{"pageNumber":"549","pageRowStart":"13700","pageSize":"25","recordCount":68912,"records":[{"id":70123167,"text":"70123167 - 2014 - Decreased atmospheric sulfur deposition across the southeastern U.S.: When will watersheds release stored sulfate?","interactions":[],"lastModifiedDate":"2017-07-19T15:47:42","indexId":"70123167","displayToPublicDate":"2014-07-21T13:55:51","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Decreased atmospheric sulfur deposition across the southeastern U.S.: When will watersheds release stored sulfate?","docAbstract":"Emissions of sulfur dioxide (SO2) to the atmosphere lead to atmospheric deposition of sulfate (SO42-), which is the dominant strong acid anion causing acidification of surface waters and soils in the eastern United States (U.S.). Since passage of the Clean Air Act and its Amendments, atmospheric deposition of SO2 in this region has declined by over 80%, but few corresponding decreases in stream-water SO42- concentrations have been observed in unglaciated watersheds. We calculated SO42- mass balances for 27 forested, unglaciated watersheds from Pennsylvania to Georgia, by using total atmospheric deposition (wet plus dry) as input. Many of these watersheds still retain SO42-, unlike their counterparts in the northeastern U.S. and southern Canada. Our analysis showed that many of these watersheds should convert from retaining to releasing SO42- over the next two decades. The specific years when the watersheds crossover from retaining to releasing SO42- correspond to a general geographical pattern of later net watershed release from north to south. The single most important variable that explained the crossover year was the runoff ratio, defined as the ratio of annual mean stream discharge to precipitation. Percent clay content and mean soil depth were secondary factors in predicting crossover year. The conversion of watersheds from net SO42- retention to release anticipates more widespread reductions in stream-water SO42- concentrations in this region.","language":"English","publisher":"The American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/es501579s","usgsCitation":"Rice, K.C., Scanlon, T.M., Lynch, J.A., and Cosby, B.J., 2014, Decreased atmospheric sulfur deposition across the southeastern U.S.: When will watersheds release stored sulfate?: Environmental Science & Technology, v. 48, no. 17, p. 10071-10078, https://doi.org/10.1021/es501579s.","productDescription":"8 p.","startPage":"10071","endPage":"10078","ipdsId":"IP-056001","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":293311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"48","issue":"17","noUsgsAuthors":false,"publicationDate":"2014-08-11","publicationStatus":"PW","scienceBaseUri":"5406d9c6e4b044dc0e82892b","contributors":{"authors":[{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":1998,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":499909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scanlon, Todd M.","contributorId":178235,"corporation":false,"usgs":false,"family":"Scanlon","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":499910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynch, Jason A.","contributorId":55702,"corporation":false,"usgs":true,"family":"Lynch","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":499911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cosby, Bernard J.","contributorId":107578,"corporation":false,"usgs":true,"family":"Cosby","given":"Bernard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":499912,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70117159,"text":"70117159 - 2014 - Contaminant exposure of birds nesting in Green Bay, Wisconsin, USA","interactions":[],"lastModifiedDate":"2019-12-10T12:43:59","indexId":"70117159","displayToPublicDate":"2014-07-18T15:52:00","publicationYear":"2014","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":"Contaminant exposure of birds nesting in Green Bay, Wisconsin, USA","docAbstract":"

In earlier studies, elevated concentrations of polychlorinated biphenyl (PCB) and p,p'-dichlorodiphenyldichloroethylene (DDE) were reported in double-crested cormorant (Phalacrocorax auritus) eggs and tree swallow (Tachycineta bicolor) eggs and nestlings collected from lower Green Bay (WI, USA) in 1994 and 1995 and black-crowned night-heron (Nycticorax nycticorax) eggs collected in 1991. Comparable samples collected in 2010 and 2011 indicated that concentrations of PCBs were 35%, 62%, 70%, and 88% lower than in the early 1990s in tree swallow eggs, tree swallow nestlings, double-crested cormorant eggs, and black-crowned night-heron eggs, respectively; concentrations of DDE were 47%, 43%, 51%, and 80% lower, respectively. These declines are consistent with regional contaminant trends in other species. Concentrations of PCBs were higher in herring gull (Larus argentatus) than in black-crowned night-heron eggs collected from Green Bay in 2010; PCB concentrations in double-crested cormorant and tree swallow eggs were intermediate. The estimated toxicity of the PCB mixture in eggs of the insectivorous tree swallow was the equal to or greater than toxicity in the 3 piscivorous bird species. A multivariate analysis indicated that the composition percentage of lower-numbered PCB congeners was greater in eggs of the insectivorous tree swallow than in eggs of the 3 piscivorous species nesting in Green Bay. Dioxin and furan concentrations and the toxicity of these chemicals were also higher in tree swallows than these other waterbird species nesting in Green Bay.

","language":"English","publisher":"Wiley","doi":"10.1002/etc.2609","usgsCitation":"Custer, T.W., Dummer, P.M., Custer, C.M., Franson, J., and Jones, M., 2014, Contaminant exposure of birds nesting in Green Bay, Wisconsin, USA: Environmental Toxicology and Chemistry, v. 33, no. 8, p. 1832-1839, https://doi.org/10.1002/etc.2609.","productDescription":"8 p.","startPage":"1832","endPage":"1839","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054288","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":290491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Green Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.187255859375,\n 44.38669150215206\n ],\n [\n -87.8741455078125,\n 44.38669150215206\n ],\n [\n -87.8741455078125,\n 44.653024159812\n ],\n [\n -88.187255859375,\n 44.653024159812\n ],\n [\n -88.187255859375,\n 44.38669150215206\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-04-15","publicationStatus":"PW","scienceBaseUri":"53cd52a8e4b0b290850f4a7f","contributors":{"authors":[{"text":"Custer, Thomas W. 0000-0003-3170-6519 tcuster@usgs.gov","orcid":"https://orcid.org/0000-0003-3170-6519","contributorId":2835,"corporation":false,"usgs":true,"family":"Custer","given":"Thomas","email":"tcuster@usgs.gov","middleInitial":"W.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":495961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dummer, Paul M. 0000-0002-2055-9480","orcid":"https://orcid.org/0000-0002-2055-9480","contributorId":90665,"corporation":false,"usgs":true,"family":"Dummer","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":495963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":495960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Franson, J. Christian 0000-0002-0251-4238","orcid":"https://orcid.org/0000-0002-0251-4238","contributorId":95002,"corporation":false,"usgs":true,"family":"Franson","given":"J. Christian","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":495964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Michael","contributorId":44838,"corporation":false,"usgs":true,"family":"Jones","given":"Michael","affiliations":[],"preferred":false,"id":495962,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70117128,"text":"70117128 - 2014 - Riverbank filtration potential of pharmaceuticals in a wastewater-impacted stream","interactions":[],"lastModifiedDate":"2018-09-18T16:48:48","indexId":"70117128","displayToPublicDate":"2014-07-18T15:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Riverbank filtration potential of pharmaceuticals in a wastewater-impacted stream","docAbstract":"Pharmaceutical contamination of shallow groundwater is a substantial concern in effluent-dominated streams, due to high aqueous mobility, designed bioactivity, and effluent-driven hydraulic gradients. In October and December 2012, effluent contributed approximately 99% and 71%, respectively, to downstream flow in Fourmile Creek, Iowa, USA. Strong hydrologic connectivity was observed between surface-water and shallow-groundwater. Carbamazepine, sulfamethoxazole, and immunologically-related compounds were detected in groundwater at greater than 0.02 μg L−1 at distances up to 6 m from the stream bank. Direct aqueous-injection HPLC-MS/MS revealed 43% and 55% of 110 total pharmaceutical analytes in surface-water samples in October and December, respectively, with 16% and 6%, respectively, detected in groundwater approximately 20 m from the stream bank. The results demonstrate the importance of effluent discharge as a driver of local hydrologic conditions in an effluent-impacted stream and thus as a fundamental control on surface-water to groundwater transport of effluent-derived pharmaceutical contaminants.","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2014.06.028","usgsCitation":"Bradley, P.M., Barber, L.B., Duris, J.W., Foreman, W., Furlong, E.T., Hubbard, L.E., Hutchinson, K.J., Keefe, S.H., and Kolpin, D.W., 2014, Riverbank filtration potential of pharmaceuticals in a wastewater-impacted stream: Environmental Pollution, v. 193, p. 173-180, https://doi.org/10.1016/j.envpol.2014.06.028.","productDescription":"8 p.","startPage":"173","endPage":"180","numberOfPages":"8","ipdsId":"IP-057733","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":472868,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2014.06.028","text":"Publisher Index Page"},{"id":290488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290470,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envpol.2014.06.028"}],"country":"United States","state":"Iowa","city":"Ankeny","otherGeospatial":"Fourmile Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.671297,41.652082 ], [ -93.671297,41.776818 ], [ -93.541439,41.776818 ], [ -93.541439,41.652082 ], [ -93.671297,41.652082 ] ] ] } } ] }","volume":"193","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7111e4b0b2908510770f","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":495938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duris, Joseph W. 0000-0002-8669-8109 jwduris@usgs.gov","orcid":"https://orcid.org/0000-0002-8669-8109","contributorId":1981,"corporation":false,"usgs":true,"family":"Duris","given":"Joseph","email":"jwduris@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":495941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":495940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":495937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hubbard, Laura E. 0000-0003-3813-1500 lhubbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3813-1500","contributorId":4221,"corporation":false,"usgs":true,"family":"Hubbard","given":"Laura","email":"lhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495943,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hutchinson, Kasey J. khutchin@usgs.gov","contributorId":4223,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Kasey","email":"khutchin@usgs.gov","middleInitial":"J.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495944,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Keefe, Steffanie H. 0000-0002-3805-6101 shkeefe@usgs.gov","orcid":"https://orcid.org/0000-0002-3805-6101","contributorId":2843,"corporation":false,"usgs":true,"family":"Keefe","given":"Steffanie","email":"shkeefe@usgs.gov","middleInitial":"H.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":495942,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495939,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70115360,"text":"ofr20141137 - 2014 - Design of a sediment-monitoring gaging network on ephemeral tributaries of the Colorado River in Glen, Marble, and Grand Canyons, Arizona","interactions":[],"lastModifiedDate":"2018-03-21T15:45:42","indexId":"ofr20141137","displayToPublicDate":"2014-07-18T11:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1137","title":"Design of a sediment-monitoring gaging network on ephemeral tributaries of the Colorado River in Glen, Marble, and Grand Canyons, Arizona","docAbstract":"

