The U.S. Geological Survey developed the Massachusetts Reservoir Simulation Tool to examine the effects of reservoirs on natural streamflows in Massachusetts by simulating the daily water balance of reservoirs. The simulation tool was developed to assist environmental managers to better manage water withdrawals in reservoirs and to preserve downstream aquatic habitats.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161136","usgsCitation":"Levin, S.B., 2016, Massachusetts reservoir simulation tool—User’s manual: U.S. Geological Survey Open-File Report 2016–1136, 22 p., https://dx.doi.org/10.3133/ofr20161136.","productDescription":"Report: iv, 22 p.; Software or Model Page","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-073794","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":329305,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20165123","text":"Scientific Investigations Report 2016–5123","description":"Scientific Investigations Report 2016–5123","linkHelpText":"- Effects of Water-Supply Reservoirs on Streamflow in Massachusetts"},{"id":329300,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1136/ofr20161136.pdf","text":"Report","size":"4.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1136"},{"id":329306,"rank":4,"type":{"id":4,"text":"Application Site"},"url":"https://newengland.water.usgs.gov/dev/sl1/rst/ ","text":"Software or Model Page","description":"Software or Model Page","linkHelpText":"- The Massachusetts Reservoir Simulation Tool"},{"id":329299,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1136/coverthb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Massachusetts Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.116667,\n 42.311111\n ],\n [\n -72.116667,\n 42.270833\n ],\n [\n -72.045833,\n 42.270833\n ],\n [\n -72.045833,\n 42.311111\n ],\n [\n -72.116667,\n 42.311111\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
Or visit our Web site at:
http://newengland.water.usgs.gov/
Climate change is occurring rapidly at high latitudes, and subsequent changes in parasite communities may have implications for hosts including wildlife and humans. Waterfowl, in particular, harbor numerous parasites and may facilitate parasite movement across broad geographic areas due to migratory movements. However, little is known about helminth community structure of waterfowl at northern latitudes. We investigated the helminth communities of two avian herbivores that breed at high latitudes, Pacific black brant (Branta bernicla nigricans), and greater white-fronted geese (Anser albifrons), to examine effects of species, geographic area, age, and sex on helminth species richness, aggregation, prevalence, and intensity. We collected 83 and 58 black brant and white-fronted geese, respectively, from Arctic and Subarctic Alaska July-August 2014. We identified 10 known helminth species (Amidostomum anseris, Amidostomum spatulatum, Drepanidotaenia lanceolata, Epomidiostomum crami, Heterakis dispar, Notocotylus attenuatus, Tetrameres striata, Trichostrongylus tenuis, Tschertkovilepis setigera, and Wardoides nyrocae) and 1 previously undescribed trematode. All geese sampled were infected with at least one helminth species. All helminth species identified were present in both age classes and species, providing evidence of transmission at high latitudes and suggesting broad host susceptibility. Also, all but one helminth species were present at both sites, suggesting conditions are suitable for transmission across a large latitudinal/environmental gradient. Our study provides important baseline information on avian parasites that can be used to evaluate the effects of a changing climate on host-parasite distributions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijppaw.2016.09.002","usgsCitation":"Amundson, C.L., Traub, N., Smith-Herron, A., and Flint, P.L., 2016, Helminth community structure in two species of arctic-breeding waterfowl: International Journal for Parasitology: Parasites and Wildlife, v. 5, no. 3, p. 263-272, https://doi.org/10.1016/j.ijppaw.2016.09.002.","productDescription":"10 p.","startPage":"263","endPage":"272","ipdsId":"IP-074824","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":462065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2016.09.002","text":"Publisher Index Page"},{"id":358253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"5","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc03282e4b0fc368eb53a62","contributors":{"authors":[{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":747820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Traub, N.J.","contributorId":208600,"corporation":false,"usgs":false,"family":"Traub","given":"N.J.","email":"","affiliations":[],"preferred":false,"id":747821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith-Herron, A.J.","contributorId":208601,"corporation":false,"usgs":false,"family":"Smith-Herron","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":747822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":747823,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176429,"text":"ofr20161157 - 2016 - Bathymetric survey and estimation of storage capacity of lower Sixmile Creek reservoir, Ithaca, New York","interactions":[],"lastModifiedDate":"2016-10-05T16:54:35","indexId":"ofr20161157","displayToPublicDate":"2016-10-05T15:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1157","title":"Bathymetric survey and estimation of storage capacity of lower Sixmile Creek reservoir, Ithaca, New York","docAbstract":"During 2015, the U.S. Geological Survey, in cooperation with the City of Ithaca, New York, and the New York State Department of State, conducted a bathymetric survey of the lower Sixmile Creek reservoir in Tompkins County, New York. A former water-supply reservoir for the City of Ithaca, the reservoir is no longer a functional component of Ithaca’s water-supply system, having been replaced by a larger reservoir less than a mile upstream in 1911. Excessive sedimentation has substantially reduced the reservoir’s water-storage capacity and made the discharge gate at the base of the 30-foot dam, which creates the reservoir, inoperable. U.S. Geological Survey personnel collected bathymetric data by using an acoustic Doppler current profiler. Across more than half of the approximately 14-acre reservoir, depths were manually measured because of interference from aquatic vegetation with the acoustic Doppler current profiler. City of Ithaca personnel created a bottom-elevation surface from these depth data. A second surface was created from depths that were manually measured by City of Ithaca personnel during 1938. Surface areas and storage capacities were computed at 1-foot increments of elevation for both bathymetric surveys. The results indicate that the current storage capacity of the reservoir at its normal water-surface elevation is about 84 acre-feet and that sediment accumulated between 1938 and 2015 has decreased the reservoir’s capacity by about 68 acre-feet. This sediment load is attributed to annual inputs from the watershed above the reservoir, as well as from an episodic landslide that filled a large part of the reservoir along its northern edge in 1949.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161157","collaboration":"Prepared in cooperation with the City of Ithaca, New York, and the New York State Department of State","usgsCitation":"Wernly, J.F., Zajd, H.J., Jr., and Coon, W.F., 2016, Bathymetric survey and estimation of storage capacity of lower Sixmile Creek reservoir, Ithaca, New York: U.S. Geological Survey Open-File Report 2016–1157, 13 p., https://dx.doi.org/10.3133/ofr20161157.","productDescription":"Report: vii, 13 p.; Data Release","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-074656","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":438539,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7G15Z0S","text":"USGS data release","linkHelpText":"Geospatial data set of bathymetric survey of lower Sixmile Creek Reservoir, Ithaca, New York, 2015"},{"id":329057,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1157/coverthb.jpg"},{"id":329058,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1157/ofr20161157.pdf","text":"Report","size":"7.89 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1157"},{"id":329059,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7G15Z0S","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial Dataset of Bathymetric Survey of Lower Sixmile Creek Reservoir, Ithaca, New York, 2015"}],"country":"United States","state":"New York","city":"Ithaca","otherGeospatial":"Lower Sixmile Creek Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.47645235061646,\n 42.42269621215634\n ],\n [\n -76.47645235061646,\n 42.42519885057981\n ],\n [\n -76.47053003311157,\n 42.42519885057981\n ],\n [\n -76.47053003311157,\n 42.42269621215634\n ],\n [\n -76.47645235061646,\n 42.42269621215634\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
30 Brown Road
Ithaca, NY 14850
Information requests:
(518) 285-5602
or visit our Web site at:
http://ny.water.usgs.gov
To assist resource managers and planners in developing informed strategies to address nitrogen loading to coastal water bodies of Long Island, New York, the U.S. Geological Survey and the New York State Department of Environmental Conservation initiated a program to delineate a comprehensive dataset of groundwater recharge areas (or areas contributing groundwater), travel times, and outflows to streams and saline embayments on Long Island. A four-layer regional three-dimensional finite-difference groundwater-flow model of hydrologic conditions from 1968 to 1983 was used to provide delineations of 48 groundwater watersheds on Long Island. Sixteen particle starting points were evenly spaced within each of the 4,000- by 4,000-foot model cells that receive water-table recharge and tracked using forward particle-tracking analysis modeling software to outflow zones. For each particle, simulated travel times were grouped by age as follows: less than or equal to 10 years, greater than 10 years and less than or equal to 100 years, greater than 100 years and less than or equal to 1,000 years, and greater than 1,000 years; and simulated ending zones were grouped into 48 receiving water bodies, based on the New York State Department of Environmental Conservation Waterbody Inventory/Priority Waterbodies List. Areal delineation of travel time zones and groundwater contributing areas were generated and a table was prepared presenting the sum of groundwater outflow for each area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165138","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Misut, P.E., and Monti, Jack, Jr., 2016, Delineation of areas contributing groundwater to selected receiving surface water bodies for long-term average hydrologic conditions from 1968 to 1983 for Long Island, New York:U.S. Geological Survey Scientific Investigations Report 2016–5138, 22 p., https://dx.doi.org/10.3133/sir20165138.","productDescription":"Report: iv, 22 p.; Figures: 1-5; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":329253,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5138/coverthb.jpg"},{"id":329257,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7TB151D ","text":"USGS data release","description":"USGS data release ","linkHelpText":"MODFLOW-2005 and MODPATH6 models "},{"id":329254,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5138/sir20165138.pdf","text":"Report","size":"5.21 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5138"},{"id":329255,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5138/sir20165138_figs1-5.zip","text":"Figures 1-5 ","size":"10.2 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5138","linkHelpText":"- Large-format versions of figures in report"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.25,\n 40.5\n ],\n [\n -73.25,\n 40.9\n ],\n [\n -74.25,\n 40.9\n ],\n [\n -74.25,\n 40.5\n ],\n [\n -73.25,\n 40.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180
http://ny.water.usgs.gov
The U.S. Department of the Interior has proposed to withdraw approximately 10 million acres of Federal lands from mineral entry (subject to valid existing rights) from 12 million acres of lands defined as Sagebrush Focal Areas (SFAs) in Idaho, Montana, Nevada, Oregon, Utah, and Wyoming (for further discussion on the lands involved see Scientific Investigations Report 2016–5089–A). The purpose of the proposed action is to protect the greater sage-grouse (Centrocercus urophasianus) and its habitat from potential adverse effects of locatable mineral exploration and mining. The U.S. Geological Survey Sagebrush Mineral-Resource Assessment (SaMiRA) project was initiated in November 2015 and supported by the Bureau of Land Management to (1) assess locatable mineral-resource potential and (2) to describe leasable and salable mineral resources for the seven SFAs and Nevada additions.
