world will be considered using the Tonle Sap of Cambodia as an example. With little ecological knowledge of the impacts, managing climate change will add to environmental problems already faced in the developing world with new river engineering projects. These emerging approaches to remediate stressed trees will be of utmost importance for managing worldwide floodplain forests with predicted climate changes.</p>\n<p>&nbsp;</p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, DC","doi":"10.1002/ehs2.1200","usgsCitation":"Middleton, B.A., and Souter, N.J., 2016, Functional integrity of freshwater forested wetlands, hydrologic alteration, and climate change: Ecosystem Health and Sustainability, v. 2, no. 1, p. 1-18, https://doi.org/10.1002/ehs2.1200.","productDescription":"19 p.","startPage":"1","endPage":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067130","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471379,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ehs2.1200","text":"Publisher Index Page"},{"id":316754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-19","publicationStatus":"PW","scienceBaseUri":"56bb1bc3e4b08d617f654e06","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":597615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Souter, Nicholas J.","contributorId":156360,"corporation":false,"usgs":false,"family":"Souter","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":20325,"text":"Fauna & Flora International, Cambodia Programme, Phnom Penh, 12000, Cambodia, 5001 Australia","active":true,"usgs":false}],"preferred":false,"id":597616,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175033,"text":"70175033 - 2016 - Application of an extreme winter storm scenario to identify vulnerabilities, mitigation options, and science needs in the Sierra Nevada mountains, USA","interactions":[],"lastModifiedDate":"2016-07-28T10:03:33","indexId":"70175033","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Application of an extreme winter storm scenario to identify vulnerabilities, mitigation options, and science needs in the Sierra Nevada mountains, USA","docAbstract":"<p><span>In the Sierra Nevada mountains (USA), and geographically similar areas across the globe where human development is expanding, extreme winter storm and flood risks are expected to increase with changing climate, heightening the need for communities to assess risks and better prepare for such events. In this case study, we demonstrate a novel approach to examining extreme winter storm and flood risks. We incorporated high-resolution atmospheric&ndash;hydrologic modeling of the ARkStorm extreme winter storm scenario with multiple modes of engagement with practitioners, including a series of facilitated discussions and a tabletop emergency management exercise, to develop a regional assessment of extreme storm vulnerabilities, mitigation options, and science needs in the greater Lake Tahoe region of Northern Nevada and California, USA. Through this process, practitioners discussed issues of concern across all phases of the emergency management life cycle, including preparation, response, recovery, and mitigation. Interruption of transportation, communications, and interagency coordination were among the most pressing concerns, and specific approaches for addressing these issues were identified, including prepositioning resources, diversifying communications systems, and improving coordination among state, tribal, and public utility practitioners. Science needs included expanding real-time monitoring capabilities to improve the precision of meteorological models and enhance situational awareness, assessing vulnerabilities of critical infrastructure, and conducting cost&ndash;benefit analyses to assess opportunities to improve both natural and human-made infrastructure to better withstand extreme storms. Our approach and results can be used to support both land use and emergency planning activities aimed toward increasing community resilience to extreme winter storm hazards in mountainous regions.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11069-015-2003-4","usgsCitation":"Albano, C.M., Dettinger, M.D., McCarthy, M., Schaller, K.D., Wellborn, T., and Cox, D.A., 2016, Application of an extreme winter storm scenario to identify vulnerabilities, mitigation options, and science needs in the Sierra Nevada mountains, USA: Natural Hazards, v. 80, no. 2, p. 879-900, https://doi.org/10.1007/s11069-015-2003-4.","productDescription":"22 p.","startPage":"879","endPage":"900","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068894","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":325768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-10","publicationStatus":"PW","scienceBaseUri":"579b2cace4b0589fa1c98090","contributors":{"authors":[{"text":"Albano, Christine M.","contributorId":169455,"corporation":false,"usgs":false,"family":"Albano","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":643664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":643663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCarthy, Maureen","contributorId":149897,"corporation":false,"usgs":false,"family":"McCarthy","given":"Maureen","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":643665,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaller, Kevin D.","contributorId":173217,"corporation":false,"usgs":false,"family":"Schaller","given":"Kevin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":643775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wellborn, Toby","contributorId":173203,"corporation":false,"usgs":false,"family":"Wellborn","given":"Toby","email":"","affiliations":[{"id":27191,"text":"USGS, NV WSC","active":true,"usgs":false}],"preferred":false,"id":643666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cox, Dale A. dacox@usgs.gov","contributorId":165,"corporation":false,"usgs":true,"family":"Cox","given":"Dale","email":"dacox@usgs.gov","middleInitial":"A.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":643667,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70159609,"text":"70159609 - 2016 - Hydrologic response of desert wetlands to Holocene climate change: preliminary results from the Soda Springs area, Mojave National Preserve, California","interactions":[],"lastModifiedDate":"2017-04-28T09:33:15","indexId":"70159609","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydrologic response of desert wetlands to Holocene climate change: preliminary results from the Soda Springs area, Mojave National Preserve, California","docAbstract":"Desert wetlands are common features in arid environments and include a variety of hydrologic facies, including seeps, springs, marshes, wet meadows, ponds, and spring pools.  Wet ground conditions and dense stands of vegetation in these settings combine to trap eolian, alluvial, and fluvial sediments that accumulate over time.  The resulting deposits are collectively called ground-water discharge (GWD) deposits, and contain information on how small desert watersheds responded to climate change in the past.  Most GWD studies in the southwestern U.S. have focused on the late Pleistocene because the Holocene was too dry to support the extensive wetland systems that were so pervasive just a few millennia earlier.  Here we describe the results of a pilot project that involves coring extant wetlands and analyzing the sedimentology and microfauna of the recovered sediment to infer Holocene hydrologic conditions.  In 2011, a series of cores were taken near wetlands situated along the western margin of the Soda Lake basin in the Mojave National Preserve of southern California.  The core sediments appear to show that the wetlands responded to the relatively minor climate fluctuations that characterized the Holocene.  However, our analysis was limited by relatively low sediment recovery (which only averaged 70-80%) and a general paucity of datable materials in the cores.  Additional studies aimed at improving recovery and developing new techniques for concentrating plant microfossils (plant remains that are <150 m in diameter) for radiocarbon dating are ongoing.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 1st Death Valley Natural History Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"First Death Valley Natural History Conference","language":"English","publisher":"Death Valley Natural History Association","usgsCitation":"Pigati, J., Reheis, M.C., McGeehin, J.P., Honke, J., and Bright, J., 2016, Hydrologic response of desert wetlands to Holocene climate change: preliminary results from the Soda Springs area, Mojave National Preserve, California, <i>in</i> Proceedings of the 1st Death Valley Natural History Conference, p. 2-19.","productDescription":"18 p.","startPage":"2","endPage":"19","ipdsId":"IP-052618","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590454a6e4b022cee40dc246","contributors":{"authors":[{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":149825,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey S.","email":"jpigati@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":579703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reheis, Marith C. 0000-0002-8359-323X mreheis@usgs.gov","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":1196,"corporation":false,"usgs":true,"family":"Reheis","given":"Marith","email":"mreheis@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":693378,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGeehin, John P. mcgeehin@usgs.gov","contributorId":140956,"corporation":false,"usgs":true,"family":"McGeehin","given":"John","email":"mcgeehin@usgs.gov","middleInitial":"P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":693379,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Honke, Jeffrey S.","contributorId":46412,"corporation":false,"usgs":true,"family":"Honke","given":"Jeffrey S.","affiliations":[],"preferred":false,"id":693380,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bright, J.","contributorId":191525,"corporation":false,"usgs":false,"family":"Bright","given":"J.","affiliations":[],"preferred":false,"id":693381,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70170556,"text":"70170556 - 2016 - Hydropedology: Synergistic integration of soil science and hydrology in the Critical Zone","interactions":[],"lastModifiedDate":"2016-04-27T09:35:34","indexId":"70170556","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","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":"Hydropedology: Synergistic integration of soil science and hydrology in the Critical Zone","docAbstract":"<div class=\"t m0 x16 h6 y12 ff2 fs5 fc0 sc0 ls0 ws0\">Soil and water are the two critical components of theEarth&rsquo;s Critical Zone (Figure 1): Soil modulates the connection between bedrock and the atmospheric boundary layer and water is a major driving force and transport agent between these two zones. The interactions between soil and water are so intimate and complex that they cannot be effectively studied in a piecemeal manner; they require a systems approach. In this spirit, hydropedology has emerged in recent years as a synergistic integration of soil science and hydrology that offers a renewed perspective and an integrated approach to understanding interactive pedologic and hydrologic processes and their properties in the Critical Zone.