Coastal waterbird populations are threatened by habitat loss and degradation from urban and agricultural development and forecasted sea level rise associated with climate change. Remaining wetlands often must be managed to ensure that waterbird habitat needs, and other ecosystem functions, are met. For many waterbirds, the availability of island nesting habitat is important for conserving breeding populations. We used linear mixed models to investigate the influence of pond and island landscape characteristics on nest abundance and nest success of American avocets (Recurvirostra americana), black-necked stilts (Himantopus mexicanus), and Forster's terns (Sterna forsteri) in San Francisco Bay, California, USA, based on a 9-year dataset that included >9,000 nests. Nest abundance and nest success were greatest within ponds and on individual islands located either <1 km or >4 km from San Francisco Bay. Further, nest abundance was greater within ponds with relatively few islands, and on linear-shaped, highly elongated islands compared to more rounded islands. Nest success was greater on islands located away from the nearest surrounding pond levee. Compared to more rounded islands, linear islands contained more near-water habitat preferred by many nesting waterbirds. Islands located away from pond levees may provide greater protection from terrestrial egg and chick predators. Our results indicate that creating and maintaining a few, relatively small, highly elongated and narrow islands away from mainland levees, in as many wetland ponds as possible would be effective at providing waterbirds with preferred nesting habitat.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21120","usgsCitation":"Hartman, C.A., Ackerman, J., and Herzog, M.P., 2016, Island characteristics within wetlands influence waterbird nest success and abundance: Journal of Wildlife Management, v. 80, no. 7, p. 1177-1188, https://doi.org/10.1002/jwmg.21120.","productDescription":"11 p.","startPage":"1177","endPage":"1188","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075274","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":328034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.22290039062499,\n 38.07187927827001\n ],\n [\n -122.30804443359375,\n 38.151837403006766\n ],\n [\n -122.39593505859376,\n 38.16911413556086\n ],\n [\n -122.53051757812499,\n 38.10646650598286\n ],\n [\n -122.57171630859375,\n 38.01131226070673\n ],\n [\n -122.64038085937499,\n 37.896530447543\n ],\n [\n -122.62664794921874,\n 37.78156937014928\n ],\n [\n -122.58270263671876,\n 37.65773212628274\n ],\n [\n -122.53601074218751,\n 37.61423141542417\n ],\n [\n -122.5250244140625,\n 37.43343148473673\n ],\n [\n -122.44262695312501,\n 37.34832607355296\n ],\n [\n -122.08282470703124,\n 37.36797435878155\n ],\n [\n -121.88232421875,\n 37.39416407012379\n ],\n [\n -121.80816650390625,\n 37.446516047833484\n ],\n [\n -121.77520751953125,\n 37.62075814551956\n ],\n [\n -121.728515625,\n 37.75551557687061\n ],\n [\n -121.7120361328125,\n 37.85316995894978\n ],\n [\n -121.91253662109376,\n 37.98317483351337\n ],\n [\n -121.9921875,\n 38.02862223458794\n ],\n [\n -122.22290039062499,\n 38.07187927827001\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"80","issue":"7","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-18","publicationStatus":"PW","scienceBaseUri":"57c6b091e4b0f2f0cebe5e77","contributors":{"authors":[{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":647418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":647417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":647419,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174826,"text":"70174826 - 2016 - Mining-related sediment and soil contamination in a large Superfund site: Characterization, habitat implications, and remediation","interactions":[],"lastModifiedDate":"2016-09-16T16:39:55","indexId":"70174826","displayToPublicDate":"2016-07-18T12:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Mining-related sediment and soil contamination in a large Superfund site: Characterization, habitat implications, and remediation","docAbstract":"Historical mining activity (1850–1970) in the now inactive Tri-State Mining District provided an ongoing source of lead and zinc to the environment including the US Environmental Protection Agency Superfund site located in Cherokee County, southeast Kansas, USA. The resultant contamination adversely affected biota and caused human health problems and risks. Remediation in the Superfund site requires an understanding of the magnitude and extent of contamination. To provide some of the required information, a series of sediment and soil investigations were conducted in and near the Superfund site to characterize lead and zinc contamination in the aquatic and floodplain environments along the main-stem Spring River and its major tributaries. In the Superfund site, the most pronounced lead and zinc contamination, with concentrations that far exceed sediment quality guidelines associated with potential adverse biological effects, was measured for streambed sediments and floodplain soils located within or downstream from the most intensive mining-affected areas. Tributary streambeds and floodplains in affected areas are heavily contaminated with some sites having lead and zinc concentrations that are an order of magnitude (or more) greater than the sediment quality guidelines. For the main-stem Spring River, the streambed is contaminated but the floodplain is mostly uncontaminated. Measured lead and zinc concentrations in streambed sediments, lakebed sediments, and floodplain soils documented a persistence of the post-mining contamination on a decadal timescale. These results provide a basis for the prioritization, development, and implementation of plans to remediate contamination in the affected aquatic and floodplain environments within the Superfund site.
","language":"English","publisher":"Springer","doi":"10.1007/s00267-016-0729-8","usgsCitation":"Juracek, K.E., and Drake, K.D., 2016, Mining-related sediment and soil contamination in a large Superfund site: Characterization, habitat implications, and remediation: Environmental Management, v. 58, no. 4, p. 721-740, https://doi.org/10.1007/s00267-016-0729-8.","productDescription":"20 p.","startPage":"721","endPage":"740","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071176","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":325360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","county":"Cherokee County","otherGeospatial":"Spring River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.93698120117188,\n 37.00035919622158\n ],\n [\n -94.93698120117188,\n 37.323212446730174\n ],\n [\n -94.61975097656249,\n 37.323212446730174\n ],\n [\n -94.61975097656249,\n 37.00035919622158\n ],\n [\n -94.93698120117188,\n 37.00035919622158\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-29","publicationStatus":"PW","scienceBaseUri":"578defa4e4b0f1bea0e03bd1","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":642716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drake, K. D.","contributorId":172945,"corporation":false,"usgs":false,"family":"Drake","given":"K.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":642717,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174830,"text":"70174830 - 2016 - Time-varying land subsidence detected by radar altimetry: California, Taiwan and north China","interactions":[],"lastModifiedDate":"2019-09-09T09:33:20","indexId":"70174830","displayToPublicDate":"2016-07-18T12:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Time-varying land subsidence detected by radar altimetry: California, Taiwan and north China","docAbstract":"Contemporary applications of radar altimetry include sea-level rise, ocean circulation, marine gravity, and ice sheet elevation change. Unlike InSAR and GNSS, which are widely used to map surface deformation, altimetry is neither reliant on highly temporally-correlated ground features nor as limited by the available spatial coverage, and can provide long-term temporal subsidence monitoring capability. Here we use multi-mission radar altimetry with an approximately 23 year data-span to quantify land subsidence in cropland areas. Subsidence rates from TOPEX/POSEIDON, JASON-1, ENVISAT, and JASON-2 during 1992–2015 show time-varying trends with respect to displacement over time in California’s San Joaquin Valley and central Taiwan, possibly related to changes in land use, climatic conditions (drought) and regulatory measures affecting groundwater use. Near Hanford, California, subsidence rates reach 18 cm/yr with a cumulative subsidence of 206 cm, which potentially could adversely affect operations of the planned California High-Speed Rail. The maximum subsidence rate in central Taiwan is 8 cm/yr. Radar altimetry also reveals time-varying subsidence in the North China Plain consistent with the declines of groundwater storage and existing water infrastructure detected by the Gravity Recovery And Climate Experiment (GRACE) satellites, with rates reaching 20 cm/yr and cumulative subsidence as much as 155 cm.