This chapter summarizes the current status of locatable, leasable, and salable mineral commodities and assesses the potential of locatable minerals in the Southwestern and South-Central Wyoming and Bear River Watershed, Wyoming and Utah, SFAs.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming (Scientific Investigations Report 2016-5089)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165089E","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Wilson, A.B., Hayes, T.S., Benson, M.E., Yager, D.B., Anderson, E.D., Bleiwas, D.I., DeAngelo, J., Dicken, C.L., Drake, R.M., II, Fernette, G.L., Giles, S.A., Glen, J.M.G., Haacke, J.E., Horton, J.D., Parks, H.L., Rockwell, B.W., and Williams, C.F., 2016, Geology and mineral resources of the Southwestern and South-Central Wyoming Sagebrush Focal Area, Wyoming, and the Bear River Watershed Sagebrush Focal Area, Wyoming and Utah, (ver. 1.1, October 26, 2016): U.S. Geological Survey Scientific Investigations Report 2016–5089–E, 128 p., https://dx.doi.org/10.3133/sir20165089E.","productDescription":"Report: xvii, 128 p.; 28 Figures; 3 Appendixes; Version History","numberOfPages":"150","onlineOnly":"Y","ipdsId":"IP-075698","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":329107,"rank":17,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5089/e/sir20165089e_fig17_tabloid.pdf","text":"Figure 17 - 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Tabloid","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5089 Chapter E Figure 9"},{"id":329111,"rank":21,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5089/e/sir20165089e_fig22_tabloid.pdf","text":"Figure 22 - Tabloid","size":"5.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5089 Chapter E Figure 22"},{"id":329112,"rank":22,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5089/e/sir20165089e_fig23_tabloid.pdf","text":"Figure 23 - Tabloid","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5089 Chapter E Figure 23"},{"id":329101,"rank":9,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5089/e/sir20165089e_fig10a_tabloid.pdf","text":"Figure 10A - Tabloid","size":"3.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5089 Chapter E Figure 10A"}],"country":"United States","state":"Wyoming, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.75,\n 41\n ],\n [\n -111.75,\n 42.75\n ],\n [\n -108.5,\n 42.75\n ],\n [\n -108.5,\n 41\n ],\n [\n -111.75,\n 41\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: Originally posted October 4, 2016; Version 1.1: October 27, 2016","contact":"Contact Information, Mineral Resources Program
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Studies have been conducted to refine US Environmental Protection Agency, ASTM International, and Environment Canada standard methods for conducting 42-d reproduction tests with Hyalella azteca in water or in sediment. Modifications to the H. azteca method include better-defined ionic composition requirements for exposure water (i.e., >15 mg/L of chloride and >0.02 mg/L of bromide) and improved survival, growth, and reproduction with alternate diets provided as increased rations over time in water-only or whole-sediment toxicity tests. A total of 24 laboratories volunteered to participate in the present interlaboratory study evaluating the performance of H. azteca in 42-d studies in control sand or control sediment using the refined methods. Improved growth and reproduction of H. azteca was observed with 2 alternate diets of 1) ramped diatoms (Thalassiosira weissflogii) + ramped Tetramin or 2) yeast–cerophyll–trout chow (YCT) + ramped Tetramin, especially when compared with results from the traditional diet of 1.8 mg YCT/d. Laboratories were able to meet proposed test acceptability criteria and in most cases had lower variation in growth or reproduction compared with previous interlaboratory studies using the traditional YCT diet. Laboratory success in conducting 42-d H. azteca exposures benefited from adherence to several key requirements of the detailed testing, culturing, and handling methods. Results from the present interlaboratory study are being used to help revise standard methods for conducting 10-d to 42-d water or sediment toxicity exposures with H. azteca.
","language":"English","publisher":"SETAC Press","doi":"10.1002/etc.3417","usgsCitation":"Ivey, C.D., Ingersoll, C.G., Brumbaugh, W.G., Hammer, E.J., Mount, D.R., Hockett, J.R., Norberg-King, T.J., Soucek, D., and Taylor, L., 2016, Using an interlaboratory study to revise methods for conducting 10-d to 42-d water or sediment toxicity tests with Hyalella azteca: Environmental Toxicology and Chemistry, v. 35, no. 10, p. 2439-2447, https://doi.org/10.1002/etc.3417.","productDescription":"9 p.","startPage":"2439","endPage":"2447","ipdsId":"IP-071150","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":329256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-02","publicationStatus":"PW","scienceBaseUri":"57f7c639e4b0bc0bec09c816","contributors":{"authors":[{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":649937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":649938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":649939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hammer, Edward J.","contributorId":150723,"corporation":false,"usgs":false,"family":"Hammer","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":649940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mount, David R.","contributorId":150725,"corporation":false,"usgs":false,"family":"Mount","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":18078,"text":"U. S. Environmental Protection Agency, Environmental Effects Research Laboratory, Duluth, Minnesota","active":true,"usgs":false}],"preferred":false,"id":649941,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hockett, J. Russell","contributorId":175086,"corporation":false,"usgs":false,"family":"Hockett","given":"J.","email":"","middleInitial":"Russell","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":649942,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Norberg-King, Teresa J.","contributorId":175087,"corporation":false,"usgs":false,"family":"Norberg-King","given":"Teresa","email":"","middleInitial":"J.","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":649943,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Soucek, Dave","contributorId":175088,"corporation":false,"usgs":false,"family":"Soucek","given":"Dave","affiliations":[{"id":27529,"text":"Illinois Natural History Survey, Champaign, Il","active":true,"usgs":false}],"preferred":false,"id":649944,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Taylor, Lisa","contributorId":175089,"corporation":false,"usgs":false,"family":"Taylor","given":"Lisa","email":"","affiliations":[{"id":27530,"text":"Environment Canada, Ottawa, ONT Canada","active":true,"usgs":false}],"preferred":false,"id":649945,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70176465,"text":"ds1020 - 2016 - Characterization of fractures and flow zones in a contaminated crystalline-rock aquifer in the Tylerville section of Haddam, Connecticut","interactions":[],"lastModifiedDate":"2016-10-04T10:56:37","indexId":"ds1020","displayToPublicDate":"2016-10-04T07:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1020","title":"Characterization of fractures and flow zones in a contaminated crystalline-rock aquifer in the Tylerville section of Haddam, Connecticut","docAbstract":"The U.S. Geological Survey, in cooperation with the Connecticut Department of Energy and Environmental Protection, investigated the characteristics of the bedrock aquifer in the Tylerville section of Haddam, Connecticut, from June to August 2014. As part of this investigation, geophysical logs were collected from six water-supply wells and were analyzed to (1) identify well construction, (2) determine the rock type and orientation of the foliation and layering of the rock, (3) characterize the depth and orientation of fractures, (4) evaluate fluid properties of the water in the well, and (5) determine the relative transmissivity and head of discrete fractures or fracture zones. The logs included the following: caliper, electromagnetic induction, gamma, acoustic and (or) optical televiewer, heat-pulse flowmeter under ambient and pumped conditions, hydraulic head data, fluid electrical conductivity and temperature under postpumping conditions, and borehole-radar reflection collected in single-hole mode. In a seventh borehole, a former water-supply well, only caliper, fluid electrical conductivty, and temperature logs were collected, because of a constriction in the borehole.