</div>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10686","usgsCitation":"Lin, H., McDonnell, J., Nimmo, J.R., and Pachepsky, Y.A., 2016, Hydropedology: Synergistic integration of soil science and hydrology in the Critical Zone: Hydrological Processes, v. 29, no. 21, p. 4559-4561, https://doi.org/10.1002/hyp.10686.","productDescription":"3 p.","startPage":"4559","endPage":"4561","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069960","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":471378,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.10686","text":"Publisher Index Page"},{"id":320588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"21","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-22","publicationStatus":"PW","scienceBaseUri":"5721e2bee4b0b13d391303b5","contributors":{"authors":[{"text":"Lin, H.S.","contributorId":168897,"corporation":false,"usgs":false,"family":"Lin","given":"H.S.","email":"","affiliations":[{"id":25381,"text":"Penn State Univ.","active":true,"usgs":false}],"preferred":false,"id":627633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonnell, J.J.","contributorId":168898,"corporation":false,"usgs":false,"family":"McDonnell","given":"J.J.","email":"","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":627634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":627632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pachepsky, Y. A.","contributorId":168899,"corporation":false,"usgs":false,"family":"Pachepsky","given":"Y.","email":"","middleInitial":"A.","affiliations":[{"id":25382,"text":"USDA-ARS Environmental Microbial and Food Safety Lab","active":true,"usgs":false}],"preferred":false,"id":627635,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175746,"text":"70175746 - 2016 - Ecohydrology and Its Relation to Integrated Groundwater Management","interactions":[],"lastModifiedDate":"2016-08-31T11:06:35","indexId":"70175746","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Ecohydrology and Its Relation to Integrated Groundwater Management","docAbstract":"<p>In the twentieth century, groundwater characterization focused primarily on easily measured hydraulic metrics of water storage and flows. Twenty-first century concepts of groundwater availability, however, encompass other factors having societal value, such as ecological well-being. Effective ecohydrological science is a nexus of fundamental understanding derived from two scientific disciplines: (1) ecology, where scale, thresholds, feedbacks and tipping points for societal questions form the basis for the ecologic characterization, and (2) hydrology, where the characteristics, magnitude, and timing of water flows are characterized for a defined system of interest. In addition to ecohydrology itself, integrated groundwater management requires input from resource managers to understand which areas of the vast world of ecohydrology are important for decision making. Expectations of acceptable uncertainty, or even what ecohydrological outputs have utility, are often not well articulated within societal decision making frameworks, or within the science community itself. Similarly, &ldquo;acceptable levels of impact&rdquo; are difficult to define. Three examples are given to demonstrate the use of ecohydrological considerations for long-term sustainability of groundwater resources and their related ecosystem function. Such examples illustrate the importance of accommodating ecohydrogeological aspects into integrated groundwater management of the twenty-first century, regardless of society, climate, or setting.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Integrated Groundwater Management","language":"English","publisher":"Springer International Publishing","doi":"10.1007/978-3-319-23576-9_12","usgsCitation":"Hunt, R.J., Hayashi, M., and Batelaan, O., 2016, Ecohydrology and Its Relation to Integrated Groundwater Management, chap. <i>of</i> Integrated Groundwater Management, p. 297-312, https://doi.org/10.1007/978-3-319-23576-9_12.","productDescription":"16 p.","startPage":"297","endPage":"312","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057309","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":488530,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-319-23576-9_12","text":"Publisher Index Page"},{"id":328106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb2e4b0f2f0cebfc24d","contributors":{"authors":[{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayashi, Masaki","contributorId":173855,"corporation":false,"usgs":false,"family":"Hayashi","given":"Masaki","email":"","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":646292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Batelaan, Okke","contributorId":140280,"corporation":false,"usgs":false,"family":"Batelaan","given":"Okke","email":"","affiliations":[{"id":13438,"text":"Flinders University, School of the Environment, GPO Box 2100, Adelaide, SA 5001, Australia","active":true,"usgs":false}],"preferred":false,"id":646293,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70160493,"text":"70160493 - 2016 - Integrated groundwater data management","interactions":[],"lastModifiedDate":"2017-04-17T14:45:30","indexId":"70160493","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Integrated groundwater data management","docAbstract":"<p><span>The goal of a data manager is to ensure that data is safely stored, adequately described, discoverable and easily accessible. However, to keep pace with the evolution of groundwater studies in the last decade, the associated data and data management requirements have changed significantly. In particular, there is a growing recognition that management questions cannot be adequately answered by single discipline studies. This has led a push towards the paradigm of integrated modeling, where diverse parts of the hydrological cycle and its human connections are included. This chapter describes groundwater data management practices, and reviews the current state of the art with enterprise groundwater database management systems. It also includes discussion on commonly used data management models, detailing typical data management lifecycles. We discuss the growing use of web services and open standards such as GWML and WaterML2.0 to exchange groundwater information and knowledge, and the need for national data networks. We also discuss cross-jurisdictional interoperability issues, based on our experience sharing groundwater data across the US/Canadian border. Lastly, we present some future trends relating to groundwater data management.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Integrated groundwater management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-23576-9_26","isbn":"978-3-319-23575-2","usgsCitation":"Fitch, P., Brodaric, B., Stenson, M., and Booth, N., 2016, Integrated groundwater data management, chap. <i>of</i> Integrated groundwater management, p. 667-692, https://doi.org/10.1007/978-3-319-23576-9_26.","productDescription":"26 p.","startPage":"667","endPage":"692","ipdsId":"IP-057014","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":488592,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-319-23576-9_26","text":"Publisher Index Page"},{"id":339814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f5d440e4b0f2e20545e413","contributors":{"editors":[{"text":"Jakeman, Anthony J. 0000-0001-5282-2215","orcid":"https://orcid.org/0000-0001-5282-2215","contributorId":173848,"corporation":false,"usgs":false,"family":"Jakeman","given":"Anthony","email":"","middleInitial":"J.","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":691268,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Barreteau, Olivier","contributorId":173849,"corporation":false,"usgs":false,"family":"Barreteau","given":"Olivier","email":"","affiliations":[{"id":27301,"text":"IRSTEA - UMR G-EAU (France)","active":true,"usgs":false}],"preferred":false,"id":691269,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":691270,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Rinaudo, Jean-Daniel","contributorId":173850,"corporation":false,"usgs":false,"family":"Rinaudo","given":"Jean-Daniel","email":"","affiliations":[{"id":27302,"text":"BRGM (France)","active":true,"usgs":false}],"preferred":false,"id":691271,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Ross, Andrew","contributorId":173851,"corporation":false,"usgs":false,"family":"Ross","given":"Andrew","email":"","affiliations":[{"id":13328,"text":"UNESCO-IHE","active":true,"usgs":false}],"preferred":false,"id":691272,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Fitch, Peter","contributorId":150765,"corporation":false,"usgs":false,"family":"Fitch","given":"Peter","email":"","affiliations":[{"id":18100,"text":"Commonwealth Scientific Research Organisation","active":true,"usgs":false}],"preferred":false,"id":583002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brodaric, Boyan","contributorId":80341,"corporation":false,"usgs":true,"family":"Brodaric","given":"Boyan","affiliations":[],"preferred":false,"id":583003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stenson, Matt","contributorId":150766,"corporation":false,"usgs":false,"family":"Stenson","given":"Matt","email":"","affiliations":[{"id":18100,"text":"Commonwealth Scientific Research Organisation","active":true,"usgs":false}],"preferred":false,"id":583004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Booth, Nathaniel 0000-0001-6040-1031 nlbooth@usgs.gov","orcid":"https://orcid.org/0000-0001-6040-1031","contributorId":140641,"corporation":false,"usgs":true,"family":"Booth","given":"Nathaniel","email":"nlbooth@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":583001,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173715,"text":"70173715 - 2016 - Hydrologic effects on diameter growth phenology for <i>Celtis laevigata</i> and <i>Quercus lyrata</i> in the floodplain of the lower White River, Arkansas","interactions":[],"lastModifiedDate":"2016-07-11T15:33:04","indexId":"70173715","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydrologic effects on diameter growth phenology for <i>Celtis laevigata</i> and <i>Quercus lyrata</i> in the floodplain of the lower White River, Arkansas","docAbstract":"<p>Bottomland hardwood (BLH) forests represent an extensive wetland system in the Mississippi Alluvial Valley and southeastern USA, and it is currently undergoing widespread transition in species composition. One such transition involves increased establishment of sugarberry (Celtis laevigata), and decreased establishment of overcup oak (Quercus lyrata). The ecological mechanisms that control this transition are not well understood. We measured monthly diameter growth with dendrometer bands on 86 sugarberry and 42 overcup oak trees at eight sites in the floodplain of the White River (AR, USA) with differing hydrologic regimes. For both species, growth attenuated earlier at drier sites compared to wetter sites. Overcup oak grew slightly longer through late August, suggesting its growth period extends across both wet and dry periods. In contrast, sugarberry growth rate decreased substantially by mid-July. While these results did not necessarily indicate a mechanism for increased prominence of sugarberry, they suggest sugarberry growing season does not as much coincide with the typically drier period of late summer and may be less affected by these conditions. Overcup oak grows later into the dry season and water table conditions during this period may determine if overcup oak benefits from this relatively extended growth period.</p>","largerWorkTitle":"Proceedings of the 18th Biennial Southern Silvicultural Research Conference: USDA Forest Service General Technical Report SRS-212","conferenceTitle":"18th Biennial Southern Silvicultural Research Conference","conferenceDate":"March 2-5, 2015","conferenceLocation":"Knoxville, TN","language":"English","publisher":"USDA Forest Service","publisherLocation":"Asheville, NC","usgsCitation":"Allen, S.T., Cochran, W., Krauss, K.W., Keim, R., and King, S.L., 2016, Hydrologic effects on diameter growth phenology for <i>Celtis laevigata</i> and <i>Quercus lyrata</i> in the floodplain of the lower White River, Arkansas, <i>in</i> Proceedings of the 18th Biennial Southern Silvicultural Research Conference: USDA Forest Service General Technical Report SRS-212, Knoxville, TN, March 2-5, 2015, p. 273-279.","productDescription":"7 p.","startPage":"273","endPage":"279","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065597","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":324096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324095,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.treesearch.fs.fed.us/pubs/50265"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576a653ce4b07657d1a11dc0","contributors":{"editors":[{"text":"Schweitzer, Callie Jo","contributorId":172250,"corporation":false,"usgs":false,"family":"Schweitzer","given":"Callie","email":"","middleInitial":"Jo","affiliations":[],"preferred":false,"id":640026,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Clatterbuck, Wayne K.","contributorId":172251,"corporation":false,"usgs":false,"family":"Clatterbuck","given":"Wayne","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":640027,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Oswalt, Christopher M.","contributorId":172252,"corporation":false,"usgs":false,"family":"Oswalt","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":640028,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Allen, Scott T.","contributorId":168409,"corporation":false,"usgs":false,"family":"Allen","given":"Scott","email":"","middleInitial":"T.","affiliations":[{"id":25282,"text":"School of Renewable Natural Resources, Louisiana State University, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":640022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Wesley","contributorId":172249,"corporation":false,"usgs":false,"family":"Cochran","given":"Wesley","email":"","affiliations":[],"preferred":false,"id":640023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":640024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keim, Richard F.","contributorId":21858,"corporation":false,"usgs":true,"family":"Keim","given":"Richard F.","affiliations":[],"preferred":false,"id":640025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637688,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70168829,"text":"70168829 - 2016 - Water-quality response to a high-elevation wildfire in the Colorado Front Range","interactions":[],"lastModifiedDate":"2021-04-20T13:20:37.020538","indexId":"70168829","displayToPublicDate":"2015-12-29T15:15:00","publicationYear":"2016","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":"Water-quality response to a high-elevation wildfire in the Colorado Front Range","docAbstract":"<p><span>Water quality of the Big Thompson River in the Front Range of Colorado was studied for 2 years following a high‐elevation wildfire that started in October 2012 and burned 15% of the watershed. A combination of fixed‐interval sampling and continuous water‐quality monitors was used to examine the timing and magnitude of water‐quality changes caused by the wildfire. Prefire water quality was well characterized because the site has been monitored at least monthly since the early 2000s. Major ions and nitrate showed the largest changes in concentrations; major ion increases were greatest in the first postfire snowmelt period, but nitrate increases were greatest in the second snowmelt period. The delay in nitrate release until the second snowmelt season likely reflected a combination of factors including fire timing, hydrologic regime, and rates of nitrogen transformations. Despite the small size of the fire, annual yields of dissolved constituents from the watershed increased 20–52% in the first 2 years following the fire. Turbidity data from the continuous sensor indicated high‐intensity summer rain storms had a much greater effect on sediment transport compared to snowmelt. High‐frequency sensor data also revealed that weekly sampling missed the concentration peak during snowmelt and short‐duration spikes during rain events, underscoring the challenge of characterizing postfire water‐quality response with fixed‐interval sampling.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10755","usgsCitation":"Mast, M.A., Murphy, S.F., Clow, D.W., Penn, C.A., and Sexstone, G.A., 2016, Water-quality response to a high-elevation wildfire in the Colorado Front Range: Hydrological Processes, v. 30, no. 12, p. 1811-1823, https://doi.org/10.1002/hyp.10755.","productDescription":"13 p.","startPage":"1811","endPage":"1823","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065060","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":318577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.82717895507812,\n              40.23708119770155\n            ],\n            [\n              -105.82305908203124,\n              40.18359473454382\n            ],\n            [\n              -105.72143554687499,\n              40.17415156558727\n            ],\n            [\n              -105.64659118652344,\n              40.1636576142761\n            ],\n            [\n              -105.58822631835938,\n              40.14056521073614\n            ],\n            [\n              -105.54290771484374,\n              40.14056521073614\n            ],\n            [\n              -105.53123474121094,\n              40.16208338164619\n   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          ],\n            [\n              -105.677490234375,\n              40.49918094806632\n            ],\n            [\n              -105.69465637207031,\n              40.513277131087484\n            ],\n            [\n              -105.732421875,\n              40.51693121343741\n            ],\n            [\n              -105.75164794921875,\n              40.5070125266111\n            ],\n            [\n              -105.77430725097656,\n              40.50074733692463\n            ],\n            [\n              -105.79421997070312,\n              40.493437209343654\n            ],\n            [\n              -105.8155059814453,\n              40.483515047963\n            ],\n            [\n              -105.8258056640625,\n              40.48038142908172\n            ],\n            [\n              -105.84640502929686,\n              40.479336856947604\n            ],\n            [\n              -105.86494445800781,\n              40.47359141968406\n            ],\n            [\n              -105.86700439453125,\n              40.447992135544304\n            ],\n            [\n              -105.86769104003906,\n              40.428655600133546\n            ],\n            [\n              -105.87318420410156,\n              40.39885600103786\n            ],\n            [\n              -105.84503173828125,\n              40.389965846521314\n            ],\n            [\n              -105.85739135742188,\n              40.364857898336325\n            ],\n            [\n              -105.85807800292969,\n              40.33503005827232\n            ],\n            [\n              -105.85464477539061,\n              40.30885442563764\n            ],\n            [\n              -105.84640502929686,\n              40.277954126194935\n            ],\n            [\n              -105.83198547363281,\n              40.252804476697165\n            ],\n            [\n              -105.809326171875,\n              40.24808787647333\n            ],\n            [\n              -105.79627990722656,\n              40.241274429193886\n            ],\n            [\n              -105.80039978027342,\n              40.23393610365757\n            ],\n            [\n              -105.8155059814453,\n              40.23760536584024\n            ],\n            [\n              -105.82717895507812,\n              40.23708119770155\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-29","publicationStatus":"PW","scienceBaseUri":"56dabffae4b015c306f84d42","contributors":{"authors":[{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":621895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":621896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":621897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Penn, Colin