{"pageNumber":"413","pageRowStart":"10300","pageSize":"25","recordCount":68873,"records":[{"id":70178977,"text":"tm1D6 - 2016 - Continuous-flow centrifugation to collect suspended sediment for chemical analysis","interactions":[],"lastModifiedDate":"2017-01-04T14:42:01","indexId":"tm1D6","displayToPublicDate":"2016-12-22T19:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1-D6","title":"Continuous-flow centrifugation to collect suspended sediment for chemical analysis","docAbstract":"<p>Recent advances in suspended-sediment monitoring tools and surrogate technologies have greatly improved the ability to quantify suspended-sediment concentrations and to estimate daily, seasonal, and annual suspended-sediment fluxes from rivers to coastal waters. However, little is known about the chemical composition of suspended sediment, and how it may vary spatially between water bodies and temporally within a single system owing to climate, seasonality, land use, and other natural and anthropogenic drivers. Many water-quality contaminants, such as organic and inorganic chemicals, nutrients, and pathogens, preferentially partition in sediment rather than water. Suspended sediment-bound chemical concentrations may be undetected during analysis of unfiltered water samples, owing to small water sample volumes and analytical limitations. Quantification of suspended sediment‑bound chemical concentrations is needed to improve estimates of total chemical concentrations, chemical fluxes, and exposure levels of aquatic organisms and humans in receiving environments. Despite these needs, few studies or monitoring programs measure the chemical composition of suspended sediment, largely owing to the difficulty in consistently obtaining samples of sufficient quality and quantity for laboratory analysis.<br></p><p>A field protocol is described here utilizing continuous‑flow centrifugation for the collection of suspended sediment for chemical analysis. The centrifuge used for development of this method is small, lightweight, and portable for the field applications described in this protocol. Project scoping considerations, deployment of equipment and system layout options, and results from various field and laboratory quality control experiments are described. The testing confirmed the applicability of the protocol for the determination of many inorganic and organic chemicals sorbed on suspended sediment, including metals, pesticides, polycyclic aromatic hydrocarbons, and polychlorinated biphenyls. The particle-size distribution of the captured sediment changes to a more fine-grained sample during centrifugation, and the necessity to account for this change when extrapolating chemical concentrations on the centrifuged sediment sample to the environmental water system is discussed.</p><p>The data produced using this method will help eliminate a data gap of suspended sediment-bound chemical concentrations, and will support management decisions, such as chemical source-control efforts or in-stream restoration activities. When coupled with streamflow and sediment flux data, it will improve estimates of riverine chemical fluxes, and will aid in assessing the importance and impacts of suspended sediment-bound chemicals to downstream freshwater and coastal marine ecosystems.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section D: Water quality in Book 1: <i>Collection of water data by direct measurement</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm1D6","collaboration":"Prepared in cooperation with the National Water Quality Monitoring Council and Washington State Department of Ecology","usgsCitation":"Conn, K.E., Dinicola, R.S., Black, R.W., Cox, S.E., Sheibley, R.W., Foreman, J.R., Senter, C.A., and Peterson, N.T., 2016, Continuous-flow centrifugation to collect suspended sediment for chemical analysis: U.S. Geological Survey Techniques and Methods, book 1, chap. D6, 31 p., plus appendixes, https://doi.org/10.3133/tm1D6.","productDescription":"Report: viii, 31 p.; Appendixes: A-E","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-079905","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":332505,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/01/d6/tm1d6_appendixb.pdf","text":"Appendix B","size":"100 KB","linkFileType":{"id":1,"text":"pdf"},"description":"TM1-D6 Appendix B"},{"id":332503,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/01/d6/tm1d6.pdf","text":"Report","size":"2.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM1-D6 Report PDF"},{"id":332504,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/01/d6/tm1d6_appendixa.xlsx","text":"Appendix A","size":"102 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"TM1-D6 Appendix A"},{"id":332506,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/01/d6/tm1d6_appendixc.pdf","text":"Appendix C","size":"142 KB","linkFileType":{"id":1,"text":"pdf"},"description":"TM1-D6 Appendix C"},{"id":332507,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/01/d6/tm1d6_appendixd.pdf","text":"Appendix D","size":"145 KB","linkFileType":{"id":1,"text":"pdf"},"description":"TM1-D6 Appendix D"},{"id":332508,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/01/d6/tm1d6_appendixe.pdf","text":"Appendix E","size":"930 KB","linkFileType":{"id":1,"text":"pdf"},"description":"TM1-D6 Appendix E"},{"id":332502,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/01/d6/coverthb.jpg"}],"publicComments":"This report is Chapter 6 of Section D: Water quality in Book 1: <i>Collection of water data by direct measurement</i>.","contact":"<p>Director, Washington Water Science Center<br>U.S. Geological Survey<br>934 Broadway, Suite 300<br>Tacoma, Washington 98402<br><a href=\"http://wa.water.usgs.gov\" data-mce-href=\"http://wa.water.usgs.gov\">http://wa.water.usgs.gov</a><br></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Description of Continuous-Flow Centrifugation Method<br></li><li>Quality Control Testing of Continuous-Flow Centrifugation Methods<br></li><li>Results from Field Testing the Continuous-Flow Centrifugation Methods<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendixes<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-12-22","noUsgsAuthors":false,"publicationDate":"2016-12-22","publicationStatus":"PW","scienceBaseUri":"585cf4f4e4b01224f329bca6","contributors":{"authors":[{"text":"Conn, Kathleen E. 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":3923,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen E.","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dinicola, Richard S. 0000-0003-4222-294X dinicola@usgs.gov","orcid":"https://orcid.org/0000-0003-4222-294X","contributorId":352,"corporation":false,"usgs":true,"family":"Dinicola","given":"Richard S.","email":"dinicola@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cox, Stephen E. 0000-0001-6614-8225 secox@usgs.gov","orcid":"https://orcid.org/0000-0001-6614-8225","contributorId":1642,"corporation":false,"usgs":true,"family":"Cox","given":"Stephen","email":"secox@usgs.gov","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sheibley, Richard W. 0000-0003-1627-8536 sheibley@usgs.gov","orcid":"https://orcid.org/0000-0003-1627-8536","contributorId":87452,"corporation":false,"usgs":true,"family":"Sheibley","given":"Richard","email":"sheibley@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":655663,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foreman, James R. 0000-0003-0535-4580 jforeman@usgs.gov","orcid":"https://orcid.org/0000-0003-0535-4580","contributorId":3669,"corporation":false,"usgs":true,"family":"Foreman","given":"James","email":"jforeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":655664,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Senter, Craig A.","contributorId":40310,"corporation":false,"usgs":true,"family":"Senter","given":"Craig A.","affiliations":[],"preferred":false,"id":655665,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peterson, Norman T. 0000-0001-6071-8741 npeterson@usgs.gov","orcid":"https://orcid.org/0000-0001-6071-8741","contributorId":150043,"corporation":false,"usgs":true,"family":"Peterson","given":"Norman T.","email":"npeterson@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":655666,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70178562,"text":"sir20165167 - 2016 - Evaluating external nutrient and suspended-sediment loads to Upper Klamath Lake, Oregon, using surrogate regressions with real-time turbidity and acoustic backscatter data","interactions":[],"lastModifiedDate":"2017-01-02T09:49:31","indexId":"sir20165167","displayToPublicDate":"2016-12-22T16:00:00","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":"2016-5167","title":"Evaluating external nutrient and suspended-sediment loads to Upper Klamath Lake, Oregon, using surrogate regressions with real-time turbidity and acoustic backscatter data","docAbstract":"<h1>Executive Summary</h1><p>Suspended-sediment and total phosphorus loads were computed for two sites in the Upper Klamath Basin on the Wood and Williamson Rivers, the two main tributaries to Upper Klamath Lake. High temporal resolution turbidity and acoustic backscatter data were used to develop surrogate regression models to compute instantaneous concentrations and loads on these rivers. Regression models for the Williamson River site showed strong correlations of turbidity with total phosphorus and suspended-sediment concentrations (adjusted coefficients of determination [Adj R<sup>2</sup>]=0.73 and 0.95, respectively). Regression models for the Wood River site had relatively poor, although statistically significant, relations of turbidity with total phosphorus, and turbidity and acoustic backscatter with suspended sediment concentration, with high prediction uncertainty. Total phosphorus loads for the partial 2014 water year (excluding October and November 2013) were 39 and 28 metric tons for the Williamson and Wood Rivers, respectively. These values are within the low range of phosphorus loads computed for these rivers from prior studies using water-quality data collected by the Klamath Tribes. The 2014 partial year total phosphorus loads on the Williamson and Wood Rivers are assumed to be biased low because of the absence of data from the first 2 months of water year 2014, and the drought conditions that were prevalent during that water year. Therefore, total phosphorus and suspended-sediment loads in this report should be considered as representative of a low-water year for the two study sites. Comparing loads from the Williamson and Wood River monitoring sites for November 2013–September 2014 shows that the Williamson and Sprague Rivers combined, as measured at the Williamson River site, contributed substantially more suspended sediment to Upper Klamath Lake than the Wood River, with 4,360 and 1,450 metric tons measured, respectively.</p><p>Surrogate techniques have proven useful at the two study sites, particularly in using turbidity to compute suspended-sediment concentrations in the Williamson River. This proof-of-concept effort for computing total phosphorus concentrations using turbidity at the Williamson and Wood River sites also has shown that with additional samples over a wide range of flow regimes, high-temporal-resolution total phosphorus loads can be estimated on a daily, monthly, and annual basis, along with uncertainties for total phosphorus and suspended-sediment concentrations computed using regression models. Sediment-corrected backscatter at the Wood River has potential for estimating suspended-sediment loads from the Wood River Valley as well, with additional analysis of the variable streamflow measured at that site. Suspended-sediment and total phosphorus loads with a high level of temporal resolution will be useful to water managers, restoration practitioners, and scientists in the Upper Klamath Basin working toward the common goal of decreasing nutrient and sediment loads in Upper Klamath Lake.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165167","collaboration":"Prepared in cooperation with the Bureau of Reclamation and the Klamath Tribes","usgsCitation":"Schenk, L.N., Anderson, C.W., Diaz, Paul, and Stewart, M.A., 2016, Evaluating external nutrient and suspended-sediment loads to Upper Klamath Lake, Oregon, using surrogate regressions with real-time turbidity and acoustic backscatter data: U.S. Geological Survey Scientific Investigations Report 2016–5167, 46 p., https://doi.org/10.3133/sir20165167.","productDescription":"vii, 46 p.","numberOfPages":"58","onlineOnly":"Y","ipdsId":"IP-075160","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":332500,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5167/sir20165167.pdf","text":"Report","size":"6.5","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5167 Report PDF"},{"id":332499,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5167/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.3,\n              42.0\n            ],\n            [\n              -122.3,\n              43.3\n            ],\n            [\n              -120.4,\n              43.3\n            ],\n            [\n              -120.4,\n              42.0\n            ],\n            [\n              -122.3,\n              42.0\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Oregon Water Science Center<br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201<br><a href=\"http://or.water.usgs.gov\" data-mce-href=\"http://or.water.usgs.gov\">http://or.water.usgs.gov</a><br></p>","tableOfContents":"<ul><li>Executive Summary<br></li><li>Introduction<br></li><li>Data Collection and Methods<br></li><li>Suspended-Sediment Surrogate Models<br></li><li>Nutrient Sample Results<br></li><li>Total Phosphorus Surrogate Models<br></li><li>Discussion<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendixes A-D<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-12-22","noUsgsAuthors":false,"publicationDate":"2016-12-22","publicationStatus":"PW","scienceBaseUri":"585cf4f4e4b01224f329bca8","contributors":{"authors":[{"text":"Schenk, Liam N. 0000-0002-2491-0813 lschenk@usgs.gov","orcid":"https://orcid.org/0000-0002-2491-0813","contributorId":4273,"corporation":false,"usgs":true,"family":"Schenk","given":"Liam","email":"lschenk@usgs.gov","middleInitial":"N.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":139268,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey","email":"chauncey@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":654371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diaz, Paul 0000-0002-3086-7663 pdiaz@usgs.gov","orcid":"https://orcid.org/0000-0002-3086-7663","contributorId":177042,"corporation":false,"usgs":true,"family":"Diaz","given":"Paul","email":"pdiaz@usgs.gov","affiliations":[],"preferred":true,"id":654372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, Marc A. 0000-0003-1140-6316 mastewar@usgs.gov","orcid":"https://orcid.org/0000-0003-1140-6316","contributorId":2277,"corporation":false,"usgs":true,"family":"Stewart","given":"Marc","email":"mastewar@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654373,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179188,"text":"70179188 - 2016 - Quantifying the effects of research band resighting activities on staging terns in comparison to other disturbances","interactions":[],"lastModifiedDate":"2016-12-21T11:19:43","indexId":"70179188","displayToPublicDate":"2016-12-21T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the effects of research band resighting activities on staging terns in comparison to other disturbances","docAbstract":"<p><span>Avian research that involves potential disturbance to the study species may have unintended fitness consequences and could lead to biases in measurements of interest. The effects of band resighting on the behavior of mixed-species flocks of staging waterbirds were evaluated against recreational pedestrian activity that was expected to cause flushing. We found a model with additive effects of distance (near, 0-50 m, or far, 50-200 m) and disturbance type (researcher or pedestrian) best explained flock behaviors. The proportion of staging flocks that flushed in response to pedestrians was greatest when pedestrians were within 50 m of the flock. Virtually no flushes were observed in response to researchers, regardless of distance. These results could assist in alleviating concerns that accepted protocols used for intensive band resighting studies on staging seabirds of special conservation status, such as Roseate (</span><i>Sterna dougallii</i><span>) and Common (</span><i>S. hirundo</i><span>) terns, may have adverse effects. Our framework could be used by others to test the effects of similar research on sensitive species.