This report includes a description of the methods used to collect and process the borehole geophysical data, the description of the data collected in each of the wells, and a comparison of the results collected in all of the wells. The data are presented in plots of the borehole geophysical logs, tables, and figures. Collectively these data provide valuable characterizations that can be used to improve or inform site conceptual models of groundwater flow in the study area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1020","collaboration":"Prepared in cooperation with the Connecticut Department of Energy and Environmental Protection","usgsCitation":"Johnson, C.D., Kiel, K.F., Joesten, P.K., and Pappas, K.L., 2016, Characterization of fractures and flow zones in a contaminated crystalline-rock aquifer in the Tylerville section of Haddam, Connecticut: U.S. Geological Survey Data Series 1020, 40 p., https://dx.doi.org/10.3133/ds1020.","productDescription":"Report: viii, 40 p.; Appendixes: 1-7","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-067211","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":329127,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1020/appendix/ds1020_appendix2.zip","text":"Appendix 2","size":"7.27 MB","linkFileType":{"id":6,"text":"zip"},"description":"DS 1020","linkHelpText":"- Borehole-Geophysical Logs From Borehole 76–BR in the Tylerville Study Area, Haddam, Connecticut, 2014"},{"id":329131,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1020/appendix/ds1020_appendix6.zip","text":"Appendix 6","size":"19.9 MB","linkFileType":{"id":6,"text":"zip"},"description":"DS 1020","linkHelpText":"- Borehole-Geophysical Logs From Borehole 130–LMR in the Tylerville Study Area, Haddam, Connecticut, 2014"},{"id":329132,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1020/appendix/ds1020_appendix7.zip","text":"Appendix 7","size":"658 KB","linkFileType":{"id":6,"text":"zip"},"description":"DS 1020","linkHelpText":"- Borehole-Geophysical Logs From Borehole 95–BR in the Tylerville Study Area, Haddam, Connecticut, 2014"},{"id":329133,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1020/appendix/ds1020_appendixes_1-7.zip","text":"Appendixes 1–7","size":"76.9 MB","linkFileType":{"id":6,"text":"zip"},"description":"DS 1020","linkHelpText":"- Borehole-Geophysical Logs From Seven Boreholes in the Tylerville Study Area, Haddam, Connecticut, 2014"},{"id":329128,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1020/appendix/ds1020_appendix3.zip","text":"Appendix 3","size":"5.84 MB","linkFileType":{"id":6,"text":"zip"},"description":"DS 1020","linkHelpText":"- Borehole-Geophysical Logs From Borehole 85–BR in the Tylerville Study Area, Haddam, Connecticut, 2014"},{"id":329130,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1020/appendix/ds1020_appendix5.zip","text":"Appendix 5","size":"18 MB","linkFileType":{"id":6,"text":"zip"},"description":"DS 1020","linkHelpText":"- Borehole-Geophysical Logs From Borehole 77–LMR in the Tylerville Study Area, Haddam, Connecticut, 2014"},{"id":329129,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1020/appendix/ds1020_appendix4.zip","text":"Appendix 4","size":"10.7 MB","linkFileType":{"id":6,"text":"zip"},"description":"DS 1020","linkHelpText":"- Borehole-Geophysical Logs From Borehole 79/81–BR in the Tylerville Study Area, Haddam, Connecticut, 2014"},{"id":329124,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1020/coverthb.jpg"},{"id":329125,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1020/ds1020.pdf","text":"Report","size":"8.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1020"},{"id":329126,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1020/appendix/ds1020_appendix1.zip","text":"Appendix 1","size":"14.4 MB","linkFileType":{"id":6,"text":"zip"},"description":"DS 1020","linkHelpText":"- Borehole-Geophysical Logs From Borehole 1640–SR in the Tylerville Study Area, Haddam, Connecticut, 2014"}],"country":"United States","state":"Connecticut","county":"Middlesex County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.48126983642578,\n 41.43944494429659\n ],\n [\n -72.48126983642578,\n 41.45745861169602\n ],\n [\n -72.46135711669922,\n 41.45745861169602\n ],\n [\n -72.46135711669922,\n 41.43944494429659\n ],\n [\n -72.48126983642578,\n 41.43944494429659\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Chief, Branch of Geophysics
Office of Groundwater
U.S. Geological Survey
11 Sherman Place, Unit 5015
Storrs, CT 06269
http://water.usgs.gov/ogw/bgas
Glen Canyon Dam (GCD) on the Colorado River in northern Arizona provides water storage, flood control, and power system benefits to approximately 40 million people who rely on water and energy resources in the Colorado River basin. Downstream resources (e.g., angling, whitewater floating) in Glen Canyon National Recreation Area (GCNRA) and Grand Canyon National Park are impacted by the operation of GCD. The GCD Adaptive Management Program was established in 1997 to monitor and research the effects of dam operations on the downstream environment. We utilized secondary survey data and an individual observation travel cost model to estimate the net economic benefit of angling in GCNRA for each season and each type of angler. As expected, the demand for angling decreased with increasing travel cost; the annual value of angling at Lees Ferry totaled US$2.7 million at 2014 visitation levels. Demand for angling was also affected by season, with per-trip values of $210 in the summer, $237 in the spring, $261 in the fall, and $399 in the winter. This information provides insight into the ways in which anglers are potentially impacted by seasonal GCD operations and adaptive management experiments aimed at improving downstream resource conditions.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1204388","usgsCitation":"Bair, L.S., Rogowski, D.L., and Neher, C., 2016, Economic value of angling on the Colorado River at Lees Ferry: Using secondary data to estimate the influence of seasonality: North American Journal of Fisheries Management, v. 36, no. 6, p. 1229-1239, https://doi.org/10.1080/02755947.2016.1204388.","productDescription":"11 p.","startPage":"1229","endPage":"1239","ipdsId":"IP-066706","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":329258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Lees Ferry","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.63894653320311,\n 36.824676208856175\n ],\n [\n -111.63894653320311,\n 36.943855400282494\n ],\n [\n -111.47758483886719,\n 36.943855400282494\n ],\n [\n -111.47758483886719,\n 36.824676208856175\n ],\n [\n -111.63894653320311,\n 36.824676208856175\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-30","publicationStatus":"PW","scienceBaseUri":"57f7c63ae4b0bc0bec09c81c","contributors":{"authors":[{"text":"Bair, Lucas S. 0000-0002-9911-3624 lbair@usgs.gov","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":5270,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","email":"lbair@usgs.gov","middleInitial":"S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":649934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogowski, David L.","contributorId":175084,"corporation":false,"usgs":false,"family":"Rogowski","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":27527,"text":"AZ Game and FIsh Department","active":true,"usgs":false}],"preferred":false,"id":649935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neher, Christopher","contributorId":175085,"corporation":false,"usgs":false,"family":"Neher","given":"Christopher","email":"","affiliations":[{"id":27528,"text":"Uni. of Montana, Dept. of Mathematical Sciences","active":true,"usgs":false}],"preferred":false,"id":649936,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176705,"text":"70176705 - 2016 - Influence of bromide on the performance of the amphipod Hyalella azteca in reconstituted waters","interactions":[],"lastModifiedDate":"2018-08-07T11:54:52","indexId":"70176705","displayToPublicDate":"2016-10-03T17:15:00","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":"Influence of bromide on the performance of the amphipod Hyalella azteca in reconstituted waters","docAbstract":"Poor performance of the amphipod Hyalella azteca has been observed in exposures using reconstituted waters. Previous studies have reported success in H. azteca water-only exposures with the addition of relatively high concentrations of bromide. The present study evaluated the influence of lower environmentally representative concentrations of bromide on the response ofH. azteca in 42-d water-only exposures. Improved performance of H. azteca was observed in reconstituted waters with >0.02 mg Br/L.
","language":"English","publisher":"SETAC Press","doi":"10.1002/etc.3421","usgsCitation":"Ivey, C.D., and Ingersoll, C.G., 2016, Influence of bromide on the performance of the amphipod Hyalella azteca in reconstituted waters: Environmental Toxicology and Chemistry, v. 35, no. 10, p. 2425-2429, https://doi.org/10.1002/etc.3421.","productDescription":"5 p.","startPage":"2425","endPage":"2429","ipdsId":"IP-071175","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":329244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-07","publicationStatus":"PW","scienceBaseUri":"57f7c63ae4b0bc0bec09c822","contributors":{"authors":[{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":649952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":649953,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176468,"text":"sir20165131 - 2016 - Paleomagnetic correlation of basalt flows in selected coreholes near the Advanced Test Reactor Complex, the Idaho Nuclear Technology and Engineering Center, and along the southern boundary, Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2016-10-04T10:41:58","indexId":"sir20165131","displayToPublicDate":"2016-10-03T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5131","title":"Paleomagnetic correlation of basalt flows in selected coreholes near the Advanced Test Reactor Complex, the Idaho Nuclear Technology and Engineering Center, and along the southern boundary, Idaho National Laboratory, Idaho","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, used paleomagnetic data from 18 coreholes to construct three cross sections of subsurface basalt flows in the southern part of the Idaho National Laboratory (INL). These cross sections, containing descriptions of the subsurface horizontal and vertical distribution of basalt flows and sediment layers, will be used in geological studies, and to construct numerical models of groundwater flow and contaminant transport.