","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/srep28160","usgsCitation":"Hwang, C., Yang, Y., Kao, R., Han, J., Shum, C., Galloway, D.L., Sneed, M., Hung, W., Cheng, Y., and Li, F., 2016, Time-varying land subsidence detected by radar altimetry: California, Taiwan and north China: Scientific Reports, v. 6, p. 1-12, https://doi.org/10.1038/srep28160.","productDescription":"Article 28160; 12 p.","startPage":"1","endPage":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066742","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":470742,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep28160","text":"Publisher Index Page"},{"id":325357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, Taiwan, United States","state":"California","volume":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-21","publicationStatus":"PW","scienceBaseUri":"578defa4e4b0f1bea0e03bd5","contributors":{"authors":[{"text":"Hwang, Cheinway 0000-0002-3322-353X","orcid":"https://orcid.org/0000-0002-3322-353X","contributorId":172932,"corporation":false,"usgs":false,"family":"Hwang","given":"Cheinway","email":"","affiliations":[{"id":27120,"text":"Department of Civil Engineering, National Chiao Tung University, Taiwan","active":true,"usgs":false}],"preferred":false,"id":642676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, Yuande","contributorId":172933,"corporation":false,"usgs":false,"family":"Yang","given":"Yuande","email":"","affiliations":[{"id":27121,"text":"Chinese Antarctic Center of Surveying and Mapping, Wuhan University, China","active":true,"usgs":false}],"preferred":false,"id":642677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kao, Ricky","contributorId":172934,"corporation":false,"usgs":false,"family":"Kao","given":"Ricky","email":"","affiliations":[{"id":27120,"text":"Department of Civil Engineering, National Chiao Tung University, Taiwan","active":true,"usgs":false}],"preferred":false,"id":642678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Han, Jiancheng","contributorId":172935,"corporation":false,"usgs":false,"family":"Han","given":"Jiancheng","email":"","affiliations":[{"id":27120,"text":"Department of Civil Engineering, National Chiao Tung University, Taiwan","active":true,"usgs":false}],"preferred":false,"id":642679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shum, C.K.","contributorId":172936,"corporation":false,"usgs":false,"family":"Shum","given":"C.K.","email":"","affiliations":[{"id":27122,"text":"Division of Geodetic Science, School of Earth Science, the Ohio State University","active":true,"usgs":false}],"preferred":false,"id":642680,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Galloway, Devin L. 0000-0003-0904-5355 dlgallow@usgs.gov","orcid":"https://orcid.org/0000-0003-0904-5355","contributorId":679,"corporation":false,"usgs":true,"family":"Galloway","given":"Devin","email":"dlgallow@usgs.gov","middleInitial":"L.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642675,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":155,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642681,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hung, Wei-Chia","contributorId":172937,"corporation":false,"usgs":false,"family":"Hung","given":"Wei-Chia","email":"","affiliations":[{"id":27123,"text":"Green Environmental Engineering Consultant Co. LTD, Hsinchu, Taiwan","active":true,"usgs":false}],"preferred":false,"id":642682,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cheng, Yung-Sheng","contributorId":172938,"corporation":false,"usgs":false,"family":"Cheng","given":"Yung-Sheng","email":"","affiliations":[{"id":27120,"text":"Department of Civil Engineering, National Chiao Tung University, Taiwan","active":true,"usgs":false}],"preferred":false,"id":642683,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Li, Fei","contributorId":172939,"corporation":false,"usgs":false,"family":"Li","given":"Fei","email":"","affiliations":[{"id":27121,"text":"Chinese Antarctic Center of Surveying and Mapping, Wuhan University, China","active":true,"usgs":false}],"preferred":false,"id":642684,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70174021,"text":"ofr20161108 - 2016 - Pacific walrus coastal haulout database, 1852-2016— Background report","interactions":[],"lastModifiedDate":"2018-06-16T17:47:52","indexId":"ofr20161108","displayToPublicDate":"2016-07-18T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1108","title":"Pacific walrus coastal haulout database, 1852-2016— Background report","docAbstract":"Walruses are large benthic predators that rest out of water between foraging bouts. Coastal “haulouts” (places where walruses rest) are formed by adult males in summer and sometimes by females and young when sea ice is absent, and are often used repeatedly across seasons and years. Understanding the geography and historical use of haulouts provides a context for conservation efforts. We summarize information on Pacific walrus haulouts from available reports (n =151), interviews with coastal residents and aviators, and personal observations of the authors. We provide this in the form of a georeferenced database that can be queried and displayed with standard geographic information system and database management software. The database contains 150 records of Pacific walrus haulouts, with a summary of basic characteristics on maximum haulout aggregation size, age-sex composition, season of use, and decade of most recent use. Citations to reports are provided in the appendix and as a bibliographic database. Haulouts were distributed across the coasts of the Pacific walrus range; however, the largest (maximum >10,000 walruses) of the haulouts reported in the recent 4 decades (n=19) were concentrated on the Russian shores in regions near the Bering Strait and northward into the western Chukchi Sea (n=17). Haulouts of adult female and young walruses primarily occurred in the Bering Strait region and areas northward, with others occurring in the central Bering Sea, Gulf of Anadyr, and Saint Lawrence Island regions. The Gulf of Anadyr was the only region to contain female and young walrus haulouts, which formed after the northward spring migration and prior to autumn ice formation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161108","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and Chukot-TINRO and Institute of Biological Problems of the North Far East Branch of Russian Academy of Sciences","usgsCitation":"Fischbach, A.S., Kochnev, A.A., Garlich-Miller, J.L., and Jay, C.V., 2016, Pacific walrus coastal haulout database, 1852-2016— Background report: U.S. Geological Survey Open-File Report 2016-1108, Report: iv, 27 p.; Data Release, https://doi.org/10.3133/ofr20161108.","productDescription":"Report: iv, 27 p.; Data Release","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076335","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":325339,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7RX994P","text":"USGS data release","description":"USGS data release","linkHelpText":"Pacific Walrus Coastal Haulout Database, 1852-2016"},{"id":438584,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VD6WK5","text":"USGS data release","linkHelpText":"ArcGIS Mapping Service for Pacific Walrus Coastal Haulouts"},{"id":438583,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7RX994P","text":"USGS data release","linkHelpText":"Pacific Walrus Coastal Haulout Database 1852-2016"},{"id":325338,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1108/ofr20161108.pdf","text":"Report","size":"1.3","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1108 Report PDF"},{"id":325337,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1108/coverthb.jpg"}],"country":"Russia, United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -203.642578125,\n 50.12057809796008\n ],\n [\n -203.642578125,\n 72.18180355624855\n ],\n [\n -149.765625,\n 72.18180355624855\n ],\n [\n -149.765625,\n 50.12057809796008\n ],\n [\n -203.642578125,\n 50.12057809796008\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Alaska Science Center
U.S. Geological Survey
4210 University Dr
Anchorage, Alaska 99508-4560
http://alaska.usgs.gov
The Equus Beds aquifer in south-central Kansas is aprimary water source for the city of Wichita. The Equus Beds aquifer storage and recovery (ASR) project was developed to help the city of Wichita meet increasing current (2016) and future water demands. The Equus Beds ASR project pumps water out of the Little Arkansas River during above-base flow conditions, treats it using drinking-water quality standards as a guideline, and recharges it into the Equus Beds aquifer for later use. Phase II of the Equus Beds ASR project currently (2016) includes a river intake facility and a surface-water treatment facility with a 30 million gallon per day capacity. Water diverted from the Little Arkansas River is delivered to an adjacent presedimentation basin for solids removal. Subsequently, waste from the surface-water treatment facility and the presedimentation basin is returned to the Little Arkansas River through a residuals return line. The U.S. Geological Survey, in cooperation with the city of Wichita, developed and implemented a hydrobiological monitoring program as part of the ASR project to characterize and quantify the effects of aquifer storage and recovery activities on the Little Arkansas River and Equus Beds aquifer water quality.
Data were collected from 2 surface-water sites (one upstream and one downstream from the residuals return line), 1 residuals return line site, and 2 groundwater well sites (each having a shallow and deep part): the Little Arkansas River upstream from the ASR facility near Sedgwick, Kansas (upstream surface-water site 375350097262800), about 0.03 mile (mi) upstream from the residuals return line site; the Little Arkansas River near Sedgwick, Kans. (downstream surface-water site 07144100), about 1.68 mi downstream from the residuals return line site; discharge from the Little Arkansas River ASR facility near Sedgwick, Kansas (residuals return line site 375348097262800); 25S 01 W 07BCCC01 SMW–S11 near CW36 (MW–7 shallow groundwater well site 375327097285401); 25S01 W 07BCCC02 DMW–S10 near CW36 (MW–7 deep groundwater well site 375327097285402); 25S 01W 07BCCA01 SMW–S13 near CW36 (MW–8 shallow groundwater well site 375332097284801); and 25S 01W 07BCCA02 DMW–S14 near CW36 (MW–8 deep groundwater well site 375332097284802). The U.S. Geological Survey, in cooperation with the city of Wichita, assessed the effects of the ASR Phase II facility residuals return line discharges on stream quality of the Little Arkansas River by measuring continuous physicochemical properties and collecting discrete water-quality and sediment samples for about 2 years pre- (January 2011 through April 2013) and post-ASR (May 2013 through December 2014) Phase II facility operation upstream and downstream from the ASR Phase II facility. Additionally, habitat variables were quantified and macroinvertebrate and fish communities were sampled upstream and downstream from the ASR Phase II facility during the study period. To assess the effects of aquifer recharge on Equus Beds groundwater quality, continuous physicochemical properties were measured and discrete water-quality samples were collected before and during the onset of Phase II aquifer recharge in two (shallow and deep) groundwater wells.
Little Arkansas River streamflow was about 10 times larger after the facility began operating because of greater rainfall. Residuals return line release volumes were a very minimal proportion (0.06 percent) of downstream streamflow volume during the months the ASR facility was operating. Upstream and downstream continuously measured water temperature and dissolved oxygen median differences were smaller post-ASR than pre-ASR. Turbidity generally was smaller at the downstream site throughout the study period and decreased at both sites after the ASR Phase II facility began discharging despite a median residuals return line turbidity that was about an order of magnitude larger than the median turbidity at the downstream site. Upstream and downstream continuously measured turbidity median differences were larger post-ASR than pre-ASR. Median post-ASR continuously measured nitrite plus nitrate and continuously computed total suspended solids and suspended-sediment concentrations were smaller than pre-ASR likely because of higher streamflows and dilution; whereas, median continuously computed dissolved and total organic carbon concentrations were larger likely because of higher streamflows and runoff conditions.
None of the discretely measured water-quality constituents (dissolved and suspended solids, primary ions, suspended sediment, nutrients, carbon, trace elements, viral and bacterial indicators, and pesticides) in surface water were significantly different between the upstream and downstream sites after the ASR Phase II facility began discharging; however, pre-ASR calcium, sodium, hardness, manganese, and arsenate concentrations were significantly larger at the upstream site, which indicates that some water-quality conditions at the upstream and downstream sites were more similar post-ASR. Most of the primary constituents that make up dissolved solids decreased at both sites after the ASR Phase II facility began operation. Discretely collected total suspended solids concentrations were similar between the upstream and downstream sites before the facility began operating but were about 27 percent smaller at the downstream site after the facility began operating, despite the total suspended solids concentrations in the residuals return line being 15 times larger than the downstream site.
Overall habitat scores were indicative of suboptimal conditions upstream and downstream from the ASR Phase II facility throughout the study period. Substrate fouling and sediment deposition mean scores indicated marginal conditions at the upstream and downstream sites during the study period, demonstrating that sediment deposition was evident pre- and post-ASR and no substantial changes in these habitat characteristics were noted after the ASR Phase II facility began discharging. Macroinvertebrate community composition (evaluated using functional feeding, behavioral, and tolerance metrics) generally was similar between sites during the study period. Fewer macroinvertebrate metrics were significant between the upstream and downstream sites post-ASR (6) than pre-ASR (14), which suggests that macroinvertebate communities were more similar after the ASR facility began discharging. Upstream-downstream comparisons in macroinvertebrate aquatic-life-support metrics had no significant differences for the post-ASR time period and neither site was fully supporting for any of the Kansas Department of Health and Environment aquatic-life-support metrics (Macroinvertebrate Biotic Index; Kansas Biotic Index with tolerances for nutrients and oxygen-demanding substances; Ephemeroptera, Plecoptera, and Trichoptera [EPT] richness; and percentage of EPT species). Overall, using macroinvertebrate aquatic life-support criteria from the Kansas Department of Health and Environment, upstream and downstream sites were classified as partially supporting before and after the onset of ASR facility operations. Fish community trophic status and tolerance groups generally were similar among sites during the study period. Fish community Little Arkansas River Basin Index of Biotic Integrity scores at the upstream and downstream sites were indicative of fair-to-good conditions before the facility began operating and decreased to fair conditions after the facility began operating.