Management of sediment in rivers downstream from dams requires knowledge of both the sediment supply and downstream sediment transport. In some dam-regulated rivers, the amount of sediment supplied by easily measured major tributaries may overwhelm the amount of sediment supplied by the more difficult to measure lesser tributaries. In this first class of rivers, managers need only know the amount of sediment supplied by these major tributaries. However, in other regulated rivers, the cumulative amount of sediment supplied by the lesser tributaries may approach the total supplied by the major tributaries. The Colorado River downstream from Glen Canyon has been hypothesized to be one such river. If this is correct, then management of sediment in the Colorado River in the part of Glen Canyon National Recreation Area downstream from the dam and in Grand Canyon National Park may require knowledge of the sediment supply from all tributaries. Although two major tributaries, the Paria and Little Colorado Rivers, are well documented as the largest two suppliers of sediment to the Colorado River downstream from Glen Canyon Dam, the contributions of sediment supplied by the ephemeral lesser tributaries of the Colorado River in the lowermost Glen Canyon, and Marble and Grand Canyons are much less constrained. Previous studies have estimated amounts of sediment supplied by these tributaries ranging from very little to almost as much as the amount supplied by the Paria River. Because none of these previous studies relied on direct measurement of sediment transport in any of the ephemeral tributaries in Glen, Marble, or Grand Canyons, there may be significant errors in the magnitudes of sediment supplies estimated during these studies. To reduce the uncertainty in the sediment supply by better constraining the sediment yield of the ephemeral lesser tributaries, the U.S. Geological Survey Grand Canyon Monitoring and Research Center established eight sediment-monitoring gaging stations beginning in 2000 on the larger of the previously ungaged tributaries of the Colorado River downstream from Glen Canyon Dam. The sediment-monitoring gaging stations consist of a downward-looking stage sensor and passive suspended-sediment samplers. Two stations are equipped with automatic pump samplers to collect suspended-sediment samples during flood events.

\n
\n

Directly measuring discharge and collecting suspended-sediment samples in these remote ephemeral streams during significant sediment-transporting events is nearly impossible; most significant run-off events are short-duration events (lasting minutes to hours) associated with summer thunderstorms. As the remote locations and short duration of these floods make it prohibitively expensive, if not impossible, to directly measure the discharge of water or collect traditional depth-integrated suspended-sediment samples, a method of calculating sediment loads was developed that includes documentation of stream stages by field instrumentation, modeling of discharges associated with these stages, and automatic suspended-sediment measurements. The approach developed is as follows (1) survey and model flood high-water marks using a two-dimensional hydrodynamic model, (2) create a stage-discharge relation for each site by combining the modeled flood flows with the measured stage record, (3) calculate the discharge record for each site using the stage-discharge relation and the measured stage record, and (4) calculate the instantaneous and cumulative sediment loads using the discharge record and suspended-sediment concentrations measured from samples collected with passive US U-59 samplers and ISCOTM pump samplers. This paper presents the design of the gaging network and briefly describes the methods used to calculate discharge and sediment loads. The design and methods herein can easily be used at other remote locations where discharge and sediment loads are required.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141137","usgsCitation":"Griffiths, R.E., Topping, D.J., Anderson, R., Hancock, G.S., and Melis, T., 2014, Design of a sediment-monitoring gaging network on ephemeral tributaries of the Colorado River in Glen, Marble, and Grand Canyons, Arizona: U.S. Geological Survey Open-File Report 2014-1137, iv, 21 p., https://doi.org/10.3133/ofr20141137.","productDescription":"iv, 21 p.","numberOfPages":"27","onlineOnly":"Y","ipdsId":"IP-055794","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":290452,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1137/pdf/ofr2014-1137.pdf"},{"id":290453,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141137.jpg"},{"id":290449,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1137/"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River;Glen Canyon;Grand Canyon;Marble Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.50,36.00 ], [ -112.50,37.00 ], [ -111.50,37.00 ], [ -111.50,36.00 ], [ -112.50,36.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5455e4b0b290850f5ab2","contributors":{"authors":[{"text":"Griffiths, Ronald E.","contributorId":76426,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":495603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":495602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Robert S.","contributorId":102396,"corporation":false,"usgs":true,"family":"Anderson","given":"Robert S.","affiliations":[],"preferred":false,"id":495605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hancock, Gregory S.","contributorId":85096,"corporation":false,"usgs":false,"family":"Hancock","given":"Gregory","email":"","middleInitial":"S.","affiliations":[{"id":6686,"text":"College of William and Mary","active":true,"usgs":false}],"preferred":false,"id":495604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melis, Theodore S. 0000-0003-0473-3968 tmelis@usgs.gov","orcid":"https://orcid.org/0000-0003-0473-3968","contributorId":1829,"corporation":false,"usgs":true,"family":"Melis","given":"Theodore S.","email":"tmelis@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":495601,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70110905,"text":"ds851 - 2014 - Geospatial database of estimates of groundwater discharge to streams in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2017-01-04T10:40:05","indexId":"ds851","displayToPublicDate":"2014-07-18T10:58:00","publicationYear":"2014","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":"851","title":"Geospatial database of estimates of groundwater discharge to streams in the Upper Colorado River Basin","docAbstract":"