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.039.0412","usgsCitation":"Althouse, M., Cohen, J., Spendelow, J.A., Karpanty, S.M., Davis, K.L., Parsons, K.C., and Luttazi, C.F., 2016, Quantifying the effects of research band resighting activities on staging terns in comparison to other disturbances: Waterbirds, v. 39, no. 4, p. 417-421, https://doi.org/10.1675/063.039.0412.","productDescription":"5 p.","startPage":"417","endPage":"421","ipdsId":"IP-074129","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":332407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585ba2e9e4b01224f329b96a","contributors":{"authors":[{"text":"Althouse, Melissa","contributorId":177593,"corporation":false,"usgs":false,"family":"Althouse","given":"Melissa","affiliations":[],"preferred":false,"id":656320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Jonathan B.","contributorId":77252,"corporation":false,"usgs":true,"family":"Cohen","given":"Jonathan B.","affiliations":[],"preferred":false,"id":656321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spendelow, Jeffrey A. 0000-0001-8167-0898 jspendelow@usgs.gov","orcid":"https://orcid.org/0000-0001-8167-0898","contributorId":4355,"corporation":false,"usgs":true,"family":"Spendelow","given":"Jeffrey","email":"jspendelow@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":656322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karpanty, Sarah M.","contributorId":63307,"corporation":false,"usgs":false,"family":"Karpanty","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":656323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Kayla L.","contributorId":177595,"corporation":false,"usgs":false,"family":"Davis","given":"Kayla","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":656324,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parsons, Katharine C.","contributorId":113691,"corporation":false,"usgs":true,"family":"Parsons","given":"Katharine","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":656325,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luttazi, Cristin F.","contributorId":177596,"corporation":false,"usgs":false,"family":"Luttazi","given":"Cristin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":656326,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70178382,"text":"ofr20161190 - 2016 - Sources of groundwater and characteristics of surface-water recharge at Bell, White, and Suwannee Springs, Florida, 2012–13","interactions":[],"lastModifiedDate":"2017-01-04T10:29:57","indexId":"ofr20161190","displayToPublicDate":"2016-12-21T00:00:00","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":"2016-1190","title":"Sources of groundwater and characteristics of surface-water recharge at Bell, White, and Suwannee Springs, Florida, 2012–13","docAbstract":"<p>Discharge from springs in Florida is sourced from aquifers, such as the Upper Floridan aquifer, which is overlain by an upper confining unit that locally can have properties of an aquifer. Water levels in aquifers are affected by several factors, such as precipitation, recharge, and groundwater withdrawals, which in turn can affect discharge from springs. Therefore, identifying groundwater sources and recharge characteristics can be important in assessing how these factors might affect flows and water levels in springs and can be informative in broader applications such as groundwater modeling. Recharge characteristics include the residence time of water at the surface, apparent age of recharge, and recharge water temperature.</p><p>The groundwater sources and recharge characteristics of three springs that discharge from the banks of the Suwannee River in northern Florida were assessed for this study: Bell Springs, White Springs, and Suwannee Springs. Sources of groundwater were also assessed for a 150-foot-deep well finished within the Upper Floridan aquifer, hereafter referred to as the UFA well. Water samples were collected for geochemical analyses in November 2012 and October 2013 from the three springs and the UFA well. Samples were analyzed for a suite of major ions, dissolved gases, and isotopes of sulfur, strontium, oxygen, and hydrogen. Daily means of water level and specific conductance at White Springs were continuously recorded from October 2012 through December 2013 by the Suwannee River Water Management District. Suwannee River stage at White Springs was computed on the basis of stage at a U.S. Geological Survey streamgage about 2.4 miles upstream. Water levels in two wells, located about 2.5 miles northwest and 13 miles southeast of White Springs, were also used in the analyses.</p><p>Major ion concentrations were used to differentiate water from the springs and Upper Floridan aquifer into three groups: Bell Springs, UFA well, and White and Suwannee Springs. When considered together, evidence from water-level, specific conductance, major-ion concentration, and isotope data indicated that groundwater at Bell Springs and the UFA well was a mixture of surface water and groundwater from the upper confining unit, and that groundwater at White and Suwannee Springs was a mixture of surface water, groundwater from&nbsp;the upper confining unit, and groundwater from the Upper Floridan aquifer. Higher concentrations of magnesium in groundwater samples at the UFA well than in samples at Bell Springs might indicate less mixing with surface water at the UFA well than at Bell Springs. Characteristics of surface-water recharge, such as residence time at the surface, apparent age, and recharge water temperature, were estimated on the basis of isotopic ratios, and dissolved concentrations of gases such as argon, tritium, and sulfur hexafluoride. Oxygen and deuterium isotopic ratios were consistent with rapid recharge by rainwater for samples collected in 2012, and longer residence time at the surface (ponding) for samples collected in 2013. Apparent ages of groundwater samples, computed on the basis of tritium activity and sulfur hexafluoride concentration, indicated groundwater recharge occurred after the late 1980s; however, the estimated apparent ages likely represent the average of ages of multiple sources. Recharge since the 1980s is consistent with groundwater from shallow sources, such as the upper confining unit and Upper Floridan aquifer. Recharge water temperature computed for the three springs and UFA well averaged 20.1 degrees Celsius, which is similar to the mean annual air temperature of 20.6 degrees Celsius at a nearby weather station for 1960–2014.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161190","collaboration":"Prepared in cooperation with the Suwannee River Water Management District","usgsCitation":"Stamm, J.F., and McBride, W.S., 2016, Sources of groundwater and characteristics of surface-water recharge at Bell, White, and Suwannee Springs, Florida: 2012–13: U.S. Geological Survey Open-File Report 2016–1190, 27 p., https://doi.org/10.3133/ofr20161190.","productDescription":"vii, 27 p.","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-066218","costCenters":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"links":[{"id":332418,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1190/coverthb.jpg"},{"id":332419,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1190/ofr20161190.pdf","text":"Report","size":"1.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1190"}],"country":"United States","state":"Florida","otherGeospatial":"Bell Spring, Suwannee Spring, White Spring","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.033333,\n              30.583333\n            ],\n            [\n              -83.033333,\n              30.166667\n            ],\n            [\n              -82.616667,\n              30.166667\n            ],\n            [\n              -82.616667,\n              30.583333\n            ],\n            [\n              -83.033333,\n              30.583333\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director,&nbsp;Caribbean-Florida Water Science Center<br>U.S. Geological Survey<br>4446 Pet Lane, Suite 108 &nbsp;<br>Lutz, FL 33559<br></p><p><a href=\"http://fl.water.usgs.gov/\" data-mce-href=\"http://fl.water.usgs.gov/\">http://fl.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Methods of Investigation<br></li><li>Sources of Groundwater<br></li><li>Characteristics of Recharge<br></li><li>Summary<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-12-21","noUsgsAuthors":false,"publicationDate":"2016-12-21","publicationStatus":"PW","scienceBaseUri":"585ba2eae4b01224f329b96e","contributors":{"authors":[{"text":"Stamm, John F. 0000-0002-3404-2933 jstamm@usgs.gov","orcid":"https://orcid.org/0000-0002-3404-2933","contributorId":149144,"corporation":false,"usgs":true,"family":"Stamm","given":"John","email":"jstamm@usgs.gov","middleInitial":"F.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":653900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBride, W. Scott","contributorId":15293,"corporation":false,"usgs":true,"family":"McBride","given":"W. Scott","affiliations":[],"preferred":false,"id":653899,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178811,"text":"sir20165170 - 2016 - Ambient water quality in aquifers used for drinking-water supplies, Gem County, southwestern Idaho, 2015","interactions":[],"lastModifiedDate":"2016-12-21T09:46:40","indexId":"sir20165170","displayToPublicDate":"2016-12-20T18:00:00","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":"2016-5170","title":"Ambient water quality in aquifers used for drinking-water supplies, Gem County, southwestern Idaho, 2015","docAbstract":"<p>In recent years, the rapid population growth in Gem County, Idaho, has been similar to other counties in southwestern Idaho, increasing about 54 percent from 1990 to 2015. Because the entire population of the study area depends on groundwater for drinking water supply (either from self-supplied domestic, community, or municipal-supply wells), this population growth, along with changes in land use (including potential petroleum exploration and development), indicated to the public and local officials the need to assess the quality of groundwater used for human consumption. To this end, the U.S. Geological Survey, in cooperation with Gem County and the Idaho Department of Environmental Quality, assessed the quality of groundwater from freshwater aquifers used for domestic supply in Gem County. A total of 47 domestic or municipal wells, 1 spring, and 2 surface-water sites on the Payette River were sampled during September 8–November 19, 2015. The sampled water was analyzed for a variety of constituents, including major ions, trace elements, nutrients, bacteria, radionuclides, dissolved gasses, stable isotopes of water and methane, and either volatile organic compounds (VOCs) or pesticides.</p><p>To better understand analytical results, a conceptual hydrogeologic framework was developed in which three hydrogeologic units were described: Quaternary-Tertiary deposits (QTd), Tertiary Idaho Group rocks (Tig), and Tertiary-Cretaceous igneous rocks (TKi). Water levels were measured in 30 wells during sampling, and a groundwater-level altitude map was constructed for the QTd and Tig units showing groundwater flow toward the Emmett Valley and Payette River.</p><p>Analytical results indicate that groundwater in Gem County is generally of good quality. Samples collected from two wells contained water with fluoride concentrations greater than the U.S. Environmental Protection Agency (EPA) Maximum Contaminant Level (MCL) of 4 milligrams per liter (mg/L), six wells contained arsenic at concentrations greater than the EPA MCL of 10 micrograms per liter, and a sample from one well exceeded the MCL of 15 picocuries per liter for alpha particles. Although previous samples collected from some wells in Gem County contained nitrate concentrations greater than the MCL of 10 mg/L, the largest concentration detected in the current study was 5.2 mg/L. Total coliform bacteria was detected in four groundwater samples.</p><p>Three volatile organic compounds (VOCs) were detected in samples collected from five wells, and five compounds of the triazine class of herbicides were detected in samples from five wells; no concentrations were greater than applicable EPA MCLs. Methane was detected in samples from 36 wells, with the concentration in 1 well large enough to be considered an explosion hazard by U.S. Office of Surface Mining guidelines. Stable isotope signatures of methane in six samples suggest that naturally occurring methane in Gem County is probably of both thermogenic and biogenic origin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165170","collaboration":"Prepared in cooperation with Gem County, Idaho, and the Idaho Department of Environmental Quality","usgsCitation":"Bartolino, J.R., and Hopkins, C.B., 2016, Ambient water quality in aquifers used for drinking-water supplies, Gem County, southwestern Idaho, 2015: U.S. Geological Survey Scientific Investigations Report 2016–5170, 33 p.,\nhttps://doi.org/10.3133/sir20165170.","productDescription":"Report: v, 33 p.; Appendix A","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-064719","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":332304,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5170/sir20165170.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5170 Report PDF"},{"id":332305,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5170/sir20165170_appendixa.xlsx","text":"Appendix A","size":"118 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016-5170 Appendix A"},{"id":332303,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5170/coverthb.jpg"}],"country":"United States","state":"Idaho","county":"Gem County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-116.1583,44.5002],[-116.1513,44.5002],[-116.1529,44.4122],[-116.1534,44.3251],[-116.2141,44.3253],[-116.2132,44.2387],[-116.2133,44.194],[-116.2142,44.1521],[-116.2327,44.1523],[-116.255,44.1529],[-116.2754,44.1531],[-116.2751,44.0952],[-116.2741,44.0802],[-116.2744,44.0674],[-116.2736,44.0364],[-116.2725,43.9954],[-116.2722,43.9822],[-116.2735,43.9098],[-116.2737,43.8947],[-116.2756,43.8227],[-116.2759,43.8077],[-116.286,43.808],[-116.4357,43.8087],[-116.4744,43.8085],[-116.5113,43.8071],[-116.7113,43.8072],[-116.7112,43.8385],[-116.7102,43.8677],[-116.7107,43.8827],[-116.7105,43.8968],[-116.7121,43.9834],[-116.6529,43.983],[-116.6339,43.9828],[-116.6116,43.9832],[-116.5926,43.9835],[-116.5729,43.9833],[-116.5726,43.9956],[-116.573,44.0093],[-116.5533,44.0092],[-116.5342,44.009],[-116.5347,44.024],[-116.5338,44.0382],[-116.5336,44.0532],[-116.534,44.066],[-116.5124,44.0654],[-116.4926,44.0652],[-116.4532,44.0658],[-116.4493,44.1534],[-116.4111,44.153],[-116.3901,44.1533],[-116.3556,44.1529],[-116.3546,44.1834],[-116.3541,44.1903],[-116.3537,44.198],[-116.3539,44.2049],[-116.3458,44.2127],[-116.3435,44.221],[-116.3449,44.2269],[-116.3464,44.2341],[-116.3472,44.2405],[-116.3499,44.2469],[-116.345,44.2551],[-116.3435,44.2679],[-116.3444,44.2788],[-116.3466,44.2893],[-116.3462,44.2989],[-116.3419,44.3049],[-116.3454,44.3135],[-116.3455,44.319],[-116.3457,44.3249],[-116.342,44.3304],[-116.3383,44.3368],[-116.3341,44.3451],[-116.3324,44.3529],[-116.3377,44.3605],[-116.3366,44.366],[-116.3302,44.3679],[-116.3297,44.3734],[-116.3267,44.3808],[-116.3276,44.3894],[-116.3251,44.3922],[-116.324,44.3968],[-116.3204,44.4087],[-116.312,44.4261],[-116.3009,44.4445],[-116.2927,44.4496],[-116.2878,44.4552],[-116.2776,44.4585],[-116.2674,44.4609],[-116.2592,44.4647],[-116.2522,44.4652],[-116.2451,44.4635],[-116.2387,44.4654],[-116.235,44.4709],[-116.2309,44.4828],[-116.2285,44.4892],[-116.2235,44.4957],[-116.2211,44.5016],[-116.2174,44.5067],[-116.2091,44.5073],[-116.1935,44.4974],[-116.1857,44.4957],[-116.1583,44.5002]]]},\"properties\":{\"name\":\"Gem\",\"state\":\"ID\"}}]}","contact":"<p>Director, Idaho Water Science Center<br>U.S. Geological Survey<br>230 Collins Road<br>Boise, Idaho 83702<br><a href=\"http://id.water.usgs.gov\" data-mce-href=\"http://id.water.usgs.gov\">http://id.water.usgs.gov</a><br></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Description of Study Area<br></li><li>Previous Work<br></li><li>Study Methods<br></li><li>Hydrogeology<br></li><li>Ambient Water Quality<br></li><li>Additional Needs for Groundwater-Quality Monitoring<br></li><li>Summary and Conclusions<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix A. Water-Quality Data<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-12-20","noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"585a51a6e4b01224f329b5d7","contributors":{"authors":[{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hopkins, Candice B. 0000-0003-3207-7267 chopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-3207-7267","contributorId":1379,"corporation":false,"usgs":true,"family":"Hopkins","given":"Candice","email":"chopkins@usgs.gov","middleInitial":"B.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655177,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179101,"text":"sir20165174 - 2016 - Suspended-sediment concentrations, bedload, particle sizes, surrogate measurements, and annual sediment loads for selected sites in the lower Minnesota River Basin, water years 2011 through 2016","interactions":[],"lastModifiedDate":"2016-12-21T09:36:48","indexId":"sir20165174","displayToPublicDate":"2016-12-20T00:00:00","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":"2016-5174","title":"Suspended-sediment concentrations, bedload, particle sizes, surrogate measurements, and annual sediment loads for selected sites in the lower Minnesota River Basin, water years 2011 through 2016","docAbstract":"<p>Accurate measurements of fluvial sediment are important for assessing stream ecological health, calculating flood levels, computing sediment budgets, and managing and protecting water resources. Sediment-enriched rivers in Minnesota are a concern among Federal, State, and local governments because turbidity and sediment-laden waters are the leading impairments and affect more than 6,000 miles of rivers in Minnesota. The suspended sediment in the lower Minnesota River is deleterious, contributing about 75 to 90 percent of the suspended sediment being deposited into Lake Pepin. The Saint Paul District of the U.S. Army Corps of Engineers and the Lower Minnesota River Watershed District collaborate to maintain a navigation channel on the lower 14.7 miles of the Minnesota River through scheduled dredging operations. The Minnesota Pollution Control Agency has adopted a sediment-reduction strategy to reduce sediment in the Minnesota River by 90 percent by 2040.</p><p>The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, the Minnesota Pollution Control Agency, and the Lower Minnesota River Watershed District, collected suspended-sediment, bedload, and particle-size samples at five sites in the lower Minnesota River Basin during water years 2011 through 2014 and surrogate measurements of acoustic backscatter at one of these sites on the lower Minnesota River during water years 2012 through 2016 to quantify sediment loads and improve understanding of sediment-transport relations. Annual sediment loads were computed for calendar years 2011 through 2014.