{"pageNumber":"427","pageRowStart":"10650","pageSize":"25","recordCount":68873,"records":[{"id":70176389,"text":"70176389 - 2016 - Emerging tools for continuous nutrient monitoring networks: Sensors advancing science and water resources protection","interactions":[],"lastModifiedDate":"2016-09-12T11:35:59","indexId":"70176389","displayToPublicDate":"2016-09-12T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Emerging tools for continuous nutrient monitoring networks: Sensors advancing science and water resources protection","docAbstract":"Sensors and enabling technologies are becoming increasingly important tools for water quality monitoring and associated water resource management decisions.  In particular, nutrient sensors are of interest because of the well-known adverse effects of nutrient enrichment on coastal hypoxia, harmful algal blooms, and impacts to human health.  Accurate and timely information on nutrient concentrations and loads is integral to strategies designed to minimize risk to humans and manage the underlying drivers of water quality impairment.  Using nitrate sensors as an example, we highlight the types of applications in freshwater and coastal environments that are likely to benefit from continuous, real-time nutrient data.  The concurrent emergence of new tools to integrate, manage and share large data sets is critical to the successful use of nutrient sensors and has made it possible for the field of continuous nutrient monitoring to rapidly move forward.  We highlight several near-term opportunities for  Federal agencies, as well as the broader scientific and management community, that will help accelerate sensor development, build and leverage sites within a national network, and develop open data standards and data management protocols that are key to realizing the benefits of a large-scale, integrated monitoring network.  Investing in these opportunities will provide new information to guide management and policies designed to protect and restore our nation’s water resources.","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12386","usgsCitation":"Pellerin, B., Stauffer, B.A., Young, D.A., Sullivan, D.J., Bricker, S.B., Walbridge, M.R., Clyde, G.A., and Shaw, D.M., 2016, Emerging tools for continuous nutrient monitoring networks: Sensors advancing science and water resources protection: Journal of the American Water Resources Association, v. 52, no. 4, p. 993-1008, https://doi.org/10.1111/1752-1688.12386.","productDescription":"16 p.","startPage":"993","endPage":"1008","ipdsId":"IP-068633","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470573,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12386","text":"Publisher Index Page"},{"id":328501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-07","publicationStatus":"PW","scienceBaseUri":"57d7c39ae4b090824ff8b8e3","contributors":{"authors":[{"text":"Pellerin, Brian A. 0000-0003-3712-7884 bpeller@usgs.gov","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":147077,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian","email":"bpeller@usgs.gov","middleInitial":"A.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stauffer, Beth A","contributorId":174558,"corporation":false,"usgs":false,"family":"Stauffer","given":"Beth","email":"","middleInitial":"A","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":648583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Dwane A","contributorId":174559,"corporation":false,"usgs":false,"family":"Young","given":"Dwane","email":"","middleInitial":"A","affiliations":[{"id":27470,"text":"US EPA, Office of Research and Development","active":true,"usgs":false}],"preferred":false,"id":648584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Daniel J. 0000-0003-2705-3738 djsulliv@usgs.gov","orcid":"https://orcid.org/0000-0003-2705-3738","contributorId":1703,"corporation":false,"usgs":true,"family":"Sullivan","given":"Daniel","email":"djsulliv@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bricker, Suzanne B.","contributorId":64555,"corporation":false,"usgs":false,"family":"Bricker","given":"Suzanne","email":"","middleInitial":"B.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":648586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walbridge, Mark R","contributorId":174560,"corporation":false,"usgs":false,"family":"Walbridge","given":"Mark","email":"","middleInitial":"R","affiliations":[{"id":25505,"text":"USDA Agricultural Research Service, Ft. Collins, CO","active":true,"usgs":false}],"preferred":false,"id":648587,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clyde, Gerard A","contributorId":174561,"corporation":false,"usgs":false,"family":"Clyde","given":"Gerard","email":"","middleInitial":"A","affiliations":[{"id":27471,"text":"US Army Corp of Engineers","active":true,"usgs":false}],"preferred":false,"id":648588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shaw, Denice M","contributorId":174562,"corporation":false,"usgs":false,"family":"Shaw","given":"Denice","email":"","middleInitial":"M","affiliations":[{"id":27470,"text":"US EPA, Office of Research and Development","active":true,"usgs":false}],"preferred":false,"id":648589,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70176382,"text":"70176382 - 2016 - Greenhouse gas emissions from a created brackish marsh in eastern North Carolina","interactions":[],"lastModifiedDate":"2016-12-09T16:22:23","indexId":"70176382","displayToPublicDate":"2016-09-12T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Greenhouse gas emissions from a created brackish marsh in eastern North Carolina","docAbstract":"<p><span>Tidal marsh creation helps remediate global warming because tidal wetlands are especially proficient at sequestering carbon (C) in soils. However, greenhouse gas (GHG) losses can offset the climatic benefits gained from C storage depending on how these tidal marshes are constructed and managed. This study attempts to determine the GHG emissions from a 4–6&nbsp;year old created brackish marsh, what environmental factors governed these emissions, and how the magnitude of the fluxes relates to other wetland ecosystems. The static flux chamber method was used to measure GHG fluxes across three distinct plant zones segregated by elevation. The major of soil GHG fluxes from the marsh were from CO</span><sub>2</sub><span> (−48–192 mg&nbsp;C m</span><sup>-2</sup><span> h</span><sup>-1</sup><span>), although it was near the lower end of values reported from other wetland types having lower salinities, and would mostly be offset by photosynthetic uptake in this created brackish marsh. Methane flux was also low (−0.33–0.86 mg&nbsp;C m</span><sup>-2</sup><span> h</span><sup>-1</sup><span>), likely inhibited by the high soil SO</span><sub>4</sub><sup>2−</sup><span>and soil redox potentials poised above −150&nbsp;mV in this in this created brackish marsh environment. Low N</span><sub>2</sub><span>O flux (−0.11–0.10 mg&nbsp;N m</span><sup>-2</sup><span> h</span><sup>-1</sup><span>) was due to low soil NO</span><sub>3</sub><sup>−</sup><span> and soil redox conditions favoring complete denitrification. GHG fluxes from this created brackish marsh were generally lower than those recorded from natural marshes, suggesting that C sequestration may not be offset by the radiative forcing from soil GHG emissions if projects are designed properly.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-016-0815-y","usgsCitation":"Shiau, Y., Burchell, M.R., Krauss, K.W., Birgand, F., and Broome, S.W., 2016, Greenhouse gas emissions from a created brackish marsh in eastern North Carolina: Wetlands, v. 36, no. 6, p. 1009-1024, https://doi.org/10.1007/s13157-016-0815-y.","productDescription":"16 p.","startPage":"1009","endPage":"1024","ipdsId":"IP-065914","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":328495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","county":"Carteret 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Carolina\",\"nation\":\"USA  \"}}]}","volume":"36","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-10","publicationStatus":"PW","scienceBaseUri":"57d7c39be4b090824ff8b8eb","contributors":{"authors":[{"text":"Shiau, Yo-Jin","contributorId":174552,"corporation":false,"usgs":false,"family":"Shiau","given":"Yo-Jin","email":"","affiliations":[],"preferred":false,"id":648573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burchell, Michael R.","contributorId":174553,"corporation":false,"usgs":false,"family":"Burchell","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":648574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":648568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birgand, François","contributorId":174554,"corporation":false,"usgs":false,"family":"Birgand","given":"François","affiliations":[{"id":33914,"text":"North Carolina State University, Raleigh","active":true,"usgs":false}],"preferred":false,"id":648575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Broome, Stephen W.","contributorId":174555,"corporation":false,"usgs":false,"family":"Broome","given":"Stephen","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":648576,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70176381,"text":"70176381 - 2016 - Assessing groundwater depletion and dynamics using GRACE and InSAR: Potential and limitations","interactions":[],"lastModifiedDate":"2019-09-06T10:31:31","indexId":"70176381","displayToPublicDate":"2016-09-12T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Assessing groundwater depletion and dynamics using GRACE and InSAR: Potential and limitations","docAbstract":"<p><span>In the last decade, remote sensing of the temporal variation of ground level and gravity has improved our understanding of groundwater dynamics and storage. Mass changes are measured by GRACE (Gravity Recovery and Climate Experiment) satellites, whereas ground deformation is measured by processing synthetic aperture radar satellites data using the InSAR (Interferometry of Synthetic Aperture Radar) techniques. Both methods are complementary and offer different sensitivities to aquifer system processes. GRACE is sensitive to mass changes over large spatial scales (more than 100,000 km</span><sup>2</sup><span>). As such, it fails in providing groundwater storage change estimates at local or regional scales relevant to most aquifer systems, and at which most groundwater management schemes are applied. However, InSAR measures ground displacement due to aquifer response to fluid-pressure changes. InSAR applications to groundwater depletion assessments are limited to aquifer systems susceptible to measurable deformation. Furthermore, the inversion of InSAR-derived displacement maps into volume of depleted groundwater storage (both reversible and largely irreversible) is confounded by vertical and horizontal variability of sediment compressibility. During the last decade, both techniques have shown increasing interest in the scientific community to complement available in situ observations where they are insufficient. In this review, we present the theoretical and conceptual bases of each method, and present idealized scenarios to highlight the potential benefits and challenges of combining these techniques to remotely assess groundwater storage changes and other aspects of the dynamics of aquifer systems.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12453","usgsCitation":"Castellazzi, P., Martel, R., Galloway, D.L., Longuevergne, L., and Rivera, A., 2016, Assessing groundwater depletion and dynamics using GRACE and InSAR: Potential and limitations: Groundwater, v. 54, no. 6, p. 768-780, https://doi.org/10.1111/gwat.12453.","productDescription":"13 p.","startPage":"768","endPage":"780","ipdsId":"IP-065886","costCenters":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":470574,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gwat.12453","text":"External Repository"},{"id":328496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-30","publicationStatus":"PW","scienceBaseUri":"57d7c39ae4b090824ff8b8de","contributors":{"authors":[{"text":"Castellazzi, Pascal","contributorId":174551,"corporation":false,"usgs":false,"family":"Castellazzi","given":"Pascal","email":"","affiliations":[{"id":27468,"text":"Univ. of Quebec","active":true,"usgs":false}],"preferred":false,"id":648567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martel, Richard","contributorId":174550,"corporation":false,"usgs":false,"family":"Martel","given":"Richard","email":"","affiliations":[{"id":27468,"text":"Univ. of Quebec","active":true,"usgs":false}],"preferred":false,"id":648566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galloway, Devin L. 0000-0003-0904-5355 dlgallow@usgs.gov","orcid":"https://orcid.org/0000-0003-0904-5355","contributorId":679,"corporation":false,"usgs":true,"family":"Galloway","given":"Devin","email":"dlgallow@usgs.gov","middleInitial":"L.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":648565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Longuevergne, Laurent","contributorId":83014,"corporation":false,"usgs":true,"family":"Longuevergne","given":"Laurent","email":"","affiliations":[],"preferred":false,"id":648577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rivera, Alfonso","contributorId":174549,"corporation":false,"usgs":false,"family":"Rivera","given":"Alfonso","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":648564,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70176366,"text":"70176366 - 2016 - Ionic molal conductivities, activity coefficients, and dissociation constants of HAsO<sub>4</sub><sup>2−</sup> and H<sub>2</sub>AsO<sub>4</sub><sup>−</sup> from 5 to 90°C and ionic strengths from 0.001 up to 3 mol kg<sup>−1</sup> and applications in natural systems","interactions":[],"lastModifiedDate":"2017-02-11T17:00:09","indexId":"70176366","displayToPublicDate":"2016-09-09T16:55:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Ionic molal conductivities, activity coefficients, and dissociation constants of HAsO<sub>4</sub><sup>2−</sup> and H<sub>2</sub>AsO<sub>4</sub><sup>−</sup> from 5 to 90°C and ionic strengths from 0.001 up to 3 mol kg<sup>−1</sup> and applications in natural systems","docAbstract":"<p><span>Arsenic is known to be one of the most toxic inorganic elements, causing worldwide environmental contamination. However, many fundamental properties related to aqueous arsenic species are not well known which will inhibit our ability to understand the geochemical behavior of arsenic (e.g. speciation, transport, and solubility). Here, the electrical conductivity of Na</span><sub>2</sub><span>HAsO</span><sub>4</sub><span> solutions has been measured over the concentration range of 0.001–1&nbsp;mol&nbsp;kg</span><sup>−1</sup><span> and the temperature range of 5–90°C. Ionic strength and temperature-dependent equations were derived for the molal conductivity of HAsO</span><sub>4</sub><sup>2−</sup><span>and H</span><sub>2</sub><span>AsO</span><sub>4</sub><sup>−</sup><span> aqueous ions. Combined with speciation calculations and the approach used by McCleskey et al. (2012b), these equations can be used to calculate the electrical conductivities of arsenic-rich waters having a large range of effective ionic strengths (0.001–3&nbsp;mol&nbsp;kg</span><sup>−1</sup><span>) and temperatures (5–90°C). Individual ion activity coefficients for HAsO</span><sub>4</sub><sup>2−</sup><span> and H</span><sub>2</sub><span>AsO</span><sub>4</sub><sup>−</sup><span> in the form of the Hückel equation were also derived using the mean salt method and the mean activity coefficients of K</span><sub>2</sub><span>HAsO</span><sub>4</sub><span> (0.001–1&nbsp;mol&nbsp;kg</span><sup>−1</sup><span>) and KH</span><sub>2</sub><span>AsO</span><sub>4</sub><span> (0.001–1.3&nbsp;mol&nbsp;kg</span><sup>−1</sup><span>). A check on these activity coefficients was made by calculating mean activity coefficients for Na</span><sub>2</sub><span>HAsO</span><sub>4</sub><span> and NaH</span><sub>2</sub><span>AsO</span><sub>4</sub><span> solutions and comparing them to measured values. At the same time Na-arsenate complexes were evaluated</span><sub>.