Subsurface cross sections were used to correlate surface vents to their subsurface flows intersected by coreholes, to correlate subsurface flows between coreholes, and to identify possible subsurface vent locations of subsurface flows. Correlations were identified by average paleomagnetic inclinations of flows, and depth from land surface in coreholes, normalized to the North American Datum of 1927. Paleomagnetic data were combined, in some cases, with other data, such as radiometric ages of flows. Possible vent locations of buried basalt flows were identified by determining the location of the maximum thickness of flows penetrated by more than one corehole.
Flows from the surface volcanic vents Quaking Aspen Butte, Vent 5206, Mid Butte, Lavatoo Butte, Crater Butte, Pond Butte, Vent 5350, Vent 5252, Tin Cup Butte, Vent 4959, Vent 5119, and AEC Butte are found in coreholes, and were correlated to the surface vents by matching their paleomagnetic inclinations, and in some cases, their stratigraphic positions.
Some subsurface basalt flows that do not correlate to surface vents, do correlate over several coreholes, and may correlate to buried vents. Subsurface flows which correlate across several coreholes, but not to a surface vent include the D3 flow, the Big Lost flow, the CFA buried vent flow, the Early, Middle, and Late Basal Brunhes flows, the South Late Matuyama flow, the Matuyama flow, and the Jaramillo flow. The location of vents buried in the subsurface by younger basalt flows can be inferred if their flows are penetrated by several coreholes, by tracing the flows in the subsurface, and determining where the greatest thickness occurs.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165131","collaboration":"DOE/ID-22240Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
http://id.water.usgs.gov
Restoration of tidal flows to formerly diked marshland can alter land-to-sea fluxes and patterns of accumulation of terrestrial sediment and organic matter, and these tidal flows can also affect existing nearshore habitats. Dikes were removed from 308 hectares (ha) of the Nisqually National Wildlife Refuge on the Nisqually River Delta in south Puget Sound, Washington, in fall 2009 to improve habitat for wildlife, such as juvenile salmon. Ecologically important intertidal and subtidal eelgrass (Zostera marina) beds grow on the north and west margins of the delta. The goal of this study was to understand long-term changes in eelgrass habitat and their relation to dike removal. Sediment and eelgrass properties were monitored annually in May from 2010 to 2014 at two sites on the west side of the Nisqually River Delta along McAllister Creek, a spring-fed creek near two restored tidal channels. In May 2014, the mean canopy height of eelgrass was the same as in previous years in an 8-ha bed extending to the Nisqually River Delta front, but mean canopy height was 20 percent lower in a 0.3-ha eelgrass bed closer to the restored marsh when compared to mean canopy height of eelgrass in May 2010, 6 months after dike removal was completed. Over 5 years, the amount of eelgrass leaf area per square meter (m2) in the 8-ha bed increased slightly, and surface-sediment grain size became finer. In contrast, in the 0.3-ha bed, eelgrass leaf area per m2 decreased by 45 percent, and surface sediment coarsened. Other potential stressors, including sediment pore water reduction-oxidation potential (redox) and hydrogen sulfide (H2S) concentration in the eelgrass rhizosphere, or root zone, were below levels that negatively affect eelgrass growth and therefore did not appear to be environmental stressors on plants. Eelgrass biomass partitioning, though less favorable in the 8-ha eelgrass bed compared to the 0.3-ha one, was well above the critical above-ground to below-ground biomass ratio of 2:1 for Z. marina, an indication that these plants were not at risk of a carbon deficit during low-light conditions. After 5 years, nearshore changes associated with the restoration of tidal flows to formerly diked marshes of the Nisqually River Delta appeared to have little impact on the large eelgrass bed extending from Luhr Beach to the Nisqually River Delta front; however, restoration appears to be contributing to the decline of a small eelgrass bed closer to the restoration area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161169","usgsCitation":"Takesue, R.K., 2016, Environmental and eelgrass response to dike removal: Nisqually River Delta (2010–14): U.S. Geological Survey Open-File Report 2016–1169, 17 p., https://dx.doi.org/10.3133/ofr20161169.","productDescription":"vi, 17 p.","numberOfPages":"25","onlineOnly":"Y","ipdsId":"IP-064121","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":329008,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1169/ofr20161169.pdf","text":"Report","size":"3.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1169"},{"id":329007,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1169/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":" Nisqually River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.73556709289551,\n 47.06760800518024\n ],\n [\n -122.73556709289551,\n 47.10997630516621\n ],\n [\n -122.68183708190917,\n 47.10997630516621\n ],\n [\n -122.68183708190917,\n 47.06760800518024\n ],\n [\n -122.73556709289551,\n 47.06760800518024\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
http://wa.water.usgs.gov
Groundwater quality in the 48-square-mile Santa Barbara study unit was investigated in 2011 as part of the California State Water Resources Control Board’s Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project. The study unit is mostly in Santa Barbara County and is in the Transverse and Selected Peninsular Ranges hydrogeologic province. The GAMA Priority Basin Project is carried out by the U.S. Geological Survey in collaboration with the California State Water Resources Control Board and Lawrence Livermore National Laboratory.
The GAMA Priority Basin Project was designed to provide a statistically unbiased, spatially distributed assessment of the quality of untreated groundwater in the primary aquifer system of California. The primary aquifer system is defined as that part of the aquifer corresponding to the perforation interval of wells listed in the California Department of Public Health database for the Santa Barbara study unit. This status assessment is intended to characterize the quality of groundwater resources in the primary aquifer system of the Santa Barbara study unit, not the treated drinking water delivered to consumers by water purveyors.
The status assessment for the Santa Barbara study unit was based on water-quality and ancillary data collected in 2011 by the U.S. Geological Survey from 23 sites and on water-quality data from the California Department of Public Health database for January 24, 2008–January 23, 2011. The data used for the assessment included volatile organic compounds; pesticides; pharmaceutical compounds; two constituents of special interest, perchlorate and N-nitrosodimethylamine (NDMA); and naturally present inorganic constituents, such as major ions and trace elements. Relative-concentrations (sample concentration divided by the health- or aesthetic-based benchmark concentration) were used to evaluate groundwater quality for those constituents that have federal or California regulatory and non-regulatory benchmarks for drinking-water quality. For inorganic, organic, and special-interest constituents, a relative-concentration greater than 1.0 indicates a concentration greater than the benchmark and is classified as high. Inorganic constituents are classified as moderate if relative-concentrations are greater than 0.5 and less than or equal to 1.0 and are classified as low if relative-concentrations are less than or equal to 0.5. For organic and special-interest constituents, the boundary between moderate and low relative-concentrations was set at 0.1.
Aquifer-scale proportion was used as the primary metric for evaluating regional-scale groundwater quality. High aquifer-scale proportion is defined as the areal percentage of the primary aquifer system with a relative-concentration greater than 1.0 for a particular constituent or class of constituents. Moderate and low aquifer-scale proportions were defined as the areal percentage of the primary aquifer system that had moderate and low relative-concentrations, respectively. Two statistical approaches—grid based and spatially weighted—were used to calculate aquifer-scale proportions for individual constituents and constituent classes. Grid-based and spatially weighted estimates were comparable in this the study (within 90-percent confidence intervals). Grid-based results were selected for use in the status assessment unless, as was observed in a few cases, a grid-based result was zero and the spatially weighted result was not zero, in which case, the spatially weighted result was used.
Inorganic constituents that have human-health benchmarks were present at high relative-concentrations in 5.3 percent of the primary aquifer system and at moderate concentrations in 32 percent. High aquifer-scale proportions of inorganic constituents primarily were a result of high aquifer-scale proportions of boron (5.3 percent) and fluoride (5.3 percent). Inorganic constituents that have aesthetic-based benchmarks, referred to as secondary maximum contaminant levels, were present at high relative-concentrations in 58 percent of the primary aquifer system and at moderate concentrations in 37 percent. Iron, manganese, sulfate, and total dissolved solids were the inorganic constituents with secondary maximum contaminant levels present at high relative-concentrations.