</p><p>Data collected from water years 2011 through 2014 indicated that two tributaries, Le Sueur River and High Island Creek, had the highest sediment yield and concentrations of suspended sediment. These tributaries also had greater stream gradients than the sites on the Minnesota River. Suspended fines were greater than suspended sand at all sites in the study area. The range of median particle sizes matched the range for stream gradients from greatest to smallest. Bedload ranged from 3 to 20 percent of the total load at the Le Sueur River, Minnesota River at Mankato, and High Island Creek and was less than 1 percent of the total load at the Minnesota River near Jordan and at Fort Snelling State Park. The reach of the Minnesota River between Mankato and Jordan is a major source of sediment, with the sediment yield at Jordan being two and a half times greater than at Mankato. Between Jordan and Fort Snelling, the sediment yield decreases substantially, which indicates that the Minnesota River in this reach is a sink for sediment. Surrogate measurements (acoustic backscatter) collected with suspended-sediment concentration data from water years 2012 through 2016 from the Minnesota River at Fort Snelling State Park indicated strong relations between the acoustic backscatter and suspended-sediment concentrations. These results point to the dynamic nature of sediment aggradation, degradation, and transport in the Minnesota River Basin. The analyses described in this report will improve the understanding of sediment-transport relations and sediment budgets in the Minnesota River Basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165174","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Minnesota Pollution Control Agency, and Lower Minnesota River Watershed District","usgsCitation":"Groten, J.T., Ellison, C.A., and Hendrickson, J.S., 2016, Suspended-sediment concentrations, bedload, particle sizes, surrogate measurements, and annual sediment loads for selected sites in the lower Minnesota River Basin, water years 2011 through 2016: U.S. Geological Survey Scientific Investigations Report 2016–5174, 29 p., https://doi.org/10.3133/sir20165174.","productDescription":"Report: viii, 29 p.; Appendix Tables","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-077057","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":332354,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5174/coverthb.jpg"},{"id":332355,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5174/sir20165174.pdf","text":"Report","size":"1.87 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5174"},{"id":332356,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5174/sir20165174_appendix_tables.xlsx","text":"Appendix Tables","size":"240 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5174 Appendix 1"}],"country":"United States","state":"Minnesota","otherGeospatial":"Minnesota River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.56732177734375,\n              43.97898113341921\n            ],\n            [\n              -95.56732177734375,\n              44.853921768268805\n            ],\n            [\n              -93.22723388671875,\n              44.853921768268805\n            ],\n            [\n              -93.22723388671875,\n              43.97898113341921\n            ],\n            [\n              -95.56732177734375,\n              43.97898113341921\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Minnesota Water Science Center<br>U.S. Geological Survey<br>2280 Woodale Drive<br>Mounds View, Minnesota 55112</p><p><a href=\"http://mn.water.usgs.gov/\" data-mce-href=\"http://mn.water.usgs.gov/\">http://mn.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Methods of Data Collection and Analysis<br></li><li>Streamflow, Suspended-Sediment Concentrations, Bedload, Particle Sizes, and Surrogate Measurements<br></li><li>Annual Sediment Loads<br></li><li>Summary and Conclusions<br></li><li>References Cited<br></li><li>Appendix 1<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-12-20","noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"585a51b9e4b01224f329b5df","contributors":{"authors":[{"text":"Groten, Joel T. jgroten@usgs.gov","contributorId":171771,"corporation":false,"usgs":true,"family":"Groten","given":"Joel T.","email":"jgroten@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":656049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellison, Christopher A. 0000-0002-5886-6654 cellison@usgs.gov","orcid":"https://orcid.org/0000-0002-5886-6654","contributorId":4891,"corporation":false,"usgs":true,"family":"Ellison","given":"Christopher","email":"cellison@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":656050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hendrickson, Jon S.","contributorId":177520,"corporation":false,"usgs":false,"family":"Hendrickson","given":"Jon","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":656051,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178693,"text":"ofr20161200 - 2016 - Concentration, flux, and trend estimates with uncertainty for nutrients, chloride, and total suspended solids in tributaries of Lake Champlain, 1990–2014","interactions":[],"lastModifiedDate":"2019-12-27T11:38:47","indexId":"ofr20161200","displayToPublicDate":"2016-12-20T00:00:00","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":"2016-1200","title":"Concentration, flux, and trend estimates with uncertainty for nutrients, chloride, and total suspended solids in tributaries of Lake Champlain, 1990–2014","docAbstract":"<p class=\"Default\"><span>The U.S. Geological Survey, in cooperation with the New England Interstate Water Pollution Control Commission and the Vermont Department of Environmental Conservation, estimated daily and 9-month concentrations and fluxes of total and dissolved phosphorus, total nitrogen, chloride, and total suspended solids from 1990 (or first available date) through 2014 for 18 tributaries of Lake Champlain. Estimates of concentration and flux, provided separately in Medalie (2016), were made by using the Weighted Regressions on Time, Discharge, and Season (WRTDS) regression model and update previously published WRTDS model results with recent data. Assessment of progress towards meeting phosphorus-reduction goals outlined in the Lake Champlain management plan relies on annual estimates of phosphorus flux. The percent change in annual concentration and flux is provided for two time periods. The R package EGRETci was used to estimate the uncertainty of the trend estimate. Differences in model specification and function between this study and previous studies that used WRTDS to estimate concentration and flux using data from Lake Champlain tributaries are described. </span></p><p class=\"Default\"><span>Winter data were too sparse and nonrepresentative to use for estimates of concentration and flux but were sufficient for estimating the percentage of total annual flux over the period of record. Median winter-to-annual fractions ranged between 21 percent for total suspended solids and 27 percent for dissolved phosphorus. The winter contribution was largest for all constituents from the Mettawee River and smallest from the Ausable River. </span></p><p class=\"Default\"><span>For the full record (1991 through 2014 for total and dissolved phosphorus and chloride and 1993 through 2014 for nitrogen and total suspended solids), 6 tributaries had decreasing trends in concentrations of total phosphorus, and 12 had increasing trends; concentrations of dissolved phosphorus decreased in 6 and increased in 8 tributaries; fluxes of total phosphorus decreased in 5 and increased in 10 tributaries; and fluxes of dissolved phosphorus decreased in 4 and increased in 10 tributaries (where the number of increasing and decreasing trends does not add up to 18, the remainder of tributaries had no trends). Concentrations and fluxes of nitrogen decreased in 10 and increased in 4 tributaries and of chloride decreased in 2 and increased in 15 tributaries. Concentrations of total suspended solids decreased in 4 and increased in 8 tributaries, and fluxes of total suspended solids decreased in 3 and increased in 11 tributaries. </span></p><p class=\"Default\"><span>Although time intervals for the percent changes from this report are not completely synchronous with those from previous studies, the numbers of and specific tributaries with overall negative percent changes in concentration and flux are similar. Concentration estimates of total phosphorus in the Winooski River were used to trace whether changes in trends between a previous study and the current study were due generally to differences in model specifications or differences from 4 years of additional data. The Winooski River analysis illustrates several things: that keeping all model specifications equal, concentration estimates increased from 2010 to 2014; the effects of a smoothing algorithm used in the current study that was not available previously; that narrowing model half-window widths increased year-to-year variations; and that the change from an annual to a 9-month basis by omitting winter estimates changed a few individual points but not the overall shape of the flow-normalized curve. Similar tests for other tributaries showed that the primary effect of differences in model specifications between the previous and current studies was perhaps to increase scatter over time but that changes in trends generally were the result of 4 years of additional data rather than artifacts of model differences.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161200","collaboration":"Prepared in cooperation with the New England Interstate Water Pollution Control Commission and the Vermont Department of Environmental Conservation","usgsCitation":"Medalie, Laura, 2016, Concentration, flux, and trend estimates with uncertainty for nutrients, chloride, and total suspended solids in tributaries of Lake Champlain, 1990–2014: U.S. Geological Survey Open-File Report 2016–1200, 22 p., https://doi.org/10.3133/ofr20161200.","productDescription":"Report: iv, 22 p.; Data Release","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076110","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":438482,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7RN360M","text":"USGS data release","linkHelpText":"Estimates of annual and daily concentration and flux of nutrients, chloride, and suspended sediment in tributaries of Lake Champlain, 1990 through 2014"},{"id":332328,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7RN360M","text":"USGS data release - Estimates of annual and daily concentration and flux of nutrients, chloride, and total suspended solids in tributaries of Lake Champlain, 1990 through 2014","description":"Usgs Data Release"},{"id":332327,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1200/ofr20161200.pdf","text":"Report","size":"858 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1200"},{"id":332326,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1200/coverthb.jpg"}],"country":"United States","state":"New York, Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.597412109375,\n              44.01454613545038\n            ],\n            [\n              -73.00140380859375,\n              44.01454613545038\n            ],\n            [\n              -73.00140380859375,\n              45.00365115687186\n            ],\n            [\n              -73.597412109375,\n              45.00365115687186\n            ],\n            [\n              -73.597412109375,\n              44.01454613545038\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, New England Water Science Center<br>U.S. Geological Survey<br>331 Commerce Way &nbsp;<br>Pembroke, NH 03275</p><p><a href=\"http://newengland.water.usgs.gov\" data-mce-href=\"http://newengland.water.usgs.gov\">http://newengland.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods of Data Analysis</li><li>Concentrations and Fluxes</li><li>Trends in Concentration and Flux</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-12-20","noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"585a51bbe4b01224f329b5e1","contributors":{"authors":[{"text":"Medalie, Laura 0000-0002-2440-2149 lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654829,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70179147,"text":"70179147 - 2016 - Active season microhabitat and vegetation selection by giant gartersnakes associated with a restored marsh in California","interactions":[],"lastModifiedDate":"2017-02-14T13:07:36","indexId":"70179147","displayToPublicDate":"2016-12-20T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Active season microhabitat and vegetation selection by giant gartersnakes associated with a restored marsh in California","docAbstract":"<p><span>Studies of habitat selection can reveal important patterns to guide habitat restoration and management for species of conservation concern. Giant gartersnakes </span><i>Thamnophis gigas</i><span> are endemic to the Central Valley of California, where &gt;90% of their historical wetland habitat has been converted to agricultural and other uses. Information about the selection of habitats by individual giant gartersnakes would guide habitat restoration by indicating which habitat features and vegetation types are likely to be selected by these rare snakes. We examined activity patterns and selection of microhabitats and vegetation types by adult female giant gartersnakes with radiotelemetry at a site composed of rice agriculture and restored wetlands using a paired case-control study design. Adult female giant gartersnakes were 14.7 (95% credible interval [CRI] = 9.4–23.7) times more likely to be active (foraging, mating, or moving) when located in aquatic habitats than when located in terrestrial habitats. Microhabitats associated with cover—particularly emergent vegetation, terrestrial vegetation, and litter—were positively selected by giant gartersnakes. Individual giant gartersnakes varied greatly in their selection of rice and rock habitats, but varied little in their selection of open water. Tules </span><i><i>Schoenoplectus acutus</i></i><span> were the most strongly selected vegetation type, and duckweed </span><i><i>Lemna</i></i><span> spp., water-primrose </span><i><i>Ludwigia</i></i><span> spp., forbs, and grasses also were positively selected at the levels of availability observed at our study site. Management practices that promote the interface of water with emergent aquatic and herbaceous terrestrial vegetation will likely benefit giant gartersnakes. Given their strong selection of tules, restoration of native tule marshes will likely provide the greatest benefit to these threatened aquatic snakes.</span></p>","language":"English","publisher":"Scientific Journals","doi":"10.3996/042016-JFWM-029","usgsCitation":"Halstead, B., Valcarcel, P., Wylie, G.D., Coates, P.S., Casazza, M.L., and Rosenberg, D.K., 2016, Active season microhabitat and vegetation selection by giant gartersnakes associated with a restored marsh in California: Journal of Fish and Wildlife Management, v. 7, no. 2, p. 397-407, https://doi.org/10.3996/042016-JFWM-029.","productDescription":"11 p.","startPage":"397","endPage":"407","ipdsId":"IP-054874","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488587,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/042016-jfwm-029","text":"Publisher Index Page"},{"id":438481,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QF8R0R","text":"USGS data release","linkHelpText":"Microhabitat and Vegetation Selection by Giant Gartersnakes Associated with a Restored Marsh in California"},{"id":332349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335351,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7QF8R0R","text":"Microhabitat and vegetation selection by giant gartersnakes associated with a restored marsh in California"}],"country":"United States","state":"California","volume":"7","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-01","publicationStatus":"PW","scienceBaseUri":"585a51a9e4b01224f329b5dd","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":656189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valcarcel, Patricia","contributorId":177543,"corporation":false,"usgs":false,"family":"Valcarcel","given":"Patricia","email":"","affiliations":[],"preferred":false,"id":656193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Glenn D. 0000-0002-7061-6658 glenn_wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7061-6658","contributorId":3052,"corporation":false,"usgs":true,"family":"Wylie","given":"Glenn","email":"glenn_wylie@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656191,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656192,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosenberg, Daniel K.","contributorId":177550,"corporation":false,"usgs":false,"family":"Rosenberg","given":"Daniel","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":656194,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179179,"text":"70179179 - 2016 - Migratory-stage sea lamprey <i>Petromyzon marinus</i> stop responding to conspecific damage-released alarm cues after 4 h of continuous exposure in laboratory conditions","interactions":[],"lastModifiedDate":"2017-04-24T14:41:27","indexId":"70179179","displayToPublicDate":"2016-12-20T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Migratory-stage sea lamprey <i>Petromyzon marinus</i> stop responding to conspecific damage-released alarm cues after 4 h of continuous exposure in laboratory conditions","docAbstract":"<p><span>This study investigated the length of avoidance response of migratory-stage sea lamprey </span><i>Petromyzon marinus</i><span> exposed continuously to conspecific damage-released alarm cues for varying lengths of time in laboratory stream channels. Ten replicate groups of </span><i>P. marinus</i><span>, separated by sex, were exposed to either deionized water control or to </span><i>P. marinus</i><span> extract for 0, 2 or 4 h continuously. </span><i>Petromyzon marinus</i><span> maintained their avoidance response to the conspecific damage-released alarm cue after continuous exposure to the alarm cue for 0 and 2 h but not 4 h. Beyond being one of the first studies in regards to sensory–olfactory adaptation–acclimation of fishes to alarm cues of any kind, these results have important implications for use of conspecific alarm cues in </span><i>P. marinus</i><span> control. For example, continuous application of conspecific alarm cue during the day, when </span><i>P. marinus</i><span> are inactive and hiding, may result in sensory adaptation to the odour by nightfall when they migrate upstream.