The U.S. Geological Survey, as part of the Department of the Interior’s WaterSMART (Sustain and Manage America’s Resources for Tomorrow) initiative, compiled published estimates of groundwater discharge to streams in the Upper Colorado River Basin as a geospatial database. For the purpose of this report, groundwater discharge to streams is the baseflow portion of streamflow that includes contributions of groundwater from various flow paths. Reported estimates of groundwater discharge were assigned as attributes to stream reaches derived from the high-resolution National Hydrography Dataset. A total of 235 estimates of groundwater discharge to streams were compiled and included in the dataset. Feature class attributes of the geospatial database include groundwater discharge (acre-feet per year), method of estimation, citation abbreviation, defined reach, and 8-digit hydrologic unit code(s). Baseflow index (BFI) estimates of groundwater discharge were calculated using an existing streamflow characteristics dataset and were included as an attribute in the geospatial database. A comparison of the BFI estimates to the compiled estimates of groundwater discharge found that the BFI estimates were greater than the reported groundwater discharge estimates.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds851","usgsCitation":"Garcia, A., Masbruch, M.D., and Susong, D.D., 2014, Geospatial database of estimates of groundwater discharge to streams in the Upper Colorado River Basin: U.S. Geological Survey Data Series 851, Report: iv, 6 p.; Metadata; Spatial Data, https://doi.org/10.3133/ds851.","productDescription":"Report: iv, 6 p.; Metadata; Spatial Data","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049223","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":290447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds851.PNG"},{"id":290444,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/lookup/getspatial?ds851_UCRBBaseflow"},{"id":290445,"type":{"id":23,"text":"Spatial 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Center","active":true,"usgs":true}],"preferred":true,"id":494199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Susong, David D. ddsusong@usgs.gov","contributorId":1040,"corporation":false,"usgs":true,"family":"Susong","given":"David","email":"ddsusong@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494198,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70116982,"text":"70116982 - 2014 - Surface-groundwater interactions in hard rocks in Sardon Catchment of western Spain: an integrated modeling approach","interactions":[],"lastModifiedDate":"2014-07-22T08:35:45","indexId":"70116982","displayToPublicDate":"2014-07-18T09:34:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Surface-groundwater interactions in hard rocks in Sardon Catchment of western Spain: an integrated modeling approach","docAbstract":"The structural and hydrological complexity of hard rock systems (HRSs) affects dynamics of surface–groundwater interactions. These complexities are not well described or understood by hydrogeologists because simplified analyses typically are used to study HRSs. A transient, integrated hydrologic model (IHM) GSFLOW (Groundwater and Surface water FLOW) was calibrated and post-audited using 18 years of daily groundwater head and stream discharge data to evaluate the surface–groundwater interactions in semi-arid, ∼80 km2 granitic Sardon hilly catchment in Spain characterized by shallow water table conditions, relatively low storage, dense drainage networks and frequent, high intensity rainfall. The following hydrological observations for the Sardon Catchment, and more generally for HRSs were made: (i) significant bi-directional vertical flows occur between surface water and groundwater throughout the HRSs; (ii) relatively large groundwater recharge represents 16% of precipitation (P, 562 mm.y−1) and large groundwater exfiltration (∼11% of P) results in short groundwater flow paths due to a dense network of streams, low permeability and hilly topographic relief; deep, long groundwater flow paths constitute a smaller component of the water budget (∼1% of P); quite high groundwater evapotranspiration (∼5% of P and ∼7% of total evapotranspiration); low permeability and shallow soils are the main reasons for relatively large components of Hortonian flow and interflow (15% and 11% of P, respectively); (iii) the majority of drainage from the catchment leaves as surface water; (iv) declining 18 years trend (4.44 mm.y−1) of groundwater storage; and (v) large spatio-temporal variability of water fluxes. This IHM study of HRSs provides greater understanding of these relatively unknown hydrologic systems that are widespread throughout the world and are important for water resources in many regions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.05.026","usgsCitation":"Hassan, S.T., Lubczynski, M., Niswonger, R., and Zhongbo, S., 2014, Surface-groundwater interactions in hard rocks in Sardon Catchment of western Spain: an integrated modeling approach: Journal of Hydrology, v. 517, p. 390-410, https://doi.org/10.1016/j.jhydrol.2014.05.026.","productDescription":"21 p.","startPage":"390","endPage":"410","numberOfPages":"21","ipdsId":"IP-052114","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":290424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290423,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2014.05.026"}],"country":"Spain","otherGeospatial":"Sardon Catchment","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -8.0,40.0 ], [ -8.0,42.0 ], [ -6.0,42.0 ], [ -6.0,40.0 ], [ -8.0,40.0 ] ] ] } } ] }","volume":"517","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd75d2e4b0b2908510a805","contributors":{"authors":[{"text":"Hassan, S.M. Tanvir","contributorId":17919,"corporation":false,"usgs":true,"family":"Hassan","given":"S.M.","email":"","middleInitial":"Tanvir","affiliations":[],"preferred":false,"id":495908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lubczynski, Maciek W.","contributorId":54118,"corporation":false,"usgs":true,"family":"Lubczynski","given":"Maciek W.","affiliations":[],"preferred":false,"id":495911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":495909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhongbo, Su","contributorId":49276,"corporation":false,"usgs":true,"family":"Zhongbo","given":"Su","email":"","affiliations":[],"preferred":false,"id":495910,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70117068,"text":"70117068 - 2014 - Nekton community structure varies in response to coastal urbanization near mangrove tidal tributaries","interactions":[],"lastModifiedDate":"2014-07-22T08:36:30","indexId":"70117068","displayToPublicDate":"2014-07-18T09:29:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Nekton community structure varies in response to coastal urbanization near mangrove tidal tributaries","docAbstract":"To assess the potential influence of coastal development on estuarine-habitat quality, we characterized land use and the intensity of land development surrounding small tidal tributaries in Tampa Bay. Based on this characterization, we classified tributaries as undeveloped, industrial, urban, or man-made (i.e., mosquito-control ditches). Over one third (37 %) of the tributaries have been heavily developed based on landscape development intensity (LDI) index values >5.0, while fewer than one third (28 %) remain relatively undeveloped (LDI < 3.0). We then examined the nekton community from 11 tributaries in watersheds representing the four defined land-use classes. Whereas mean nekton density was independent of land use, species richness and nekton-community structure were significantly different between urban and non-urban (i.e., undeveloped, industrial, man-made) tributaries. In urban creeks, the community was species-poor and dominated by high densities of poeciliid fishes, Poecilia latipinna and Gambusia holbrooki, while typically dominant estuarine taxa including Menidia spp., Fundulus grandis, and Adinia xenica were in low abundance and palaemonid grass shrimp were nearly absent. Densities of economically important taxa in urban creeks were only half that observed in five of the six undeveloped or industrial creeks, but were similar to those observed in mosquito ditches suggesting that habitat quality in urban and mosquito-ditch tributaries is suboptimal compared to undeveloped tidal creeks. Furthermore, five of nine common taxa were rarely collected in urban creeks. Our results suggest that urban development in coastal areas has the potential to alter the quality of habitat for nekton in small tidal tributaries as reflected by variation in the nekton community.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12237-013-9726-9","usgsCitation":"Krebs, J.M., McIvor, C.C., and Bell, S.S., 2014, Nekton community structure varies in response to coastal urbanization near mangrove tidal tributaries: Estuaries and Coasts, v. 37, no. 4, p. 815-831, https://doi.org/10.1007/s12237-013-9726-9.","productDescription":"17 p.","startPage":"815","endPage":"831","numberOfPages":"17","ipdsId":"IP-049836","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":290421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290420,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-013-9726-9"}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay Estuary","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.75,27.5 ], [ -82.75,28.0 ], [ -82.25,28.0 ], [ -82.25,27.5 ], [ -82.75,27.5 ] ] ] } } ] }","volume":"37","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-10-26","publicationStatus":"PW","scienceBaseUri":"53cd68cce4b0b290851024a7","contributors":{"authors":[{"text":"Krebs, Justin M.","contributorId":35546,"corporation":false,"usgs":true,"family":"Krebs","given":"Justin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":495912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIvor, Carole C.","contributorId":73254,"corporation":false,"usgs":true,"family":"McIvor","given":"Carole","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":495913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, Susan S.","contributorId":77237,"corporation":false,"usgs":true,"family":"Bell","given":"Susan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":495914,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70095010,"text":"ds813 - 2014 - Geohydrologic and water-quality data in the vicinity of the Rialto-Colton Fault, San Bernardino, California","interactions":[],"lastModifiedDate":"2014-07-22T08:38:01","indexId":"ds813","displayToPublicDate":"2014-07-18T08:51:00","publicationYear":"2014","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":"813","title":"Geohydrologic and water-quality data in the vicinity of the Rialto-Colton Fault, San Bernardino, California","docAbstract":"

The Rialto-Colton Basin is in western San Bernardino County, about 60 miles east of Los Angeles, California. The basin is bounded by faults on the northeast and southwest sides and contains multiple barriers to groundwater flow. The structural geology of the basin leads to complex hydrology. Between 2001 and 2008, in an effort to better understand the complex hydrologic system of the Rialto-Colton Basin, seven multiple-well monitoring sites were constructed. Two to six observation wells were installed in the borehole at each site; a total of 32 observation wells were installed. This report presents geologic, hydrologic, and water-quality data collected from these seven multiple-well monitoring sites.

\n
\n

Descriptions of the collected drill cuttings were compiled into lithologic logs for each monitoring site. The lithologic logs are summarized along with the geophysical logs, including gamma-ray, spontaneous potential, resistivity, and electromagnetic induction tool logs. At selected sites, sonic tool logs also were recorded. Periodic water-level measurements are reported, and water-level data are displayed on hydrographs. Water levels at multiple-well monitoring sites in the northern part of the study area differed between the shallow and deep observation wells; in the remaining multiple-well monitoring sites, water levels differed little with depth. Along the southern trace of the Rialto-Colton Fault, water levels are slightly higher east of the fault than west of the fault. Selected water-quality data for 21 of the observation wells show water from wells in the northern and central parts of the study area is calcium-carbonate water. In the southern part of the study area, water from wells screened above 400 feet below land surface is of mixed type or is calcium-carbonate water. Water from wells screened greater than 400 feet below land surface in the southern part of the study area is sodium-carbonate or sodium-mixed anion water. Water from most wells in the study area plots above the Global Meteoric Water Line along an apparent local meteoric water line, indicating the water has not experienced substantial evaporation before infiltration. A few samples from shallow wells in the study area plot slightly to the right of the Global Meteoric Water Line, possibly indicating the water experienced some evaporation before recharge.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds813","collaboration":"Prepared in cooperation with the San Bernardino Valley Municipal Water District West Valley Water District","usgsCitation":"Teague, N.F., Brown, A.A., and Woolfenden, L.R., 2014, Geohydrologic and water-quality data in the vicinity of the Rialto-Colton Fault, San Bernardino, California: U.S. Geological Survey Data Series 813, ix, 76 p., https://doi.org/10.3133/ds813.","productDescription":"ix, 76 p.","numberOfPages":"89","onlineOnly":"Y","ipdsId":"IP-037038","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":290411,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/813/pdf/ds813.pdf"},{"id":290404,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/813/"},{"id":290412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds813.jpg"}],"country":"United States","state":"California","city":"San Bernadino","otherGeospatial":"Rialto-colton Fault","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.424317,34.050113 ], [ -117.424317,34.24764 ], [ -117.164972,34.24764 ], [ -117.164972,34.050113 ], [ -117.424317,34.050113 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5b29e4b0b290850f9d4c","contributors":{"authors":[{"text":"Teague, Nicholas F. 0000-0001-5289-1210 nteague@usgs.gov","orcid":"https://orcid.org/0000-0001-5289-1210","contributorId":2145,"corporation":false,"usgs":true,"family":"Teague","given":"Nicholas","email":"nteague@usgs.gov","middleInitial":"F.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Anthony A. 0000-0001-9925-0197 anbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-9925-0197","contributorId":5125,"corporation":false,"usgs":true,"family":"Brown","given":"Anthony","email":"anbrown@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woolfenden, Linda R. 0000-0003-3500-4709 lrwoolfe@usgs.gov","orcid":"https://orcid.org/0000-0003-3500-4709","contributorId":1476,"corporation":false,"usgs":true,"family":"Woolfenden","given":"Linda","email":"lrwoolfe@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491059,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70111587,"text":"sir20145108 - 2014 - Preliminary geochemical assessment of water in selected streams, springs, and caves in the Upper Baker and Snake Creek drainages in Great Basin National Park, Nevada, 2009","interactions":[],"lastModifiedDate":"2016-07-18T21:44:52","indexId":"sir20145108","displayToPublicDate":"2014-07-18T08:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5108","title":"Preliminary geochemical assessment of water in selected streams, springs, and caves in the Upper Baker and Snake Creek drainages in Great Basin National Park, Nevada, 2009","docAbstract":"

Water in caves, discharging from springs, and flowing in streams in the upper Baker and Snake Creek drainages are important natural resources in Great Basin National Park, Nevada. Water and rock samples were collected from 15 sites during February 2009 as part of a series of investigations evaluating the potential for water resource depletion in the park resulting from the current and proposed groundwater withdrawals. This report summarizes general geochemical characteristics of water samples collected from the upper Baker and Snake Creek drainages for eventual use in evaluating possible hydrologic connections between the streams and selected caves and springs discharging in limestone terrain within each watershed.