A. 0000-0002-5195-2744 cpenn@usgs.gov","orcid":"https://orcid.org/0000-0002-5195-2744","contributorId":5336,"corporation":false,"usgs":true,"family":"Penn","given":"Colin","email":"cpenn@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":621898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sexstone, Graham A. 0000-0001-8913-0546 sexstone@usgs.gov","orcid":"https://orcid.org/0000-0001-8913-0546","contributorId":5159,"corporation":false,"usgs":true,"family":"Sexstone","given":"Graham","email":"sexstone@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":621899,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70161737,"text":"70161737 - 2016 - Identification of groundwater nitrate contamination from explosives used in road construction: Isotopic, chemical, and hydrologic evidence","interactions":[],"lastModifiedDate":"2023-03-28T16:35:56.038705","indexId":"70161737","displayToPublicDate":"2015-12-28T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Identification of groundwater nitrate contamination from explosives used in road construction: Isotopic, chemical, and hydrologic evidence","docAbstract":"<p><span>Explosives used in construction have been implicated as sources of NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;contamination in groundwater, but direct forensic evidence is limited. Identification of blasting-related NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;can be complicated by other NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;sources, including agriculture and wastewater disposal, and by hydrogeologic factors affecting NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;transport and stability. Here we describe a study that used hydrogeology, chemistry, stable isotopes, and mass balance calculations to evaluate groundwater NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;sources and transport in areas surrounding a highway construction site with documented blasting in New Hampshire. Results indicate various groundwater responses to contamination: (1) rapid breakthrough and flushing of synthetic NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;(low &delta;</span><span>15</span><span>N, high &delta;</span><span>18</span><span>O) from dissolution of unexploded NH</span><sub><span>4</span></sub><span>NO</span><sub><span>3</span></sub><span>&nbsp;blasting agents in oxic groundwater; (2) delayed and reduced breakthrough of synthetic NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;subjected to partial denitrification (high &delta;</span><sup><span>15</span></sup><span>N, high &delta;</span><sup><span>18</span></sup><span>O); (3) relatively persistent concentrations of blasting-related biogenic NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;derived from nitrification of NH</span><sub><span>4</span></sub><span>+</span><span>&nbsp;(low &delta;</span><sup><span>15</span></sup><span>N, low &delta;</span><sup><span>18</span></sup><span>O); and (4) stable but spatially variable biogenic NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;concentrations, consistent with recharge from septic systems (high &delta;</span><sup><span>15</span></sup><span>N, low &delta;</span><sup><span>18</span></sup><span>O), variably affected by denitrification. Source characteristics of denitrified samples were reconstructed from dissolved-gas data (Ar, N</span><sub><span>2</span></sub><span>) and isotopic fractionation trends associated with denitrification (&Delta;&delta;</span><sup><span>15</span></sup><span>N/&Delta;&delta;</span><sup><span>18</span></sup><span>O &asymp; 1.31). Methods and data from this study are expected to be applicable in studies of other aquifers affected by explosives used in construction.</span></p>","language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/acs.est.5b03671","usgsCitation":"Degnan, J.R., Bohlke, J.K., Pelham, K., Langlais, D.M., and Walsh, G.J., 2016, Identification of groundwater nitrate contamination from explosives used in road construction: Isotopic, chemical, and hydrologic evidence: Environmental Science & Technology, v. 50, no. 2, p. 593-603, https://doi.org/10.1021/acs.est.5b03671.","productDescription":"11 p.","startPage":"593","endPage":"603","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067263","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":313910,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-28","publicationStatus":"PW","scienceBaseUri":"568e4912e4b0e7a44bc419dd","chorus":{"doi":"10.1021/acs.est.5b03671","url":"http://dx.doi.org/10.1021/acs.est.5b03671","publisher":"American Chemical Society (ACS)","authors":"Degnan James R., Böhlke J. K., Pelham Krystle, Langlais David M., Walsh Gregory J.","journalName":"Environmental Science & Technology","publicationDate":"1/19/2016"},"contributors":{"authors":[{"text":"Degnan, James R. 0000-0002-5665-9010 jrdegnan@usgs.gov","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":498,"corporation":false,"usgs":true,"family":"Degnan","given":"James","email":"jrdegnan@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":587712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, John Karl 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":127841,"corporation":false,"usgs":true,"family":"Bohlke","given":"John","email":"jkbohlke@usgs.gov","middleInitial":"Karl","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":587713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pelham, Krystle","contributorId":152027,"corporation":false,"usgs":false,"family":"Pelham","given":"Krystle","email":"","affiliations":[{"id":18856,"text":"NH Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":587714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langlais, David M.","contributorId":152028,"corporation":false,"usgs":false,"family":"Langlais","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":18857,"text":"Hoyle, Tanner & Associates, Inc.","active":true,"usgs":false}],"preferred":false,"id":587715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":587716,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173768,"text":"70173768 - 2016 - Fish assemblage shifts in the Powder River of Wyoming: an unregulated prairie river system previously considered to be relatively pristine.","interactions":[],"lastModifiedDate":"2016-06-09T14:22:50","indexId":"70173768","displayToPublicDate":"2015-12-23T17:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Fish assemblage shifts in the Powder River of Wyoming: an unregulated prairie river system previously considered to be relatively pristine.","docAbstract":"<p><span class=\"ff1 fs6\"><span class=\"current-selection\">W</span><span class=\"current-selection\">y</span><span class=\"current-selection\">oming</span><span class=\"ff5\"><span class=\"current-selection\">&rsquo;</span><span class=\"ff1\"><span class=\"current-selection\">s</span> <span class=\"current-selection\">P</span><span class=\"current-selection\">owder</span> <span class=\"current-selection\">River</span> <span class=\"current-selection\">is</span> <span class=\"current-selection\">considered</span> <span class=\"current-selection\">an</span> <span class=\"current-selection\">example</span> <span class=\"current-selection\">of</span> <span class=\"current-selection\">a</span> <span class=\"current-selection\">pristine</span> <span class=\"current-selection\">prairie</span> <span class=\"current-selection\">river</span> <span class=\"current-selection\">system.</span> <span class=\"current-selection\">While </span></span></span></span><span class=\"current-selection\">the</span> <span class=\"current-selection\">river</span> <span class=\"current-selection\">hosts</span> <span class=\"current-selection\">a</span> <span class=\"current-selection\">largely</span> <span class=\"current-selection\">native</span> <span class=\"current-selection\">fish</span> <span class=\"current-selection\">assemblage</span> <span class=\"current-selection\">and</span> <span class=\"current-selection\">remains</span> <span class=\"current-selection\">unimpounded</span> <span class=\"current-selection\">over</span> <span class=\"current-selection\">its</span> <span class=\"current-selection\">1,146-km</span> <span class=\"current-selection\">course</span> <span class=\"current-selection\">to</span> <span class=\"current-selection\">the </span><span class=\"current-selection\">Y</span><span class=\"current-selection\">ellowstone</span> <span class=\"current-selection\">River</span> <span class=\"current-selection\">confluence,</span> <span class=\"current-selection\">the</span> <span class=\"current-selection\">hydrologic</span> <span class=\"current-selection\">regime</span> <span class=\"current-selection\">has</span> <span class=\"current-selection\">been</span> <span class=\"current-selection\">altered</span> <span class=\"current-selection\">through</span> <span class=\"current-selection\">w</span><span class=\"current-selection\">ater</span> <span class=\"current-selection\">dive</span><span class=\"current-selection\">rsion</span> <span class=\"current-selection\">for </span><span class=\"current-selection\">agriculture</span> <span class=\"current-selection\">and</span> <span class=\"current-selection\">natural</span> <span class=\"current-selection\">gas</span> <span class=\"current-selection\">extraction</span> <span class=\"current-selection\">and</span> <span class=\"current-selection\">there</span> <span class=\"current-selection\">has</span> <span class=\"current-selection\">been</span> <span class=\"current-selection\">limited</span> <span class=\"current-selection\">study</span> <span class=\"current-selection\">of</span> <span class=\"current-selection\">fish</span> <span class=\"current-selection\">assemblage</span> <span class=\"current-selection\">structure.</span> <span class=\"current-selection\">W</span><span class=\"current-selection\">e </span><span class=\"current-selection\">analyzed</span> <span class=\"current-selection\">fish</span> <span class=\"current-selection\">data</span> <span class=\"current-selection\">collected</span> <span class=\"current-selection\">from</span> <span class=\"current-selection\">the</span> <span class=\"current-selection\">mainstem</span> <span class=\"current-selection\">P</span><span class=\"current-selection\">owder</span> <span class=\"current-selection\">River</span> <span class=\"current-selection\">in</span> <span class=\"current-selection\">W</span><span class=\"current-selection\">yoming</span> <span class=\"current-selection\">between</span> <span class=\"current-selection\">1896</span> <span class=\"current-selection\">and</span> <span class=\"current-selection\">2008.