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.13231","usgsCitation":"Imre, I., Di Rocco, R.T., McClure, H., Johnson, N., and Brown, G.E., 2016, Migratory-stage sea lamprey <i>Petromyzon marinus</i> stop responding to conspecific damage-released alarm cues after 4 h of continuous exposure in laboratory conditions: Journal of Fish Biology, v. 90, no. 4, p. 1297-1304, https://doi.org/10.1111/jfb.13231.","productDescription":"8 p.","startPage":"1297","endPage":"1304","ipdsId":"IP-079426","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":332346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-12","publicationStatus":"PW","scienceBaseUri":"585a51a8e4b01224f329b5d9","contributors":{"authors":[{"text":"Imre, Istvan","contributorId":150985,"corporation":false,"usgs":false,"family":"Imre","given":"Istvan","email":"","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":656267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Di Rocco, Richard T.","contributorId":150984,"corporation":false,"usgs":false,"family":"Di Rocco","given":"Richard","email":"","middleInitial":"T.","affiliations":[{"id":6586,"text":"Concordia University","active":true,"usgs":false}],"preferred":false,"id":656268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McClure, Haley","contributorId":177583,"corporation":false,"usgs":false,"family":"McClure","given":"Haley","email":"","affiliations":[],"preferred":false,"id":656269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":656266,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Grant E.","contributorId":173005,"corporation":false,"usgs":false,"family":"Brown","given":"Grant","email":"","middleInitial":"E.","affiliations":[{"id":6586,"text":"Concordia University","active":true,"usgs":false}],"preferred":false,"id":656270,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179045,"text":"ofr20161205 - 2016 - Preliminary peak stage and streamflow data at selected streamgaging stations in North Carolina and South Carolina for flooding following Hurricane Matthew, October 2016","interactions":[],"lastModifiedDate":"2017-01-09T10:25:48","indexId":"ofr20161205","displayToPublicDate":"2016-12-19T14:15:00","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":"2016-1205","title":"Preliminary peak stage and streamflow data at selected streamgaging stations in North Carolina and South Carolina for flooding following Hurricane Matthew, October 2016","docAbstract":"<p>The passage of Hurricane Matthew across the central and eastern regions of North Carolina and South Carolina during October 7–9, 2016, resulted in heavy rainfall that caused major flooding in parts of the eastern Piedmont in North Carolina and coastal regions of both States. Rainfall totals of 3 to 8 inches and 8 to more than 15 inches were widespread throughout the central and eastern regions, respectively. U.S. Geological Survey streamgages recorded peaks of record at 26 locations, including 11 sites with long-term periods of 30 or more years of record. A total of 44 additional locations had peak streamflows that ranked in the top 5 for the period of record. Additionally, among 23 U.S. Geological Survey streamgages within the affected basins in North Carolina where stage-only data are collected, new peak stages were recorded at 5 locations during the flooding. U.S. Geological Survey personnel made 102 streamflow measurements at 60 locations in both States to verify, update, or extend existing rating curves (which are used to determine stage-discharge relations) during the October 2016 flood event.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161205","usgsCitation":"Weaver, J.C., Feaster, T.D., and Robbins, J.C., 2016, Preliminary peak stage and streamflow data at selected streamgaging stations in North Carolina and South Carolina for flooding following Hurricane Matthew, October 2016:  U.S. Geological Survey Open-File Report 2016–1205, 38 p., https://doi.org/10.3133/ofr20161205.","productDescription":"v, 38 p.","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-081734","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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Carolina\",\"nation\":\"USA  \"}}]}","contact":"<p><a href=\"mailto:dc_sc@usgs.gov\" data-mce-href=\"mailto:dc_sc@usgs.gov\">Director</a>, South Atlantic Water Science Center<br> U.S. Geological Survey <br> 720 Gracern Road<br> Stephenson Center, Suite 129 <br> Columbia, SC 29210<br> <a href=\"http://www.usgs.gov/water/southatlantic/\" data-mce-href=\"http://www.usgs.gov/water/southatlantic/\">http://www.usgs.gov/water/southatlantic/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>General Weather Conditions and Precipitation Causing the October 2016 Flooding</li><li>Methods Used to Collect Streamflow Data</li><li>Peak Streamflow and Stage</li><li>Comparison of the October 2016 Flood to Past Floods</li><li>Summary&nbsp;</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-12-19","noUsgsAuthors":false,"publicationDate":"2016-12-19","publicationStatus":"PW","scienceBaseUri":"58590005e4b03639a6025e1f","contributors":{"authors":[{"text":"Weaver, J. Curtis 0000-0001-7068-5445 jcweaver@usgs.gov","orcid":"https://orcid.org/0000-0001-7068-5445","contributorId":2229,"corporation":false,"usgs":true,"family":"Weaver","given":"J.","email":"jcweaver@usgs.gov","middleInitial":"Curtis","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":655863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":177452,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[],"preferred":false,"id":655865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robbins, Jeanne C. 0000-0001-7804-0764 jrobbins@usgs.gov","orcid":"https://orcid.org/0000-0001-7804-0764","contributorId":1586,"corporation":false,"usgs":true,"family":"Robbins","given":"Jeanne","email":"jrobbins@usgs.gov","middleInitial":"C.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655864,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179030,"text":"fs20163087 - 2016 - Science to support the understanding of Ohio's water resources, 2016-17","interactions":[],"lastModifiedDate":"2016-12-19T13:42:30","indexId":"fs20163087","displayToPublicDate":"2016-12-19T11:15:00","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":"2016-3087","title":"Science to support the understanding of Ohio's water resources, 2016-17","docAbstract":"<p>Ohio’s water resources support a complex web of human activities and nature—clean and abundant water is needed for drinking, recreation, farming, and industry, as well as for fish and wildlife needs. Although rainfall in normal years can support these activities and needs, occasional floods and droughts can disrupt streamflow, groundwater, water availability, water quality, recreation, and aquatic habitats. Ohio is bordered by the Ohio River and Lake Erie; it has over 44,000 miles of streams and more than 60,000 lakes and ponds (State of Ohio, 1994). Nearly all of the rural population obtains drinking water from groundwater sources. </p><p>The U.S. Geological Survey (USGS) works in cooperation with local, State, and other Federal agencies, as well as universities, to furnish decisionmakers, policy makers, USGS scientists, and the general public with reliable scientific information and tools to assist them in management, stewardship, and use of Ohio’s natural resources. The diversity of scientific expertise among USGS personnel enables them to carry out large- and small-scale multidisciplinary studies. The USGS is unique among government organizations because it has neither regulatory nor developmental authority—its sole product is impartial, credible, relevant, and timely scientific information, equally accessible and available to everyone. The USGS Ohio Water Science Center provides reliable hydrologic and water-related ecological information to aid in the understanding of the use and management of the Nation’s water resources, in general, and Ohio’s water resources, in particular. This fact sheet provides an overview of current (2016) or recently completed USGS studies and data activities pertaining to water resources in Ohio. More information regarding projects of the USGS Ohio Water Science Center is available at <a href=\"http://oh.water.usgs.gov/\" data-mce-href=\"http://oh.water.usgs.gov/\">http://oh.water.usgs.gov/</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163087","usgsCitation":"Shaffer, K.H., and Kula, S.P., 2016, Science to support the understanding of Ohio's water resources, 2016-17: U.S. Geological Survey Fact Sheet 2016–3087, 8 p., https://doi.org/10.3133/fs20163087.","productDescription":"8 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-079071","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":332076,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3087/fs20163087.pdf","text":"Report","size":"18.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 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 \"}}]}","contact":"<p><a href=\"mailto:dc_oh@usgs.gov\" data-mce-href=\"mailto:dc_oh@usgs.gov\">Director</a>, Ohio Water Science Center<br> 6460 Busch Blvd, Suite 100<br> Columbus, OH 43229<br> Phone (614) 430-7700<br> <a href=\"http://oh.water.usgs.gov/\" data-mce-href=\"http://oh.water.usgs.gov/\">http://oh.water.usgs.gov/</a></p>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2016-12-19","noUsgsAuthors":false,"publicationDate":"2016-12-19","publicationStatus":"PW","scienceBaseUri":"58590006e4b03639a6025e21","contributors":{"compilers":[{"text":"Shaffer, Kimberly kshaffer@usgs.gov","contributorId":1589,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly","email":"kshaffer@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655829,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Kula, Stephanie P. spkula@usgs.gov","contributorId":4666,"corporation":false,"usgs":true,"family":"Kula","given":"Stephanie","email":"spkula@usgs.gov","middleInitial":"P.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655830,"contributorType":{"id":3,"text":"Compilers"},"rank":2}],"authors":[{"text":"Shaffer, Kimberly kshaffer@usgs.gov","contributorId":1589,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly","email":"kshaffer@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":656180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kula, Stephanie P. spkula@usgs.gov","contributorId":4666,"corporation":false,"usgs":true,"family":"Kula","given":"Stephanie","email":"spkula@usgs.gov","middleInitial":"P.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":656181,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179119,"text":"70179119 - 2016 - GDGT and alkenone flux in the northern Gulf of Mexico: Implications for the TEX<sub>86</sub> and U<sup>K<sub>1</sub></sup><sub>37</sub> paleothermometers","interactions":[],"lastModifiedDate":"2017-02-14T13:14:47","indexId":"70179119","displayToPublicDate":"2016-12-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"GDGT and alkenone flux in the northern Gulf of Mexico: Implications for the TEX<sub>86</sub> and U<sup>K<sub>1</sub></sup><sub>37</sub> paleothermometers","docAbstract":"<p><span>The TEX</span><sub>86</sub><span> and </span><span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0007.png?v=1&amp;s=d403479a25335b6ac40e53bb763bf64663a30b00\" alt=\"math formula\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0007.png?v=1&amp;s=d403479a25335b6ac40e53bb763bf64663a30b00\"></span></span><span> molecular biomarker proxies have been broadly applied in down-core marine sediments to reconstruct past sea surface temperature (SST). Although both TEX</span><sub>86</sub><span> and </span><span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0008.png?v=1&amp;s=62f4caa74a179c9d008a8c29c9106a38e54f3c48\" alt=\"math formula\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0008.png?v=1&amp;s=62f4caa74a179c9d008a8c29c9106a38e54f3c48\"></span></span><span> have been interpreted as proxies for mean annual SST throughout the global ocean, regional studies of GDGTs and alkenones in sinking particles are required to understand the influence of seasonality, depth distribution and diagenesis on downcore variability. We measure GDGT and alkenone flux, as well as the TEX</span><sub>86</sub><span> and </span><span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0009.png?v=1&amp;s=2e82d31462f318fb86f3ffaf2a6a3787eb48a6ae\" alt=\"math formula\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0009.png?v=1&amp;s=2e82d31462f318fb86f3ffaf2a6a3787eb48a6ae\"></span></span><span> indices in a 4-year sediment trap time series (2010-2014) in the northern Gulf of Mexico (nGoM), and compare these data with core-top sediments at the same location. GDGT and alkenone fluxes do not show a consistent seasonal cycle, however the largest flux peaks for both occurs in winter. </span><span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0010.png?v=1&amp;s=81f7fa754f9d41630511e3846390c9cd8cbf7274\" alt=\"math formula\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0010.png?v=1&amp;s=81f7fa754f9d41630511e3846390c9cd8cbf7274\"></span></span><span> co-varies with SST over the 4-year sampling interval, but the </span><span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0011.png?v=1&amp;s=73d72d872e1a2521267a2b8d2fc5dcab7424727f\" alt=\"math formula\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0011.png?v=1&amp;s=73d72d872e1a2521267a2b8d2fc5dcab7424727f\"></span></span><span>-SST relationship in this data set implies a smaller slope or non-linearity at high temperatures when compared with existing calibrations. Furthermore, the flux-weighted </span><span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0012.png?v=1&amp;s=c4029c4c176475c28ba9d172d719d06ea968530b\" alt=\"math formula\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0012.png?v=1&amp;s=c4029c4c176475c28ba9d172d719d06ea968530b\"></span></span><span>value from sinking particles is significantly lower than that of underlying core-top sediments, suggesting preferential diagenetic loss of the tri-unsaturated alkenone in sediments. TEX</span><sub>86</sub><span> does not co-vary with SST, suggesting production in the subsurface upper water column. The flux-weighted mean TEX</span><sub>86</sub><span> matches that of core-top sediments, confirming that TEX</span><sub>86</sub><span> in the nGoM reflects local planktonic production rather than allochthonous or </span><i>in-situ</i><span> sedimentary production. We explore potential sources of uncertainty in both proxies in the nGoM, but demonstrate that they show nearly identical trends in 20</span><sup>th</sup><span> century SST, despite these factors.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2016PA003032","usgsCitation":"Richey, J.N., and Tierney, J.E., 2016, GDGT and alkenone flux in the northern Gulf of Mexico: Implications for the TEX<sub>86</sub> and U<sup>K<sub>1</sub></sup><sub>37</sub> paleothermometers: Paleoceanography, v. 31, no. 12, p. 1547-1561, https://doi.org/10.1002/2016PA003032.","productDescription":"15 p.","startPage":"1547","endPage":"1561","ipdsId":"IP-079473","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470319,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016pa003032","text":"External Repository"},{"id":332266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335357,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76M350W","text":"GDGT and Alkenone Flux in the Northern Gulf of Mexico"}],"otherGeospatial":"Northern Gulf of Mexico","volume":"31","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-19","publicationStatus":"PW","scienceBaseUri":"58590008e4b03639a6025e29","contributors":{"authors":[{"text":"Richey, Julie N. 0000-0002-2319-7980 jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":174046,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tierney, Jessica E.","contributorId":177527,"corporation":false,"usgs":false,"family":"Tierney","given":"Jessica","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":656129,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179130,"text":"70179130 - 2016 - Barrier island breach evolution: Alongshore transport and bay-ocean pressure gradient interactions","interactions":[],"lastModifiedDate":"2017-01-27T11:20:11","indexId":"70179130","displayToPublicDate":"2016-12-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2321,"text":"Journal of Geophysical Research: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Barrier island breach evolution: Alongshore transport and bay-ocean pressure gradient interactions","docAbstract":"<p><span>Physical processes controlling repeated openings and closures of a barrier island breach between a bay and the open ocean are studied using aerial photographs and atmospheric and hydrodynamic observations. The breach site is located on Pea Island along the Outer Banks, separating Pamlico Sound from the Atlantic Ocean. Wind direction was a major control on the pressure gradients between the bay and the ocean to drive flows that initiate or maintain the breach opening. Alongshore sediment flux was found to be a major contributor to breach closure. During the analysis period from 2011 to 2016, three hurricanes had major impacts on the breach. First, Hurricane Irene opened the breach with wind-driven flow from bay to ocean in August 2011. Hurricane Sandy in October 2012 quadrupled the channel width from pressure gradient flows due to water levels that were first higher on the ocean side and then higher on the bay side. The breach closed sometime in Spring 2013, most likely due to an event associated with strong alongshore sediment flux but minimal ocean-bay pressure gradients. Then, in July 2014, Hurricane Arthur briefly opened the breach again from the bay side, in a similar fashion to Irene. In summary, opening and closure of breaches are shown to follow a dynamic and episodic balance between along-channel pressure gradient driven flows and alongshore sediment fluxes.