</sub><span> The NaH</span><sub>2</sub><span>AsO</span><sub>4</sub><sup>0</sup><span> ion pair is negligible in NaH</span><sub>2</sub><span>AsO</span><sub>4</sub><span> solutions up to 1.3&nbsp;mol&nbsp;kg</span><sup>−1</sup><span>. The NaHAsO</span><sub>4</sub><sup>−</sup><span> ion pair is important in NaHAsO</span><sub>4</sub><span> solutions &gt;0.1&nbsp;mol&nbsp;kg</span><sup>−1</sup><span> and the formation constant of 10</span><sup>0.69</sup><span> was confirmed. The enthalpy, entropy, free energy and heat capacity for the second and third arsenic acid dissociation reactions were calculated from pH measurements. These properties have been incorporated into a widely used geochemical calculation code WATEQ4F and applied to natural arsenic waters. For arsenic spiked water samples from Yellowstone National Park, the mean difference between the calculated and measured conductivities have been improved from −18% to −1.0% with a standard deviation of 2.4% and the mean charge balances have been improved from 28% to 0.6% with a standard deviation of 1.5%.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2016.08.006","usgsCitation":"Zhu, X., Nordstrom, D.K., McCleskey, R.B., and Wang, R., 2016, Ionic molal conductivities, activity coefficients, and dissociation constants of HAsO<sub>4</sub><sup>2−</sup> and H<sub>2</sub>AsO<sub>4</sub><sup>−</sup> from 5 to 90°C and ionic strengths from 0.001 up to 3 mol kg<sup>−1</sup> and applications in natural systems: Chemical Geology, v. 441, p. 177-190, https://doi.org/10.1016/j.chemgeo.2016.08.006.","productDescription":"14 p.","startPage":"177","endPage":"190","ipdsId":"IP-078044","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":328473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"441","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3cf23e4b0571647d15f53","contributors":{"authors":[{"text":"Zhu, Xiangyu","contributorId":174541,"corporation":false,"usgs":false,"family":"Zhu","given":"Xiangyu","email":"","affiliations":[{"id":27467,"text":"State Key Laboratory for Mineral Deposits Research, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China","active":true,"usgs":false}],"preferred":false,"id":648544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":648543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":648545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Rucheng","contributorId":174542,"corporation":false,"usgs":false,"family":"Wang","given":"Rucheng","email":"","affiliations":[{"id":27467,"text":"State Key Laboratory for Mineral Deposits Research, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China","active":true,"usgs":false}],"preferred":false,"id":648546,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176364,"text":"70176364 - 2016 - Entrainment, retention, and transport of freely swimming fish in junction gaps between commercial barges operating on the Illinois Waterway","interactions":[],"lastModifiedDate":"2016-09-09T15:33:29","indexId":"70176364","displayToPublicDate":"2016-09-09T16:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Entrainment, retention, and transport of freely swimming fish in junction gaps between commercial barges operating on the Illinois Waterway","docAbstract":"<p><span>Large Electric Dispersal Barriers were constructed in the Chicago Sanitary and Ship Canal (CSSC) to prevent the transfer of invasive fish species between the Mississippi River Basin and the Great Lakes Basin while simultaneously allowing the passage of commercial barge traffic. We investigated the potential for entrainment, retention, and transport of freely swimming fish within large gaps (&gt;&nbsp;50&nbsp;m</span><sup>3</sup><span>) created at junction points between barges. Modified mark and capture trials were employed to assess fish entrainment, retention, and transport by barge tows. A multi-beam sonar system enabled estimation of fish abundance within barge junction gaps. Barges were also instrumented with acoustic Doppler velocity meters to map the velocity distribution in the water surrounding the barge and in the gap formed at the junction of two barges. Results indicate that the water inside the gap can move upstream with a barge tow at speeds near the barge tow travel speed. Water within 1&nbsp;m to the side of the barge junction gaps was observed to move upstream with the barge tow. Observed transverse and vertical water velocities suggest pathways by which fish may potentially be entrained into barge junction gaps. Results of mark and capture trials provide direct evidence that small fish can become entrained by barges, retained within junction gaps, and transported over distances of at least 15.5&nbsp;km. Fish entrained within the barge junction gap were retained in that space as the barge tow transited through locks and the Electric Dispersal Barriers, which would be expected to impede fish movement upstream.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2016.05.005","usgsCitation":"Davis, J.J., Jackson, P.R., Engel, F.L., LeRoy, J., Neeley, R.N., Finney, S.T., and Murphy, E.A., 2016, Entrainment, retention, and transport of freely swimming fish in junction gaps between commercial barges operating on the Illinois Waterway: Journal of Great Lakes Research, v. 42, no. 4, p. 837-848, https://doi.org/10.1016/j.jglr.2016.05.005.","productDescription":"12 p.","startPage":"837","endPage":"848","ipdsId":"IP-071305","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":328467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois Waterway","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.15498352050781,\n              41.492120839687786\n            ],\n            [\n              -88.15498352050781,\n              41.66419207101119\n            ],\n            [\n              -87.97096252441406,\n              41.66419207101119\n            ],\n            [\n              -87.97096252441406,\n              41.492120839687786\n            ],\n            [\n              -88.15498352050781,\n              41.492120839687786\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3cf23e4b0571647d15f4b","contributors":{"authors":[{"text":"Davis, Jeremiah J.","contributorId":150963,"corporation":false,"usgs":false,"family":"Davis","given":"Jeremiah","email":"","middleInitial":"J.","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":648528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":173931,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648527,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engel, Frank L. 0000-0002-4253-2625 fengel@usgs.gov","orcid":"https://orcid.org/0000-0002-4253-2625","contributorId":5463,"corporation":false,"usgs":true,"family":"Engel","given":"Frank","email":"fengel@usgs.gov","middleInitial":"L.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeRoy, Jessica Z. jleroy@usgs.gov","contributorId":174538,"corporation":false,"usgs":true,"family":"LeRoy","given":"Jessica Z.","email":"jleroy@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648530,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neeley, Rebecca N.","contributorId":174535,"corporation":false,"usgs":false,"family":"Neeley","given":"Rebecca","email":"","middleInitial":"N.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":648531,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finney, Samuel T.","contributorId":174536,"corporation":false,"usgs":false,"family":"Finney","given":"Samuel","email":"","middleInitial":"T.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":648532,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murphy, Elizabeth A. emurphy@usgs.gov","contributorId":174537,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth","email":"emurphy@usgs.gov","middleInitial":"A.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648533,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70176355,"text":"70176355 - 2016 - Gut content analysis of Lake Michigan waterbirds in years with avian botulism type E mortality, 2010–2012","interactions":[],"lastModifiedDate":"2016-11-16T11:48:05","indexId":"70176355","displayToPublicDate":"2016-09-09T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Gut content analysis of Lake Michigan waterbirds in years with avian botulism type E mortality, 2010–2012","docAbstract":"<p><span>Waterbird die-offs caused by </span><i>Clostridium botulinum</i><span> neurotoxin type E (BoNT/E) have occurred sporadically in the Great Lakes since the late 1960s, with a recent pulse starting in the late 1990s. In recent die-offs, round gobies (</span><i>Neogobius melanostomus</i><span>) have been implicated as vectors for the transfer of BoNT/E to fish-eating birds due to the round goby invasion history and their importance as prey. Dreissenid mussels (</span><i>Dreissena</i><span> spp.) are also potentially involved in BoNT/E transmission to birds and round gobies. We examined gut contents of waterbirds collected in Lake Michigan during die-offs in 2010–2012, and the gut contents of culled, presumably BoNT/E-free double-crested cormorants (</span><i>Phalacrocorax auritus</i><span>). Round gobies were found in 86% of the BoNT/E-positive individuals, 84% of the BoNT/E-negative birds, and 94% of the BoNT/E-free cormorants examined. Double-crested cormorants, ring-billed gulls (</span><i>Larus delewarensis</i><span>), and common loons (</span><i>Gavia immer</i><span>) consumed larger-sized round gobies than horned and red-necked grebes (</span><i>Podiceps auritus</i><span> and </span><i>Podiceps grisegena</i><span>), white-winged scoters (</span><i>Melanitta deglandi</i><span>), and long-tailed ducks (</span><i>Clangula hymealis</i><span>). Other common prey included dreissenid mussels, terrestrial insects, and alewives (</span><i>Alosa pseudoharengus</i><span>). Our data emphasize the importance of round gobies and mussels in diets of Lake Michigan waterbirds and suggest they may play a role in the transfer of BoNT/E to waterbirds; however, round gobies and mussels were found in BoNT/E-positive, -negative, and -free individuals, suggesting that other factors, such as alternative trophic pathways for toxin transfer, bird migratory timing and feeding locations, prey behavior, and individual physiological differences across birds may affect the likelihood that a bird will succumb to BoNT/E intoxication.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2016.07.027","usgsCitation":"Essian, D.A., Chipault, J.G., Lafrancois, B., and Leonard, J.B., 2016, Gut content analysis of Lake Michigan waterbirds in years with avian botulism type E mortality, 2010–2012: Journal of Great Lakes Research, v. 42, no. 5, p. 1118-1128, https://doi.org/10.1016/j.jglr.2016.07.027.","productDescription":"11 p.","startPage":"1118","endPage":"1128","ipdsId":"IP-070688","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":470575,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2016.07.027","text":"Publisher Index Page"},{"id":328431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3cf23e4b0571647d15f51","contributors":{"authors":[{"text":"Essian, David A.","contributorId":174521,"corporation":false,"usgs":false,"family":"Essian","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":24575,"text":"Northern Michigan University, Marquette, MI","active":true,"usgs":false}],"preferred":false,"id":648482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipault, Jennifer G. 0000-0002-1368-622X jchipault@usgs.gov","orcid":"https://orcid.org/0000-0002-1368-622X","contributorId":4765,"corporation":false,"usgs":true,"family":"Chipault","given":"Jennifer","email":"jchipault@usgs.gov","middleInitial":"G.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":648481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lafrancois, Brenda M.","contributorId":174522,"corporation":false,"usgs":false,"family":"Lafrancois","given":"Brenda M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":648483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leonard, Jill B.K.","contributorId":64141,"corporation":false,"usgs":true,"family":"Leonard","given":"Jill","email":"","middleInitial":"B.K.","affiliations":[],"preferred":false,"id":648484,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176194,"text":"ofr20161146 - 2016 - Modeling water quality, temperature, and flow in Link River, south-central Oregon","interactions":[],"lastModifiedDate":"2016-09-12T09:32:32","indexId":"ofr20161146","displayToPublicDate":"2016-09-09T00:00:00","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":"2016-1146","title":"Modeling water quality, temperature, and flow in Link River, south-central Oregon","docAbstract":"<p class=\"p1\">The 2.1-km (1.3-mi) Link River connects Upper Klamath Lake to the Klamath River in south-central Oregon. A CE-QUAL-W2 flow and water-quality model of Link River was developed to provide a connection between an existing model of the upper Klamath River and any existing or future models of Upper Klamath Lake. Water-quality sampling at six locations in Link River was done during 2013–15 to support model development and to provide a better understanding of instream biogeochemical processes. The short reach and high velocities in Link River resulted in fast travel times and limited water-quality transformations, except for dissolved oxygen. Reaeration through the reach, especially at the falls in Link River, was particularly important in moderating dissolved oxygen concentrations that at times entered the reach at Link River Dam with marked supersaturation or subsaturation. This reaeration resulted in concentrations closer to saturation downstream at the mouth of Link River.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161146","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Sullivan, A.B., and Rounds, S.A., 2016, Modeling water quality, temperature, and flow in Link River, south-central Oregon: U.S. Geological Survey Open-File Report 2016–1146, 31 p., https://dx.doi.org/10.3133/ofr20161146.","productDescription":"vi, 31 p.","numberOfPages":"41","onlineOnly":"Y","ipdsId":"IP-075012","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":328478,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1146/coverthb.jpg"},{"id":328479,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1146/ofr20161146.