Generally, water discharging from selected springs in the upper Baker and Snake Creek watersheds is relatively young and, in some cases, has similar chemical characteristics to water collected from associated streams. In the upper Baker Creek drainage, geochemical data suggest possible hydrologic connections between Baker Creek and selected springs and caves along it. The analytical results for water samples collected from Wheelers Deep and Model Caves show characteristics similar to those from Baker Creek, suggesting a hydrologic connection between the creek and caves, a finding previously documented by other researchers. Generally, geochemical evidence does not support a connection between water flowing in Pole Canyon Creek to that in Model Cave, at least not to any appreciable extent. The water sample collected from Rosethorn Spring had relatively high concentrations of many of the constituents sampled as part of this study. This finding was expected as the water from the spring travelled through alluvium prior to being discharged at the surface and, as a result, was provided the opportunity to interact with soil minerals with which it came into contact. Isotopic evidence does not preclude a connection between Baker Creek and the water discharging from Rosethorn Spring. The residence time of water discharging into the caves and from selected springs sampled as part of this study ranged from 10 to 25 years.

Within the upper Snake Creek drainage, the results of this study show geochemical similarities between Snake Creek and Outhouse Spring, Spring Creek Spring, and Squirrel Spring Cave. The strontium isotope ratio (87Sr/86Sr) for intrusive rock samples representative of the Snake Creek drainage were similar to carbonate rock samples. The water sample collected from Snake Creek at the pipeline discharge point had lower strontium concentrations than the sample downstream and a similar 87Sr/86Sr value as the carbonate and intrusive rocks. The chemistry of the water sample was considered representative of upstream conditions in Snake Creek and indicates minimal influence of rock dissolution. The results of this study suggest that water discharging from Outlet Spring is not hydrologically connected to Snake Creek but rather is recharged at high altitude(s) within the Snake Creek drainage. These findings for Outlet Spring largely stem from the relatively high specific conductance and chloride concentration, the lightest deuterium (δD) and oxygen-18 (δ18O) values, and the longest calculated residence time (60 to 90 years) relative to any other sample collected as part of this study. With the exception of water sampled from Outlet Spring, the residence time of water discharging into Squirrel Spring Cave and selected springs in the upper Snake Creek drainage was less than 30 years.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145108","collaboration":"In Cooperation with the National Park Service","usgsCitation":"Paul, A.P., Thodal, C.E., Baker, G.M., Lico, M.S., and Prudic, D.E., 2014, Preliminary geochemical assessment of water in selected streams, springs, and caves in the Upper Baker and Snake Creek drainages in Great Basin National Park, Nevada, 2009: U.S. Geological Survey Scientific Investigations Report 2014-5108, viii, 33 p., https://doi.org/10.3133/sir20145108.","productDescription":"viii, 33 p.","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-033215","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":290410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145108.jpg"},{"id":290403,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5108/"},{"id":290409,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5108/pdf/sir2014-5108.pdf","text":"Report","size":"2.4 MB","description":"Report"}],"projection":"Universal Transverse Mercator Projection, Zone 11","datum":"North American Datum 1983","country":"United States","state":"Nevada","otherGeospatial":"Baker Creek, Great Basin National Park, Snake Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.400291,38.759973 ], [ -114.400291,39.105288 ], [ -114.020233,39.105288 ], [ -114.020233,38.759973 ], [ -114.400291,38.759973 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6cc2e4b0b29085104c02","contributors":{"authors":[{"text":"Paul, Angela P. 0000-0003-3909-1598 appaul@usgs.gov","orcid":"https://orcid.org/0000-0003-3909-1598","contributorId":2305,"corporation":false,"usgs":true,"family":"Paul","given":"Angela","email":"appaul@usgs.gov","middleInitial":"P.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thodal, Carl E. 0000-0003-0782-3280 cethodal@usgs.gov","orcid":"https://orcid.org/0000-0003-0782-3280","contributorId":2292,"corporation":false,"usgs":true,"family":"Thodal","given":"Carl","email":"cethodal@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, Gretchen M.","contributorId":54894,"corporation":false,"usgs":true,"family":"Baker","given":"Gretchen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":494370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lico, Michael S.","contributorId":75897,"corporation":false,"usgs":true,"family":"Lico","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":494371,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prudic, David E. deprudic@usgs.gov","contributorId":3430,"corporation":false,"usgs":true,"family":"Prudic","given":"David","email":"deprudic@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494369,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70116938,"text":"70116938 - 2014 - Temporal variation in fish mercury concentrations within lakes from the western Aleutian Archipelago, Alaska","interactions":[],"lastModifiedDate":"2018-09-18T16:17:48","indexId":"70116938","displayToPublicDate":"2014-07-17T15:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variation in fish mercury concentrations within lakes from the western Aleutian Archipelago, Alaska","docAbstract":"We assessed temporal variation in mercury (Hg) concentrations of threespine stickleback (Gasterosteus aculeatus) from Agattu Island, Aleutian Archipelago, Alaska. Total Hg concentrations in whole-bodied stickleback were measured at two-week intervals from two sites in each of two lakes from June 1 to August 10, 2011 during the time period when lakes were ice-free. Across all sites and sampling events, stickleback Hg concentrations ranged from 0.37–1.07 µg/g dry weight (dw), with a mean (± SE) of 0.55±0.01 µg/g dw. Mean fish Hg concentrations declined by 9% during the study period, from 0.57±0.01 µg/g dw in early June to 0.52±0.01 µg/g dw in mid-August. Mean fish Hg concentrations were 6% higher in Loon Lake (0.56±0.01 µg/g dw) than in Lake 696 (0.53±0.01 µg/g dw), and 4% higher in males (0.56±0.01 µg/g dw) than in females (0.54±0.01 µg/g dw). Loon Lake was distinguished from Lake 696 by the presence of piscivorous waterbirds during the breeding season. Mercury concentrations in stickleback from Agattu Island were higher than would be expected for an area without known point sources of Hg pollution, and high enough to be of concern to the health of piscivorous wildlife.","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0102244","usgsCitation":"Kenney, L., Eagles-Smith, C.A., Ackerman, J., and von Hippel, F., 2014, Temporal variation in fish mercury concentrations within lakes from the western Aleutian Archipelago, Alaska: PLoS ONE, v. 9, no. 7, 7 p., https://doi.org/10.1371/journal.pone.0102244.","productDescription":"7 p.","numberOfPages":"7","ipdsId":"IP-051925","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472870,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0102244","text":"Publisher Index Page"},{"id":290396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290381,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0102244"}],"country":"United States","state":"Alaska","otherGeospatial":"Agattu Island;Aleutian Archipelago","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.353562,52.352271 ], [ 173.353562,52.513793 ], [ 173.776505,52.513793 ], [ 173.776505,52.352271 ], [ 173.353562,52.352271 ] ] ] } } ] }","volume":"9","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-07-16","publicationStatus":"PW","scienceBaseUri":"53cd768ce4b0b2908510af63","contributors":{"authors":[{"text":"Kenney, Leah A.","contributorId":67011,"corporation":false,"usgs":true,"family":"Kenney","given":"Leah A.","affiliations":[],"preferred":false,"id":495899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":495898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":495901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"von Hippel, Frank A.","contributorId":96599,"corporation":false,"usgs":true,"family":"von Hippel","given":"Frank A.","affiliations":[],"preferred":false,"id":495900,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70114887,"text":"sir20145119 - 2014 - Hydrogeologic framework and groundwater/surface-water interactions of the upper Yakima River Basin, Kittitas County, central Washington","interactions":[],"lastModifiedDate":"2014-07-17T15:11:58","indexId":"sir20145119","displayToPublicDate":"2014-07-17T14:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5119","title":"Hydrogeologic framework and groundwater/surface-water interactions of the upper Yakima River Basin, Kittitas County, central Washington","docAbstract":"

The hydrogeology, hydrology, and geochemistry of groundwater and surface water in the upper (western) 860 square miles of the Yakima River Basin in Kittitas County, Washington, were studied to evaluate the groundwater-flow system, occurrence and availability of groundwater, and the extent of groundwater/surface-water interactions. The study area ranged in altitude from 7,960 feet in its headwaters in the Cascade Range to 1,730 feet at the confluence of the Yakima River with Swauk Creek. A west-to-east precipitation gradient exists in the basin with the western, high-altitude headwaters of the basin receiving more than 100 inches of precipitation per year and the eastern, low-altitude part of the basin receiving about 20 inches of precipitation per year. From the early 20th century onward, reservoirs in the upper part of the basin (for example, Keechelus, Kachess, and Cle Elum Lakes) have been managed to store snowmelt for irrigation in the greater Yakima River Basin. Canals transport water from these reservoirs for irrigation in the study area; additional water use is met through groundwater withdrawals from wells and surface-water withdrawals from streams and rivers. Estimated groundwater use for domestic, commercial, and irrigation purposes is reported for the study area.

\n
\n

A complex assemblage of sedimentary, metamorphic, and igneous bedrock underlies the study area. In a structural basin in the southeastern part of the study area, the bedrock is overlain by unconsolidated sediments of glacial and alluvial origin. Rocks and sediments were grouped into six hydrogeologic units based on their lithologic and hydraulic characteristics. A map of their extent was developed from previous geologic mapping and lithostratigraphic information from drillers’ logs. Water flows through interstitial space in unconsolidated sediments, but largely flows through fractures and other sources of secondary porosity in bedrock. Generalized groundwater-flow directions within the unconfined part of the aquifers in unconsolidated sediments indicate generalized groundwater movement toward the Yakima River and its tributaries and the outlet of the study area.