</span> <span class=\"current-selection\">Shifts </span><span class=\"current-selection\">in</span> <span class=\"current-selection\">presence/absence</span> <span class=\"current-selection\">and</span> <span class=\"current-selection\">relative</span> <span class=\"current-selection\">abundance</span> <span class=\"current-selection\">of</span> <span class=\"current-selection\">fish</span> <span class=\"current-selection\">species,</span> <span class=\"current-selection\">as</span> <span class=\"current-selection\">well</span> <span class=\"current-selection\">as</span> <span class=\"current-selection\">fish</span> <span class=\"current-selection\">assemblage</span> <span class=\"current-selection\">composition,</span> <span class=\"current-selection\">were </span><span class=\"current-selection\">assessed</span> <span class=\"current-selection\">among</span> <span class=\"current-selection\">historical</span> <span class=\"current-selection\">and</span> <span class=\"current-selection\">recent</span> <span class=\"current-selection\">samples.</span> <span class=\"current-selection\">The</span> <span class=\"current-selection\">recent</span> <span class=\"current-selection\">P</span><span class=\"current-selection\">owder</span> <span class=\"current-selection\">Rive</span><span class=\"current-selection\">r</span> <span class=\"current-selection\">fish</span> <span class=\"current-selection\">assemblage</span> <span class=\"current-selection\">w</span><span class=\"current-selection\">as</span> <span class=\"current-selection\">characterized </span><span class=\"current-selection\">by</span> <span class=\"current-selection\">increased</span> <span class=\"current-selection\">relative</span> <span class=\"current-selection\">abundances</span> <span class=\"current-selection\">of</span> <span class=\"current-selection\">sand</span> <span class=\"current-selection\">shiner</span> <span class=\"ff3\"><span class=\"current-selection\">Notr</span><span class=\"current-selection\">opis</span> <span class=\"current-selection\">stramineus</span> <span class=\"ff1\"><span class=\"current-selection\">and</span> <span class=\"current-selection\">plains</span> <span class=\"current-selection\">killifish</span> </span><span class=\"current-selection\">Fundulus</span> <span class=\"current-selection\">zebrinus</span><span class=\"ff1 current-selection\">, </span></span><span class=\"current-selection\">and</span> <span class=\"current-selection\">decreases</span> <span class=\"current-selection\">in</span> <span class=\"current-selection\">sturgeon</span> <span class=\"current-selection\">chub</span> <span class=\"ff3\"><span class=\"current-selection\">Macrhybopsis</span> <span class=\"current-selection\">gelida</span></span><span class=\"current-selection\">.</span> <span class=\"current-selection\">Shifts</span> <span class=\"current-selection\">in</span> <span class=\"current-selection\">fish</span> <span class=\"current-selection\">species</span> <span class=\"current-selection\">relative</span> <span class=\"current-selection\">abundance</span> <span class=\"current-selection\">are</span> <span class=\"current-selection\">linked</span> <span class=\"current-selection\">to </span><span class=\"current-selection\">their</span> <span class=\"current-selection\">reproductive</span> <span class=\"current-selection\">ecology</span> <span class=\"current-selection\">with</span> <span class=\"current-selection\">species</span> <span class=\"current-selection\">with</span> <span class=\"current-selection\">adhesive</span> <span class=\"current-selection\">eggs</span> <span class=\"current-selection\">generally</span> <span class=\"current-selection\">increasing</span> <span class=\"current-selection\">in</span> <span class=\"current-selection\">relative</span> <span class=\"current-selection\">abundance </span><span class=\"current-selection\">while</span> <span class=\"current-selection\">those</span> <span class=\"current-selection\">with</span> <span class=\"current-selection\">buoy</span><span class=\"current-selection\">ant</span> <span class=\"current-selection\">drifting</span> <span class=\"current-selection\">eggs</span> <span class=\"current-selection\">are</span> <span class=\"current-selection\">decreasing.</span> <span class=\"current-selection\">Assemblage</span> <span class=\"current-selection\">shifts</span> <span class=\"current-selection\">could</span> <span class=\"current-selection\">be</span> <span class=\"current-selection\">the</span> <span class=\"current-selection\">result</span> <span class=\"current-selection\">of</span> <span class=\"current-selection\">landscape </span><span class=\"current-selection\">level</span> <span class=\"current-selection\">changes,</span> <span class=\"current-selection\">such</span> <span class=\"current-selection\">as</span> <span class=\"current-selection\">the</span> <span class=\"current-selection\">loss</span> <span class=\"current-selection\">of</span> <span class=\"current-selection\">extreme</span> <span class=\"current-selection\">high</span> <span class=\"current-selection\">and</span> <span class=\"current-selection\">low</span> <span class=\"current-selection\">flow</span> <span class=\"current-selection\">events</span> <span class=\"current-selection\">and</span> <span class=\"current-selection\">changing</span> <span class=\"current-selection\">land</span> <span class=\"current-selection\">use</span> <span class=\"current-selection\">practices.</span></p>","language":"English","publisher":"Wiley","doi":"10.1890/ES14-00361.1","usgsCitation":"Senecal, A.C., Walters, A.W., and Hubert, W.A., 2016, Fish assemblage shifts in the Powder River of Wyoming: an unregulated prairie river system previously considered to be relatively pristine.: Ecosphere, v. 6, no. 12, p. 1-13, https://doi.org/10.1890/ES14-00361.1.","productDescription":"13 p.","startPage":"1","endPage":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055924","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471397,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es14-00361.1","text":"Publisher Index Page"},{"id":323391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Powder River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.47973632812499,\n              46.7774927637683\n            ],\n            [\n              -108.30322265624999,\n              42.771211138625894\n            ],\n            [\n              -106.578369140625,\n              41.75492216766298\n            ],\n            [\n              -104.293212890625,\n              46.29381556233369\n            ],\n            [\n              -105.47973632812499,\n              46.7774927637683\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-21","publicationStatus":"PW","scienceBaseUri":"575a9332e4b04f417c27514c","contributors":{"authors":[{"text":"Senecal, Anna C.","contributorId":171649,"corporation":false,"usgs":false,"family":"Senecal","given":"Anna","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":638234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":638145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubert, Wayne A.","contributorId":9325,"corporation":false,"usgs":true,"family":"Hubert","given":"Wayne","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638235,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207052,"text":"70207052 - 2016 - Climate change and water resources in a tropical island system: Propagation of uncertainty from statistically downscaled climate models to hydrologic models","interactions":[],"lastModifiedDate":"2019-12-04T15:05:24","indexId":"70207052","displayToPublicDate":"2015-12-15T14:59:21","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and water resources in a tropical island system: Propagation of uncertainty from statistically downscaled climate models to hydrologic models","docAbstract":"<p><span>Many tropical islands have limited water resources with historically increasing demand, all potentially affected by a changing climate. The effects of climate change on island hydrology are difficult to model due to steep local precipitation gradients and sparse data. This work uses 10 statistically downscaled general circulation models (GCMs) under two greenhouse gas emission scenarios to evaluate the uncertainty propagated from GCMs in projecting the effects of climate change on water resources in a tropical island system. The assessment is conducted using a previously configured hydrologic model, the Precipitation Runoff Modelling System (PRMS) for Puerto Rico. Projected climate data and their modelled hydrologic variables versus historical measurements and their modelled hydrologic variables are found to have empirical distribution functions that are statistically different with less than 1 year of daily data aggregation. Thus, only annual averages of the projected hydrologic variables are employed as completely bias‐corrected model outputs. The magnitude of the projected total flow decreases in the four regions covering Puerto Rico, but with a large range of uncertainty depending on the makeup of the GCM ensemble. The multi‐model mean projected total flow decreases by 49–88% of historical amounts from the 1960s to the 2090s for the high emissions scenarios and by 39–79% for the low emissions scenarios. Subsurface flow contributions decreased the least and groundwater flow contributions decreased the most across the island. At locations critical to water supply for human use, projected streamflow is shown to decrease substantially below projected withdrawals by 2099.