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1146"}],"country":"United States","state":"Oregon","otherGeospatial":"Link River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.80619239807129,\n              42.21510581314013\n            ],\n            [\n              -121.80619239807129,\n              42.23576221780897\n            ],\n            [\n              -121.7815589904785,\n              42.23576221780897\n            ],\n            [\n              -121.7815589904785,\n              42.21510581314013\n            ],\n            [\n              -121.80619239807129,\n              42.21510581314013\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, 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></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Model Calibration and Results<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix A. Link River Synoptic Water Quality Sampling, 2013–15<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-09-09","noUsgsAuthors":false,"publicationDate":"2016-09-09","publicationStatus":"PW","scienceBaseUri":"57d3cf24e4b0571647d15f59","contributors":{"authors":[{"text":"Sullivan, Annett B. 0000-0001-7783-3906 annett@usgs.gov","orcid":"https://orcid.org/0000-0001-7783-3906","contributorId":79821,"corporation":false,"usgs":true,"family":"Sullivan","given":"Annett B.","email":"annett@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":647711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":647712,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176349,"text":"70176349 - 2016 - Growth of juvenile steelhead <i>Oncorhynchus mykiss</i> under size-selective pressure limited by seasonal bioenergetic and environmental constraints","interactions":[],"lastModifiedDate":"2016-09-09T10:02:47","indexId":"70176349","displayToPublicDate":"2016-09-09T00:00:00","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":"Growth of juvenile steelhead <i>Oncorhynchus mykiss</i> under size-selective pressure limited by seasonal bioenergetic and environmental constraints","docAbstract":"<p><span>Increased freshwater growth of juvenile steelhead </span><i>Oncorhynchus mykiss</i><span> improved survival to smolt and adult stages, thus prompting an examination of factors affecting growth during critical periods that influenced survival through subsequent life stages. For three tributaries with contrasting thermal regimes, a bioenergetics model was used to evaluate how feeding rate and energy density of prey influenced seasonal growth and stage-specific survival of juvenile </span><i>O. mykiss</i><span>. Sensitivity analysis examined target levels for feeding rate and energy density of prey during the growing season that improved survival to the smolt and adult stages in each tributary. Simulated daily growth was greatest during warmer months (1 July to 30 September), whereas substantial body mass was lost during cooler months (1 December to 31 March). Incremental increases in annual feeding rate or energy density of prey during summer broadened the temperature range at which faster growth occurred and increased the growth of the average juvenile to match those that survived to smolt and adult stages. Survival to later life stages could be improved by increasing feeding rate or energy density of the diet during summer months, when warmer water temperatures accommodated increased growth potential. Higher growth during the summer period in each tributary could improve resiliency during subsequent colder periods that lead to metabolic stress and weight loss. As growth and corresponding survival rates in fresh water are altered by shifting abiotic regimes, it will be increasingly important for fisheries managers to better understand the mechanisms affecting growth limitations in rearing habitats and what measures might maintain or improve growth conditions and survival.</span></p>","language":"English","publisher":"Fisheries Society of the British Isles","publisherLocation":"London","doi":"10.1111/jfb.13078","usgsCitation":"Thompson, J.N., and Beauchamp, D.A., 2016, Growth of juvenile steelhead <i>Oncorhynchus mykiss</i> under size-selective pressure limited by seasonal bioenergetic and environmental constraints: Journal of Fish Biology, v. 89, no. 3, p. 1720-1739, https://doi.org/10.1111/jfb.13078.","startPage":"1720","endPage":"1739","numberOfPages":"20","ipdsId":"IP-078951","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":328432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Skagit River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.8,\n              47.9\n            ],\n            [\n              -122.8,\n              49\n            ],\n            [\n              -120.7,\n              49\n            ],\n            [\n              -120.7,\n              47.9\n            ],\n            [\n              -122.8,\n              47.9\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"89","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-10","publicationStatus":"PW","scienceBaseUri":"57d3cf23e4b0571647d15f4f","contributors":{"authors":[{"text":"Thompson, Jamie N.","contributorId":174511,"corporation":false,"usgs":false,"family":"Thompson","given":"Jamie","email":"","middleInitial":"N.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":648459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":648458,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176345,"text":"70176345 - 2016 - Projected wetland densities under climate change: Habitat loss but little geographic shift in conservation strategy","interactions":[],"lastModifiedDate":"2016-09-09T09:40:48","indexId":"70176345","displayToPublicDate":"2016-09-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Projected wetland densities under climate change: Habitat loss but little geographic shift in conservation strategy","docAbstract":"<p><span>Climate change poses major challenges for conservation and management because it alters the area, quality, and spatial distribution of habitat for natural populations. To assess species’ vulnerability to climate change and target ongoing conservation investments, researchers and managers often consider the effects of projected changes in climate and land use on future habitat availability and quality and the uncertainty associated with these projections. Here, we draw on tools from hydrology and climate science to project the impact of climate change on the density of wetlands in the Prairie Pothole Region of the USA, a critical area for breeding waterfowl and other wetland-dependent species. We evaluate the potential for a trade-off in the value of conservation investments under current and future climatic conditions and consider the joint effects of climate and land use. We use an integrated set of hydrological and climatological projections that provide physically based measures of water balance under historical and projected future climatic conditions. In addition, we use historical projections derived from ten general circulation models (GCMs) as a baseline from which to assess climate change impacts, rather than historical climate data. This method isolates the impact of greenhouse gas emissions and ensures that modeling errors are incorporated into the baseline rather than attributed to climate change. Our work shows that, on average, densities of wetlands (here defined as wetland basins holding water) are projected to decline across the U.S. Prairie Pothole Region, but that GCMs differ in both the magnitude and the direction of projected impacts. However, we found little evidence for a shift in the locations expected to provide the highest wetland densities under current vs. projected climatic conditions. This result was robust to the inclusion of projected changes in land use under climate change. We suggest that targeting conservation towards wetland complexes containing both small and relatively large wetland basins, which is an ongoing conservation strategy, may also act to hedge against uncertainty in the effects of climate change.</span></p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Tempe, AZ","doi":"10.1890/15-0750.1","usgsCitation":"Sofaer, H., Skagen, S., Barsugli, J.J., Rashford, B.S., Reese, G., Hoeting, J.A., Wood, A.W., and Noon, B.R., 2016, Projected wetland densities under climate change: Habitat loss but little geographic shift in conservation strategy: Ecological Applications, v. 26, no. 6, p. 1677-1692, https://doi.org/10.1890/15-0750.1.","startPage":"1677","endPage":"1692","numberOfPages":"16","ipdsId":"IP-068693","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470579,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/15-0750.1","text":"Publisher Index Page"},{"id":438551,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VX0DMQ","text":"USGS data release","linkHelpText":"Data used to estimate and project the effects of climate and land use change on wetland densities in the Prairie Pothole Region"},{"id":328429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Prairie Pothole 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,{"id":70176350,"text":"70176350 - 2016 - Marine phosphorites as potential resources for heavy rare earth elements and yttrium","interactions":[],"lastModifiedDate":"2016-09-09T10:12:01","indexId":"70176350","displayToPublicDate":"2016-09-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Marine phosphorites as potential resources for heavy rare earth elements and yttrium","docAbstract":"<p><span>Marine phosphorites are known to concentrate rare earth elements and yttrium (REY) during early diagenetic formation. Much of the REY data available are decades old and incomplete, and there has not been a systematic study of REY distributions in marine phosphorite deposits that formed over a range of oceanic environments. Consequently, we initiated this study to determine if marine phosphorite deposits found in the global ocean host REY concentrations of high enough grade to be of economic interest. This paper addresses continental-margin (CM) and open-ocean seamount phosphorites. All 75 samples analyzed are composed predominantly of carbonate fluorapatite and minor detrital and authigenic minerals. CM phosphorites have low total REY contents (mean 161 ppm) and high heavy REY (HREY) complements (mean 49%), while seamount phosphorites have 4–6 times higher individual REY contents (except for Ce, which is subequal; mean ΣREY 727 ppm), and very high HREY complements (mean 60%). The predominant causes of higher concentrations and larger HREY complements in seamount phosphorites compared to CM phosphorites are age, changes in seawater REY concentrations over time, water depth of formation, changes in pH and complexing ligands, and differences in organic carbon content in the depositional environments. Potential ore deposits with high HREY complements, like the marine phosphorites analyzed here, could help supply the HREY needed for high-tech and green-tech applications without creating an oversupply of the LREY.</span></p>","language":"English","publisher":"MDPI AG","publisherLocation":"Basel, Swizerland","doi":"10.3390/min6030088","usgsCitation":"Hein, J.R., Koschinsky, A., Mikesell, M., Mizell, K., Glenn, C.R., and Wood, R., 2016, Marine phosphorites as potential resources for heavy rare earth elements and yttrium: Minerals, v. 6, no. 3, Article 88: 22 p., https://doi.org/10.3390/min6030088.","productDescription":"Article 88: 22 p.","numberOfPages":"22","ipdsId":"IP-076789","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470578,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min6030088","text":"Publisher Index Page"},{"id":328428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-29","publicationStatus":"PW","scienceBaseUri":"57d3cf24e4b0571647d15f57","contributors":{"authors":[{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koschinsky, Andrea","contributorId":83813,"corporation":false,"usgs":true,"family":"Koschinsky","given":"Andrea","affiliations":[],"preferred":false,"id":648461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mikesell, Mariah 0000-0001-9145-2237 mmikesell@usgs.gov","orcid":"https://orcid.org/0000-0001-9145-2237","contributorId":174512,"corporation":false,"usgs":true,"family":"Mikesell","given":"Mariah","email":"mmikesell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glenn, Craig R.","contributorId":10850,"corporation":false,"usgs":true,"family":"Glenn","given":"Craig","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":648464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wood, Ray","contributorId":174513,"corporation":false,"usgs":false,"family":"Wood","given":"Ray","email":"","affiliations":[{"id":27462,"text":"Wellington, New Zealand","active":true,"usgs":false}],"preferred":false,"id":648465,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70168741,"text":"tm5B12 - 2016 - Determination of heat purgeable and ambient purgeable volatile organic compounds in water by gas chromatography/mass spectrometry","interactions":[],"lastModifiedDate":"2021-05-27T13:44:33.938673","indexId":"tm5B12","displayToPublicDate":"2016-09-08T15:00:00","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":"5-B12","title":"Determination of heat purgeable and ambient purgeable volatile organic compounds in water by gas chromatography/mass spectrometry","docAbstract":"<p>Two new analytical methods have been developed by the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) that allow the determination of 37 heat purgeable volatile organic compounds (VOCs) (USGS Method O-4437-16 [NWQL Laboratory Schedule (LS) 4437]) and 49 ambient purgeable VOCs (USGS Method O-4436-16 [NWQL LS 4436]) in unfiltered water. This report documents the procedures and initial performance of both methods. The compounds chosen for inclusion in the methods were determined as having high priority by the USGS National Water-Quality Assessment (NAWQA) Program. Both methods use a purge-and-trap technique with gas chromatography/mass spectrometry. The compounds are extracted from the sample by bubbling helium through a 25-milliliter sample. For the polar and less volatile compounds, the sample is heated at 60 degrees Celsius, whereas the less polar and more volatile compounds are purged using a separate analytical procedure at ambient temperature. The compounds are trapped on a sorbent trap, desorbed into a gas chromatograph/mass spectrometer for separation, and then identified and quantified. Sample preservation is recommended for both methods by adding a 1:1 solution of hydrochloric acid (HCl [1:1]) to water samples to adjust the pH to 2. Analysis within 14 days from sampling is recommended.