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\n

Groundwater movement through fractures within the bedrock aquifers is complex and varies over spatial scales depending on the architecture of the fracture-flow system and its hydraulic properties. The complexity of the fracturedbedrock groundwater-flow system is supported by a wide range of groundwater ages determined from geochemical analyses of carbon-14, sulfur hexafluoride, and tritium in groundwater. These geochemical data also indicate that the shallow groundwater system is actively flushing with young, isotopically heavy groundwater, but isotopicallylight, Pleistocene-age groundwater with a geochemicallyevolved composition occurs at depth within the fracturedbedrock aquifers of upper Kittitas County. An eastward depletion of stable isotopes in groundwater is consistent with hydrologically separate subbasins. This suggests that groundwater that recharges in one subbasin is not generally available for withdrawal or discharge into surface-water features within other subbasins. Water budget components were calculated for 11 subbasins using a watershed model and varied based on the climate, land uses, and geology of the subbasin.

\n
\n

Synoptic streamflow measurements made in August 2011 indicate that groundwater discharges into several tributaries of the Yakima River with several losses of streamflow measured where the streams exit bedrock uplands and flow over unconsolidated sediments. Profiles of stream temperature during late summer suggest cool groundwater inflow over discrete sections of streams. This groundwater/surfacewater connection is further supported by the stable-isotope composition of stream water, which reflects the local stableisotope composition of groundwater measured at some wells and springs.

\n
\n

Collectively, these hydrogeologic, hydrologic, and geochemical data support a framework for evaluating the potential effects of future groundwater appropriations on senior surface-water and groundwater rights and streamflows. Although total pumping rates in upper Kittitas County of about 3.5 cubic feet per second are small relative to other components of the water budget, the magnitude, timing, and location of withdrawals may have important effects on the hydrologic system. The heterogeneous and variably fractured bedrock in the study area precluded a detailed evaluation of localized effects of pumping, but several generalizations about the groundwater and surface-water systems can be made. These generalizations include evidence for the continuity between the groundwater and surface-water system apparent from synoptic streamflow measurements, stream-temperature profiles, and stable-isotope data of groundwater and surface waters.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145119","collaboration":"Prepared in cooperation with the Washington State Department of Ecology and Kittitas County","usgsCitation":"Gendaszek, A.S., Ely, D.M., Hinkle, S.R., Kahle, S.C., and Welch, W.B., 2014, Hydrogeologic framework and groundwater/surface-water interactions of the upper Yakima River Basin, Kittitas County, central Washington: U.S. Geological Survey Scientific Investigations Report 2014-5119, Report: viii, 65 p.; 2 Plates: 24.81 x 19.87 inches and 32.18 x 17.90 inches, https://doi.org/10.3133/sir20145119.","productDescription":"Report: viii, 65 p.; 2 Plates: 24.81 x 19.87 inches and 32.18 x 17.90 inches","numberOfPages":"78","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-043573","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":290395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145119.jpg"},{"id":290394,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5119/pdf/sir20145119_Plate02.pdf"},{"id":290391,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5119/"},{"id":290392,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5119/pdf/sir2014-5119.pdf"},{"id":290393,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5119/pdf/sir20145119_Plate01.pdf"}],"projection":"NSRS2007 Universal Transverse Mercator Zone 10N","datum":"North American Datum 1983 NSR2007","country":"United States","state":"Washington","county":"Kittitas County","otherGeospatial":"Yakima River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,47.083333 ], [ -121.5,47.583333 ], [ -120.5,47.583333 ], [ -120.5,47.083333 ], [ -121.5,47.083333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd610be4b0b290850fd4f0","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ely, D. Matthew","contributorId":100052,"corporation":false,"usgs":true,"family":"Ely","given":"D.","email":"","middleInitial":"Matthew","affiliations":[],"preferred":false,"id":495440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinkle, Stephen R. srhinkle@usgs.gov","contributorId":1171,"corporation":false,"usgs":true,"family":"Hinkle","given":"Stephen","email":"srhinkle@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495436,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kahle, Sue C. 0000-0003-1262-4446 sckahle@usgs.gov","orcid":"https://orcid.org/0000-0003-1262-4446","contributorId":3096,"corporation":false,"usgs":true,"family":"Kahle","given":"Sue","email":"sckahle@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welch, Wendy B. wwelch@usgs.gov","contributorId":1645,"corporation":false,"usgs":true,"family":"Welch","given":"Wendy","email":"wwelch@usgs.gov","middleInitial":"B.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":495437,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70110744,"text":"fs20143051 - 2014 - Hydrologic enforcement of lidar DEMs","interactions":[],"lastModifiedDate":"2014-07-17T11:58:13","indexId":"fs20143051","displayToPublicDate":"2014-07-17T11:54:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3051","title":"Hydrologic enforcement of lidar DEMs","docAbstract":"Hydrologic-enforcement (hydro-enforcement) of light detection and ranging (lidar)-derived digital elevation models (DEMs) modifies the elevations of artificial impediments (such as road fills or railroad grades) to simulate how man-made drainage structures such as culverts or bridges allow continuous downslope flow. Lidar-derived DEMs contain an extremely high level of topographic detail; thus, hydro-enforced lidar-derived DEMs are essential to the U.S. Geological Survey (USGS) for complex modeling of riverine flow. The USGS Coastal and Marine Geology Program (CMGP) is integrating hydro-enforced lidar-derived DEMs (land elevation) and lidar-derived bathymetry (water depth) to enhance storm surge modeling in vulnerable coastal zones.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143051","collaboration":"Coastal and Marine Geology Program","usgsCitation":"Poppenga, S.K., Worstell, B.B., Danielson, J.J., Brock, J., Evans, G.A., and Heidemann, H., 2014, Hydrologic enforcement of lidar DEMs: U.S. Geological Survey Fact Sheet 2014-3051, 4 p., https://doi.org/10.3133/fs20143051.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-055624","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":290359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143051.jpg"},{"id":290358,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3051/pdf/fs2014-3051.pdf"},{"id":290357,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3051/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6184e4b0b290850fd95a","contributors":{"authors":[{"text":"Poppenga, Sandra K. 0000-0002-2846-6836","orcid":"https://orcid.org/0000-0002-2846-6836","contributorId":84465,"corporation":false,"usgs":true,"family":"Poppenga","given":"Sandra","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":494135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worstell, Bruce B. 0000-0001-8927-3336 worstell@usgs.gov","orcid":"https://orcid.org/0000-0001-8927-3336","contributorId":1815,"corporation":false,"usgs":true,"family":"Worstell","given":"Bruce","email":"worstell@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":494130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":494133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":494131,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, Gayla A. 0000-0001-5072-4232 gevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-4232","contributorId":3125,"corporation":false,"usgs":true,"family":"Evans","given":"Gayla","email":"gevans@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":494132,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heidemann, H. Karl 0000-0003-4306-359X","orcid":"https://orcid.org/0000-0003-4306-359X","contributorId":41750,"corporation":false,"usgs":true,"family":"Heidemann","given":"H. Karl","affiliations":[],"preferred":false,"id":494134,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70114919,"text":"ds864 - 2014 - Site-characteristic and hydrologic data for selected wells and springs on Federal land in Clark County, Nevada","interactions":[],"lastModifiedDate":"2014-07-17T08:44:50","indexId":"ds864","displayToPublicDate":"2014-07-17T08:39:00","publicationYear":"2014","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":"864","title":"Site-characteristic and hydrologic data for selected wells and springs on Federal land in Clark County, Nevada","docAbstract":"Site-characteristic and hydrologic data for selected wells and springs on U.S. Bureau of Land Management, National Park Service, U.S. Fish and Wildlife Service, and U.S. Forest Service land in Clark County, Nevada, were updated in the U.S. Geological Survey’s National Water Information System (NWIS) to facilitate multi-agency research. Data were researched and reviewed, sites were visited, and NWIS data were updated for 231 wells and 198 springs, including 36 wells and 67 springs that were added to NWIS and 44 duplicate sites that were deleted. The site-characteristic and hydrologic data collected, reviewed, edited, and added to NWIS include locations, well water levels, spring discharges, and water chemistry. Site-characteristic and hydrologic data can be accessed from links to the NWIS web interface; data not available through the web interface are presented in appendixes to this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds864","collaboration":"Prepared in cooperation with the U.S. Bureau of Land Management","usgsCitation":"Pavelko, M.T., 2014, Site-characteristic and hydrologic data for selected wells and springs on Federal land in Clark County, Nevada: U.S. Geological Survey Data Series 864, Report: iv, 18 p.; 2 Appendixes, https://doi.org/10.3133/ds864.","productDescription":"Report: iv, 18 p.; 2 Appendixes","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-041691","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":290341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds864.jpg"},{"id":290340,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/864/downloads/ds864_appendix2_2.xlsx"},{"id":290338,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/864/pdf/ds864.pdf"},{"id":290332,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/864/"},{"id":290339,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/864/downloads/ds864_appendix1_2.xlsx"}],"projection":"Albers Equal Area Conic Projection","datum":"North American Datum 1983","country":"United States","state":"Nevada","county":"Clark County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.8969,35.0019 ], [ -115.8969,36.8537 ], [ -114.0428,36.8537 ], [ -114.0428,35.0019 ], [ -115.8969,35.0019 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7304e4b0b29085108ac9","contributors":{"authors":[{"text":"Pavelko, Michael T. 0000-0002-8323-3998 mpavelko@usgs.gov","orcid":"https://orcid.org/0000-0002-8323-3998","contributorId":2321,"corporation":false,"usgs":true,"family":"Pavelko","given":"Michael","email":"mpavelko@usgs.gov","middleInitial":"T.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495441,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70111061,"text":"ds767 - 2014 - EAARL-B coastal topography: eastern New Jersey, Hurricane Sandy, 2012: first surface","interactions":[],"lastModifiedDate":"2014-08-19T13:14:00","indexId":"ds767","displayToPublicDate":"2014-07-17T08:30:00","publicationYear":"2014","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":"767","title":"EAARL-B coastal topography: eastern New Jersey, Hurricane Sandy, 2012: first surface","docAbstract":"

These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography datasets were produced by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.