In contrast, organic and special-interest constituents that have health-based benchmarks were not detected at high relative-concentrations in the primary aquifer system. Of the 218 organic constituents analyzed, 10 were detected—9 that had human-health benchmarks. Organic constituents were present at moderate relative-concentrations in 11 percent of the primary aquifer system. The moderate aquifer-scale proportions were a result of moderate relative-concentrations of the volatile organic compounds methyl tert-butyl ether (MTBE, 11 percent) and 1,2-dichloroethane (5.6 percent). The volatile organic compounds 1,1,1-trichloroethane, 1,1-dichloroethane, bromodichloromethane, chloroform, MTBE, and perchloroethene (PCE); the pesticide simazine; and the special-interest constituent perchlorate were detected at more than 10 percent of the sites in the Santa Barbara study unit. Perchlorate was present at moderate relative-concentrations in 50 percent of the primary aquifer system. Pharmaceutical compounds and NDMA were not detected in the Santa Barbara study unit.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165112","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Davis, T.A., and Kulongoski, J.T., 2016, Status of groundwater quality in the Santa Barbara Study Unit, 2011: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2016–5112, 70 p., https://dx.doi.org/10.3133/sir20165112.","productDescription":"viii, 70 p.","numberOfPages":"82","ipdsId":"IP-077335","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":329221,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5112/sir20165112.pdf","text":"Report","size":"14.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5112"},{"id":329220,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5112/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Study Unit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.92813110351561,\n 34.37461214493789\n ],\n [\n -119.92813110351561,\n 34.47203335543746\n ],\n [\n -119.43237304687499,\n 34.47203335543746\n ],\n [\n -119.43237304687499,\n 34.37461214493789\n ],\n [\n -119.92813110351561,\n 34.37461214493789\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program","contact":"Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
http://ca.water.usgs.gov
Groundwater provides more than 40 percent of California’s drinking water. To protect this vital resource, the State of California established the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project of the GAMA Program provides a comprehensive assessment of the State’s groundwater quality and increases public access to groundwater-quality information. The Santa Barbara Coastal Plain is one of the study units.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163058","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Davis, T.A., and Belitz, Kenneth, 2016, Groundwater Quality in the Santa Barbara Coastal Plain, California: U.S. Geological Survey Fact Sheet 2016-3058, 4 p., https://dx.doi.org/10.3133/fs20163058.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-057260","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":329225,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3058/coverthb.jpg"},{"id":329226,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3058/fs20163058.pdf","text":"Report","size":"2.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3058"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Study Unit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.91645812988283,\n 34.35137289731883\n ],\n [\n -119.91645812988283,\n 34.51560953848204\n ],\n [\n -119.42481994628906,\n 34.51560953848204\n ],\n [\n -119.42481994628906,\n 34.35137289731883\n ],\n [\n -119.91645812988283,\n 34.35137289731883\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Technical reports and hydrologic data collected for the GAMA Program may be obtained from
GAMA Project Chief
U.S. Geological Survey
California Water Science Center
6000 J Street, Placer Hall
Sacramento, CA 95819
Telephone number: (916) 278-3100
WEB: http://ca.water.usgs.gov/gama
GAMA Program Unit Chief
State Water Resources Control Board
Division of Water Quality
PO Box 2231, Sacramento, CA 95812
Telephone number: (916) 341-5779
WEB:http://www.waterboards.ca.gov/gama
We evaluated long-term trends and predictors of groundwater levels by month from two well-studied northern New England forested headwater glacial aquifers: Sleepers River, Vermont, 44 wells, 1992-2013; and Hubbard Brook, New Hampshire, 15 wells, 1979-2004. Based on Kendall Tau tests with Sen slope determination, a surprising number of well-month combinations had negative trends (decreasing water levels) over the respective periods. Sleepers River had slightly more positive than negative trends overall, but among the significant trends (p < 0.1), negative trends dominated 67 to 40. At Hubbard Brook, negative trends outnumbered positive trends by a nearly 2:1 margin and all seven of the significant trends were negative. The negative trends occurred despite generally increasing trends in monthly and annual precipitation. This counterintuitive pattern may be a result of increased precipitation intensity causing higher runoff at the expense of recharge, such that evapotranspiration demand draws down groundwater storage. We evaluated predictors of month-end water levels by multiple regression of 18 variables related to climate, streamflow, snowpack, and prior month water level. Monthly flow and prior month water level were the two strongest predictors for most months at both sites. The predictive power and ready availability of streamflow data can be exploited as a proxy to extend limited groundwater level records over longer time periods.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12432","usgsCitation":"Shanley, J.B., Chalmers, A.T., Mack, T.J., Smith, T.E., and Harte, P.T., 2016, Groundwater level trends and drivers in two northern New England glacial aquifers: Journal of the American Water Resources Association, v. 52, no. 5, p. 1012-1030, https://doi.org/10.1111/1752-1688.12432.","productDescription":"19 p.","startPage":"1012","endPage":"1030","ipdsId":"IP-073002","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":347494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire, Vermont","otherGeospatial":"Mirror Lake basin, Sleepers River Research Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.26060821324687,\n 44.57330638859074\n ],\n [\n -72.26060821324687,\n 44.43408825538009\n ],\n [\n -72.06845741944598,\n 44.43408825538009\n ],\n [\n -72.06845741944598,\n 44.57330638859074\n ],\n [\n -72.26060821324687,\n 44.57330638859074\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.76650617204419,\n 44.1\n ],\n [\n -71.76650617204419,\n 43.9\n ],\n [\n -71.5316552018435,\n 43.9\n ],\n [\n -71.5316552018435,\n 44.1\n ],\n [\n -71.76650617204419,\n 44.1\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-19","publicationStatus":"PW","scienceBaseUri":"59f83a3be4b063d5d3098106","contributors":{"authors":[{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalmers, Ann T. 0000-0002-5199-8080 chalmers@usgs.gov","orcid":"https://orcid.org/0000-0002-5199-8080","contributorId":1443,"corporation":false,"usgs":true,"family":"Chalmers","given":"Ann","email":"chalmers@usgs.gov","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mack, Thomas J. 0000-0002-0496-3918 tjmack@usgs.gov","orcid":"https://orcid.org/0000-0002-0496-3918","contributorId":1677,"corporation":false,"usgs":true,"family":"Mack","given":"Thomas","email":"tjmack@usgs.gov","middleInitial":"J.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Thor E. tesmith@usgs.gov","contributorId":3925,"corporation":false,"usgs":true,"family":"Smith","given":"Thor","email":"tesmith@usgs.gov","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715851,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178579,"text":"70178579 - 2016 - Remote estimation of surface pCO2 on the West Florida Shelf","interactions":[],"lastModifiedDate":"2018-08-07T14:13:27","indexId":"70178579","displayToPublicDate":"2016-10-01T14:13:20","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Remote estimation of surface pCO2 on the West Florida Shelf","title":"Remote estimation of surface pCO2 on the West Florida Shelf","docAbstract":"Surface pCO2 data from the West Florida Shelf (WFS) have been collected during 25 cruise surveys between 2003 and 2012. The data were scaled up using remote sensing measurements of surface water properties in order to provide a more nearly synoptic map of pCO2 spatial distributions and describe their temporal variations. This investigation involved extensive tests of various model forms through parsimony and Principal Component Analysis, which led to the development of a multi-variable empirical surface pCO2 model based on concurrent MODIS (Moderate Resolution Imaging Spectroradiometer) estimates of surface chlorophyll a concentrations (CHL, mg m−3), diffuse light attenuation at 490 nm (Kd_Lee, m−1), and sea surface temperature (SST, °C). Validation using an independent dataset showed a pCO2 Root Mean Square Error (RMSE) of <12 µatm and a 0.88 coefficient of determination (R2) for measured and model-predicted pCO2 ranging from 300 to 550 µatm. The model was more sensitive to SST than to CHL and Kd_Lee, with a 1 °C change in SST leading to a ~16 µatm change in the predicted pCO2. Application of the model to the entire WFS MODIS time series between 2002 and 2014 showed clear seasonality, with maxima (~450 µatm) in summer and minima (~350 µatm) in winter. The seasonality was positively correlated to SST (high in summer and low in winter) and negatively correlated to CHL and Kd_Lee (high in winter and low in summer). Inter-annual variations of pCO2 were consistent with inter-annual variations of SST, CHL, and Kd_Lee. These results suggest that surface water pCO2 of the WFS can be estimated, with known uncertainties, from remote sensing. However, while the general approach of empirical regression may work for waters from other areas of the Gulf of Mexico, model coefficients need to be empirically determined in a similar fashion.