</p><p>The heat purgeable method (USGS Method O-4437-16) operates with the mass spectrometer in the simultaneous full scan/selected ion monitoring mode. This method supersedes USGS Method O-4024-03 (NWQL LS 4024). Method detection limits (MDLs) for fumigant compounds 1,2-dibromoethane, 1,2-dichloropropane, 1,2,3-trichloropropane, chloropicrin, and 1,2-dibromo-3-chloropropane range from 0.002 to 0.010 microgram per liter (µg/L). The MDLs for all remaining heat purgeable VOCs range from 0.006 µg/L for <i>tert</i>-butyl methyl ether to 3 µg/L for <i>alpha</i>-terpineol. Calculated holding times indicate that 36 of the 37 heat purgeable VOCs are stable for a minimum of 14 days preserved with HCl (1:1) to pH 2, and many are stable longer. Acrolein was retained in the method validation and initial method implementation and subsequently deleted because of instability and inconsistent performance. 2-Chloromethyl oxirane, methyl oxirane, and oxirane were tested using this method, but the compounds degraded quickly with the HCl (1:1) used for microbial preservation.</p><p>The ambient purgeable method, USGS Method O-4436-16, operates with the mass spectrometer in the full scan mode. This method is a modification of USGS Method O-4127-96 (NWQL LS 2020). Several compounds were retained from Method O-4127-96 and will continue to be determined in Method O-4436-16. Eleven high priority compounds were added. MDLs for the high priority compounds range from 0.007 µg/L for 2,2-dichloro-1,1,1-trifluoroethane to 0.04 µg/L for 1,2,3,4-tetrahydronaphthalene and 1,3-butadiene. Historical MDLs for the compounds retained from Method O-4127-96 range from 0.009 µg/L for <i>trans</i>-1,2-dichloroethene to 0.1 µg/L for bromomethane. The calculated holding times for the compounds indicate the majority of the compounds are stable for a minimum of 14 days, or longer, at pH 2 with HCl (1:1) preservation. Four semivolatile compounds, 1,2-dimethylnaphthalene, 1,6-dimethylnaphthalene, 2,6-di-<i>tert</i>-butyl phenol, and 2-chloronapthalene, were tested and deleted from the method due to poor performance. Benzyl chloride was tested and deleted due to instability.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section B: Methods of the National Water Quality Laboratory in Book 5: <i> Laboratory Analysis</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm5B12","usgsCitation":"Rose, D.L., Sandstrom, M.W., and Murtagh, L.K., 2016, Determination of heat purgeable and ambient purgeable volatile organic compounds in water by gas chromatography/mass spectrometry: U.S. Geological Survey Techniques and Methods, book 5, chap. B12, 61 p., https://dx.doi.org/10.3133/tm5B12.","productDescription":"Report: xi, 61 p.; Tables; Appendix Tables","numberOfPages":"78","onlineOnly":"Y","ipdsId":"IP-050850","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"links":[{"id":328047,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/05/b12/tm5b12_appendix_tables.xlsx","text":"Appendix Tables","size":"48.0 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"TM 5-B12 Appendix Tables"},{"id":328046,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/tm/05/b12/tm5b12_tables.xlsx","text":"Tables","size":"436 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"TM 5-B12 Tables"},{"id":328045,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/05/b12/tm5b12.pdf","text":"Report","size":"5.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 5-B12"},{"id":328039,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/05/b12/coverthb.jpg"}],"publicComments":"This report in Chapter 12 of Section B: Methods of the National Water Quality Laboratory in Book 5: <i> Laboratory Analysis</i>.","contact":"<p>Chief, USGS National Water Quality Laboratory&nbsp;<br>Box 25585, Mail Stop 407<br>Denver, CO 80225-0585</p><p><a href=\"http://nwql.usgs.gov/\" data-mce-href=\"http://nwql.usgs.gov/\">http://nwql.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>&nbsp;&nbsp;1. Scope and Application</li><li>&nbsp;&nbsp;2. Method Summary</li><li>&nbsp;&nbsp;3. Safety Precautions and Waste Disposal</li><li>&nbsp;&nbsp;4. Interferences</li><li>&nbsp;&nbsp;5. Supplies and Instrumentation</li><li>&nbsp;&nbsp;6. Reagents</li><li>&nbsp;&nbsp;7. Standards</li><li>&nbsp;&nbsp;8. Sample Collection, Preservation, Labeling, Shipment, and Holding Times</li><li>&nbsp;&nbsp;9. Sample Analysis</li><li>10. Quality Assurance and Quality Control Samples and Criteria</li><li>11. Reporting Results</li><li>12. Results and Discussion of Method Development and Validation Data</li><li>13. Summary and Conclusions</li><li>Acknowledgments</li><li>References</li><li>Glossary</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-09-08","noUsgsAuthors":false,"publicationDate":"2016-09-08","publicationStatus":"PW","scienceBaseUri":"57d27d9ee4b0571647d0d8f7","contributors":{"authors":[{"text":"Rose, Donna L. 0000-0003-1216-9914 dlrose@usgs.gov","orcid":"https://orcid.org/0000-0003-1216-9914","contributorId":4546,"corporation":false,"usgs":true,"family":"Rose","given":"Donna","email":"dlrose@usgs.gov","middleInitial":"L.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":621750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":621752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murtagh, Lucinda K. 0000-0003-2885-4385 lmurtagh@usgs.gov","orcid":"https://orcid.org/0000-0003-2885-4385","contributorId":5382,"corporation":false,"usgs":true,"family":"Murtagh","given":"Lucinda","email":"lmurtagh@usgs.gov","middleInitial":"K.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":621751,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70170975,"text":"ofr20161078 - 2016 - Assessment of managed aquifer recharge at Sand Hollow Reservoir, Washington County, Utah, updated to conditions through 2014","interactions":[],"lastModifiedDate":"2016-09-09T10:10:02","indexId":"ofr20161078","displayToPublicDate":"2016-09-08T00:00:00","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":"2016-1078","title":"Assessment of managed aquifer recharge at Sand Hollow Reservoir, Washington County, Utah, updated to conditions through 2014","docAbstract":"<p class=\"p1\">Sand Hollow Reservoir in Washington County, Utah, was completed in March 2002 and is operated primarily for managed aquifer recharge by the Washington County Water Conservancy District. From 2002 through 2014, diversions of about 216,000 acre-feet from the Virgin River to Sand Hollow Reservoir have allowed the reservoir to remain nearly full since 2006. Groundwater levels in monitoring wells near the reservoir rose through 2006 and have fluctuated more recently because of variations in reservoir stage and nearby pumping from production wells. Between 2004 and 2014, about 29,000 acre-feet of groundwater was withdrawn by these wells for municipal supply. In addition, about 31,000 acre-feet of shallow seepage was captured by French drains adjacent to the North and West Dams and used for municipal supply, irrigation, or returned to the reservoir. From 2002 through 2014, about 127,000 acre-feet of water seeped beneath the reservoir to recharge the underlying Navajo Sandstone aquifer.</p><p class=\"p1\">Water quality continued to be monitored at various wells in Sand Hollow during 2013–14 to evaluate the timing and location of reservoir recharge as it moved through the aquifer. Changing geochemical conditions at monitoring wells WD 4 and WD 12 indicate rising groundwater levels and mobilization of vadose-zone salts, which could be a precursor to the arrival of reservoir recharge.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161078","collaboration":"Prepared in cooperation with the Washington County Water Conservancy District","usgsCitation":"Marston, T.M., and Heilweil, V.M., 2016, Assessment of managed aquifer recharge at Sand Hollow Reservoir, Washington County, Utah, updated to conditions through 2014: U.S. Geological Survey Open-File Report 2016–1078, 35 p., https://dx.doi.org/10.3133/ofr20161078.","productDescription":"vi, 35 p.","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-065917","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":328183,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1078/coverthb.jpg"},{"id":328184,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1078/ofr20161078.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1078"}],"country":"United States","state":"Utah","county":"Washington County","otherGeospatial":"Sand Hollow Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.41289520263672,\n              37.09325224703316\n            ],\n            [\n              -113.41289520263672,\n              37.15087639355426\n            ],\n            [\n              -113.34148406982422,\n              37.15087639355426\n            ],\n            [\n              -113.34148406982422,\n              37.09325224703316\n            ],\n            [\n              -113.41289520263672,\n              37.09325224703316\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ut@usgs.gov\" data-mce-href=\"mailto:dc_ut@usgs.gov\">Director</a>, Utah Water Science Center<br> U.S. Geological Survey<br> 2329 Orton Circle<br> Salt Lake City, Utah 84119<br> <a href=\"http://ut.water.usgs.gov/\" target=\"blank\" data-mce-href=\"http://ut.water.usgs.gov/\">http://ut.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Assessment of Managed Aquifer Recharge from Sand Hollow Reservoir<br></li><li>Groundwater and Surface-Water Quality in Sand Hollow<br></li><li>Summary<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2016-09-08","noUsgsAuthors":false,"publicationDate":"2016-09-08","publicationStatus":"PW","scienceBaseUri":"57d27d9ae4b0571647d0d8f1","contributors":{"authors":[{"text":"Marston, Thomas M. 0000-0003-1053-4172 tmarston@usgs.gov","orcid":"https://orcid.org/0000-0003-1053-4172","contributorId":3272,"corporation":false,"usgs":true,"family":"Marston","given":"Thomas","email":"tmarston@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heilweil, Victor M. heilweil@usgs.gov","contributorId":837,"corporation":false,"usgs":true,"family":"Heilweil","given":"Victor","email":"heilweil@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":647816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176294,"text":"70176294 - 2016 - Contemporary deposition and long-term accumulation of sediment and nutrients by tidal freshwater forested wetlands impacted by sea level rise","interactions":[],"lastModifiedDate":"2016-09-07T15:41:36","indexId":"70176294","displayToPublicDate":"2016-09-07T16:40:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Contemporary deposition and long-term accumulation of sediment and nutrients by tidal freshwater forested wetlands impacted by sea level rise","docAbstract":"<p><span>Contemporary deposition (artificial marker horizon, 3.5&nbsp;years) and long-term accumulation rates (</span><sup>210</sup><span>Pb profiles, ~150&nbsp;years) of sediment and associated carbon (C), nitrogen (N), and phosphorus (P) were measured in wetlands along the tidal Savannah and Waccamaw rivers in the southeastern USA. Four sites along each river spanned an upstream-to-downstream salinification gradient, from upriver tidal freshwater forested wetland (TFFW), through moderately and highly salt-impacted forested wetlands, to oligohaline marsh downriver. Contemporary deposition rates (sediment, C, N, and P) were greatest in oligohaline marsh and lowest in TFFW along both rivers. Greater rates of deposition in oligohaline and salt-stressed forested wetlands were associated with a shift to greater clay and metal content that is likely associated with a change from low availability of watershed-derived sediment to TFFW and to greater availability of a coastal sediment source to oligohaline wetlands. Long-term accumulation rates along the Waccamaw River had the opposite spatial pattern compared to contemporary deposition, with greater rates in TFFW that declined to oligohaline marsh. Long-term sediment and elemental mass accumulation rates also were 3–9× lower than contemporary deposition rates. In comparison to other studies, sediment and associated nutrient accumulation in TFFW are lower than downriver/estuarine freshwater, oligohaline, and salt marshes, suggesting a reduced capacity for surface sedimentation (short-term) as well as shallow soil processes (long-term sedimentation) to offset sea level rise in TFFW. Nonetheless, their potentially large spatial extent suggests that TFFW have a large impact on the transport and fate of sediment and nutrients in tidal rivers and estuaries.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-016-0066-4","usgsCitation":"Noe, G.E., Hupp, C.R., Bernhardt, C.E., and Krauss, K.W., 2016, Contemporary deposition and long-term accumulation of sediment and nutrients by tidal freshwater forested wetlands impacted by sea level rise: Estuaries and Coasts, v. 39, no. 4, p. 1006-1019, https://doi.org/10.1007/s12237-016-0066-4.","productDescription":"14 p.","startPage":"1006","endPage":"1019","ipdsId":"IP-068994","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":328338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-12","publicationStatus":"PW","scienceBaseUri":"57d12c1de4b0571647cec207","chorus":{"doi":"10.1007/s12237-016-0066-4","url":"http://dx.doi.org/10.1007/s12237-016-0066-4","publisher":"Springer Nature","authors":"Noe Gregory B., Hupp Cliff R., Bernhardt Christopher E., Krauss Ken W.","journalName":"Estuaries and Coasts","publicationDate":"1/12/2016","auditedOn":"7/29/2016","publiclyAccessibleDate":"1/12/2016"},"contributors":{"authors":[{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":648237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":648238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernhardt, Christopher E. 0000-0003-0082-4731 cbernhardt@usgs.gov","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":2131,"corporation":false,"usgs":true,"family":"Bernhardt","given":"Christopher","email":"cbernhardt@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":648239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":648240,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176263,"text":"70176263 - 2016 - Testing the apparent resistance of three dominant plants to chronic drought on the Colorado Plateau","interactions":[],"lastModifiedDate":"2016-12-16T12:35:31","indexId":"70176263","displayToPublicDate":"2016-09-07T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Testing the apparent resistance of three dominant plants to chronic drought on the Colorado Plateau","docAbstract":"<ol id=\"jec12647-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Many drylands, including the south-western United States, are projected to become more water-limited as these regions become warmer and drier with climate change. Such chronic drought may push individual species or plant functional types beyond key thresholds leading to reduced growth or even mortality. Indeed, recent observational and experimental evidence from the Colorado Plateau suggests that C<sub>3</sub> grasses are the most vulnerable to chronic drought, while C<sub>4</sub> grasses and C<sub>3</sub> shrubs appear to have greater resistance.