Groundwater physicochemical changes concurrent with the beginning of recharge operations at the Sedgwick basin were more pronounced in shallow groundwater. No constituent concentrations in the pre-recharge period in comparison to the post-recharge period increased to concentrations exceeding drinking water regulations; however, nitrate decreased significantly from a pre-recharge exceedance of the U.S. Environmental Protection Agency maximum contaminant level to a post recharge nonexceedance. Shallow groundwater chemical concentrations or rates of detection increased after artificial recharge began for the ions potassium, chloride, and fluoride; phosphorus and organic carbon species; trace elements barium, manganese, nickel, arsenate, arsenic, and boron; agricultural pesticides atrazine, metolachlor, metribuzin, and simazine; organic disinfection byproducts bromodichloromethane and trichloromethane; and gross beta levels. Additionally, water temperature, and pH were larger after recharge began; and total solids and slime-forming bacteria concentrations and densities were smaller. Total solids, nitrate, and selenium significantly decreased; and potassium, chloride, nickel, arsenic, fluoride, phosphorus and carbon species, and gross beta levels significantly increased in shallow groundwater after artificial recharge. Results of biological activity reaction tests indicated that water quality microbiology was different before and after artificial recharge began; at times, these differences may lead to changes in dominant bacterial populations that, in turn, may lead to formation and expansion in populations that may cause bioplugging and other unwanted effects. Calcite, iron (II) hydroxide, hydroxyapatite, and similar minerals, had shifts in saturation indices that generally were from undersaturation toward equilibrium and, in some cases, toward oversaturation. These shifts toward neutral saturation indices might suggest reduced weathering of the minerals present in the Equus Beds aquifer. Chemical weathering in the shallow parts of the aquifer may be accelerated because of the increased water temperatures and the system is more vulnerable to clogged pores and mineral dissolution as the equilibrium state is affected by recharge and withdrawal. When oversaturation is indicated for iron minerals, plugging of aquifer materials may happen.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165042","collaboration":"Prepared in cooperation with the City of Wichita, Kansas","usgsCitation":"Stone, M.L., Garrett, J.D., Poulton, B.C., and Ziegler, A.C., 2016, Effects of aquifer storage and recovery activities on water quality in the Little Arkansas River and Equus Beds aquifer, south-central Kansas, 2011–14: U.S. Geological Survey Scientific Investigations Report 2016–5024, 88 p., https://dx.doi.org/10.3133/sir20165042.","productDescription":"Report: xii, 88 p.; Appendix Files","numberOfPages":"104","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-068666","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":325362,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5042/sir20165042.pdf","text":"Report","size":"5.59 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5024"},{"id":325361,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5042/coverthb.jpg"},{"id":325363,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5042/sir20165042_appendixtables.xlsx","text":"Appendix Files","size":"199 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5024 Appendix Files"}],"country":"United States","state":"Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.70416259765625,\n 38.10106333042556\n ],\n [\n -97.57232666015625,\n 38.09998264736481\n ],\n [\n -97.57781982421875,\n 38.08160859009049\n ],\n [\n -97.55035400390625,\n 38.0545795282119\n ],\n [\n -97.525634765625,\n 38.019967758742766\n ],\n [\n -97.48580932617188,\n 38.01239425385966\n ],\n [\n -97.43499755859374,\n 37.94203148678865\n ],\n [\n -97.42813110351562,\n 37.90845010709064\n ],\n [\n -97.36221313476562,\n 37.814123701604466\n ],\n [\n -97.46520996093749,\n 37.814123701604466\n ],\n [\n -97.47894287109375,\n 37.82280243352756\n ],\n [\n -97.50640869140625,\n 37.820632846207864\n ],\n [\n -97.52838134765624,\n 37.83473402375478\n ],\n [\n -97.57095336914062,\n 37.85859141570558\n ],\n [\n -97.61764526367188,\n 37.87702138607635\n ],\n [\n -97.67120361328125,\n 37.88677656291023\n ],\n [\n -97.70278930664062,\n 37.898697801966094\n ],\n [\n -97.70416259765625,\n 38.10106333042556\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
4821 Quail Crest Place Lawrence, KS 66049
The influence of streamflow on survival of emigrating juvenile Pacific salmonids Oncorhynchus spp. (smolts) is a major concern for water managers throughout the northeast Pacific Rim. However, few studies have quantified flow effects on smolt survival, and available information does not indicate a consistent flow–survival relationship within the typical range of flows under management control. In the Yakima Basin, Washington, the potential effects of streamflow alterations on smolt survival have been debated for over 20 years. Using a series of controlled flow releases from upper basin reservoirs and radiotelemetry, we quantified the relationship between flow and yearling Chinook salmon smolt survival in the 208 km reach between Roza Dam and the Yakima River mouth. A multistate mark–recapture model accounted for weekly variation in flow conditions experienced by tagged fish in four discrete river segments. Smolt survival was significantly associated with streamflow in the Roza Reach [river kilometre (rkm) 208–189] and marginally associated with streamflow in the Sunnyside Reach (rkm 169–77). However, smolt survival was not significantly associated with flow in the Naches and Prosser Reaches (rkm 189–169 and rkm 77–3). This discrepancy indicates potential differences in underlying flow-related survival mechanisms, such as predation or passage impediments. Our results clarify trade-offs between flow augmentation for fisheries enhancement and other beneficial uses, and our study design provides a framework for resolving uncertainties about streamflow effects on migratory fish survival in other river systems.
","language":"English","publisher":"John Wiley & Sons, Ltd.","doi":"10.1002/rra.3066","usgsCitation":"Courter, I., Garrison, T., Kock, T.J., Perry, R.W., Child, D., and Hubble, J., 2016, Benefits of prescribed flows for salmon smolt survival enhancement vary longitudinally in a highly managed river system: River Research and Applications, v. 32, no. 10, p. 1999-2008, https://doi.org/10.1002/rra.3066.","productDescription":"10 p.","startPage":"1999","endPage":"2008","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-076303","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":325688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.91552734375,\n 46.057985244793024\n ],\n [\n -120.91552734375,\n 47.234489635299184\n ],\n [\n -117.71850585937501,\n 47.234489635299184\n ],\n [\n -117.71850585937501,\n 46.057985244793024\n ],\n [\n -120.91552734375,\n 46.057985244793024\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-15","publicationStatus":"PW","scienceBaseUri":"5799db36e4b0589fa1c7e6ce","contributors":{"authors":[{"text":"Courter, Ian","contributorId":173188,"corporation":false,"usgs":false,"family":"Courter","given":"Ian","affiliations":[{"id":27180,"text":"Mount Hood Environmental","active":true,"usgs":false}],"preferred":false,"id":643605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrison, Thomas","contributorId":173189,"corporation":false,"usgs":false,"family":"Garrison","given":"Thomas","affiliations":[{"id":27181,"text":"Fish Passage Center","active":true,"usgs":false}],"preferred":false,"id":643606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Child, David","contributorId":173190,"corporation":false,"usgs":false,"family":"Child","given":"David","affiliations":[{"id":27182,"text":"D.C. Consulting LLC","active":true,"usgs":false}],"preferred":false,"id":643608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hubble, Joel","contributorId":173191,"corporation":false,"usgs":false,"family":"Hubble","given":"Joel","affiliations":[{"id":27183,"text":"U.S. Bureau of Reclamation, Yakima Field Office","active":true,"usgs":false}],"preferred":false,"id":643609,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70171285,"text":"sir20165071 - 2016 - Spatial and temporal assessment of back-barrier erosion on Cumberland Island National Seashore, Georgia, 2011–2013","interactions":[],"lastModifiedDate":"2017-01-18T13:28:18","indexId":"sir20165071","displayToPublicDate":"2016-07-15T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5071","title":"Spatial and temporal assessment of back-barrier erosion on Cumberland Island National Seashore, Georgia, 2011–2013","docAbstract":"Much research has been conducted to better understand erosion and accretion processes for the seaward zones of coastal barrier islands; however, at Cumberland Island National Seashore, Georgia, the greater management concern is the effect that erosion is having on the resources of the island’s western shoreline, or the back barrier. Catastrophic slumping and regular rates of erosion greater than 1 meter per year threaten important habitat, historical and pre-historical resources, and modern infrastructure on the island. Prior research has helped National Park Service (NPS) staff identify the most severe and vulnerable areas, but in order to develop effective management actions, information is needed on what forces and conditions cause erosion. To this end, the U.S. Geological Survey, in cooperation with the NPS, conducted two longitudinal surveys, one each at the beginning and end of the approximately year-long monitoring period from late 2011 to early 2013, along five selected segments of the back barrier of the Cumberland Island National Seashore. Monitoring stations were constructed at four of these locations that had previously been identified as erosional hotspots. The magnitude of erosion at each location was quantified to determine the relative influence of causative agents. Results indicate that erosion is, in general, highly variable within and among these segments of the Cumberland Island National Seashore’s back barrier. Observed erosion ranged from a maximum of 2.5 meters of bluff-line retreat to some areas that exhibited no net erosion over the 1-year study period. In terms of timing of erosion, three of the four sites were primarily affected by punctuated erosional events that were coincident with above-average high tides and elevated wind speeds. The fourth site exhibited steady, low-magnitude retreat throughout the study period. While it is difficult to precisely subscribe certain amounts of erosion to specific agents, this study provides insight into the mode of erosion among sites and the interaction among factors that set up conditions that may be leading to punctuated events.