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2016.09.004","usgsCitation":"Chen, S., Hu, C., Byrne, R., Robbins, L.L., and Yang, B., 2016, Remote estimation of surface pCO2 on the West Florida Shelf: Continental Shelf Research, v. 128, p. 10-25, https://doi.org/10.1016/j.csr.2016.09.004.","productDescription":"16 p.","startPage":"10","endPage":"25","ipdsId":"IP-071209","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":462067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.csr.2016.09.004","text":"Publisher Index Page"},{"id":356293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"West Florida Shelf","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85,\n 24\n ],\n [\n -80,\n 24\n ],\n [\n -80,\n 30\n ],\n [\n -85,\n 30\n ],\n [\n -85,\n 24\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"128","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc864e4b0f5d57878ec28","contributors":{"authors":[{"text":"Chen, Shuangling","contributorId":177054,"corporation":false,"usgs":false,"family":"Chen","given":"Shuangling","email":"","affiliations":[],"preferred":false,"id":654429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hu, Chuanmin","contributorId":177055,"corporation":false,"usgs":false,"family":"Hu","given":"Chuanmin","email":"","affiliations":[],"preferred":false,"id":654430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrne, Robert H.","contributorId":83260,"corporation":false,"usgs":true,"family":"Byrne","given":"Robert H.","affiliations":[],"preferred":false,"id":654431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":654428,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yang, Bo","contributorId":149369,"corporation":false,"usgs":false,"family":"Yang","given":"Bo","email":"","affiliations":[{"id":13653,"text":"University South Florida","active":true,"usgs":false}],"preferred":false,"id":741896,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70179552,"text":"70179552 - 2016 - Linking field-based metabolomics and chemical analyses to prioritize contaminants of emerging concern in the Great Lakes basin","interactions":[],"lastModifiedDate":"2018-08-07T12:27:16","indexId":"70179552","displayToPublicDate":"2016-10-01T00:00:00","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":"Linking field-based metabolomics and chemical analyses to prioritize contaminants of emerging concern in the Great Lakes basin","docAbstract":"The ability to focus on the most biologically relevant contaminants affecting aquatic ecosystems can be challenging because toxicity-assessment programs have not kept pace with the growing number of contaminants requiring testing. Because it has proven effective at assessing the biological impacts of potentially toxic contaminants, profiling of endogenous metabolites (metabolomics) may help screen out contaminants with a lower likelihood of eliciting biological impacts, thereby prioritizing the most biologically important contaminants. The authors present results from a study that utilized cage-deployed fathead minnows (Pimephales promelas) at 18 sites across the Great Lakes basin. They measured water temperature and contaminant concentrations in water samples (132 contaminants targeted, 86 detected) and used 1H-nuclear magnetic resonance spectroscopy to measure endogenous metabolites in polar extracts of livers. They used partial least-squares regression to compare relative abundances of endogenous metabolites with contaminant concentrations and temperature. The results indicated that profiles of endogenous polar metabolites covaried with at most 49 contaminants. The authors identified up to 52% of detected contaminants as not significantly covarying with changes in endogenous metabolites, suggesting they likely were not eliciting measurable impacts at these sites. This represents a first step in screening for the biological relevance of detected contaminants by shortening lists of contaminants potentially affecting these sites. Such information may allow risk assessors to prioritize contaminants and focus toxicity testing on the most biologically relevant contaminants. Environ Toxicol Chem 2016;35:2493–2502.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.3409","usgsCitation":"Davis, J.M., Ekman, D.R., Teng, Q., Ankley, G., Berninger, J., Cavallin, J.E., Jensen, K.M., Kahl, M.D., Schroeder, A.L., Villeneuve, D.L., Jorgenson, Z.G., Lee, K., and Collette, T., 2016, Linking field-based metabolomics and chemical analyses to prioritize contaminants of emerging concern in the Great Lakes basin: Environmental Toxicology and Chemistry, v. 35, no. 10, p. 2493-2502, https://doi.org/10.1002/etc.3409.","productDescription":"10 p.","startPage":"2493","endPage":"2502","ipdsId":"IP-068621","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":332905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-30","publicationStatus":"PW","scienceBaseUri":"586e1823e4b0f5ce109fcae1","contributors":{"authors":[{"text":"Davis, John M.","contributorId":177967,"corporation":false,"usgs":false,"family":"Davis","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":657678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ekman, Drew R.","contributorId":12785,"corporation":false,"usgs":true,"family":"Ekman","given":"Drew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":657679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teng, Quincy","contributorId":177969,"corporation":false,"usgs":false,"family":"Teng","given":"Quincy","email":"","affiliations":[],"preferred":false,"id":657680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ankley, Gerald T.","contributorId":177970,"corporation":false,"usgs":false,"family":"Ankley","given":"Gerald T.","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":657681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berninger, Jason P.","contributorId":173602,"corporation":false,"usgs":false,"family":"Berninger","given":"Jason P.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":657682,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cavallin, Jenna E.","contributorId":146304,"corporation":false,"usgs":false,"family":"Cavallin","given":"Jenna","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":657683,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jensen, Kathleen M.","contributorId":84492,"corporation":false,"usgs":true,"family":"Jensen","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":657684,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kahl, Michael D.","contributorId":146306,"corporation":false,"usgs":false,"family":"Kahl","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":657685,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schroeder, Anthony L.","contributorId":173596,"corporation":false,"usgs":false,"family":"Schroeder","given":"Anthony","email":"","middleInitial":"L.","affiliations":[{"id":12503,"text":"University of Minnesota - Saint Paul","active":true,"usgs":false},{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":657686,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Villeneuve, Daniel L.","contributorId":141084,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":657687,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jorgenson, Zachary G.","contributorId":69476,"corporation":false,"usgs":false,"family":"Jorgenson","given":"Zachary","email":"","middleInitial":"G.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":657688,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":657677,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Collette, Timothy W.","contributorId":15936,"corporation":false,"usgs":true,"family":"Collette","given":"Timothy W.","affiliations":[],"preferred":false,"id":657689,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70179072,"text":"70179072 - 2016 - A case study on evaluating impacts of potential climate change on groundwater resources: Groundwater recharge in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2016-12-20T11:43:51","indexId":"70179072","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"A case study on evaluating impacts of potential climate change on groundwater resources: Groundwater recharge in the Upper Colorado River Basin","docAbstract":"An investigation of the change in groundwater recharge in response to potential climate change\nwas performed for the UCRB using the SWB groundwater recharge model and downscaled\nclimate data from the CMIP5 multi-model dataset. Climate projections from 97 downscaled\nCMIP5 datasets were assumed to be equally likely and recharge simulation results were\ncombined. Results for the UCRB suggest that projected increases in actual ET from higher\ntemperatures may be offset by increases in precipitation, resulting in increased groundwater\nrecharge for many areas in the basin in future time periods.","language":"English","publisher":"Bureau of Reclamation","collaboration":"Bureau of Reclamation","usgsCitation":"Tillman, F.D., Gangopadhyay, S., and Pruitt, T., 2016, A case study on evaluating impacts of potential climate change on groundwater resources: Groundwater recharge in the Upper Colorado River Basin, ii., 20 p.","productDescription":"ii., 20 p.","ipdsId":"IP-066612","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":332339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":332146,"type":{"id":15,"text":"Index Page"},"url":"https://www.usbr.gov/watersmart/wcra/docs/techmemoclimatechangeongroundwaterresources.pdf"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.2802734375,\n 37.142803443716836\n ],\n [\n -110.3466796875,\n 39.50404070558415\n ],\n [\n -107.81982421874999,\n 40.111688665595956\n ],\n [\n -105.556640625,\n 39.8928799002948\n ],\n [\n -106.01806640624999,\n 37.03763967977139\n ],\n [\n -108.25927734375,\n 36.50963615733049\n ],\n [\n -112.30224609374999,\n 36.70365959719456\n ],\n [\n -112.2802734375,\n 37.142803443716836\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585a51bee4b01224f329b5e7","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":147809,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred","email":"ftillman@usgs.gov","middleInitial":"D.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gangopadhyay, Subhrendu 0000-0003-3864-8251","orcid":"https://orcid.org/0000-0003-3864-8251","contributorId":173439,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":655927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pruitt, Tom 0000-0002-3543-1324","orcid":"https://orcid.org/0000-0002-3543-1324","contributorId":173440,"corporation":false,"usgs":false,"family":"Pruitt","given":"Tom","email":"","affiliations":[{"id":27228,"text":"Reclamation","active":true,"usgs":false}],"preferred":false,"id":655928,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70184238,"text":"70184238 - 2016 - Potential interactions among disease, pesticides, water quality and adjacent land cover in amphibian habitats in the United States","interactions":[],"lastModifiedDate":"2018-08-09T12:24:22","indexId":"70184238","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Potential interactions among disease, pesticides, water quality and adjacent land cover in amphibian habitats in the United States","docAbstract":"To investigate interactions among disease, pesticides, water quality, and adjacent land cover, we collected samples of water, sediment, and frog tissue from 21 sites in 7 States in the United States (US) representing a variety of amphibian habitats. All samples were analyzed for > 90 pesticides and pesticide degradates, and water and frogs were screened for the amphibian chytrid fungus Batrachochytrium dendrobatidis (Bd) using molecular methods. Pesticides and pesticide degradates were detected frequently in frog breeding habitats (water and sediment) as well as in frog tissue. Fungicides occurred more frequently in water, sediment, and tissue than was expected based upon their limited use relative to herbicides or insecticides. Pesticide occurrence in water or sediment was not a strong predictor of occurrence in tissue, but pesticide concentrations in tissue were correlated positively to agricultural and urban land, and negatively to forested land in 2-km buffers around the sites. Bd was detected in water at 45% of sites, and on 34% of swabbed frogs. Bd detections in water were not associated with differences in land use around sites, but sites with detections had colder water. Frogs that tested positive for Bd were associated with sites that had higher total fungicide concentrations in water and sediment, but lower insecticide concentrations in sediments relative to frogs that were Bd negative. Bd concentrations on frog swabs were positively correlated to dissolved organic carbon, and total nitrogen and phosphorus, and negatively correlated to pH and water temperature.
Data were collected from a range of locations and amphibian habitats and represent some of the first field-collected information aimed at understanding the interactions between pesticides, land use, and amphibian disease. These interactions are of particular interest to conservation efforts as many amphibians live in altered habitats and may depend on wetlands embedded in these landscapes to survive.