</li><li>The effects of chronic, or press-drought are predicted to begin at the physiological level and translate up to higher hierarchical levels. To date, the drought resistance of C<sub>4</sub>grasses and C<sub>3</sub> shrubs in this region has been only evaluated at the community level and thus we lack information on whether there are sensitivities to drought at lower hierarchical levels. In this study, we tested the apparent drought resistance of three dominant species (<i>Pleuraphis jamesii</i>, a C<sub>4</sub> rhizomatous grass; <i>Coleogyne ramosissima</i>, a C<sub>3</sub> drought-deciduous shrub; and <i>Ephedra viridis</i>, a C<sub>3</sub> evergreen shrub) to an ongoing experimental press-drought (-35% precipitation) by comparing individual-level responses (ecophysiology and growth dynamics) to community-level responses (plant cover).</li><li>For all three species, we observed consistent responses across all hierarchical levels:<i>P.&nbsp;jamesii</i> was sensitive to drought across all measured variables, while the shrubs<i>C.&nbsp;ramosissima</i> and <i>E.&nbsp;viridis</i> had little to no responses to the experimental press-drought at any given level.</li><li><i>Synthesis</i>. Our findings suggest that the apparent drought resistance at higher hierarchical levels, such as cover, may serve as good proxies for lower-level responses. Furthermore, it appears the shrubs are avoiding drought, possibly by utilizing moisture at deeper soil layers, while the grasses are limited to shallower layers and must endure the drought conditions. Give this differential sensitivity to drought, a future with less precipitation and higher temperatures may increase the dominance of shrubs on the Colorado Plateau, as grasses succumb to chronic water stress.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2745.12647","usgsCitation":"Hoover, D.L., Duniway, M.C., and Belnap, J., 2016, Testing the apparent resistance of three dominant plants to chronic drought on the Colorado Plateau: Journal of Ecology, v. 105, no. 1, p. 152-162, https://doi.org/10.1111/1365-2745.12647.","productDescription":"11 p.","startPage":"152","endPage":"162","ipdsId":"IP-071335","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":462087,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.12647","text":"Publisher Index Page"},{"id":328307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.11871337890624,\n              37.8813571797486\n            ],\n            [\n              -110.11871337890624,\n              38.93591198756165\n            ],\n            [\n              -109.05303955078125,\n              38.93591198756165\n            ],\n            [\n              -109.05303955078125,\n              37.8813571797486\n            ],\n            [\n              -110.11871337890624,\n              37.8813571797486\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"105","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-05","publicationStatus":"PW","scienceBaseUri":"57d12c22e4b0571647cec24b","chorus":{"doi":"10.1111/1365-2745.12647","url":"http://dx.doi.org/10.1111/1365-2745.12647","publisher":"Wiley-Blackwell","authors":"Hoover David L., Duniway Michael C., Belnap Jayne","journalName":"Journal of Ecology","publicationDate":"9/5/2016","publiclyAccessibleDate":"9/5/2016"},"contributors":{"authors":[{"text":"Hoover, David L. dlhoover@usgs.gov","contributorId":5843,"corporation":false,"usgs":true,"family":"Hoover","given":"David","email":"dlhoover@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":648124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":648123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":648125,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176257,"text":"70176257 - 2016 - Organic-matter retention and macroinvertebrate utilization of seasonally inundated bryophytes in a mid-order Piedmont River","interactions":[],"lastModifiedDate":"2016-09-07T11:09:20","indexId":"70176257","displayToPublicDate":"2016-09-07T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Organic-matter retention and macroinvertebrate utilization of seasonally inundated bryophytes in a mid-order Piedmont River","docAbstract":"<p><span>There is increased understanding of the role of bryophytes in supporting invertebrate biomass and for their influence on nutrient cycling and carbon balance in aquatic systems, but the structural and functional role of bryophytes growing in seasonally inundated habitats is substantially less studied. We conducted a study on the Middle Oconee River, near Athens, GA, to assess invertebrate abundance and organic-matter retention in seasonally inundated patches of the liverwort </span><i>Porella pinnata</i><span>, a species that tends to be submerged only when water levels in rivers are substantially above base flow. Aquatic invertebrate utilization of these seasonally inundated habitats has rarely been investigated. Macroinvertebrate biomass, insect density, and organic-matter content were significantly greater in patches of </span><i>P. pinnata</i><span> than on adjacent bare rock. Bryophyte biomass explained additional variation in organic matter, insect biomass, and density. The most abundant insects in </span><i>P. pinnata</i><span> patches were Dipterans and Plecopterans. Our results suggest an important structural role of seasonally inundated bryophyte habitats in riverine ecosystems.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.015.0303","usgsCitation":"Wood, J., Pattillo, M., and Freeman, M., 2016, Organic-matter retention and macroinvertebrate utilization of seasonally inundated bryophytes in a mid-order Piedmont River: Southeastern Naturalist, v. 15, no. 3, p. 403-414, https://doi.org/10.1656/058.015.0303.","productDescription":"12 p.","startPage":"403","endPage":"414","ipdsId":"IP-074380","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328308,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","city":"Athens","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.57368469238281,\n              33.88580745357739\n            ],\n            [\n              -83.57368469238281,\n              34.05436610955984\n            ],\n            [\n              -83.37352752685547,\n              34.05436610955984\n            ],\n            [\n              -83.37352752685547,\n              33.88580745357739\n            ],\n            [\n              -83.57368469238281,\n              33.88580745357739\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d12c21e4b0571647cec240","contributors":{"authors":[{"text":"Wood, James","contributorId":174400,"corporation":false,"usgs":false,"family":"Wood","given":"James","affiliations":[],"preferred":false,"id":648204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pattillo, Meryom","contributorId":174401,"corporation":false,"usgs":false,"family":"Pattillo","given":"Meryom","email":"","affiliations":[],"preferred":false,"id":648205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648102,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176265,"text":"70176265 - 2016 - Estimating indices of range shifts in birds using dynamic models when detection is imperfect","interactions":[],"lastModifiedDate":"2016-09-07T10:54:03","indexId":"70176265","displayToPublicDate":"2016-09-07T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating indices of range shifts in birds using dynamic models when detection is imperfect","docAbstract":"<p><span>There is intense interest in basic and applied ecology about the effect of global change on current and future species distributions. Projections based on widely used static modeling methods implicitly assume that species are in equilibrium with the environment and that detection during surveys is perfect. We used multiseason correlated detection occupancy models, which avoid these assumptions, to relate climate data to distributional shifts of Louisiana Waterthrush in the North American Breeding Bird Survey (BBS) data. We summarized these shifts with indices of range size and position and compared them to the same indices obtained using more basic modeling approaches. Detection rates during point counts in BBS surveys were low, and models that ignored imperfect detection severely underestimated the proportion of area occupied and slightly overestimated mean latitude. Static models indicated Louisiana Waterthrush distribution was most closely associated with moderate temperatures, while dynamic occupancy models indicated that initial occupancy was associated with diurnal temperature ranges and colonization of sites was associated with moderate precipitation. Overall, the proportion of area occupied and mean latitude changed little during the 1997–2013 study period. Near-term forecasts of species distribution generated by dynamic models were more similar to subsequently observed distributions than forecasts from static models. Occupancy models incorporating a finite mixture model on detection – a new extension to correlated detection occupancy models – were better supported and may reduce bias associated with detection heterogeneity. We argue that replacing phenomenological static models with more mechanistic dynamic models can improve projections of future species distributions. In turn, better projections can improve biodiversity forecasts, management decisions, and understanding of global change biology.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13283","usgsCitation":"Clement, M.J., Hines, J., Nichols, J., Pardieck, K.L., and Ziolkowski, D., 2016, Estimating indices of range shifts in birds using dynamic models when detection is imperfect: Global Change Biology, v. 22, no. 10, p. 3273-3285, https://doi.org/10.1111/gcb.13283.","productDescription":"13 p.","startPage":"3273","endPage":"3285","ipdsId":"IP-069235","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"10","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-12","publicationStatus":"PW","scienceBaseUri":"57d12c1fe4b0571647cec225","contributors":{"authors":[{"text":"Clement, Matthew J. mclement@usgs.gov","contributorId":5278,"corporation":false,"usgs":true,"family":"Clement","given":"Matthew","email":"mclement@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pardieck, Keith L. 0000-0003-2779-4392 kpardieck@usgs.gov","orcid":"https://orcid.org/0000-0003-2779-4392","contributorId":4104,"corporation":false,"usgs":true,"family":"Pardieck","given":"Keith","email":"kpardieck@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ziolkowski, David J. Jr. 0000-0002-2500-4417 dziolkowski@usgs.gov","orcid":"https://orcid.org/0000-0002-2500-4417","contributorId":4103,"corporation":false,"usgs":true,"family":"Ziolkowski","given":"David J.","suffix":"Jr.","email":"dziolkowski@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648134,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175660,"text":"ofr20161137 - 2016 - Quality of surface-water supplies in the Triangle Area of North Carolina, water years 2012–13","interactions":[],"lastModifiedDate":"2016-12-09T10:01:39","indexId":"ofr20161137","displayToPublicDate":"2016-09-07T09:30:00","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":"2016-1137","title":"Quality of surface-water supplies in the Triangle Area of North Carolina, water years 2012–13","docAbstract":"<p>Surface-water supplies are important sources of drinking water for residents in the Triangle area of North Carolina, which is located within the upper Cape Fear and Neuse River Basins. Since 1988, the U.S. Geological Survey and a consortium of local governments have tracked water-quality conditions and trends in several of the area’s water-supply lakes and streams. This report summarizes data collected through this cooperative effort, known as the Triangle Area Water Supply Monitoring Project, during October 2011 through September 2012 (water year 2012) and October 2012 through September 2013 (water year 2013). Major findings for this period include:</p><ul><li>Annual precipitation was approximately 2 percent above the long-term mean (average) annual precipitation in 2012 and approximately 3 percent below the long-term mean in 2013.</li><li>In water year 2012, streamflow was generally below the long-term mean during most of the period for the 10 project streamflow gaging stations. Streamflow was near or above the long-term mean at the same streamflow gaging stations during the 2013 water year.</li><li>More than 7,000 individual measurements of water quality were made at a total of 17 sites—6 in the Neuse River Basin and 11 in the Cape Fear River Basin. Forty-three water-quality properties or constituents were measured; State water-quality standards exist for 23 of these.</li><li>All observations met State water-quality standards for pH, temperature, hardness, chloride, fluoride, sulfate, nitrate, arsenic, cadmium, chromium, lead, nickel, and selenium.</li><li>North Carolina water-quality standards were exceeded one or more times for dissolved oxygen, dissolved-oxygen percent saturation, turbidity, chlorophyll <i>a</i>, copper, iron, manganese, mercury, silver, and zinc. Exceedances occurred at all 17 sites.</li><li>Stream samples collected during storm events contained elevated concentrations of 19 water-quality constituents relative to non-storm events.