Estimates of sea-level rise were incorporated into the results of this study to project conditions that could be in place by the end of the 21st century. When using the erosion rates observed in this study to extrapolate future shoreline position, results indicate an average retreat (across all monitored locations) of 15 meters by 2050 and approximately 37 meters by 2100.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165071","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Calhoun, D.L., and Riley, J.W., 2016, Spatial and temporal assessment of back-barrier erosion on Cumberland Island National Seashore, Georgia, 2011–2013: U.S. Geological Survey Scientific Investigations Report 2016–5071, 32 p., https://dx.doi.org/10.3133/sir20165071. ","productDescription":"Report: vii, 44 p. Data Release","startPage":"1","endPage":"32","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-068286","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":438585,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z60M4M","text":"USGS data release","linkHelpText":"Geospatial, continuous, and point measure data for a spatial and temporal assessment of back-barrier erosion on Cumberland Island National Seashore, Georgia, 2011-2013:"},{"id":325288,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5071/coverthb.jpg"},{"id":325289,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5071/sir20165071.pdf","text":"Report","size":"3.55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5071"},{"id":325290,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7Z60M4M","text":"USGS data release - Geospatial, continuous, and point measure data for a spatial and temporal assessment of back-barrier erosion on Cumberland Island National Seashore, Georgia, 2011–2013"}],"country":"United States","state":"Georgia","otherGeospatial":"Cumberland Island National Seashore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.41555786132812,\n 30.981729962028048\n ],\n [\n -81.40045166015625,\n 30.97289931126414\n ],\n [\n -81.39701843261719,\n 30.958179744546715\n ],\n [\n -81.39770507812499,\n 30.90575967622237\n ],\n [\n -81.41487121582031,\n 30.85625820510563\n ],\n [\n -81.44233703613281,\n 30.80201297632633\n ],\n [\n -81.44233703613281,\n 30.711142637210045\n ],\n [\n -81.46430969238281,\n 30.707600499097804\n ],\n [\n -81.48490905761719,\n 30.727670895047673\n ],\n [\n -81.48628234863281,\n 30.745966732317395\n ],\n [\n -81.47701263427734,\n 30.778713503375876\n ],\n [\n -81.49417877197266,\n 30.813513165869683\n ],\n [\n -81.49486541748047,\n 30.853016145357284\n ],\n [\n -81.51134490966797,\n 30.879244211704183\n ],\n [\n -81.49417877197266,\n 30.907821682379147\n ],\n [\n -81.4632797241211,\n 30.92107637538488\n ],\n [\n -81.45538330078125,\n 30.926377738412445\n ],\n [\n -81.44096374511719,\n 30.932856783043764\n ],\n [\n -81.42997741699219,\n 30.95641324406724\n ],\n [\n -81.42791748046875,\n 30.971133083069482\n ],\n [\n -81.41555786132812,\n 30.981729962028048\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, South Atlantic Water Science Center
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720 Gracern Road
Columbia, SC 29210
http://www.usgs.gov/water/southatlantic/
A parameter regionalization scheme to transfer parameter values from gaged to ungaged areas for a monthly water balance model (MWBM) was developed and tested for the conterminous United States (CONUS). The Fourier Amplitude Sensitivity Test, a global-sensitivity algorithm, was implemented on a MWBM to generate parameter sensitivities on a set of 109 951 hydrologic response units (HRUs) across the CONUS. The HRUs were grouped into 110 calibration regions based on similar parameter sensitivities. Subsequently, measured runoff from 1575 streamgages within the calibration regions were used to calibrate the MWBM parameters to produce parameter sets for each calibration region. Measured and simulated runoff at the 1575 streamgages showed good correspondence for the majority of the CONUS, with a median computed Nash–Sutcliffe efficiency coefficient of 0.76 over all streamgages. These methods maximize the use of available runoff information, resulting in a calibrated CONUS-wide application of the MWBM suitable for providing estimates of water availability at the HRU resolution for both gaged and ungaged areas of the CONUS.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-20-2861-2016","usgsCitation":"Bock, A.R., Hay, L.E., McCabe, G., Markstrom, S.L., and Atkinson, R., 2016, Parameter regionalization of a monthly water balance model for the conterminous United States: Hydrology and Earth System Sciences, v. 20, p. 2861-2876, https://doi.org/10.5194/hess-20-2861-2016.","productDescription":"16 p.","startPage":"2861","endPage":"2876","ipdsId":"IP-067200","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":470749,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-20-2861-2016","text":"Publisher Index Page"},{"id":328838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328857,"rank":2,"type":{"id":30,"text":"Data 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\"}}]}\n","volume":"20","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-15","publicationStatus":"PW","scienceBaseUri":"57f7c695e4b0bc0bec09ca46","contributors":{"authors":[{"text":"Bock, Andrew R. 0000-0001-7222-6613 abock@usgs.gov","orcid":"https://orcid.org/0000-0001-7222-6613","contributorId":4580,"corporation":false,"usgs":true,"family":"Bock","given":"Andrew","email":"abock@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":649266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":649267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":1453,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":649268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":140378,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven","email":"markstro@usgs.gov","middleInitial":"L.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":649269,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atkinson, R. Dwight","contributorId":174777,"corporation":false,"usgs":false,"family":"Atkinson","given":"R. Dwight","affiliations":[{"id":27513,"text":"U.S. Environmental Protection Agency, Office of Water","active":true,"usgs":false}],"preferred":false,"id":649270,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70174876,"text":"70174876 - 2016 - Theory and application of semiochemicals in nuisance fish control","interactions":[],"lastModifiedDate":"2016-09-16T16:37:43","indexId":"70174876","displayToPublicDate":"2016-07-14T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2205,"text":"Journal of Chemical Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Theory and application of semiochemicals in nuisance fish control","docAbstract":"Controlling unwanted, or nuisance, fishes is becoming an increasingly urgent issue with few obvious solutions. Because fish rely heavily on semiochemicals, or chemical compounds that convey information between and within species, to mediate aspects of their life histories, these compounds are increasingly being considered as an option to help control wild fish. Possible uses of semiochemicals include measuring their presence in water to estimate population size, adding them to traps to count or remove specific species of fish, adding them to waterways to manipulate large-scale movement patterns, and saturating the environment with synthesized semiochemicals to disrupt responses to the natural cue. These applications may be especially appropriate for pheromones, chemical signals that pass between members of same species and which also have extreme specificity and potency. Alarm cues, compounds released by injured fish, and cues released by potential predators also could function as repellents and be especially useful if paired with pheromonal attractants in “push-pull” configurations. Approximately half a dozen attractive pheromones now have been partially identified in fish, and those for the sea lamprey and the common carp have been tested in the field with modest success. Alarm and predator cues for sea lamprey also have been tested in the laboratory and field with some success. Success has been hampered by our incomplete understanding of chemical identity, a lack of synthesized compounds, the fact that laboratory bioassays do not always reflect natural environments, and the relative difficulty of conducting trials on wild fishes because of short field seasons and regulatory requirements. Nevertheless, workers continue efforts to identify pheromones because of the great potential elucidated by insect control and the fact that few tools are available to control nuisance fish. Approaches developed for nuisance fish also could be applied to valued fishes, which suffer from a lack of powerful management tools.
","language":"English","publisher":"Springer","doi":"10.1007/s10886-016-0729-4","usgsCitation":"Sorensen, P.W., and Johnson, N., 2016, Theory and application of semiochemicals in nuisance fish control: Journal of Chemical Ecology, v. 42, no. 7, p. 698-715, https://doi.org/10.1007/s10886-016-0729-4.","productDescription":"18 p.","startPage":"698","endPage":"715","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-077173","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":325477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"7","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-14","publicationStatus":"PW","scienceBaseUri":"5790a191e4b030378fb47467","contributors":{"authors":[{"text":"Sorensen, Peter W.","contributorId":49720,"corporation":false,"usgs":true,"family":"Sorensen","given":"Peter","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":642945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":642944,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173928,"text":"ofr20161101 - 2016 - Low-flow frequency and flow duration of selected South Carolina streams in the Savannah and Salkehatchie River Basins through March 2014","interactions":[],"lastModifiedDate":"2016-11-15T09:31:00","indexId":"ofr20161101","displayToPublicDate":"2016-07-14T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1101","title":"Low-flow frequency and flow duration of selected South Carolina streams in the Savannah and Salkehatchie River Basins through March 2014","docAbstract":"An ongoing understanding of streamflow characteristics of the rivers and streams in South Carolina is important for the protection and preservation of the State’s water resources. Information concerning the low-flow characteristics of streams is especially important during critical flow periods, such as during the historic droughts that South Carolina has experienced in the past few decades.
In 2008, the U.S. Geological Survey, in cooperation with the South Carolina Department of Health and Environmental Control, initiated a study to update low-flow statistics at continuous-record streamgaging stations operated by the U.S. Geological Survey in South Carolina. This report presents the low-flow statistics for 28 selected streamgaging stations in the Savannah and Salkehatchie River Basins in South Carolina. The low-flow statistics include daily mean flow durations for the 5-, 10-, 25-, 50-, 75-, 90-, and 95-percent probability of exceedance and the annual minimum 1-, 3-, 7-, 14-, 30-, 60-, and 90-day mean flows with recurrence intervals of 2, 5, 10, 20, 30, and 50 years, depending on the length of record available at the streamgaging station. The low-flow statistics were computed from records available through March 31, 2014.
Low-flow statistics are influenced by length of record, hydrologic regime under which the data were collected, analytical techniques used, and other factors, such as urbanization, diversions, and droughts that may have occurred in the basin. To assess changes in the low-flow statistics from the previously published values, a comparison of the low-flow statistics for the annual minimum 7-day average streamflow with a 10-year recurrence interval (7Q10) from this study was made with the most recently published values. Of the 28 streamgaging stations for which recurrence interval computations were made, 14 streamgaging stations were suitable for comparing to low-flow statistics that were previously published in U.S. Geological Survey reports. These comparisons indicated that seven of the streamgaging stations had values lower than the previous values, two streamgaging stations had values higher than the previous values, and two streamgaging stations had values that were unchanged from previous values. The remaining three stations for which previous 7Q10 values were computed, which are located on the main stem of the Savannah River, were not compared with current estimates because of differences in the way the pre-regulation and regulated flow data were analyzed.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161101","collaboration":"Prepared in cooperation with the South Carolina Department of Health and Environmental Control","usgsCitation":"Feaster, T.D., and Guimaraes, W.B., 2016, Low-flow frequency and flow duration of selected South Carolina streams in the Savannah and Salkehatchie River Basins through March 2014 (ver. 1.1, November 2016): U.S. Geological Survey Open-File Report 2016–1101, 62 p., https://dx.doi.org/10.3133/ofr20161101.","productDescription":"vi, 62 p.","numberOfPages":"72","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-074376","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":325181,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1101/ofr20161101.pdf","text":"Report","size":"2.77 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 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U.S. Geological Survey
720 Gracern Road
Columbia, SC 29210
http://www.usgs.gov/water/southatlantic/
Mangrove ecosystems protect vulnerable coastlines from storm effects, recycle nutrients, stabilize shorelines, improve water quality, and provide habitat for commercial and recreational fish species as well as for threatened and endangered wildlife. U.S. Geological Survey scientists conduct research on mangrove ecosystems to provide reliable scientific information about their ecology, productivity, hydrological processes, carbon storage stress response, and restoration success. The Mangrove Science Network is a collaboration of USGS scientists focused on working with natural resource managers to develop and conduct research to inform decisions on mangrove management and restoration. Information about the Mangrove Science Network can be found at: http://www.usgs.gov/ecosystems/environments/mangroves.html.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip164","usgsCitation":"Ball, L.C., 2016, Mangrove postcard: U.S. Geological Survey General Information Product 164, 2 p., https://dx.doi.org/10.3133/gip164.","productDescription":"Postcard: 4.25 x 6.00 inches","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075295","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":323722,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0164/gip164.pdf","text":"Report","size":"797 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 164"},{"id":323721,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/0164/coverthb.jpg"}],"publicComments":"This product was prepared for dissemination at the USGS booth at the Fourth Mangrove and Macrobenthos Meeting (MMM4), which was held July 18--22, 2016, in St. Augustine, Fla.","contact":"Science Advisor, Environments Program
Ecosystems Mission Area
U.S. Geological Survey
301 National Center
Reston, VA 20192
https://www.usgs.gov/science/mission-areas/ecosystems/environments-program
Prediction of primary production of lentic water bodies (i.e., lakes and reservoirs) is valuable to researchers and resource managers alike, but is very rarely done at the global scale. With the development of remote sensing technologies, it is now feasible to gather large amounts of data across the world, including understudied and remote regions. To determine which factors were most important in explaining the variation of chlorophyll a (Chl-a), an indicator of primary production in water bodies, at global and regional scales, we first developed a geospatial database of 227 water bodies and watersheds with corresponding Chl-a, nutrient, hydrogeomorphic, and climate data. Then we used a generalized additive modeling approach and developed model selection criteria to select models that most parsimoniously related Chl-a to predictor variables for all 227 water bodies and for 51 lakes in the Laurentian Great Lakes region in the data set. Our best global model contained two hydrogeomorphic variables (water body surface area and the ratio of watershed to water body surface area) and a climate variable (average temperature in the warmest model selection criteria to select models that most parsimoniously related Chl-a to predictor variables quarter) and explained ~ 30% of variation in Chl-a. Our regional model contained one hydrogeomorphic variable (flow accumulation) and the same climate variable, but explained substantially more variation (58%). Our results indicate that a regional approach to watershed modeling may be more informative to predicting Chl-a, and that nearly a third of global variability in Chl-a may be explained using hydrogeomorphic and climate variables.