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2016JC012029","usgsCitation":"Safak, I., Warner, J., and List, J.H., 2016, Barrier island breach evolution: Alongshore transport and bay-ocean pressure gradient interactions: Journal of Geophysical Research: Oceans, v. 121, no. 12, p. 8720-8730, https://doi.org/10.1002/2016JC012029.","productDescription":"11 p.","startPage":"8720","endPage":"8730","ipdsId":"IP-074360","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470317,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016jc012029","text":"External Repository"},{"id":332268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Pea Island","volume":"121","issue":"12","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-16","publicationStatus":"PW","scienceBaseUri":"58590007e4b03639a6025e23","contributors":{"authors":[{"text":"Safak, Ilgar 0000-0001-7675-0770 isafak@usgs.gov","orcid":"https://orcid.org/0000-0001-7675-0770","contributorId":5522,"corporation":false,"usgs":true,"family":"Safak","given":"Ilgar","email":"isafak@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"List, Jeffrey H. 0000-0001-8594-2491 jlist@usgs.gov","orcid":"https://orcid.org/0000-0001-8594-2491","contributorId":174581,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey","email":"jlist@usgs.gov","middleInitial":"H.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656126,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179087,"text":"70179087 - 2016 - Impacts of the <i>Deepwater Horizon</i> oil spill on deep-sea coral-associated sediment communities","interactions":[],"lastModifiedDate":"2016-12-15T13:29:18","indexId":"70179087","displayToPublicDate":"2016-12-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of the <i>Deepwater Horizon</i> oil spill on deep-sea coral-associated sediment communities","docAbstract":"<p><span>Cold-water corals support distinct populations of infauna within surrounding sediments that provide vital ecosystem functions and services in the deep sea. Yet due to their sedentary existence, infauna are vulnerable to perturbation and contaminant exposure because they are unable to escape disturbance events. While multiple deep-sea coral habitats were injured by the 2010 </span><i>Deepwater Horizon</i><span> (DWH) oil spill, the extent of adverse effects on coral-associated sediment communities is unknown. In 2011, sediments were collected adjacent to several coral habitats located 6 to 183 km from the wellhead in order to quantify the extent of impact of the DWH spill on infaunal communities. Higher variance in macrofaunal abundance and diversity, and different community structure (higher multivariate dispersion) were associated with elevated hydrocarbon concentrations and contaminants at sites closest to the wellhead (MC294, MC297, and MC344), consistent with impacts from the spill. In contrast, variance in meiofaunal diversity was not significantly related to distance from the wellhead and no other community metric (e.g. density or multivariate dispersion) was correlated with contaminants or hydrocarbon concentrations. Concentrations of polycyclic aromatic hydrocarbons (PAH) provided the best statistical explanation for observed macrofaunal community structure, while depth and presence of fine-grained mud best explained meiofaunal community patterns. Impacts associated with contaminants from the DWH spill resulted in a patchwork pattern of infaunal community composition, diversity, and abundance, highlighting the role of variability as an indicator of disturbance. These data represent a useful baseline for tracking post-spill recovery of these deep-sea communities.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps11905","usgsCitation":"Demopoulos, A.W., Bourque, J.R., Cordes, E.E., and Stamler, K., 2016, Impacts of the <i>Deepwater Horizon</i> oil spill on deep-sea coral-associated sediment communities: Marine Ecology Progress Series, v. 561, p. 51-68, https://doi.org/10.3354/meps11905.","productDescription":"18 p.","startPage":"51","endPage":"68","ipdsId":"IP-073329","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":332167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"561","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5853ba36e4b0e2663625f2a6","contributors":{"authors":[{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":145681,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bourque, Jill R. 0000-0003-3809-2601 jbourque@usgs.gov","orcid":"https://orcid.org/0000-0003-3809-2601","contributorId":5452,"corporation":false,"usgs":true,"family":"Bourque","given":"Jill","email":"jbourque@usgs.gov","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":656001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cordes, Erik E.","contributorId":37623,"corporation":false,"usgs":false,"family":"Cordes","given":"Erik","email":"","middleInitial":"E.","affiliations":[{"id":16710,"text":"Temple University, Department of Biology","active":true,"usgs":false}],"preferred":false,"id":656002,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stamler, Katherine kstamler@usgs.gov","contributorId":177508,"corporation":false,"usgs":true,"family":"Stamler","given":"Katherine","email":"kstamler@usgs.gov","affiliations":[],"preferred":true,"id":656003,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70182795,"text":"70182795 - 2016 - Quantifying chemical weathering rates along a precipitation gradient on Basse-Terre Island, French Guadeloupe: new insight from U-series isotopes in weathering rinds","interactions":[],"lastModifiedDate":"2017-03-01T11:28:13","indexId":"70182795","displayToPublicDate":"2016-12-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying chemical weathering rates along a precipitation gradient on Basse-Terre Island, French Guadeloupe: new insight from U-series isotopes in weathering rinds","docAbstract":"<p id=\"sp0005\">Inside soil and saprolite, rock fragments can form weathering clasts (alteration rinds surrounding an unweathered core) and these weathering rinds provide an excellent field system for investigating the initiation of weathering and long term weathering rates. Recently, uranium-series (U-series) disequilibria have shown great potential for determining rind formation rates and quantifying factors controlling weathering advance rates in weathering rinds. To further investigate whether the U-series isotope technique can document differences in long term weathering rates as a function of precipitation, we conducted a new weathering rind study on tropical volcanic Basse-Terre Island in the Lesser Antilles Archipelago. In this study, for the first time we characterized weathering reactions and quantified weathering advance rates in multiple weathering rinds across a steep precipitation gradient. Electron microprobe (EMP) point measurements, bulk major element contents, and U-series isotope compositions were determined in two weathering clasts from the Deshaies watershed with mean annual precipitation (MAP)&nbsp;=&nbsp;1800&nbsp;mm and temperature (MAT)&nbsp;=&nbsp;23&nbsp;°C. On these clasts, five core-rind transects were measured for locations with different curvature (high, medium, and low) of the rind-core boundary. Results reveal that during rind formation the fraction of elemental loss decreases in the order: Ca&nbsp;≈&nbsp;Na&nbsp;&gt;&nbsp;K&nbsp;≈&nbsp;Mg&nbsp;&gt;&nbsp;Si&nbsp;≈&nbsp;Al&nbsp;&gt;&nbsp;Zr&nbsp;≈&nbsp;Ti&nbsp;≈&nbsp;Fe. Such observations are consistent with the sequence of reactions after the initiation of weathering: specifically, glass matrix and primary minerals (plagioclase, pyroxene) weather to produce Fe oxyhydroxides, gibbsite and minor kaolinite.</p><p id=\"sp0010\">Uranium shows addition profiles in the rind due to the infiltration of U-containing soil pore water into the rind as dissolved U phases. U is then incorporated into the rind as Fe-Al oxides precipitate. Such processes lead to significant U-series isotope disequilibria in the rinds. This is the first time that multiple weathering clasts from the same watershed were analyzed for U-series isotope disequlibrian and show consistent results. The U-series disequilibria allowed for the determination of rind formation ages and weathering advance rates with a U-series mass balance model. The weathering advance rates generally decreased with decreasing curvature: ∼0.17&nbsp;±&nbsp;0.10&nbsp;mm/kyr for high curvature, ∼0.12&nbsp;±&nbsp;0.05&nbsp;mm/kyr for medium curvature, and ∼0.11&nbsp;±&nbsp;0.04, 0.08&nbsp;±&nbsp;0.03, 0.06&nbsp;±&nbsp;0.03&nbsp;mm/kyr for low curvature locations. The observed positive correlation between the curvature and the weathering rates is well supported by predictions of weathering models, i.e., that the curvature of the rind-core boundary controls the porosity creation and weathering advance rates at the clast scale.</p><p id=\"sp0015\">At the watershed scale, the new weathering advance rates derived on the low curvature transects for the relatively dry Deshaies watershed (average rate of 0.08&nbsp;mm/kyr; MAP&nbsp;=&nbsp;1800&nbsp;mm and MAT&nbsp;=&nbsp;23&nbsp;°C) are ∼60% slower than the rind formation rates previously determined in the much wetter Bras David watershed (∼0.18&nbsp;mm/kyr, low curvature transect; MAP&nbsp;=&nbsp;3400&nbsp;mm and MAT&nbsp;=&nbsp;23&nbsp;°C) also on Basse-Terre Island. Thus, a doubling of MAP roughly correlates with a doubling of weathering advance rate. The new rind study highlights the effect of precipitation on weathering rates over a time scale of ∼100&nbsp;kyr. Weathering rinds are thus a suitable system for investigating long-term chemical weathering across environmental gradients, complementing short-term riverine solute fluxes.</p>","language":"English","publisher":"Elsevier ","doi":"10.1016/j.gca.2016.08.040","usgsCitation":"Engel, J.M., May, L., Sak, P.B., Gaillardet, J., Ren, M., Engle, M.A., and Brantley, S.L., 2016, Quantifying chemical weathering rates along a precipitation gradient on Basse-Terre Island, French Guadeloupe: new insight from U-series isotopes in weathering rinds: Geochimica et Cosmochimica Acta, v. 195, p. 29-67, https://doi.org/10.1016/j.gca.2016.08.040.","productDescription":"39 p. ","startPage":"29","endPage":"67","ipdsId":"IP-079894","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":470323,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2016.08.040","text":"Publisher Index Page"},{"id":336736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"France","otherGeospatial":"Basse-Terre Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -61.74316406249999,\n              16.375485785675078\n            ],\n            [\n              -61.78985595703124,\n              16.36230951024085\n            ],\n            [\n              -61.83380126953125,\n              16.304323337114724\n            ],\n            [\n              -61.8145751953125,\n              16.254230549391156\n            ],\n            [\n              -61.7926025390625,\n              16.172472808397515\n            ],\n            [\n              -61.776123046875,\n              16.024695711685315\n            ],\n            [\n              -61.70471191406251,\n              15.93227933760862\n            ],\n            [\n              -61.54815673828124,\n              16.000935579586685\n            ],\n            [\n              -61.54541015625,\n              16.241046112641847\n            ],\n            [\n              -61.60034179687499,\n              16.375485785675078\n            ],\n            [\n              -61.74316406249999,\n              16.375485785675078\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"195","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba4e4b01ccd5500bae7","contributors":{"authors":[{"text":"Engel, Jacqueline M.","contributorId":184197,"corporation":false,"usgs":false,"family":"Engel","given":"Jacqueline","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":673768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"May, Linda","contributorId":150287,"corporation":false,"usgs":false,"family":"May","given":"Linda","email":"","affiliations":[{"id":17963,"text":"Centre for Ecology and Hydrology, Bush Estate, Midlothian, Scotland, UK","active":true,"usgs":false}],"preferred":false,"id":673769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sak, Peter B.","contributorId":184198,"corporation":false,"usgs":false,"family":"Sak","given":"Peter","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":673770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaillardet, Jerome","contributorId":184199,"corporation":false,"usgs":false,"family":"Gaillardet","given":"Jerome","email":"","affiliations":[],"preferred":false,"id":673771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ren, Minghua","contributorId":184200,"corporation":false,"usgs":false,"family":"Ren","given":"Minghua","email":"","affiliations":[],"preferred":false,"id":673772,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":673767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brantley, Susan L. 0000-0003-4320-2342","orcid":"https://orcid.org/0000-0003-4320-2342","contributorId":184201,"corporation":false,"usgs":false,"family":"Brantley","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":673773,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70181017,"text":"70181017 - 2016 - The chemistry and isotopic composition of waters in the low-enthalpy geothermal system of Cimino-Vico Volcanic District, Italy","interactions":[],"lastModifiedDate":"2021-08-24T14:13:55.122037","indexId":"70181017","displayToPublicDate":"2016-12-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"The chemistry and isotopic composition of waters in the low-enthalpy geothermal system of Cimino-Vico Volcanic District, Italy","docAbstract":"<p><span>Geothermal energy exploration is based in part on interpretation of the chemistry, temperature, and discharge rate of thermal springs. Here we present the major element chemistry and the δD, δ</span><sup>18</sup><span>O, </span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr and δ</span><sup>11</sup><span>B isotopic ratio of groundwater from the low-enthalpy geothermal system near the city of Viterbo in the Cimino-Vico volcanic district of west-Central Italy. The geothermal system hosts many thermal springs and gas vents, but the resource is still unexploited. Water chemistry is controlled by mixing between low salinity,HCO</span><sub>3</sub><span>-rich fresh waters (&lt;24.2°C) flowing in shallow volcanic rocks and SO</span><sub>4</sub><span>-rich thermal waters (25.3°C to 62.2°C) ascending from deep, high permeability Mesozoic limestones. The (equivalent) SO</span><sub>4</sub><span>/Cl (0.01–0.02), Na/Cl (2.82–5.83) and B/Cl ratios (0.02–0.38) of thermal waters differs from the ratios in other geothermal systems from Central Italy, probably implying a lack of hydraulic continuity across the region. The δ</span><sup>18</sup><span>O (−6.6‰ to −5.9‰) and δD (−40.60‰ to −36.30‰) isotopic composition of spring water suggest that the recharge area for the geothermal system is the summit region of Mount Cimino. The strontium isotope ratios (</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr) of thermal waters (0.70797–0.70805) are consistent with dissolution of the Mesozoic evaporite-carbonate units that constitute the reservoir, and the ratios of cold fresh waters mainly reflect shallow circulation through the volcanic cover and some minor admixture (&lt;10%) of thermal water as well. The boron isotopic composition (δ</span><sup>11</sup><span>B) of fresh waters (−5.00 and 6.12‰) is similar to that of the volcanic cover, but the δ</span><sup>11</sup><span>B of thermal waters (−8.37‰ to −4.12‰) is a mismatch for the Mesozoic reservoir rocks and instead reflects dissolution of secondary boron minerals during fluid ascent through flysch units that overlie the reservoir. A slow and tortuous ascent enhances extraction of boron but also promotes conductive cooling, partially masking the heat present in the reservoir. Overall data from this study is consistent with previous studies that concluded that the geothermal system has a large energy potential.