</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161137","collaboration":"Prepared in cooperation with the Triangle Area Water Supply Monitoring Project Steering Committee","usgsCitation":"Pfeifle, C.A., Cain, J.L., and Rasmussen, R.B., 2016, Quality of surface-water supplies in the Triangle area of North Carolina, water years 2012–13: U.S. Geological Survey Open-File Report 2016–1137, 18 p., https://dx.doi.org/10.3133/ofr20161137.","productDescription":"Report: vi, 18 p.; Table; 4 Appendixes; Data Release","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-064972","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":438552,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77M061X","text":"USGS data release","linkHelpText":"Associated data for Surface-Water Supplies in the Triangle Area of North Carolina, Water Years 2012-13"},{"id":328190,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1137/ofr20161137_appendix4.xlsx","text":"Appendix 4 - ","size":"24 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016-1137","linkHelpText":"Chemical constituents and physical properties analyzed by the U.S. Geological Survey National Water Quality Laboratory for the Triangle Area Water Supply Monitoring Project, and the methods used for sample analyses, October 2011 through September 2013"},{"id":328189,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1137/ofr20161137_appendix3.xlsx","text":"Appendix 3 - ","size":"35.6 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016-1137","linkHelpText":"Analytical results for the environmental and replicate sample sets collected from October 2011 through September 2013 at the Triangle Area Water Supply Monitoring Project study sites, North Carolina"},{"id":328192,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F77M061X","text":"USGS data release","description":"Data Release","linkHelpText":"Associated data for Surface-Water Supplies in the Triangle Area of North Carolina, Water Years 2012-13"},{"id":328191,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2016/1137/ofr20161137_table3.xlsx","text":"Table 3 - ","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016-1137","linkHelpText":"Summary of water-quality results for sampled sites in the Triangle Area Water Supply Monitoring Project, October 2011 through September 2013"},{"id":328187,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1137/ofr20161137_appendix1.xlsx","text":"Appendix 1 - ","size":"83.7 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016-1137","linkHelpText":"Water-quality data for surface-water samples collected from October 2011 through September 2013 at the Triangle Area Water Supply Monitoring Project study sites, North Carolina"},{"id":328185,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1137/coverthb.jpg"},{"id":328186,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1137/ofr20161137.pdf","text":"Report ","size":"4.97 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1137"},{"id":328188,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1137/ofr20161137_appendix2.xlsx","text":"Appendix 2 - ","size":"27.7 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016-1137","linkHelpText":"Analytical results for blanks collected from October 2011 through September 2013 during surface-water sampling at the Triangle Area Supply Monitoring Project study sites, North Carolina"}],"country":"United States","state":"North Carolina","otherGeospatial":"Cape Fear Basin, Neuse River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.29656982421875,\n              35.536696378395035\n            ],\n            [\n              -79.29656982421875,\n              36.372644996081206\n            ],\n            [\n              -78.31878662109375,\n              36.372644996081206\n            ],\n            [\n              -78.31878662109375,\n              35.536696378395035\n            ],\n            [\n              -79.29656982421875,\n              35.536696378395035\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_sc@usgs.gov\">Director</a> South Atlantic Water Science Center <br /> U.S. Geological Survey <br /> 720 Gracern Road <br /> Columbia, SC 29210 <br /> <a href=\"http://www.usgs.gov/water/southatlantic/\">http://www.usgs.gov/water/southatlantic/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Monitoring Network</li><li>Quality Assurance</li><li>Precipitation and Streamflow</li><li>Water Quality</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2016-09-07","noUsgsAuthors":false,"publicationDate":"2016-09-07","publicationStatus":"PW","scienceBaseUri":"57d12c21e4b0571647cec244","contributors":{"authors":[{"text":"Pfeifle, C.A. cmendoza@usgs.gov","contributorId":173786,"corporation":false,"usgs":true,"family":"Pfeifle","given":"C.A.","email":"cmendoza@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":645940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, J.L. jcain@usgs.gov","contributorId":173787,"corporation":false,"usgs":true,"family":"Cain","given":"J.L.","email":"jcain@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":645941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rasmussen, R.B. rbrasmus@usgs.gov","contributorId":173788,"corporation":false,"usgs":true,"family":"Rasmussen","given":"R.B.","email":"rbrasmus@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":645942,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176095,"text":"fs20163061 - 2016 - History of U.S. Geological Survey streamgaging on the Souris River in and near Minot, North Dakota, 1903–2016","interactions":[],"lastModifiedDate":"2017-10-12T19:54:57","indexId":"fs20163061","displayToPublicDate":"2016-09-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3061","title":"History of U.S. Geological Survey streamgaging on the Souris River in and near Minot, North Dakota, 1903–2016","docAbstract":"<p>The U.S. Geological Survey began collecting streamflow data, in cooperation with the North Dakota State Water Commission, on the Souris River in and near Minot, North Dakota, in April 1903. The gage was started up to better understand the water resources available in North Dakota. Currently (2016), water availability is still important as well as the flood monitoring and forecasting that has become an important component of this gage. Gage-height and streamflow data for the Souris River in and near Minot have been collected at five different streamgage locations during the years. This fact sheet describes the history of streamgaging (locations, gage-height data, and streamflow data) and flooding on the Souris River in and near Minot since 1903.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163061","usgsCitation":"Baker, K.K., and Robinson, S.M., History of U.S. Geological Survey streamgaging on the Souris River in and near Minot, North Dakota, 1903–2016: U.S. Geological Survey Fact Sheet 2016–3061, 6 p., https://dx.doi.org/10.3133/fs20163061.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-076990","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":328296,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3061/fs20163061.pdf","text":"Fact Sheet","size":"7.85 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3061"},{"id":328295,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3061/coverthb.jpg"}],"country":"United States","state":"North Dakota","city":"Minot","otherGeospatial":"Souris River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -101.42475128173828,\n              48.16104745279183\n            ],\n            [\n              -101.42475128173828,\n              48.27908037971334\n            ],\n            [\n              -101.17755889892578,\n              48.27908037971334\n            ],\n            [\n              -101.17755889892578,\n              48.16104745279183\n            ],\n            [\n              -101.42475128173828,\n              48.16104745279183\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, North Dakota Water Science Center<br>U.S. Geological Survey <br>821 E Interstate Ave<br>Bismarck, ND 58503<br></p><p><a href=\"http://nd.water.ugsg.gov/\" data-mce-href=\"http://nd.water.ugsg.gov/\">http://nd.water.ugsg.gov/</a></p>","tableOfContents":"<ul><li>Introduction<br></li><li>Methods Used in Collection of Gage-Height Record<br></li><li>Streamgage Locations on the Souris River in and near&nbsp;Minot, N. Dak.<br></li><li>Discharge Measurements<br></li><li>Daily Discharge Records<br></li><li>Flood History of the Souris River at Minot<br></li><li>References Cited<br></li></ul><p><br data-mce-bogus=\"1\"></p>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-09-07","noUsgsAuthors":false,"publicationDate":"2016-09-07","publicationStatus":"PW","scienceBaseUri":"57d12c20e4b0571647cec231","contributors":{"authors":[{"text":"Baker, Kevin K. kkbaker@usgs.gov","contributorId":3623,"corporation":false,"usgs":true,"family":"Baker","given":"Kevin","email":"kkbaker@usgs.gov","middleInitial":"K.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Steven M. 0000-0002-9263-382X smrobins@usgs.gov","orcid":"https://orcid.org/0000-0002-9263-382X","contributorId":3466,"corporation":false,"usgs":true,"family":"Robinson","given":"Steven","email":"smrobins@usgs.gov","middleInitial":"M.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648181,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176126,"text":"fs20163064 - 2016 - Science center capabilities to monitor and investigate Michigan’s water resources, 2016","interactions":[],"lastModifiedDate":"2016-09-06T11:23:46","indexId":"fs20163064","displayToPublicDate":"2016-09-06T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3064","title":"Science center capabilities to monitor and investigate Michigan’s water resources, 2016","docAbstract":"<p>Michigan faces many challenges related to water resources, including flooding, drought, water-quality degradation and impairment, varying water availability, watershed-management issues, stormwater management, aquatic-ecosystem impairment, and invasive species. Michigan’s water resources include approximately 36,000 miles of streams, over 11,000 inland lakes, 3,000 miles of shoreline along the Great Lakes (MDEQ, 2016), and groundwater aquifers throughout the State.</p><p>The U.S. Geological Survey (USGS) works in cooperation with local, State, and other Federal agencies, as well as tribes and universities, to provide scientific information used to manage the water resources of Michigan. To effectively assess water resources, the USGS uses standardized methods to operate streamgages, water-quality stations, and groundwater stations. The USGS also monitors water quality in lakes and reservoirs, makes periodic measurements along rivers and streams, and maintains all monitoring data in a national, quality-assured, hydrologic database.</p><p>The USGS in Michigan investigates the occurrence, distribution, quantity, movement, and chemical and biological quality of surface water and groundwater statewide. Water-resource monitoring and scientific investigations are conducted statewide by USGS hydrologists, hydrologic technicians, biologists, and microbiologists who have expertise in data collection as well as various scientific specialties. A support staff consisting of computer-operations and administrative personnel provides the USGS the functionality to move science forward. Funding for USGS activities in Michigan comes from local and State agencies, other Federal agencies, direct Federal appropriations, and through the USGS Cooperative Matching Funds, which allows the USGS to partially match funding provided by local and State partners.</p><p>This fact sheet provides an overview of the USGS current (2016) capabilities to monitor and study Michigan’s vast water resources. More information regarding projects by the Michigan Water Science Center (MI WSC) is available at <a href=\"http://mi.water.usgs.gov/\" data-mce-href=\"http://mi.water.usgs.gov/\">http://mi.water.usgs.gov/</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163064","usgsCitation":"Giesen, J.A., and Givens, C.E., 2016, Science center capabilities to monitor and investigate  Michigan's Water Resources, 2016: U.S. Geological Survey Fact Sheet 2016-3064, 6 p., https://dx.doi.org/10.3133/fs20163064.","productDescription":"6 p.","onlineOnly":"Y","ipdsId":"IP-070531","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":328222,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3064/coverthb.jpg"},{"id":328223,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3064/fs20163064.pdf","text":"Report","size":"13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3064"}],"country":"United 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 \"}}]}","contact":"<p><a href=\"mailto:dc_mi@usgs.gov\" data-mce-href=\"mailto:dc_mi@usgs.gov\">Director</a>, Michigan-Ohio Water Science Center<br> U.S. Geological Survey<br> 6520 Mercantile Way<br> Suite 5<br> Lansing, MI 48911<br> <a href=\"http://mi.water.usgs.gov/\" data-mce-href=\"http://mi.water.usgs.gov/\">http://mi.water.usgs.gov/</a></p><p>Or<br> <a href=\"mailto:dc_oh@usgs.gov\" data-mce-href=\"mailto:dc_oh@usgs.gov\">Director</a>, Ohio Water Science Center<br> U.S. Geological Survey<br> 6480 Doubletree Ave<br> Columbus, OH 43229<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":"2016-09-06","noUsgsAuthors":false,"publicationDate":"2016-09-06","publicationStatus":"PW","scienceBaseUri":"57cfdaa8e4b048364169820c","contributors":{"authors":[{"text":"Giesen, Julia A. jgiesen@usgs.gov","contributorId":174104,"corporation":false,"usgs":true,"family":"Giesen","given":"Julia","email":"jgiesen@usgs.gov","middleInitial":"A.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":647280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Givens, Carrie E. cgivens@usgs.gov","contributorId":5711,"corporation":false,"usgs":true,"family":"Givens","given":"Carrie","email":"cgivens@usgs.gov","middleInitial":"E.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":647281,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176071,"text":"70176071 - 2016 - Holocene paleoclimate inferred from salinity histories of adjacent lakes in southwestern Sicily (Italy)","interactions":[],"lastModifiedDate":"2016-09-07T12:40:52","indexId":"70176071","displayToPublicDate":"2016-09-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Holocene paleoclimate inferred from salinity histories of adjacent lakes in southwestern Sicily (Italy)","docAbstract":"<p>Marked uncertainties persist regarding the climatic evolution of the Mediterranean region during the Holocene. For instance, whether moisture availability gradually decreased, remained relatively constant, or increased during the last 7000 years remains a matter of debate. To assess Holocene limnology, hydrology and moisture dynamics, the coastal lakes Lago Preola and Gorgo Basso, located in southwestern Sicily, were investigated through several stratigraphic analyses of ostracodes, including multivariate analyses of assemblages, transfer functions of salinity, and biochemical analyses of valves (Sr/Ca, δ<sup>18</sup>O and δ<sup>13</sup>C). During the early Holocene, the Gorgo Basso and Lago Preola ostracode records are similar. After an initial period of moderate salinity (1690–6100&nbsp;mg/l from ca. 10,000–8190&nbsp;cal&nbsp;yr BP), syndepositional or diagenetic dissolution of ostracode valves suggests that salinity declined to &lt;250&nbsp;mg/L from ca. 8190 to 7000&nbsp;cal&nbsp;yr BP at both sites. After ca. 6250&nbsp;cal&nbsp;yr BP, the ostracode records are strikingly different. Lago Preola became much more saline, with paleosalinity values that ranged from 2270 to about 24,420&nbsp;mg/L. We suggest that Lago Preola's change from a freshwater to mesosaline lake at about 6250&nbsp;cal&nbsp;yr BP was related to sea level rise and resulting intrusion of seawater-influenced groundwater. In contrast, Gorgo Basso remained a freshwater lake. The salinity of Gorgo Basso declined somewhat after 6250&nbsp;cal&nbsp;yr BP, in comparison to the early Holocene, ranging from about 550 to 1680&nbsp;mg/L. <i>Cypria ophtalmica</i>, a species capable of rapid swimming and flourishing in waters with low dissolved oxygen levels, became dominant at approximately the time when Greek civilization took root in Sicily (2600&nbsp;cal&nbsp;yr BP), and it completely dominates the record during Roman occupation (roughly 2100 to 1700&nbsp;cal&nbsp;yr BP). These freshwater conditions at Gorgo Basso suggest high effective moisture when evergreen olive-oak forests collapsed in response to increased Greco-Roman land use and fire. Ostracode valve geochemistry (Sr/Ca, δ<sup>18</sup>O) suggests significant changes in early vs. late Holocene hydrochemistry, either as changes in salinity or in the seasonality of precipitation. Harmonizing the autecological and geochemical data from Gorgo Basso suggests the latter was more likely, with relatively more late Holocene precipitation falling during the spring, summer, and fall, than winter compared to the early Holocene. Our ostracode-inferred paleosalinity data indicate that moisture availability did not decline during the late Holocene in the central Mediterranean region. Instead, moisture availability was lowest during the early Holocene, and most abundant during the late Holocene.