\n
\n

This project provides highly detailed and accurate datasets for a portion of the New Jersey coastline beachface, acquired pre-Hurricane Sandy on October 26, and post-Hurricane Sandy on November 1 and November 5, 2012. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar system, known as the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B), was used during data acquisition. The EAARL-B system is a raster-scanning, waveform-resolving, green-wavelength (532-nm) lidar designed to map nearshore bathymetry, topography, and vegetation structure simultaneously. The EAARL-B sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, down-looking red-green-blue (RGB) and infrared (IR) digital cameras, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL-B platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.

\n
\n

Elevation measurements were collected over the survey area using the EAARL-B system. The resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the \"bare earth\" under vegetation from a point cloud of last return elevations.

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\n

For more information about similar projects, please visit the Lidar for Science and Resource Management Web site.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds767","usgsCitation":"Wright, C.W., Fredericks, X., Troche, R.J., Klipp, E.S., Kranenburg, C., and Nagle, D.B., 2014, EAARL-B coastal topography: eastern New Jersey, Hurricane Sandy, 2012: first surface (Originally posted July 15, 2014; Revised and reposted August 18, 2014, version 1.1): U.S. Geological Survey Data Series 767, HTML Document, https://doi.org/10.3133/ds767.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-045296","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":290337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds767.jpg"},{"id":290331,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/767/"},{"id":290336,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/767/html/home.html"}],"country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.0504,38.8964 ], [ -75.0504,40.5775 ], [ -73.4996,40.5775 ], [ -73.4996,38.8964 ], [ -75.0504,38.8964 ] ] ] } } ] }","edition":"Originally posted July 15, 2014; Revised and reposted August 18, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd55f9e4b0b290850f6a2d","contributors":{"authors":[{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":494222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":494221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Troche, Rodolfo J. rtroche@usgs.gov","contributorId":4304,"corporation":false,"usgs":true,"family":"Troche","given":"Rodolfo","email":"rtroche@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":494220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":494218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kranenburg, Christine J.","contributorId":91412,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine J.","affiliations":[],"preferred":false,"id":494223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagle, David B. 0000-0002-2306-6147 dnagle@usgs.gov","orcid":"https://orcid.org/0000-0002-2306-6147","contributorId":3380,"corporation":false,"usgs":true,"family":"Nagle","given":"David","email":"dnagle@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":494219,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70147072,"text":"70147072 - 2014 - Taking the mystery out of mathematical model applications to karst aquifers—A primer","interactions":[],"lastModifiedDate":"2017-06-09T12:52:59","indexId":"70147072","displayToPublicDate":"2014-07-17T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Taking the mystery out of mathematical model applications to karst aquifers—A primer","docAbstract":"Advances in mathematical model applications toward the understanding of the complex flow, characterization, and water-supply management issues for karst aquifers have occurred in recent years. Different types of mathematical models can be applied successfully if appropriate information is available and the problems are adequately identified. The mathematical approaches discussed in this paper are divided into three major categories: 1) distributed parameter models, 2) lumped parameter models, and 3) fitting models. The modeling approaches are described conceptually with examples (but without equations) to help non-mathematicians understand the applications.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"U.S. Geological Survey Karst Interest Group Proceedings, Carlsbad, New Mexico, April 29–May 2, 2014","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"conferenceTitle":"Karst Interest Group Proceedings","conferenceDate":"April 29-May 2, 2014","conferenceLocation":"Carlsbad, NM","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","collaboration":"Prepared in cooperation with the National Cave and Karst Research Institute","usgsCitation":"Kuniansky, E.L., 2014, Taking the mystery out of mathematical model applications to karst aquifers—A primer, in U.S. Geological Survey Karst Interest Group Proceedings, Carlsbad, New Mexico, April 29–May 2, 2014, Carlsbad, NM, April 29-May 2, 2014, p. 68-81.","productDescription":"14 p.","startPage":"68","endPage":"81","ipdsId":"IP-053229","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":342333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299892,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.3133/sir20145035"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593bb3aae4b0764e6c60e7f4","contributors":{"authors":[{"text":"Kuniansky, Eve L. 0000-0002-5581-0225 elkunian@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-0225","contributorId":932,"corporation":false,"usgs":true,"family":"Kuniansky","given":"Eve","email":"elkunian@usgs.gov","middleInitial":"L.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":545627,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70190231,"text":"70190231 - 2014 - Movements and demography of spawning American Shad in the Penobscot River, Maine, prior to dam removal","interactions":[],"lastModifiedDate":"2017-08-18T17:22:45","indexId":"70190231","displayToPublicDate":"2014-07-17T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Movements and demography of spawning American Shad in the Penobscot River, Maine, prior to dam removal","docAbstract":"

We conducted a baseline study to better understand the migratory movements and age and spawning histories of American Shad Alosa sapidissima in the Penobscot River, Maine. The Penobscot River is currently undergoing a major dam removal project that is focused on restoring migratory connectivity and recovering diadromous fish populations including American Shad. This study addresses key data gaps for a previously unstudied native population of shad prior to restoration. A combination of radio- (n = 70) and acoustic telemetry (n = 14) was used to investigate the movements of migratory adult fish in 2010 and 2011. Scale-based analyses were used to assess spawner age and iteroparity. Radiotelemetry results indicated that few tagged fish (5–8%) approached the head-of-tide dam. Tagged fish exhibited three general patterns of movement in the accessible freshwater river habitat: use of the upper river reach, the lower river reach, or both. Mean freshwater residence time ranged from 9.1 to 14.0 d. Congregating fish were observed at two sites in the upper river reach and spawning activity was observed. Freshwater survival and survival to the estuary were at least 71%. This observed high survival was consistent with the estimated age and spawning histories of tracked fish, which indicated that 75–95% of the sampled fish were repeat spawners. Estimated age of adult migrants ranged from age 4 to age 9. Postspawning acoustic-tagged American Shad exhibited a series of prolonged upstream and downstream reversals upon entering the lower estuary. These movements have been previously unreported, and suggest that estuarine residency after spawning is important to osmoregulatory acclimatization for re-entry into salt water and the resumption of postspawning feeding activity.

","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2013.864705","usgsCitation":"Grote, A.B., Bailey, M.M., and Zydlewski, J.D., 2014, Movements and demography of spawning American Shad in the Penobscot River, Maine, prior to dam removal: Transactions of the American Fisheries Society, v. 143, no. 2, p. 552-563, https://doi.org/10.1080/00028487.2013.864705.","productDescription":"12 p.","startPage":"552","endPage":"563","ipdsId":"IP-046151","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":344968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-13","publicationStatus":"PW","scienceBaseUri":"5997fc9ee4b0b589267cd21c","contributors":{"authors":[{"text":"Grote, Ann B.","contributorId":169715,"corporation":false,"usgs":false,"family":"Grote","given":"Ann","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":708070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Michael M.","contributorId":169684,"corporation":false,"usgs":false,"family":"Bailey","given":"Michael","email":"","middleInitial":"M.","affiliations":[{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false}],"preferred":false,"id":708071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":708038,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70114038,"text":"sim3305 - 2014 - Simulated and measured water levels and estimated water-level changes in the Albuquerque area, central New Mexico, 1950-2012","interactions":[],"lastModifiedDate":"2024-10-30T18:27:27.355104","indexId":"sim3305","displayToPublicDate":"2014-07-16T16:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3305","title":"Simulated and measured water levels and estimated water-level changes in the Albuquerque area, central New Mexico, 1950-2012","docAbstract":"

The City of Albuquerque, the major population center in New Mexico, underwent a more than fivefold population increase between 1950 and 2010. Before 2009, groundwater was the primary source of the City of Albuquerque’s municipal water supply, but since that time, the city has diverted water through the San Juan-Chama Drinking Water Project to augment municipal water supplies. Consequently, there is interest in understanding how groundwater levels changed in response to groundwater pumping, surface-water diversions, and conservation measures. To give a more detailed history of water-level changes from 1950 through 2012, the U.S. Geological Survey, in cooperation with the Albuquerque Bernalillo County Water Utility Authority, created maps showing water-level contours and changes by contouring water-table elevations and production-zone hydraulic heads that were simulated with a recently updated regional-scale transient groundwater-flow model at 10-year intervals from 1950 to 2000 and again for 2008.

Both the water-table elevations and production-zone hydraulic heads declined over time with the largest change occurring between 1970 and 1980, which was a period of rapid population growth and groundwater use. Declines in the water-table elevations and production-zone hydraulic heads are focused around major pumping centers and are largest in the production zone. Hydrographs from nine production-zone piezometers in the modeled area indicated varying responses to the increased use of surface-water diversions during 2009–12, with responses related to the locations of the wells within the study area and their proximity to pumping centers and the Rio Grande.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3305","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Rice, S.E., Oelsner, G.P., and Heywood, C.E., 2014, Simulated and measured water levels and estimated water-level changes in the Albuquerque area, central New Mexico, 1950-2012: U.S. Geological Survey Scientific Investigations Map 3305, 44.00 x 57.00 inches, https://doi.org/10.3133/sim3305.","productDescription":"44.00 x 57.00 inches","onlineOnly":"N","ipdsId":"IP-054079","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":290329,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3305/pdf/sim3305.pdf"},{"id":290323,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3305/"},{"id":290330,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/sim3305.jpg"}],"scale":"50000","projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983 and North American Vertical Datum of 1988","country":"United States","state":"New Mexico","city":"Albuquerque","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.75,34.75 ], [ -106.75,35.25 ], [ -106.50,35.25 ], [ -106.50,34.75 ], [ -106.75,34.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53c790d3e4b019484164240d","contributors":{"authors":[{"text":"Rice, Steven E. srice@usgs.gov","contributorId":5438,"corporation":false,"usgs":true,"family":"Rice","given":"Steven","email":"srice@usgs.gov","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oelsner, Gretchen P. 0000-0001-9329-7357 goelsner@usgs.gov","orcid":"https://orcid.org/0000-0001-9329-7357","contributorId":4440,"corporation":false,"usgs":true,"family":"Oelsner","given":"Gretchen","email":"goelsner@usgs.gov","middleInitial":"P.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heywood, Charles E. cheywood@usgs.gov","contributorId":2043,"corporation":false,"usgs":true,"family":"Heywood","given":"Charles","email":"cheywood@usgs.gov","middleInitial":"E.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495238,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70112698,"text":"sim3301 - 2014 - Estimated 2012 groundwater potentiometric surface and drawdown from predevelopment to 2012 in the Santa Fe Group aquifer system in the Albuquerque metropolitan area, central New Mexico","interactions":[],"lastModifiedDate":"2014-07-17T08:21:56","indexId":"sim3301","displayToPublicDate":"2014-07-16T16:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3301","title":"Estimated 2012 groundwater potentiometric surface and drawdown from predevelopment to 2012 in the Santa Fe Group aquifer system in the Albuquerque metropolitan area, central New Mexico","docAbstract":"