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2016.11.005","usgsCitation":"Battistel, M., Hurwitz, S., Evans, W., and Barbieri, M., 2016, The chemistry and isotopic composition of waters in the low-enthalpy geothermal system of Cimino-Vico Volcanic District, Italy: Journal of Volcanology and Geothermal Research, v. 328, p. 222-229, https://doi.org/10.1016/j.jvolgeores.2016.11.005.","productDescription":"8 p.","startPage":"222","endPage":"229","ipdsId":"IP-081169","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470326,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://orbit.dtu.dk/en/publications/48cf1921-ae5b-4f03-9645-430037005165","text":"Publisher Index Page"},{"id":335170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              11.77459716796875,\n              42.01869237684385\n            ],\n            [\n              11.77459716796875,\n              42.76516228327469\n            ],\n            [\n              12.66998291015625,\n              42.76516228327469\n            ],\n            [\n              12.66998291015625,\n              42.01869237684385\n            ],\n            [\n              11.77459716796875,\n              42.01869237684385\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"328","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"589ffee1e4b099f50d3e043a","contributors":{"authors":[{"text":"Battistel, Maria","contributorId":179320,"corporation":false,"usgs":false,"family":"Battistel","given":"Maria","email":"","affiliations":[],"preferred":false,"id":663302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":663300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, William 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":179319,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":663301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barbieri, Maurizio","contributorId":179321,"corporation":false,"usgs":false,"family":"Barbieri","given":"Maurizio","email":"","affiliations":[],"preferred":false,"id":663303,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178343,"text":"sir20165160 - 2016 - Estimated nitrogen and phosphorus inputs to the Fish Creek watershed, Teton County, Wyoming, 2009–15","interactions":[],"lastModifiedDate":"2017-01-04T09:00:15","indexId":"sir20165160","displayToPublicDate":"2016-12-15T00:00:00","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":"2016-5160","title":"Estimated nitrogen and phosphorus inputs to the Fish Creek watershed, Teton County, Wyoming, 2009–15","docAbstract":"<p>Nutrients, such as nitrogen and phosphorus, are essential for plant and animal growth and nourishment, but the overabundance of bioavailable nitrogen and phosphorus in water can cause adverse health and ecological effects. It is generally accepted that increased primary production of surface-water bodies because of high inputs of nutrients is now the most important polluting effect in surface water in the developed world.</p><p></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165160","collaboration":"Prepared in cooperation with Teton Conservation District","usgsCitation":"Eddy-Miller, C.A., Sando, Roy, MacDonald, M.J., and Girard, C.E., 2016, Estimated nitrogen and phosphorus inputs to the Fish Creek watershed, Teton County, Wyoming, 2009–15: U.S. Geological Survey Scientific Investigations Report 2016–5160, 29 p., https://doi.org/10.3133/sir20165160.","productDescription":"viii, 29 p.","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-077799","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":438484,"rank":3,"type":{"id":30,"text":"Data 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PSC"},"publishedDate":"2016-12-15","noUsgsAuthors":false,"publicationDate":"2016-12-15","publicationStatus":"PW","scienceBaseUri":"5853ba3ce4b0e2663625f2b0","contributors":{"authors":[{"text":"Eddy-Miller, Cheryl A.","contributorId":86755,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl A.","affiliations":[],"preferred":false,"id":653656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":26230,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":false,"id":653657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacDonald, Michael J.","contributorId":176837,"corporation":false,"usgs":false,"family":"MacDonald","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":653658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Girard, Carlin","contributorId":176838,"corporation":false,"usgs":false,"family":"Girard","given":"Carlin","email":"","affiliations":[],"preferred":false,"id":653659,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178056,"text":"sir20165144 - 2016 - Occurrence, distribution, and volume of metals-contaminated sediment of selected streams draining the Tri-State Mining District, Missouri, Oklahoma, and Kansas, 2011–12","interactions":[],"lastModifiedDate":"2025-05-15T13:28:14.577692","indexId":"sir20165144","displayToPublicDate":"2016-12-14T00:00:00","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":"2016-5144","title":"Occurrence, distribution, and volume of metals-contaminated sediment of selected streams draining the Tri-State Mining District, Missouri, Oklahoma, and Kansas, 2011–12","docAbstract":"<p>Lead and zinc were mined in the Tri-State Mining District (TSMD) of southwest Missouri, northeast Oklahoma, and southeast Kansas for more than 100 years. The effects of mining on the landscape are still evident, nearly 50 years after the last mine ceased operation. The legacies of mining are the mine waste and discharge of groundwater from underground mines. The mine-waste piles and underground mines are continuous sources of trace metals (primarily lead, zinc, and cadmium) to the streams that drain the TSMD. Many previous studies characterized the horizontal extent of mine-waste contamination in streams but little information exists on the depth of mine-waste contamination in these streams. Characterizing the vertical extent of contamination is difficult because of the large amount of coarse-grained material, ranging from coarse gravel to boulders, within channel sediment. The U.S. Geological Survey, in cooperation with U.S. Fish and Wildlife service, collected channel-sediment samples at depth for subsequent analyses that would allow attainment of the following goals: (1) determination of the relation between concentration and depth for lead, zinc and cadmium in channel sediments and flood-plain sediments, and (2) determination of the volume of gravel-bar sediment from the surface to the maximum depth with concentrations of these metals that exceeded sediment-quality guidelines. For the purpose of this report, volume of gravel-bar sediment is considered to be distributed in two forms, gravel bars and the wetted channel, and this study focused on gravel bars. Concentrations of lead, zinc, and cadmium in samples were compared to the consensus probable effects concentration (CPEC) and Tri-State Mining District specific probable effects concentration (TPEC) sediment-quality guidelines.</p><p>During the study, more than 700 sediment samples were collected from borings at multiple sites, including gravel bars and flood plains, along Center Creek, Turkey Creek, Shoal Creek, Tar Creek, and Spring River in order to characterize the vertical extent of mine waste in select streams in the TSMD. The largest concentrations of lead, zinc, and cadmium in gravel bar-sediment samples generally were detected in Turkey Creek and Tar Creek and the smallest concentrations were detected in Shoal Creek followed by the Spring River. Gravel bar-sediment samples from Turkey Creek exceeded the CPEC for cadmium (minimum of 70 percent of samples), lead (94 percent), and zinc (99 percent) at a slightly higher frequency than similar samples from Tar Creek (69 percent, 88 percent, and 96 percent, respectively). Gravel bar-sediment samples from Turkey Creek also contained the largest concentrations of cadmium (174 milligrams per kilogram [mg/kg]) and lead (7,520 mg/kg) detected; however, the largest zinc concentration (46,600 mg/kg) was detected in a gravel bar-sediment sample from Tar Creek. In contrast, none of the 65 gravel bar-sediment samples from Shoal Creek contained cadmium above the x-ray fluorescence reporting level of 12 mg/kg, and lead and zinc exceeded the CPEC in only 12 percent and 74 percent of samples, respectively. In most cases, concentrations of lead and zinc above the CPEC or TPEC were present at the maximum depth of boring, which indicated that nearly the entire thickness of sediment in the stream has been contaminated by mine wastes. Approximately 284,000 cubic yards of channel sediment from land surface to the maximum depth that exceeded the CPEC and approximately 236,000 cubic yards of channel sediment from land surface to the maximum depth that exceeded the TPEC were estimated along 37.6 of the 55.1 miles of Center Creek, Turkey Creek, Shoal Creek, and Tar Creek examined in this study. Mine-waste contamination reported along additional reaches of these streams is beyond the scope of this study. Flood-plain cores collected in the TSMD generally only had exceedances of the CPEC and TPEC for lead and zinc in the top 1 or 2 feet of soil with a few exceptions, such as cores in low areas near the stream or cores in areas disturbed by past mining.</p><p><br data-mce-bogus=\"1\"></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165144","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Smith, D.C., 2016, Occurrence, distribution, and volume of metals-contaminated sediment of selected streams draining the Tri-State Mining District, Missouri, Oklahoma, and Kansas, 2011–12: U.S. Geological Survey Scientific Investigations Report 2016–5144, 86 p., https://dx.doi.org/10.3133/sir20165144.","productDescription":"Report: ix, 86 p.; 2 Data Releases","numberOfPages":"86","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076581","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":332138,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5144/coverthb.jpg"},{"id":332139,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5144/sir20165144.pdf","text":"Report","size":"7.68 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5144"},{"id":332140,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7CZ359X","text":"USGS data release - Metals and Other Constituent Concentrations in Sediment of Selected Streams Draining the Tri-State Mining District, Missouri, Oklahoma, and Kansas, 2011–12","description":"USGS Data Release"},{"id":438487,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CZ359X","text":"USGS data release","linkHelpText":"Metals and Other Constituent Concentrations in Sediment of Selected Streams Draining the Tri-State Mining District, Missouri, Oklahoma, and Kansas, 201112"}],"country":"United States","state":"Kansas, Missouri, Oklahoma","otherGeospatial":"Tri-State Mining District","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.95,\n              36.66\n            ],\n            [\n              -94.95,\n              37.41\n            ],\n            [\n              -94.3,\n              37.41\n            ],\n            [\n              -94.3,\n              36.66\n            ],\n            [\n              -94.95,\n              36.66\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Missouri Water Science Center <br>U.S. Geological Survey<br>1400 Independence Road <br>Rolla, MO 65401</p><p><a href=\"http://mo.water.usgs.gov/\" data-mce-href=\"http://mo.water.usgs.gov/\">http://mo.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methodology<br></li><li>Quality Control and Quality Assurance<br></li><li>Occurrence, Distribution, and Volume of Metals-Contaminated Sediment<br></li><li>Summary and Conclusions<br></li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-12-14","noUsgsAuthors":false,"publicationDate":"2016-12-14","publicationStatus":"PW","scienceBaseUri":"585268dfe4b0e2663625ec80","contributors":{"authors":[{"text":"Smith, D. Charlie davidsmith@usgs.gov","contributorId":176525,"corporation":false,"usgs":true,"family":"Smith","given":"D.","email":"davidsmith@usgs.gov","middleInitial":"Charlie","affiliations":[],"preferred":false,"id":652665,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70178248,"text":"ofr20161194 - 2016 - Collection, processing, and quality assurance of time-series electromagnetic-induction log datasets, 1995–2016, south Florida","interactions":[],"lastModifiedDate":"2016-12-13T16:19:43","indexId":"ofr20161194","displayToPublicDate":"2016-12-13T00:00:00","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":"2016-1194","title":"Collection, processing, and quality assurance of time-series electromagnetic-induction log datasets, 1995–2016, south Florida","docAbstract":"<p>Time-series electromagnetic-induction log (TSEMIL) datasets are collected from polyvinyl-chloride cased or uncased monitoring wells to evaluate changes in water conductivity over time. TSEMIL datasets consist of a series of individual electromagnetic-induction logs, generally collected at a frequency of once per month or once per year that have been compiled into a dataset by eliminating small uniform offsets in bulk conductivity between logs probably caused by minor variations in calibration. These offsets are removed by selecting a depth at which no changes are apparent from year to year, and by adjusting individual logs to the median of all logs at the selected depth. Generally, the selected depths are within the freshwater saturated part of the aquifer, well below the water table. TSEMIL datasets can be used to monitor changes in water conductivity throughout the full thickness of an aquifer, without the need for long open-interval wells which have, in some instances, allowed vertical water flow within the well bore that has biased water conductivity profiles. The TSEMIL dataset compilation process enhances the ability to identify small differences between logs that were otherwise obscured by the offsets. As a result of TSEMIL dataset compilation, the root mean squared error of the linear regression between bulk conductivity of the electromagnetic-induction log measurements and the chloride concentration of water samples decreased from 17.4 to 1.7 millisiemens per meter in well G–3611 and from 3.7 to 2.2 millisiemens per meter in well G–3609. The primary use of the TSEMIL datasets in south Florida is to detect temporal changes in bulk conductivity associated with saltwater intrusion in the aquifer; however, other commonly observed changes include (1) variations in bulk conductivity near the water table where water saturation of pore spaces might vary and water temperature might be more variable, and (2) dissipation of conductive water in high-porosity rock layers, which might have entered these layers during drilling. Although TSEMIL dataset processing of even a few logs improves evaluations of the differences between the logs that are related to changes in the salinity, about 16 logs are needed to estimate the bulk conductivity within ±2 millisiemens per meter. Unlike many other types of data published by the U.S. Geological Survey, the median of TSEMIL datasets should not be considered final until 16 logs are collected and the median of the dataset is stable.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161194","usgsCitation":"Prinos, S.T., and Valderrama, Robert, 2016, Collection, processing, and quality assurance of time-series electromagnetic-induction log datasets, 1995–2016, south Florida: U.S. Geological Survey Open-File Report 2016–1194, 24 p., https://doi.org/10.3133/ofr20161194.","productDescription":"Report: vii, 24 p.; Data Release","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-069121","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":438492,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92Y62KV","text":"USGS data release","linkHelpText":"Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2018 Water Year in South Florida"},{"id":438491,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70R9NPF","text":"USGS data release","linkHelpText":"Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2017 Water Year in South Florida"},{"id":438490,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BG2MWD","text":"USGS data release","linkHelpText":"Time Series Electromagnetic Induction-Log Datasets, Including LogsCollected through the 2016 Water Year in South Florida"},{"id":332010,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F78W3BF5","text":"USGS data release - Time Series Electromagnetic Induction Log datasets","description":"USGS Data Release"},{"id":331983,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1194/coverthb.jpg"},{"id":331984,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1194/ofr20161194.pdf","text":"Report","size":"7.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1194"}],"country":"United States","state":"Florida","county":"Broward County, Glades County, Hendry County, Martin County, Miami-Dade County, Palm Beach County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.584716796875,\n              28.19792655722615\n            ],\n            [\n              -80.2001953125,\n              27.430289738862594\n            ],\n            [\n              -79.95849609375,\n              26.362342068998764\n            ],\n            [\n              -80.04638671875,\n              25.97779895546436\n            ],\n            [\n              -80.167236328125,\n              25.53252846853444\n            ],\n            [\n              -80.474853515625,\n              25.11544539706194\n            ],\n            [\n              -80.6396484375,\n              25.60190226111573\n            ],\n            [\n              -80.96923828125,\n              26.49024045886963\n            ],\n            [\n              -81.4306640625,\n              26.37218544169559\n            ],\n            [\n              -81.661376953125,\n              27.059125784374068\n            ],\n            [\n              -81.84814453125,\n              27.49852672279832\n            ],\n            [\n              -80.584716796875,\n              28.19792655722615\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Caribbean-Florida Water Science Center<br>U.S. Geological Survey<br>4446 Pet Lane, Suite 108<br>Lutz, FL 33559</p><p><a href=\"http://fl.water.usgs.gov/\" data-mce-href=\"http://fl.water.usgs.gov/\">http://fl.water.usgs.gov</a>/</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Electromagnetic Induction Logging<br></li><li>Processing of Time-Series Electromagnetic-Induction Log Datasets<br></li><li>Presentation of Time-Series Electromagnetic-Induction Log Datasets<br></li><li>Summary<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2016-12-13","noUsgsAuthors":false,"publicationDate":"2016-12-13","publicationStatus":"PW","scienceBaseUri":"585116bae4b08138bf1abd4c","contributors":{"authors":[{"text":"Prinos, Scott T. 0000-0002-5776-8956 stprinos@usgs.gov","orcid":"https://orcid.org/0000-0002-5776-8956","contributorId":4045,"corporation":false,"usgs":true,"family":"Prinos","given":"Scott","email":"stprinos@usgs.gov","middleInitial":"T.