</span></p>","language":"English","publisher":"Royal Meteorological Society","doi":"10.1002/joc.4560","usgsCitation":"Van Beusekom, A.E., Gould, W.A., Terando, A.J., and Collazo, J.A., 2016, Climate change and water resources in a tropical island system: Propagation of uncertainty from statistically downscaled climate models to hydrologic models: International Journal of Climatology, v. 36, no. 9, p. 3370-3383, https://doi.org/10.1002/joc.4560.","productDescription":"14 p.","startPage":"3370","endPage":"3383","ipdsId":"IP-062479","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":369912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.4066162109375,\n              17.814071002942764\n            ],\n            [\n              -65.56915283203125,\n              17.814071002942764\n            ],\n            [\n              -65.56915283203125,\n              18.609807415471877\n            ],\n            [\n              -67.4066162109375,\n              18.609807415471877\n            ],\n            [\n              -67.4066162109375,\n              17.814071002942764\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"9","noUsgsAuthors":false,"publicationDate":"2015-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Beusekom, Ashley E. 0000-0002-6996-978X beusekom@usgs.gov","orcid":"https://orcid.org/0000-0002-6996-978X","contributorId":3992,"corporation":false,"usgs":true,"family":"Van Beusekom","given":"Ashley","email":"beusekom@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":776637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gould, William A.","contributorId":103535,"corporation":false,"usgs":true,"family":"Gould","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":776638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":776639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":776640,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70170964,"text":"70170964 - 2016 - Impacts of climatic variation on trout: A global synthesis and path forward","interactions":[],"lastModifiedDate":"2017-11-27T10:28:22","indexId":"70170964","displayToPublicDate":"2015-12-10T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of climatic variation on trout: A global synthesis and path forward","docAbstract":"<p><span>Despite increasing concern that climate change may negatively impact trout&mdash;a globally distributed group of fish with major economic, ecological, and cultural value&mdash;a synthetic assessment of empirical data quantifying relationships between climatic variation and trout ecology does not exist. We conducted a systematic review to describe how temporal variation in temperature and streamflow influences trout ecology in freshwater ecosystems. Few studies (</span><i class=\"EmphasisTypeItalic \">n</i><span>&nbsp;=&nbsp;42) have quantified relationships between temperature or streamflow and trout demography, growth, or phenology, and nearly all estimates (96&nbsp;%) were for&nbsp;</span><i class=\"EmphasisTypeItalic \">Salvelinus fontinalis</i><span>&nbsp;and&nbsp;</span><i class=\"EmphasisTypeItalic \">Salmo trutta</i><span>. Only seven studies used temporal data to quantify climate-driven changes in trout ecology. Results from these studies were beset with limitations that prohibited quantitatively rigorous meta-analysis, a concerning inadequacy given major investment in trout conservation and management worldwide. Nevertheless, consistent patterns emerged from our synthesis, particularly a positive effect of summer streamflow on trout demography and growth; 64&nbsp;% of estimates were positive and significant across studies, age classes, species, and locations, highlighting that climate-induced changes in hydrology may have numerous consequences for trout. To a lesser degree, summer and fall temperatures were negatively related to population demography (51 and 53&nbsp;% of estimates, respectively), but temperature was rarely related to growth. To address limitations and uncertainties, we recommend: (1) systematically improving data collection, description, and sharing; (2) appropriately integrating climate impacts with other intrinsic and extrinsic drivers over the entire lifecycle; (3) describing indirect consequences of climate change; and (4) acknowledging and describing intrinsic resiliency.</span></p>","language":"English","publisher":"Chapman & Hall","publisherLocation":"Andover, UK","doi":"10.1007/s11160-015-9414-x","usgsCitation":"Kovach, R., Muhlfeld, C.C., Al-Chokhachy, R.K., Dunham, J.B., Letcher, B., and Kershner, J.L., 2016, Impacts of climatic variation on trout: A global synthesis and path forward: Reviews in Fish Biology and Fisheries, v. 26, no. 2, p. 135-151, https://doi.org/10.1007/s11160-015-9414-x.","productDescription":"17 p.","startPage":"135","endPage":"151","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064125","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":321217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-10","publicationStatus":"PW","scienceBaseUri":"5736fad0e4b0dae0d5e03dde","contributors":{"authors":[{"text":"Kovach, Ryan 0000-0001-5402-2123 rkovach@usgs.gov","orcid":"https://orcid.org/0000-0001-5402-2123","contributorId":145914,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":629259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":629260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":629261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":629262,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Letcher, Benjamin 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":169305,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","email":"bletcher@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":629263,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kershner, Jeffrey L. 0000-0002-7093-9860 jkershner@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9860","contributorId":310,"corporation":false,"usgs":true,"family":"Kershner","given":"Jeffrey","email":"jkershner@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":629264,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70159868,"text":"fs20153084 - 2016 - Sustainable groundwater management in California","interactions":[],"lastModifiedDate":"2016-06-23T15:12:31","indexId":"fs20153084","displayToPublicDate":"2015-12-01T16:00:00","publicationYear":"2016","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":"2015-3084","title":"Sustainable groundwater management in California","docAbstract":"<p>The U.S. Geological Survey (USGS) uses data collection, modeling tools, and scientific analysis to help water managers plan for, and assess, hydrologic issues that can cause &ldquo;undesirable results&rdquo; associated with groundwater use. This information helps managers understand trends and investigate and predict effects of different groundwater-management strategies.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153084","usgsCitation":"Phillips, S.P., Rogers, L.L., Faunt, C.C., 2015, Sustainable groundwater management in California (ver. 2.2, February 2016): U.S. Geological Survey Fact Sheet 2015-3084, 8 p., https://dx.doi.org/10.3133/fs20153084","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-069819","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":318306,"rank":3,"type":{"id":25,"text":"Version 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Originally posted December 1, 2015; Version 2.2: February, 2016","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\">Director</a>, California Water Science Center<br />U.S. Geological Survey<br />6000 J Street, Placer Hall<br />Sacramento, CA 95819<br /><a href=\"http://ca.water.usgs.gov/\">http://ca.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Science for Sustainable Groundwater Planning and Management</li>\n<li>Groundwater Levels</li>\n<li>Groundwater Storage</li>\n<li>Seawater Intrusion</li>\n<li>Water Quality</li>\n<li>Land Subsidence</li>\n<li>Interconnected Surface-Water Depletion</li>\n<li>Modeling</li>\n</ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2015-12-01","revisedDate":"2016-02-22","noUsgsAuthors":false,"publicationDate":"2015-12-01","publicationStatus":"PW","scienceBaseUri":"565ec4b2e4b071e7ea544417","contributors":{"authors":[{"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":580829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Laurel Lynn larogers@usgs.gov","contributorId":2067,"corporation":false,"usgs":true,"family":"Rogers","given":"Laurel","email":"larogers@usgs.gov","middleInitial":"Lynn","affiliations":[],"preferred":true,"id":580831,"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":150147,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":154,"text":"California Water Science 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,{"id":70159785,"text":"70159785 - 2016 - Complex mixtures, complex responses: Assessing pharmaceutical mixtures using field and laboratory approaches","interactions":[],"lastModifiedDate":"2018-08-07T12:20:06","indexId":"70159785","displayToPublicDate":"2015-11-23T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Complex mixtures, complex responses: Assessing pharmaceutical mixtures using field and laboratory approaches","docAbstract":"<p><span>Pharmaceuticals are present in low concentrations (&lt;100&thinsp;ng/L) in most municipal wastewater effluents but may be elevated locally because of factors such as input from pharmaceutical formulation facilities. Using existing concentration data, the authors assessed pharmaceuticals in laboratory exposures of fathead minnows (</span><i>Pimephales promelas</i><span>) and added environmental complexity through effluent exposures. In the laboratory, larval and mature minnows were exposed to a simple opioid mixture (hydrocodone, methadone, and oxycodone), an opioid agonist (tramadol), a muscle relaxant (methocarbamol), a simple antidepressant mixture (fluoxetine, paroxetine, venlafaxine), a sleep aid (temazepam), or a complex mixture of all compounds. Larval minnow response to effluent exposure was not consistent. The 2010 exposures resulted in shorter exposed minnow larvae, whereas the larvae exposed in 2012 exhibited altered escape behavior. Mature minnows exhibited altered hepatosomatic indices, with the strongest effects in females and in mixture exposures. In addition, laboratory-exposed, mature male minnows exposed to all pharmaceuticals (except the selective serotonin reuptake inhibitor mixture) defended nest sites less rigorously than fish in the control group. Tramadol or antidepressant mixture exposure resulted in increased splenic T lymphocytes. Only male minnows exposed to whole effluent responded with increased plasma vitellogenin concentrations. Female minnows exposed to pharmaceuticals (except the opioid mixture) had larger livers, likely as a compensatory result of greater prominence of vacuoles in liver hepatocytes. The observed alteration of apical endpoints central to sustaining fish populations confirms that effluents containing waste streams from pharmaceutical formulation facilities can adversely impact fish populations but that the effects may not be temporally consistent. The present study highlights the importance of including diverse biological