","language":"English","publisher":"International Society of Limnology","doi":"10.1080/IW-6.3.964","usgsCitation":"Woelmer, W., Kao, Y., Bunnell, D., Deines, A.M., Bennion, D., Rogers, M.W., Brooks, C., Sayers, M.J., Banach, D.M., Grimm, A.G., and Shuchman, R.A., 2016, Assessing the influence of watershed characteristics on chlorophyll a in waterbodies at global and regional scales: Inland Waters, v. 6, no. 3, p. 379-392, https://doi.org/10.1080/IW-6.3.964.","productDescription":"14 p.","startPage":"379","endPage":"392","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071310","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":325241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-02","publicationStatus":"PW","scienceBaseUri":"5788a99ae4b0d27deb3813c2","contributors":{"authors":[{"text":"Woelmer, Whitney 0000-0001-5147-3877 wwoelmer@usgs.gov","orcid":"https://orcid.org/0000-0001-5147-3877","contributorId":150485,"corporation":false,"usgs":true,"family":"Woelmer","given":"Whitney","email":"wwoelmer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":642453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kao, Yu-Chun","contributorId":35626,"corporation":false,"usgs":false,"family":"Kao","given":"Yu-Chun","affiliations":[{"id":6649,"text":"University of Michigan, School of Natural Resources and Environment","active":true,"usgs":false}],"preferred":false,"id":642454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":169859,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":642452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deines, Andrew M.","contributorId":166920,"corporation":false,"usgs":false,"family":"Deines","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":642455,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bennion, David H. 0000-0003-4927-4195 dbennion@usgs.gov","orcid":"https://orcid.org/0000-0003-4927-4195","contributorId":149533,"corporation":false,"usgs":true,"family":"Bennion","given":"David","email":"dbennion@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":642456,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":642457,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brooks, Colin N.","contributorId":103961,"corporation":false,"usgs":true,"family":"Brooks","given":"Colin N.","affiliations":[],"preferred":false,"id":642458,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sayers, Michael J.","contributorId":172893,"corporation":false,"usgs":false,"family":"Sayers","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":27113,"text":"Michigan Tech University","active":true,"usgs":false}],"preferred":false,"id":642459,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Banach, David M.","contributorId":172894,"corporation":false,"usgs":false,"family":"Banach","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":27113,"text":"Michigan Tech University","active":true,"usgs":false}],"preferred":false,"id":642460,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grimm, Amanda G.","contributorId":150482,"corporation":false,"usgs":false,"family":"Grimm","given":"Amanda","email":"","middleInitial":"G.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":642461,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shuchman, Robert A.","contributorId":150483,"corporation":false,"usgs":false,"family":"Shuchman","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":642462,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70174673,"text":"70174673 - 2016 - Long-term decreases in phosphorus and suspended solids, but not nitrogen, in six upper Mississippi River tributaries, 1991–2014","interactions":[],"lastModifiedDate":"2016-07-14T09:46:33","indexId":"70174673","displayToPublicDate":"2016-07-14T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Long-term decreases in phosphorus and suspended solids, but not nitrogen, in six upper Mississippi River tributaries, 1991–2014","docAbstract":"Long-term trends in tributaries provide valuable information about temporal changes in inputs of nutrients and sediments to large rivers. Data collected from 1991 to 2014 were used to investigate trends in total nitrogen (TN), total phosphorus (TP), nitrate (NO3–N), soluble-reactive P (SRP), and total suspended solids (TSS) in the following six tributaries of the upper Mississippi River: Cannon (CaR; Minnesota (MN)), Maquoketa (MR; Iowa (IA)), Wapsipinicon (WR; IA), Cuivre (CuR; Missouri (MO)), Chippewa (ChR; Wisconsin (WI)), and Black (BR; WI) rivers. Weighted regression on time discharge and season was used to statistically remove effects of random variation in discharge from estimated trends in flow-normalized concentrations and flux. Concentration and flux of TSS declined in all six rivers. Concentration of P declined in four of the rivers, and P flux declined in five rivers. Concentration and flux of N exhibited small changes relative to TP. TN concentration and flux did not change substantially in four of the rivers and decreased in two (ChR, CuR). Nitrate concentration and flux increased in three rivers (ChR, BR, CaR) and remained relatively constant in the other three rivers. General declines in P and TSS suggest that improvements in agricultural land management, such as the adoption of conservation tillage and enrollment of vulnerable acreage into the Conservation Reserve Program, may have reduced surface runoff; similar reductions in N were not observed.
","language":"English","publisher":"Springer","doi":"10.1007/s10661-016-5464-3","usgsCitation":"Kreiling, R., and Houser, J.N., 2016, Long-term decreases in phosphorus and suspended solids, but not nitrogen, in six upper Mississippi River tributaries, 1991–2014: Environmental Monitoring and Assessment, v. 188, Article 454; 19 p., https://doi.org/10.1007/s10661-016-5464-3.","productDescription":"Article 454; 19 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072837","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":325238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Upper Mississippi River Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.94335937499999,\n 36.98500309285596\n ],\n [\n -96.94335937499999,\n 47.60616304386874\n ],\n [\n -87.4072265625,\n 47.60616304386874\n ],\n [\n -87.4072265625,\n 36.98500309285596\n ],\n [\n -96.94335937499999,\n 36.98500309285596\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"188","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-08","publicationStatus":"PW","scienceBaseUri":"5788a99ce4b0d27deb3813c8","contributors":{"authors":[{"text":"Kreiling, Rebecca 0000-0002-9295-4156 rkreiling@usgs.gov","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":147679,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","email":"rkreiling@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":642463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houser, Jeffrey N. 0000-0003-3295-3132 jhouser@usgs.gov","orcid":"https://orcid.org/0000-0003-3295-3132","contributorId":2769,"corporation":false,"usgs":true,"family":"Houser","given":"Jeffrey","email":"jhouser@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":642464,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188884,"text":"70188884 - 2016 - The Provo shoreline of Lake Bonneville","interactions":[],"lastModifiedDate":"2020-08-25T17:24:48.558835","indexId":"70188884","displayToPublicDate":"2016-07-14T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"The Provo shoreline of Lake Bonneville","docAbstract":"G.K. Gilbert studied the Bonneville basin 150 years ago and his findings have largely stood the test of time: The Provo shoreline, the most prominent geomorphic feature of Lake Bonneville, reflects threshold-stabilized overflow of the lake after the Bonneville flood and before a drier climate caused the lake to shrink. Subsequent refinements in chronology allow the Provo lake to be identified as about 18.2–14.8 cal ka BP, and stratigraphic studies show that the lake was gradually growing deeper during that time. Because the lake deepened through time as isostatic rebound occurred, individual landforms in general reflect processes operating for a small part of the ~ 3400 year of Provo time. Opportunities remain to improve our knowledge of the Provo lake; topics include (1) refinement of lake levels using delta and beach stratigraphy; (2) improved understanding of lake water chemistry and its role in determining deep-water sediment and cave deposits, which have disparate interpretations; (3) identifying processes at the threshold that caused the lake level to rise; and (4) identifying climate variability signals during Provo time.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Developments in Earth Surface Processes 20","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","publisherLocation":"Amesterdam","doi":"10.1016/B978-0-444-63590-7.00007-X","usgsCitation":"Miller, D., 2016, The Provo shoreline of Lake Bonneville, chap. 7 of Developments in Earth Surface Processes 20, v. 20, p. 127-144, https://doi.org/10.1016/B978-0-444-63590-7.00007-X.","productDescription":"18 p.","startPage":"127","endPage":"144","ipdsId":"IP-070407","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Nevada, Utah","otherGeospatial":"Lake Bonneville","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.141667,\n 42.041667\n ],\n [\n -111,\n 42.041667\n ],\n [\n -111,\n 37\n ],\n [\n -114.141667,\n 37\n ],\n [\n -114.141667,\n 42.041667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea7e4b062508e3c7a73","contributors":{"authors":[{"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":700825,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70174570,"text":"70174570 - 2016 - Can you hear me now? Range-testing a submerged passive acoustic receiver array in a Caribbean coral reef habitat","interactions":[],"lastModifiedDate":"2016-07-28T10:26:07","indexId":"70174570","displayToPublicDate":"2016-07-13T17:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Can you hear me now? Range-testing a submerged passive acoustic receiver array in a Caribbean coral reef habitat","docAbstract":"Submerged passive acoustic technology allows researchers to investigate spatial and temporal movement patterns of many marine and freshwater species. The technology uses receivers to detect and record acoustic transmissions emitted from tags attached to an individual. Acoustic signal strength naturally attenuates over distance, but numerous environmental variables also affect the probability a tag is detected. Knowledge of receiver range is crucial for designing acoustic arrays and analyzing telemetry data. Here, we present a method for testing a relatively large-scale receiver array in a dynamic Caribbean coastal environment intended for long-term monitoring of multiple species. The U.S. Geological Survey and several academic institutions in collaboration with resource management at Buck Island Reef National Monument (BIRNM), off the coast of St. Croix, recently deployed a 52 passive acoustic receiver array. We targeted 19 array-representative receivers for range-testing by submersing fixed delay interval range-testing tags at various distance intervals in each cardinal direction from a receiver for a minimum of an hour. Using a generalized linear mixed model (GLMM), we estimated the probability of detection across the array and assessed the effect of water depth, habitat, wind, temperature, and time of day on the probability of detection. The predicted probability of detection across the entire array at 100 m distance from a receiver was 58.2% (95% CI: 44.0–73.0%) and dropped to 26.0% (95% CI: 11.4–39.3%) 200 m from a receiver indicating a somewhat constrained effective detection range. Detection probability varied across habitat classes with the greatest effective detection range occurring in homogenous sand substrate and the smallest in high rugosity reef. Predicted probability of detection across BIRNM highlights potential gaps in coverage using the current array as well as limitations of passive acoustic technology within a complex coral reef environment.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2228","usgsCitation":"Selby, T.H., Hart, K.M., Fujisaki, I., Smith, B.J., Pollock, C.J., Hillis-Star, Z.M., Lundgren, I., and Oli, M.K., 2016, Can you hear me now? Range-testing a submerged passive acoustic receiver array in a Caribbean coral reef habitat: Ecology and Evolution, v. 6, no. 14, p. 4823-4835, https://doi.org/10.1002/ece3.2228.","productDescription":"13 p.","startPage":"4823","endPage":"4835","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070624","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470751,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2228","text":"Publisher Index Page"},{"id":325231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Buck Island Reef National Monument","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -64.65763092041016,\n 17.771573896194067\n ],\n [\n -64.65763092041016,\n 17.833027985030018\n ],\n [\n -64.57592010498047,\n 17.833027985030018\n ],\n [\n -64.57592010498047,\n 17.771573896194067\n ],\n [\n -64.65763092041016,\n 17.771573896194067\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"14","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-17","publicationStatus":"PW","scienceBaseUri":"57875827e4b0d27deb364f54","contributors":{"authors":[{"text":"Selby, Thomas H. 0000-0003-2116-0807 tselby@usgs.gov","orcid":"https://orcid.org/0000-0003-2116-0807","contributorId":5685,"corporation":false,"usgs":true,"family":"Selby","given":"Thomas","email":"tselby@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":642332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":642331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fujisaki, Ikuko","contributorId":38359,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":642333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Brian J. 0000-0002-0531-0492 bjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":899,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","email":"bjsmith@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":642334,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pollock, Clayton J","contributorId":172870,"corporation":false,"usgs":false,"family":"Pollock","given":"Clayton","email":"","middleInitial":"J","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":642335,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hillis-Star, Zandy M","contributorId":106418,"corporation":false,"usgs":true,"family":"Hillis-Star","given":"Zandy","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":642336,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lundgren, Ian","contributorId":29727,"corporation":false,"usgs":true,"family":"Lundgren","given":"Ian","affiliations":[],"preferred":false,"id":642337,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oli, Madan K.","contributorId":86089,"corporation":false,"usgs":true,"family":"Oli","given":"Madan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":642338,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70174032,"text":"fs20163041 - 2016 - The Water-Quality Partnership for National Parks—U.S. Geological Survey and National Park Service, 1998–2016","interactions":[],"lastModifiedDate":"2017-06-30T10:16:15","indexId":"fs20163041","displayToPublicDate":"2016-07-13T16:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3041","title":"The Water-Quality Partnership for National Parks—U.S. Geological Survey and National Park Service, 1998–2016","docAbstract":"The U.S. Geological Survey (USGS) and the National Park Service (NPS) work together through the USGS–NPS Water-Quality Partnership to support a broad range of policy and management needs related to high-priority water-quality issues in national parks. The program was initiated in 1998 as part of the Clean Water Action Plan, a Presidential initiative to commemorate the 25th anniversary of the Clean Water Act. Partnership projects are developed jointly by the USGS and the NPS. Studies are conducted by the USGS and findings are used by the NPS to guide policy and management actions aimed at protecting and improving water quality.