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true},{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":653366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valderrama, Robert 0000-0001-7127-8470 rvalder@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-8470","contributorId":139264,"corporation":false,"usgs":true,"family":"Valderrama","given":"Robert","email":"rvalder@usgs.gov","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true},{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":653367,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178140,"text":"sir20165153 - 2016 - Groundwater-flow model of the northern High Plains aquifer in Colorado, Kansas, Nebraska, South Dakota, and Wyoming","interactions":[],"lastModifiedDate":"2016-12-13T16:12:20","indexId":"sir20165153","displayToPublicDate":"2016-12-13T00:00:00","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":"2016-5153","title":"Groundwater-flow model of the northern High Plains aquifer in Colorado, Kansas, Nebraska, South Dakota, and Wyoming","docAbstract":"<p>The High Plains aquifer is a nationally important water resource underlying about 175,000 square miles in parts of eight states: Colorado, Kansas, Oklahoma, Nebraska, New Mexico, South Dakota, Texas, and Wyoming. Droughts across much of the Northern High Plains from 2001 to 2007 have combined with recent (2004) legislative mandates to elevate concerns regarding future availability of groundwater and the need for additional information to support science-based water-resource management. To address these needs, the U.S. Geological Survey began the High Plains Groundwater Availability Study to provide a tool for water-resource managers and other stakeholders to assess the status and availability of groundwater resources.</p><p>A transient groundwater-flow model was constructed using the U.S. Geological Survey modular three-dimensional finite-difference groundwater-flow model with Newton-Rhapson solver (MODFLOW–NWT). The model uses an orthogonal grid of 565 rows and 795 columns, and each grid cell measures 3,281 feet per side, with one variably thick vertical layer, simulated as unconfined. Groundwater flow was simulated for two distinct periods: (1) the period before substantial groundwater withdrawals, or before about 1940, and (2) the period of increasing groundwater withdrawals from May 1940 through April 2009. A soil-water-balance model was used to estimate recharge from precipitation and groundwater withdrawals for irrigation. The soil-water-balance model uses spatially distributed soil and landscape properties with daily weather data and estimated historical land-cover maps to calculate spatial and temporal variations in potential recharge. Mean annual recharge estimated for 1940–49, early in the history of groundwater development, and 2000–2009, late in the history of groundwater development, was 3.3 and 3.5 inches per year, respectively.</p><p>Primary model calibration was completed using statistical techniques through parameter estimation using the parameter estimation suite of software with Tikhonov regularization. Calibration targets for the groundwater model included 343,067 groundwater levels measured in wells and 10,820 estimated monthly stream base flows at streamgages. A total of 1,312 parameters were adjusted during calibration to improve the match between calibration targets and simulated equivalents. Comparison of calibration targets to simulated equivalents indicated that, at the regional scale, the model correctly reproduced groundwater levels and stream base flows for 1940–2009. This comparison indicates that the model can be used to examine the likely response of the aquifer system to potential future stresses.</p><p>Mean calibrated recharge for 1940–49 and 2000–2009 was smaller than that estimated with the soil-water-balance model. This indicated that although the general spatial patterns of recharge estimated with the soil-water-balance model were approximately correct at the regional scale of the Northern High Plains aquifer, the soil-water-balance model had overestimated recharge, and adjustments were needed to decrease recharge to improve the match of the groundwater model to calibration targets. The largest components of the simulated groundwater budgets were recharge from precipitation, recharge from canal seepage, outflows to evapotranspiration, and outflows to stream base flow. Simulated outflows to irrigation wells increased from 7 percent of total outflows in 1940–49 to 38 percent of 1970–79 total outflows and 49 percent of 2000–2009 total outflows.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165153","usgsCitation":"Peterson, S.M., Flynn, A.T., and Traylor, J.P., 2016, Groundwater-flow model of the Northern High Plains aquifer in Colorado, Kansas, Nebraska, South Dakota, and Wyoming: U.S. Geological Survey Scientific Investigations Report 2016–5153, 88 p., https://doi.org/10.3133/sir20165153.","productDescription":"Report: x, 88 p.; 2 Figures: 11.00 x 8.50 inches; 2 Data Releases","numberOfPages":"102","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-070028","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":331684,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5153/sir20165153_fig15.pdf","text":"Figure 15","size":"9.23 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5153 Figure 15"},{"id":331685,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K072C9","text":"USGS data release - Base of aquifer contours for the Northern High Plains aquifer","description":"USGS Data Release"},{"id":331683,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5153/sir20165153_fig14.pdf","text":"Figure 14","size":"988 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5153 Figure 14"},{"id":331686,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JS9NKD","text":"USGS data release - MODFLOW-NWT groundwater flow model used to evaluate conditions in the Northern High Plains Aquifer in Colorado, Kansas, Nebraska, South Dakota, and Wyoming","description":"USGS Data Release"},{"id":331678,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5153/sir20165153.pdf","text":"Report","size":"36.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5153"},{"id":331677,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5153/coverthb.jpg"}],"country":"United States","state":"Colorado, Kansas, Nebraska, South Dakota, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106,\n              38\n            ],\n            [\n              -106,\n              44\n            ],\n            [\n              -96,\n              44\n            ],\n            [\n              -96,\n              38\n            ],\n            [\n              -106,\n              38\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publicComments":"Water Availability and Use Science Program","contact":"<p>Director, Nebraska Water Science Center <br>U.S. Geological Survey<br>5231 South 19th Street <br>Lincoln, NE 68512</p><p><a href=\"http://ne.water.usgs.gov\" data-mce-href=\"http://ne.water.usgs.gov\">http://ne.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Groundwater-Flow Model<br></li><li>Potential Topics for Additional Study<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix 1. Supplemental Information on Estimated and Simulated Stream Base Flow for 1940–2009<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-12-13","noUsgsAuthors":false,"publicationDate":"2016-12-13","publicationStatus":"PW","scienceBaseUri":"585116bae4b08138bf1abd4e","contributors":{"authors":[{"text":"Peterson, Steven M. 0000-0002-9130-1284 speterson@usgs.gov","orcid":"https://orcid.org/0000-0002-9130-1284","contributorId":847,"corporation":false,"usgs":true,"family":"Peterson","given":"Steven","email":"speterson@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flynn, Amanda T. aflynn@usgs.gov","contributorId":4411,"corporation":false,"usgs":true,"family":"Flynn","given":"Amanda","email":"aflynn@usgs.gov","middleInitial":"T.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":false,"id":652978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Traylor, Jonathan P. 0000-0002-2008-1923 jtraylor@usgs.gov","orcid":"https://orcid.org/0000-0002-2008-1923","contributorId":5322,"corporation":false,"usgs":true,"family":"Traylor","given":"Jonathan","email":"jtraylor@usgs.gov","middleInitial":"P.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652979,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178942,"text":"70178942 - 2016 - Efficacy of environmental DNA to detect and quantify Brook Trout populations in headwater streams of the Adirondack Mountains, New York","interactions":[],"lastModifiedDate":"2016-12-13T11:33:03","indexId":"70178942","displayToPublicDate":"2016-12-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of environmental DNA to detect and quantify Brook Trout populations in headwater streams of the Adirondack Mountains, New York","docAbstract":"<p><span>Environmental DNA (eDNA) analysis is rapidly evolving as a tool for monitoring the distributions of aquatic species. Detection of species’ populations in streams may be challenging because the persistence time for intact DNA fragments is unknown and because eDNA is diluted and dispersed by dynamic hydrological processes. During 2015, the DNA of Brook Trout </span><i>Salvelinus fontinalis</i><span> was analyzed from water samples collected at 40 streams across the Adirondack region of upstate New York, where Brook Trout populations were recently quantified. Study objectives were to evaluate different sampling methods and the ability of eDNA to accurately predict the presence and abundance of resident Brook Trout populations. Results from three-pass electrofishing surveys indicated that Brook Trout were absent from 10 sites and were present in low (&lt;100 fish/0.1&nbsp;ha), moderate (100–300 fish/0.1&nbsp;ha), and high (&gt;300 fish/0.1&nbsp;ha) densities at 9, 11, and 10 sites, respectively. The eDNA results correctly predicted the presence and confirmed the absence of Brook Trout at 85.0–92.5% of the study sites; eDNA also explained 44% of the variability in Brook Trout population density and 24% of the variability in biomass. These findings indicate that eDNA surveys will enable researchers to effectively characterize the presence and abundance of Brook Trout and other species’ populations in headwater streams across the Adirondack region and elsewhere.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2016.1243578","usgsCitation":"Baldigo, B.P., Sporn, L., George, S.D., and Ball, J., 2016, Efficacy of environmental DNA to detect and quantify Brook Trout populations in headwater streams of the Adirondack Mountains, New York: Transactions of the American Fisheries Society, v. 146, no. 1, p. 99-111, https://doi.org/10.1080/00028487.2016.1243578.","productDescription":"13 p.","startPage":"99","endPage":"111","ipdsId":"IP-071778","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":470327,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00028487.2016.1243578","text":"Publisher Index Page"},{"id":438489,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78913ZC","text":"USGS data release","linkHelpText":"Community composition data for assessing fish populations in headwater streams of the Adirondack Mountains, New York, USA"},{"id":332019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.4376220703125,\n              43.40305202432616\n            ],\n            [\n              -75.4376220703125,\n              44.3002644115815\n            ],\n            [\n              -73.751220703125,\n              44.3002644115815\n            ],\n            [\n              -73.751220703125,\n              43.40305202432616\n            ],\n            [\n              -75.4376220703125,\n              43.40305202432616\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"146","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-06","publicationStatus":"PW","scienceBaseUri":"585116bae4b08138bf1abd4a","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sporn, Lee Ann","contributorId":177388,"corporation":false,"usgs":false,"family":"Sporn","given":"Lee Ann","affiliations":[],"preferred":false,"id":655604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ball, Jacob","contributorId":177389,"corporation":false,"usgs":false,"family":"Ball","given":"Jacob","email":"","affiliations":[],"preferred":false,"id":655606,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179023,"text":"70179023 - 2016 - Changing agricultural practices: Potential consequences to aquatic organisms","interactions":[],"lastModifiedDate":"2018-08-09T12:05:12","indexId":"70179023","displayToPublicDate":"2016-12-13T00:00:00","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":"Changing agricultural practices: Potential consequences to aquatic organisms","docAbstract":"<p><span>Agricultural practices pose threats to biotic diversity in freshwater systems with increasing use of glyphosate-based herbicides for weed control and animal waste for soil amendment becoming common in many regions. Over the past two decades, these particular agricultural trends have corresponded with marked declines in populations of fish and mussel species in the Upper Conasauga River watershed in Georgia/Tennessee, USA. To investigate the potential role of agriculture in the population declines, surface waters and sediments throughout the basin were tested for toxicity and analyzed for glyphosate, metals, nutrients, and steroid hormones. Assessments of chronic toxicity with </span><i class=\"EmphasisTypeItalic \">Ceriodaphnia dubia</i><span> and </span><i class=\"EmphasisTypeItalic \">Hyalella azteca</i><span> indicated that few water or sediment samples were harmful and metal concentrations were generally below impairment levels. Glyphosate was not observed in surface waters, although its primary degradation product, aminomethyl phosphonic acid (AMPA), was detected in 77% of the samples (mean&nbsp;=&nbsp;509&nbsp;μg/L, </span><i class=\"EmphasisTypeItalic \">n</i><span>&nbsp;=&nbsp;99) and one or both compounds were measured in most sediment samples. Waterborne AMPA concentrations supported an inference that surfactants associated with glyphosate may be present at levels sufficient to affect early life stages of mussels. Nutrient enrichment of surface waters was widespread with nitrate (mean&nbsp;=&nbsp;0.7&nbsp;mg NO</span><sub>3</sub><span>-N/L, </span><i class=\"EmphasisTypeItalic \">n</i><span>&nbsp;=&nbsp;179) and phosphorus (mean&nbsp;=&nbsp;275&nbsp;μg/L, </span><i class=\"EmphasisTypeItalic \">n</i><span>&nbsp;=&nbsp;179) exceeding levels associated with eutrophication. Hormone concentrations in sediments were often above those shown to cause endocrine disruption in fish and appear to reflect the widespread application of poultry litter and manure. Observed species declines may be at least partially due to hormones, although excess nutrients and herbicide surfactants may also be implicated.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-016-5691-7","usgsCitation":"Lasier, P.J., Urich, M.L., Hassan, S.M., Jacobs, W.N., Bringolf, R.B., and Owens, K.M., 2016, Changing agricultural practices: Potential consequences to aquatic organisms: Environmental Monitoring and Assessment, v. 188, p. 1-17, https://doi.org/10.1007/s10661-016-5691-7.","productDescription":"Article 672; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-070145","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":332084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"188","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-15","publicationStatus":"PW","scienceBaseUri":"585116b8e4b08138bf1abd46","contributors":{"authors":[{"text":"Lasier, Peter J.","contributorId":6178,"corporation":false,"usgs":true,"family":"Lasier","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":655832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Urich, Matthew L.","contributorId":127367,"corporation":false,"usgs":false,"family":"Urich","given":"Matthew","email":"","middleInitial":"L.","affiliations":[{"id":6918,"text":"Georgia","active":true,"usgs":false}],"preferred":false,"id":655833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hassan, Sayed M.","contributorId":90027,"corporation":false,"usgs":true,"family":"Hassan","given":"Sayed","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobs, Whitney N.","contributorId":177444,"corporation":false,"usgs":false,"family":"Jacobs","given":"Whitney","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":655835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bringolf, Robert B.","contributorId":139241,"corporation":false,"usgs":true,"family":"Bringolf","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":655836,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Owens, Kathleen M.","contributorId":177445,"corporation":false,"usgs":false,"family":"Owens","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655837,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179019,"text":"70179019 - 2016 - The estimated six-year mercury dry deposition across North America","interactions":[],"lastModifiedDate":"2017-05-11T15:18:47","indexId":"70179019","displayToPublicDate":"2016-12-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"The estimated six-year mercury dry deposition across North America","docAbstract":"<p><span>Dry deposition of atmospheric mercury (Hg) to various land covers surrounding 24 sites in North America was estimated for the years 2009 to 2014. Depending on location, multiyear mean annual Hg dry deposition was estimated to range from 5.1 to 23.8 μg m</span><sup>–2</sup><span> yr</span><sup>–1</sup><span> to forested canopies, 2.6 to 20.8 μg m</span><sup>–2</sup><span> yr</span><sup>–1</sup><span> to nonforest vegetated canopies, 2.4 to 11.2 μg m</span><sup>–2</sup><span> yr</span><sup>–1</sup><span> to urban and built up land covers, and 1.0 to 3.2 μg m</span><sup>–2</sup><span> yr</span><sup>–1</sup><span> to water surfaces. In the rural or remote environment in North America, annual Hg dry deposition to vegetated surfaces is dominated by leaf uptake of gaseous elemental mercury (GEM), contrary to what was commonly assumed in earlier studies which frequently omitted GEM dry deposition as an important process. Dry deposition exceeded wet deposition by a large margin in all of the seasons except in the summer at the majority of the sites. GEM dry deposition over vegetated surfaces will not decrease at the same pace, and sometimes may even increase with decreasing anthropogenic emissions, suggesting that Hg emission reductions should be a long-term policy sustained by global cooperation.