endpoints spanning levels of biological organization and life stages when assessing contaminant interactions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.3147","usgsCitation":"Schoenfuss, H.L., Furlong, E.T., Phillips, P., Scott, T., Kolpin, D.W., Cetkovic-Cvrlje, M., Lesteberg, K.E., and Rearick, D.C., 2016, Complex mixtures, complex responses: Assessing pharmaceutical mixtures using field and laboratory approaches: Environmental Toxicology and Chemistry, v. 35, no. 4, p. 953-965, https://doi.org/10.1002/etc.3147.","productDescription":"13 p.","startPage":"953","endPage":"965","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066098","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":311648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-01","publicationStatus":"PW","scienceBaseUri":"565438a7e4b071e7ea53d48e","contributors":{"authors":[{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":580466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":580467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phillips, Patrick J. pjphilli@usgs.gov","contributorId":149753,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick J.","email":"pjphilli@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":580468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, Tia-Marie 0000-0002-5677-0544 tia-mariescott@usgs.gov","orcid":"https://orcid.org/0000-0002-5677-0544","contributorId":5122,"corporation":false,"usgs":true,"family":"Scott","given":"Tia-Marie","email":"tia-mariescott@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580440,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cetkovic-Cvrlje, Marina","contributorId":150029,"corporation":false,"usgs":false,"family":"Cetkovic-Cvrlje","given":"Marina","email":"","affiliations":[],"preferred":false,"id":580470,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lesteberg, Kelsey E.","contributorId":150030,"corporation":false,"usgs":false,"family":"Lesteberg","given":"Kelsey","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":580471,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rearick, Daniel C.","contributorId":38897,"corporation":false,"usgs":true,"family":"Rearick","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":580472,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70159783,"text":"70159783 - 2016 - Effect of antecedent-hydrological conditions on rainfall triggering of debris flows in ash-fall pyroclastic mantled slopes of Campania (southern Italy)","interactions":[],"lastModifiedDate":"2016-09-28T16:29:53","indexId":"70159783","displayToPublicDate":"2015-11-23T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"Effect of antecedent-hydrological conditions on rainfall triggering of debris flows in ash-fall pyroclastic mantled slopes of Campania (southern Italy)","docAbstract":"<p>Mountainous areas surrounding the Campanian Plain and the Somma-Vesuvius volcano (southern Italy) are among the most risky areas of Italy due to the repeated occurrence of rainfallinduced debris flows along ash-fall pyroclastic soil-mantled slopes. In this geomorphological framework, rainfall patterns, hydrological processes taking place within multi-layered ash-fall pyroclastic deposits and soil antecedent moisture status are the principal factors to be taken into account to assess triggering rainfall conditions and the related hazard. This paper presents the outcomes of an experimental study based on integrated analyses consisting of the reconstruction of physical models of landslides, in situ hydrological monitoring, and hydrological and slope stability modeling, carried out on four representative source areas of debris flows that occurred in May 1998 in the Sarno Mountain Range. The hydrological monitoring was carried out during 2011 using nests of tensiometers and Watermark pressure head sensors and also through a rainfall and air temperature recording station. Time series of measured pressure head were used to calibrate a hydrological numerical model of the pyroclastic soil mantle for 2011, which was re-run for a 12-year period beginning in 2000, given the availability of rainfall and air temperature monitoring data. Such an approach allowed us to reconstruct the regime of pressure head at a daily time scale for a long period, which is representative of about 11 hydrologic years with different meteorological conditions. Based on this simulated time series, average winter and summer hydrological conditions were chosen to carry out hydrological and stability modeling of sample slopes and to identify Intensity- Duration rainfall thresholds by a deterministic approach. Among principal results, the opposing winter and summer antecedent pressure head (soil moisture) conditions were found to exert a significant control on intensity and duration of rainfall triggering events. Going from winter to summer conditions requires a strong increase of intensity and/or duration to induce landslides. The results identify an approach to account for different hazard conditions related to seasonality of hydrological processes inside the ash-fall pyroclastic soil mantle. Moreover, they highlight another important factor of uncertainty that potentially affects rainfall thresholds triggering shallow landslides reconstructed by empirical approaches.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10346-015-0647-5","usgsCitation":"Napolitano, E., Fusco, F., Baum, R.L., Godt, J.W., and De Vita, P., 2016, Effect of antecedent-hydrological conditions on rainfall triggering of debris flows in ash-fall pyroclastic mantled slopes of Campania (southern Italy): Landslides, v. 13, no. 5, p. 967-983, https://doi.org/10.1007/s10346-015-0647-5.","productDescription":"17 p.","startPage":"967","endPage":"983","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070130","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":311642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","state":"Campania","otherGeospatial":"Sarno Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              14.616279602050781,\n              40.84550208206526\n            ],\n            [\n              14.616279602050781,\n              40.89950086329285\n            ],\n            [\n              14.684257507324219,\n              40.89950086329285\n            ],\n            [\n              14.684257507324219,\n              40.84550208206526\n            ],\n            [\n              14.616279602050781,\n              40.84550208206526\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-18","publicationStatus":"PW","scienceBaseUri":"565438a8e4b071e7ea53d490","contributors":{"authors":[{"text":"Napolitano, E.","contributorId":97401,"corporation":false,"usgs":true,"family":"Napolitano","given":"E.","email":"","affiliations":[],"preferred":false,"id":580432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fusco, F","contributorId":150020,"corporation":false,"usgs":false,"family":"Fusco","given":"F","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":580433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":580434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":580435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De Vita, P.","contributorId":26207,"corporation":false,"usgs":true,"family":"De Vita","given":"P.","affiliations":[],"preferred":false,"id":580436,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70156837,"text":"70156837 - 2016 - Effect of permafrost thaw on the dynamics of lakes recharged by ice-jam floods: case study in Yukon Flats, Alaska","interactions":[],"lastModifiedDate":"2017-04-07T13:55:54","indexId":"70156837","displayToPublicDate":"2015-11-21T00:00:00","publicationYear":"2016","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":"Effect of permafrost thaw on the dynamics of lakes recharged by ice-jam floods: case study in Yukon Flats, Alaska","docAbstract":"<p>Large river floods are a key water source for many lakes in fluvial periglacial settings. Where permeable sediments occur, the distribution of permafrost may play an important role in the routing of floodwaters across a floodplain. This relationship is explored for lakes in the discontinuous permafrost of Yukon Flats, interior Alaska, using an analysis that integrates satellite-derived gradients in water surface elevation, knowledge of hydrogeology, and hydrologic modeling. We observed gradients in water surface elevation between neighboring lakes ranging from 0.001 to 0.004. These high gradients, despite a ubiquitous layer of continuous shallow gravel across the flats, are consistent with limited groundwater flow across lake basins resulting from the presence of permafrost. Permafrost impedes the propagation of floodwaters in the shallow subsurface and constrains transmission to &ldquo;fill-and-spill&rdquo; over topographic depressions (surface sills), as we observed for the Twelvemile-Buddy Lake pair following a May 2013 ice-jam flood on the Yukon River. Model results indicate that permafrost table deepening of 1&ndash;11&thinsp;m in gravel, depending on watershed geometry and subsurface properties, could shift important routing of floodwater to lakes from overland flow (fill-and-spill) to shallow groundwater flow (&ldquo;fill-and-seep&rdquo;). Such a shift is possible in the next several hundred years of ground surface warming, and may bring about more synchronous water level changes between neighboring lakes following large flood events. This relationship offers a potentially useful tool, well-suited to remote sensing, for identifying long-term changes in shallow groundwater flow resulting from thawing of permafrost.