The National Park Service manages many of our Nation’s most highly valued aquatic systems across the country, including portions of the Great Lakes, ocean and coastal zones, historic canals, reservoirs, large rivers, high-elevation lakes and streams, geysers, springs, and wetlands. So far, the Water-Quality Partnership has undertaken 217 projects in 119 national parks. In each project, USGS studies and assessments (http://water.usgs.gov/nps_partnership/pubs.php) have supported science-based management by the NPS to protect and improve water quality in parks. Some of the current projects are highlighted in the NPS Call to Action Centennial initiative, Crystal Clear, which celebrates national park water-resource efforts to ensure clean water for the next century of park management (http://www.nature.nps.gov/water/crystalclear/).
New projects are proposed each year by USGS scientists working in collaboration with NPS staff in specific parks. Project selection is highly competitive, with an average of only eight new projects funded each year out of approximately 75 proposals that are submitted. Since the beginning of the Partnership in 1998, 189 publications detailing project findings have been completed. The 217 studies have been conducted in 119 NPS-administered lands, extending from Denali National Park and Preserve in Alaska to Everglades National Park in Florida, and from Acadia National Park in the Northeast to park lands in Hawaii and Pacific Island territories in the West. Project goals range from periodic stream monitoring, to determining the occurrence and concentrations of contaminants and the potential for them to exceed human health or aquatic life criteria, to conducting interpretive studies to evaluate the effect(s) on or vulnerability of national park resources to visitor usage and other natural and anthropogenic activities.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163041","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Nilles, M.A., Penoyer, P.E., Ludtke, A.S., and Ellsworth, A.C., 2016, The Water-Quality Partnership for national parks—U.S. Geological Survey and National Park Service, 1998–2016: U.S. Geological Survey Fact Sheet 2016–3041, 6 p., https://dx.doi.org/10.3133/fs20163041.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-073494","costCenters":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"links":[{"id":324980,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3041/coverthb1.jpg"},{"id":324981,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3041/fs20163041.pdf","text":"Report","size":"7.81 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U.S. Geological Survey
413 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
https://www.usgs.gov/science/mission-areas/water/national-water-quality-program
Potential health effects from hexavalent chromium in groundwater have recently become a concern to regulators at the Tucson International Airport Area Superfund site. In 2016, the U.S. Geological Survey sampled 46 wells in the area to characterize the nature and extent of chromium in groundwater, to understand what proportion of total chromium is in the hexavalent state, and to determine if substantial differences are present between filtered and unfiltered chromium concentrations. Results indicate detectable chromium concentrations in all wells, over 75 % of total chromium is in the hexavalent state in a majority of wells, and filtered and unfiltered results differ substantially in only a few high-turbidity total chromium samples.
","language":"English","publisher":"Springer International Publishing","doi":"10.1007/s00128-016-1882-8","usgsCitation":"Tillman, F.D., McCleskey, R.B., and Hermosillo, E., 2016, Investigation of total and hexavalent chromium in filtered and unfiltered groundwater samples at the Tucson International Airport Superfund Site: Bulletin of Environmental Contamination and Toxicology, v. 97, no. 4, p. 543-547, https://doi.org/10.1007/s00128-016-1882-8.","productDescription":"5 p.","startPage":"543","endPage":"547","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074595","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":329757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","county":"Tuscon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.99504470825195,\n 32.10017181309975\n ],\n [\n -110.99504470825195,\n 32.17081753127332\n ],\n [\n -110.93358993530272,\n 32.17081753127332\n ],\n [\n -110.93358993530272,\n 32.10017181309975\n ],\n [\n -110.99504470825195,\n 32.10017181309975\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"97","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-13","publicationStatus":"PW","scienceBaseUri":"58088688e4b0f497e78e24cf","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":147809,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred","email":"ftillman@usgs.gov","middleInitial":"D.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":651199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hermosillo, Edyth 0000-0003-1648-1016 ehermosillo@usgs.gov","orcid":"https://orcid.org/0000-0003-1648-1016","contributorId":175455,"corporation":false,"usgs":true,"family":"Hermosillo","given":"Edyth","email":"ehermosillo@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651200,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174231,"text":"70174231 - 2016 - Screening for contaminants of emerging concern in Northern Colorado Plateau Network waters: 2015 surface-water data","interactions":[],"lastModifiedDate":"2016-07-13T10:17:13","indexId":"70174231","displayToPublicDate":"2016-07-13T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2016-1239","title":"Screening for contaminants of emerging concern in Northern Colorado Plateau Network waters: 2015 surface-water data","docAbstract":"In 2015, as part of an on-going screening program for contaminants of emerging concern (CECs) in conjunction with the Environmental Protection Agency (EPA) Region 8, surface waters at 18 locations in or near seven national park units within the Northern Colorado Plateau Network (NCPN) were sampled for pesticides and pesticide degradation products, pharmaceuticals and personal care products, hormones, organic-wastewater-indictor chemicals, and nutrients. Most sites were sampled in spring (May or June) and fall (September).
\nThe Colorado River at the Potash boat ramp site, just upstream of Canyonlands National Park, continued to show chronic contamination by caffeine, the pesticide 2,4-D, and prescription drugs (gabapentin, lamotrigine, metformin, and sulfamethoxazole). Samples at the Moab wastewater treatment plant effluent outflow pipe showed a high number and concentration of contaminants entering the river about 14 miles upstream of the long-term sampling location and are the nearest point source for contaminants of emerging concern. Samples from 400 m downstream of the effluent pipe in the Colorado River had decreased numbers and concentrations of contaminants, indicating relatively quick dilution by the river. However, some contaminants persisted at the long-term sampling site downstream.
\nPatterns of detections at other sampling locations will be explored in future reports. This is an interim report. Limited sampling will continue in 2016 at selected sites in coordination with the USGS. A final report is expected upon completion of the USGS project in 2017.
","language":"English","publisher":"US National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Weissinger, R., Battaglin, W.A., and Bradley, P.M., 2016, Screening for contaminants of emerging concern in Northern Colorado Plateau Network waters: 2015 surface-water data: Natural Resource Report 2016-1239, xi, 41 p.","productDescription":"xi, 41 p.","numberOfPages":"58","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-076062","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":325169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324700,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/DownloadFile/551578"}],"country":"United States","state":"Arizona, Colorado, Idaho, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.3349609375,\n 36.50963615733049\n ],\n [\n -114.356689453125,\n 39.74943369178247\n ],\n [\n -113.851318359375,\n 40.75557964275591\n ],\n [\n -112.950439453125,\n 42.032974332441405\n ],\n [\n -111.95068359374999,\n 42.779275360241904\n ],\n [\n -111.07177734375,\n 42.67435857693384\n ],\n [\n -109.4073486328125,\n 43.15710884095329\n ],\n [\n -105.09521484375,\n 38.013476231041935\n ],\n [\n -109.061279296875,\n 36.98500309285596\n ],\n [\n -110.55541992187499,\n 38.12159327165922\n ],\n [\n -113.3349609375,\n 36.50963615733049\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57875828e4b0d27deb364f60","contributors":{"authors":[{"text":"Weissinger, R","contributorId":172623,"corporation":false,"usgs":false,"family":"Weissinger","given":"R","email":"","affiliations":[{"id":20307,"text":"US National Park Service","active":true,"usgs":false}],"preferred":false,"id":641453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":641454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":641452,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188890,"text":"70188890 - 2016 - Aeromagnetic map of northwest Utah and adjacent parts of Nevada and Idaho","interactions":[],"lastModifiedDate":"2025-02-25T15:22:21.086949","indexId":"70188890","displayToPublicDate":"2016-07-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5437,"text":"Utah Geological Survey Miscellaneous Publication","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"16-4","title":"Aeromagnetic map of northwest Utah and adjacent parts of Nevada and Idaho","docAbstract":"Two aeromagnetic surveys were flown to promote further understanding of the geology and structure in northwest Utah and adjacent parts of Nevada and Idaho by serving as a basis for geophysical interpretations and by supporting geological mapping, water and mineral resource investigations, and other topical studies. Although this area is in general sparsely populated, (except for cities and towns along the Wasatch Front such as Ogden and Brigham City), it encompasses metamorphic core complexes in the Grouse Creek and Raft River Mountains (figure 1) of interest to earth scientists studying Cenozoic extension. The region was shaken in 1909 and 1934 by M6+ earthquakes east of the Hansel Mountains (Doser, 1989; Arabasz and others, 1994); damage from the 1934 earthquake occurred as far east as Logan, Utah (http:// www.seis.utah.edu/lqthreat/nehrp_htm/1934hans/n1934ha1. shtml#urbse). The presence of Quaternary shield volcanoes and bimodal Pleistocene volcanism in Curlew Valley (Miller and others, 1995; Felger and others, 2016) as well as relatively high temperature gradients encountered in the Indian Cove drillhole in the north arm of Great Salt Lake (Blackett and others, 2014) may indicate some potential for geothermal energy development in the area (Miller and others, 1995). The area also hosts four significant mining districts, in the northern Pilot Range, the Goose Creek Mountains in the northwest corner of the map, the southern end of the Promontory Mountains, and the southwest part of the Raft River Mountains, although production notably waned after World War II (Doelling, 1980). Other prospects of interest include those in the southern Grouse Creek Mountains, Silver Island, and the northern Newfoundland Mountains.