</p>","language":"English","publisher":"Pergamon Press","doi":"10.1016/j.quascirev.2016.08.013","usgsCitation":"Curry, B., Henne, P., Mezquita-Joanes, F., Marrone, F., Pieri, V., La Mantia, T., Calo, C., and Tinner, W., 2016, Holocene paleoclimate inferred from salinity histories of adjacent lakes in southwestern Sicily (Italy): Quaternary Science Reviews, v. 150, p. 67-83, https://doi.org/10.1016/j.quascirev.2016.08.013.","productDescription":"17 p.","startPage":"67","endPage":"83","ipdsId":"IP-070996","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":328313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","state":"Trapani Province","otherGeospatial":"Riserva Naturale Integrale Lago Preola e Gorghi Tondi, Sicily","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              12.6,\n              37.6\n            ],\n            [\n              12.6,\n              37.64\n            ],\n            [\n              12.66,\n              37.64\n            ],\n            [\n              12.66,\n              37.6\n            ],\n            [\n              12.6,\n              37.6\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"150","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d13a3de4b0571647cf8ddc","contributors":{"authors":[{"text":"Curry, B Brandon","contributorId":174032,"corporation":false,"usgs":false,"family":"Curry","given":"B Brandon","affiliations":[{"id":27342,"text":"Illinois State Geological Survey, Prairie Research Institute, University of Illinois at Urbana-Champaign, IL, USA","active":true,"usgs":false}],"preferred":false,"id":647000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henne, Paul D. 0000-0003-1211-5545 phenne@usgs.gov","orcid":"https://orcid.org/0000-0003-1211-5545","contributorId":169166,"corporation":false,"usgs":true,"family":"Henne","given":"Paul D.","email":"phenne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":646999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mezquita-Joanes, Francesc","contributorId":174033,"corporation":false,"usgs":false,"family":"Mezquita-Joanes","given":"Francesc","email":"","affiliations":[{"id":27343,"text":"Department of Microbiology and Ecology/ICBiBE, University of Valencia, Spain","active":true,"usgs":false}],"preferred":false,"id":647001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marrone, Federico","contributorId":174034,"corporation":false,"usgs":false,"family":"Marrone","given":"Federico","email":"","affiliations":[{"id":27344,"text":"Universita' degli Studi di Palermo, Sicily, Italy","active":true,"usgs":false}],"preferred":false,"id":647002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pieri, Valentina","contributorId":174035,"corporation":false,"usgs":false,"family":"Pieri","given":"Valentina","email":"","affiliations":[{"id":27345,"text":"Royal Belgian Institure of Natural Sciences, Brussels, Belgium","active":true,"usgs":false}],"preferred":false,"id":647005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"La Mantia, Tommaso","contributorId":169175,"corporation":false,"usgs":false,"family":"La Mantia","given":"Tommaso","email":"","affiliations":[{"id":25431,"text":"University of Palermo","active":true,"usgs":false}],"preferred":false,"id":647003,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Calo, Camilla","contributorId":174036,"corporation":false,"usgs":false,"family":"Calo","given":"Camilla","email":"","affiliations":[{"id":27346,"text":"Institute of Plant Sciences & Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland","active":true,"usgs":false}],"preferred":false,"id":647006,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tinner, Willy 0000-0001-7352-0144","orcid":"https://orcid.org/0000-0001-7352-0144","contributorId":169167,"corporation":false,"usgs":false,"family":"Tinner","given":"Willy","email":"","affiliations":[{"id":25430,"text":"University of Bern","active":true,"usgs":false}],"preferred":false,"id":647004,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70199782,"text":"70199782 - 2016 - Metformin and other pharmaceuticals widespread in wadeable streams of the southeastern United States","interactions":[],"lastModifiedDate":"2018-09-27T17:03:47","indexId":"70199782","displayToPublicDate":"2016-09-04T16:45:55","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5022,"text":"Environmental Science & Technology Letters","onlineIssn":"2328-8930","active":true,"publicationSubtype":{"id":10}},"title":"Metformin and other pharmaceuticals widespread in wadeable streams of the southeastern United States","docAbstract":"<p><span>Pharmaceutical contaminants are growing aquatic-health concerns and largely attributed to wastewater treatment facility (WWTF) discharges. Five biweekly water samples from 59 small Piedmont (United States) streams were analyzed for 108 pharmaceuticals and degradates using high-performance liquid chromatography and tandem mass spectrometry. The antidiabetic metformin was detected in 89% of samples and at 97% of sites. At least one pharmaceutical was detected at every site (median of 6, maximum of 45), and several were detected at ≥10% of sites at concentrations reported to affect multiple aquatic end points. Maximal cumulative (all detected compounds) concentrations per site ranged from 17 to 16000 ng L</span><sup>–1</sup><span>. Watershed urbanization, water table depth, soil thickness, and WWTF metrics correlated significantly with in-stream pharmaceutical contamination. Comparable pharmaceutical concentrations and detections at sites with and without permitted wastewater discharges demonstrate the importance of non-WWTF sources and the need for broad-scale mitigation. The results highlight a fundamental biochemical link between global human-health crises like diabetes and aquatic ecosystem health.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.estlett.6b00170","usgsCitation":"Bradley, P.M., Journey, C.A., Button, D.T., Carlisle, D.M., Clark, J.M., Mahler, B., Nakagaki, N., Qi, S.L., Waite, I.R., and Van Metre, P., 2016, Metformin and other pharmaceuticals widespread in wadeable streams of the southeastern United States: Environmental Science & Technology Letters, v. 3, no. 6, p. 243-249, https://doi.org/10.1021/acs.estlett.6b00170.","productDescription":"7 p.","startPage":"243","endPage":"249","ipdsId":"IP-074282","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":462091,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.estlett.6b00170","text":"Publisher Index Page"},{"id":357870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.3552303599749,\n              29.6305\n            ],\n            [\n              -76.0284,\n              29.6305\n            ],\n            [\n              -76.0284,\n              38.4013255312409\n            ],\n            [\n              -88.3552303599749,\n              38.4013255312409\n            ],\n            [\n              -88.3552303599749,\n              29.6305\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","issue":"6","noUsgsAuthors":false,"publicationDate":"2016-05-24","publicationStatus":"PW","scienceBaseUri":"5bc032a7e4b0fc368eb53a69","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":189681,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Button, Daniel T. 0000-0002-7479-884X dtbutton@usgs.gov","orcid":"https://orcid.org/0000-0002-7479-884X","contributorId":2084,"corporation":false,"usgs":true,"family":"Button","given":"Daniel","email":"dtbutton@usgs.gov","middleInitial":"T.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - 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,{"id":70178585,"text":"70178585 - 2016 - A python framework for environmental model uncertainty analysis","interactions":[],"lastModifiedDate":"2016-11-30T11:44:14","indexId":"70178585","displayToPublicDate":"2016-09-03T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"A python framework for environmental model uncertainty analysis","docAbstract":"<p><span>We have developed pyEMU, a python framework for Environmental Modeling Uncertainty analyses, open-source tool that is non-intrusive, easy-to-use, computationally efficient, and scalable to highly-parameterized inverse problems. The framework implements several types of linear (first-order, second-moment (FOSM)) and non-linear uncertainty analyses. The FOSM-based analyses can also be completed prior to parameter estimation to help inform important modeling decisions, such as parameterization and objective function formulation. Complete workflows for several types of FOSM-based and non-linear analyses are documented in example notebooks implemented using Jupyter that are available in the online pyEMU repository. Example workflows include basic parameter and forecast analyses, data worth analyses, and error-variance analyses, as well as usage of parameter ensemble generation and management capabilities. These workflows document the necessary steps and provides insights into the results, with the goal of educating users not only in how to apply pyEMU, but also in the underlying theory of applied uncertainty quantification.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2016.08.017","usgsCitation":"White, J.T., Fienen, M., and Doherty, J.E., 2016, A python framework for environmental model uncertainty analysis: Environmental Modelling and Software, v. 85, p. 217-228, https://doi.org/10.1016/j.envsoft.2016.08.017.","productDescription":"12 p.","startPage":"217","endPage":"228","ipdsId":"IP-077464","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":331312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"85","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583ff34ee4b04fc80e437264","contributors":{"authors":[{"text":"White, Jeremy T. 0000-0002-4950-1469 jwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":167708,"corporation":false,"usgs":true,"family":"White","given":"Jeremy","email":"jwhite@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":177065,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":654467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":654468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70174994,"text":"sir20165107 - 2016 - Flood-inundation maps for the Green River in Colrain, Leyden, and Greenfield, Massachusetts, from U.S. Geological Survey streamgage 01170100 Green River near Colrain to the confluence with the Deerfield River","interactions":[],"lastModifiedDate":"2016-12-05T09:45:08","indexId":"sir20165107","displayToPublicDate":"2016-09-02T11:45:00","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":"2016-5107","title":"Flood-inundation maps for the Green River in Colrain, Leyden, and Greenfield, Massachusetts, from U.S. Geological Survey streamgage 01170100 Green River near Colrain to the confluence with the Deerfield River","docAbstract":"<p>The U.S. Geological Survey developed flood elevations in cooperation with the Federal Emergency Management Agency for a 14.3-mile reach of the Green River in Colrain, Leyden, and Greenfield, Massachusetts, to assist landowners and emergency management workers to prepare for and recover from floods. The river reach extends from the U.S. Geological Survey Green River near Colrain, MA (01170100) streamgage downstream to the confluence with the Deerfield River. A series of seven digital flood inundation maps were developed for the upper 4.4 miles of the river reach downstream from the stream. Flood discharges corresponding to the 50-, 10-, 1-, and 0.2-percent annual exceedance probabilities were computed for the reach from updated flood-frequency analyses. These peak flows and the flood flows associated with the stages of 10.2, 12.4, and 14.4 feet (ft) at the Green River streamgage were routed through a one-dimensional step-backwater hydraulic model to obtain the corresponding peak water-surface elevations and to place the Tropical Storm Irene flood of August 28, 2011 (stage 13.97 ft), into historical context. The hydraulic model was calibrated by using the current (2015) stage-discharge relation at the U.S. Geological Survey Green River near Colrain, MA (01170100) streamgage and from documented high-water marks from the Tropical Storm Irene flood, which had a flow higher than a 0.2-percent annual exceedance probability flood discharge.</p><p>The hydraulic model was used to compute water-surface profiles for flood stages referenced to the streamgage and ranging from the 50-percent annual exceedance probability (bankfull flow) at 7.6 ft (439.8 ft above the North American Vertical Datum of 1988 [NAVD 88]) to 14.4 ft (446.7 ft NAVD 88), which exceeds the maximum recorded water level of 13.97 ft (Tropical Storm Irene) at the streamgage. The mapped stages of 7.6 to 14.4 ft were selected to match the stages for bankfull; the 50-, 10-, 1-, and 0.2-percent annual exceedance probabilities; incremental stages of 10.2 and 12.4 ft; and the maximum stage of the stage-discharge rating curve. The simulated water-surface profiles were combined with a geographic information system digital elevation model derived from light detection and ranging (lidar) data having a 0.5-ft vertical accuracy to create a set of flood-inundation maps.</p><p>The availability of the flood-inundation maps, combined with information regarding near real-time stage from U.S. Geological Survey Green River near Colrain, MA (01170100) streamgage, can provide emergency management personnel and residents with information that is critical for flood response activities, such as evacuations and road closures, and postflood recovery efforts. The flood-inundation maps are nonregulatory but provide Federal, State, and local agencies and the public with estimates of the potential extent of flooding during selected peak-flow events.