","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.scitotenv.2016.05.062","usgsCitation":"Battaglin, W.A., Smalling, K., Anderson, C.W., Calhoun, D.L., Chestnut, T.E., and Muths, E.L., 2016, Potential interactions among disease, pesticides, water quality and adjacent land cover in amphibian habitats in the United States: Science of the Total Environment, v. 566-567, p. 320-332, https://doi.org/10.1016/j.scitotenv.2016.05.062.","productDescription":"13 p.","startPage":"320","endPage":"332","ipdsId":"IP-073673","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":336833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Colorado, Georgia, Idaho, 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","email":"ksmall@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":680689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":140160,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey","email":"chauncey@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":680690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calhoun, Daniel L. 0000-0003-2371-6936 dcalhoun@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-6936","contributorId":1455,"corporation":false,"usgs":true,"family":"Calhoun","given":"Daniel","email":"dcalhoun@usgs.gov","middleInitial":"L.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":680691,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chestnut, Tara E. chestnut@usgs.gov","contributorId":3921,"corporation":false,"usgs":true,"family":"Chestnut","given":"Tara","email":"chestnut@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":680692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":680693,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70179746,"text":"70179746 - 2016 - Flow reconstructions in the Upper Missouri River Basin using riparian tree rings","interactions":[],"lastModifiedDate":"2017-01-17T10:51:33","indexId":"70179746","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Flow reconstructions in the Upper Missouri River Basin using riparian tree rings","docAbstract":"River flow reconstructions are typically developed using tree rings from montane conifers that cannot reflect flow regulation or hydrologic inputs from the lower portions of a watershed. Incorporating lowland riparian trees may improve the accuracy of flow reconstructions when these trees are physically linked to the alluvial water table. We used riparian plains cottonwoods (Populus deltoides ssp. monilifera) to reconstruct discharge for three neighboring rivers in the Upper Missouri River Basin: the Yellowstone (n = 389 tree cores), Powder (n = 408), and Little Missouri Rivers (n = 643). We used the Regional Curve Standardization approach to reconstruct log-transformed discharge over the 4 months in early summer that most highly correlated to tree ring growth. The reconstructions explained at least 57% of the variance in historical discharge and extended back to 1742, 1729, and 1643. These are the first flow reconstructions for the Lower Yellowstone and Powder Rivers, and they are the furthest downstream among Rocky Mountain rivers in the Missouri River Basin. Although mostly free-flowing, the Yellowstone and Powder Rivers experienced a shift from early-summer to late-summer flows within the last century. This shift is concurrent with increasing irrigation and reservoir storage, and it corresponds to decreased cottonwood growth. Low-frequency flow patterns revealed wet conditions from 1870 to 1980, a period that includes the majority of the historical record. The 1816–1823 and 1861–1865 droughts were more severe than any recorded, revealing that drought risks are underestimated when using the instrumental record alone.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016WR018845","usgsCitation":"Schook, D.M., Friedman, J.M., and Rathburn, S.L., 2016, Flow reconstructions in the Upper Missouri River Basin using riparian tree rings: Water Resources Research, v. 52, no. 10, p. 8159-8173, https://doi.org/10.1002/2016WR018845.","productDescription":"15 p.","startPage":"8159","endPage":"8173","ipdsId":"IP-073511","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":462071,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr018845","text":"Publisher Index Page"},{"id":333238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-21","publicationStatus":"PW","scienceBaseUri":"587f3c31e4b0d96de2564549","contributors":{"authors":[{"text":"Schook, Derek M.","contributorId":178325,"corporation":false,"usgs":false,"family":"Schook","given":"Derek","email":"","middleInitial":"M.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":658512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":658511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rathburn, Sara L.","contributorId":140606,"corporation":false,"usgs":false,"family":"Rathburn","given":"Sara","email":"","middleInitial":"L.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":658513,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70177052,"text":"70177052 - 2016 - Cultivation of a native alga for biomass and biofuel accumulation in coal bed methane production water","interactions":[],"lastModifiedDate":"2017-01-23T15:10:15","indexId":"70177052","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5275,"text":"Algal Research","active":true,"publicationSubtype":{"id":10}},"title":"Cultivation of a native alga for biomass and biofuel accumulation in coal bed methane production water","docAbstract":"Coal bed methane (CBM) production has resulted in thousands of ponds in the Powder River Basin of low-quality water in a water-challenged region. A green alga isolate, PW95, was isolated from a CBM production pond, and analysis of a partial ribosomal gene sequence indicated the isolate belongs to the Chlorococcaceae family. Different combinations of macro- and micronutrients were evaluated for PW95 growth in CBM water compared to a defined medium. A small level of growth was observed in unamended CBM water (0.15 g/l), and biomass increased (2-fold) in amended CBM water or defined growth medium. The highest growth rate was observed in CBM water amended with both N and P, and the unamended CBM water displayed the lowest growth rate. The highest lipid content (27%) was observed in CBM water with nitrate, and a significant level of lipid accumulation was not observed in the defined growth medium. Growth analysis indicated that nitrate deprivation coincided with lipid accumulation in CBM production water, and lipid accumulation did not increase with additional phosphorus limitation. The presented results show that CBM production wastewater can be minimally amended and used for the cultivation of a native, lipid-accumulating alga.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.algal.2016.07.014","usgsCitation":"Hodgskiss, L.H., Nagy, J., Barnhart, E.P., Cunningham, A.B., and Fields, M.W., 2016, Cultivation of a native alga for biomass and biofuel accumulation in coal bed methane production water: Algal Research, v. 19, p. 63-68, https://doi.org/10.1016/j.algal.2016.07.014.","productDescription":"6 p.","startPage":"63","endPage":"68","numberOfPages":"6","ipdsId":"IP-071048","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":470546,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1402508","text":"Publisher Index Page"},{"id":329643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.703125,\n 35.137879119634185\n ],\n [\n -90.703125,\n 36.99377838872517\n ],\n [\n -88.714599609375,\n 36.99377838872517\n ],\n [\n -88.714599609375,\n 35.137879119634185\n ],\n [\n -90.703125,\n 35.137879119634185\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.06201171875,\n 46.479482189368646\n ],\n [\n -105.1171875,\n 46.4605655457854\n ],\n [\n -105.8587646484375,\n 44.81691551782855\n ],\n [\n -105.7269287109375,\n 44.3670601700202\n ],\n [\n -105.7159423828125,\n 44.071800467511565\n ],\n [\n -106.11145019531249,\n 43.50872101129684\n ],\n [\n -106.40808105468749,\n 43.393073720674415\n ],\n [\n -106.644287109375,\n 43.45291889355465\n ],\n [\n -106.7706298828125,\n 43.600284023536325\n ],\n [\n -107.0343017578125,\n 44.25306865928177\n ],\n [\n -107.1112060546875,\n 45.03859654645257\n ],\n [\n -107.07824707031249,\n 45.463983441272724\n ],\n [\n -106.875,\n 45.80965764997408\n ],\n [\n -106.06201171875,\n 46.479482189368646\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5805e34ee4b0824b2d1c24ba","contributors":{"authors":[{"text":"Hodgskiss, Logan H.","contributorId":175445,"corporation":false,"usgs":false,"family":"Hodgskiss","given":"Logan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":651145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagy, Justin","contributorId":175446,"corporation":false,"usgs":false,"family":"Nagy","given":"Justin","email":"","affiliations":[],"preferred":false,"id":651146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393 epbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":5385,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","email":"epbarnhart@usgs.gov","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cunningham, Alfred B.","contributorId":172389,"corporation":false,"usgs":false,"family":"Cunningham","given":"Alfred","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":651147,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fields, Matthew W.","contributorId":172391,"corporation":false,"usgs":false,"family":"Fields","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":651148,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70185034,"text":"70185034 - 2016 - Controls on selenium distribution and mobilization in an irrigated shallow groundwater system underlain by Mancos Shale, Uncompahgre River Basin, Colorado, USA","interactions":[],"lastModifiedDate":"2017-03-15T11:16:36","indexId":"70185034","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Controls on selenium distribution and mobilization in an irrigated shallow groundwater system underlain by Mancos Shale, Uncompahgre River Basin, Colorado, USA","docAbstract":"Elevated selenium (Se) concentrations in surface water and groundwater have become a concern in areas of the Western United States due to the deleterious effects of Se on aquatic ecosystems. Elevated Se concentrations are most prevalent in irrigated alluvial valleys underlain by Se-bearing marine shales where Se can be leached from geologic materials into the shallow groundwater and surface water systems. This study presents groundwater chemistry and solid-phase geochemical data from the Uncompahgre River Basin in Western Colorado, an irrigated alluvial landscape underlain by Se-rich Cretaceous marine shale. We analyzed Se species, major and trace elements, and stable nitrogen and oxygen isotopes of nitrate in groundwater and aquifer sediments to examine processes governing selenium release and transport in the shallow groundwater system. Groundwater Se concentrations ranged from below detection limit (< 0.5 μg L− 1) to 4070 μg L− 1, and primarily are controlled by high groundwater nitrate concentrations that maintain oxidizing conditions in the aquifer despite low dissolved oxygen concentrations. High nitrate concentrations in non-irrigated soils and nitrate isotopes indicate nitrate is largely derived from natural sources in the Mancos Shale and alluvial material. Thus, in contrast to areas that receive substantial NO3 inputs through inorganic fertilizer application, Se mitigation efforts that involve limiting NO3 application might have little impact on groundwater Se concentrations in the study area. Soluble salts are the primary source of Se to the groundwater system in the study area at-present, but they constitute a small percentage of the total Se content of core material. Sequential extraction results indicate insoluble Se is likely composed of reduced Se in recalcitrant organic matter or discrete selenide phases. Oxidation of reduced Se species that constitute the majority of the Se pool in the study area could be a potential source of Se in the future as soluble salts are progressively depleted.