Historically, the water-supply requirements of the Albuquerque metropolitan area of central New Mexico were met almost exclusively by groundwater withdrawal from the Santa Fe Group aquifer system. In response to water-level declines, the Albuquerque Bernalillo County Water Utility Authority (ABCWUA) began diverting water from the San Juan-Chama Drinking Water Project in December 2008 to reduce the use of groundwater to meet municipal demand. Modifications in the demand for water and the source of the supply of water for the Albuquerque metropolitan area have resulted in a variable response in the potentiometric surface of the production zone (the interval of the aquifer, from within about 200 feet below the water table to 900 feet or more, in which supply wells generally are screened) of the Santa Fe Group aquifer system. Analysis of the magnitude and spatial distribution of water-level change can help improve the understanding of how the groundwater system responds to withdrawals and variations in the management of the water supply and can support water-management agencies’ efforts to minimize future water-level declines and improve sustainability. The U.S. Geological Survey (USGS), in cooperation with the ABCWUA, has developed an estimate of the 2012 potentiometric surface of the production zone of the Santa Fe Group aquifer system in the Albuquerque metropolitan area. This potentiometric surface is the latest in a series of reports depicting the potentiometric surface of the area.

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\n

This report presents the estimated potentiometric surface during winter (from December to March) of water year 2012 and the estimated changes in potentiometric surface between predevelopment (pre-1961) and water year 2012 for the production zone of the Santa Fe Group aquifer system in the Albuquerque metropolitan area. Hydrographs from selected piezometers are included to provide details of historical water-level changes.

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\n

In general, water-level measurements used for this report were collected in small-diameter observation wells screened over short intervals near the middle of the production zone and were considered to best represent the potentiometric head in the production zone. The water-level measurements were collected by various local and Federal agencies. The water year 2012 potentiometric surface map was created in a geographic information system, and the change in water-level altitude from predevelopment to water year 2012 was calculated. The 2012 potentiometric surface indicates that the general direction of groundwater flow is from the Rio Grande towards clusters of supply wells in the east, north, and west. Water-level changes from predevelopment to 2012 were variable across the Albuquerque metropolitan area. Estimated drawdown from 2008 was spatially variable across the Albuquerque metropolitan area. Hydrographs from piezometers on the east side of the river indicate an increase in the annual highest water-level measurement from 2008 to 2012. Hydrographs from piezometers in the northwest part of the study area indicate either steady decline of the water-level altitude over the period of record or recently variable trends in which water-level altitudes increased for a number of years but have declined since water year 2012.

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Abundant and well-preserved diatoms and silicofl agellate assemblages are documented through a complete late Eocene sequence, ODP Hole 1090B, recovered from the southern Agulhas Ridge in the sub-Antarctic South Atlantic. A sequence of Cestodiscus (diatom) species occurrence events involving C. pulchellus var. novazealandica, C. fennerae, C. antarcticus, C. convexus, C. trochus, and C. robustus is tied with paleomagnetic stratigraphy and provides the basis of proposing a new diatom zonation for the latest middle Eocene to early Oligocene (~37.6–33.4 Ma) of the sub-Antarctic South Atlantic. Comparison with previously published diatom occurrence charts suggested this zonation should be applicable throughout the low latitude regions of the world’s oceans. Silicofl agellates belong to the Dictyocha hexacantha and the overlying Corbisema apiculata Zones. The late Eocene succession of silicofl agellate species is dominated by Naviculopsis (20–60%). Naviculopsis constricta and N. foliacea dominate the D. hexacantha Zone, followed by the N. constricta, then N. biapiculata in the C. apiculata Zone. Cold-water Distephanus is most abundant in the latest Eocene along with N. biapiculata. The tops of zonal guide fossils Dictyocha hexacantha and Hannaites quadria (both 36.6 Ma) and Dictyocha spinosa (37.1 Ma) are tied with paleomagnetic stratigraphy.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Diatom research over time and space Morphology, taxonomy, ecology and distribution of diatoms - from fossil to recent, marine to freshwater, established species and genera to new ones","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Nova Hedwigia","publisherLocation":"Stuttgart, Germany","usgsCitation":"Barron, J.A., Bukry, D.B., and Gersonde, R., 2014, Diatom and silicoflagellate biostratigraphy for the late Eocene: ODP 1090 (sub-Antarctic Atlantic), chap. of Diatom research over time and space Morphology, taxonomy, ecology and distribution of diatoms - from fossil to recent, marine to freshwater, established species and genera to new ones, p. 1-32.","productDescription":"32 p.","startPage":"1","endPage":"32","ipdsId":"IP-044413","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":336173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342987,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.schweizerbart.de/publications/detail/isbn/9783443510657"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b1543ae4b01ccd54fc5ea3","contributors":{"authors":[{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":519122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bukry, David B.","contributorId":87070,"corporation":false,"usgs":true,"family":"Bukry","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":519121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gersonde, Rainer","contributorId":182425,"corporation":false,"usgs":false,"family":"Gersonde","given":"Rainer","email":"","affiliations":[],"preferred":false,"id":671410,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70103633,"text":"70103633 - 2014 - Characterization of the porosity distribution in the upper part of the karst Biscayne aquifer using common offset ground penetrating radar, Everglades National Park, Florida","interactions":[],"lastModifiedDate":"2017-03-24T14:23:02","indexId":"70103633","displayToPublicDate":"2014-07-16T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of the porosity distribution in the upper part of the karst Biscayne aquifer using common offset ground penetrating radar, Everglades National Park, Florida","docAbstract":"

The karst Biscayne aquifer is characterized by a heterogeneous spatial arrangement of porosity and hydraulic conductivity, making conceptualization difficult. The Biscayne aquifer is the primary source of drinking water for millions of people in south Florida; thus, information concerning the distribution of karst features that concentrate the groundwater flow and affect contaminant transport is critical. The principal purpose of the study was to investigate the ability of two-dimensional ground penetrating radar (GPR) to rapidly characterize porosity variability in the karst Biscayne aquifer in south Florida. An 800-m-long GPR transect of a previously investigated area at the Long Pine Key Nature Trail in Everglades National Park, collected in fast acquisition common offset mode, shows hundreds of diffraction hyperbolae. The distribution of diffraction hyperbolae was used to estimate electromagnetic (EM) wave velocity at each diffraction location and to assess both horizontal and vertical changes in velocity within the transect. A petrophysical model (complex refractive index model or CRIM) was used to estimate total bulk porosity. A set of common midpoint surveys at selected locations distributed along the common-offset transect also were collected for comparison with the common offsets and were used to constrain one-dimensional (1-D) distributions of porosity with depth. Porosity values for the saturated Miami Limestone ranged between 25% and 41% for common offset GPR surveys, and between 23% and 39% for common midpoint GPR surveys. Laboratory measurements of porosity in five whole-core samples from the saturated part of the aquifer in the study area ranged between 7.1% and 41.8%. GPR estimates of porosity were found to be valid only under saturated conditions; other limitations are related to the vertical resolution of the GPR signal and the volume of the material considered by the measurement methodology. Overall, good correspondence between GPR estimates and the direct porosity values from the whole-core samples confirms the ability of GPR common offset surveys to provide rapid characterization of porosity variability in the Biscayne aquifer.

The common offset survey method has several advantages: (1) improved time efficiency in comparison to other GPR acquisition modes such as common midpoints; and (2) enhanced lateral continuity of porosity estimates, particularly when compared to porosity measurements on 1-D samples such as rock cores. The results also support the presence of areas of low EM wave velocity or high porosity under saturated conditions, causing velocity pull-down areas and apparent sag features in the reflection record. This study shows that GPR can be a useful tool for improving understanding of the petrophysical properties of highly heterogeneous systems such as karst aquifers, and thus may assist with the development of more accurate groundwater flow models, such as those used for restoration efforts in the Everglades.