</p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10756","usgsCitation":"Jepsen, S.M., Walvoord, M.A., Voss, C.I., and Rover, J.R., 2016, Effect of permafrost thaw on the dynamics of lakes recharged by ice-jam floods: case study in Yukon Flats, Alaska: Hydrological Processes, v. 30, no. 11, p. 1782-1795, https://doi.org/10.1002/hyp.10756.","productDescription":"14 p.","startPage":"1782","endPage":"1795","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063664","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":312749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats Wildlife Refuge of Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -149.74365234374997,\n              66.26243417754857\n            ],\n            [\n              -147.85400390625,\n              66.95587684341999\n            ],\n            [\n              -147.06298828125,\n              67.02458758377148\n            ],\n            [\n              -145.83251953125,\n              66.6137614931809\n            ],\n            [\n              -145.546875,\n              66.64426812270932\n            ],\n            [\n              -145.096435546875,\n              67.31021400255845\n            ],\n            [\n              -144.16259765624997,\n              67.48333834982645\n            ],\n            [\n              -143.492431640625,\n              67.1614280966097\n            ],\n            [\n              -142.97607421875,\n              67.11874849517986\n            ],\n            [\n              -141.844482421875,\n              67.15716352923295\n            ],\n            [\n              -141.61376953125,\n              66.10271940699756\n            ],\n            [\n              -142.965087890625,\n              65.98227002980873\n            ],\n            [\n              -143.50341796875,\n              66.39915999849539\n            ],\n            [\n              -144.107666015625,\n              66.32868478255796\n            ],\n            [\n              -144.38232421875,\n              66.28453710088559\n            ],\n            [\n              -143.931884765625,\n              65.9061387565849\n            ],\n            [\n              -145.601806640625,\n              65.80277639340238\n            ],\n            [\n              -147.1728515625,\n              65.93303449689425\n            ],\n            [\n              -148.46923828125,\n              65.78475783804785\n            ],\n            [\n              -149.117431640625,\n              65.70351820774201\n            ],\n            [\n              -149.74365234374997,\n              66.26243417754857\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-29","publicationStatus":"PW","scienceBaseUri":"567a823ae4b0a04ef490fcde","contributors":{"authors":[{"text":"Jepsen, Steve M.","contributorId":147212,"corporation":false,"usgs":false,"family":"Jepsen","given":"Steve","email":"","middleInitial":"M.","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false}],"preferred":false,"id":570776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":570775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":570777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rover, Jennifer R. 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":2941,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":570778,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70160541,"text":"70160541 - 2016 - Water availability and land subsidence in the Central Valley, California, USA","interactions":[],"lastModifiedDate":"2016-04-28T13:06:13","indexId":"70160541","displayToPublicDate":"2015-11-17T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Water availability and land subsidence in the Central Valley, California, USA","docAbstract":"<p><span>The Central Valley in California (USA) covers about 52,000&nbsp;km</span><sup><span>2</span></sup><span>&nbsp;and is one of the most productive agricultural regions in the world. This agriculture relies heavily on surface-water diversions and groundwater pumpage to meet irrigation water demand. Because the valley is semi-arid and surface-water availability varies substantially, agriculture relies heavily on local groundwater. In the southern two thirds of the valley, the San Joaquin Valley, historic and recent groundwater pumpage has caused significant and extensive drawdowns, aquifer-system compaction and subsidence. During recent drought periods (2007&ndash;2009 and 2012-present), groundwater pumping has increased owing to a combination of decreased surface-water availability and land-use changes. Declining groundwater levels, approaching or surpassing historical low levels, have caused accelerated and renewed compaction and subsidence that likely is mostly permanent. The subsidence has caused operational, maintenance, and construction-design problems for water-delivery and flood-control canals in the San Joaquin Valley. Planning for the effects of continued subsidence in the area is important for water agencies. As land use, managed aquifer recharge, and surface-water availability continue to vary, long-term groundwater-level and subsidence monitoring and modelling are critical to understanding the dynamics of historical and continued groundwater use resulting in additional water-level and groundwater storage declines, and associated subsidence. Modeling tools such as the Central Valley Hydrologic Model, can be used in the evaluation of management strategies to mitigate adverse impacts due to subsidence while also optimizing water availability. This knowledge will be critical for successful implementation of recent legislation aimed toward sustainable groundwater use.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-015-1339-x","usgsCitation":"Faunt, C., Sneed, M., Traum, J.A., and Brandt, J.T., 2016, Water availability and land subsidence in the Central Valley, California, USA: Hydrogeology Journal, v. 24, no. 3, p. 675-684, https://doi.org/10.1007/s10040-015-1339-x.","productDescription":"10 p.","startPage":"675","endPage":"684","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067128","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471426,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-015-1339-x","text":"Publisher Index Page"},{"id":312732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":583087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":155,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":583088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":583089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Justin T. 0000-0002-9397-6824 jbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-9397-6824","contributorId":157,"corporation":false,"usgs":true,"family":"Brandt","given":"Justin","email":"jbrandt@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":583090,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70160217,"text":"70160217 - 2016 - Growth of common brackish marsh macrophytes under altered hydrology and salinity regimes","interactions":[],"lastModifiedDate":"2019-09-13T11:08:30","indexId":"70160217","displayToPublicDate":"2015-11-12T00:00:00","publicationYear":"2016","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":"Growth of common brackish marsh macrophytes under altered hydrology and salinity regimes","docAbstract":"<p><span>Coastal marsh plants are increasingly subject to physicochemical stressors under rising sea levels, and the maintenance of marsh ecological functions can depend on the ability of individual species and communities to tolerate or adapt to altered conditions. We conducted a greenhouse experiment to identify hydrology and salinity effects on growth of three common brackish marsh macrophytes of coastal Florida, USA:&nbsp;</span><i class=\"EmphasisTypeItalic \">Distichlis spicata</i><span>,&nbsp;</span><i class=\"EmphasisTypeItalic \">Juncus roemerianus</i><span>, and&nbsp;</span><i class=\"EmphasisTypeItalic \">Spartina bakeri</i><span>. The species were potted as monocultures and exposed to three salinities (0, 15, or 28&nbsp;psu) and two hydrologic conditions (saturated, tidal) over 22&nbsp;months. Final stem density of&nbsp;</span><i class=\"EmphasisTypeItalic \">J. roemerianus</i><span>&nbsp;and&nbsp;</span><i class=\"EmphasisTypeItalic \">S. bakeri</i><span>&nbsp;did not differ among treatments. In&nbsp;</span><i class=\"EmphasisTypeItalic \">D. spicata</i><span>, however, stem density was lowest at 28&nbsp;psu and lower in tidal compared to saturated conditions. Mean stem height of all species was lowest at 28&nbsp;psu. Aboveground biomass of&nbsp;</span><i class=\"EmphasisTypeItalic \">J. roemerianus</i><span>&nbsp;was not affected by the treatments, but in&nbsp;</span><i class=\"EmphasisTypeItalic \">D. spicata</i><span>&nbsp;and</span><i class=\"EmphasisTypeItalic \">S. bakeri</i><span>&nbsp;it was lowest at 28&nbsp;psu. Results indicated that&nbsp;</span><i class=\"EmphasisTypeItalic \">J. roemerianus</i><span>&nbsp;was the most adaptable species and may, therefore, be more resilient to climate-change driven stressors. However, plant-plant interactions such as interspecific competition and facilitation can alter the response of individual species to environmental factors.</span></p>","language":"English","publisher":"Society of Wetland Scientists","publisherLocation":"Lawrence, KS","doi":"10.1007/s13157-015-0711-x","usgsCitation":"Howard, R.J., Biagas, J.M., and Allain, L.K., 2016, Growth of common brackish marsh macrophytes under altered hydrology and salinity regimes: Wetlands, v. 36, no. 1, p. 11-20, https://doi.org/10.1007/s13157-015-0711-x.","productDescription":"10 p.","startPage":"11","endPage":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064073","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":312235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Ten Thousand Islands National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.5,\n              25.9\n            ],\n            [\n              -81.5,\n              26\n            ],\n            [\n              -81.6,\n              26\n            ],\n            [\n              -81.6,\n              25.9\n            ],\n            [\n              -81.5,\n              25.9\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-12","publicationStatus":"PW","scienceBaseUri":"566ff651e4b09cfe53ca79a0","contributors":{"authors":[{"text":"Howard, Rebecca J. 0000-0001-7264-4364 howardr@usgs.gov","orcid":"https://orcid.org/0000-0001-7264-4364","contributorId":2429,"corporation":false,"usgs":true,"family":"Howard","given":"Rebecca","email":"howardr@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":582055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biagas, Janelda M. 0000-0001-5548-1970 biagasj@usgs.gov","orcid":"https://orcid.org/0000-0001-5548-1970","contributorId":4613,"corporation":false,"usgs":true,"family":"Biagas","given":"Janelda","email":"biagasj@usgs.gov","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":582056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allain, Larry K. 0000-0002-7717-9761 allainl@usgs.gov","orcid":"https://orcid.org/0000-0002-7717-9761","contributorId":2414,"corporation":false,"usgs":true,"family":"Allain","given":"Larry","email":"allainl@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":582057,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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