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.06.063","usgsCitation":"Mills, T.J., Mast, M.A., Thomas, J.C., and Keith, G.L., 2016, Controls on selenium distribution and mobilization in an irrigated shallow groundwater system underlain by Mancos Shale, Uncompahgre River Basin, Colorado, USA: Science of the Total Environment, v. 566-567, p. 1621-1631, https://doi.org/10.1016/j.scitotenv.2016.06.063.","productDescription":"11 p.","startPage":"1621","endPage":"1631","ipdsId":"IP-072320","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":337598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Uncompahgre River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.17550659179688,\n 38.41378642476067\n ],\n [\n -107.78961181640625,\n 38.41378642476067\n ],\n [\n -107.78961181640625,\n 38.79476766282312\n ],\n [\n -108.17550659179688,\n 38.79476766282312\n ],\n [\n -108.17550659179688,\n 38.41378642476067\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"566-567","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52cee4b0849ce97c86aa","contributors":{"authors":[{"text":"Mills, Taylor J. 0000-0001-7252-0521 tmills@usgs.gov","orcid":"https://orcid.org/0000-0001-7252-0521","contributorId":4658,"corporation":false,"usgs":true,"family":"Mills","given":"Taylor","email":"tmills@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":684024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Judith C. 0000-0001-7883-1419 juthomas@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":1468,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"juthomas@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684025,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keith, Gabrielle L. gkeith@usgs.gov","contributorId":5247,"corporation":false,"usgs":true,"family":"Keith","given":"Gabrielle","email":"gkeith@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684026,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185037,"text":"70185037 - 2016 - Integrating seasonal information on nutrients and benthic algal biomass into stream water quality monitoring","interactions":[],"lastModifiedDate":"2017-03-13T16:40:31","indexId":"70185037","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Integrating seasonal information on nutrients and benthic algal biomass into stream water quality monitoring","docAbstract":"Benthic chlorophyll a (BChl a) and environmental factors that influence algal biomass were measured monthly from February through October in 22 streams from three agricultural regions of the United States. At-site maximum BChl a ranged from 14 to 406 mg/m2 and generally varied with dissolved inorganic nitrogen (DIN): 8 out of 9 sites with at-site median DIN >0.5 mg/L had maximum BChl a >100 mg/m2. BChl aaccrued and persisted at levels within 50% of at-site maximum for only one to three months. No dominant seasonal pattern for algal biomass accrual was observed in any region. A linear model with DIN, water surface gradient, and velocity accounted for most of the cross-site variation in maximum chlorophyll a(adjusted R2 = 0.7), but was no better than a single value of DIN = 0.5 mg/L for distinguishing between low and high-biomass sites. Studies of nutrient enrichment require multiple samples to estimate algal biomass with sufficient precision given the magnitude of temporal variability of algal biomass. An effective strategy for regional stream assessment of nutrient enrichment could be based on a relation between maximum BChl a and DIN based on repeat sampling at sites selected to represent a gradient in nutrients and application of the relation to a larger number of sites with synoptic nutrient information.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12451","usgsCitation":"Konrad, C.P., and Munn, M.D., 2016, Integrating seasonal information on nutrients and benthic algal biomass into stream water quality monitoring: Journal of the American Water Resources Association, v. 52, no. 5, p. 1223-1237, https://doi.org/10.1111/1752-1688.12451.","productDescription":"15 p.","startPage":"1223","endPage":"1237","ipdsId":"IP-072819","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":470532,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12451","text":"Publisher Index Page"},{"id":337474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-22","publicationStatus":"PW","scienceBaseUri":"58c7afa0e4b0849ce9795e9a","contributors":{"authors":[{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munn, Mark D. 0000-0002-7154-7252 mdmunn@usgs.gov","orcid":"https://orcid.org/0000-0002-7154-7252","contributorId":976,"corporation":false,"usgs":true,"family":"Munn","given":"Mark","email":"mdmunn@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684032,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178381,"text":"70178381 - 2016 - Geologic history of Martian regolith breccia Northwest Africa 7034: Evidence for hydrothermal activity and lithologic diversity in the Martian crust","interactions":[],"lastModifiedDate":"2016-11-15T17:02:35","indexId":"70178381","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Geologic history of Martian regolith breccia Northwest Africa 7034: Evidence for hydrothermal activity and lithologic diversity in the Martian crust","docAbstract":"The timing and mode of deposition for Martian regolith breccia Northwest Africa (NWA) 7034 were determined by combining petrography, shape analysis, and thermochronology. NWA 7034 is composed of igneous, impact, and brecciated clasts within a thermally annealed submicron matrix of pulverized crustal rocks and devitrified impact/volcanic glass. The brecciated clasts are likely lithified portions of Martian regolith with some evidence of past hydrothermal activity. Represented lithologies are primarily ancient crustal materials with crystallization ages as old as 4.4 Ga. One ancient zircon was hosted by an alkali-rich basalt clast, confirming that alkalic volcanism occurred on Mars very early. NWA 7034 is composed of fragmented particles that do not exhibit evidence of having undergone bed load transport by wind or water. The clast size distribution is similar to terrestrial pyroclastic deposits. We infer that the clasts were deposited by atmospheric rainout subsequent to a pyroclastic eruption(s) and/or impact event(s), although the ancient ages of igneous components favor mobilization by impact(s). Despite ancient components, the breccia has undergone a single pervasive thermal event at 500–800°C, evident by groundmass texture and concordance of ~1.5 Ga dates for bulk rock K-Ar, U-Pb in apatite, and U-Pb in metamict zircons. The 1.5 Ga age is likely a thermal event that coincides with rainout/breccia lithification. We infer that the episodic process of regolith lithification dominated sedimentary processes during the Amazonian Epoch. The absence of pre-Amazonian high-temperature metamorphic events recorded in ancient zircons indicates source domains of static southern highland crust punctuated by episodic impact modification.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JE005143","usgsCitation":"McCubbin, F.M., Boyce, J.W., Novak-Szabo, T., Santos, A., Tartese, R., Muttik, N., Domokos, G., Vazquez, J.A., Keller, L.P., Moser, D.E., Jerolmack, D.J., Shearer, C.K., Steele, A., Elardo, S.M., Rahman, Z., Anand, M., Delhaye, T., and Agee, C.B., 2016, Geologic history of Martian regolith breccia Northwest Africa 7034: Evidence for hydrothermal activity and lithologic diversity in the Martian crust: Journal of Geophysical Research E: Planets, v. 121, no. 10, p. 2120-2149, https://doi.org/10.1002/2016JE005143.","productDescription":"30 p.","startPage":"2120","endPage":"2149","ipdsId":"IP-072126","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470534,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016je005143","text":"External 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Gabor","contributorId":176885,"corporation":false,"usgs":false,"family":"Domokos","given":"Gabor","email":"","affiliations":[],"preferred":false,"id":653887,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":653888,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Keller, Lindsay 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The seeps investigated are located at or updip of the nominal limit of methane clathrate hydrate stability. The acoustic identification of bubble streams was used to guide water column sampling in a 32 km2 region within the canyon's thalweg. By incorporating measurements of dissolved methane concentration with methane oxidation rates and current velocity into a steady-state box model, the total emission of methane to the water column in this region was estimated to be 12 kmol methane per day (range: 6 – 24 kmol methane per day). These analyses suggest this methane is largely retained inside the canyon walls below 300 m water depth, and that it is aerobically oxidized to near completion within the larger extent of Hudson Canyon. Based on estimated methane emissions and measured oxidation rates, the oxidation of this methane to dissolved CO2 is expected to have minimal influences on seawater pH. This article is protected by copyright. All rights reserved.","language":"English","publisher":"Wiley ","doi":"10.1002/2016GC006421","usgsCitation":"Weinsten, A., Navarrete, L., Ruppel, C., Weber, T., Leonte, M., Kellermann, M., Arrington, E., Valentine, D., Scranton, M., and Kessler, J.D., 2016, Determining the flux of methane into Hudson Canyon at the edge of methane clathrate hydrate stability: Geochemistry, Geophysics, Geosystems, v. 17, no. 10, p. 3882-3892, https://doi.org/10.1002/2016GC006421.","productDescription":"11 p. 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It includes calculations and measurements for stream network features and areal basin characteristics that cover a range of spatial and temporal scales and dimensions of watersheds. Construction and application of longitudinal profiles are described in terms of understanding the three-dimensional development of stream networks. A brief discussion of outstanding problems and directions for future work, particularly as they relate to water-resources management, is provided. 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