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b04276","usgsCitation":"Zhang, L., Wu, Z., Cheng, I., Wright, L.P., Olson, M.L., Gay, D., Risch, M.R., Brooks, S., Castro, M.S., Conley, G.D., Edgerton, E.S., Holsen, T.M., Luke, W., Tordon, R., and Weiss-Penzias, P., 2016, The estimated six-year mercury dry deposition across North America: Environmental Science & Technology, v. 50, no. 23, p. 12864-12873, https://doi.org/10.1021/acs.est.6b04276.","productDescription":"10 p.","startPage":"12864","endPage":"12873","ipdsId":"IP-078907","costCenters":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":470328,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/66096","text":"External Repository"},{"id":332050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"23","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-22","publicationStatus":"PW","scienceBaseUri":"585116b9e4b08138bf1abd48","contributors":{"authors":[{"text":"Zhang, Leiming","contributorId":72516,"corporation":false,"usgs":true,"family":"Zhang","given":"Leiming","affiliations":[],"preferred":false,"id":655788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Zhiyong","contributorId":177431,"corporation":false,"usgs":false,"family":"Wu","given":"Zhiyong","email":"","affiliations":[],"preferred":false,"id":655789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheng, Irene","contributorId":177432,"corporation":false,"usgs":false,"family":"Cheng","given":"Irene","email":"","affiliations":[],"preferred":false,"id":655790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, L. Paige","contributorId":177433,"corporation":false,"usgs":false,"family":"Wright","given":"L.","email":"","middleInitial":"Paige","affiliations":[],"preferred":false,"id":655791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olson, Mark L.","contributorId":101693,"corporation":false,"usgs":true,"family":"Olson","given":"Mark","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":655792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gay, David A.","contributorId":68022,"corporation":false,"usgs":true,"family":"Gay","given":"David A.","affiliations":[],"preferred":false,"id":655793,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Risch, Martin R. 0000-0002-7908-7887 mrrisch@usgs.gov","orcid":"https://orcid.org/0000-0002-7908-7887","contributorId":2118,"corporation":false,"usgs":true,"family":"Risch","given":"Martin","email":"mrrisch@usgs.gov","middleInitial":"R.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655794,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brooks, Steven","contributorId":177434,"corporation":false,"usgs":false,"family":"Brooks","given":"Steven","email":"","affiliations":[],"preferred":false,"id":655795,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Castro, Mark S.","contributorId":172723,"corporation":false,"usgs":false,"family":"Castro","given":"Mark","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":655796,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Conley, Gary D.","contributorId":177435,"corporation":false,"usgs":false,"family":"Conley","given":"Gary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":655797,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Edgerton, Eric S.","contributorId":177436,"corporation":false,"usgs":false,"family":"Edgerton","given":"Eric","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":655798,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Holsen, Thomas M.","contributorId":150058,"corporation":false,"usgs":false,"family":"Holsen","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":17897,"text":"Department of Civil and Environmental Engineering, Clarkson University, Potsdam, New York","active":true,"usgs":false}],"preferred":false,"id":655799,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Luke, Winston","contributorId":177437,"corporation":false,"usgs":false,"family":"Luke","given":"Winston","email":"","affiliations":[],"preferred":false,"id":655800,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tordon, Robert","contributorId":177438,"corporation":false,"usgs":false,"family":"Tordon","given":"Robert","email":"","affiliations":[],"preferred":false,"id":655801,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Weiss-Penzias, Peter","contributorId":177440,"corporation":false,"usgs":false,"family":"Weiss-Penzias","given":"Peter","affiliations":[],"preferred":false,"id":655802,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70178199,"text":"ofr20161189 - 2016 - Estimating natural monthly streamflows in California and the likelihood of anthropogenic modification","interactions":[],"lastModifiedDate":"2017-02-15T11:23:48","indexId":"ofr20161189","displayToPublicDate":"2016-12-12T00:00:00","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":"2016-1189","title":"Estimating natural monthly streamflows in California and the likelihood of anthropogenic modification","docAbstract":"<p>Because natural patterns of streamflow are a fundamental property of the health of streams, there is a critical need to quantify the degree to which human activities have modified natural streamflows. A requirement for assessing streamflow modification in a given stream is a reliable estimate of flows expected in the absence of human influences. Although there are many techniques to predict streamflows in specific river basins, there is a lack of approaches for making predictions of natural conditions across large regions and over many decades. In this study conducted by the U.S. Geological Survey, in cooperation with The Nature Conservancy and Trout Unlimited, the primary objective was to develop empirical models that predict natural (that is, unaffected by land use or water management) monthly streamflows from 1950 to 2012 for all stream segments in California. Models were developed using measured streamflow data from the existing network of streams where daily flow monitoring occurs, but where the drainage basins have minimal human influences. Widely available data on monthly weather conditions and the physical attributes of river basins were used as predictor variables. Performance of regional-scale models was comparable to that of published mechanistic models for specific river basins, indicating the models can be reliably used to estimate natural monthly flows in most California streams. A second objective was to develop a model that predicts the likelihood that streams experience modified hydrology. New models were developed to predict modified streamflows at 558 streamflow monitoring sites in California where human activities affect the hydrology, using basin-scale geospatial indicators of land use and water management. Performance of these models was less reliable than that for the natural-flow models, but results indicate the models could be used to provide a simple screening tool for identifying, across the State of California, which streams may be experiencing anthropogenic flow modification.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161189","collaboration":"Prepared in cooperation with The Nature Conservancy and Trout Unlimited","usgsCitation":"Carlisle, D.M., Wolock, D.M., Howard, J.K., Grantham, T.E., Fesenmyer, Kurt, and Wieczorek, Michael, 2016, Estimating natural monthly streamflows in California and the likelihood of anthropogenic modification: U.S. Geological Survey Open-File Report 2016–1189, 27 p., https://doi.org/10.3133/ofr20161189.","productDescription":"vi, 27 p.","numberOfPages":"38","onlineOnly":"Y","ipdsId":"IP-068823","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":438493,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MP51DS","text":"USGS data release","linkHelpText":"Data Release for: Empirical Models for Estimating Baseline Streamflows in California and their Likelihood of Anthropogenic Modification"},{"id":335491,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7MP51DS","text":"Empirical models for estimating baseline streamflows in California and their likelihood of anthropogenic modification"},{"id":331915,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1189/ofr20161189.pdf","text":"Report","size":"2.93 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1189"},{"id":331914,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1189/coverthb.jpg"}],"country":"United 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 \"}}]}","contact":"<p>Chief, National Water-Quality Assessment Program<br>U.S. Geological Survey <br>413 National Center <br>12201 Sunrise Valley Drive <br>Reston, VA 20192 </p><p><a href=\"http://water.usgs.gov/nawqa/\" data-mce-href=\"http://water.usgs.gov/nawqa/\">http://water.usgs.gov/nawqa/</a></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix 1. Supplemental Information<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-12-12","noUsgsAuthors":false,"publicationDate":"2016-12-12","publicationStatus":"PW","scienceBaseUri":"584fc562e4b00645734c5399","contributors":{"authors":[{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":655581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":655582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Jeanette K.","contributorId":176714,"corporation":false,"usgs":false,"family":"Howard","given":"Jeanette","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":655583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grantham, Theodore E. tgrantham@usgs.gov","contributorId":156376,"corporation":false,"usgs":true,"family":"Grantham","given":"Theodore","email":"tgrantham@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":655584,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fesenmyer, Kurt","contributorId":105640,"corporation":false,"usgs":true,"family":"Fesenmyer","given":"Kurt","affiliations":[],"preferred":false,"id":655585,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":655586,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178239,"text":"sir20165158 - 2016 - Flow characteristics and salinity patterns of tidal rivers within the northern Ten Thousand Islands, southwest Florida, water years 2007–14","interactions":[],"lastModifiedDate":"2016-12-13T09:54:21","indexId":"sir20165158","displayToPublicDate":"2016-12-12T00:00:00","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":"2016-5158","title":"Flow characteristics and salinity patterns of tidal rivers within the northern Ten Thousand Islands, southwest Florida, water years 2007–14","docAbstract":"<p>Freshwater flow to the Ten Thousand Islands estuary has been altered by the construction of the Tamiami Trail and the Southern Golden Gate Estates. The Picayune Strand Restoration Project, which is associated with the Comprehensive Everglades Restoration Plan, has been implemented to improve freshwater delivery to the Ten Thousand Islands estuary by removing hundreds of miles of roads, emplacing hundreds of canal plugs, removing exotic vegetation, and constructing three pump stations. Quantifying the tributary flows and salinity patterns prior to, during, and after the restoration is essential to assessing the effectiveness of upstream restoration efforts.</p><p>Tributary flow and salinity patterns during preliminary restoration efforts and prior to the installation of pump stations were analyzed to provide baseline data and preliminary analysis of changes due to restoration efforts. The study assessed streamflow and salinity data for water years<sup>1</sup> 2007–2014 for the Faka Union River (canal flow included), East River, Little Wood River, Pumpkin River, and Blackwater River. Salinity data from the Palm River and Faka Union Boundary water-quality stations were also assessed.</p><p>Faka Union River was the dominant contributor of freshwater during water years 2007–14 to the Ten Thousand Islands estuary, followed by Little Wood and East Rivers. Pumpkin River and Blackwater River were the least substantial contributors of freshwater flow. The lowest annual flow volumes, the highest annual mean salinities, and the highest percentage of salinity values greater than 35 parts per thousand (ppt) occurred in water year 2011 at all sites with available data, corresponding with the lowest annual rainfall during the study. The highest annual flow volumes and the lowest percentage of salinities greater than 35 ppt occurred in water year 2013 for all sites with available data, corresponding with the highest rainfall during the study.</p><p>In water year 2014, the percentage of monitored annual flow contributed by East River increased and the percentage of flow contributed by Faka Union River decreased, compared to the earlier years. No changes in annual flow occurred at any sites west of Faka Union River. No changes in the relative flow contributions were observed during the wet season; however, the relative amounts of streamflow increased during the dry season at East River in 2014. East River had only 1 month of negative flow in 2014 compared to 6 months in 2011 and 7 months in 2008. Higher dry season flows in East River may be in response to restoration efforts. The sites to the west of Faka Union River had higher salinities on average than Faka Union River and East River. Faka Union River had the highest range in salinities, and Faka Union Boundary had the lowest range in salinities. Pumpkin River was the tributary with the lowest range in salinities.</p><p><sup>1</sup>Water year is defined as the 12-month period from October 1, for any given year, through September 30 of the following year.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165158","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers as part of the U.S. Geological Survey Greater Everglades Priority Ecosystem Science","usgsCitation":"Booth, A.C., and Soderqvist, L.E., 2016, Flow characteristics and salinity patterns of tidal rivers within the northern Ten Thousand Islands, southwest Florida, water years 2007–14: U.S. Geological Survey Scientific\nInvestigations Report 2016–5158, 22 p., https://doi.org/10.3133/sir20165158.","productDescription":"vi, 22 p.","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-072364","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":331582,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5158/coverthb.jpg"},{"id":331583,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5158/sir20165158.pdf","text":"Report","size":"4.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5158"}],"country":"United States","state":"Florida","otherGeospatial":"Ten Thousand Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.73553466796875,\n              25.79370901679868\n            ],\n            [\n              -81.73553466796875,\n              26.16776399795339\n            ],\n            [\n              -81.34002685546875,\n              26.16776399795339\n            ],\n            [\n              -81.34002685546875,\n              25.79370901679868\n            ],\n            [\n              -81.73553466796875,\n              25.79370901679868\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Caribbean-Florida Water Science Center<br>U.S. Geological Survey<br>4446 Pet Lane, Suite 108<br>Lutz, FL 33559 </p><p><a href=\"http://fl.water.usgs.gov/\" data-mce-href=\"http://fl.water.usgs.gov/\">http://fl.water.usgs.gov/</a><br></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Annual and Seasonal Rainfall<br></li><li>Annual and Seasonal Flow Characteristics of Tidal Rivers<br></li><li>Salinity Patterns of Tidal Rivers and Bays<br></li><li>Summary<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-12-12","noUsgsAuthors":false,"publicationDate":"2016-12-12","publicationStatus":"PW","scienceBaseUri":"584fc561e4b00645734c5397","contributors":{"authors":[{"text":"Booth, Amanda 0000-0002-2666-2366 acbooth@usgs.gov","orcid":"https://orcid.org/0000-0002-2666-2366","contributorId":5432,"corporation":false,"usgs":true,"family":"Booth","given":"Amanda","email":"acbooth@usgs.gov","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":653323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soderqvist, Lars E.","contributorId":92358,"corporation":false,"usgs":true,"family":"Soderqvist","given":"Lars","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":655007,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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