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165107","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Flynn, R.H., Bent, G.C., and Lombard, P.J., 2016, Flood-inundation maps for the Green River in Colrain, Leyden, and Greenfield, Massachusetts, from U.S. Geological Survey streamgage 01170100 Green River near Colrain to the confluence with the Deerfield River (ver. 1.1, November 2016): U.S. Geological Survey Scientific Investigations Report 2016–5107, 18 p., appendixes, https://doi.org/10.3133/sir20165107.","productDescription":"Report: vi, 18 p.; Appendix 2; Application Site; Metadata; Spatial Data","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-062774","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":331081,"rank":8,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2016/5107/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2016-5107"},{"id":331083,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2016/5107/sir20165107_flood-inundation_gis.zip","text":"Flood Inundation GIS","size":"4.59 MB"},{"id":327919,"rank":6,"type":{"id":4,"text":"Application Site"},"url":"https://wimcloud.usgs.gov/apps/FIM/FloodInundationMapper.html","text":"Flood Inundation Mapper ","linkFileType":{"id":5,"text":"html"},"description":"SIR 2016-5107"},{"id":327920,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2016/5107/sir20165107_appendix2_metadata.xml ","text":"Appendix 2 - ","size":"13.6  KB xml","description":"SIR 2016-5107","linkHelpText":"metadata"},{"id":327917,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5107/sir20165107.pdf","text":"Report","size":"1.21 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5107"},{"id":327918,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5107/sir20165107_appendix2_gis.zip","text":"Appendix 2 - ","size":"160 KB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5107 - Spatial Data","linkHelpText":"GIS"},{"id":327916,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5107/coverthb2.jpg"},{"id":331082,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2016/5107/sir20165107_flood-inundation_metadata.xml","text":"Flood Inundation GIS ","size":"26 KB xml","linkHelpText":"metadata"}],"country":"United States","state":"Massachusetts","city":"Colrain, Greenfield, Leyden","otherGeospatial":"Green River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.55,\n              42.55\n            ],\n            [\n              -72.55,\n              42.72\n            ],\n            [\n              -72.7,\n              42.72\n            ],\n            [\n              -72.7,\n              42.55\n            ],\n            [\n              -72.55,\n              42.55\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted September 2, 2016; Version 1.1: November 23, 2016","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\">Director</a>, New England Water Science Center<br /> U.S. Geological Survey<br /> 10 Bearfoot Road<br /> Northborough, MA 01532</p>\n<p>Or visit our Web site at:<br /> <a href=\"http://newengland.water.usgs.gov\">http://newengland.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Creation of Flood-Inundation Map Library</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Simulated Water-Surface Elevations at Modeled Cross Sections Along the Green River Study Reach in Colrain, Leyden, and Greenfield, Massachusetts</li><li>Appendix 2. Shapefiles of Flood Inundation Areas for the 1- and 0.2 Percent Annual Exceedance Probability Flows Along the Green River Study Reach in Colrain, Leyden, and Greenfield, Massachusetts</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-09-02","revisedDate":"2016-11-23","noUsgsAuthors":false,"publicationDate":"2016-09-02","publicationStatus":"PW","scienceBaseUri":"57ca94a9e4b0f2f0cec194e4","contributors":{"authors":[{"text":"Flynn, Robert H. rflynn@usgs.gov","contributorId":2137,"corporation":false,"usgs":true,"family":"Flynn","given":"Robert","email":"rflynn@usgs.gov","middleInitial":"H.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bent, Gardner C. 0000-0002-5085-3146 gbent@usgs.gov","orcid":"https://orcid.org/0000-0002-5085-3146","contributorId":1864,"corporation":false,"usgs":true,"family":"Bent","given":"Gardner","email":"gbent@usgs.gov","middleInitial":"C.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lombard, Pamela J. plombard@usgs.gov","contributorId":173171,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela","email":"plombard@usgs.gov","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":643529,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70169032,"text":"sir20165027 - 2016 - Tropical storm Irene flood of August 2011 in northwestern Massachusetts","interactions":[],"lastModifiedDate":"2016-09-03T20:49:21","indexId":"sir20165027","displayToPublicDate":"2016-09-02T11:45:00","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":"2016-5027","title":"Tropical storm Irene flood of August 2011 in northwestern Massachusetts","docAbstract":"<p>A Presidential disaster was declared in northwestern Massachusetts, following flooding from tropical storm Irene on August 28, 2011. During the storm, 3 to 10 inches of rain fell on soils that were susceptible to flash flooding because of wet antecedent conditions. The gage height at one U.S. Geological Survey streamgage rose nearly 20 feet in less than 4 hours because of the combination of saturated soils and intense rainfall. On August 28, 2011, in the Deerfield and Hoosic River Basins in northwestern Massachusetts, new peaks of record were set at six of eight U.S. Geological Survey long-term streamgages with 46 to 100 years of record. Additionally, high-water marks were surveyed and indirect measurements of peak discharge were calculated at two discontinued streamgages in the Deerfield and Hoosic River Basins with 24 and 61 years of record, respectively. This data resulted in new historic peaks of record at the two discontinued streamgages from tropical storm Irene.</p>\n<p>Peak flows that resulted from tropical storm Irene (August 28, 2011) were determined at the U.S. Geological Survey streamgages by using stage-discharge rating curves and indirect computation methods. For six streamgages, indirect computation methods were used to compute the peak flows. Peak flows from tropical storm Irene had annual exceedance probabilities (AEPs) that ranged from 5.4 percent to less than 0.2 percent at 10 streamgages in northwestern Massachusetts.</p>\n<p>Discharges calculated for select AEPs as a part of this study were compared with discharges published for the same AEPs in the effective Federal Emergency Management Agency flood insurance studies (FISs) for communities in the study area. Discharges estimated for the 10-, 2-, 1-, and 0.2-percent AEPs at two streamgages on the main stem of the Deerfield River ranged from about 3 percent lower to 14 percent higher than discharges in the FISs. AEP discharges calculated for two streamgages on tributaries to the Deerfield River were 27 to 89 percent higher than the FISs. For the four streamgages in the Hoosic River Basin, the 10-, 2-, 1-, and 0.2-percent AEP discharges calculated ranged from about 33 percent lower to 5 percent higher than the FISs.</p>\n<p>The simulated 1-percent AEP discharge water-surface elevations (nonregulatory) from recent (2015&ndash;16) hydraulic models for river reaches in the study area, which include the Deerfield, Green, and North Rivers in the Deerfield River Basin and the Hoosic River in the Hoosic River Basin, were compared with water-surface profiles in the FISs. The water-surface elevation comparisons were generally done downstream and upstream from bridges, dams, and major tributaries. The simulated 1-percent AEP discharge water-surface elevations of the recent hydraulic studies averaged 2.2, 2.3, 0.3, and 0.7 ft higher than water-surface elevations in the FISs for the Deerfield, Green, North, and Hoosic Rivers, respectively. The differences in water-surface elevations between the recent (2015&ndash;16) hydraulic studies and the FISs likely are because of (1) improved land elevation data from light detection and ranging (lidar) data collected in 2012, (2) detailed surveying of hydraulic structures and cross sections throughout the river reaches in 2012&ndash;13 (reflecting structure and cross section changes during the last 30&ndash;35 years), (3) updated hydrology analyses (30&ndash;35 water years of additional peak flow data at streamgages), and (4) high-water marks from the 2011 tropical storm Irene flood being used for model calibration.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165027","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Bent, G.C., Olson, S.A., and Massey, A.J., 2016, Tropical storm Irene flood of August 2011 in northwestern Massachusetts: U.S. Geological Survey 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<br /> 10 Bearfoot Road <br /> Northborough, MA 01532</p>\n<p>Or visit our Web site at:<br /> <a href=\"http://newengland.water.usgs.gov\">http://newengland.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Tropical Storm Irene</li><li>Description of Flood</li><li>Comparison of 2011 Flood Data</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-09-02","noUsgsAuthors":false,"publicationDate":"2016-09-02","publicationStatus":"PW","scienceBaseUri":"57ca94ade4b0f2f0cec194ee","contributors":{"authors":[{"text":"Bent, Gardner C. 0000-0002-5085-3146 gbent@usgs.gov","orcid":"https://orcid.org/0000-0002-5085-3146","contributorId":1864,"corporation":false,"usgs":true,"family":"Bent","given":"Gardner","email":"gbent@usgs.gov","middleInitial":"C.","affiliations":[{"id":466,"text":"New England Water Science 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,{"id":70171077,"text":"sir20165065 - 2016 - Hydrogeologic barriers to the infiltration of treated wastewater at the Joint Base McGuire-Dix-Lakehurst Land Application Site, Burlington County, New Jersey","interactions":[],"lastModifiedDate":"2016-09-06T11:16:12","indexId":"sir20165065","displayToPublicDate":"2016-09-02T11:15:00","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":"2016-5065","title":"Hydrogeologic barriers to the infiltration of treated wastewater at the Joint Base McGuire-Dix-Lakehurst Land Application Site, Burlington County, New Jersey","docAbstract":"<p>For the final phase of wastewater treatment operations at Joint Base McGuire-Dix-Lakehurst in Burlington County, New Jersey, treated effluent is pumped to 12 infiltration basins on a Land Application Site to recharge the unconfined Kirkwood-Cohansey aquifer system. Two of the 12 infiltration basins are operationally ineffective because discharged effluent fails to percolate and remains ponded on the basin surfaces. A study conducted by the U.S. Geological Survey, in cooperation with the U.S. Department of Defense, investigated the potential hydrogeologic conditions preventing infiltration in these basins by testing the geophysical, lithological, and hydraulic characteristics of the aquifer material underlying the site. Saturated sand, sandy clay, and unsaturated sand were encountered in succession through the upper 4 feet of sediment below land surface at the two ineffective basins. Water levels in auger borings penetrating the clay and underlying dry sand were measured as deeper than water levels in nested auger borings in the saturated sand overlying the clay, which indicates a downward vertical gradient was established after removal of the clay in the deeper borings created a conduit for drainage from the surficial saturated sands. Ground-penetrating radar surveys and additional water levels measured in piezometer wells adjacent to the infiltration basins indicated a lack of connectivity between the ponded basin water and the regional water table, and demonstrated that perched conditions were not present in native formation materials outside the inoperable basins. Therefore, the near-surface low permeability clay is likely preventing infiltration from the basin surface and causes the ineffectiveness of the two basins for wastewater land application operations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165065","collaboration":"Prepared in cooperation with the U.S. Department of Defense","usgsCitation":"Fiore, A.R., 2016, Hydrogeologic barriers to the infiltration of treated wastewater at the Joint Base McGuire-Dix-Lakehurst Land Application Site, Burlington County, New Jersey: U.S. Geological Survey Scientific Investigations Report 2016–5065, 83 p., https://dx.doi.org/10.3133/sir20165065.","productDescription":"viii, 83 p.","numberOfPages":"96","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-069659","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":328197,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5065/sir20165065.pdf","text":"Report","size":"7.38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5065"},{"id":328196,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5065/coverthb.jpg"}],"country":"United States","state":"New Jersey","county":"Burlington County","otherGeospatial":"Joint Base McGuire-Dix-Lakehurst","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.65,\n              40.0125\n            ],\n            [\n              -74.65,\n              39.954167\n            ],\n            [\n              -74.575,\n              39.954167\n            ],\n            [\n              -74.575,\n              40.0125\n            ],\n            [\n              -74.65,\n              40.0125\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nj@usgs.gov\" data-mce-href=\"mailto:dc_nj@usgs.gov\">Director</a>, New Jersey Water Science Center<br> U.S. Geological Survey<br>3450 Princeton Pike, Suite 110<br> Lawrenceville, NJ 08648<br> <a href=\"http://nj.usgs.gov/\" data-mce-href=\"http://nj.usgs.gov/\">http://nj.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Acknowledgments</li>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Methods of Investigation</li>\n<li>Assessment of Site Hydrogeology and Applicability to Wastewater Infiltration Effectiveness</li>\n<li>Summary and Conclusions&nbsp;</li>\n<li>References Cited</li>\n<li>Appendix 1.&nbsp;Ground-penetrating radar profile images from the Joint Base McGuire-Dix-Lakehurst Land Application Site, New Jersey&nbsp;</li>\n<li>Appendix 2.&nbsp;Natural gamma logs of wells at the Joint Base McGuire-Dix-Lakehurst Land Application Site and vicinity, New Jersey</li>\n<li>Appendix 3.&nbsp;Table of well construction and driller log descriptions from wells at the Joint &nbsp;Base McGuire-Dix-Lakehurst Land Application Site and vicinity, New Jersey</li>\n<li>Appendix 4.&nbsp;Normalized water-level displacement as a function of time during slug tests of piezometer wells at the Joint Base McGuire-Dix-Lakehurst Land Application Site, New Jersey, using Bouwer and Rice (1976) solution</li>\n<li>Appendix 5.&nbsp;Table of discrete water-level altitudes in piezometer wells at the Joint Base McGuire-Dix-Lakehurst Land Application Site, New Jersey, as measured by site operators from January 2000&ndash;December 2014&nbsp;</li>\n<li>Appendix 6.&nbsp;Discrete water levels in piezometer wells at the Joint Base McGuire-Dix-Lakehurst Land Application Site, New Jersey, as measured by site operators from January 2000&ndash;December 2014</li>\n</ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2016-09-02","noUsgsAuthors":false,"publicationDate":"2016-09-02","publicationStatus":"PW","scienceBaseUri":"57ca94abe4b0f2f0cec194e8","contributors":{"authors":[{"text":"Fiore, Alex R. 0000-0002-0986-5225 afiore@usgs.gov","orcid":"https://orcid.org/0000-0002-0986-5225","contributorId":4977,"corporation":false,"usgs":true,"family":"Fiore","given":"Alex","email":"afiore@usgs.gov","middleInitial":"R.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629766,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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