","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.jhydrol.2014.04.048","usgsCitation":"Mountain, G.S., Cunningham, K.J., and Comas, X., 2014, Characterization of the porosity distribution in the upper part of the karst Biscayne aquifer using common offset ground penetrating radar, Everglades National Park, Florida: Journal of Hydrology, v. 515, p. 223-236, https://doi.org/10.1016/j.jhydrol.2014.04.048.","productDescription":"14 p.","startPage":"223","endPage":"236","ipdsId":"IP-044930","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":338316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Long Pine Key Nature Trail","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.646389,\n 25.402778\n ],\n [\n -80.638056,\n 25.402778\n ],\n [\n -80.638056,\n 25.398889\n ],\n [\n -80.646389,\n 25.398889\n ],\n [\n -80.646389,\n 25.402778\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"515","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58d63039e4b05ec7991310ef","contributors":{"authors":[{"text":"Mountain, Gregory S.","contributorId":29154,"corporation":false,"usgs":true,"family":"Mountain","given":"Gregory","email":"","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":686106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Comas, Xavier","contributorId":176879,"corporation":false,"usgs":false,"family":"Comas","given":"Xavier","affiliations":[],"preferred":false,"id":686107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":518818,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188874,"text":"70188874 - 2014 - A mechanistic modeling and data assimilation framework for Mojave Desert ecohydrology","interactions":[],"lastModifiedDate":"2017-06-27T10:04:30","indexId":"70188874","displayToPublicDate":"2014-07-16T00:00:00","publicationYear":"2014","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":"A mechanistic modeling and data assimilation framework for Mojave Desert ecohydrology","docAbstract":"

This study demonstrates and addresses challenges in coupled ecohydrological modeling in deserts, which arise due to unique plant adaptations, marginal growing conditions, slow net primary production rates, and highly variable rainfall. We consider model uncertainty from both structural and parameter errors and present a mechanistic model for the shrub Larrea tridentata (creosote bush) under conditions found in the Mojave National Preserve in southeastern California (USA). Desert-specific plant and soil features are incorporated into the CLM-CN model by Oleson et al. (2010). We then develop a data assimilation framework using the ensemble Kalman filter (EnKF) to estimate model parameters based on soil moisture and leaf-area index observations. A new implementation procedure, the “multisite loop EnKF,” tackles parameter estimation difficulties found to affect desert ecohydrological applications. Specifically, the procedure iterates through data from various observation sites to alleviate adverse filter impacts from non-Gaussianity in small desert vegetation state values. It also readjusts inconsistent parameters and states through a model spin-up step that accounts for longer dynamical time scales due to infrequent rainfall in deserts. Observation error variance inflation may also be needed to help prevent divergence of estimates from true values. Synthetic test results highlight the importance of adequate observations for reducing model uncertainty, which can be achieved through data quality or quantity.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014WR015281","usgsCitation":"Ng, G.C., Bedford, D., and Miller, D., 2014, A mechanistic modeling and data assimilation framework for Mojave Desert ecohydrology: Water Resources Research, v. 50, no. 6, p. 4662-4685, https://doi.org/10.1002/2014WR015281.","productDescription":"24 p.","startPage":"4662","endPage":"4685","ipdsId":"IP-055966","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":472877,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014wr015281","text":"Publisher Index Page"},{"id":342944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.675,\n 35.175\n ],\n [\n -115.516667,\n 35.175\n ],\n [\n -115.516667,\n 34.983333\n ],\n [\n -115.675,\n 34.983333\n ],\n [\n -115.675,\n 35.175\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-05","publicationStatus":"PW","scienceBaseUri":"59536eade4b062508e3c7aa5","contributors":{"authors":[{"text":"Ng, Gene-Hua Crystal gng@usgs.gov","contributorId":5313,"corporation":false,"usgs":true,"family":"Ng","given":"Gene-Hua","email":"gng@usgs.gov","middleInitial":"Crystal","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":700772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedford, David dbedford@usgs.gov","contributorId":140767,"corporation":false,"usgs":true,"family":"Bedford","given":"David","email":"dbedford@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700774,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188319,"text":"70188319 - 2014 - Parameter optimization, sensitivity, and uncertainty analysis of an ecosystem model at a forest flux tower site in the United States","interactions":[],"lastModifiedDate":"2017-06-06T10:45:22","indexId":"70188319","displayToPublicDate":"2014-07-16T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5407,"text":"Journal of Advances in Modeling Earth Systems","active":true,"publicationSubtype":{"id":10}},"title":"Parameter optimization, sensitivity, and uncertainty analysis of an ecosystem model at a forest flux tower site in the United States","docAbstract":"

Ecosystem models are useful tools for understanding ecological processes and for sustainable management of resources. In biogeochemical field, numerical models have been widely used for investigating carbon dynamics under global changes from site to regional and global scales. However, it is still challenging to optimize parameters and estimate parameterization uncertainty for complex process-based models such as the Erosion Deposition Carbon Model (EDCM), a modified version of CENTURY, that consider carbon, water, and nutrient cycles of ecosystems. This study was designed to conduct the parameter identifiability, optimization, sensitivity, and uncertainty analysis of EDCM using our developed EDCM-Auto, which incorporated a comprehensive R package—Flexible Modeling Framework (FME) and the Shuffled Complex Evolution (SCE) algorithm. Using a forest flux tower site as a case study, we implemented a comprehensive modeling analysis involving nine parameters and four target variables (carbon and water fluxes) with their corresponding measurements based on the eddy covariance technique. The local sensitivity analysis shows that the plant production-related parameters (e.g., PPDF1 and PRDX) are most sensitive to the model cost function. Both SCE and FME are comparable and performed well in deriving the optimal parameter set with satisfactory simulations of target variables. Global sensitivity and uncertainty analysis indicate that the parameter uncertainty and the resulting output uncertainty can be quantified, and that the magnitude of parameter-uncertainty effects depends on variables and seasons. This study also demonstrates that using the cutting-edge R functions such as FME can be feasible and attractive for conducting comprehensive parameter analysis for ecosystem modeling.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013MS000298","usgsCitation":"Wu, Y., Liu, S., Huang, Z., and Yan, W., 2014, Parameter optimization, sensitivity, and uncertainty analysis of an ecosystem model at a forest flux tower site in the United States: Journal of Advances in Modeling Earth Systems, v. 6, no. 2, p. 405-419, https://doi.org/10.1002/2013MS000298.","productDescription":"15 p.","startPage":"405","endPage":"419","ipdsId":"IP-054696","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":488652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013ms000298","text":"Publisher Index Page"},{"id":342139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Harvard Forest Environmental Monitoring Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.19193458557129,\n 42.527404736562765\n ],\n [\n -72.16086387634276,\n 42.527404736562765\n ],\n [\n -72.16086387634276,\n 42.54757927368963\n ],\n [\n -72.19193458557129,\n 42.54757927368963\n ],\n [\n -72.19193458557129,\n 42.527404736562765\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-27","publicationStatus":"PW","scienceBaseUri":"5937bf2fe4b0f6c2d0d9c778","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Zhihong","contributorId":192636,"corporation":false,"usgs":false,"family":"Huang","given":"Zhihong","email":"","affiliations":[],"preferred":false,"id":697201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yan, Wende","contributorId":192438,"corporation":false,"usgs":false,"family":"Yan","given":"Wende","email":"","affiliations":[],"preferred":false,"id":697202,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70108083,"text":"ofr20141104 - 2014 - Discharge, water quality, and native fish abundance in the Virgin River, Utah, Nevada, and Arizona, in support of Pah Tempe Springs discharge remediation efforts","interactions":[],"lastModifiedDate":"2017-04-10T15:19:55","indexId":"ofr20141104","displayToPublicDate":"2014-07-15T12:32:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1104","title":"Discharge, water quality, and native fish abundance in the Virgin River, Utah, Nevada, and Arizona, in support of Pah Tempe Springs discharge remediation efforts","docAbstract":"

Pah Tempe Springs discharge hot, saline, low dissolved-oxygen water to the Virgin River in southwestern Utah, which is transported downstream to Lake Mead and the Colorado River. The dissolved salts in the Virgin River negatively influence the suitability of this water for downstream agricultural, municipal, and industrial use. Therefore, various remediation scenarios to remove the salt load discharged from Pah Tempe Springs to the Virgin River are being considered. One concern about this load removal is the potential to impact the ecology of the Virgin River. Specifically, information is needed regarding possible impacts of Pah Tempe Springs remediation scenarios on the abundance, distribution, and survival of native fish in the Virgin River. Future efforts that aim to quantitatively assess how various remediation scenarios to reduce the load of dissolved salts from Pah Tempe Springs into the Virgin River may influence the abundance, distribution, and survival of native fish will require data on discharge, water quality, and native fish abundance. This report contains organized accessible discharge, water quality, and native fish abundance data sets from the Virgin River, documents the compilation of these data, and discusses approaches for quantifying relations between abiotic physical and chemical conditions, and fish abundance.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141104","collaboration":"Prepared in cooperation with the Colorado River Basin Salinity Control Forum","usgsCitation":"Miller, M.P., Lambert, P.M., and Hardy, T., 2014, Discharge, water quality, and native fish abundance in the Virgin River, Utah, Nevada, and Arizona, in support of Pah Tempe Springs discharge remediation efforts: U.S. Geological Survey Open-File Report 2014-1104, Report: v, 16 p.; Appendixes 1-8, https://doi.org/10.3133/ofr20141104.","productDescription":"Report: v, 16 p.; Appendixes 1-8","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-046372","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":290133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141104.JPG"},{"id":290138,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1104/pdf/ofr2014-1104.pdf"},{"id":290131,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1104/"},{"id":290139,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1104/downloads/ofr2014-1104_appendixes.zip","text":"Appendixes 1-8"}],"country":"United States","state":"Arizona, Nevada, Utah","otherGeospatial":"Pah Tempe Springs, Virgin River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.03,31.22 ], [ -120.03,42.0 ], [ -108.98,42.0 ], [ -108.98,31.22 ], [ -120.03,31.22 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53c63f50e4b0001bd5147729","contributors":{"authors":[{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lambert, Patrick M. 0000-0001-6808-2303 plambert@usgs.gov","orcid":"https://orcid.org/0000-0001-6808-2303","contributorId":349,"corporation":false,"usgs":true,"family":"Lambert","given":"Patrick","email":"plambert@usgs.gov","middleInitial":"M.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":493955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hardy, Thomas B.","contributorId":62936,"corporation":false,"usgs":true,"family":"Hardy","given":"Thomas B.","affiliations":[],"preferred":false,"id":493957,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}