Large areas of northwest Utah are covered by young, surficial deposits or by Great Salt Lake or are down-dropped into deep Cenozoic basins, making extrapolation of bedrock geology from widely spaced exposures difficult or tenuous (figure 1). Local spatial variations in the Earth's magnetic field (evident as anomalies on aeromagnetic maps) reflect the distribution of magnetic minerals, primarily magnetite, in the underlying rocks. In many cases the volume content of magnetic minerals can be related to rock type, and abrupt spatial changes in the amount of magnetic minerals commonly mark lithologic or structural boundaries. Magnetic data reflect magnetization variations within the crust and are well suited for mapping the distribution of mafic igneous rocks, although felsic igneous rocks, some mineralized zones, and other rock types also can produce measurable magnetic anomalies. For these reasons, the U.S. Geological Survey (USGS) and Utah Geological Survey (UGS) contracted for the collection of aeromagnetic data in this area.
","language":"English","publisher":"Utah Geological Survey","publisherLocation":"Salt Lake City, UT","doi":"10.34191/MP-16-4","isbn":"978-1-55791-931-1","collaboration":"Prepared in cooperation with U.S. Department of the Interior, U.S. Geological Survey","usgsCitation":"Langenheim, V., 2016, Aeromagnetic map of northwest Utah and adjacent parts of Nevada and Idaho: Utah Geological Survey Miscellaneous Publication 16-4, 13 p., https://doi.org/10.34191/MP-16-4.","productDescription":"13 p.","ipdsId":"IP-073411","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342956,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Nevada, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.141667,\n 42.041667\n ],\n [\n -111.916667,\n 42.041667\n ],\n [\n -111.916667,\n 40.858333\n ],\n [\n -114.141667,\n 40.858333\n ],\n [\n -114.141667,\n 42.041667\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea7e4b062508e3c7a75","contributors":{"authors":[{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700845,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70174484,"text":"70174484 - 2016 - Contrasting nitrogen fate in watersheds using agricultural and water quality information","interactions":[],"lastModifiedDate":"2016-09-16T16:40:56","indexId":"70174484","displayToPublicDate":"2016-07-12T16:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Contrasting nitrogen fate in watersheds using agricultural and water quality information","docAbstract":"Surplus nitrogen (N) estimates, principal component analysis (PCA), and end-member mixing analysis (EMMA) were used in a multisite comparison contrasting the fate of N in diverse agricultural watersheds. We applied PCA-EMMA in 10 watersheds located in Indiana, Iowa, Maryland, Nebraska, Mississippi, and Washington ranging in size from 5 to 1254 km2 with four nested watersheds. Watershed Surplus N was determined by subtracting estimates of crop uptake and volatilization from estimates of N input from atmospheric deposition, plant fixation, fertilizer, and manure for the period from 1987 to 2004. Watershed average Surplus N ranged from 11 to 52 kg N ha−1 and from 9 to 32% of N input. Solute concentrations in streams, overland runoff, tile drainage, groundwater (GW), streambeds, and the unsaturated zone were used in the PCA-EMMA procedure to identify independent components contributing to observed stream concentration variability and the end-members contributing to streamflow and NO3 load. End-members included dilute runoff, agricultural runoff, benthic-processing, tile drainage, and oxic and anoxic GW. Surplus N was larger in watersheds with more permeable soils (Washington, Nebraska, and Maryland) that allowed greater infiltration, and oxic GW was the primary source of NO3 load. Subsurface transport of NO3 in these watersheds resulted in some removal of Surplus N by denitrification. In less permeable watersheds (Iowa, Indiana, and Mississippi), NO3 was rapidly transported to the stream by tile drainage and runoff with little removal. Evidence of streambed removal of NO3 by benthic diatoms was observed in the larger watersheds.
","language":"English","publisher":"Alliance of Crop, Soil, and Environmental Science Societies","doi":"10.2134/jeq2016.02.0071","usgsCitation":"Essaid, H.I., Baker, N.T., and McCarthy, K.A., 2016, Contrasting nitrogen fate in watersheds using agricultural and water quality information: Journal of Environmental Quality, v. 45, no. 5, p. 1616-1626, https://doi.org/10.2134/jeq2016.02.0071.","productDescription":"11 p.","startPage":"1616","endPage":"1626","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073514","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":325123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana, Iowa, Maryland, Nebraska, Mississippi, Washington","volume":"45","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57934443e4b0eb1ce79e8be2","contributors":{"authors":[{"text":"Essaid, Hedeff I. 0000-0003-0154-8628 hiessaid@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":2284,"corporation":false,"usgs":true,"family":"Essaid","given":"Hedeff","email":"hiessaid@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":642225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Nancy T. 0000-0002-7979-5744 ntbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":1955,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"ntbaker@usgs.gov","middleInitial":"T.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCarthy, Kathleen A. mccarthy@usgs.gov","contributorId":1159,"corporation":false,"usgs":true,"family":"McCarthy","given":"Kathleen","email":"mccarthy@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":642227,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70175024,"text":"70175024 - 2016 - Spatial variation in biofouling of a unionid mussel (Lampsilis siliquoidea) across the western basin of Lake Erie","interactions":[],"lastModifiedDate":"2016-07-27T08:58:20","indexId":"70175024","displayToPublicDate":"2016-07-12T13:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5153,"text":"The American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Spatial variation in biofouling of a unionid mussel (Lampsilis siliquoidea) across the western basin of Lake Erie","docAbstract":"Invasion of North American waters by nonnative Dreissena polymorpha and D. rostriformis bugensishas resulted in declines of the Unionidae family of native North American mussels. Dreissenid mussels biofoul unionid mussels in large numbers and interfere with unionid movement, their acquisition of food, and the native mussels' ability to open and close their shells. Initial expectations for the Great Lakes included extirpation of unionids where they co-occurred with dreissenids, but recently adult and juvenile unionids have been found alive in several apparent refugia. These unionid populations may persist due to reduced dreissenid biofouling in these areas, and/or due to processes that remove biofoulers. For example locations inaccessible to dreissenid veligers may reduce biofouling and habitats with soft substrates may allow unionids to burrow and thus remove dreissenids. We deployed caged unionid mussels (Lampsilis siliquoidea) at 36 sites across the western basin of Lake Erie to assess spatial variation in biofouling and to identify other areas that might promote the persistence or recovery of native unionid mussels. Biofouling ranged from 0.03 – 26.33 g per mussel, reached a maximum in the immediate vicinity of the mouth of the Maumee River, and appeared to primarily consist of dreissenid mussels. A known mussel refugium in the vicinity of a power plant near the mouth of the Maumee actually exhibited very high biofouling rates, suggesting that low dreissenid colonization did not adequately explain unionid survival in this refugium. In contrast, the southern nearshore area of Lake Erie, near another refugium, had very low biofouling. A large stretch of the western basin appeared to have low biofouling rates and muddy substrates, raising the possibility that these open water areas could support remnant and returning populations of unionid mussels. Previous observations of unionid refugia and the occurrence of low biofouling rates in large areas of the western basin of Lake Erie raise the possibility that unionid and dreissenid coexistence may be possible here and elsewhere.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-176.1.119","usgsCitation":"Larson, J.H., Evans, M.A., Richardson, W.B., Schaeffer, J., and Nelson, J.C., 2016, Spatial variation in biofouling of a unionid mussel (Lampsilis siliquoidea) across the western basin of Lake Erie: The American Midland Naturalist, v. 176, no. 1, p. 119-129, https://doi.org/10.1674/0003-0031-176.1.119.","productDescription":"10 p.","startPage":"119","endPage":"129","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060964","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":325687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Ohio","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.40682983398438,\n 41.83887416186901\n ],\n [\n -83.45970153808594,\n 41.80561366138045\n ],\n [\n -83.507080078125,\n 41.74723814279774\n ],\n [\n -83.53042602539062,\n 41.691886013236356\n ],\n [\n -83.47274780273438,\n 41.65649719441145\n ],\n [\n -83.35189819335938,\n 41.63751256767834\n ],\n [\n -83.29147338867188,\n 41.60568795028221\n ],\n [\n -83.22143554687499,\n 41.60055347660231\n ],\n [\n -83.15483093261719,\n 41.58360681482731\n ],\n [\n -83.11363220214844,\n 41.632893839650656\n ],\n [\n -83.10539245605469,\n 41.707266387090684\n ],\n [\n -83.09234619140625,\n 41.73801609883667\n ],\n [\n -83.10951232910156,\n 41.76516610331408\n ],\n [\n -83.18092346191406,\n 41.795888098191426\n ],\n [\n -83.25302124023436,\n 41.81175536180908\n ],\n [\n -83.30314636230469,\n 41.812778921301515\n ],\n [\n -83.40682983398438,\n 41.83887416186901\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"176","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5799db77e4b0589fa1c7eb0b","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":643634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":643635,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":643636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaeffer, Jeff 0000-0003-3430-0872 jschaeffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3430-0872","contributorId":2041,"corporation":false,"usgs":true,"family":"Schaeffer","given":"Jeff","email":"jschaeffer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":643637,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, John C. 0000-0002-7105-0107 jcnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-7105-0107","contributorId":149361,"corporation":false,"usgs":true,"family":"Nelson","given":"John","email":"jcnelson@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":643638,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70174025,"text":"sir20165092 - 2016 - Potential corrosivity of untreated groundwater in the United States","interactions":[],"lastModifiedDate":"2016-08-08T09:07:37","indexId":"sir20165092","displayToPublicDate":"2016-07-12T12:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5092","title":"Potential corrosivity of untreated groundwater in the United States","docAbstract":"Corrosive groundwater, if untreated, can dissolve lead and other metals from pipes and other components in water distribution systems. Two indicators of potential corrosivity—the Langelier Saturation Index (LSI) and the Potential to Promote Galvanic Corrosion (PPGC)—were used to identify which areas in the United States might be more susceptible to elevated concentrations of metals in household drinking water and which areas might be less susceptible. On the basis of the LSI, about one-third of the samples collected from about 21,000 groundwater sites are classified as potentially corrosive. On the basis of the PPGC, about two-thirds of the samples collected from about 27,000 groundwater sites are classified as moderate PPGC, and about one-tenth as high PPGC. Potentially corrosive groundwater occurs in all 50 states and the District of Columbia.
National maps have been prepared to identify the occurrence of potentially corrosive groundwater in the 50 states and the District of Columbia. Eleven states and the District of Columbia were classified as having a very high prevalence of potentially corrosive groundwater, 14 states as having a high prevalence of potentially corrosive groundwater, 19 states as having a moderate prevalence of potentially corrosive groundwater, and 6 states as having a low prevalence of potentially corrosive groundwater. These findings have the greatest implication for people dependent on untreated groundwater for drinking water, such as the 44 million people that are self-supplied and depend on domestic wells or springs for their water supply.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165092","usgsCitation":"Belitz, Kenneth, Jurgens, B.C., and Johnson, T.D., 2016, Potential corrosivity of untreated groundwater in the United States: U.S. Geological Survey Scientific Investigations Report 2016–5092, 16 p., https://dx.doi.org/10.3133/sir20165092. ","productDescription":"Report: iv, 16 p.; Data Releases","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-075330","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":438592,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MC8X40","text":"USGS data release","linkHelpText":"Classification of Chloride-to-Sulfate Mass Ratio for U.S. Groundwater With Respect to the Potential to Promote Galvanic Corrosion of Lead, 1991-2015; Water Well Data and Characteristic Values for States"},{"id":438591,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7XW4GWX","text":"USGS data release","linkHelpText":"Langelier Saturation Indices Computed for U.S. Groundwater, 1991-2015; Water Well Data and Characteristic Values for States"},{"id":324831,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7MC8X40","text":"USGS 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States\"}}]}","publicComments":"National Water Quality Program\nNational Water-Quality Assessment Project","contact":"Chief Scientist, National Water-Quality Assessment (NAWQA) Project
U.S. Geological Survey
Denver Federal Center
West 6th Avenue and Kipling Street
Lakewood, CO 80225
http://water.usgs.gov/nawqa/
Phosphorus data were collected from the Kent Park Lake watershed in Johnson County, Iowa, in 2014 and 2015 to obtain information to assist in the management of the water quality in the lake. Phosphorus concentrations were measured for sediment from several ponds in the watershed and sediment deposited in the lake. The first set of samples was collected in 2014 to understand phosphorus in several potential sources to the lake and the spatial variability in lake sediments. Phosphorus concentrations ranged from 68 to 380 milligrams per kilogram in lake sediment and from 57 to 220 milligrams per kilogram in sedimentation and dredge spoil ponds. Additional samples were collected in 2015 to determine how phosphorus concentrations vary with depth in the lake sediment. Phosphorus concentrations generally decreased with increasing depth within the lake sediment. In 2015, total phosphorus concentrations in lake sediment ranged from 50 to 340 milligrams per kilogram.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1001","collaboration":"Prepared in cooperation with the Johnson County Conservation Board","usgsCitation":"Kalkhoff, S.J., 2016, Phosphorus in sediment in the Kent Park Lake watershed, Johnson County, Iowa, 2014–15: U.S. Geological Survey Data Series 1001, 18 p., https://dx.doi.org/10.3133/ds1001.","productDescription":"vi, 18 p.","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2014-01-01","ipdsId":"IP-071552","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":325076,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1001/coverthb.jpg"},{"id":325077,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1001/ds1001.pdf","text":"Report","size":"2.82 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Data Series 1001"}],"country":"United States","state":"Iowa","county":"Johnson County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.3677,41.8603],[-91.3673,41.7745],[-91.3675,41.6855],[-91.3671,41.5987],[-91.3679,41.5107],[-91.3687,41.4235],[-91.4839,41.4222],[-91.4843,41.4286],[-91.492,41.4405],[-91.5033,41.4493],[-91.5026,41.452],[-91.4989,41.4538],[-91.4988,41.4592],[-91.5145,41.4676],[-91.5156,41.4704],[-91.5136,41.4767],[-91.5038,41.4779],[-91.5029,41.4874],[-91.5039,41.4933],[-91.5076,41.4939],[-91.5107,41.4944],[-91.5112,41.4971],[-91.508,41.5016],[-91.5098,41.5034],[-91.5117,41.5016],[-91.5148,41.4985],[-91.5197,41.4981],[-91.5196,41.5027],[-91.5281,41.5078],[-91.528,41.511],[-91.5991,41.5107],[-91.7138,41.511],[-91.8291,41.5116],[-91.827,41.6001],[-91.8337,41.6006],[-91.8335,41.6865],[-91.8327,41.775],[-91.8318,41.8617],[-91.716,41.862],[-91.5989,41.8612],[-91.4836,41.8608],[-91.3677,41.8603]]]},\"properties\":{\"name\":\"Johnson\",\"state\":\"IA\"}}]}","contact":"Director, Iowa Water Science Center
U.S. Geological Survey
P.O. Box 1230
Iowa City, IA 52244
The Hells Canyon Complex (HCC) is a hydroelectric project built and operated by the Idaho Power Company (IPC) that consists of three dams on the Snake River along the Oregon and Idaho border (fig. 1). The dams have resulted in the creation of Brownlee, Oxbow, and Hells Canyon Reservoirs, which have a combined storage capacity of more than 1.5 million acre-feet and span about 90 miles of the Snake River. The Snake River upstream of and through the HCC historically has been impaired by water-quality issues related to excessive contributions of nutrients, algae, sediment, and other pollutants. In addition, historical data collected since the 1960s from the Snake River and tributaries near the HCC have documented high concentrations of mercury in fish tissue and sediment (Harris and Beals, 2013). Data collected from more recent investigations within the HCC continue to indicate elevated concentrations of mercury and methylmercury in the water column, bottom sediments, and biota (Clark and Maret, 1998; Essig, 2010; Fosness and others, 2013). As a result, Brownlee and Hells Canyon Reservoirs are listed as impaired for mercury by the State of Idaho, and the Snake River from the Oregon and Idaho border through the HCC downstream to the Oregon and Washington border is listed as impaired for mercury by the State of Oregon.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163051","usgsCitation":"Clark, G.M., Naymik, Jesse, Krabbenhoft, D.P., Eagles-Smith, C.A., Aiken, G.R., Marvin-DiPasquale, M.C., Harris, R.C., and Myers, Ralph, 2016, Mercury cycling in the Hells Canyon Complex of the Snake River, Idaho and Oregon: U.S. Geological Survey Fact Sheet 2016-3051, 6 p., https://dx.doi.org/10.3133/fs20163051.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-072163","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":325057,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3051/fs20163051.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3051 Fact Sheet PDF"},{"id":325056,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3051/coverthb.jpg"}],"country":"United States","state":"Idaho, Oregon","otherGeospatial":"Brownlee Dam, Hells Canyon Dam, Oxbow Dam, Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118,\n 43.5\n ],\n [\n -118,\n 46.4\n ],\n [\n -116,\n 46.4\n ],\n [\n -116,\n 43.5\n ],\n [\n -118,\n 43.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center,
U.S. Geological Survey
230 Collins Road, Boise, Idaho 83702
http://id.water.usgs.gov/
Suspended-sediment characteristics can be computed using acoustic indices derived from acoustic Doppler velocity meter (ADVM) backscatter data. The sediment acoustic index method applied in these types of studies can be used to more accurately and cost-effectively provide time-series estimates of suspended-sediment concentration and load, which is essential for informed solutions to many sediment-related environmental, engineering, and agricultural concerns. Advantages of this approach over other sediment surrogate methods include: (1) better representation of cross-sectional conditions from large measurement volumes, compared to other surrogate instruments that measure data at a single point; (2) high temporal resolution of collected data; (3) data integrity when biofouling is present; and (4) less rating curve hysteresis compared to streamflow as a surrogate. An additional advantage of this technique is the potential expansion of monitoring suspended-sediment concentrations at sites with existing ADVMs used in streamflow velocity monitoring. This report provides much-needed standard techniques for sediment acoustic index methods to help ensure accurate and comparable documented results.
\nA sediment acoustic index gage is used to collect continuous acoustic backscatter data, using an ADVM deployed in a fixed location, which are related to results from discrete suspended-sediment samples. The raw ADVM backscatter data are adjusted for variables affecting backscatter other than the sediment concentration to compute the sediment-corrected backscatter (SCB) and sediment attenuation coefficient (SAC). The sediment acoustic index rating (rating) is then developed by relating the sediment characteristics from the periodic samples to the SCB and (or) SAC and other explanatory variables in a site-specific, instrument-specific, simple or multiple linear regression model. The rating is reviewed and checked to ensure the technique has been applied appropriately. This review includes an assessment of the theoretical soundness, the adequacy of the model calibration dataset, and the quality of the regression model and regression diagnostics. The rating can then be applied to the acoustic surrogates and other explanatory variables to obtain continuous records of computed suspended-sediment concentration. The estimates of suspended-sediment concentration can then be paired with streamflow data, if available, to compute continuous records of suspended-sediment load.
\nOnce developed, sediment acoustic index ratings must be validated with additional suspended-sediment samples, beyond the period of record used in the rating development, to verify that the regression model continues to adequately represent sediment conditions within the stream. Changes in ADVM configuration or installation, or replacement with another ADVM, may require development of a new rating. The best practices described in this report can be used to develop continuous estimates of suspended-sediment concentration and load using sediment acoustic surrogates to enable more informed and accurate responses to diverse sedimentation issues.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section C: Sediment and erosion techniques in Book 3: Applications of Hydraulics","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm3C5","usgsCitation":"Landers, M.N., Straub, T.D., Wood, M.S., and Domanski, M.M., 2016, Sediment acoustic index method for computing continuous suspended-sediment concentrations: U.S. Geological Survey Techniques and Methods, book 3, chap. C5, 63 p., https://dx.doi.org/10.3133/tm3C5.","productDescription":"vii, 63 p.","endPage":"83","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062080","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":324847,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/03/c05/coverthb.jpg"},{"id":324848,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/03/c05/tm3c5.pdf","text":"Report","size":"9.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 3C-05"}],"publicComments":"This report is Chapter 5 of Section C: Sediment and erosion techniques in Book 3: Applications of Hydraulics.","contact":"Chief, Office of Surface Water
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Or visit the Office of Surface Water Web site at: http://water.usgs.gov/osw/
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